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Naren Ramakrishnan
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- affiliation: Virginia Tech, Blacksburg, Virginia, USA
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2020 – today
- 2024
- [j133]Shengzhe Xu
, Christo Kurisummoottil Thomas
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems. IEEE Netw. 38(5): 10-20 (2024) - [j132]Andreea Sistrunk
Redistrict: Online Public Deliberation Support that Connects and Rebuilds Inclusive Communities. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-23 (2024) - [j131]Taoran Ji
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling. ACM Trans. Knowl. Discov. Data 18(6): 144:1-144:23 (2024) - [c189]Mandar Sharma, Rutuja Murlidhar Taware, Pravesh Koirala, Nikhil Muralidhar, Naren Ramakrishnan:
Laying Anchors: Semantically Priming Numerals in Language Modeling. NAACL-HLT (Findings) 2024: 2653-2660 - [i80]Shengzhe Xu, Christo Kurisummoottil Thomas, Omar Hashash, Nikhil Muralidhar, Walid Saad, Naren Ramakrishnan:
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems. CoRR abs/2402.01748 (2024) - [i79]Mandar Sharma, Rutuja Murlidhar Taware, Pravesh Koirala, Nikhil Muralidhar, Naren Ramakrishnan:
Laying Anchors: Semantically Priming Numerals in Language Modeling. CoRR abs/2404.01536 (2024) - [i78]Rashed Shelim, Walid Saad, Naren Ramakrishnan:
Fast Geometric Learning of MIMO Signal Detection over Grassmannian Manifolds. CoRR abs/2406.10453 (2024) - [i77]Mandar Sharma, Nikhil Muralidhar, Shengzhe Xu, Raquib Bin Yousuf, Naren Ramakrishnan:
Information Guided Regularization for Fine-tuning Language Models. CoRR abs/2406.14005 (2024) - [i76]Shengzhe Xu, Cho-Ting Lee, Mandar Sharma, Raquib Bin Yousuf, Nikhil Muralidhar, Naren Ramakrishnan:
Are LLMs Naturally Good at Synthetic Tabular Data Generation? CoRR abs/2406.14541 (2024) - [i75]Xuxin Tang, Eric Krokos, Can Liu, Kylie Davidson, Kirsten Whitley, Naren Ramakrishnan, Chris North:
Steering LLM Summarization with Visual Workspaces for Sensemaking. CoRR abs/2409.17289 (2024) - 2023
- [j130]Vandana Sreedharan, Upinder S. Bhalla, Naren Ramakrishnan:
Using sensitivity analyses to understand bistable system behavior. BMC Bioinform. 24(1): 136 (2023) - [j129]Debanjan Datta
TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade. Inf. Vis. 22(3): 223-245 (2023) - [j128]Subhodip Biswas
Memetic Algorithms for Spatial Partitioning Problems. ACM Trans. Spatial Algorithms Syst. 9(1): 5:1-5:31 (2023) - [c188]Andreea Sistrunk
Redistrict: Designing a Self-Serve Interactive Boundary Optimization System. Conference on Designing Interactive Systems (Companion Volume) 2023: 284-287 - [c187]Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash:
EINNs: Epidemiologically-Informed Neural Networks. AAAI 2023: 14453-14460 - [c186]Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu:
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. AAAI 2023: 15912-15920 - [c185]Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan:
Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency. ACL (1) 2023: 6178-6191 - [c184]Andreea Sistrunk, Subhodip Biswas, James Egenrieder, William Glenn, Kurt Luther, Naren Ramakrishnan:
CSCW & Redrawing Public School Boundaries: An Intersection of Computer Science, Education Policy, and Geography Research. ECSCW 2023 - [c183]Abhinav Prasad
ML-Assisted Optimization of Securities Lending. ICAIF 2023: 628-636 - [i74]Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan:
Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency. CoRR abs/2305.08246 (2023) - 2022
- [j127]K. S. M. Tozammel Hossain, Hrayr Harutyunyan, Yue Ning, Brendan Kennedy
Identifying geopolitical event precursors using attention-based LSTMs. Frontiers Artif. Intell. 5 (2022) - [j126]Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. ACM Trans. Knowl. Discov. Data 16(2): 40:1-40:28 (2022) - [c182]Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji
Blocking Influence at Collective Level with Hard Constraints (Student Abstract). AAAI 2022: 13115-13116 - [c181]Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan:
Improving Zero-Shot Event Extraction via Sentence Simplification. CASE@EMNLP 2022: 32-43 - [c180]Andreea Sistrunk, Subhodip Biswas, Nathan Self, Kurt Luther, Naren Ramakrishnan:
Redistricting Practices in Public Schools: Social Progress or Necessity? ECSCW 2022 - [c179]Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy J. O'Shea, Naren Ramakrishnan:
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. ICDM 2022: 1161-1166 - [c178]Debanjan Datta, Feng Chen, Naren Ramakrishnan
Framing Algorithmic Recourse for Anomaly Detection. KDD 2022: 283-293 - [c177]Gopikrishna Rathinavel, Nikhil Muralidhar, Naren Ramakrishnan, Timothy J. O'Shea:
Efficient Generative Wireless Anomaly Detection for Next Generation Networks. MILCOM 2022: 594-599 - [i73]Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash:
EINNs: Epidemiologically-Informed Neural Networks. CoRR abs/2202.10446 (2022) - [i72]Nikhil Muralidhar, Abdullah Zubair, Nathanael R. Weidler, Ryan M. Gerdes, Naren Ramakrishnan:
Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores. CoRR abs/2203.02095 (2022) - [i71]Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan:
Improving Zero-Shot Event Extraction via Sentence Simplification. CoRR abs/2204.02531 (2022) - [i70]Subhodip Biswas
Sampling-based techniques for designing school boundaries. CoRR abs/2206.03703 (2022) - [i69]Debanjan Datta
Framing Algorithmic Recourse for Anomaly Detection. CoRR abs/2206.14384 (2022) - [i68]Raquib Bin Yousuf, Subhodip Biswas, Kulendra Kumar Kaushal, James Dunham
Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions. CoRR abs/2207.04029 (2022) - [i67]Mandar Sharma, Ajay Gogineni, Naren Ramakrishnan
Innovations in Neural Data-to-text Generation. CoRR abs/2207.12571 (2022) - [i66]Debanjan Datta, Sathappan Muthiah, John Simeone
Scrutinizing Shipment Records To Thwart Illegal Timber Trade. CoRR abs/2208.00493 (2022) - [i65]Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu
Memetic algorithms for Spatial Partitioning problems. CoRR abs/2208.02867 (2022) - [i64]Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy J. O'Shea, Naren Ramakrishnan
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. CoRR abs/2210.02841 (2022) - [i63]Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan
Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic. CoRR abs/2211.02098 (2022) - 2021
- [j125]Gubbi Vani HarshaRani, S. Moza
SWITCHES: Searchable Web Interface for Topologies of CHEmical Switches. Bioinform. 37(16): 2504-2505 (2021) - [j124]Tian Shi
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. Trans. Data Sci. 2(1): 1:1-1:37 (2021) - [j123]Arjun Choudhry, Mandar Sharma, Pramod Chundury, Thomas Kapler, Derek W. S. Gray, Naren Ramakrishnan
Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality. IEEE Trans. Vis. Comput. Graph. 27(2): 1332-1342 (2021) - [c176]Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash:
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. AAAI 2021: 4855-4863 - [c175]Taoran Ji
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. AAAI 2021: 7953-7960 - [c174]Bing He
Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis. ASONAM 2021: 90-94 - [c173]Padmaksha Roy, Shailik Sarkar, Subhodip Biswas
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. ASONAM 2021: 168-175 - [c172]Nikhil Muralidhar, Abdullah Zubair, Nathanael R. Weidler, Ryan M. Gerdes, Naren Ramakrishnan
Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores. HOST 2021: 181-191 - [c171]Nikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Naren Ramakrishnan
PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields. ICDM 2021: 1246-1251 - [c170]Mandar Sharma, John S. Brownstein, Naren Ramakrishnan
T3: Domain-Agnostic Neural Time-series Narration. ICDM 2021: 1324-1329 - [e3]Kamal Karlapalem
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12712, Springer 2021, ISBN 978-3-030-75761-8 [contents] - [e2]Kamal Karlapalem
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12713, Springer 2021, ISBN 978-3-030-75764-9 [contents] - [e1]Kamal Karlapalem
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12714, Springer 2021, ISBN 978-3-030-75767-0 [contents] - [i62]Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash:
Incorporating Expert Guidance in Epidemic Forecasting. CoRR abs/2101.10247 (2021) - [i61]Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan:
Detecting Anomalies Through Contrast in Heterogeneous Data. CoRR abs/2104.01156 (2021) - [i60]Nikhil Muralidhar, Sathappan Muthiah, Patrick Butler, Manish Jain, Yu Yu, Katy Burne, Weipeng Li, David Jones, Prakash Arunachalam, Hays 'Skip' McCormick, Naren Ramakrishnan:
Using AntiPatterns to avoid MLOps Mistakes. CoRR abs/2107.00079 (2021) - [i59]Mandar Sharma, John S. Brownstein, Naren Ramakrishnan:
TCube: Domain-Agnostic Neural Time-series Narration. CoRR abs/2110.05633 (2021) - [i58]Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. CoRR abs/2111.05199 (2021) - 2020
- [j122]Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan
Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems. Big Data 8(5): 431-449 (2020) - [j121]Liang Zhao, Jiangzhuo Chen, Feng Chen, Fang Jin
Online flu epidemiological deep modeling on disease contact network. GeoInformatica 24(2): 443-475 (2020) - [j120]Vanessa Cedeno-Mieles
Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework. Soc. Netw. Anal. Min. 10(1): 11 (2020) - [j119]Nikhil Muralidhar
Cut-n-Reveal: Time Series Segmentations with Explanations. ACM Trans. Intell. Syst. Technol. 11(5): 53:1-53:26 (2020) - [j118]Yaser Keneshloo
Deep Reinforcement Learning for Sequence-to-Sequence Models. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2469-2489 (2020) - [c169]Debanjan Datta
Detecting Suspicious Timber Trades. AAAI 2020: 13248-13254 - [c168]Subhodip Biswas
Geospatial Clustering for Balanced and Proximal Schools. AAAI 2020: 13358-13365 - [c167]Subhodip Biswas
Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems. SIGSPATIAL/GIS 2020: 25-35 - [c166]Fanglan Chen, Zhiqian Chen, Subhodip Biswas
Graph Convolutional Networks with Kalman Filtering for Traffic Prediction. SIGSPATIAL/GIS 2020: 135-138 - [c165]Rongrong Tao, Baojian Zhou, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan
Detecting Media Self-Censorship without Explicit Training Data. SDM 2020: 550-558 - [c164]Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan
PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly. SDM 2020: 559-567 - [i57]Arjun Choudhry, Mandar Sharma, Pramod Chundury, Thomas Kapler, Derek W. S. Gray, Naren Ramakrishnan, Niklas Elmqvist:
Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality. CoRR abs/2009.02649 (2020) - [i56]Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash:
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. CoRR abs/2009.11407 (2020) - [i55]Shengzhe Xu, Manish Marwah, Naren Ramakrishnan:
STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models. CoRR abs/2009.12740 (2020) - [i54]Subhodip Biswas, Adam D. Cobb, Andreea Sistrunk, Naren Ramakrishnan, Brian Jalaian:
Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization. CoRR abs/2012.06453 (2020)
2010 – 2019
- 2019
- [j117]Nannan Wu
A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors. IEEE Trans. Knowl. Data Eng. 31(10): 1849-1862 (2019) - [j116]Maoyuan Sun
The Effect of Edge Bundling and Seriation on Sensemaking of Biclusters in Bipartite Graphs. IEEE Trans. Vis. Comput. Graph. 25(10): 2983-2998 (2019) - [c163]Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan
RumorSleuth: joint detection of rumor veracity and user stance. ASONAM 2019: 131-136 - [c162]Taoran Ji
Feature driven learning framework for cybersecurity event detection. ASONAM 2019: 196-203 - [c161]Vanessa Cedeno-Mieles
Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games. ASONAM 2019: 357-364 - [c160]Nikhil Muralidhar, Sathappan Muthiah, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan
Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach. IEEE BigData 2019: 543-552 - [c159]Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan
NActSeer: Predicting User Actions in Social Network using Graph Augmented Neural Network. CIKM 2019: 1793-1802 - [c158]Subhodip Biswas
REGAL: A Regionalization framework for school boundaries. SIGSPATIAL/GIS 2019: 544-547 - [c157]Taoran Ji
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. IJCAI 2019: 2621-2627 - [c156]Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems. IJCAI 2019: 3180-3186 - [c155]Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan
EpiDeep: Exploiting Embeddings for Epidemic Forecasting. KDD 2019: 577-586 - [c154]Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan:
Mitigating Uncertainty in Document Classification. NAACL-HLT (1) 2019: 3126-3136 - [c153]Yaser Keneshloo, Naren Ramakrishnan
Deep Transfer Reinforcement Learning for Text Summarization. SDM 2019: 675-683 - [c152]Maoyuan Sun
Interactive Bicluster Aggregation in Bipartite Graphs. IEEE VIS (Short Papers) 2019: 246-250 - [c151]Zhihao Hu
On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game. WSC 2019: 169-180 - [c150]Sneha Mehta, Mohammad Raihanul Islam, Huzefa Rangwala, Naren Ramakrishnan
Event Detection using Hierarchical Multi-Aspect Attention. WWW 2019: 3079-3085 - [i53]Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan:
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. CoRR abs/1905.10022 (2019) - [i52]Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan:
Mitigating Uncertainty in Document Classification. CoRR abs/1907.07590 (2019) - [i51]Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne:
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids. CoRR abs/1911.04240 (2019) - [i50]Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan:
Low Rank Factorization for Compact Multi-Head Self-Attention. CoRR abs/1912.00835 (2019) - 2018
- [j115]David R. Easterling, Layne T. Watson, Naren Ramakrishnan
Probability-one homotopy methods for constrained clustering. J. Comput. Appl. Math. 343: 602-618 (2018) - [j114]Prithwish Chakraborty
What to know before forecasting the flu. PLoS Comput. Biol. 14(10) (2018) - [j113]Hao Wu, Xinwei Deng
Sparse estimation of multivariate Poisson log-normal models from count data. Stat. Anal. Data Min. 11(2): 66-77 (2018) - [j112]Nikhil Muralidhar
illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems. ACM Trans. Intell. Syst. Technol. 9(3): 35:1-35:20 (2018) - [j111]Hao Wu
Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models. ACM Trans. Knowl. Discov. Data 12(1): 7:1-7:34 (2018) - [j110]Hao Wu
Generating Realistic Synthetic Population Datasets. ACM Trans. Knowl. Discov. Data 12(4): 45:1-45:22 (2018) - [j109]John E. Wenskovitch
Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics. IEEE Trans. Vis. Comput. Graph. 24(1): 131-141 (2018) - [c149]Pejman Khadivi, Ravi Tandon, Naren Ramakrishnan
Flow of Information in Feed-Forward Denoising Neural Networks. ICCI*CC 2018: 166-173 - [c148]Yue Ning
When do Crowds Turn Violent? Uncovering Triggers from Media. ASONAM 2018: 77-82 - [c147]Yihui Ren
Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis. ASONAM 2018: 413-420 - [c146]Taoran Ji
Multi-Task Learning for Transit Service Disruption Detection. ASONAM 2018: 634-641 - [c145]Nikhil Muralidhar, Mohammad Raihanul Islam, Manish Marwah, Anuj Karpatne, Naren Ramakrishnan
Incorporating Prior Domain Knowledge into Deep Neural Networks. IEEE BigData 2018: 36-45 - [c144]Sujay Yadawadkar, Brian Mayer
Identifying Distracted and Drowsy Drivers Using Naturalistic Driving Data. IEEE BigData 2018: 2019-2026 - [c143]Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan
DeepDiffuse: Predicting the 'Who' and 'When' in Cascades. ICDM 2018: 1055-1060 - [c142]Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang
Social Media based Simulation Models for Understanding Disease Dynamics. IJCAI 2018: 3797-3804 - [c141]Mohammad Raihanul Islam, B. Aditya Prakash, Naren Ramakrishnan
SIGNet: Scalable Embeddings for Signed Networks. PAKDD (2) 2018: 157-169 - [c140]Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan
Sub2Vec: Feature Learning for Subgraphs. PAKDD (2) 2018: 170-182 - [c139]Nasrin Akhter, Liang Zhao, Desmond Arias, Huzefa Rangwala, Naren Ramakrishnan
Forecasting Gang Homicides with Multi-level Multi-task Learning. SBP-BRiMS 2018: 28-37 - [c138]Yue Ning
STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting. SDM 2018: 99-107 - [c137]Vanessa Cedeno-Mieles
Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments. WSC 2018: 774-785 - [i49]Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy:
Deep Reinforcement Learning For Sequence to Sequence Models. CoRR abs/1805.09461 (2018) - [i48]Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Deep Transfer Reinforcement Learning for Text Summarization. CoRR abs/1810.06667 (2018) - [i47]Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. CoRR abs/1812.02303 (2018) - 2017
- [j108]Liang Zhao, Junxiang Wang
Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization. Proc. IEEE 105(10): 1953-1970 (2017) - [j107]Theodoros Rekatsinas
Forecasting rare disease outbreaks from open source indicators. Stat. Anal. Data Min. 10(2): 136-150 (2017) - [j106]Xiaokui Shu
Long-Span Program Behavior Modeling and Attack Detection. ACM Trans. Priv. Secur. 20(4): 12:1-12:28 (2017) - [j105]Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu
Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting. IEEE Trans. Knowl. Data Eng. 29(5): 1059-1072 (2017) - [c136]Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan:
Determining Relative Airport Threats from News and Social Media. AAAI 2017: 4701-4707 - [c135]Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data. CIKM 2017: 507-516 - [c134]Rupinder Paul Khandpur, Taoran Ji
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media. CIKM 2017: 1049-1057 - [c133]Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan
Distributed Representations of Subgraphs. ICDM Workshops 2017: 111-117 - [c132]Fang Jin
Tracking Multiple Social Media for Stock Market Event Prediction. ICDM 2017: 16-30 - [c131]Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources. KDD 2017: 1477-1485 - [c130]Yue Ning
A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation. RecSys 2017: 23-31 - [c129]Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan
Pruning Decision Trees via Max-Heap Projection. SDM 2017: 10-18 - [c128]Fang Jin, Feng Chen, Rupinder Paul Khandpur, Chang-Tien Lu, Naren Ramakrishnan:
Absenteeism Detection in Social Media. SDM 2017: 606-614 - [r2]Naren Ramakrishnan, Chris Bailey-Kellogg:
Gaussian Process Models in Spatial Data Mining. Encyclopedia of GIS 2017: 639-644 - [i46]Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources. CoRR abs/1702.06663 (2017) - [i45]Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash:
Distributed Representation of Subgraphs. CoRR abs/1702.06921 (2017) - [i44]Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan:
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media. CoRR abs/1702.07745 (2017) - [i43]Farzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe:
A Framework for Evaluating Epidemic Forecasts. CoRR abs/1703.09828 (2017) - [i42]Malay Chakrabarti, Lenwood S. Heath, Naren Ramakrishnan:
New methods to generate massive synthetic networks. CoRR abs/1705.08473 (2017) - 2016
- [j104]Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
Capturing Planned Protests from Open Source Indicators. AI Mag. 37(2): 63-75 (2016) - [j103]Hao Zhang
Causality reasoning about network events for detecting stealthy malware activities. Comput. Secur. 58: 180-198 (2016) - [j102]Naren Ramakrishnan, Ravi Kumar:
Big Data. Computer 49(4): 20-22 (2016) - [j101]Liangzhe Chen
Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models. Data Min. Knowl. Discov. 30(3): 681-710 (2016) - [j100]Raimundo F. Dos Santos
A framework for intelligence analysis using spatio-temporal storytelling. GeoInformatica 20(2): 285-326 (2016) - [j99]Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu
Automatic targeted-domain spatiotemporal event detection in twitter. GeoInformatica 20(4): 765-795 (2016) - [j98]Raimundo F. Dos Santos
The big data of violent events: algorithms for association analysis using spatio-temporal storytelling. GeoInformatica 20(4): 879-921 (2016) - [j97]Gizem Korkmaz
Multi-source models for civil unrest forecasting. Soc. Netw. Anal. Min. 6(1): 50:1-50:25 (2016) - [j96]Liang Zhao
Online Spatial Event Forecasting in Microblogs. ACM Trans. Spatial Algorithms Syst. 2(4): 15:1-15:39 (2016) - [j95]Maoyuan Sun
BiSet: Semantic Edge Bundling with Biclusters for Sensemaking. IEEE Trans. Vis. Comput. Graph. 22(1): 310-319 (2016) - [c127]Mohammad Raihanul Islam, K. S. M. Tozammel Hossain, Siddharth Krishnan, Naren Ramakrishnan:
Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices. AAAI 2016: 4-12 - [c126]Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan:
Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors. AAAI 2016: 1352-1358 - [c125]Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Topical Analysis of Interactions Between News and Social Media. AAAI 2016: 2964-2971 - [c124]Pejman Khadivi, Naren Ramakrishnan:
Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior. AAAI 2016: 4016-4021 - [c123]Yaser Keneshloo, Shuguang Wang, Eui-Hong Sam Han, Naren Ramakrishnan
Predicting the shape and peak time of news article views. IEEE BigData 2016: 2400-2409 - [c122]Hao Zhang
Causality-based Sensemaking of Network Traffic for Android Application Security. AISec@CCS 2016: 47-58 - [c121]Wei Wang, Yue Ning
A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events. CIKM 2016: 509-518 - [c120]Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach. CIKM 2016: 1129-1138 - [c119]Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu
Automatical Storyline Generation with Help from Twitter. CIKM 2016: 2383-2388 - [c118]Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Multi-resolution Spatial Event Forecasting in Social Media. ICDM 2016: 689-698 - [c117]Sathappan Muthiah, Patrick Butler
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. KDD 2016: 205-214 - [c116]Parang Saraf
EMBERS AutoGSR: Automated Coding of Civil Unrest Events. KDD 2016: 599-608 - [c115]Yue Ning
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. KDD 2016: 1095-1104 - [c114]Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu
Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting. KDD 2016: 2085-2094 - [c113]B. Aditya Prakash, Naren Ramakrishnan
Leveraging Propagation for Data Mining: Models, Algorithms and Applications. KDD 2016: 2133-2134 - [c112]Brian J. Goode, Juan Ignacio Reyes M., Daniela R. Pardo-Yepez, Gabriel L. Canale, Richard M. Tong, David Mares, Michael J. Roan, Naren Ramakrishnan
Event Detection from Blogs Using Large Scale Analysis of Metaphorical Usage. SBP-BRiMS 2016: 216-225 - [c111]Yaser Keneshloo, Shuguang Wang, Eui-Hong Sam Han, Naren Ramakrishnan:
Predicting the Popularity of News Articles. SDM 2016: 441-449 - [c110]Siddharth Krishnan, Patrick Butler, Ravi Tandon, Jure Leskovec
Seeing the forest for the trees: new approaches to forecasting cascades. WebSci 2016: 249-258 - [p1]Marjan Momtazpour, Mohammad Chehreghani Bozchalui, Naren Ramakrishnan
Installing Electric Vehicle Charging Stations City-Scale: How Many and Where? Computational Sustainability 2016: 149-170 - [i41]Dipayan Maiti, Mohammad Raihanul Islam, Scotland Leman, Naren Ramakrishnan:
Interactive Storytelling over Document Collections. CoRR abs/1602.06566 (2016) - [i40]Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan:
Generating Realistic Synthetic Population Datasets. CoRR abs/1602.06844 (2016) - [i39]Huijuan Shao, K. S. M. Tozammel Hossain, Hao Wu, Maleq Khan, Anil Vullikanti, B. Aditya Prakash, Madhav V. Marathe, Naren Ramakrishnan:
Forecasting the Flu: Designing Social Network Sensors for Epidemics. CoRR abs/1602.06866 (2016) - [i38]Hao Wu, Xinwei Deng, Naren Ramakrishnan:
Sparse Estimation of Multivariate Poisson Log-Normal Model and Inverse Covariance for Count Data. CoRR abs/1602.07337 (2016) - [i37]Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan:
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. CoRR abs/1602.08033 (2016) - [i36]Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan:
Designing Domain Specific Word Embeddings: Applications to Disease Surveillance. CoRR abs/1603.00106 (2016) - [i35]Pejman Khadivi, Ravi Tandon, Naren Ramakrishnan:
Flow of Information in Feed-Forward Deep Neural Networks. CoRR abs/1603.06220 (2016) - [i34]Prithwish Chakraborty, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan:
Hierarchical Quickest Change Detection via Surrogates. CoRR abs/1603.09739 (2016) - [i33]Sathappan Muthiah, Patrick Butler
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. CoRR abs/1604.00033 (2016) - [i32]Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan:
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. CoRR abs/1606.00411 (2016) - [i31]Hao Wu, Maoyuan Sun, Jilles Vreeken, Nikolaj Tatti, Chris North, Naren Ramakrishnan:
Interactive and Iterative Discovery of Entity Network Subgraphs. CoRR abs/1608.03889 (2016) - [i30]Rongrong Tao, Baojian Zhou, Adil Alim, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan:
Social Media as a Sensor for Censorship Detection in News Media. CoRR abs/1611.06947 (2016) - 2015
- [j94]Naren Ramakrishnan
Model-Based Forecasting of Significant Societal Events. IEEE Intell. Syst. 30(5): 86-90 (2015) - [j93]Ting Hua, Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
How events unfold: spatiotemporal mining in social media. ACM SIGSPATIAL Special 7(3): 19-25 (2015) - [j92]Andrew Hoegh, Scotland Leman, Parang Saraf
Bayesian Model Fusion for Forecasting Civil Unrest. Technometrics 57(3): 332-340 (2015) - [j91]Samah Gad, Waqas Javed, Sohaib Ghani, Niklas Elmqvist
ThemeDelta: Dynamic Segmentations over Temporal Topic Models. IEEE Trans. Vis. Comput. Graph. 21(5): 672-685 (2015) - [c109]Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan:
Planned Protest Modeling in News and Social Media. AAAI 2015: 3920-3927 - [c108]Yue Ning
Uncovering News-Twitter Reciprocity via Interaction Patterns. ASONAM 2015: 1-8 - [c107]Gizem Korkmaz, Jose Cadena, Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Naren Ramakrishnan
Combining Heterogeneous Data Sources for Civil Unrest Forecasting. ASONAM 2015: 258-265 - [c106]Liang Zhao, Feng Chen, Chang-Tien Lu
Dynamic theme tracking in Twitter. IEEE BigData 2015: 561-570 - [c105]Xiaokui Shu, Danfeng Yao
Unearthing Stealthy Program Attacks Buried in Extremely Long Execution Paths. CCS 2015: 401-413 - [c104]Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu
SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning. ICDM 2015: 639-648 - [c103]Pejman Khadivi, Ravi Tandon, Naren Ramakrishnan
Online denoising of discrete noisy data. ISIT 2015: 671-675 - [c102]Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan
Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction. KDD 2015: 1285-1294 - [c101]Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu
Multi-Task Learning for Spatio-Temporal Event Forecasting. KDD 2015: 1503-1512 - [c100]Marjan Momtazpour, Jinghe Zhang, Saifur Rahman, Ratnesh K. Sharma, Naren Ramakrishnan
Analyzing Invariants in Cyber-Physical Systems using Latent Factor Regression. KDD 2015: 2009-2018 - [c99]Pejman Khadivi, Prithwish Chakraborty, Ravi Tandon, Naren Ramakrishnan
Time series forecasting via noisy channel reversal. MLSP 2015: 1-6 - [c98]Debakar Shamanta, Sheikh Motahar Naim, Parang Saraf
Concurrent Inference of Topic Models and Distributed Vector Representations. ECML/PKDD (2) 2015: 441-457 - [c97]Theodoros Rekatsinas
SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources. SDM 2015: 379-387 - [c96]Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Spatiotemporal Event Forecasting in Social Media. SDM 2015: 963-971 - [c95]David R. Easterling, Layne T. Watson, Naren Ramakrishnan:
An improved probability-one homotopy map for tracking constrained clustering solutions. SpringSim (HPS) 2015: 233-240 - [i29]Hao Wu, Maoyuan Sun, Peng Mi, Nikolaj Tatti, Chris North, Naren Ramakrishnan:
Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models. CoRR abs/1512.08799 (2015) - 2014
- [j90]Andy Doyle, Graham Katz, Kristen Maria Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Patrick Butler, Nathan Self, Liang Zhao, Chang-Tien Lu
Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System. Big Data 2(4): 185-195 (2014) - [j89]Patrick Butler, Naren Ramakrishnan
Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak? Computer 47(4): 94-97 (2014) - [j88]Fang Jin
Misinformation Propagation in the Age of Twitter. Computer 47(12): 90-94 (2014) - [j87]Hao Wu, Jilles Vreeken
Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas. Data Min. Knowl. Discov. 28(5-6): 1398-1428 (2014) - [j86]Andrea L. Kavanaugh, Ankit Ahuja, Samah Gad, Sloane Neidig, Manuel A. Pérez-Quiñones, Naren Ramakrishnan
(Hyper) local news aggregation: Designing for social affordances. Gov. Inf. Q. 31(1): 30-41 (2014) - [j85]David A. Hanauer, Mohammed Saeed, Kai Zheng, Qiaozhu Mei, Kerby Shedden, Alan R. Aronson, Naren Ramakrishnan
Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis. J. Am. Medical Informatics Assoc. 21(5): 925-937 (2014) - [j84]Alex Endert, Mahmud Shahriar Hossain, Naren Ramakrishnan
The human is the loop: new directions for visual analytics. J. Intell. Inf. Syst. 43(3): 411-435 (2014) - [j83]Mahmud Shahriar Hossain, Manish Marwah, Amip Shah, Layne T. Watson, Naren Ramakrishnan
AutoLCA: A Framework for Sustainable Redesign and Assessment of Products. ACM Trans. Intell. Syst. Technol. 5(2): 34:1-34:21 (2014) - [j82]Marjan Momtazpour, Patrick Butler, Naren Ramakrishnan
Charging and Storage Infrastructure Design for Electric Vehicles. ACM Trans. Intell. Syst. Technol. 5(3): 42:1-42:27 (2014) - [j81]Maoyuan Sun
A Five-Level Design Framework for Bicluster Visualizations. IEEE Trans. Vis. Comput. Graph. 20(12): 1713-1722 (2014) - [c94]Shashidhar Sundereisan, Abhay Bhadriraju, M. Saquib Khan, Naren Ramakrishnan
SansText: Classifying temporal topic dynamics of Twitter cascades without tweet text. ASONAM 2014: 649-656 - [c93]Aravindan Mahendiran, Wei Wang, Jaime Arredondo Sanchez Lira, Bert Huang, Lise Getoor, David Mares, Naren Ramakrishnan
Discovering evolving political vocabulary in social media. BESC 2014: 26-32 - [c92]Andy Doyle, Graham Katz, Kristen Maria Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Liang Zhao, Chang-Tien Lu
The EMBERS architecture for streaming predictive analytics. IEEE BigData 2014: 11-13 - [c91]E. Thomas Ewing, Samah Gad, Naren Ramakrishnan
Understanding the role of medical experts during a public health crisis digital tools and library resources for research on the 1918 Spanish influenza. IEEE BigData 2014: 39-46 - [c90]Hao Zhang
Detection of stealthy malware activities with traffic causality and scalable triggering relation discovery. AsiaCCS 2014: 39-50 - [c89]Maoyuan Sun
The role of interactive biclusters in sensemaking. CHI 2014: 1559-1562 - [c88]Raimundo F. Dos Santos, Sumit Shah, Feng Chen, Arnold P. Boedihardjo, Chang-Tien Lu
Forecasting location-based events with spatio-temporal storytelling. LBSN@SIGSPATIAL/GIS 2014: 13-22 - [c87]Ji Wang, Jian Zhao, Sheng Guo, Chris North, Naren Ramakrishnan:
ReCloud: semantics-based word cloud visualization of user reviews. Graphics Interface 2014: 151-158 - [c86]Liangzhe Chen
Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models. ICDM 2014: 755-760 - [c85]Parang Saraf
Safeguarding abila through multiple data perspectives VAST 2014 Grand Challenge award: Effective analysis and presentation. IEEE VAST 2014: 307-308 - [c84]Parang Saraf
Safeguarding Abila: Discovering evolving activist networks VAST 2014 mini challenge 1: Unstructured text and network data analysis. IEEE VAST 2014: 327-328 - [c83]Parang Saraf
Safeguarding Abila: Spatio-temporal activity modeling VAST 2014 Mini Challenge 2 award: Honorable mention for effective presentation. IEEE VAST 2014: 359-360 - [c82]Patrick Butler, Parang Saraf
Safeguarding Abila: Real-time streaming analysis VAST 2014 Mini Challenge 3: Streaming text analysis. IEEE VAST 2014: 385-386 - [c81]Fang Jin
Modeling mass protest adoption in social network communities using geometric brownian motion. KDD 2014: 1660-1669 - [c80]Naren Ramakrishnan
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD 2014: 1799-1808 - [c79]Prithwish Chakraborty, Pejman Khadivi, Bryan L. Lewis, Aravindan Mahendiran, Jiangzhuo Chen, Patrick Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. SDM 2014: 262-270 - [c78]David R. Easterling, Layne T. Watson, Naren Ramakrishnan:
Tracking constrained clustering solutions with a probability-one homotopy map. SpringSim (HPS) 2014: 13 - [c77]Yaser Keneshloo, Jose Cadena, Gizem Korkmaz, Naren Ramakrishnan
Detecting and forecasting domestic political crises: a graph-based approach. WebSci 2014: 192-196 - [i28]Naren Ramakrishnan, Patrick Butler
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators. CoRR abs/1402.7035 (2014) - 2013
- [j80]Alex Verstak, Naren Ramakrishnan
Using hierarchical data mining to characterize performance of wireless system configurations. Adv. Eng. Softw. 65: 66-77 (2013) - [j79]E. Thomas Ewing, Samah Gad, Naren Ramakrishnan
Gaining Insights into Epidemics by Mining Historical Newspapers. Computer 46(6): 68-72 (2013) - [j78]Patrick Fiaux, Maoyuan Sun
Bixplorer: Visual Analytics with Biclusters. Computer 46(8): 90-94 (2013) - [j77]Ting Hua, Chang-Tien Lu
Analyzing Civil Unrest through Social Media. Computer 46(12): 80-84 (2013) - [j76]Mahmud Shahriar Hossain, Naren Ramakrishnan
How to "alternatize" a clustering algorithm. Data Min. Knowl. Discov. 27(2): 193-224 (2013) - [j75]Proceso L. Fernandez, Lenwood S. Heath, Naren Ramakrishnan
Mining Posets from Linear Orders. Discret. Math. Algorithms Appl. 5(4) (2013) - [j74]Madhav V. Marathe, Naren Ramakrishnan
Recent Advances in Computational Epidemiology. IEEE Intell. Syst. 28(4): 96-101 (2013) - [j73]David A. Hanauer, Naren Ramakrishnan
Modeling temporal relationships in large scale clinical associations. J. Am. Medical Informatics Assoc. 20(2): 332-341 (2013) - [j72]Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
A general streaming algorithm for pattern discovery. Knowl. Inf. Syst. 37(3): 585-610 (2013) - [j71]K. S. M. Tozammel Hossain, Debprakash Patnaik, Srivatsan Laxman, Prateek Jain, Chris Bailey-Kellogg, Naren Ramakrishnan
Improved Multiple Sequence Alignments Using Coupled Pattern Mining. IEEE ACM Trans. Comput. Biol. Bioinform. 10(5): 1098-1112 (2013) - [c76]Weifeng Zhi, Xiang Wang, Buyue Qian, Patrick Butler, Naren Ramakrishnan, Ian Davidson:
Clustering with Complex Constraints - Algorithms and Applications. AAAI 2013: 1056-1062 - [c75]Huijuan Shao, Manish Marwah, Naren Ramakrishnan:
A Temporal Motif Mining Approach to Unsupervised Energy Disaggregation: Applications to Residential and Commercial Buildings. AAAI 2013: 1327-1333 - [c74]Hao Zhang
A semantic-aware approach to reasoning about network traffic relations. CCS 2013: 1375-1378 - [c73]Jingu Kim, Naren Ramakrishnan
Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery. ICDM 2013: 360-369 - [c72]Lauren Bradel, Jessica Zeitz Self, Alex Endert, Mahmud Shahriar Hossain, Chris North, Naren Ramakrishnan
How analysts cognitively "connect the dots". ISI 2013: 24-26 - [c71]Fang Jin
Epidemiological modeling of news and rumors on Twitter. SNAKDD 2013: 8:1-8:9 - [c70]Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu
STED: semi-supervised targeted-interest event detectionin in twitter. KDD 2013: 1466-1469 - [c69]Fang Jin
Forex-foreteller: currency trend modeling using news articles. KDD 2013: 1470-1473 - [c68]David R. Easterling, Mahmud Shahriar Hossain, Layne T. Watson, Naren Ramakrishnan:
Probability-one homotopy maps for tracking constrained clustering solutions. SpringSim (HPC) 2013: 17 - 2012
- [j70]Justin Jee, Lee Case Klippel, Mahmud Shahriar Hossain, Naren Ramakrishnan, Bud Mishra:
Discovering the Ebb and Flow of Ideas from Text Corpora. Computer 45(2): 73-77 (2012) - [j69]Krishna P. C. Madhavan, Mihaela Vorvoreanu, Niklas Elmqvist
Portfolio Mining. Computer 45(10): 95-99 (2012) - [j68]Naren Sundaravaradan, Naren Ramakrishnan
Factorizing Event Sequences. Computer 45(12): 73-75 (2012) - [j67]Pilsung Kang, Naren Ramakrishnan
Adaptive Code Collage: A Framework to Transparently Modify Scientific Codes. Comput. Sci. Eng. 14(1): 52-63 (2012) - [j66]Yong Cao, Debprakash Patnaik, Sean P. Ponce, Jeremy S. Archuleta, Patrick Butler, Wu-chun Feng, Naren Ramakrishnan
Parallel Mining of Neuronal Spike Streams on Graphics Processing Units. Int. J. Parallel Program. 40(6): 605-632 (2012) - [j65]Ming C. Hao, Manish Marwah, Halldór Janetzko, Umeshwar Dayal, Daniel A. Keim, Debprakash Patnaik, Naren Ramakrishnan
Visual exploration of frequent patterns in multivariate time series. Inf. Vis. 11(1): 71-83 (2012) - [j64]Pilsung Kang, Naresh K. C. Selvarasu, Naren Ramakrishnan
Implementing modular adaptation of scientific software. J. Comput. Sci. 3(1-2): 28-45 (2012) - [j63]Rhonda D. Phillips, Layne T. Watson, Randolph H. Wynne
Continuous Iterative Guided Spectral Class Rejection Classification Algorithm. IEEE Trans. Geosci. Remote. Sens. 50(6): 2303-2317 (2012) - [j62]Mahmud Shahriar Hossain, Praveen Kumar Reddy Ojili, Cindy Grimm
Scatter/Gather Clustering: Flexibly Incorporating User Feedback to Steer Clustering Results. IEEE Trans. Vis. Comput. Graph. 18(12): 2829-2838 (2012) - [c67]Prithwish Chakraborty, Manish Marwah, Martin F. Arlitt, Naren Ramakrishnan:
Fine-Grained Photovoltaic Output Prediction Using a Bayesian Ensemble. AAAI 2012: 274-280 - [c66]K. S. M. Tozammel Hossain
Improved multiple sequence alignments using coupled pattern mining. BCB 2012: 28-35 - [c65]Andrea L. Kavanaugh, Samah Gad, Sloane Neidig, Manuel A. Pérez-Quiñones
(Hyper) local news aggregation: designing for social affordances. DG.O 2012: 30-39 - [c64]Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
Efficient Episode Mining of Dynamic Event Streams. ICDM 2012: 605-614 - [c63]Patrick Butler, Prithwish Chakraborty, Naren Ramakrishnan:
The Deshredder: A visual analytic approach to reconstructing shredded documents. IEEE VAST 2012: 113-122 - [c62]Marjan Momtazpour, Patrick Butler, Mahmud Shahriar Hossain, Mohammad Chehreghani Bozchalui, Naren Ramakrishnan
Coordinated clustering algorithms to support charging infrastructure design for electric vehicles. UrbComp@KDD 2012: 126-133 - [c61]Mahmud Shahriar Hossain, Patrick Butler, Arnold P. Boedihardjo, Naren Ramakrishnan
Storytelling in entity networks to support intelligence analysts. KDD 2012: 1375-1383 - [c60]Samah Gad, Naren Ramakrishnan
Bridging the Divide in Democratic Engagement: Studying Conversation Patterns in Advantaged and Disadvantaged Communities. SocialInformatics 2012: 165-176 - [c59]Hao Zhang
User Intention-Based Traffic Dependence Analysis for Anomaly Detection. IEEE Symposium on Security and Privacy Workshops 2012: 104-112 - [i27]Debprakash Patnaik, Naren Ramakrishnan, Srivatsan Laxman, Badrish Chandramouli:
Streaming Algorithms for Pattern Discovery over Dynamically Changing Event Sequences. CoRR abs/1205.4477 (2012) - 2011
- [j61]Manish Marwah, Amip Shah, Cullen E. Bash
Using Data Mining to Help Design Sustainable Products. Computer 44(8): 103-106 (2011) - [j60]Shubhangi G. Deshpande, Layne T. Watson, Jiang Shu, Frederick A. Kamke
Data driven surrogate-based optimization in the problem solving environment WBCSim. Eng. Comput. 27(3): 211-223 (2011) - [j59]Debprakash Patnaik, Srivatsan Laxman, Naren Ramakrishnan
Discovering excitatory relationships using dynamic Bayesian networks. Knowl. Inf. Syst. 29(2): 273-303 (2011) - [j58]Debprakash Patnaik, Manish Marwah, Ratnesh K. Sharma, Naren Ramakrishnan
Temporal data mining approaches for sustainable chiller management in data centers. ACM Trans. Intell. Syst. Technol. 2(4): 34:1-34:29 (2011) - [c58]Mahmud Shahriar Hossain, Christopher Andrews, Naren Ramakrishnan, Chris North:
Helping Intelligence Analysts Make Connections. Scalable Integration of Analytics and Visualization 2011 - [c57]Naren Sundaravaradan, Debprakash Patnaik, Naren Ramakrishnan, Manish Marwah, Amip Shah:
Discovering Life Cycle Assessment Trees from Impact Factor Databases. AAAI 2011: 1415-1420 - [c56]Pilsung Kang, Eli Tilevich
Maintainable and reusable scientific software adaptation: democratizing scientific software adaptation. AOSD 2011: 165-176 - [c55]Christopher Andrews
Analyst's workspace: Protecting vastopolis. IEEE VAST 2011: 323-324 - [c54]K. S. M. Tozammel Hossain
Using physicochemical properties of amino acids to induce graphical models of residue couplings. BIOKDD 2011: 3:1-3:10 - [c53]Debprakash Patnaik, Patrick Butler, Naren Ramakrishnan
Experiences with mining temporal event sequences from electronic medical records: initial successes and some challenges. KDD 2011: 360-368 - [c52]Ming C. Hao, Manish Marwah, Halldór Janetzko, Ratnesh Sharma, Daniel A. Keim, Umeshwar Dayal, Debprakash Patnaik, Naren Ramakrishnan
Visualizing frequent patterns in large multivariate time series. Visualization and Data Analysis 2011: 78680J - 2010
- [j57]Saverio Perugini, Naren Ramakrishnan
Program transformations for information personalization. Comput. Lang. Syst. Struct. 36(3): 223-249 (2010) - [j56]Naren Ramakrishnan
Mining Electronic Health Records. Computer 43(10): 77-81 (2010) - [j55]Mohammed Javeed Zaki, Naren Ramakrishnan, Lizhuang Zhao:
Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling. Int. J. Knowl. Discov. Bioinform. 1(3): 68-96 (2010) - [c51]Neha Goel, Michael S. Hsiao, Naren Ramakrishnan
Mining Complex Boolean Expressions for Sequential Equivalence Checking. Asian Test Symposium 2010: 442-447 - [c50]Yong Cao, Debprakash Patnaik, Sean P. Ponce, Jeremy S. Archuleta, Patrick Butler, Wu-chun Feng, Naren Ramakrishnan
Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware. Conf. Computing Frontiers 2010: 1-10 - [c49]Sheng Guo, Naren Ramakrishnan:
Finding the Storyteller: Automatic Spoiler Tagging using Linguistic Cues. COLING 2010: 412-420 - [c48]Debprakash Patnaik, Manish Marwah, Ratnesh K. Sharma, Naren Ramakrishnan
Data Mining for Modeling Chiller Systems in Data Centers. IDA 2010: 125-136 - [c47]Ming C. Hao, Manish Marwah, Halldor Janetzko, Daniel A. Keim, Umeshwar Dayal, Ratnesh K. Sharma, Debprakash Patnaik, Naren Ramakrishnan
Visual analysis of frequent patterns in large time series. IEEE VAST 2010: 227-228 - [c46]Evan K. Maxwell, Godmar Back, Naren Ramakrishnan
Diagnosing memory leaks using graph mining on heap dumps. KDD 2010: 115-124 - [c45]Naren Sundaravaradan, K. S. M. Tozammel Hossain
Extracting temporal signatures for comprehending systems biology models. KDD 2010: 453-462 - [c44]Mahmud Shahriar Hossain, Satish Tadepalli, Layne T. Watson, Ian Davidson, Richard F. Helm
Unifying dependent clustering and disparate clustering for non-homogeneous data. KDD 2010: 593-602 - [c43]Chreston A. Miller
Structuring ordered nominal data for event sequence discovery. ACM Multimedia 2010: 1075-1078 - [c42]Pilsung Kang, Naresh K. C. Selvarasu, Naren Ramakrishnan
Dynamic tuning of algorithmic parameters of parallel scientific codes. ICCS 2010: 145-153 - [i26]Mahmud Shahriar Hossain, Michael Narayan, Naren Ramakrishnan:
Efficiently Discovering Hammock Paths from Induced Similarity Networks. CoRR abs/1002.3195 (2010)
2000 – 2009
- 2009
- [j54]Naren Ramakrishnan
Computing with Proteins. Computer 42(1): 47-56 (2009) - [j53]Naren Ramakrishnan
The Pervasiveness of Data Mining asnd Machine Learning. Computer 42(8): 28-29 (2009) - [j52]Naren Ramakrishnan
Temporal Process Discovery in Many Guises. Computer 42(8): 97-101 (2009) - [j51]Satish Tadepalli, Naren Ramakrishnan
Simultaneously Segmenting Multiple Gene Expression Time Courses by Analyzing Cluster Dynamics. J. Bioinform. Comput. Biol. 7(2): 339-356 (2009) - [j50]Saverio Perugini, Mary E. Pinney, Naren Ramakrishnan, Manuel A. Pérez-Quiñones, Mary Beth Rosson:
Exploring Out-of-turn Interactions with Websites. J. Digit. Inf. 10(4) (2009) - [j49]John Thomas, Naren Ramakrishnan
Protein Design by Sampling an Undirected Graphical Model of Residue Constraints. IEEE ACM Trans. Comput. Biol. Bioinform. 6(3): 506-516 (2009) - [c41]Sheng Guo, Naren Ramakrishnan
Mining linguistic cues for query expansion: applications to drug interaction search. CIKM 2009: 335-344 - [c40]Pilsung Kang, Naresh K. C. Selvarasu, Naren Ramakrishnan
Modular, Fine-Grained Adaptation of Parallel Programs. ICCS (1) 2009: 269-279 - [c39]Debprakash Patnaik, Srivatsan Laxman, Naren Ramakrishnan
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis. ICDM 2009: 407-416 - [c38]Rhonda D. Phillips, Layne T. Watson, Randolph H. Wynne, Naren Ramakrishnan:
A Hypothesis Test for the Evaluation of Soft Clusters for Classification. IPCV 2009: 672-678 - [c37]Rhonda D. Phillips, Layne T. Watson, Randolph H. Wynne, Naren Ramakrishnan:
An Iterative Framework for the Improvement of Soft Clusters for Classificaction. IPCV 2009: 766-772 - [c36]Debprakash Patnaik, Manish Marwah, Ratnesh K. Sharma, Naren Ramakrishnan
Sustainable operation and management of data center chillers using temporal data mining. KDD 2009: 1305-1314 - [c35]Debprakash Patnaik, Sean P. Ponce, Yong Cao, Naren Ramakrishnan
Accelerator-Oriented Algorithm Transformation for Temporal Data Mining. NPC 2009: 93-100 - [c34]Don Conry, Yehuda Koren, Naren Ramakrishnan
Recommender systems for the conference paper assignment problem. RecSys 2009: 357-360 - [c33]Pilsung Kang, Yang Cao, Naren Ramakrishnan
Modular implementation of adaptive decisions in stochastic simulations. SAC 2009: 995-1001 - [c32]Clifford Conley Owens III, T. M. Murali, Naren Ramakrishnan
Capturing truthiness: mining truth tables in binary datasets. SAC 2009: 1467-1474 - [i25]Debprakash Patnaik, Srivatsan Laxman, Naren Ramakrishnan:
Inferring Dynamic Bayesian Networks using Frequent Episode Mining. CoRR abs/0904.2160 (2009) - [i24]Yong Cao, Debprakash Patnaik, Sean P. Ponce, Jeremy S. Archuleta, Patrick Butler, Wu-chun Feng, Naren Ramakrishnan:
Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors. CoRR abs/0905.2200 (2009) - [i23]Debprakash Patnaik, Sean P. Ponce, Yong Cao, Naren Ramakrishnan:
Accelerator-Oriented Algorithm Transformation for Temporal Data Mining. CoRR abs/0905.2203 (2009) - [i22]Don Conry, Yehuda Koren, Naren Ramakrishnan:
Recommender Systems for the Conference Paper Assignment Problem. CoRR abs/0906.4044 (2009) - 2008
- [j48]Jiang Shu, Layne T. Watson, Naren Ramakrishnan
Unification of problem solving environment implementation layers with XML-based specifications. Adv. Eng. Softw. 39(3): 189-201 (2008) - [j47]Naren Ramakrishnan
Compositional specification and realisation of mixed-initiative web dialogs. Int. J. Web Eng. Technol. 4(3): 336-366 (2008) - [j46]Amrita Pati, Ying Jin, Karsten Klage, Richard F. Helm
CMGSDB: integrating heterogeneous Caenorhabditis elegans data sources using compositional data mining. Nucleic Acids Res. 36(Database-Issue): 69-76 (2008) - [j45]Naren Ramakrishnan
Memory Switches in Chemical Reaction Space. PLoS Comput. Biol. 4(7) (2008) - [j44]Mohammed Javeed Zaki, Naren Ramakrishnan, Srinivasan Parthasarathy:
Biological data mining. Sci. Program. 16(1): 3 (2008) - [j43]John Thomas, Naren Ramakrishnan
Graphical Models of Residue Coupling in Protein Families. IEEE ACM Trans. Comput. Biol. Bioinform. 5(2): 183-197 (2008) - [j42]Ying Jin, T. M. Murali, Naren Ramakrishnan
Compositional mining of multirelational biological datasets. ACM Trans. Knowl. Discov. Data 2(1): 2:1-2:35 (2008) - [j41]Deept Kumar, Naren Ramakrishnan
Algorithms for Storytelling. IEEE Trans. Knowl. Data Eng. 20(6): 736-751 (2008) - [c31]Satish Tadepalli, Naren Ramakrishnan, Layne T. Watson, Bhubaneswar Mishra, Richard F. Helm:
Simultaneously Segmenting Multiple Gene Expression Time Courses by Analyzing Cluster Dynamics. APBC 2008: 297-306 - [c30]Nicholas Andrews, Naren Ramakrishnan:
Seeded Discovery of Base Relations in Large Corpora. EMNLP 2008: 591-599 - [c29]Mark J. Lawson, Lenwood S. Heath, Naren Ramakrishnan
Using Cost-Sensitive Learning to Determine Gene Conversions. ICIC (2) 2008: 1030-1038 - [c28]Yong Ju Cho, Naren Ramakrishnan
Reconstructing chemical reaction networks: data mining meets system identification. KDD 2008: 142-150 - [r1]Naren Ramakrishnan, Chris Bailey-Kellogg:
Gaussian Process Models in Spatial Data Mining. Encyclopedia of GIS 2008: 325-329 - 2007
- [j40]Naren Ramakrishnan
From the Area Editor: Search-The New Incarnations. Computer 40(8): 31-32 (2007) - [j39]Saverio Perugini, Naren Ramakrishnan
Mining Web functional dependencies for flexible information access. J. Assoc. Inf. Sci. Technol. 58(12): 1805-1819 (2007) - [j38]Nilanjan Saha, Layne T. Watson, Karen Kafadar, Naren Ramakrishnan
Validation and Estimation of Parameters for a General Probabilistic Model of the PCR Process. J. Comput. Biol. 14(1): 97-112 (2007) - [j37]Dhananjay Mishra, Clifford A. Shaffer, Naren Ramakrishnan
S4W: a problem-solving environment for wireless system design. Softw. Pract. Exp. 37(14): 1539-1558 (2007) - [j36]Bharath Kumar Mohan, Benjamin J. Keller, Naren Ramakrishnan
Scouts, promoters, and connectors: The roles of ratings in nearest-neighbor collaborative filtering. ACM Trans. Web 1(2): 8 (2007) - [c27]Pilsung Kang, Mike Heffner, Joy Mukherjee, Naren Ramakrishnan
The Adaptive Code Kitchen: Flexible Tools for Dynamic Application Composition. IPDPS 2007: 1-8 - 2006
- [j35]Nilanjan Saha, Layne T. Watson, Karen Kafadar, Alexey Onufriev
A general probabilistic model of the PCR process. Appl. Math. Comput. 182(1): 232-243 (2006) - [j34]Saverio Perugini, Naren Ramakrishnan
Interacting with Web Hierarchies. IT Prof. 8(4): 19-28 (2006) - [j33]Chris Bailey-Kellogg, Naren Ramakrishnan, Madhav V. Marathe:
Spatial data mining to support pandemic preparedness. SIGKDD Explor. 8(1): 80-82 (2006) - [j32]K. P. Unnikrishnan, Naren Ramakrishnan, P. S. Sastry, Ramasamy Uthurusamy:
Network reconstruction from dynamic data. SIGKDD Explor. 8(2): 90-91 (2006) - [j31]Marc Vass, Clifford A. Shaffer, Naren Ramakrishnan
The JigCell Model Builder: A Spreadsheet Interface for Creating Biochemical Reaction Network Models. IEEE ACM Trans. Comput. Biol. Bioinform. 3(2): 155-164 (2006) - [j30]Mehmet Koyutürk
Nonorthogonal decomposition of binary matrices for bounded-error data compression and analysis. ACM Trans. Math. Softw. 32(1): 33-69 (2006) - [c26]Joy Mukherjee, Srinidhi Varadarajan, Naren Ramakrishnan
Scalable Execution of Legacy Scientific Codes. International Conference on Computational Science (1) 2006: 46-53 - [c25]Deept Kumar, Naren Ramakrishnan
Algorithms for storytelling. KDD 2006: 604-610 - [c24]Lizhuang Zhao, Mohammed J. Zaki, Naren Ramakrishnan:
BLOSOM: a framework for mining arbitrary boolean expressions. KDD 2006: 827-832 - [c23]Bharath Kumar Mohan, Benjamin J. Keller, Naren Ramakrishnan:
Scouts, promoters, and connectors: the roles of ratings in nearest neighbor collaborative filtering. EC 2006: 250-259 - 2005
- [j29]Naren Ramakrishnan
From The Area Editor: Frontiers of Search. Computer 38(10): 26-27 (2005) - [j28]Srinidhi Varadarajan, Naren Ramakrishnan
Novel runtime systems support for adaptive compositional modeling in PSEs. Future Gener. Comput. Syst. 21(6): 878-895 (2005) - [j27]Mehmet Koyutürk
Compression, Clustering, and Pattern Discovery in Very High-Dimensional Discrete-Attribute Data Sets. IEEE Trans. Knowl. Data Eng. 17(4): 447-461 (2005) - [c22]Laxmi Parida, Naren Ramakrishnan:
Redescription Mining: Structure Theory and Algorithms. AAAI 2005: 837-844 - [c21]Saverio Perugini, Naren Ramakrishnan
A Generative Programming Approach to Interactive Information Retrieval: Insights and Experiences. GPCE 2005: 205-220 - [c20]John Thomas, Naren Ramakrishnan
Graphical models of residue coupling in protein families. BIOKDD 2005: 12-20 - [c19]Mohammed Javeed Zaki
Reasoning about sets using redescription mining. KDD 2005: 364-373 - [c18]Naren Ramakrishnan
Gaussian Processes for Active Data Mining of Spatial Aggregates. SDM 2005: 427-438 - [i21]Leland Smith, Muthukumar Thirunavukkarasu, Srinidhi Varadarajan, Naren Ramakrishnan:
A Model Based Approach to Reachability Routing. CoRR abs/cs/0511053 (2005) - 2004
- [j26]Marc Vass, Nicholas A. Allen, Clifford A. Shaffer, Naren Ramakrishnan
The JigCell Model Builder and Run Manager. Bioinform. 20(18): 3680-3681 (2004) - [j25]Saverio Perugini, Naren Ramakrishnan
Personalization by Program Slicing. J. Object Technol. 4(3): 5-11 (2004) - [j24]Roger R. Skidmore, Alex Verstak, Naren Ramakrishnan, Theodore S. Rappaport, Layne T. Watson, Jian He, Srinidhi Varadarajan, Clifford A. Shaffer, Jeremy K.-P. Chen, Kyung Kyoon Bae, Jing Jiang, William H. Tranter:
Towards integrated PSEs for wireless communications: experiences with the S4W and SitePlanner® projects. ACM SIGMOBILE Mob. Comput. Commun. Rev. 8(2): 20-34 (2004) - [j23]Jian He, Alex Verstak, Layne T. Watson, C. A. Stinson, Naren Ramakrishnan
Globally optimal transmitter placement for indoor wireless communication systems. IEEE Trans. Wirel. Commun. 3(6): 1906-1911 (2004) - [c17]Chris Bailey-Kellogg, Naren Ramakrishnan:
Spatial Aggregation for Qualitative Assessment of Scientific Computations. AAAI 2004: 585-591 - [c16]Saverio Perugini, Kate McDevitt, Ryan Richardson, Manuel A. Pérez-Quiñones
Enhancing usability in CITIDEL: multimodal, multilingual, and interactive visualization interfaces. JCDL 2004: 315-324 - [c15]Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malcolm Potts, Richard F. Helm:
Turning CARTwheels: an alternating algorithm for mining redescriptions. KDD 2004: 266-275 - [c14]Michael Narayan, Christopher Williams
Staging transformations for multimodal web interaction management. WWW 2004: 212-223 - [i20]Saverio Perugini, Naren Ramakrishnan, Edward A. Fox:
Automatically Generating Interfaces for Personalized Interaction with Digital Libraries. CoRR cs.DL/0402022 (2004) - 2003
- [j22]Saverio Perugini, Naren Ramakrishnan
Personalizing interactions with information systems. Adv. Comput. 57: 323-382 (2003) - [j21]Srinidhi Varadarajan, Naren Ramakrishnan, Muthukumar Thirunavukkarasu:
Reinforcing reachable route. Comput. Networks 43(3): 389-416 (2003) - [j20]E. J. Rubin, Clifford A. Shaffer, Naren Ramakrishnan
From landscapes to waterscapes: A PSE for landuse change analysis. Eng. Comput. 19(1): 9-25 (2003) - [j19]Batul J. Mirza, Benjamin J. Keller, Naren Ramakrishnan
Studying Recommendation Algorithms by Graph Analysis. J. Intell. Inf. Syst. 20(2): 131-160 (2003) - [j18]Nicholas A. Allen, Clifford A. Shaffer, Naren Ramakrishnan
Improving the Development Process for Eukaryotic Cell Cycle Models with a Modeling Support Environment. Simul. 79(12): 674-688 (2003) - [j17]Alex Verstak, Naren Ramakrishnan
BSML: A binding schema markup language for data interchange in problem solving environments. Sci. Program. 11(3): 199-224 (2003) - [c13]Naren Ramakrishnan
The Traits of the Personable. ITWP 2003: 53-68 - [c12]Naren Ramakrishnan, Christopher Bailey-Kellogg:
Gaussian Process Models of Spatial Aggregation Algorithms. IJCAI 2003: 1045-1051 - [c11]Allan A. Sioson, Jonathan I. Watkinson, Cecilia Vasquez-Robinet
Expresso and Chips: Creating a Next Generation Microarray Experiment Management System. IPDPS 2003: 209 - [c10]Nicholas A. Allen, Clifford A. Shaffer, Marc Vass, Naren Ramakrishnan, Layne T. Watson:
Next generation modeling II - applications: improving the development process for eukaryotic cell cycle models with a modeling support environment. WSC 2003: 782-790 - [i19]Srinidhi Varadarajan, Naren Ramakrishnan:
Novel Runtime Systems Support for Adaptive Compositional Modeling on the Grid. CoRR cs.CE/0301018 (2003) - [i18]Deept Kumar, Naren Ramakrishnan, Malcolm Potts, Richard F. Helm:
Turning CARTwheels: An Alternating Algorithm for Mining Redescriptions. CoRR cs.CE/0311048 (2003) - [i17]Saverio Perugini, Mary E. Pinney, Naren Ramakrishnan, Manuel A. Pérez-Quiñones, Mary Beth Rosson:
Taking the Initiative with Extempore: Exploring Out-of-Turn Interactions with Websites. CoRR cs.HC/0312016 (2003) - [i16]Atul Shenoy, Naren Ramakrishnan, Manuel A. Pérez-Quiñones, Srinidhi Varadarajan:
Supporting Out-of-turn Interactions in a Multimodal Web Interface. CoRR cs.IR/0307011 (2003) - [i15]Michael Narayan, Christopher Williams, Saverio Perugini, Naren Ramakrishnan:
Staging Transformations for Multimodal Web Interaction Management. CoRR cs.IR/0311029 (2003) - 2002
- [j16]Jian He, Layne T. Watson, Naren Ramakrishnan
Dynamic Data Structures for a Direct Search Algorithm. Comput. Optim. Appl. 23(1): 5-25 (2002) - [j15]Lenwood S. Heath, Naren Ramakrishnan
The Emerging Landscape of Bioinformatics Software Systems. Computer 35(7): 41-45 (2002) - [j14]Naren Ramakrishnan
Programming environments for multidisciplinary Grid communities. Concurr. Comput. Pract. Exp. 14(13-15): 1241-1273 (2002) - [j13]Elias N. Houstis, Ann Christine Catlin, Nitesh Dhanjani, John R. Rice, Naren Ramakrishnan
MyPYTHIA: a recommendation portal for scientific software and services. Concurr. Comput. Pract. Exp. 14(13-15): 1481-1505 (2002) - [j12]Naren Ramakrishnan
Sampling strategies for mining in data-scarce domains. Comput. Sci. Eng. 4(4): 31-43 (2002) - [c9]Chadwick A. Wingrave, Doug A. Bowman, Naren Ramakrishnan:
Towards Preferences in Virtual Environment Interfaces. EGVE 2002: 63-72 - [c8]Alex Verstak, Jian He, Layne T. Watson, Naren Ramakrishnan
S4W: Globally Optimized Design of Wireless Communications Systems. IPDPS 2002 - [c7]Naren Ramakrishnan
Mixed-initiative interaction = mixed computation. PEPM 2002: 119-130 - [c6]Mehmet Koyutürk, Ananth Grama, Naren Ramakrishnan
Algebraic Techniques for Analysis of Large Discrete-Valued Datasets. PKDD 2002: 311-324 - [i14]Christopher Bailey-Kellogg, Naren Ramakrishnan:
Qualitative Analysis of Correspondence for Experimental Algorithmics. CoRR cs.AI/0204053 (2002) - [i13]Naren Ramakrishnan:
The Traits of the Personable. CoRR cs.AI/0205022 (2002) - [i12]Alex Verstak, Naren Ramakrishnan, Layne T. Watson, Jian He, Clifford A. Shaffer, Kyung Kyoon Bae, Jing Jiang, William H. Tranter, Theodore S. Rappaport:
BSML: A Binding Schema Markup Language for Data Interchange in Problem Solving Environments (PSEs). CoRR cs.CE/0202027 (2002) - [i11]Naren Ramakrishnan, Christopher Bailey-Kellogg:
Sampling Strategies for Mining in Data-Scarce Domains. CoRR cs.CE/0204047 (2002) - [i10]Alex Verstak, Naren Ramakrishnan, Kyung Kyoon Bae, William H. Tranter, Layne T. Watson, Jian He, Clifford A. Shaffer, Theodore S. Rappaport:
Using Hierarchical Data Mining to Characterize Performance of Wireless System Configurations. CoRR cs.CE/0208040 (2002) - [i9]Srinidhi Varadarajan, Joy Mukherjee, Naren Ramakrishnan:
Weaves: A Novel Direct Code Execution Interface for Parallel High Performance Scientific Codes. CoRR cs.DC/0205004 (2002) - [i8]Srinidhi Varadarajan, Naren Ramakrishnan:
Reinforcing Reachable Routes. CoRR cs.NI/0207073 (2002) - 2001
- [j11]Naren Ramakrishnan
Mining scientific data. Adv. Comput. 55: 119-169 (2001) - [j10]Naren Ramakrishnan
Privacy Risks in Recommender Systems. IEEE Internet Comput. 5(6): 54-62 (2001) - [j9]Dow-Yung Yang, Ananth Grama, Vivek Sarin, Naren Ramakrishnan
Compression of particle data from hierarchical approximate methods. ACM Trans. Math. Softw. 27(3): 317-339 (2001) - [c5]Marcos André Gonçalves, Ali A. Zafer, Naren Ramakrishnan, Edward A. Fox:
Modeling and Building Personalized Digital Libraries with PIPE and 5SL. DELOS 2001 - [c4]Christopher Bailey-Kellogg, Naren Ramakrishnan:
Ambiguity-Directed Sampling for Qualitative Analysis of Sparse Data from Spatially-Distributed Physical Systems. IJCAI 2001: 43-50 - [c3]Robert G. Capra III
WebContext: remote access to shared context. PUI 2001: 11:1-11:9 - [i7]Naren Ramakrishnan, Benjamin J. Keller, Batul J. Mirza, Ananth Grama, George Karypis:
When being Weak is Brave: Privacy in Recommender Systems. CoRR cs.CG/0105028 (2001) - [i6]Naren Ramakrishnan, Mary Beth Rosson, John M. Carroll:
Explaining Scenarios for Information Personalization. CoRR cs.HC/0111007 (2001) - [i5]Batul J. Mirza, Benjamin J. Keller, Naren Ramakrishnan:
Evaluating Recommendation Algorithms by Graph Analysis. CoRR cs.IR/0104009 (2001) - [i4]Naren Ramakrishnan, Saverio Perugini:
The Partial Evaluation Approach to Information Personalization. CoRR cs.IR/0108003 (2001) - [i3]Lenwood S. Heath, Naren Ramakrishnan, Ronald R. Sederoff, Ross W. Whetten, Boris I. Chevone, Craig A. Struble, Vincent Y. Jouenne, Dawei Chen, Leonel van Zyl, Ruth G. Alscher:
The Expresso Microarray Experiment Management System: The Functional Genomics of Stress Responses in Loblolly Pine. CoRR cs.OH/0110047 (2001) - [i2]Naren Ramakrishnan, Robert Capra, Manuel A. Pérez-Quiñones:
Mixed-Initiative Interaction = Mixed Computation. CoRR cs.PL/0110022 (2001) - 2000
- [j8]Naren Ramakrishnan
PIPE: Web Personalization by Partial Evaluation. IEEE Internet Comput. 4(6): 21-31 (2000) - [j7]Elias N. Houstis, Ann Christine Catlin, John R. Rice, Vassilios S. Verykios
PYTHIA-II: a knowledge/database system for managing performance data and recommending scientific software. ACM Trans. Math. Softw. 26(2): 227-253 (2000) - [j6]Naren Ramakrishnan
Mining and visualizing recommendation spaces for elliptic PDEs with continuous attributes. ACM Trans. Math. Softw. 26(2): 254-273 (2000) - [j5]Naren Ramakrishnan
Note on generalization in experimental algorithmics. ACM Trans. Math. Softw. 26(4): 568-580 (2000)
1990 – 1999
- 1999
- [j4]Tzvetan T. Drashansky, Elias N. Houstis, Naren Ramakrishnan
Networked Agents for Scientific Computing. Commun. ACM 42(3): 48-54 (1999) - [j3]Naren Ramakrishnan
Data Mining: From Serendipity to Science - Guest Editors' Introduction. Computer 32(8): 34-37 (1999) - [i1]Naren Ramakrishnan:
PIPE: Personalizing Recommendations via Partial Evaluation. CoRR cs.IR/9910015 (1999) - 1998
- [j2]Elias N. Houstis, John R. Rice, Naren Ramakrishnan
Multidisciplinary Problem Solving Environments for Computational Science. Adv. Comput. 46: 401-438 (1998) - [j1]Anupam Joshi
Multiagent System Support of Networked Scientific Computing. IEEE Internet Comput. 2(3): 69-83 (1998) - 1997
- [c2]Naren Ramakrishnan
Neuro-fuzzy approaches to collaborative scientific computing. ICNN 1997: 473-478 - 1996
- [c1]Anupam Joshi, Naren Ramakrishnan, John R. Rice, Elias N. Houstis:
A neuro-fuzzy approach to agglomerative clustering. ICNN 1996: 1028-1033
Coauthor Index
Jaime Arredondo
aka: Jaime Arredondo Sanchez Lira
aka: Jaime Arredondo Sanchez Lira
Chris Bailey-Kellogg
aka: Christopher Bailey-Kellogg
aka: Christopher Bailey-Kellogg
[j131] [j128] [c186] [j126] [c182] [i70] [i65] [c175] [c173] [i58] [j121] [c168] [c167] [c166] [c162] [c158] [c157] [c154] [i53] [i52] [c146] [c142] [j108] [j105] [c136] [c135] [c134] [c128] [i44] [j100] [j99] [j98] [j96] [c125] [c119] [c118] [c117] [c114] [i33] [j94] [j93] [c106] [c104] [c101] [c96] [j90] [j88] [c92] [c88] [c80] [i28] [j77] [c70]
Chris North 0001
aka: Christopher L. North
aka: Christopher L. North
Ratnesh K. Sharma
aka: Ratnesh Sharma
aka: Ratnesh Sharma
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