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Aditya Kumar
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2020 – today
- 2025
- [j13]Aditya Kumar
, Jainath Yadav:
Unveiling the potential of graph coloring in feature set partitioning: A study on high-dimensional datasets. Neurocomputing 614: 128814 (2025) - 2024
- [j12]Subhojit Paul, Kaushika Olymon
MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI. J. Chem. Inf. Model. 64(7): 2705-2719 (2024) - [j11]Aditya Kumar, Jainath Yadav:
Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning. Knowl. Inf. Syst. 66(11): 6785-6813 (2024) - [j10]Anjali Mudgal
Multimodal fusion: advancing medical visual question-answering. Neural Comput. Appl. 36(33): 20949-20962 (2024) - [j9]Aditya Kumar, Satish Narayana Srirama:
FIDEL: Fog integrated federated learning framework to train neural networks. Softw. Pract. Exp. 54(2): 186-207 (2024) - [c32]Gunnar Kudrjavets
The Devil Is in the Command Line: Associating the Compiler Flags With the Binary and Build Metadata. ICSE-SEIP 2024: 134-136 - [c31]Gunnar Kudrjavets
What Do You Mean by Memory? When Engineers Are Lost in the Maze of Complexity. ICSE-SEIP 2024: 405-407 - [c30]Imane Taourarti, Ayesha Choudhary, Vivek Kumar Paswan, Aditya Kumar
Estimating Complexity for Perception-based ADAS in Unstructured Road Environments. IV 2024: 305-310 - [c29]Aditya Kumar
Camera-based Mobility Framework for Visually Impaired Pedestrians in Unstructured Environments. IV 2024: 311-316 - [i11]Farhad Kamarei, Aditya Kumar, Oscar Lopez-Pamies:
The poker-chip experiments of synthetic elastomers. CoRR abs/2402.06785 (2024) - [i10]Aditya Kumar, Satish Narayana Srirama:
Fog enabled distributed training architecture for federated learning. CoRR abs/2402.12906 (2024) - 2023
- [j8]Taihao Han
Predicting Dissolution Kinetics of Tricalcium Silicate Using Deep Learning and Analytical Models. Algorithms 16(1): 7 (2023) - [j7]Aditya Kumar
A review of feature set partitioning methods for multi-view ensemble learning. Inf. Fusion 100: 101959 (2023) - [j6]Hemanth Kari
DeePromClass: Delineator for Eukaryotic Core Promoters Employing Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 802-807 (2023) - [c28]Aditya Kumar, Adi Bhardwaj, Abhishek Singh:
A Review of Data Security in Cloud Computing. ICCCNT 2023: 1-4 - [c27]Aditya Kumar, Simran Jeet Kaur, Neha Sharma:
Covid-19 Detection using chest X-Ray Images. ICCCNT 2023: 1-7 - [c26]Gunnar Kudrjavets
What Warnings Do Engineers Really Fix? The Compiler That Cried Wolf. MSR 2023: 451-452 - [c25]Aditya Kumar
Water-Puddle Segmentation Using Deep Learning in Unstructured Environments. SOLI 2023: 1-6 - [i9]Gunnar Kudrjavets, Aditya Kumar, Jeff Thomas, Ayushi Rastogi:
What Do You Mean by Memory? When Engineers Are Lost in the Maze of Complexity. CoRR abs/2312.13462 (2023) - [i8]Gunnar Kudrjavets, Aditya Kumar, Jeff Thomas, Ayushi Rastogi:
The Devil Is in the Command Line: Associating the Compiler Flags With the Binary and Build Metadata. CoRR abs/2312.13463 (2023) - 2022
- [j5]Lovesh B. Xaxa
Design Aspects and Thermal Characteristics of Single-Sided Linear Induction Motor for Electromagnetic Launch Application. IEEE Access 10: 72239-72252 (2022) - [j4]Gustavo Sganzerla Martinez
Machine learning and statistics shape a novel path in archaeal promoter annotation. BMC Bioinform. 23(1): 171 (2022) - [c24]Bagesh Kumar, Amritansh Mishra, Subham Raj, Aditya Kumar, Om Suhas Vibhandik, Aayush Talesara, Shubham Kumar, O. P. Vyas:
An approach for classifying benign and malignant skin lesions using Optimized Deep Learning and SVM. IC3 2022: 429-439 - [c23]Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
The Unexplored Terrain of Compiler Warnings. ICSE (SEIP) 2022: 283-284 - [c22]Gunnar Kudrjavets
There Ain't No Such Thing as a Free Custom Memory Allocator. ICSME 2022: 578-581 - [c21]Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
When malloc() Never Returns NULL - Reliability as an Illusion. ISSRE Workshops 2022: 31-36 - [c20]Gunnar Kudrjavets
Quantifying Daily Evolution of Mobile Software Based on Memory Allocator Churn. MOBILESoft 2022: 28-32 - [c19]Gunnar Kudrjavets
Mining Code Review Data to Understand Waiting Times Between Acceptance and Merging: An Empirical Analysis. MSR 2022: 579-590 - [c18]Aditya Kumar, Sneh Gupta, Ankit Sahu, Mayank Kant:
Deriving Customer Experience Implicitly from Social Media. WWW (Companion Volume) 2022: 131-135 - [i7]Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
The Unexplored Terrain of Compiler Warnings. CoRR abs/2201.10599 (2022) - [i6]Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
Quantifying Daily Evolution of Mobile Software Based on Memory Allocator Churn. CoRR abs/2203.04394 (2022) - [i5]Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
Mining Code Review Data to Understand Waiting Times Between Acceptance and Merging: An Empirical Analysis. CoRR abs/2203.05048 (2022) - [i4]Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
There Ain't No Such Thing as a Free Custom Memory Allocator. CoRR abs/2206.11728 (2022) - [i3]Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
When malloc() Never Returns NULL - Reliability as an Illusion. CoRR abs/2208.08484 (2022) - 2021
- [j3]Chayanika Chaliha, V. Chandra Kaladhar, Robin Doley, Praveen Kumar Verma
Bipartite molecular approach for species delimitation and resolving cryptic speciation of Exobasidium vexans within the Exobasidium genus. Comput. Biol. Chem. 92: 107496 (2021) - [c17]Aditya Kumar, Satish Narayana Srirama:
Fog Enabled Distributed Training Architecture for Federated Learning. BDA 2021: 78-92 - [c16]Ovia Seshadri, Vinay J. Ribeiro, Aditya Kumar:
Securely Boosting Chain Growth and Confirmation Speed in PoW Blockchains. Blockchain 2021: 140-149 - [c15]Aditya Kumar, Reza Ghaemi:
Distributed State Estimation for Distribution Grid with Sparse Measurements. CDC 2021: 5673-5680 - [i2]Ayushe Gangal, Peeyush Kumar, Sunita Kumari, Aditya Kumar:
Neural Computing. CoRR abs/2107.02744 (2021) - 2020
- [c14]Reza Ghaemi, Aditya Kumar, Pierino Bonanni, Nikita Visnevski:
Scalable Optimal Flexibility Control, modeling and estimation of commercial buildings. ACC 2020: 2318-2325 - [c13]Jette Henderson, Shubham Sharma, Alan H. Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh:
Certifai: A Toolkit for Building Trust in AI Systems. IJCAI 2020: 5249-5251 - [c12]Ronak Gupta
Data Adaptive Compressed Sensing using deep neural network for Image recognition. NCC 2020: 1-5 - [c11]Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Balasubramanyan Ashok, Sumit Asthana, Christian Bird, Aditya Kumar:
Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis. NSDI 2020: 435-448
2010 – 2019
- 2019
- [i1]Evandro Menezes, Sebastian Pop, Aditya Kumar:
Clustering case statements for indirect branch predictors. CoRR abs/1910.02351 (2019) - 2017
- [c10]Aditya Kumar, Atman Patel, Santosha K. Dwivedy:
Development of a NAO Humanoid based Medical Assistant. AIR 2017: 35:1-35:6 - [c9]Priya Chandran
Multikernel Simulation: A New Approach to Study Rollback Sensitive Memory Architecture. CIC 2017: 437-442 - 2014
- [c8]Chandan Tripathi, Aditya Kumar, Punit Mittal
Face Recognition Using MPCA-EMFDA Based Features Under Illumination and Expression Variations in Effect of Different Classifiers. SIRS 2014: 45-55 - 2013
- [j2]Rodrigo López-Negrete
Fast nonlinear model predictive control: Formulation and industrial process applications. Comput. Chem. Eng. 51: 55-64 (2013) - [c7]Aditya Kumar, Ahmed Gheith, Michael Kistler:
Experiences with Dynamic Binary Translation in a Full System Simulator. IPDPS Workshops 2013: 2168-2175 - 2012
- [c6]Gayathri Seenumani, Dan Dai, Rodrigo López-Negrete, Aditya Kumar, Mustafa Dokucu, Rajeeva Kumar:
An Outer-Approximation based algorithm for solving integer non-linear programming problems for Optimal Sensor Placement. CDC 2012: 4455-4461 - [c5]Aditya Kumar, Andrew Sutton, Bjarne Stroustrup:
Rejuvenating C++ programs through demacrofication. ICSM 2012: 98-107 - [c4]Aditya Kumar, Andrew Sutton, Bjarne Stroustrup:
The demacrofier. ICSM 2012: 658-661
2000 – 2009
- 2007
- [c3]Daniel E. Viassolo, Shreeder Adibhatla, Brent J. Brunell, John H. Down, Nathan S. Gibson, Aditya Kumar, H. Kirk Mathews, Lisa D. Holcomb:
Advanced Estimation for Aircraft Engines. ACC 2007: 2807-2821 - 2004
- [c2]Jason M. Daida, Michael E. Samples, Bryan T. Hart, Jeffry Halim, Aditya Kumar:
Demonstrating constraints to diversity with a tunably difficult problem for genetic programming. IEEE Congress on Evolutionary Computation 2004: 1217-1224 - 2003
- [c1]Aditya Kumar, S. Alper Eker, Paul K. Houpt:
A model based approach for estimation and control for polymer compounding (April 2003). CCA 2003: 729-735
1990 – 1999
- 1996
- [j1]Aditya Kumar, Prodromos Daoutidis:
State-space realizations of linear differential-algebraic-equation systems with control-dependent state space. IEEE Trans. Autom. Control. 41(2): 269-274 (1996)
Coauthor Index
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last updated on 2024-12-23 19:31 CET by the dblp team
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