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Koji Zettsu
Koiji Zettsu
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2020 – today
- 2024
- [j17]Pamalla Veena
, Rage Uday Kiran
3P-ECLAT: mining partial periodic patterns in columnar temporal databases. Appl. Intell. 54(11-12): 657-679 (2024) - [c148]Sadanori Ito
Enhancing Smart Service Development: Embedding Image Recognition Capabilities within the xDataAPI. ICDAR@ICMR 2024: 5-10 - [c147]Minh-Son Dao
Near-Miss Accident Prediction on the Edge: A Real-Time System for Safer Driving. ICMR 2024: 1165-1169 - [c146]Wenbin Gan
Drive-CLIP: Cross-Modal Contrastive Safety-Critical Driving Scenario Representation Learning and Zero-Shot Driving Risk Analysis. MMM (2) 2024: 82-97 - [c145]Tran Anh Khoa, Minh-Son Dao, Do-Van Nguyen, Koji Zettsu:
Clustering-Enhanced Reinforcement Learning for Adaptive Offloading in Resource-Constrained Devices. SMARTCOMP 2024: 133-140 - 2023
- [j16]Pamalla Veena
Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements. IEEE Access 11: 118676-118688 (2023) - [j15]Rage Uday Kiran
HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases. Appl. Intell. 53(8): 8536-8561 (2023) - [j14]Pamalla Veena
A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases. Appl. Intell. 53(22): 27344-27373 (2023) - [c144]Minh-Son Dao, Muhamad Hilmil Muchtar Aditya Pradana, Koji Zettsu:
MM-TrafficRisk: A Video-based Fleet Management Application for Traffic Risk Prediction, Prevention, and Querying. IEEE Big Data 2023: 1697-1706 - [c143]Minh-Son Dao, Huy Quang Ung, Sadanori Ito
Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform. IEEE Big Data 2023: 1903-1907 - [c142]Pamalla Veena, Palla Likhitha, R. Uday Kiran, José María Luna, Philippe Fournier-Viger, Koji Zettsu:
Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series. FUZZ 2023: 1-7 - [c141]Wenbin Gan
Procedural Driving Skill Coaching from More Skilled Drivers to Safer Drivers: A Survey. ICDAR@ICMR 2023: 10-18 - [c140]Minh-Son Dao, Koji Zettsu:
Leveraging Knowledge Graphs for CheapFakes Detection: Beyond Dataset Evaluation. ICME Workshops 2023: 99-104 - [c139]Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu:
AOP: Towards Adaptive Offloading Point Approach in a Federated Learning Framework for Edge AI Applications. ICPADS 2023: 2846-2847 - [c138]Palla Likhitha
Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases. PAKDD (3) 2023: 29-41 - [i3]Hilmil Pradana, Minh-Son Dao, Koji Zettsu:
Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style Translation. CoRR abs/2301.02726 (2023) - 2022
- [c137]Penugonda Ravikumar
Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases. ACIIDS (2) 2022: 141-154 - [c136]Wenbin Gan
An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios. IEEE Big Data 2022: 1822-1829 - [c135]Do-Van Nguyen, Anh-Khoa Tran
FedProb: An Aggregation Method Based on Feature Probability Distribution for Federated Learning on Non-IID Data. IEEE Big Data 2022: 2875-2881 - [c134]Wenbin Gan
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs. IEEE Big Data 2022: 4356-4364 - [c133]Tran Anh Khoa
splitDyn: Federated Split Neural Network for Distributed Edge AI Applications. IEEE Big Data 2022: 6066-6073 - [c132]R. Uday Kiran
A Novel Null-Invariant Temporal Measure to Discover Partial Periodic Patterns in Non-uniform Temporal Databases. DASFAA (1) 2022: 569-577 - [c131]Pamalla Veena, Sreepada Tarun, R. Uday Kiran, Minh-Son Dao, Koji Zettsu, Yutaka Watanobe, Ji Zhang:
Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements. DEXA (2) 2022: 204-215 - [c130]Penugonda Ravikumar, R. Uday Kiran, Palla Likhitha, T. Chandrasekhar, Yutaka Watanobe, Koji Zettsu:
Discovering Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases. DSAA 2022: 1-10 - [c129]Pamalla Veena, Penugonda Ravikumar, Kundai Kwangwari, R. Uday Kiran, Kazuo Goda, Yutaka Watanobe, Koji Zettsu:
Discovering Fuzzy Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases. FUZZ-IEEE 2022: 1-8 - [c128]Palla Likhitha, Rage Veena, Rage Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger:
UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases. ICONIP (5) 2022: 182-194 - [c127]Kazuki Tejima
MM-AQI: A Novel Framework to Understand the Associations Between Urban Traffic, Visual Pollution, and Air Pollution. IEA/AIE 2022: 597-608 - [c126]Wenbin Gan
IoT-based Multimodal Analysis for Smart Education: Current Status, Challenges and Opportunities. ICDAR@ICMR 2022: 32-40 - [c125]Rafik Hamza, Minh-Son Dao, Sadanori Ito
Towards Intellectual Property Rights Protection in Big Data. ICDAR@ICMR 2022: 50-57 - [c124]Tran Anh Khoa
FedMCRNN: Federated Learning using Multiple Convolutional Recurrent Neural Networks for Sleep Quality Prediction. ICDAR@ICMR 2022: 63-69 - [i2]Wenbin Gan
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs. CoRR abs/2211.12778 (2022) - [i1]Wenbin Gan
An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios. CoRR abs/2211.12798 (2022) - 2021
- [c123]Palla Likhitha, Pamalla Veena, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu:
Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases. IEEE BigData 2021: 1460-1469 - [c122]Tuan-Vinh La, Minh-Son Dao, Kazuki Tejima, Rage Uday Kiran, Koji Zettsu:
Improving the Awareness of Sustainable Smart Cities by Analyzing Lifelog Images and IoT Air Pollution Data. IEEE BigData 2021: 3589-3594 - [c121]Do Van Nguyen, Koji Zettsu:
Spatially-distributed Federated Learning of Convolutional Recurrent Neural Networks for Air Pollution Prediction. IEEE BigData 2021: 3601-3608 - [c120]Minh-Son Dao, Dinh-Duy Pham, Manh-Phu Nguyen, Thanh-Binh Nguyen, Koji Zettsu:
MM-trafficEvent: An Interactive Incident Retrieval System for First-view Travel-log Data. IEEE BigData 2021: 4842-4851 - [c119]Pradeep Pallikila, Pamalla Veena, R. Uday Kiran, Ram Avatar, Sadanori Ito
Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases. IEEE BigData 2021: 4925-4935 - [c118]Tran Anh Khoa
Fed xData: A Federated Learning Framework for Enabling Contextual Health Monitoring in a Cloud-Edge Network. IEEE BigData 2021: 4979-4988 - [c117]So Nakamura, R. Uday Kiran, Palla Likhitha, Penugonda Ravikumar, Yutaka Watanobe, Minh-Son Dao, Koji Zettsu, Masashi Toyoda:
Efficient Discovery of Partial Periodic-Frequent Patterns in Temporal Databases. DEXA (1) 2021: 221-227 - [c116]Pamalla Veena, Sai Chithra Bommisetty, R. Uday Kiran, Sonali Agarwal, Koji Zettsu:
Discovering Fuzzy Frequent Spatial Patterns in Large Quantitative Spatiotemporal databases. FUZZ-IEEE 2021: 1-8 - [c115]R. Uday Kiran, Palla Likhitha, Minh-Son Dao, Koji Zettsu, Ji Zhang:
Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases. ICONIP (5) 2021: 710-718 - [c114]Penugonda Ravikumar, Likhitha Palla, Rage Uday Kiran, Yutaka Watanobe, Koji Zettsu:
Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases. IEA/AIE (1) 2021: 28-40 - [c113]Sai Chithra Bommisetty, Penugonda Ravikumar, Rage Uday Kiran, Minh-Son Dao, Koji Zettsu:
Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases. IEA/AIE (1) 2021: 53-65 - [c112]Minh-Son Dao, Koji Zettsu, Rage Uday Kiran:
IMAGE-2-AQI: Aware of the Surrounding Air Qualification by a Few Images. IEA/AIE (2) 2021: 335-346 - [c111]Pamalla Veena, So Nakamura, Palla Likhitha, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu:
A Unified Framework to Discover Partial Periodic-Frequent Patterns in Row and Columnar Temporal Databases. ICDM (Workshops) 2021: 607-614 - [c110]Thi Phuoc Van Nguyen, Do Van Nguyen, Koji Zettsu:
Models to Predict Sleeping Quality from Activities and Environment: Current Status, Challenges and Opportunities. ICDAR@ICMR 2021: 52-56 - [c109]Rafik Hamza
Investigation on Privacy-Preserving Techniques For Personal Data. ICDAR@ICMR 2021: 62-66 - 2020
- [j13]R. Uday Kiran
Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal Databases. IEEE Access 8: 27584-27596 (2020) - [j12]Trong-Dat Phan, Minh-Son Dao, Koji Zettsu:
Lifelog Moment Retrieval With Interactive Watershed-Based Clustering and Hierarchical Similarity Search. Int. J. Multim. Data Eng. Manag. 11(2): 31-48 (2020) - [c108]Minh-Son Dao, Ngoc-Thanh Nguyen, R. Uday Kiran, Koji Zettsu:
Fusion-3DCNN-max3P: A dynamic system for discovering patterns of predicted congestion. IEEE BigData 2020: 910-915 - [c107]Peijiang Zhao, Koji Zettsu:
MASTGN: Multi-Attention Spatio-Temporal Graph Networks for Air Pollution Prediction. IEEE BigData 2020: 1442-1448 - [c106]Ryotaro Tsukada, Haosen Zhan, Shonosuke Ishiwatari, Masashi Toyoda, Kazutoshi Umemoto, Haichuan Shang, Koji Zettsu:
Crowd Forecasting at Venues with Microblog Posts Referring to Future Events. IEEE BigData 2020: 3147-3155 - [c105]Palla Likhitha, Penugonda Ravikumar
Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases. IEEE BigData 2020: 4700-4709 - [c104]R. Uday Kiran, Sadanori Ito
Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture. IEEE BigData 2020: 4724-4733 - [c103]Anh-Vu Mai-Nguyen, Van-Luon Tran, Minh-Son Dao, Koji Zettsu:
Leverage the Predictive Power Score of Lifelog Data's Attributes to Predict the Expected Athlete Performance. CLEF (Working Notes) 2020 - [c102]Van-Luon Tran, Trong-Dat Phan, Anh-Vu Mai-Nguyen, Anh-Khoa Vo, Minh-Son Dao, Koji Zettsu:
An Interactive Atomic-cluster Watershed-based System for Lifelog Moment Retrieval. CLEF (Working Notes) 2020 - [c101]Ngoc-Thanh Nguyen, Minh-Son Dao, Koji Zettsu:
Leveraging 3D-Raster-Images and DeepCNN with Multi-source Urban Sensing Data for Traffic Congestion Prediction. DEXA (2) 2020: 396-406 - [c100]R. Uday Kiran, Yutaka Watanobe, Bhaskar Chaudhury
Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases. DSAA 2020: 11-20 - [c99]R. Uday Kiran, C. Saideep, Penugonda Ravikumar
Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases. FUZZ-IEEE 2020: 1-8 - [c98]R. Uday Kiran, Sourabh Shrivastava, Philippe Fournier-Viger, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa:
Discovering Frequent Spatial Patterns in Very Large Spatiotemporal Databases. SIGSPATIAL/GIS 2020: 445-448 - [c97]Koji Zettsu:
From Data Collection Merit to Data Connection Merit for Smart Sustainable Cities. ICDAR@ICMR 2020: 1-2 - [c96]Minh-Son Dao, Ngoc-Thanh Nguyen, R. Uday Kiran, Koji Zettsu:
Insights From Urban Sensing Data: From Chaos to Predicted Congestion Patterns. ICDM (Workshops) 2020: 661-668 - [c95]C. Saideep, R. Uday Kiran, Koji Zettsu, Cheng-Wei Wu, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa:
Parallel Mining of Partial Periodic Itemsets in Big Data. IEA/AIE 2020: 807-819 - [c94]Anh-Vu Mai-Nguyen
BIDAL-HCMUS@LSC2020: An Interactive Multimodal Lifelog Retrieval with Query-to-Sample Attention-based Search Engine. LSC@ICMR 2020: 43-49 - [c93]Van-Luon Tran, Anh-Vu Mai-Nguyen
An Interactive Multimodal Retrieval System for Memory Assistant and Life Organized Support. ICMR 2020: 416-420
2010 – 2019
- 2019
- [c92]Koji Zettsu:
Transforming Sensing Data into Smart Data for Smart Sustainable Cities. BDA 2019: 3-19 - [c91]P. P. C. Reddy, R. Uday Kiran, Koji Zettsu, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases. BDA 2019: 287-306 - [c90]R. Uday Kiran, C. Saideep, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases. IEEE BigData 2019: 233-238 - [c89]Ngoc-Thanh Nguyen, Minh-Son Dao, Koji Zettsu:
Complex Event Analysis for Traffic Risk Prediction based on 3D-CNN with Multi-sources Urban Sensing Data. IEEE BigData 2019: 1669-1674 - [c88]Minh-Son Dao, Ngoc-Thanh Nguyen, Koji Zettsu:
Multi-time-horizon Traffic Risk Prediction using Spatio-Temporal Urban Sensing Data Fusion. IEEE BigData 2019: 2205-2214 - [c87]Phuong-Binh Vo
Association Model between Visual Feature and AQI Rank Using Lifelog Data. IEEE BigData 2019: 4197-4200 - [c86]Peijiang Zhao, Koji Zettsu:
Decoder Transfer Learning for Predicting Personal Exposure to Air Pollution. IEEE BigData 2019: 5620-5629 - [c85]Trong-Dat Phan, Minh-Son Dao, Koji Zettsu:
An Interactive Watershed-Based Approach for Lifelog Moment Retrieval. BigMM 2019: 282-286 - [c84]Anh-Khoa Vo, Minh-Son Dao, Koji Zettsu:
From Chaos to Order: The Role of Content and Context of Daily Activities in Rearranging Lifelogs Data. BigMM 2019: 292-296 - [c83]Minh-Son Dao, Anh-Khoa Vo, Trong-Dat Phan, Koji Zettsu:
BIDAL@imageCLEFlifelog2019: The Role of Content and Context of Daily Activities in Insights from Lifelogs. CLEF (Working Notes) 2019 - [c82]Rage Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases. ICDM Workshops 2019: 987-996 - [c81]C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger
Discovering Periodic Patterns in Irregular Time Series. ICDM Workshops 2019: 1020-1028 - [c80]Ko Ko Lwin, Yoshihide Sekimoto, Wataru Takeuchi, Koji Zettsu:
City Geospatial Dashboard: IoT and Big Data Analytics for Geospatial Solutions Provider in Disaster Management. ICT-DM 2019: 1-4 - [c79]Minh-Son Dao, Peijiang Zhao, Tomohiro Sato, Koji Zettsu, Duc-Tien Dang-Nguyen, Cathal Gurrin, Ngoc-Thanh Nguyen:
Overview of MediaEval 2019: Insights for Wellbeing TaskMultimodal Personal Health Lifelog Data Analysis. MediaEval 2019 - [c78]Sadanori Ito, Koji Zettsu:
Report on a Hackathon for Car Navigation Using Traffic Risk Data. MLMI 2019: 47-51 - [c77]Tomohiro Sato, Minh-Son Dao, Kota Kuribayashi, Koji Zettsu:
SEPHLA: Challenges and Opportunities Within Environment - Personal Health Archives. MMM (1) 2019: 325-337 - [c76]R. Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger
Discovering Spatial High Utility Itemsets in Spatiotemporal Databases. SSDBM 2019: 49-60 - 2018
- [c75]Minh-Son Dao, Koji Zettsu:
A Raster-Image-Based Approach for Understanding Associations of Urban Sensing Data. AIKE 2018: 134-137 - [c74]Minh-Son Dao, Koji Zettsu:
Complex Event Analysis of Urban Environmental Data based on Deep CNN of Spatiotemporal Raster Images. IEEE BigData 2018: 2160-2169 - [c73]Peijiang Zhao, Koji Zettsu:
Convolution Recurrent Neural Networks for Short-Term Prediction of Atmospheric Sensing Data. iThings/GreenCom/CPSCom/SmartData 2018: 815-821 - 2017
- [c72]Hung Tran-The, Koji Zettsu:
Discovering co-occurrence patterns of heterogeneous events from unevenly-distributed spatiotemporal data. IEEE BigData 2017: 1006-1011 - [c71]Hung Tran-The, Koji Zettsu:
Finding Spatiotemporal Co-occurrence Patterns of Heterogeneous Events for Prediction. EM-GIS 2017: 9:1-9:8 - 2016
- [j11]Ko Ko Lwin, Komei Sugiura, Koji Zettsu:
Space-time multiple regression model for grid-based population estimation in urban areas. Int. J. Geogr. Inf. Sci. 30(8): 1579-1593 (2016) - [j10]Sulayman K. Sowe, Eric Simmon, Koji Zettsu, Frederic J. de Vaulx, Irena Bojanova:
Cyber-Physical-Human Systems: Putting People in the Loop. IT Prof. 18(1): 10-13 (2016) - [j9]Bun Theang Ong, Komei Sugiura, Koji Zettsu:
Dynamically pre-trained deep recurrent neural networks using environmental monitoring data for predicting PM2.5. Neural Comput. Appl. 27(6): 1553-1566 (2016) - [c70]Marco Mesiti, Luca Ferrari, Stefano Valtolina, Giacomo Licari, Gian Luca Galliani, Minh-Son Dao, Koji Zettsu:
streamLoader: An Event-Driven ETL System for the On-line Processing of Heterogeneous Sensor Data. EDBT 2016: 628-631 - [c69]Komei Sugiura, Koji Zettsu:
Analysis of Long-Term and Large-Scale Experiments on Robot Dialogues Using a Cloud Robotics Platform. HRI 2016: 525-526 - 2015
- [j8]Eric Simmon, Sulayman K. Sowe, Koji Zettsu:
Designing a Cyber-Physical Cloud Computing Architecture. IT Prof. 17(3): 40-45 (2015) - [c68]Minh-Son Dao, Koji Zettsu:
Discovering Environmental Impacts on Public Health Using Heterogeneous Big Sensory Data. BigData Congress 2015: 741-744 - [c67]Shin'ichi Takeuchi, Komei Sugiura, Yuhei Akahoshi, Koji Zettsu:
Constrained region selection method based on configuration space for visualization in scientific dataset search. IEEE BigData 2015: 2191-2200 - [c66]Minh-Son Dao, Koji Zettsu, Siripen Pongpaichet, Laleh Jalali, Ramesh C. Jain:
Exploring spatio-temporal-theme correlation between physical and social streaming data for event detection and pattern interpretation from heterogeneous sensors. IEEE BigData 2015: 2690-2699 - [c65]Sulayman K. Sowe, Koji Zettsu:
Human Factors in Cyber-Physical Social Systems: Leveraging Social Sensor Data. EJC 2015: 157-165 - [c64]Laleh Jalali, Minh-Son Dao, Ramesh C. Jain, Koiji Zettsu:
Complex asthma risk factor recognition from heterogeneous data streams. ICME Workshops 2015: 1-6 - [c63]Ko Ko Lwin, Koji Zettsu, Komei Sugiura:
Geovisualization and correlation analysis between geotagged Twitter and JMA rainfall data: Case of heavy rain disaster in Hiroshima. ICSDM 2015: 71-76 - [c62]Komei Sugiura, Koji Zettsu:
Rospeex: A cloud robotics platform for human-robot spoken dialogues. IROS 2015: 6155-6160 - [c61]Stefano Valtolina, Marco Mesiti, Luca Ferrari, Koji Zettsu, Minh-Son Dao:
User-Centered Event Data Modelling and Analytics. CoPDA@IS-EUD 2015: 52-58 - [c60]Sulayman K. Sowe, Koji Zettsu:
Towards an Open Data Development Model for Linking Heterogeneous Data Sources. KSE 2015: 344-347 - [c59]Minh-Son Dao, Koji Zettsu:
Automatic Labeling Streaming Data for Event Detection from Heterogeneous Sensors. KSE 2015: 365-370 - [c58]Marco Mesiti, Stefano Valtolina, Luca Ferrari, Minh-Son Dao, Koji Zettsu:
An editable live ETL system for Ambient Intelligence environments. WF-IoT 2015: 393-394 - 2014
- [j7]Sulayman K. Sowe, Koji Zettsu:
Curating Big Data Made Simple: Perspectives from Scientific Communities. Big Data 2(1): 23-33 (2014) - [j6]Mianxiong Dong
Quality-of-Experience (QoE) in Emerging Mobile Social Networks. IEICE Trans. Inf. Syst. 97-D(10): 2606-2612 (2014) - [j5]Guillermo Horacio Ramirez Caceres, Koji Zettsu:
Provenance-Based Security Risk Assessment Framework. J. Inf. Process. 22(4): 617-625 (2014) - [c57]Shin'ichi Takeuchi, Yuhei Akahoshi, Bun Theang Ong, Komei Sugiura, Koji Zettsu:
Spatio-temporal Pseudo Relevance Feedback for Large-Scale and Heterogeneous Scientific Repositories. BigData Congress 2014: 669-676 - [c56]Bun Theang Ong, Komei Sugiura, Koji Zettsu:
Dynamic pre-training of Deep Recurrent Neural Networks for predicting environmental monitoring data. IEEE BigData 2014: 760-765 - [c55]Sulayman K. Sowe, Takashi Kimata, Mianxiong Dong
Managing Heterogeneous Sensor Data on a Big Data Platform: IoT Services for Data-Intensive Science. COMPSAC Workshops 2014: 295-300 - [c54]Minh-Son Dao, Siripen Pongpaichet, Laleh Jalali, Kyoung-Sook Kim
A Real-time Complex Event Discovery Platform for Cyber-Physical-Social Systems. ICMR 2014: 201 - [c53]Mianxiong Dong, Takashi Kimata, Koji Zettsu:
Service-Controlled Networking: Dynamic In-Network Data Fusion for Heterogeneous Sensor Networks. SRDS Workshops 2014: 94-99 - 2013
- [j4]Rong Zhang, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki, Aoying Zhou:
Context-sensitive Web service discovery over the bipartite graph model. Frontiers Comput. Sci. 7(6): 875-893 (2013) - [j3]Koji Zettsu:
Foreword. IEICE Trans. Inf. Syst. 96-D(5): 1005 (2013) - [c52]Eloy Gonzales, Bun Theang Ong, Koji Zettsu:
Searching inter-disciplinary scientific big data based on latent correlation analysis. IEEE BigData 2013: 9-12 - [c51]Sulayman K. Sowe
The Architecture and Design of a Community-Based Cloud Platform for Curating Big Data. CyberC 2013: 171-178 - [c50]Sulayman K. Sowe, Koji Zettsu, Yohei Murakami:
A model for creating and sustaining information services platform communities: Lessons learnt from open source software. Kaleidoscope 2013: 1-8 - [c49]Komei Sugiura, Ryong Lee, Hideki Kashioka, Koji Zettsu, Yutaka Kidawara:
Utterance Classification Using Linguistic and Non-linguistic Information for Network-Based Speech-to-Speech Translation Systems. MDM (2) 2013: 212-216 - [c48]Ryong Lee, Kyoung-Sook Kim
Complementary Integration of Heterogeneous Crowd-Sourced Datasets for Enhanced Social Analytics. MDM (2) 2013: 234-243 - [c47]Sulayman K. Sowe
Collaborative development of data curation profiles on a wiki platform: experience from free and open source software projects and communities. OpenSym 2013: 16:1-16:8 - 2012
- [c46]Yohei Murakami
Data-Centered Service Composition for Information Analysis. IEEE SCC 2012: 602-608 - [c45]Masahiro Tanaka, Yohei Murakami
Data-Intensive Services for Large-Scale Archive Access. IEEE SCC 2012: 617-624 - [c44]Rong Zhang, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki:
Web Service Ranking Based on Context. CGC 2012: 375-382 - [c43]Arif Bramantoro
Towards Service Atomization for Analyzing Information. ICWS 2012: 676-677 - 2011
- [j2]Takafumi Nakanishi
Interconnection of heterogeneous knowledge bases and its application on Knowledge Grid. Concurr. Comput. Pract. Exp. 23(9): 940-955 (2011) - [c42]Rong Zhang, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki:
Context-Sensitive Query Expansion over the Bipartite Graph Model for Web Service Search. DASFAA (1) 2011: 418-433 - [c41]Yuhei Akahoshi, Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka:
Structural Approach to Service Composition Based on Relational Model. EJC 2011: 130-148 - [c40]Kyoung-Sook Kim
mTrend: discovery of topic movements on geo-microblogging messages. GIS 2011: 529-532 - 2010
- [c39]Kyoung-Sook Kim
StickViz: A New Visualization Tool for Phenomenon-Based k-Neighbors Searches in Geosocial Networking Services. APWeb 2010: 22-28 - [c38]Kyoung-Sook Kim
Phenomena-Based Management of Geotime-Tagged Contents on the Web. DBKDA 2010: 173-178 - [c37]Takafumi Nakanishi
A Three-layered Architecture for Event-centric Interconnections among Heterogeneous Data Repositories and its Application to Space Weather. EJC 2010: 21-36 - [c36]Kyoung-Sook Kim
A Phenomena-of-Interest Approach for the Interconnection of Sensor Data and Spatiotemporal Web Contents. EJC 2010: 288-300 - [c35]Koji Zettsu, Bernhard Thalheim, Yutaka Kidawara, Elina Karttunen, Hannu Jaakkola
Future Directions of Knowledge Systems Environments for Web 3.0. EJC 2010: 413-446 - [c34]Yuhei Akahoshi, Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka:
A relation-based services management mechanism for service computing. IUCS 2010: 32-39 - [c33]Rong Zhang, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki:
Exploiting Service Context for Web Service Search Engine. WAIM 2010: 363-375
2000 – 2009
- 2009
- [c32]Takafumi Nakanishi
A Context Dependent Dynamic Interconnection Method of Heterogeneous Knowledge Bases by Interrelation Management Function. EJC 2009: 208-225 - [c31]Yutaka Kidawara, Koji Zettsu, Yasushi Kiyoki, Kai Jannaschk, Bernhard Thalheim, Petri Linna, Hannu Jaakkola
Knowledge Modeling, Management and Utilization towards Next Generation Web. EJC 2009: 387-402 - [c30]Takafumi Nakanishi
SAVVY: A Semantic Associative Browsing System for Heterogeneous Knowledge Resources. HICSS 2009: 1-10 - [c29]Rong Zhang, Koji Zettsu, Takafumi Nakanishi
SOBEX: distributed service Search engine that exploits service cOllaBoration contEXt. IUCS 2009: 261-268 - [c28]Koji Zettsu, Kyoung-Sook Kim
Towards moving phenomena data management. IUCS 2009: 269-272 - [c27]Kyoung-Sook Kim
Sticker: Searching and Aggregating User-Generated Contents along with Trajectories of Moving Phenomena. Mobile Data Management 2009: 365-366 - [c26]Rong Zhang, Koji Zettsu, Takafumi Nakanishi, Yutaka Kidawara, Yasushi Kiyoki:
Context-Based Web Service Clustering. SKG 2009: 192-199 - [c25]Kyoung-Sook Kim
Moving Phenomenon: Aggregation and Analysis of Geotime-Tagged Contents on the Web. W2GIS 2009: 7-24 - [c24]Takafumi Nakanishi
SAVVY Wiki: a context-oriented collaborative knowledge management system. Int. Sym. Wikis 2009 - 2008
- [j1]Rong Zhang, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki:
Decentralized architecture for resource management of group-based distributed systems. Frontiers Comput. Sci. China 2(3): 224-233 (2008) - [c23]Hannu Jaakkola
Information Modelling and Global Risk Management Systems. EJC 2008: 429-445 - [c22]Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki:
A Vector Space Model on Hierarchical Structures with Dynamic Mapping Operator Creation. Web Intelligence/IAT Workshops 2008: 45-49 - [c21]Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki:
Dynamic Cross-domain Link Creation for Interconnection of Heterogeneous Knowledge Bases. ISUC 2008: 374-381 - [c20]Hideki Kashioka, Susumu Akamine, Takafumi Nakanishi
Spoken Dialog System for Next Generation Knowledge Access. MDM 2008: 225-226 - [c19]Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki:
Approaching the Interconnection of Heterogeneous Knowledge Bases on a Knowledge Grid. SKG 2008: 71-78 - [c18]Michiaki Iwazume, Ken Kaneiwa, Koji Zettsu, Takafumi Nakanishi
KC3 browser: semantic mash-up and link-free browsing. WWW 2008: 1209-1210 - 2007
- [c17]Koji Zettsu, Takafumi Nakanishi, Michiaki Iwazume, Yutaka Kidawara, Yasushi Kiyoki:
Knowledge Cluster Systems for Knowledge Sharing, Analysis and Delivery among Remote Sites. EJC 2007: 282-289 - 2006
- [c16]Koji Zettsu, Katsumi Tanaka:
Reconfigurable Search Engine for Exploiting Search Knowledge. C5 2006: 16-25 - [c15]Koji Zettsu, Yasushi Kiyoki:
Towards Knowledge Management Based on Harnessing Collective Intelligence on the Web. EKAW 2006: 350-357 - [c14]Shumian He, Yukiko Kawai, Yutaka Kidawara, Koji Zettsu, Katsumi Tanaka:
u-Cam: A User-Driven Control Mechanism for Ubiquitous Cameras and Its Content Management. MDM 2006: 19 - [c13]Shumian He, Yukiko Kawai, Koji Zettsu, Katsumi Tanaka:
u-Cam: Ubiquitous Camera in Real World with User-Driven Control. MDM 2006: 45 - 2005
- [c12]Shinsuke Nakajima, Koji Zettsu:
ImageAspect Finder/Difference-Amplifier: Focusing on Peripheral Information for Image Search and Browsing. APWeb 2005: 1070-1074 - [c11]Koji Zettsu, Katsumi Tanaka:
Referential Context Mining: Discovering Viewpoints from the Web. Web Intelligence 2005: 321-325 - 2004
- [c10]Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka:
Aspect Discovery: Web Contents Characterization by Their Referential Contexts. APWeb 2004: 738-743 - [c9]Yutaka Kidawara, Koji Zettsu:
Operating Mechanism for Device Cooperative Content on Ubiquitous Network. C5 2004: 54-61 - [c8]Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka:
Discovering Aspects of Web Pages from Their Referential Contexts in the Web. DASFAA 2004: 618-629 - [c7]Yutaka Kidawara, Koji Zettsu, Tomoyuki Uchiyama, Katsumi Tanaka:
Device Cooperative Web Browsing and Retrieving Mechanism on Ubiquitous Networks. DEXA 2004: 874-883 - [c6]Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka:
Guiding Web Search by Third-party Viewpoints: Browsing Retrieval Results by Referential Contexts in Web. DEXA 2004: 894-903 - [c5]Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka:
Discovering aspect-based correlation of Web contents for cross-media information retrieval. ICME 2004: 1015-1018 - [c4]Yutaka Kidawara, Koji Zettsu:
WebBoard: a new display and browsing concept for Web content in public areas. ICME 2004: 1763-1766 - 2003
- [c3]Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka:
Image Retrieval by Web Context: Filling the Gap between Image Keywords and Usage Keywords. DEXA 2003: 579-588
1990 – 1999
- 1998
- [c2]Koji Zettsu, Kuniaki Uehara, Katsumi Tanaka:
Semantic Structures for Video Data Indexing. AMCP 1998: 356-369 - 1997
- [c1]Koji Zettsu, Kuniaki Uehara, Katsumi Tanaka, Nobuo Kimura:
A Time-Stamped Authoring Graph for Video Databases. DEXA 1997: 192-201
Coauthor Index
[c147] [c146] [c145] [j16] [j15] [c144] [c143] [c141] [c140] [c139] [i3] [c136] [c134] [c133] [c132] [c131] [c127] [c126] [c125] [i2] [i1] [c122] [c120] [c118] [c117] [c115] [c113] [c112] [j12] [c108] [c104] [c103] [c102] [c101] [c96] [c94] [c93] [c89] [c88] [c87] [c85] [c84] [c83] [c79] [c77] [c75] [c74] [c70] [c68] [c66] [c64] [c61] [c59] [c58] [c54]
R. Uday Kiran
aka: Rage Uday Kiran
aka: Rage Uday Kiran
Likhitha Palla
aka: Palla Likhitha
aka: Palla Likhitha
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