A Time-Stamped Authoring Graph for Video Databases. - Koji Zettsu; Kuniaki Uehara; Katsumi Tanaka; Nobuo Kimura (DEXA, 1997)

Semantic Structures for Video Data Indexing. - Koji Zettsu; Kuniaki Uehara; Katsumi Tanaka (AMCP, 1998)

Image Retrieval by Web Context: Filling the Gap between Image Keywords and Usage Keywords. - Koji Zettsu; Yutaka Kidawara; Katsumi Tanaka (DEXA, 2003)

Aspect Discovery: Web Contents Characterization by Their Referential Contexts. - Koji Zettsu; Yutaka Kidawara; Katsumi Tanaka (APWeb, 2004)

Operating Mechanism for Device Cooperative Content on Ubiquitous Network. - Yutaka Kidawara; Koji Zettsu (C5, 2004)

Discovering Aspects of Web Pages from Their Referential Contexts in the Web. - Koji Zettsu; Yutaka Kidawara; Katsumi Tanaka (DASFAA, 2004)

Device Cooperative Web Browsing and Retrieving Mechanism on Ubiquitous Networks. - Yutaka Kidawara; Koji Zettsu; Tomoyuki Uchiyama; Katsumi Tanaka (DEXA, 2004)

Guiding Web Search by Third-party Viewpoints: Browsing Retrieval Results by Referential Contexts in Web. - Koji Zettsu; Yutaka Kidawara; Katsumi Tanaka (DEXA, 2004)

WebBoard: a new display and browsing concept for Web content in public areas. - Yutaka Kidawara; Koji Zettsu (ICME, 2004)

Discovering aspect-based correlation of Web contents for cross-media information retrieval. - Koji Zettsu; Yutaka Kidawara; Katsumi Tanaka (ICME, 2004)

ImageAspect Finder/Difference-Amplifier: Focusing on Peripheral Information for Image Search and Browsing. - Shinsuke Nakajima; Koji Zettsu (APWeb, 2005)

Referential Context Mining: Discovering Viewpoints from the Web. - Koji Zettsu; Katsumi Tanaka (Web Intelligence, 2005)

Reconfigurable Search Engine for Exploiting Search Knowledge. - Koji Zettsu; Katsumi Tanaka (C5, 2006)

Towards Knowledge Management Based on Harnessing Collective Intelligence on the Web. - Koji Zettsu; Yasushi Kiyoki (EKAW, 2006)

u-Cam: A User-Driven Control Mechanism for Ubiquitous Cameras and Its Content Management. - Shumian He; Yukiko Kawai; Yutaka Kidawara; Koji Zettsu; Katsumi Tanaka (MDM, 2006)

u-Cam: Ubiquitous Camera in Real World with User-Driven Control. - Shumian He; Yukiko Kawai; Koji Zettsu; Katsumi Tanaka (MDM, 2006)

Knowledge Cluster Systems for Knowledge Sharing, Analysis and Delivery among Remote Sites. - Koji Zettsu; Takafumi Nakanishi; Michiaki Iwazume; Yutaka Kidawara; Yasushi Kiyoki (EJC, 2007)

Information Modelling and Global Risk Management Systems. - Hannu Jaakkola; Bernhard Thalheim; Yutaka Kidawara; Koji Zettsu; Xing Chen 003; Anneli Heimbürger (EJC, 2008)

A Vector Space Model on Hierarchical Structures with Dynamic Mapping Operator Creation. - Takafumi Nakanishi; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (Web Intelligence/IAT Workshops, 2008)

Dynamic Cross-domain Link Creation for Interconnection of Heterogeneous Knowledge Bases. - Takafumi Nakanishi; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (ISUC, 2008)

Spoken Dialog System for Next Generation Knowledge Access. - Hideki Kashioka; Susumu Akamine; Takafumi Nakanishi; Hisashi Miyamori; Koji Zettsu; Yutaka Kidawara; Satoshi Nakamura 001 (MDM, 2008)

Approaching the Interconnection of Heterogeneous Knowledge Bases on a Knowledge Grid. - Takafumi Nakanishi; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (SKG, 2008)

KC3 browser: semantic mash-up and link-free browsing. - Michiaki Iwazume; Ken Kaneiwa; Koji Zettsu; Takafumi Nakanishi; Yutaka Kidawara; Yasushi Kiyoki (WWW, 2008)

Decentralized architecture for resource management of group-based distributed systems. - Rong Zhang 002; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (Frontiers Comput. Sci. China, 2008)

Knowledge Modeling, Management and Utilization towards Next Generation Web. - Yutaka Kidawara; Koji Zettsu; Yasushi Kiyoki; Kai Jannaschk; Bernhard Thalheim; Petri Linna; Hannu Jaakkola; Marie Duzí (EJC, 2009)

A Context Dependent Dynamic Interconnection Method of Heterogeneous Knowledge Bases by Interrelation Management Function. - Takafumi Nakanishi; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (EJC, 2009)

SAVVY: A Semantic Associative Browsing System for Heterogeneous Knowledge Resources. - Takafumi Nakanishi; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (HICSS, 2009)

Towards moving phenomena data management. - Koji Zettsu; Kyoung-Sook Kim 001; Yutaka Kidawara; Yasushi Kiyoki (IUCS, 2009)

SOBEX: distributed service Search engine that exploits service cOllaBoration contEXt. - Rong Zhang 002; Koji Zettsu; Takafumi Nakanishi; Yutaka Kidawara; Yasushi Kiyoki (IUCS, 2009)

Sticker: Searching and Aggregating User-Generated Contents along with Trajectories of Moving Phenomena. - Kyoung-Sook Kim 001; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (Mobile Data Management, 2009)

Context-Based Web Service Clustering. - Rong Zhang 002; Koji Zettsu; Takafumi Nakanishi; Yutaka Kidawara; Yasushi Kiyoki (SKG, 2009)

Moving Phenomenon: Aggregation and Analysis of Geotime-Tagged Contents on the Web. - Kyoung-Sook Kim 001; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (W2GIS, 2009)

SAVVY Wiki: a context-oriented collaborative knowledge management system. - Takafumi Nakanishi; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (Int. Sym. Wikis, 2009)

StickViz: A New Visualization Tool for Phenomenon-Based k-Neighbors Searches in Geosocial Networking Services. - Kyoung-Sook Kim 001; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (APWeb, 2010)

Phenomena-Based Management of Geotime-Tagged Contents on the Web. - Kyoung-Sook Kim 001; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (DBKDA, 2010)

A Phenomena-of-Interest Approach for the Interconnection of Sensor Data and Spatiotemporal Web Contents. - Kyoung-Sook Kim 001; Takafumi Nakanishi; Hidenori Homma; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (EJC, 2010)

A Three-layered Architecture for Event-centric Interconnections among Heterogeneous Data Repositories and its Application to Space Weather. - Takafumi Nakanishi; Hidenori Homma; Kyoung-Sook Kim 001; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (EJC, 2010)

Future Directions of Knowledge Systems Environments for Web 3.0. - Koji Zettsu; Bernhard Thalheim; Yutaka Kidawara; Elina Karttunen; Hannu Jaakkola (EJC, 2010)

A relation-based services management mechanism for service computing. - Yuhei Akahoshi; Koji Zettsu; Yutaka Kidawara; Katsumi Tanaka (IUCS, 2010)

Exploiting Service Context for Web Service Search Engine. - Rong Zhang 002; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (WAIM, 2010)

Context-Sensitive Query Expansion over the Bipartite Graph Model for Web Service Search. - Rong Zhang 002; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (DASFAA (1), 2011)

Structural Approach to Service Composition Based on Relational Model. - Yuhei Akahoshi; Koji Zettsu; Yutaka Kidawara; Katsumi Tanaka (EJC, 2011)

mTrend: discovery of topic movements on geo-microblogging messages. - Kyoung-Sook Kim 001; Ryong Lee; Koji Zettsu (GIS, 2011)

Interconnection of heterogeneous knowledge bases and its application on Knowledge Grid. - Takafumi Nakanishi; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (Concurr. Comput. Pract. Exp., 2011)

Data-Centered Service Composition for Information Analysis. - Yohei Murakami; Masahiro Tanaka; Arif Bramantoro; Koji Zettsu (IEEE SCC, 2012)

Data-Intensive Services for Large-Scale Archive Access. - Masahiro Tanaka; Yohei Murakami; Koji Zettsu (IEEE SCC, 2012)

Web Service Ranking Based on Context. - Rong Zhang 002; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki (CGC, 2012)

Towards Service Atomization for Analyzing Information. - Arif Bramantoro; Toru Kamada; Masahiro Tanaka; Yohei Murakami; Koji Zettsu (ICWS, 2012)

Searching inter-disciplinary scientific big data based on latent correlation analysis. - Eloy Gonzales; Bun Theang Ong; Koji Zettsu (IEEE BigData, 2013)

The Architecture and Design of a Community-Based Cloud Platform for Curating Big Data. - Sulayman K. Sowe; Koji Zettsu (CyberC, 2013)

A model for creating and sustaining information services platform communities: Lessons learnt from open source software. - Sulayman K. Sowe; Koji Zettsu; Yohei Murakami (Kaleidoscope, 2013)

Complementary Integration of Heterogeneous Crowd-Sourced Datasets for Enhanced Social Analytics. - Ryong Lee; Kyoung-Sook Kim 001; Komei Sugiura; Koji Zettsu; Yutaka Kidawara (MDM (2), 2013)

Utterance Classification Using Linguistic and Non-linguistic Information for Network-Based Speech-to-Speech Translation Systems. - Komei Sugiura; Ryong Lee; Hideki Kashioka; Koji Zettsu; Yutaka Kidawara (MDM (2), 2013)

Collaborative development of data curation profiles on a wiki platform: experience from free and open source software projects and communities. - Sulayman K. Sowe; Koji Zettsu (OpenSym, 2013)

Context-sensitive Web service discovery over the bipartite graph model. - Rong Zhang 002; Koji Zettsu; Yutaka Kidawara; Yasushi Kiyoki; Aoying Zhou (Frontiers Comput. Sci., 2013)

Foreword. - Koji Zettsu (IEICE Trans. Inf. Syst., 2013)

Spatio-temporal Pseudo Relevance Feedback for Large-Scale and Heterogeneous Scientific Repositories. - Shin'ichi Takeuchi; Yuhei Akahoshi; Bun Theang Ong; Komei Sugiura; Koji Zettsu (BigData Congress, 2014)

Dynamic pre-training of Deep Recurrent Neural Networks for predicting environmental monitoring data. - Bun Theang Ong; Komei Sugiura; Koji Zettsu (IEEE BigData, 2014)

Managing Heterogeneous Sensor Data on a Big Data Platform: IoT Services for Data-Intensive Science. - Sulayman K. Sowe; Takashi Kimata; Mianxiong Dong; Koji Zettsu (COMPSAC Workshops, 2014)

A Real-time Complex Event Discovery Platform for Cyber-Physical-Social Systems. - Minh-Son Dao; Siripen Pongpaichet; Laleh Jalali; Kyoung-Sook Kim 001; Ramesh C. Jain; Koiji Zettsu (ICMR, 2014)

Service-Controlled Networking: Dynamic In-Network Data Fusion for Heterogeneous Sensor Networks. - Mianxiong Dong; Takashi Kimata; Koji Zettsu (SRDS Workshops, 2014)

Curating Big Data Made Simple: Perspectives from Scientific Communities. - Sulayman K. Sowe; Koji Zettsu (Big Data, 2014)

Quality-of-Experience (QoE) in Emerging Mobile Social Networks. - Mianxiong Dong; Takashi Kimata; Komei Sugiura; Koji Zettsu (IEICE Trans. Inf. Syst., 2014)

Provenance-Based Security Risk Assessment Framework. - Guillermo Horacio Ramirez Caceres; Koji Zettsu (J. Inf. Process., 2014)

Discovering Environmental Impacts on Public Health Using Heterogeneous Big Sensory Data. - Minh-Son Dao; Koji Zettsu (BigData Congress, 2015)

Exploring spatio-temporal-theme correlation between physical and social streaming data for event detection and pattern interpretation from heterogeneous sensors. - Minh-Son Dao; Koji Zettsu; Siripen Pongpaichet; Laleh Jalali; Ramesh C. Jain (IEEE BigData, 2015)

Constrained region selection method based on configuration space for visualization in scientific dataset search. - Shin'ichi Takeuchi; Komei Sugiura; Yuhei Akahoshi; Koji Zettsu (IEEE BigData, 2015)

Human Factors in Cyber-Physical Social Systems: Leveraging Social Sensor Data. - Sulayman K. Sowe; Koji Zettsu (EJC, 2015)

Complex asthma risk factor recognition from heterogeneous data streams. - Laleh Jalali; Minh-Son Dao; Ramesh C. Jain; Koiji Zettsu (ICME Workshops, 2015)

Geovisualization and correlation analysis between geotagged Twitter and JMA rainfall data: Case of heavy rain disaster in Hiroshima. - Ko Ko Lwin; Koji Zettsu; Komei Sugiura (ICSDM, 2015)

Rospeex: A cloud robotics platform for human-robot spoken dialogues. - Komei Sugiura; Koji Zettsu (IROS, 2015)

User-Centered Event Data Modelling and Analytics. - Stefano Valtolina; Marco Mesiti; Luca Ferrari 003; Koji Zettsu; Minh-Son Dao (CoPDA@IS-EUD, 2015)

Automatic Labeling Streaming Data for Event Detection from Heterogeneous Sensors. - Minh-Son Dao; Koji Zettsu (KSE, 2015)

Towards an Open Data Development Model for Linking Heterogeneous Data Sources. - Sulayman K. Sowe; Koji Zettsu (KSE, 2015)

An editable live ETL system for Ambient Intelligence environments. - Marco Mesiti; Stefano Valtolina; Luca Ferrari 003; Minh-Son Dao; Koji Zettsu (WF-IoT, 2015)

Designing a Cyber-Physical Cloud Computing Architecture. - Eric Simmon; Sulayman K. Sowe; Koji Zettsu (IT Prof., 2015)

streamLoader: An Event-Driven ETL System for the On-line Processing of Heterogeneous Sensor Data. - Marco Mesiti; Luca Ferrari 003; Stefano Valtolina; Giacomo Licari; Gian Luca Galliani; Minh-Son Dao; Koji Zettsu (EDBT, 2016)

Analysis of Long-Term and Large-Scale Experiments on Robot Dialogues Using a Cloud Robotics Platform. - Komei Sugiura; Koji Zettsu (HRI, 2016)

Space-time multiple regression model for grid-based population estimation in urban areas. - Ko Ko Lwin; Komei Sugiura; Koji Zettsu (Int. J. Geogr. Inf. Sci., 2016)

Cyber-Physical-Human Systems: Putting People in the Loop. - Sulayman K. Sowe; Eric Simmon; Koji Zettsu; Frederic J. de Vaulx; Irena Bojanova (IT Prof., 2016)

Dynamically pre-trained deep recurrent neural networks using environmental monitoring data for predicting PM2.5. - Bun Theang Ong; Komei Sugiura; Koji Zettsu (Neural Comput. Appl., 2016)

Discovering co-occurrence patterns of heterogeneous events from unevenly-distributed spatiotemporal data. - Hung Tran-The; Koji Zettsu (IEEE BigData, 2017)

Finding Spatiotemporal Co-occurrence Patterns of Heterogeneous Events for Prediction. - Hung Tran-The; Koji Zettsu (EM-GIS, 2017)

A Raster-Image-Based Approach for Understanding Associations of Urban Sensing Data. - Minh-Son Dao; Koji Zettsu (AIKE, 2018)

Complex Event Analysis of Urban Environmental Data based on Deep CNN of Spatiotemporal Raster Images. - Minh-Son Dao; Koji Zettsu (IEEE BigData, 2018)

Convolution Recurrent Neural Networks for Short-Term Prediction of Atmospheric Sensing Data. - Peijiang Zhao; Koji Zettsu (iThings/GreenCom/CPSCom/SmartData, 2018)

Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases. - P. P. C. Reddy; R. Uday Kiran; Koji Zettsu; Masashi Toyoda; P. Krishna Reddy; Masaru Kitsuregawa (BDA, 2019)

Transforming Sensing Data into Smart Data for Smart Sustainable Cities. - Koji Zettsu (BDA, 2019)

Multi-time-horizon Traffic Risk Prediction using Spatio-Temporal Urban Sensing Data Fusion. - Minh-Son Dao; Ngoc-Thanh Nguyen; Koji Zettsu (IEEE BigData, 2019)

Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases. - R. Uday Kiran; C. Saideep; Koji Zettsu; Masashi Toyoda; Masaru Kitsuregawa; P. Krishna Reddy (IEEE BigData, 2019)

Complex Event Analysis for Traffic Risk Prediction based on 3D-CNN with Multi-sources Urban Sensing Data. - Ngoc-Thanh Nguyen; Minh-Son Dao; Koji Zettsu (IEEE BigData, 2019)

Association Model between Visual Feature and AQI Rank Using Lifelog Data. - Phuong-Binh Vo; Trong-Dat Phan; Minh-Son Dao; Koji Zettsu (IEEE BigData, 2019)

Decoder Transfer Learning for Predicting Personal Exposure to Air Pollution. - Peijiang Zhao; Koji Zettsu (IEEE BigData, 2019)

An Interactive Watershed-Based Approach for Lifelog Moment Retrieval. - Trong-Dat Phan; Minh-Son Dao; Koji Zettsu (BigMM, 2019)

From Chaos to Order: The Role of Content and Context of Daily Activities in Rearranging Lifelogs Data. - Anh-Khoa Vo; Minh-Son Dao; Koji Zettsu (BigMM, 2019)

BIDAL@imageCLEFlifelog2019: The Role of Content and Context of Daily Activities in Insights from Lifelogs. - Minh-Son Dao; Anh-Khoa Vo; Trong-Dat Phan; Koji Zettsu (CLEF (Working Notes), 2019)

Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases. - Rage Uday Kiran; P. P. C. Reddy; Koji Zettsu; Masashi Toyoda; Masaru Kitsuregawa; P. Krishna Reddy (ICDM Workshops, 2019)

Discovering Periodic Patterns in Irregular Time Series. - C. Saideep; Rage Uday Kiran; Koji Zettsu; Philippe Fournier-Viger; Masaru Kitsuregawa; P. Krishna Reddy (ICDM Workshops, 2019)

City Geospatial Dashboard: IoT and Big Data Analytics for Geospatial Solutions Provider in Disaster Management. - Ko Ko Lwin; Yoshihide Sekimoto; Wataru Takeuchi; Koji Zettsu (ICT-DM, 2019)

Overview of MediaEval 2019: Insights for Wellbeing TaskMultimodal Personal Health Lifelog Data Analysis. - Minh-Son Dao; Peijiang Zhao; Tomohiro Sato; Koji Zettsu; Duc-Tien Dang-Nguyen; Cathal Gurrin; Ngoc-Thanh Nguyen (MediaEval, 2019)

Report on a Hackathon for Car Navigation Using Traffic Risk Data. - Sadanori Ito; Koji Zettsu (MLMI, 2019)

SEPHLA: Challenges and Opportunities Within Environment - Personal Health Archives. - Tomohiro Sato; Minh-Son Dao; Kota Kuribayashi; Koji Zettsu (MMM (1), 2019)

Discovering Spatial High Utility Itemsets in Spatiotemporal Databases. - R. Uday Kiran; Koji Zettsu; Masashi Toyoda; Philippe Fournier-Viger; P. Krishna Reddy; Masaru Kitsuregawa (SSDBM, 2019)

Fusion-3DCNN-max3P: A dynamic system for discovering patterns of predicted congestion. - Minh-Son Dao; Ngoc-Thanh Nguyen; R. Uday Kiran; Koji Zettsu (IEEE BigData, 2020)

Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture. - R. Uday Kiran; Sadanori Ito; Minh-Son Dao; Koji Zettsu; Cheng-Wei Wu; Yutaka Watanobe; Incheon Paik; Truong Cong Thang (IEEE BigData, 2020)

Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases. - Palla Likhitha; Penugonda Ravikumar; R. Uday Kiran; Yuto Hayamizu; Kazuo Goda; Masashi Toyoda; Koji Zettsu; Sourabh Shrivastava (IEEE BigData, 2020)

Crowd Forecasting at Venues with Microblog Posts Referring to Future Events. - Ryotaro Tsukada; Haosen Zhan; Shonosuke Ishiwatari; Masashi Toyoda; Kazutoshi Umemoto; Haichuan Shang; Koji Zettsu (IEEE BigData, 2020)

MASTGN: Multi-Attention Spatio-Temporal Graph Networks for Air Pollution Prediction. - Peijiang Zhao; Koji Zettsu (IEEE BigData, 2020)

Leverage the Predictive Power Score of Lifelog Data's Attributes to Predict the Expected Athlete Performance. - Anh-Vu Mai-Nguyen; Van-Luon Tran; Minh-Son Dao; Koji Zettsu (CLEF (Working Notes), 2020)

An Interactive Atomic-cluster Watershed-based System for Lifelog Moment Retrieval. - Van-Luon Tran; Trong-Dat Phan; Anh-Vu Mai-Nguyen; Anh-Khoa Vo; Minh-Son Dao; Koji Zettsu (CLEF (Working Notes), 2020)

Leveraging 3D-Raster-Images and DeepCNN with Multi-source Urban Sensing Data for Traffic Congestion Prediction. - Ngoc-Thanh Nguyen; Minh-Son Dao; Koji Zettsu (DEXA (2), 2020)

Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases. - R. Uday Kiran; Yutaka Watanobe; Bhaskar Chaudhury; Koji Zettsu; Masashi Toyoda; Masaru Kitsuregawa (DSAA, 2020)

Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases. - R. Uday Kiran; C. Saideep; Penugonda Ravikumar; Koji Zettsu; Masashi Toyoda; Masaru Kitsuregawa; P. Krishna Reddy (FUZZ-IEEE, 2020)

Discovering Frequent Spatial Patterns in Very Large Spatiotemporal Databases. - R. Uday Kiran; Sourabh Shrivastava; Philippe Fournier-Viger; Koji Zettsu; Masashi Toyoda; Masaru Kitsuregawa (SIGSPATIAL/GIS, 2020)

From Data Collection Merit to Data Connection Merit for Smart Sustainable Cities. - Koji Zettsu (ICDAR@ICMR, 2020)

Insights From Urban Sensing Data: From Chaos to Predicted Congestion Patterns. - Minh-Son Dao; Ngoc-Thanh Nguyen; R. Uday Kiran; Koji Zettsu (ICDM (Workshops), 2020)

Parallel Mining of Partial Periodic Itemsets in Big Data. - C. Saideep; R. Uday Kiran; Koji Zettsu; Cheng-Wei Wu; P. Krishna Reddy; Masashi Toyoda; Masaru Kitsuregawa (IEA/AIE, 2020)

BIDAL-HCMUS@LSC2020: An Interactive Multimodal Lifelog Retrieval with Query-to-Sample Attention-based Search Engine. - Anh-Vu Mai-Nguyen; Trong-Dat Phan; Anh-Khoa Vo; Van-Luon Tran; Minh-Son Dao; Koji Zettsu (LSC@ICMR, 2020)

An Interactive Multimodal Retrieval System for Memory Assistant and Life Organized Support. - Van-Luon Tran; Anh-Vu Mai-Nguyen; Trong-Dat Phan; Anh-Khoa Vo; Minh-Son Dao; Koji Zettsu (ICMR, 2020)

Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal Databases. - R. Uday Kiran; P. P. C. Reddy; Koji Zettsu; Masashi Toyoda; Masaru Kitsuregawa; P. Krishna Reddy (IEEE Access, 2020)

Lifelog Moment Retrieval With Interactive Watershed-Based Clustering and Hierarchical Similarity Search. - Trong-Dat Phan; Minh-Son Dao; Koji Zettsu (Int. J. Multim. Data Eng. Manag., 2020)

MM-trafficEvent: An Interactive Incident Retrieval System for First-view Travel-log Data. - Minh-Son Dao; Dinh-Duy Pham; Manh-Phu Nguyen; Thanh-Binh Nguyen; Koji Zettsu (IEEE BigData, 2021)

Fed xData: A Federated Learning Framework for Enabling Contextual Health Monitoring in a Cloud-Edge Network. - Tran Anh Khoa; Do-Van Nguyen; Minh-Son Dao; Koji Zettsu (IEEE BigData, 2021)

Improving the Awareness of Sustainable Smart Cities by Analyzing Lifelog Images and IoT Air Pollution Data. - Tuan-Vinh La; Minh-Son Dao; Kazuki Tejima; Rage Uday Kiran; Koji Zettsu (IEEE BigData, 2021)

Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases. - Palla Likhitha; Pamalla Veena; R. Uday Kiran; Yutaka Watanobe; Koji Zettsu (IEEE BigData, 2021)

Spatially-distributed Federated Learning of Convolutional Recurrent Neural Networks for Air Pollution Prediction. - Do Van Nguyen; Koji Zettsu (IEEE BigData, 2021)

Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases. - Pradeep Pallikila; Pamalla Veena; R. Uday Kiran; Ram Avatar; Sadanori Ito; Koji Zettsu; P. Krishna Reddy (IEEE BigData, 2021)

Efficient Discovery of Partial Periodic-Frequent Patterns in Temporal Databases. - So Nakamura; R. Uday Kiran; Palla Likhitha; Penugonda Ravikumar; Yutaka Watanobe; Minh-Son Dao; Koji Zettsu; Masashi Toyoda (DEXA (1), 2021)

Discovering Fuzzy Frequent Spatial Patterns in Large Quantitative Spatiotemporal databases. - Pamalla Veena; Sai Chithra Bommisetty; R. Uday Kiran; Sonali Agarwal; Koji Zettsu (FUZZ-IEEE, 2021)

Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases. - R. Uday Kiran; Palla Likhitha; Minh-Son Dao; Koji Zettsu; Ji Zhang 001 (ICONIP (5), 2021)

Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases. - Sai Chithra Bommisetty; Penugonda Ravikumar; Rage Uday Kiran; Minh-Son Dao; Koji Zettsu (IEA/AIE (1), 2021)

IMAGE-2-AQI: Aware of the Surrounding Air Qualification by a Few Images. - Minh-Son Dao; Koji Zettsu; Rage Uday Kiran (IEA/AIE (2), 2021)

Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases. - Penugonda Ravikumar; Likhitha Palla; Rage Uday Kiran; Yutaka Watanobe; Koji Zettsu (IEA/AIE (1), 2021)

A Unified Framework to Discover Partial Periodic-Frequent Patterns in Row and Columnar Temporal Databases. - Pamalla Veena; So Nakamura; Palla Likhitha; R. Uday Kiran; Yutaka Watanobe; Koji Zettsu (ICDM (Workshops), 2021)

Investigation on Privacy-Preserving Techniques For Personal Data. - Rafik Hamza; Koji Zettsu (ICDAR@ICMR, 2021)

Models to Predict Sleeping Quality from Activities and Environment: Current Status, Challenges and Opportunities. - Thi Phuoc Van Nguyen; Do Van Nguyen; Koji Zettsu (ICDAR@ICMR, 2021)

Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases. - Penugonda Ravikumar; Bathala Venus Vikranth Raj; Palla Likhitha; Rage Uday Kiran; Yutaka Watanobe; Sadanori Ito; Koji Zettsu; Masashi Toyoda (ACIIDS (2), 2022)

An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios. - Wenbin Gan; Minh-Son Dao; Koji Zettsu (IEEE Big Data, 2022)

Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs. - Wenbin Gan; Minh-Son Dao; Koji Zettsu (IEEE Big Data, 2022)

splitDyn: Federated Split Neural Network for Distributed Edge AI Applications. - Tran Anh Khoa; Do-Van Nguyen; Minh-Son Dao; Koji Zettsu (IEEE Big Data, 2022)

FedProb: An Aggregation Method Based on Feature Probability Distribution for Federated Learning on Non-IID Data. - Do-Van Nguyen; Anh-Khoa Tran; Koji Zettsu (IEEE Big Data, 2022)

A Novel Null-Invariant Temporal Measure to Discover Partial Periodic Patterns in Non-uniform Temporal Databases. - R. Uday Kiran; Vipul Chhabra; Saideep Chennupati; P. Krishna Reddy; Minh-Son Dao; Koji Zettsu (DASFAA (1), 2022)

Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements. - Pamalla Veena; Sreepada Tarun; R. Uday Kiran; Minh-Son Dao; Koji Zettsu; Yutaka Watanobe; Ji Zhang 001 (DEXA (2), 2022)

Discovering Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases. - Penugonda Ravikumar; R. Uday Kiran; Palla Likhitha; T. Chandrasekhar; Yutaka Watanobe; Koji Zettsu (DSAA, 2022)

Discovering Fuzzy Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases. - Pamalla Veena; Penugonda Ravikumar; Kundai Kwangwari; R. Uday Kiran; Kazuo Goda; Yutaka Watanobe; Koji Zettsu (FUZZ-IEEE, 2022)

UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases. - Palla Likhitha; Rage Veena; Rage Uday Kiran; Koji Zettsu; Masashi Toyoda; Philippe Fournier-Viger (ICONIP (5), 2022)

MM-AQI: A Novel Framework to Understand the Associations Between Urban Traffic, Visual Pollution, and Air Pollution. - Kazuki Tejima; Minh-Son Dao; Koji Zettsu (IEA/AIE, 2022)

IoT-based Multimodal Analysis for Smart Education: Current Status, Challenges and Opportunities. - Wenbin Gan; Minh-Son Dao; Koji Zettsu; Yuan Sun 006 (ICDAR@ICMR, 2022)

Towards Intellectual Property Rights Protection in Big Data. - Rafik Hamza; Minh-Son Dao; Sadanori Ito; Koji Zettsu (ICDAR@ICMR, 2022)

FedMCRNN: Federated Learning using Multiple Convolutional Recurrent Neural Networks for Sleep Quality Prediction. - Tran Anh Khoa; Do-Van Nguyen; Phuoc Van Nguyen Thi; Koji Zettsu (ICDAR@ICMR, 2022)

MM-TrafficRisk: A Video-based Fleet Management Application for Traffic Risk Prediction, Prevention, and Querying. - Minh-Son Dao; Muhamad Hilmil Muchtar Aditya Pradana; Koji Zettsu (IEEE Big Data, 2023)

Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform. - Minh-Son Dao; Huy Quang Ung; Sadanori Ito; Shinya Wada; Koji Zettsu (IEEE Big Data, 2023)

Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series. - Pamalla Veena; Palla Likhitha; R. Uday Kiran; José María Luna; Philippe Fournier-Viger; Koji Zettsu (FUZZ, 2023)

Procedural Driving Skill Coaching from More Skilled Drivers to Safer Drivers: A Survey. - Wenbin Gan; Minh-Son Dao; Koji Zettsu (ICDAR@ICMR, 2023)

Leveraging Knowledge Graphs for CheapFakes Detection: Beyond Dataset Evaluation. - Minh-Son Dao; Koji Zettsu (ICME Workshops, 2023)

AOP: Towards Adaptive Offloading Point Approach in a Federated Learning Framework for Edge AI Applications. - Tran Anh Khoa; Do-Van Nguyen; Minh-Son Dao; Koji Zettsu (ICPADS, 2023)

Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases. - Palla Likhitha; Pamalla Veena; Rage Uday Kiran; Koji Zettsu (PAKDD (3), 2023)

Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements. - Pamalla Veena; Sreepada Tarun; Rage Uday Kiran; Minh-Son Dao; Koji Zettsu; Yutaka Watanobe; Ji Zhang 001 (IEEE Access, 2023)

Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style Translation. - Hilmil Pradana; Minh-Son Dao; Koji Zettsu (CoRR, 2023)

HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases. - Rage Uday Kiran; Pamalla Veena; Penugonda Ravikumar; Bathala Venus Vikranth Raj; Minh-Son Dao; Koji Zettsu; Sai Chithra Bommisetti (Appl. Intell., 2023)

A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases. - Pamalla Veena; Rage Uday Kiran; Penugonda Ravikumar; Likhitha Palla; Yuto Hayamizu; Kazuo Goda; Masashi Toyoda; Koji Zettsu; Sourabh Shrivastava (Appl. Intell., 2023)

Digital Twin Orchestration: Framework and Smart City Applications. - Do-Van Nguyen; Minh-Son Dao; Koji Zettsu (AI4DT&CP@IJCAI, 2024)

Spatial-temporal Graph Transformer Network for Spatial-temporal Forecasting. - Minh-Son Dao; Koji Zettsu; Duy-Tang Hoang (IEEE Big Data, 2024)

SimLLM: Detecting Sentences Generated by Large Language Models Using Similarity between the Generation and its Re-generation. - Hoang-Quoc Nguyen-Son; Minh-Son Dao; Koji Zettsu (EMNLP, 2024)

Enhancing Smart Service Development: Embedding Image Recognition Capabilities within the xDataAPI. - Sadanori Ito; Koji Zettsu (ICDAR@ICMR, 2024)

Near-Miss Accident Prediction on the Edge: A Real-Time System for Safer Driving. - Minh-Son Dao; Koji Zettsu (ICMR, 2024)

Drive-CLIP: Cross-Modal Contrastive Safety-Critical Driving Scenario Representation Learning and Zero-Shot Driving Risk Analysis. - Wenbin Gan; Minh-Son Dao; Koji Zettsu (MMM (2), 2024)

Clustering-Enhanced Reinforcement Learning for Adaptive Offloading in Resource-Constrained Devices. - Tran Anh Khoa; Minh-Son Dao; Do-Van Nguyen; Koji Zettsu (SMARTCOMP, 2024)

3P-ECLAT: mining partial periodic patterns in columnar temporal databases. - Pamalla Veena; Rage Uday Kiran; Penugonda Ravikumar; Likhitha Palla; Yutaka Watanobe; Sadanori Ito; Koji Zettsu; Masashi Toyoda; Bathala Venus Vikranth Raj (Appl. Intell., 2024)

TOU: A Truncated-factorized reduction for a lightweight fine-tuning method. - Phuong Thi Mai Nguyen; Koji Zettsu (ICDAR@ICMR, 2025)

Efficient Federated Split Learning on Android Smartphones via Adaptive Offloading Point Mechanism. - Pham Duy Thanh; Koji Zettsu (ICDAR@ICMR, 2025)

Bridging Video and Symbols: A Hybrid AI for Edge Traffic-Risk Reasoning. - Minh-Son Dao; Phuong Thi Mai Nguyen; Swe Nwe Nwe Htun; Koji Zettsu (ICMI Companion, 2025)

Simulated Insight, Real-World Impact: Enhancing Driving Safety with CARLA-Simulated Personalized Lessons and Eye-Tracking Risk Coaching. - Wenbin Gan; Minh-Son Dao; Koji Zettsu (ICMI, 2025)

FSBridge: Bridging Federated and Split Learning for Next-Generation Edge AI. - Tran Anh Khoa; Minh-Son Dao; Koji Zettsu (IJCNN, 2025)

Smart Driving Assistance with Real-Time Risk Assessment and Personalized Driving Coaching to Enhance Road Safety. - Wenbin Gan; Minh-Son Dao; Koji Zettsu (MMM (5), 2025)

A Novel Depth-First Search Algorithm for Partial Periodic-Frequent Pattern Mining in Temporal Databases. - Pamalla Veena; Vanitha Kattumuri; Yutaka Watanobe; Rage Uday Kiran; So Nakamura; Palla Likhitha; Koji Zettsu (IEEE Access, 2025)

Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios. - Wenbin Gan; Minh-Son Dao; Koji Zettsu (CoRR, 2025)

Periodic-confidence: a null-invariant measure to discover partial periodic patterns in non-uniform temporal databases. - Rage Uday Kiran; Vipul Chhabra; Saideep Chennupati; Krishna Reddy Polipalli; Minh-Son Dao; Koji Zettsu (Int. J. Data Sci. Anal., 2025)