Koji Zettsu

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 102

Top Venues

Publications

Tran Anh Khoa, Minh-Son Dao, Do-Van Nguyen, Koji Zettsu
Clustering-Enhanced Reinforcement Learning for Adaptive Offloading in Resource-Constrained Devices. SMARTCOMP (2024)
Minh-Son Dao, Koji Zettsu
Near-Miss Accident Prediction on the Edge: A Real-Time System for Safer Driving. ICMR (2024)
Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda, Bathala Venus Vikranth Raj
3P-ECLAT: mining partial periodic patterns in columnar temporal databases. Appl. Intell. 54 (1) (2024)
Sadanori Ito, Koji Zettsu
Enhancing Smart Service Development: Embedding Image Recognition Capabilities within the xDataAPI. ICDAR@ICMR (2024)
Wenbin Gan, Minh-Son Dao, Koji Zettsu
Drive-CLIP: Cross-Modal Contrastive Safety-Critical Driving Scenario Representation Learning and Zero-Shot Driving Risk Analysis. MMM (2) (2024)
Wenbin Gan, Minh-Son Dao, Koji Zettsu
Procedural Driving Skill Coaching from More Skilled Drivers to Safer Drivers: A Survey. ICDAR@ICMR (2023)
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)
Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava
A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases. Appl. Intell. 53 (22) (2023)
Minh-Son Dao, Koji Zettsu
Leveraging Knowledge Graphs for CheapFakes Detection: Beyond Dataset Evaluation. ICME Workshops (2023)
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)
Hilmil Pradana, Minh-Son Dao, Koji Zettsu
Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style Translation. CoRR (2023)
Minh-Son Dao, Huy Quang Ung, Sadanori Ito, Shinya Wada, Koji Zettsu
Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform. BigData (2023)
Rage Uday Kiran, Pamalla Veena, Penugonda Ravikumar, Bathala Venus Vikranth Raj, Minh-Son Dao, Koji Zettsu, Sai Chithra Bommisetti
HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases. Appl. Intell. 53 (8) (2023)
Palla Likhitha, Pamalla Veena, Rage Uday Kiran, Koji Zettsu
Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases. PAKDD (3) (2023)
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. BigData (2023)
Pamalla Veena, Sreepada Tarun, Rage Uday Kiran, Minh-Son Dao, Koji Zettsu, Yutaka Watanobe, Ji Zhang
Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements. IEEE Access 11 (2023)
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)
Wenbin Gan, Minh-Son Dao, Koji Zettsu
An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios. CoRR (2022)
Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu
splitDyn: Federated Split Neural Network for Distributed Edge AI Applications. Big Data (2022)
Rafik Hamza, Minh-Son Dao, Sadanori Ito, Koji Zettsu
Towards Intellectual Property Rights Protection in Big Data. ICDAR@ICMR (2022)
Kazuki Tejima, Minh-Son Dao, Koji Zettsu
MM-AQI: A Novel Framework to Understand the Associations Between Urban Traffic, Visual Pollution, and Air Pollution. IEA/AIE (2022)
R. Uday Kiran, Vipul Chhabra, Saideep Chennupati, P. Krishna Reddy, Minh-Son Dao, Koji Zettsu
A Novel Null-Invariant Temporal Measure to Discover Partial Periodic Patterns in Non-uniform Temporal Databases. DASFAA (1) (2022)
Tran Anh Khoa, Do-Van Nguyen, Phuoc Van Nguyen Thi, Koji Zettsu
FedMCRNN: Federated Learning using Multiple Convolutional Recurrent Neural Networks for Sleep Quality Prediction. ICDAR@ICMR (2022)
Wenbin Gan, Minh-Son Dao, Koji Zettsu
An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios. Big Data (2022)
Wenbin Gan, Minh-Son Dao, Koji Zettsu
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs. Big Data (2022)
Do-Van Nguyen, Anh-Khoa Tran, Koji Zettsu
FedProb: An Aggregation Method Based on Feature Probability Distribution for Federated Learning on Non-IID Data. Big Data (2022)
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)
Wenbin Gan, Minh-Son Dao, Koji Zettsu
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs. CoRR (2022)
Wenbin Gan, Minh-Son Dao, Koji Zettsu, Yuan Sun
IoT-based Multimodal Analysis for Smart Education: Current Status, Challenges and Opportunities. ICDAR@ICMR (2022)
Penugonda Ravikumar, Bathala Venus Vikranth Raj, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda
Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases. ACIIDS (2) (2022)
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)
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)
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)
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)
Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu
Fed xData: A Federated Learning Framework for Enabling Contextual Health Monitoring in a Cloud-Edge Network. IEEE BigData (2021)
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)
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)
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)
R. Uday Kiran, Palla Likhitha, Minh-Son Dao, Koji Zettsu, Ji Zhang
Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases. ICONIP (5) (2021)
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)
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)
Pradeep Pallikila, Pamalla Veena, R. Uday Kiran, Ram Avatar, Sadanori Ito, Koji Zettsu, P. Krishna Reddy
Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases. IEEE BigData (2021)
Rafik Hamza, Koji Zettsu
Investigation on Privacy-Preserving Techniques For Personal Data. ICDAR@ICMR (2021)
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)
P. Likitha, Pamalla Veena, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu
Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases. IEEE BigData (2021)
Do Van Nguyen, Koji Zettsu
Spatially-distributed Federated Learning of Convolutional Recurrent Neural Networks for Air Pollution Prediction. IEEE BigData (2021)
Anh-Vu Mai-Nguyen, Trong-Dat Phan, Anh-Khoa Vo, Van-Luon Tran, Minh-Son Dao, Koji Zettsu
BIDAL-HCMUS@LSC2020: An Interactive Multimodal Lifelog Retrieval with Query-to-Sample Attention-based Search Engine. LSC@ICMR (2020)
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)
Koji Zettsu
From Data Collection Merit to Data Connection Merit for Smart Sustainable Cities. ICDAR@ICMR (2020)
R. Uday Kiran, C. Saideep, Penugonda Ravikumar, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases. FUZZ-IEEE (2020)
Palla Likhitha, Penugonda Ravikumar, R. Uday Kiran, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava
Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases. IEEE BigData (2020)
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) (2020)
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)
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)
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)
Van-Luon Tran, Anh-Vu Mai-Nguyen, Trong-Dat Phan, Anh-Khoa Vo, Minh-Son Dao, Koji Zettsu
An Interactive Multimodal Retrieval System for Memory Assistant and Life Organized Support. ICMR (2020)
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)
Peijiang Zhao, Koji Zettsu
MASTGN: Multi-Attention Spatio-Temporal Graph Networks for Air Pollution Prediction. IEEE BigData (2020)
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)
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)
R. Uday Kiran, Sadanori Ito, Minh-Son Dao, Koji Zettsu, Cheng-Wei Wu, Yutaka Watanobe, Incheon Paik, Truong Cong Thang
Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture. IEEE BigData (2020)
R. Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal Databases. IEEE Access 8 (2020)
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)
R. Uday Kiran, Yutaka Watanobe, Bhaskar Chaudhury, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa
Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases. DSAA (2020)
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)
Koji Zettsu
Transforming Sensing Data into Smart Data for Smart Sustainable Cities. BDA (2019)
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)
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)
C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, P. Krishna Reddy
Discovering Periodic Patterns in Irregular Time Series. ICDM Workshops (2019)
Peijiang Zhao, Koji Zettsu
Decoder Transfer Learning for Predicting Personal Exposure to Air Pollution. IEEE BigData (2019)
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)
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)
Phuong-Binh Vo, Trong-Dat Phan, Minh-Son Dao, Koji Zettsu
Association Model between Visual Feature and AQI Rank Using Lifelog Data. IEEE BigData (2019)
R. Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger, P. Krishna Reddy, Masaru Kitsuregawa
Discovering Spatial High Utility Itemsets in Spatiotemporal Databases. SSDBM (2019)
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)
Sadanori Ito, Koji Zettsu
Report on a Hackathon for Car Navigation Using Traffic Risk Data. MLMI (2019)
Minh-Son Dao, Ngoc-Thanh Nguyen, Koji Zettsu
Multi-time-horizon Traffic Risk Prediction using Spatio-Temporal Urban Sensing Data Fusion. IEEE BigData (2019)
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)
Trong-Dat Phan, Minh-Son Dao, Koji Zettsu
An Interactive Watershed-Based Approach for Lifelog Moment Retrieval. BigMM (2019)
Tomohiro Sato, Minh-Son Dao, Kota Kuribayashi, Koji Zettsu
SEPHLA: Challenges and Opportunities Within Environment - Personal Health Archives. MMM (1) (2019)
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)
Minh-Son Dao, Koji Zettsu
A Raster-Image-Based Approach for Understanding Associations of Urban Sensing Data. AIKE (2018)
Peijiang Zhao, Koji Zettsu
Convolution Recurrent Neural Networks for Short-Term Prediction of Atmospheric Sensing Data. iThings/GreenCom/CPSCom/SmartData (2018)
Minh-Son Dao, Koji Zettsu
Complex Event Analysis of Urban Environmental Data based on Deep CNN of Spatiotemporal Raster Images. IEEE BigData (2018)
Hung Tran-The, Koji Zettsu
Discovering co-occurrence patterns of heterogeneous events from unevenly-distributed spatiotemporal data. IEEE BigData (2017)
Hung Tran-The, Koji Zettsu
Finding Spatiotemporal Co-occurrence Patterns of Heterogeneous Events for Prediction. EM-GIS (2017)
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)
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) (2016)
Komei Sugiura, Koji Zettsu
Analysis of Long-Term and Large-Scale Experiments on Robot Dialogues Using a Cloud Robotics Platform. HRI (2016)
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) (2016)
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) (2016)
Sulayman K. Sowe, Koji Zettsu
Towards an Open Data Development Model for Linking Heterogeneous Data Sources. KSE (2015)
Komei Sugiura, Koji Zettsu
Rospeex: A cloud robotics platform for human-robot spoken dialogues. IROS (2015)
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)
Sulayman K. Sowe, Koji Zettsu
Human Factors in Cyber-Physical Social Systems: Leveraging Social Sensor Data. EJC (2015)
Minh-Son Dao, Koji Zettsu
Discovering Environmental Impacts on Public Health Using Heterogeneous Big Sensory Data. BigData Congress (2015)
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)
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)
Minh-Son Dao, Koji Zettsu
Automatic Labeling Streaming Data for Event Detection from Heterogeneous Sensors. KSE (2015)
Marco Mesiti, Stefano Valtolina, Luca Ferrari, Minh-Son Dao, Koji Zettsu
An editable live ETL system for Ambient Intelligence environments. WF-IoT (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Koji Zettsu