Koji Zettsu

182 papers A* 3A 5B 27C 20Journal 24Unranked 103
YearRankTypeTitle / Venue / Authors
2026 A conf
Intelligent Tutoring in a Driving Simulator: Enhancing Driving Proficiency With AI-Driven Skill Assessment and Personalized Coaching Generation.
IUI
Wenbin Gan, Minh-Son Dao, Do-Van Nguyen, Sadanori Ito, Koji Zettsu
2026 — conf
SearchLLM: Detecting LLM Paraphrased Text by Measuring the Similarity with Regeneration of the Candidate Source via Search Engine.
EACL (Volume 1: Long Papers)
Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu
2026 J jnl
SearchLLM: Detecting LLM Paraphrased Text by Measuring the Similarity with Regeneration of the Candidate Source via Search Engine.
CoRR
Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu
2025 J jnl
A Novel Depth-First Search Algorithm for Partial Periodic-Frequent Pattern Mining in Temporal Databases.
IEEE Access
Pamalla Veena, Vanitha Kattumuri, Yutaka Watanobe, Rage Uday Kiran, So Nakamura, Palla Likhitha, Koji Zettsu
2025 — conf
Bridging Video and Symbols: A Hybrid AI for Edge Traffic-Risk Reasoning.
ICMI Companion
Minh-Son Dao, Phuong Thi Mai Nguyen, Swe Nwe Nwe Htun, Koji Zettsu
2025 J jnl
Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios.
CoRR
Wenbin Gan, Minh-Son Dao, Koji Zettsu
2025 — conf
Efficient Federated Split Learning on Android Smartphones via Adaptive Offloading Point Mechanism.
ICDAR@ICMR
Pham Duy Thanh, Koji Zettsu
2025 B conf
Efficient Neuro-Symbolic Predictive Modeling for Near-Miss Accident Detection in High-Velocity Video Streams.
IEEE Big Data
Phuong Thi Mai Nguyen, Minh-Son Dao, Swe Nwe Nwe Htun, Koji Zettsu
2025 B conf
FSBridge: Bridging Federated and Split Learning for Next-Generation Edge AI.
IJCNN
Tran Anh Khoa, Minh-Son Dao, Koji Zettsu
2025 J jnl
Periodic-confidence: a null-invariant measure to discover partial periodic patterns in non-uniform temporal databases.
Int. J. Data Sci. Anal.
Rage Uday Kiran, Vipul Chhabra, Saideep Chennupati, Krishna Reddy Polipalli, Minh-Son Dao, Koji Zettsu
2025 — conf
Scalable Federated Split Learning for Smart Mobile and IoT Devices.
FedEdge-AI@MobiCom
Pham Duy Thanh, Tran Anh Khoa, Minh-Son Dao, Koji Zettsu
2025 B conf
Simulated Insight, Real-World Impact: Enhancing Driving Safety with CARLA-Simulated Personalized Lessons and Eye-Tracking Risk Coaching.
ICMI
Wenbin Gan, Minh-Son Dao, Koji Zettsu
2025 — conf
Smart Driving Assistance with Real-Time Risk Assessment and Personalized Driving Coaching to Enhance Road Safety.
MMM (5)
Wenbin Gan, Minh-Son Dao, Koji Zettsu
2025 — conf
TOU: A Truncated-factorized reduction for a lightweight fine-tuning method.
ICDAR@ICMR
Phuong Thi Mai Nguyen, Koji Zettsu
2024 J jnl
3P-ECLAT: mining partial periodic patterns in columnar temporal databases.
Appl. Intell.
Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda, Bathala Venus Vikranth Raj
2024 B conf
Clustering-Enhanced Reinforcement Learning for Adaptive Offloading in Resource-Constrained Devices.
SMARTCOMP
Tran Anh Khoa, Minh-Son Dao, Do-Van Nguyen, Koji Zettsu
2024 — conf
Digital Twin Orchestration: Framework and Smart City Applications.
AI4DT&CP@IJCAI
Do-Van Nguyen, Minh-Son Dao, Koji Zettsu
2024 — conf
Drive-CLIP: Cross-Modal Contrastive Safety-Critical Driving Scenario Representation Learning and Zero-Shot Driving Risk Analysis.
MMM (2)
Wenbin Gan, Minh-Son Dao, Koji Zettsu
2024 — conf
Enhancing Smart Service Development: Embedding Image Recognition Capabilities within the xDataAPI.
ICDAR@ICMR
Sadanori Ito, Koji Zettsu
2024 B conf
Near-Miss Accident Prediction on the Edge: A Real-Time System for Safer Driving.
ICMR
Minh-Son Dao, Koji Zettsu
2024 A* conf
SimLLM: Detecting Sentences Generated by Large Language Models Using Similarity between the Generation and its Re-generation.
EMNLP
Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu
2024 B conf
Spatial-temporal Graph Transformer Network for Spatial-temporal Forecasting.
IEEE Big Data
Minh-Son Dao, Koji Zettsu, Duy-Tang Hoang
2023 J jnl
A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases.
Appl. Intell.
Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava
2023 B conf
AOP: Towards Adaptive Offloading Point Approach in a Federated Learning Framework for Edge AI Applications.
ICPADS
Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu
2023 J jnl
Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style Translation.
CoRR
Hilmil Pradana, Minh-Son Dao, Koji Zettsu
2023 — conf
Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series.
FUZZ
Pamalla Veena, Palla Likhitha, R. Uday Kiran, José María Luna, Philippe Fournier-Viger, Koji Zettsu
2023 — conf
Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases.
PAKDD (3)
Palla Likhitha, Pamalla Veena, Rage Uday Kiran, Koji Zettsu
2023 B conf
Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform.
IEEE Big Data
Minh-Son Dao, Huy Quang Ung, Sadanori Ito, Shinya Wada, Koji Zettsu
2023 J jnl
HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases.
Appl. Intell.
Rage Uday Kiran, Pamalla Veena, Penugonda Ravikumar, Bathala Venus Vikranth Raj, Minh-Son Dao, Koji Zettsu, Sai Chithra Bommisetti
2023 — conf
Leveraging Knowledge Graphs for CheapFakes Detection: Beyond Dataset Evaluation.
ICME Workshops
Minh-Son Dao, Koji Zettsu
2023 B conf
MM-TrafficRisk: A Video-based Fleet Management Application for Traffic Risk Prediction, Prevention, and Querying.
IEEE Big Data
Minh-Son Dao, Muhamad Hilmil Muchtar Aditya Pradana, Koji Zettsu
2023 J jnl
Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements.
IEEE Access
Pamalla Veena, Sreepada Tarun, Rage Uday Kiran, Minh-Son Dao, Koji Zettsu, Yutaka Watanobe, Ji Zhang
2023 — conf
Procedural Driving Skill Coaching from More Skilled Drivers to Safer Drivers: A Survey.
ICDAR@ICMR
Wenbin Gan, Minh-Son Dao, Koji Zettsu
2022 — conf
A Novel Null-Invariant Temporal Measure to Discover Partial Periodic Patterns in Non-uniform Temporal Databases.
DASFAA (1)
R. Uday Kiran, Vipul Chhabra, Saideep Chennupati, P. Krishna Reddy, Minh-Son Dao, Koji Zettsu
2022 B conf
An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios.
IEEE Big Data
Wenbin Gan, Minh-Son Dao, Koji Zettsu
2022 J jnl
An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios.
CoRR
Wenbin Gan, Minh-Son Dao, Koji Zettsu
2022 B conf
Discovering Fuzzy Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases.
FUZZ-IEEE
Pamalla Veena, Penugonda Ravikumar, Kundai Kwangwari, R. Uday Kiran, Kazuo Goda, Yutaka Watanobe, Koji Zettsu
2022 B conf
Discovering Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases.
DSAA
Penugonda Ravikumar, R. Uday Kiran, Palla Likhitha, T. Chandrasekhar, Yutaka Watanobe, Koji Zettsu
2022 — conf
FedMCRNN: Federated Learning using Multiple Convolutional Recurrent Neural Networks for Sleep Quality Prediction.
ICDAR@ICMR
Tran Anh Khoa, Do-Van Nguyen, Phuoc Van Nguyen Thi, Koji Zettsu
2022 B conf
FedProb: An Aggregation Method Based on Feature Probability Distribution for Federated Learning on Non-IID Data.
IEEE Big Data
Do-Van Nguyen, Anh-Khoa Tran, Koji Zettsu
2022 — conf
IoT-based Multimodal Analysis for Smart Education: Current Status, Challenges and Opportunities.
ICDAR@ICMR
Wenbin Gan, Minh-Son Dao, Koji Zettsu, Yuan Sun
2022 C conf
MM-AQI: A Novel Framework to Understand the Associations Between Urban Traffic, Visual Pollution, and Air Pollution.
IEA/AIE
Kazuki Tejima, Minh-Son Dao, Koji Zettsu
2022 B conf
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs.
IEEE Big Data
Wenbin Gan, Minh-Son Dao, Koji Zettsu
2022 J jnl
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs.
CoRR
Wenbin Gan, Minh-Son Dao, Koji Zettsu
2022 — conf
Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases.
ACIIDS (2)
Penugonda Ravikumar, Bathala Venus Vikranth Raj, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda
2022 — conf
Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements.
DEXA (2)
Pamalla Veena, Sreepada Tarun, R. Uday Kiran, Minh-Son Dao, Koji Zettsu, Yutaka Watanobe, Ji Zhang
2022 — conf
Towards Intellectual Property Rights Protection in Big Data.
ICDAR@ICMR
Rafik Hamza, Minh-Son Dao, Sadanori Ito, Koji Zettsu
2022 — conf
UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases.
ICONIP (5)
Palla Likhitha, Rage Veena, Rage Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger
2022 B conf
splitDyn: Federated Split Neural Network for Distributed Edge AI Applications.
IEEE Big Data
Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu
2021 — conf
A Unified Framework to Discover Partial Periodic-Frequent Patterns in Row and Columnar Temporal Databases.
ICDM (Workshops)
Pamalla Veena, So Nakamura, Palla Likhitha, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu
2021 B conf
Discovering Fuzzy Frequent Spatial Patterns in Large Quantitative Spatiotemporal databases.
FUZZ-IEEE
Pamalla Veena, Sai Chithra Bommisetty, R. Uday Kiran, Sonali Agarwal, Koji Zettsu
2021 — conf
Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases.
IEEE BigData
Palla Likhitha, Pamalla Veena, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu
2021 — conf
Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases.
ICONIP (5)
R. Uday Kiran, Palla Likhitha, Minh-Son Dao, Koji Zettsu, Ji Zhang
2021 — conf
Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases.
IEA/AIE (1)
Sai Chithra Bommisetty, Penugonda Ravikumar, Rage Uday Kiran, Minh-Son Dao, Koji Zettsu
2021 — conf
Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases.
IEEE BigData
Pradeep Pallikila, Pamalla Veena, R. Uday Kiran, Ram Avatar, Sadanori Ito, Koji Zettsu, P. Krishna Reddy
2021 — conf
Efficient Discovery of Partial Periodic-Frequent Patterns in Temporal Databases.
DEXA (1)
So Nakamura, R. Uday Kiran, Palla Likhitha, Penugonda Ravikumar, Yutaka Watanobe, Minh-Son Dao, Koji Zettsu, Masashi Toyoda
2021 — conf
Fed xData: A Federated Learning Framework for Enabling Contextual Health Monitoring in a Cloud-Edge Network.
IEEE BigData
Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu
2021 — conf
IMAGE-2-AQI: Aware of the Surrounding Air Qualification by a Few Images.
IEA/AIE (2)
Minh-Son Dao, Koji Zettsu, Rage Uday Kiran
2021 — conf
Improving the Awareness of Sustainable Smart Cities by Analyzing Lifelog Images and IoT Air Pollution Data.
IEEE BigData
Tuan-Vinh La, Minh-Son Dao, Kazuki Tejima, Rage Uday Kiran, Koji Zettsu
2021 — conf
Investigation on Privacy-Preserving Techniques For Personal Data.
ICDAR@ICMR
Rafik Hamza, Koji Zettsu
2021 — conf
MM-trafficEvent: An Interactive Incident Retrieval System for First-view Travel-log Data.
IEEE BigData
Minh-Son Dao, Dinh-Duy Pham, Manh-Phu Nguyen, Thanh-Binh Nguyen, Koji Zettsu
2021 — conf
Models to Predict Sleeping Quality from Activities and Environment: Current Status, Challenges and Opportunities.
ICDAR@ICMR
Thi Phuoc van Nguyen, Do Van Nguyen, Koji Zettsu
2021 — conf
Spatially-distributed Federated Learning of Convolutional Recurrent Neural Networks for Air Pollution Prediction.
IEEE BigData
Do Van Nguyen, Koji Zettsu
2021 — conf
Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases.
IEA/AIE (1)
Penugonda Ravikumar, Likhitha Palla, Rage Uday Kiran, Yutaka Watanobe, Koji Zettsu
2020 — conf
An Interactive Atomic-cluster Watershed-based System for Lifelog Moment Retrieval.
CLEF (Working Notes)
Van-Luon Tran, Trong-Dat Phan, Anh-Vu Mai-Nguyen, Anh-Khoa Vo, Minh-Son Dao, Koji Zettsu
2020 B conf
An Interactive Multimodal Retrieval System for Memory Assistant and Life Organized Support.
ICMR
Van-Luon Tran, Anh-Vu Mai-Nguyen, Trong-Dat Phan, Anh-Khoa Vo, Minh-Son Dao, Koji Zettsu
2020 — conf
BIDAL-HCMUS@LSC2020: An Interactive Multimodal Lifelog Retrieval with Query-to-Sample Attention-based Search Engine.
LSC@ICMR
Anh-Vu Mai-Nguyen, Trong-Dat Phan, Anh-Khoa Vo, Van-Luon Tran, Minh-Son Dao, Koji Zettsu
2020 — conf
Crowd Forecasting at Venues with Microblog Posts Referring to Future Events.
IEEE BigData
Ryotaro Tsukada, Haosen Zhan, Shonosuke Ishiwatari, Masashi Toyoda, Kazutoshi Umemoto, Haichuan Shang, Koji Zettsu
2020 — conf
Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases.
IEEE BigData
Palla Likhitha, Penugonda Ravikumar, R. Uday Kiran, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava
2020 — conf
Discovering Frequent Spatial Patterns in Very Large Spatiotemporal Databases.
SIGSPATIAL/GIS
R. Uday Kiran, Sourabh Shrivastava, Philippe Fournier-Viger, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa
2020 B conf
Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases.
FUZZ-IEEE
R. Uday Kiran, C. Saideep, Penugonda Ravikumar, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
2020 B conf
Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases.
DSAA
R. Uday Kiran, Yutaka Watanobe, Bhaskar Chaudhury, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa
2020 — conf
Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture.
IEEE BigData
R. Uday Kiran, Sadanori Ito, Minh-Son Dao, Koji Zettsu, Cheng-Wei Wu, Yutaka Watanobe, Incheon Paik, Truong Cong Thang
2020 J jnl
Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal Databases.
IEEE Access
R. Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
2020 — conf
From Data Collection Merit to Data Connection Merit for Smart Sustainable Cities.
ICDAR@ICMR
Koji Zettsu
2020 — conf
Fusion-3DCNN-max3P: A dynamic system for discovering patterns of predicted congestion.
IEEE BigData
Minh-Son Dao, Ngoc-Thanh Nguyen, R. Uday Kiran, Koji Zettsu
2020 — conf
Insights From Urban Sensing Data: From Chaos to Predicted Congestion Patterns.
ICDM (Workshops)
Minh-Son Dao, Ngoc-Thanh Nguyen, R. Uday Kiran, Koji Zettsu
2020 — conf
Leverage the Predictive Power Score of Lifelog Data's Attributes to Predict the Expected Athlete Performance.
CLEF (Working Notes)
Anh-Vu Mai-Nguyen, Van-Luon Tran, Minh-Son Dao, Koji Zettsu
2020 — conf
Leveraging 3D-Raster-Images and DeepCNN with Multi-source Urban Sensing Data for Traffic Congestion Prediction.
DEXA (2)
Ngoc-Thanh Nguyen, Minh-Son Dao, Koji Zettsu
2020 J jnl
Lifelog Moment Retrieval With Interactive Watershed-Based Clustering and Hierarchical Similarity Search.
Int. J. Multim. Data Eng. Manag.
Trong-Dat Phan, Minh-Son Dao, Koji Zettsu
2020 — conf
MASTGN: Multi-Attention Spatio-Temporal Graph Networks for Air Pollution Prediction.
IEEE BigData
Peijiang Zhao, Koji Zettsu
2020 C conf
Parallel Mining of Partial Periodic Itemsets in Big Data.
IEA/AIE
C. Saideep, R. Uday Kiran, Koji Zettsu, Cheng-Wei Wu, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa
2019 — conf
An Interactive Watershed-Based Approach for Lifelog Moment Retrieval.
BigMM
Trong-Dat Phan, Minh-Son Dao, Koji Zettsu
2019 — conf
Association Model between Visual Feature and AQI Rank Using Lifelog Data.
IEEE BigData
Phuong-Binh Vo, Trong-Dat Phan, Minh-Son Dao, Koji Zettsu
2019 — conf
BIDAL@imageCLEFlifelog2019: The Role of Content and Context of Daily Activities in Insights from Lifelogs.
CLEF (Working Notes)
Minh-Son Dao, Anh-Khoa Vo, Trong-Dat Phan, Koji Zettsu
2019 — conf
City Geospatial Dashboard: IoT and Big Data Analytics for Geospatial Solutions Provider in Disaster Management.
ICT-DM
Ko Ko Lwin, Yoshihide Sekimoto, Wataru Takeuchi, Koji Zettsu
2019 — conf
Complex Event Analysis for Traffic Risk Prediction based on 3D-CNN with Multi-sources Urban Sensing Data.
IEEE BigData
Ngoc-Thanh Nguyen, Minh-Son Dao, Koji Zettsu
2019 — conf
Decoder Transfer Learning for Predicting Personal Exposure to Air Pollution.
IEEE BigData
Peijiang Zhao, Koji Zettsu
2019 — conf
Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases.
IEEE BigData
R. Uday Kiran, C. Saideep, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
2019 — conf
Discovering Periodic Patterns in Irregular Time Series.
ICDM Workshops
C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, P. Krishna Reddy
2019 — conf
Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases.
BDA
P. P. C. Reddy, R. Uday Kiran, Koji Zettsu, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa
2019 B conf
Discovering Spatial High Utility Itemsets in Spatiotemporal Databases.
SSDBM
R. Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger, P. Krishna Reddy, Masaru Kitsuregawa
2019 — conf
Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases.
ICDM Workshops
Rage Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
2019 — conf
From Chaos to Order: The Role of Content and Context of Daily Activities in Rearranging Lifelogs Data.
BigMM
Anh-Khoa Vo, Minh-Son Dao, Koji Zettsu
2019 — conf
Multi-time-horizon Traffic Risk Prediction using Spatio-Temporal Urban Sensing Data Fusion.
IEEE BigData
Minh-Son Dao, Ngoc-Thanh Nguyen, Koji Zettsu
2019 — conf
Overview of MediaEval 2019: Insights for Wellbeing TaskMultimodal Personal Health Lifelog Data Analysis.
MediaEval
Minh-Son Dao, Peijiang Zhao, Tomohiro Sato, Koji Zettsu, Duc-Tien Dang-Nguyen, Cathal Gurrin, Ngoc-Thanh Nguyen
2019 — conf
Report on a Hackathon for Car Navigation Using Traffic Risk Data.
MLMI
Sadanori Ito, Koji Zettsu
2019 — conf
SEPHLA: Challenges and Opportunities Within Environment - Personal Health Archives.
MMM (1)
Tomohiro Sato, Minh-Son Dao, Kota Kuribayashi, Koji Zettsu
2019 — conf
Transforming Sensing Data into Smart Data for Smart Sustainable Cities.
BDA
Koji Zettsu
2018 — conf
A Raster-Image-Based Approach for Understanding Associations of Urban Sensing Data.
AIKE
Minh-Son Dao, Koji Zettsu
2018 — conf
Complex Event Analysis of Urban Environmental Data based on Deep CNN of Spatiotemporal Raster Images.
IEEE BigData
Minh-Son Dao, Koji Zettsu
2018 — conf
Convolution Recurrent Neural Networks for Short-Term Prediction of Atmospheric Sensing Data.
iThings/GreenCom/CPSCom/SmartData
Peijiang Zhao, Koji Zettsu
2017 — conf
Discovering co-occurrence patterns of heterogeneous events from unevenly-distributed spatiotemporal data.
IEEE BigData
Hung Tran-The, Koji Zettsu
2017 — conf
Finding Spatiotemporal Co-occurrence Patterns of Heterogeneous Events for Prediction.
EM-GIS
Hung Tran-The, Koji Zettsu
2016 A* conf
Analysis of Long-Term and Large-Scale Experiments on Robot Dialogues Using a Cloud Robotics Platform.
HRI
Komei Sugiura, Koji Zettsu
2016 J jnl
Cyber-Physical-Human Systems: Putting People in the Loop.
IT Prof.
Sulayman K. Sowe, Eric Simmon, Koji Zettsu, Frederic J. de Vaulx, Irena Bojanova
2016 J jnl
Dynamically pre-trained deep recurrent neural networks using environmental monitoring data for predicting PM2.5.
Neural Comput. Appl.
Bun Theang Ong, Komei Sugiura, Koji Zettsu
2016 J jnl
Space-time multiple regression model for grid-based population estimation in urban areas.
Int. J. Geogr. Inf. Sci.
Ko Ko Lwin, Komei Sugiura, Koji Zettsu
2016 B conf
streamLoader: An Event-Driven ETL System for the On-line Processing of Heterogeneous Sensor Data.
EDBT
Marco Mesiti, Luca Ferrari, Stefano Valtolina, Giacomo Licari, Gian Luca Galliani, Minh-Son Dao, Koji Zettsu
2015 — conf
An editable live ETL system for Ambient Intelligence environments.
WF-IoT
Marco Mesiti, Stefano Valtolina, Luca Ferrari, Minh-Son Dao, Koji Zettsu
2015 — conf
Automatic Labeling Streaming Data for Event Detection from Heterogeneous Sensors.
KSE
Minh-Son Dao, Koji Zettsu
2015 — conf
Constrained region selection method based on configuration space for visualization in scientific dataset search.
IEEE BigData
Shin'ichi Takeuchi, Komei Sugiura, Yuhei Akahoshi, Koji Zettsu
2015 J jnl
Designing a Cyber-Physical Cloud Computing Architecture.
IT Prof.
Eric Simmon, Sulayman K. Sowe, Koji Zettsu
2015 — conf
Discovering Environmental Impacts on Public Health Using Heterogeneous Big Sensory Data.
BigData Congress
Minh-Son Dao, Koji Zettsu
2015 — conf
Exploring spatio-temporal-theme correlation between physical and social streaming data for event detection and pattern interpretation from heterogeneous sensors.
IEEE BigData
Minh-Son Dao, Koji Zettsu, Siripen Pongpaichet, Laleh Jalali, Ramesh C. Jain
2015 — conf
Geovisualization and correlation analysis between geotagged Twitter and JMA rainfall data: Case of heavy rain disaster in Hiroshima.
ICSDM
Ko Ko Lwin, Koji Zettsu, Komei Sugiura
2015 C conf
Human Factors in Cyber-Physical Social Systems: Leveraging Social Sensor Data.
EJC
Sulayman K. Sowe, Koji Zettsu
2015 A conf
Rospeex: A cloud robotics platform for human-robot spoken dialogues.
IROS
Komei Sugiura, Koji Zettsu
2015 — conf
Towards an Open Data Development Model for Linking Heterogeneous Data Sources.
KSE
Sulayman K. Sowe, Koji Zettsu
2015 — conf
User-Centered Event Data Modelling and Analytics.
CoPDA@IS-EUD
Stefano Valtolina, Marco Mesiti, Luca Ferrari, Koji Zettsu, Minh-Son Dao
2014 J jnl
Curating Big Data Made Simple: Perspectives from Scientific Communities.
Big Data
Sulayman K. Sowe, Koji Zettsu
2014 — conf
Dynamic pre-training of Deep Recurrent Neural Networks for predicting environmental monitoring data.
IEEE BigData
Bun Theang Ong, Komei Sugiura, Koji Zettsu
2014 — conf
Managing Heterogeneous Sensor Data on a Big Data Platform: IoT Services for Data-Intensive Science.
COMPSAC Workshops
Sulayman K. Sowe, Takashi Kimata, Mianxiong Dong, Koji Zettsu
2014 J jnl
Provenance-Based Security Risk Assessment Framework.
J. Inf. Process.
Guillermo Horacio Ramirez Caceres, Koji Zettsu
2014 J jnl
Quality-of-Experience (QoE) in Emerging Mobile Social Networks.
IEICE Trans. Inf. Syst.
Mianxiong Dong, Takashi Kimata, Komei Sugiura, Koji Zettsu
2014 — conf
Service-Controlled Networking: Dynamic In-Network Data Fusion for Heterogeneous Sensor Networks.
SRDS Workshops
Mianxiong Dong, Takashi Kimata, Koji Zettsu
2014 — conf
Spatio-temporal Pseudo Relevance Feedback for Large-Scale and Heterogeneous Scientific Repositories.
BigData Congress
Shin'ichi Takeuchi, Yuhei Akahoshi, Bun Theang Ong, Komei Sugiura, Koji Zettsu
2013 — conf
A model for creating and sustaining information services platform communities: Lessons learnt from open source software.
Kaleidoscope
Sulayman K. Sowe, Koji Zettsu, Yohei Murakami
2013 C conf
Collaborative development of data curation profiles on a wiki platform: experience from free and open source software projects and communities.
OpenSym
Sulayman K. Sowe, Koji Zettsu
2013 — conf
Complementary Integration of Heterogeneous Crowd-Sourced Datasets for Enhanced Social Analytics.
MDM (2)
Ryong Lee, Kyoung-Sook Kim, Komei Sugiura, Koji Zettsu, Yutaka Kidawara
2013 J jnl
Context-sensitive Web service discovery over the bipartite graph model.
Frontiers Comput. Sci.
Rong Zhang, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki, Aoying Zhou
2013 J jnl
Foreword.
IEICE Trans. Inf. Syst.
Koji Zettsu
2013 — conf
Searching inter-disciplinary scientific big data based on latent correlation analysis.
IEEE BigData
Eloy Gonzales, Bun Theang Ong, Koji Zettsu
2013 — conf
The Architecture and Design of a Community-Based Cloud Platform for Curating Big Data.
CyberC
Sulayman K. Sowe, Koji Zettsu
2013 — conf
Utterance Classification Using Linguistic and Non-linguistic Information for Network-Based Speech-to-Speech Translation Systems.
MDM (2)
Komei Sugiura, Ryong Lee, Hideki Kashioka, Koji Zettsu, Yutaka Kidawara
2012 — conf
Data-Centered Service Composition for Information Analysis.
IEEE SCC
Yohei Murakami, Masahiro Tanaka, Arif Bramantoro, Koji Zettsu
2012 — conf
Data-Intensive Services for Large-Scale Archive Access.
IEEE SCC
Masahiro Tanaka, Yohei Murakami, Koji Zettsu
2012 A conf
Towards Service Atomization for Analyzing Information.
ICWS
Arif Bramantoro, Toru Kamada, Masahiro Tanaka, Yohei Murakami, Koji Zettsu
2012 — conf
Web Service Ranking Based on Context.
CGC
Rong Zhang, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2011 — conf
Context-Sensitive Query Expansion over the Bipartite Graph Model for Web Service Search.
DASFAA (1)
Rong Zhang, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2011 J jnl
Interconnection of heterogeneous knowledge bases and its application on Knowledge Grid.
Concurr. Comput. Pract. Exp.
Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2011 C conf
Structural Approach to Service Composition Based on Relational Model.
EJC
Yuhei Akahoshi, Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka
2010 C conf
A Phenomena-of-Interest Approach for the Interconnection of Sensor Data and Spatiotemporal Web Contents.
EJC
Kyoung-Sook Kim, Takafumi Nakanishi, Hidenori Homma, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2010 C conf
A Three-layered Architecture for Event-centric Interconnections among Heterogeneous Data Repositories and its Application to Space Weather.
EJC
Takafumi Nakanishi, Hidenori Homma, Kyoung-Sook Kim, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2010 — conf
A relation-based services management mechanism for service computing.
IUCS
Yuhei Akahoshi, Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka
2010 — conf
Exploiting Service Context for Web Service Search Engine.
WAIM
Rong Zhang, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2010 C conf
Future Directions of Knowledge Systems Environments for Web 3.0.
EJC
Koji Zettsu, Bernhard Thalheim, Yutaka Kidawara, Elina Karttunen, Hannu Jaakkola
2010 — conf
Phenomena-Based Management of Geotime-Tagged Contents on the Web.
DBKDA
Kyoung-Sook Kim, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2010 C conf
StickViz: A New Visualization Tool for Phenomenon-Based k-Neighbors Searches in Geosocial Networking Services.
APWeb
Kyoung-Sook Kim, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2009 C conf
A Context Dependent Dynamic Interconnection Method of Heterogeneous Knowledge Bases by Interrelation Management Function.
EJC
Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2009 — conf
Context-Based Web Service Clustering.
SKG
Rong Zhang, Koji Zettsu, Takafumi Nakanishi, Yutaka Kidawara, Yasushi Kiyoki
2009 C conf
Knowledge Modeling, Management and Utilization towards Next Generation Web.
EJC
Yutaka Kidawara, Koji Zettsu, Yasushi Kiyoki, Kai Jannaschk, Bernhard Thalheim, Petri Linna, Hannu Jaakkola, Marie Duzí
2009 C conf
Moving Phenomenon: Aggregation and Analysis of Geotime-Tagged Contents on the Web.
W2GIS
Kyoung-Sook Kim, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2009 — conf
SAVVY Wiki: a context-oriented collaborative knowledge management system.
Int. Sym. Wikis
Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2009 — conf
SAVVY: A Semantic Associative Browsing System for Heterogeneous Knowledge Resources.
HICSS
Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2009 — conf
SOBEX: distributed service Search engine that exploits service cOllaBoration contEXt.
IUCS
Rong Zhang, Koji Zettsu, Takafumi Nakanishi, Yutaka Kidawara, Yasushi Kiyoki
2009 B conf
Sticker: Searching and Aggregating User-Generated Contents along with Trajectories of Moving Phenomena.
Mobile Data Management
Kyoung-Sook Kim, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2009 — conf
Towards moving phenomena data management.
IUCS
Koji Zettsu, Kyoung-Sook Kim, Yutaka Kidawara, Yasushi Kiyoki
2008 — conf
A Vector Space Model on Hierarchical Structures with Dynamic Mapping Operator Creation.
Web Intelligence/IAT Workshops
Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2008 — conf
Approaching the Interconnection of Heterogeneous Knowledge Bases on a Knowledge Grid.
SKG
Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2008 J jnl
Decentralized architecture for resource management of group-based distributed systems.
Frontiers Comput. Sci. China
Rong Zhang, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2008 — conf
Dynamic Cross-domain Link Creation for Interconnection of Heterogeneous Knowledge Bases.
ISUC
Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki
2008 C conf
Information Modelling and Global Risk Management Systems.
EJC
Hannu Jaakkola, Bernhard Thalheim, Yutaka Kidawara, Koji Zettsu, Xing Chen, Anneli Heimbürger
2008 A* conf
KC3 browser: semantic mash-up and link-free browsing.
WWW
Michiaki Iwazume, Ken Kaneiwa, Koji Zettsu, Takafumi Nakanishi, Yutaka Kidawara, Yasushi Kiyoki
2008 B conf
Spoken Dialog System for Next Generation Knowledge Access.
MDM
Hideki Kashioka, Susumu Akamine, Takafumi Nakanishi, Hisashi Miyamori, Koji Zettsu, Yutaka Kidawara, Satoshi Nakamura
2007 C conf
Knowledge Cluster Systems for Knowledge Sharing, Analysis and Delivery among Remote Sites.
EJC
Koji Zettsu, Takafumi Nakanishi, Michiaki Iwazume, Yutaka Kidawara, Yasushi Kiyoki
2006 — conf
Reconfigurable Search Engine for Exploiting Search Knowledge.
C5
Koji Zettsu, Katsumi Tanaka
2006 B conf
Towards Knowledge Management Based on Harnessing Collective Intelligence on the Web.
EKAW
Koji Zettsu, Yasushi Kiyoki
2006 B conf
u-Cam: A User-Driven Control Mechanism for Ubiquitous Cameras and Its Content Management.
MDM
Shumian He, Yukiko Kawai, Yutaka Kidawara, Koji Zettsu, Katsumi Tanaka
2006 B conf
u-Cam: Ubiquitous Camera in Real World with User-Driven Control.
MDM
Shumian He, Yukiko Kawai, Koji Zettsu, Katsumi Tanaka
2005 C conf
ImageAspect Finder/Difference-Amplifier: Focusing on Peripheral Information for Image Search and Browsing.
APWeb
Shinsuke Nakajima, Koji Zettsu
2005 — conf
Referential Context Mining: Discovering Viewpoints from the Web.
Web Intelligence
Koji Zettsu, Katsumi Tanaka
2004 C conf
Aspect Discovery: Web Contents Characterization by Their Referential Contexts.
APWeb
Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka
2004 C conf
Device Cooperative Web Browsing and Retrieving Mechanism on Ubiquitous Networks.
DEXA
Yutaka Kidawara, Koji Zettsu, Tomoyuki Uchiyama, Katsumi Tanaka
2004 B conf
Discovering Aspects of Web Pages from Their Referential Contexts in the Web.
DASFAA
Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka
2004 A conf
Discovering aspect-based correlation of Web contents for cross-media information retrieval.
ICME
Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka
2004 C conf
Guiding Web Search by Third-party Viewpoints: Browsing Retrieval Results by Referential Contexts in Web.
DEXA
Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka
2004 — conf
Operating Mechanism for Device Cooperative Content on Ubiquitous Network.
C5
Yutaka Kidawara, Koji Zettsu
2004 A conf
WebBoard: a new display and browsing concept for Web content in public areas.
ICME
Yutaka Kidawara, Koji Zettsu
2003 C conf
Image Retrieval by Web Context: Filling the Gap between Image Keywords and Usage Keywords.
DEXA
Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka
1998 — conf
Semantic Structures for Video Data Indexing.
AMCP
Koji Zettsu, Kuniaki Uehara, Katsumi Tanaka
1997 C conf
A Time-Stamped Authoring Graph for Video Databases.
DEXA
Koji Zettsu, Kuniaki Uehara, Katsumi Tanaka, Nobuo Kimura