Edge potential functions and genetic algorithms for shape-based image retrieval. - Minh-Son Dao; Francesco G. B. De Natale; Andrea Massa (ICIP (3), 2003)

MPEG-4 Video Retrieval Using Video-Objects and Edge Potential Functions. - Minh-Son Dao; Francesco G. B. De Natale; Andrea Massa (PCM (3), 2004)

Efficient Shape Matching Using Weighted Edge Potential Functions. - Minh-Son Dao; Francesco G. B. De Natale; Andrea Massa (ICIAP, 2005)

Ontology Based Shape Annotation and Retrieval. - Olga Symonova; Minh-Son Dao; Giuliana Ucelli; Raffaele De Amicis (C&O@ECAI, 2006)

Topological Descriptor for CAD Model with Inner Cavities. - Olga Symonova; Minh-Son Dao; Raffaele De Amicis; Giuliana Ucelli (Eurographics Italian Chapter Conference, 2006)

A New Method for Boundary-Based Shape Matching and Retrieval. - Minh-Son Dao; Raffaele De Amicis (ICIP, 2006)

A fusion method of geometric and topological features for boundary-based shape matching and retrieval. - Minh-Son Dao; Raffaele De Amicis (MMSP, 2006)

Edge Potential Functions (EPF) and Genetic Algorithms (GA) for Edge-Based Matching of Visual Objects. - Minh-Son Dao; Francesco G. B. De Natale; Andrea Massa (IEEE Trans. Multim., 2007)

Sports event detection using temporal patterns mining and web-casting text. - Minh-Son Dao; Noboru Babaguchi (AREA, 2008)

Mining temporal information and web-casting textfor automatic sports event detection. - Minh-Son Dao; Noboru Babaguchi (MMSP, 2008)

A New Linguistic-Perceptual Event Model for Spatio-Temporal Event Detection and Personalized Retrieval of Sports Video. - Minh-Son Dao; Sharma Ishan Nath; Noboru Babaguchi (ICIAP, 2009)

Preserving topological information in sub-trajectories-based representation for spatio-temporal trajectories indexing and retrieval. - Minh-Son Dao; Sharma Ishan Nath; Noboru Babaguchi (ACM Multimedia, 2009)

Modeling visual information by spatio-temporal patterns to analyze event tactic in sports video. - Keita Masui; Minh-Son Dao; Noboru Babaguchi (EUVIP, 2010)

Event tactic analysis in sports video using spatio-temporal pattern. - Minh-Son Dao; Keita Masui; Noboru Babaguchi (ICIP, 2010)

A new spatio-temporal method for event detection and personalized retrieval of sports video. - Minh-Son Dao; Noboru Babaguchi (Multim. Tools Appl., 2010)

Signature-image-based event analysis for personal photo albums. - Minh-Son Dao; Duc-Tien Dang-Nguyen; Francesco G. B. De Natale (ACM Multimedia, 2011)

Abandoned Object's Owner Detection: A Case Study of Hybrid Mobile-Fixed Video Surveillance System. - Minh-Son Dao; Riccardo Mattivi; Francesco G. B. De Natale; Keita Masui; Noboru Babaguchi (AVSS, 2012)

The Watershed-based Social Events Detection Method with Support from External Data Sources. - Minh-Son Dao; Truc-Vien Nguyen; Giulia Boato; Francesco G. B. De Natale (MediaEval, 2012)

Discovering inherent event taxonomies from social media collections. - Minh-Son Dao; Giulia Boato; Francesco G. B. De Natale (ICMR, 2012)

Event Clustering and Classification from Social Media: Watershed-based and Kernel Methods. - Truc-Vien Nguyen; Minh-Son Dao; Riccardo Mattivi; Emanuele Sansone; Francesco G. B. De Natale; Giulia Boato (MediaEval, 2013)

Jointly exploiting visual and non-visual information for event-related social media retrieval. - Minh-Son Dao; Giulia Boato; Francesco G. B. De Natale; Truc-Vien Nguyen (ICMR, 2013)

Unsupervised social media events clustering using user-centric parallel split-n-merge algorithms. - Minh-Son Dao; Anh Duc Duong; Francesco G. B. De Natale (ICASSP, 2014)

Natural Language Processing for Social Event Classification. - Duc-Duy Nguyen; Minh-Son Dao; Truc-Vien T. Nguyen (KSE, 2014)

Synchronizing Multi-User Photo Galleries with MRF. - Emanuele Sansone; Giulia Boato; Minh-Son Dao (MediaEval, 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)

Robust event discovery from photo collections using Signature Image Bases (SIBs). - Minh-Son Dao; Duc-Tien Dang-Nguyen; Francesco G. B. De Natale (Multim. Tools Appl., 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)

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

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

Smart Lifelogging: Recognizing Human Activities using PHASOR. - Minh-Son Dao; Duc-Tien Dang-Nguyen; Michael Riegler 001; Cathal Gurrin (ICPRAM, 2017)

A Domain-based Late-Fusion for Disaster Image Retrieval from Social Media. - Minh-Son Dao; Minh Pham Quang Nhat; Duc-Tien Dang-Nguyen (MediaEval, 2017)

Introduction to Special Issue on Deep Learning for Mobile Multimedia. - Kaoru Ota; Minh-Son Dao; Vasileios Mezaris; Francesco G. B. De Natale (ACM Trans. Multim. Comput. Commun. Appl., 2017)

Deep Learning for Mobile Multimedia: A Survey. - Kaoru Ota; Minh-Son Dao; Vasileios Mezaris; Francesco G. B. De Natale (ACM Trans. Multim. Comput. Commun. Appl., 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)

Leveraging Content and Context in Understanding Activities of Daily Living. - Minh-Son Dao; Asem Kasem; Mohamed Saleem Haja Nazmudeen (CLEF (Working Notes), 2018)

HealthyClassroom - A Proof-of-Concept Study for Discovering Students' Daily Moods and Classroom Emotions to Enhance a Learning-teaching Process using Heterogeneous Sensors. - Minh-Son Dao; Duc-Tien Dang-Nguyen; Asem Kasem; Hung Tran-The (ICPRAM, 2018)

A Context-Aware Late-Fusion Approach for Disaster Image Retrieval from Social Media. - Minh-Son Dao; Pham Quang Nhat Minh; Asem Kasem; Mohamed Saleem Haja Nazmudeen (ICMR, 2018)

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

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)

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)

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

IEEE Access Special Section Editorial: Multimedia Analysis for Internet-of-Things. - Zhihan Lv; Irfan Mehmood; Mario Vento; Minh-Son Dao; Kaoru Ota; Alessia Saggese (IEEE Access, 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)

Multi-source Machine Learning for AQI Estimation. - Dat Q. Duong; Quang M. Le; Tan-Loc Nguyen-Tai; Dong Bo; Dat Nguyen; Minh-Son Dao; Binh T. Nguyen 001 (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)

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)

MNR-HCM Data: A Personal Lifelog and Surrounding Environment Dataset in Ho-Chi-Minh City, Viet Nam. - Tan-Loc Nguyen-Tai; Dang-Hieu Nguyen; Minh-Tam Nguyen; Thanh-Duong Nguyen; Thanh-Hai Dang; Minh-Son Dao (ICDAR@ICMR, 2020)

Duplicate Identification Algorithms in SaaS Platforms. - Dac H. Nguyen; Quy H. Nguyen; Minh-Son Dao; Duc-Tien Dang-Nguyen; Cathal Gurrin; Binh T. Nguyen 001 (ICDAR@ICMR, 2020)

Malware Detection Using System Logs. - Nhu T. Nguyen; Thuy T. Pham; Tien X. Dang; Minh-Son Dao; Duc-Tien Dang-Nguyen; Cathal Gurrin; Binh T. Nguyen 001 (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)

Overview of MediaEval 2020 Insights for Wellbeing: Multimodal Personal Health Lifelog Data Analysis. - Peijiang Zhao; Minh-Son Dao; Thanh Nguyen; Nguyen Thanh Binh 001; Duc-Tien Dang-Nguyen; Cathal Gurrin (MediaEval, 2020)

A Framework for Paper Submission Recommendation System. - Dinh V. Cuong; Dac H. Nguyen; Son Huynh; Phong Huynh; Cathal Gurrin; Minh-Son Dao; Duc-Tien Dang-Nguyen; Binh T. Nguyen 001 (ICMR, 2020)

ICDAR'20: Intelligent Cross-Data Analysis and Retrieval. - Minh-Son Dao; Morten Fjeld; Filip Biljecki; Uraz Yavanoglu; Mianxiong Dong (ICMR, 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 Active Learning Framework for Duplicate Detection in SaaS Platforms. - Quy H. Nguyen; Dac H. Nguyen; Minh-Son Dao; Duc-Tien Dang-Nguyen; Cathal Gurrin; Binh T. Nguyen 001 (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)

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)

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 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)

Overview of Insight for Wellbeing Task at MediaEval 2021: Cross-Data Analytics for Transboundary Haze Prediction. - Asem Kasem; Minh-Son Dao; Effa Nabilla Aziz; Duc-Tien Dang-Nguyen; Cathal Gurrin; Minh-Triet Tran; Nguyen Thanh Binh 001; Wida Suhaili (MediaEval, 2021)

Session details: Keynote & Invited Talks. - Minh-Son Dao (ICDAR@ICMR, 2021)

ICDAR'21: Intelligent Cross-Data Analysis and Retrieval. - Minh-Son Dao; Michael Alexander Riegler; Duc-Tien Dang-Nguyen; Cathal Gurrin; Minh-Triet Tran; Nguyen Thanh Binh 001 (ICMR, 2021)

MNR-Air: An Economic and Dynamic Crowdsourcing Mechanism to Collect Personal Lifelog and Surrounding Environment Dataset. A Case Study in Ho Chi Minh City, Vietnam. - Dang-Hieu Nguyen; Loc Tai Nguyen Tan; Minh-Tam Nguyen; Thanh-Binh Nguyen; Minh-Son Dao (MMM (2), 2021)

An Effective AQI Estimation Using Sensor Data and Stacking Mechanism. - Dat Q. Duong; Quang M. Le; Tan-Loc Nguyen-Tai; Hien D. Nguyen 002; Minh-Son Dao; Binh T. Nguyen 001 (SoMeT, 2021)

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)

3D-STGPCN: 3D Spatio-Temporal Graph Point-wise Convolutional Network for Traffic Forecasting. - Manh-Phu Nguyen; Minh-Son Dao; Thanh-Binh Nguyen (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)

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)

Federated Learning for Air Quality Index Prediction: An Overview. - Duy-Dong Le; Anh-Khoa Tran; Minh-Son Dao; Mohamed Saleem Haja Nazmudeen; Viet-Tiep Mai; Nhat-Ha Su (KSE, 2022)

Adaptive Learning Models for Getting Insights into Multimodal Lifelog Data. - Phuc-Thinh Nguyen; Mohamed Saleem Haja Nazmudeen; Minh-Son Dao; Duy-Dong Le (KSE, 2022)

Overview of MediaEval 2022 Urban Air: Urban Life and Air Pollution. - Minh-Son Dao; Thanh-Hai Dang; Tan-Loc Nguyen-Tai; Nguyen Thanh Binh 001; Duc-Tien Dang-Nguyen (MediaEval, 2022)

ICDAR'22: Intelligent Cross-Data Analysis and Retrieval. - Minh-Son Dao; Michael Alexander Riegler; Duc-Tien Dang-Nguyen; Cathal Gurrin; Yuta Nakashima; Mianxiong Dong (ICMR, 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)

Multimodal Cheapfakes Detection by Utilizing Image Captioning for Global Context. - Tuan-Vinh La; Quang-Tien Tran; Thanh-Phuc Tran; Anh-Duy Tran; Duc-Tien Dang-Nguyen; Minh-Son Dao (ICDAR@ICMR, 2022)

A Combination of Visual-Semantic Reasoning and Text Entailment-based Boosting Algorithm for Cheapfake Detection. - Tuan-Vinh La; Minh-Son Dao; Quang-Tien Tran; Thanh-Phuc Tran; Anh-Duy Tran; Duc-Tien Dang-Nguyen (ACM Multimedia, 2022)

A Textual-Visual-Entailment-based Unsupervised Algorithm for Cheapfake Detection. - Quang-Tien Tran; Thanh-Phuc Tran; Minh-Son Dao; Tuan-Vinh La; Anh-Duy Tran; Duc-Tien Dang-Nguyen (ACM Multimedia, 2022)

Insights into Multi-Model Federated Learning: An Advanced Approach for Air Quality Index Forecasting. - Le Duy Dong; Tran Anh Khoa; Minh-Son Dao; Kieu-Chinh Nguyen-Ly; Hoang-Son Le; Xuan-Dao Nguyen-Thi; Thanh-Qui Pham; Van-Luong Nguyen; Bach-Yen Nguyen-Thi (Algorithms, 2022)

Leverage Boosting and Transformer on Text-Image Matching for Cheap Fakes Detection. - Tuan-Vinh La; Minh-Son Dao; Le Duy Dong; Kim-Phung Thai; Nguyen Quoc Hung; Thuy-Kieu Phan-Thi (Algorithms, 2022)

Multimodal and Crossmodal AI for Smart Data Analysis. - Minh-Son Dao (CoRR, 2022)

Research on privacy-preserving techniques in the era of the 5G applications. - Rafik Hamza; Minh-Son Dao (Virtual Real. Intell. Hardw., 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)

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

Detecting Cheapfakes using Self-Query Adaptive-Context Learning. - Kha-Luan Pham; Manh-Thien Nguyen; Anh-Duy Tran; Minh-Son Dao; Duc-Tien Dang-Nguyen (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)

Air Pollution Forecasting Using Multimodal Data. - Minh-Anh Ton-Thien; Chuong Thi Nguyen; Quang M. Le; Dat Q. Duong; Minh-Son Dao; Binh T. Nguyen 001 (IEA/AIE (2), 2023)

Federated Learning in Smart Agriculture: An Overview. - Duy-Dong Le; Minh-Son Dao; Anh-Khoa Tran; Thai-Binh Nguyen; Hong-Gam Le-Thi (KSE, 2023)

ICDAR'23: Intelligent Cross-Data Analysis and Retrieval. - Guillaume Habault; Minh-Son Dao; Michael Alexander Riegler; Duc-Tien Dang-Nguyen; Yuta Nakashima; Cathal Gurrin (ICMR, 2023)

A Cross-modal Attention Model for Fine-Grained Incident Retrieval from Dashcam Videos. - Dinh-Duy Pham; Minh-Son Dao; Thanh-Binh Nguyen (MMM (1), 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)

Grand Challenge On Detecting Cheapfakes. - Duc-Tien Dang-Nguyen; Sohail Ahmed Khan; Cise Midoglu; Michael Riegler 001; Pål Halvorsen; Minh-Son Dao (CoRR, 2023)

Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs. - Phuc-Thinh Nguyen; Minh-Son Dao; Michael A. Riegler; Rage Uday Kiran; Thai-Thinh Dang; Duy-Dong Le; Kieu-Chinh Nguyen-Ly; Thanh-Qui Pham; Van-Luong Nguyen (Algorithms, 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)

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)

xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for Long-Term Traffic Prediction. - Huy Quang Ung; Hao Niu; Minh-Son Dao; Shinya Wada; Atsunori Minamikawa (MDM, 2024)

Overview of the Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024. - Duc-Tien Dang-Nguyen; Sohail Ahmed Khan; Michael Riegler 001; Pål Halvorsen; Anh-Duy Tran; Minh-Son Dao; Minh-Triet Tran (ICMR, 2024)

ICDAR 24: Intelligent Cross-Data Analysis and Retrieval. - Minh-Son Dao; Michael Alexander Riegler; Duc-Tien Dang-Nguyen; Hanh-Nhi Tran; Rage Uday Kiran; Takahiro Komamizu (ICMR, 2024)

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

TeGA: A Text-Guided Generative-based Approach in Cheapfake Detection. - Anh-Thu Le; Minh-Dat Nguyen; Minh-Son Dao; Anh-Duy Tran; Duc-Tien Dang-Nguyen (ICMR, 2024)

Detecting Out-of-Context Media with LLaMa-Adapter V2 and RoBERTa: An Effective Method for Cheapfakes Detection. - Hoa-Vien Vo-Hoang; Long-Khanh Pham; Minh-Son Dao (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)

Exploring Convolutional Neural Network Architectures for EEG Feature Extraction. - Ildar Rakhmatulin; Minh-Son Dao; Amir Nassibi; Danilo P. Mandic (Sensors, 2024)

ROAD-6: A Diverse Dataset for Unexpected Hazard Recognition in Autonomous Vehicles. - Shehzad Ali; Md Tanvir Islam; Minh-Son Dao; Ik Hyun Lee; Shuai Liu 009; Khan Muhammad 001 (ICMR, 2025)

ICDAR 25: Intelligent Cross-Data Analysis and Retrieval. - Takahiro Komamizu; Marc A. Kastner 001; Minh-Son Dao; Michael Alexander Riegler; Duc-Tien Dang-Nguyen; Son Tran (ICMR, 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)

KGAlign: Joint Semantic-Structural Knowledge Encoding for Multimodal Fake News Detection. - Tuan-Vinh La; Minh-Hieu Nguyen; Minh-Son Dao (CoRR, 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)

E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs. - Van-Hoang Phan; Long-Khanh Pham; Dang Vu; Anh-Duy Tran; Minh-Son Dao (CoRR, 2025)

Multimodal scene-graph matching for cheapfakes detection. - Minh-Tam Nguyen; Quynh T. Nguyen; Minh-Son Dao; Binh T. Nguyen (Int. J. Multim. Inf. Retr., 2025)

Fact-Checking at Scale: Multimodal AI for Authenticity and Context Verification in Online Media. - Van-Hoang Phan; Tung-Duong Le-Duc; Long-Khanh Pham; Anh-Thu Le; Quynh-Huong Dinh-Nguyen; Dang-Quan Vo; Hoang-Quoc Nguyen-Son; Anh-Duy Tran; Dang Vu; Minh-Son Dao (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)