Minh-Son Dao

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 92

Top Venues

Publications

Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, Danilo P. Mandic
Exploring Convolutional Neural Network Architectures for EEG Feature Extraction. Sensors 24 (3) (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)
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
Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs. Algorithms 16 (1) (2023)
Duy-Dong Le, Minh-Son Dao, Anh-Khoa Tran, Thai-Binh Nguyen, Hong-Gam Le-Thi
Federated Learning in Smart Agriculture: An Overview. KSE (2023)
Wenbin Gan, Minh-Son Dao, Koji Zettsu
Procedural Driving Skill Coaching from More Skilled Drivers to Safer Drivers: A Survey. ICDAR@ICMR (2023)
Dinh-Duy Pham, Minh-Son Dao, Thanh-Binh Nguyen
A Cross-modal Attention Model for Fine-Grained Incident Retrieval from Dashcam Videos. MMM (1) (2023)
Kha-Luan Pham, Manh-Thien Nguyen, Anh-Duy Tran, Minh-Son Dao, Duc-Tien Dang-Nguyen
Detecting Cheapfakes using Self-Query Adaptive-Context Learning. ICDAR@ICMR (2023)
Minh-Son Dao, Koji Zettsu
Leveraging Knowledge Graphs for CheapFakes Detection: Beyond Dataset Evaluation. ICME Workshops (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-Anh Ton-Thien, Chuong Thi Nguyen, Quang M. Le, Dat Q. Duong, Minh-Son Dao, Binh T. Nguyen
Air Pollution Forecasting Using Multimodal Data. IEA/AIE (2) (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)
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)
Guillaume Habault, Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang Nguyen, Yuta Nakashima, Cathal Gurrin
ICDAR'23: Intelligent Cross-Data Analysis and Retrieval. ICMR (2023)
Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Cise Midoglu, Michael Riegler, Pål Halvorsen, Minh-Son Dao
Grand Challenge On Detecting Cheapfakes. CoRR (2023)
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)
Quang-Tien Tran, Thanh-Phuc Tran, Minh-Son Dao, Tuan-Vinh La, Anh-Duy Tran, Duc-Tien Dang-Nguyen
A Textual-Visual-Entailment-based Unsupervised Algorithm for Cheapfake Detection. ACM Multimedia (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)
Phuc-Thinh Nguyen, Mohamed Saleem Haja Nazmudeen, Minh-Son Dao, Duy-Dong Le
Adaptive Learning Models for Getting Insights into Multimodal Lifelog Data. KSE (2022)
Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Cathal Gurrin, Yuta Nakashima, Mianxiong Dong
ICDAR'22: Intelligent Cross-Data Analysis and Retrieval. ICMR (2022)
Tuan-Vinh La, Minh-Son Dao, Quang-Tien Tran, Thanh-Phuc Tran, Anh-Duy Tran, Duc-Tien Dang-Nguyen
A Combination of Visual-Semantic Reasoning and Text Entailment-based Boosting Algorithm for Cheapfake Detection. ACM Multimedia (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)
Manh-Phu Nguyen, Minh-Son Dao, Thanh-Binh Nguyen
3D-STGPCN: 3D Spatio-Temporal Graph Point-wise Convolutional Network for Traffic Forecasting. Big Data (2022)
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
Insights into Multi-Model Federated Learning: An Advanced Approach for Air Quality Index Forecasting. Algorithms 15 (11) (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)
Tuan-Vinh La, Minh-Son Dao, Le Duy Dong, Kim-Phung Thai, Nguyen Quoc Hung, Thuy-Kieu Phan-Thi
Leverage Boosting and Transformer on Text-Image Matching for Cheap Fakes Detection. Algorithms 15 (11) (2022)
Wenbin Gan, Minh-Son Dao, Koji Zettsu
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs. Big Data (2022)
Rafik Hamza, Minh-Son Dao
Research on privacy-preserving techniques in the era of the 5G applications. Virtual Real. Intell. Hardw. 4 (3) (2022)
Wenbin Gan, Minh-Son Dao, Koji Zettsu
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs. CoRR (2022)
Minh-Son Dao, Thanh-Hai Dang, Tan-Loc Nguyen-Tai, Thanh Binh Nguyen, Duc-Tien Dang-Nguyen
Overview of MediaEval 2022 Urban Air: Urban Life and Air Pollution. MediaEval (2022)
Duy-Dong Le, Anh-Khoa Tran, Minh-Son Dao, Mohamed Saleem Haja Nazmudeen, Viet-Tiep Mai, Nhat-Ha Su
Federated Learning for Air Quality Index Prediction: An Overview. KSE (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)
Tuan-Vinh La, Quang-Tien Tran, Thanh-Phuc Tran, Anh-Duy Tran, Duc-Tien Dang-Nguyen, Minh-Son Dao
Multimodal Cheapfakes Detection by Utilizing Image Captioning for Global Context. ICDAR@ICMR (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)
Minh-Son Dao
Multimodal and Crossmodal AI for Smart Data Analysis. CoRR (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)
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)
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)
Dat Q. Duong, Quang M. Le, Tan-Loc Nguyen-Tai, Hien D. Nguyen, Minh-Son Dao, Binh T. Nguyen
An Effective AQI Estimation Using Sensor Data and Stacking Mechanism. SoMeT (2021)
Minh-Son Dao
Session details: Keynote & Invited Talks. ICDAR@ICMR (2021)
Minh-Son Dao, Dinh-Duy Pham, Manh-Phu Nguyen, Thanh-Binh Nguyen, Koji Zettu
MM-trafficEvent: An Interactive Incident Retrieval System for First-view Travel-log Data. IEEE BigData (2021)
Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Cathal Gurrin, Minh-Triet Tran, Thanh-Binh Nguyen
ICDAR'21: Intelligent Cross-Data Analysis and Retrieval. ICMR (2021)
Dang-Hieu Nguyen, Loc Tai Nguyen Tan, Minh-Tam Nguyen, Thanh-Binh Nguyen, Minh-Son Dao
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. MMM (2) (2021)
Asem Kasem, Minh-Son Dao, Effa Nabilla Aziz, Duc-Tien Dang-Nguyen, Cathal Gurrin, Minh-Triet Tran, Thanh-Binh Nguyen, Wida Suhaili
Overview of Insight for Wellbeing Task at MediaEval 2021: Cross-Data Analytics for Transboundary Haze Prediction. MediaEval (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)
Quy H. Nguyen, Dac H. Nguyen, Minh-Son Dao, Duc-Tien Dang-Nguyen, Cathal Gurrin, Binh T. Nguyen
An Active Learning Framework for Duplicate Detection in SaaS Platforms. ICMR (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)
Tan-Loc Nguyen-Tai, Dang-Hieu Nguyen, Minh-Tam Nguyen, Thanh-Duong Nguyen, Thanh-Hai Dang, Minh-Son Dao
MNR-HCM Data: A Personal Lifelog and Surrounding Environment Dataset in Ho-Chi-Minh City, Viet Nam. ICDAR@ICMR (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)
Dat Q. Duong, Quang M. Le, Tan-Loc Nguyen-Tai, Dong Bo, Dat Nguyen, Minh-Son Dao, Binh T. Nguyen
Multi-source Machine Learning for AQI Estimation. IEEE BigData (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)
Dinh V. Cuong, Dac H. Nguyen, Son Huynh, Phong Huynh, Cathal Gurrin, Minh-Son Dao, Duc-Tien Dang-Nguyen, Binh T. Nguyen
A Framework for Paper Submission Recommendation System. 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, Minh-Son Dao, Thanh Nguyen, Thanh-Binh Nguyen, Duc-Tien Dang-Nguyen, Cathal Gurrin
Overview of MediaEval 2020 Insights for Wellbeing: Multimodal Personal Health Lifelog Data Analysis. MediaEval (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)
Dac H. Nguyen, Quy H. Nguyen, Minh-Son Dao, Duc-Tien Dang-Nguyen, Cathal Gurrin, Binh T. Nguyen
Duplicate Identification Algorithms in SaaS Platforms. ICDAR@ICMR (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)
Minh-Son Dao, Morten Fjeld, Filip Biljecki, Uraz Yavanoglu, Mianxiong Dong
ICDAR'20: Intelligent Cross-Data Analysis and Retrieval. ICMR (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)
Nhu T. Nguyen, Thuy T. Pham, Tien X. Dang, Minh-Son Dao, Duc-Tien Dang-Nguyen, Cathal Gurrin, Binh T. Nguyen
Malware Detection Using System Logs. ICDAR@ICMR (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)
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)
Zhihan Lv, Irfan Mehmood, Mario Vento, Minh-Son Dao, Kaoru Ota, Alessia Saggese
IEEE Access Special Section Editorial: Multimedia Analysis for Internet-of-Things. IEEE Access 7 (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)
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)
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)
Minh-Son Dao, Ngoc-Thanh Nguyen, Koji Zettsu
Multi-time-horizon Traffic Risk Prediction using Spatio-Temporal Urban Sensing Data Fusion. IEEE BigData (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)
Minh-Son Dao, Duc-Tien Dang-Nguyen, Asem Kasem, Hung Tran-The
HealthyClassroom - A Proof-of-Concept Study for Discovering Students' Daily Moods and Classroom Emotions to Enhance a Learning-teaching Process using Heterogeneous Sensors. ICPRAM (2018)
Minh-Son Dao, Pham Quang Nhat Minh, Asem Kasem, Mohamed Saleem Haja Nazmudeen
A Context-Aware Late-Fusion Approach for Disaster Image Retrieval from Social Media. ICMR (2018)
Minh-Son Dao, Koji Zettsu
A Raster-Image-Based Approach for Understanding Associations of Urban Sensing Data. AIKE (2018)
Minh-Son Dao, Koji Zettsu
Complex Event Analysis of Urban Environmental Data based on Deep CNN of Spatiotemporal Raster Images. IEEE BigData (2018)
Minh-Son Dao, Asem Kasem, Mohamed Saleem Haja Nazmudeen
Leveraging Content and Context in Understanding Activities of Daily Living. CLEF (Working Notes) (2018)
Minh-Son Dao, Duc-Tien Dang-Nguyen, Michael Riegler, Cathal Gurrin
Smart Lifelogging: Recognizing Human Activities using PHASOR. ICPRAM (2017)
Kaoru Ota, Minh-Son Dao, Vasileios Mezaris, Francesco G. B. De Natale
Deep Learning for Mobile Multimedia: A Survey. ACM Trans. Multim. Comput. Commun. Appl. 13 (3s) (2017)
Kaoru Ota, Minh-Son Dao, Vasileios Mezaris, Francesco G. B. De Natale
Introduction to Special Issue on Deep Learning for Mobile Multimedia. ACM Trans. Multim. Comput. Commun. Appl. 13 (3s) (2017)
Minh-Son Dao, Minh Pham Quang Nhat, Duc-Tien Dang-Nguyen
A Domain-based Late-Fusion for Disaster Image Retrieval from Social Media. MediaEval (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)
Laleh Jalali, Minh-Son Dao, Ramesh C. Jain, Koiji Zettsu
Complex asthma risk factor recognition from heterogeneous data streams. ICME Workshops (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)
Minh-Son Dao, Koji Zettsu
Discovering Environmental Impacts on Public Health Using Heterogeneous Big Sensory Data. BigData Congress (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)
Stefano Valtolina, Marco Mesiti, Luca Ferrari, Koji Zettsu, Minh-Son Dao
User-Centered Event Data Modelling and Analytics. CoPDA@IS-EUD (2015)
Duc-Duy Nguyen, Minh-Son Dao, Truc-Vien T. Nguyen
Natural Language Processing for Social Event Classification. KSE (2014)
Emanuele Sansone, Giulia Boato, Minh-Son Dao
Synchronizing Multi-User Photo Galleries with MRF. MediaEval (2014)
Minh-Son Dao, Duc-Tien Dang-Nguyen, Francesco G. B. De Natale
Robust event discovery from photo collections using Signature Image Bases (SIBs). Multim. Tools Appl. 70 (1) (2014)
Minh-Son Dao, Anh Duc Duong, Francesco G. B. De Natale
Unsupervised social media events clustering using user-centric parallel split-n-merge algorithms. ICASSP (2014)
Minh-Son Dao, Siripen Pongpaichet, Laleh Jalali, Kyoung-Sook Kim, Ramesh C. Jain, Koiji Zettsu
A Real-time Complex Event Discovery Platform for Cyber-Physical-Social Systems. ICMR (2014)
Minh-Son Dao, Giulia Boato, Francesco G. B. De Natale, Truc-Vien Nguyen
Jointly exploiting visual and non-visual information for event-related social media retrieval. ICMR (2013)
Truc-Vien Nguyen, Minh-Son Dao, Riccardo Mattivi, Emanuele Sansone, Francesco G. B. De Natale, Giulia Boato
Event Clustering and Classification from Social Media: Watershed-based and Kernel Methods. MediaEval (2013)
Minh-Son Dao, Truc-Vien Nguyen, Giulia Boato, Francesco G. B. De Natale
The Watershed-based Social Events Detection Method with Support from External Data Sources. MediaEval (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Minh-Son Dao