default search action
Minh-Son Dao
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j14]Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, Danilo P. Mandic:
Exploring Convolutional Neural Network Architectures for EEG Feature Extraction. Sensors 24(3): 877 (2024) - [c109]Do-Van Nguyen, Minh-Son Dao, Koji Zettsu:
Digital Twin Orchestration: Framework and Smart City Applications. AI4DT&CP@IJCAI 2024: 21-40 - [c108]Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu:
SimLLM: Detecting Sentences Generated by Large Language Models Using Similarity between the Generation and its Re-generation. EMNLP 2024: 22340-22352 - [c107]Huy Quang Ung, Hao Niu, Minh-Son Dao, Shinya Wada, Atsunori Minamikawa:
xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for Long-Term Traffic Prediction. MDM 2024: 195-202 - [c106]Minh-Son Dao, Koji Zettsu:
Near-Miss Accident Prediction on the Edge: A Real-Time System for Safer Driving. ICMR 2024: 1165-1169 - [c105]Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Michael Riegler, Pål Halvorsen, Anh-Duy Tran, Minh-Son Dao, Minh-Triet Tran:
Overview of the Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024. ICMR 2024: 1275-1281 - [c104]Hoa-Vien Vo-Hoang, Long-Khanh Pham, Minh-Son Dao:
Detecting Out-of-Context Media with LLaMa-Adapter V2 and RoBERTa: An Effective Method for Cheapfakes Detection. ICMR 2024: 1282-1287 - [c103]Anh-Thu Le, Minh-Dat Nguyen, Minh-Son Dao, Anh-Duy Tran, Duc-Tien Dang-Nguyen:
TeGA: A Text-Guided Generative-based Approach in Cheapfake Detection. ICMR 2024: 1294-1299 - [c102]Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Hanh-Nhi Tran, Rage Uday Kiran, Takahiro Komamizu:
ICDAR 24: Intelligent Cross-Data Analysis and Retrieval. ICMR 2024: 1332-1333 - [c101]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: 82-97 - [c100]Tran Anh Khoa, Minh-Son Dao, Do-Van Nguyen, Koji Zettsu:
Clustering-Enhanced Reinforcement Learning for Adaptive Offloading in Resource-Constrained Devices. SMARTCOMP 2024: 133-140 - [e9]Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Hanh-Nhi Tran, Rage Uday Kiran, Takahiro Komamizu:
The Fifth Workshop on Intelligent Cross-Data Analysis and Retrieval, ICDAR 2024, Phuket, Thailand, June 10-14, 2024. ACM 2024 [contents] - [i6]Huy Quang Ung, Hao Niu, Minh-Son Dao, Shinya Wada, Atsunori Minamikawa:
xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for Long-Term Traffic Prediction. CoRR abs/2405.04841 (2024) - 2023
- [j13]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: 118676-118688 (2023) - [j12]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): 30 (2023) - [j11]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): 8536-8561 (2023) - [c99]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. IEEE Big Data 2023: 1697-1706 - [c98]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. IEEE Big Data 2023: 1903-1907 - [c97]Wenbin Gan, Minh-Son Dao, Koji Zettsu:
Procedural Driving Skill Coaching from More Skilled Drivers to Safer Drivers: A Survey. ICDAR@ICMR 2023: 10-18 - [c96]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: 60-63 - [c95]Minh-Son Dao, Koji Zettsu:
Leveraging Knowledge Graphs for CheapFakes Detection: Beyond Dataset Evaluation. ICME Workshops 2023: 99-104 - [c94]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: 2846-2847 - [c93]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: 360-371 - [c92]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: 1-4 - [c91]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: 674-675 - [c90]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: 409-420 - [e8]Guillaume Habault, Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Yuta Nakashima, Cathal Gurrin:
Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, ICDAR 2023, Thessaloniki, Greece, June 12-15, 2023. ACM 2023 [contents] - [e7]Steven Hicks, Alba García Seco de Herrera, Johannes Langguth, Andreas Lommatzsch, Stelios Andreadis, Minh-Son Dao, Pierre-Etienne Martin, Ali Hürriyetoglu, Vajira Thambawita, Tor-Arne S. Nordmo, Romain Vuillemot, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2022 Workshop, Bergen, Norway and Online, 12-13 January 2023. CEUR Workshop Proceedings 3583, CEUR-WS.org 2023 [contents] - [e6]Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha A. Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, Phoebe Chen:
MultiMedia Modeling - 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13833, Springer 2023, ISBN 978-3-031-27076-5 [contents] - [e5]Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha A. Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, Phoebe Chen:
MultiMedia Modeling - 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13834, Springer 2023, ISBN 978-3-031-27817-4 [contents] - [i5]Hilmil Pradana, Minh-Son Dao, Koji Zettsu:
Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style Translation. CoRR abs/2301.02726 (2023) - [i4]Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Cise Midoglu, Michael Riegler, Pål Halvorsen, Minh-Son Dao:
Grand Challenge On Detecting Cheapfakes. CoRR abs/2304.01328 (2023) - 2022
- [j10]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): 423 (2022) - [j9]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): 434 (2022) - [j8]Rafik Hamza, Minh-Son Dao:
Research on privacy-preserving techniques in the era of the 5G applications. Virtual Real. Intell. Hardw. 4(3): 210-222 (2022) - [c89]Wenbin Gan, Minh-Son Dao, Koji Zettsu:
An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios. IEEE Big Data 2022: 1822-1829 - [c88]Wenbin Gan, Minh-Son Dao, Koji Zettsu:
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs. IEEE Big Data 2022: 4356-4364 - [c87]Manh-Phu Nguyen, Minh-Son Dao, Thanh-Binh Nguyen:
3D-STGPCN: 3D Spatio-Temporal Graph Point-wise Convolutional Network for Traffic Forecasting. IEEE Big Data 2022: 5998-6007 - [c86]Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu:
splitDyn: Federated Split Neural Network for Distributed Edge AI Applications. IEEE Big Data 2022: 6066-6073 - [c85]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: 569-577 - [c84]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: 204-215 - [c83]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: 597-608 - [c82]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: 1-8 - [c81]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: 1-6 - [c80]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 - [c79]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: 9-16 - [c78]Wenbin Gan, Minh-Son Dao, Koji Zettsu, Yuan Sun:
IoT-based Multimodal Analysis for Smart Education: Current Status, Challenges and Opportunities. ICDAR@ICMR 2022: 32-40 - [c77]Rafik Hamza, Minh-Son Dao, Sadanori Ito, Koji Zettsu:
Towards Intellectual Property Rights Protection in Big Data. ICDAR@ICMR 2022: 50-57 - [c76]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: 690-691 - [c75]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: 7140-7144 - [c74]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: 7145-7149 - [e4]Minh-Son Dao, Duc-Tien Dang-Nguyen, Michael Riegler:
ICDAR@ICMR 2022: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Newark, NJ, USA, June 27 - 30, 2022. ACM 2022, ISBN 978-1-4503-9241-9 [contents] - [i3]Minh-Son Dao:
Multimodal and Crossmodal AI for Smart Data Analysis. CoRR abs/2209.01308 (2022) - [i2]Wenbin Gan, Minh-Son Dao, Koji Zettsu:
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs. CoRR abs/2211.12778 (2022) - [i1]Wenbin Gan, Minh-Son Dao, Koji Zettsu:
An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios. CoRR abs/2211.12798 (2022) - 2021
- [c73]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: 3589-3594 - [c72]Minh-Son Dao, Dinh-Duy Pham, Manh-Phu Nguyen, Thanh-Binh Nguyen, Koji Zettsu:
MM-trafficEvent: An Interactive Incident Retrieval System for First-view Travel-log Data. IEEE BigData 2021: 4842-4851 - [c71]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: 4979-4988 - [c70]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: 221-227 - [c69]R. Uday Kiran, Palla Likhitha, Minh-Son Dao, Koji Zettsu, Ji Zhang:
Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases. ICONIP (5) 2021: 710-718 - [c68]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: 53-65 - [c67]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: 335-346 - [c66]Asem Kasem, Minh-Son Dao, Effa Nabilla Aziz, Duc-Tien Dang-Nguyen, Cathal Gurrin, Minh-Triet Tran, Nguyen Thanh Binh, Wida Suhaili:
Overview of Insight for Wellbeing Task at MediaEval 2021: Cross-Data Analytics for Transboundary Haze Prediction. MediaEval 2021 - [c65]Minh-Son Dao:
Session details: Keynote & Invited Talks. ICDAR@ICMR 2021 - [c64]Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Cathal Gurrin, Minh-Triet Tran, Nguyen Thanh Binh:
ICDAR'21: Intelligent Cross-Data Analysis and Retrieval. ICMR 2021: 688-689 - [c63]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: 206-217 - [c62]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: 405-418 - [e3]Steven Hicks, Debesh Jha, Konstantin Pogorelov, Alba García Seco de Herrera, Dmitry Bogdanov, Pierre-Etienne Martin, Stelios Andreadis, Minh-Son Dao, Zhuoran Liu, José Vargas Quiros, Benjamin Kille, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2020 Workshop, Online, 14-15 December 2020. CEUR Workshop Proceedings 2882, CEUR-WS.org 2021 [contents] - [e2]Minh-Son Dao, Duc-Tien Dang-Nguyen, Michael Riegler:
ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, Taipei, Taiwan, 21 August 2021. ACM 2021, ISBN 978-1-4503-8529-9 [contents] - 2020
- [j7]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): 31-48 (2020) - [c61]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: 910-915 - [c60]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: 4567-4576 - [c59]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: 4724-4733 - [c58]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 - [c57]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 - [c56]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: 396-406 - [c55]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: 9-14 - [c54]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: 21-26 - [c53]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: 33-38 - [c52]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: 661-668 - [c51]Peijiang Zhao, Minh-Son Dao, Thanh Nguyen, Nguyen Thanh Binh, Duc-Tien Dang-Nguyen, Cathal Gurrin:
Overview of MediaEval 2020 Insights for Wellbeing: Multimodal Personal Health Lifelog Data Analysis. MediaEval 2020 - [c50]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: 43-49 - [c49]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: 393-396 - [c48]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: 412-415 - [c47]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: 416-420 - [c46]Minh-Son Dao, Morten Fjeld, Filip Biljecki, Uraz Yavanoglu, Mianxiong Dong:
ICDAR'20: Intelligent Cross-Data Analysis and Retrieval. ICMR 2020: 580-581 - [e1]Minh-Son Dao, Morten Fjeld, Mianxiang Dong, Filip Biljecki, Uraz Yavanoglu:
Proceedings of the 2020 on Intelligent Cross-Data Analysis and Retrieval Workshop, ICDAR 2020, Dublin, Ireland, June 10-12, 2020. ACM 2020, ISBN 978-1-4503-7509-2 [contents]
2010 – 2019
- 2019
- [j6]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: 65211-65218 (2019) - [c45]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: 1669-1674 - [c44]Minh-Son Dao, Ngoc-Thanh Nguyen, Koji Zettsu:
Multi-time-horizon Traffic Risk Prediction using Spatio-Temporal Urban Sensing Data Fusion. IEEE BigData 2019: 2205-2214 - [c43]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: 4197-4200 - [c42]Trong-Dat Phan, Minh-Son Dao, Koji Zettsu:
An Interactive Watershed-Based Approach for Lifelog Moment Retrieval. BigMM 2019: 282-286 - [c41]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: 292-296 - [c40]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 - [c39]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 - [c38]Tomohiro Sato, Minh-Son Dao, Kota Kuribayashi, Koji Zettsu:
SEPHLA: Challenges and Opportunities Within Environment - Personal Health Archives. MMM (1) 2019: 325-337 - 2018
- [c37]Minh-Son Dao, Koji Zettsu:
A Raster-Image-Based Approach for Understanding Associations of Urban Sensing Data. AIKE 2018: 134-137 - [c36]Minh-Son Dao, Koji Zettsu:
Complex Event Analysis of Urban Environmental Data based on Deep CNN of Spatiotemporal Raster Images. IEEE BigData 2018: 2160-2169 - [c35]Minh-Son Dao, Asem Kasem, Mohamed Saleem Haja Nazmudeen:
Leveraging Content and Context in Understanding Activities of Daily Living. CLEF (Working Notes) 2018 - [c34]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: 685-691 - [c33]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: 266-273 - 2017
- [j5]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): 33:1-33:2 (2017) - [j4]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): 34:1-34:22 (2017) - [c32]Minh-Son Dao, Duc-Tien Dang-Nguyen, Michael Riegler, Cathal Gurrin:
Smart Lifelogging: Recognizing Human Activities using PHASOR. ICPRAM 2017: 761-768 - [c31]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 - 2016
- [c30]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: 628-631 - 2015
- [c29]Minh-Son Dao, Koji Zettsu:
Discovering Environmental Impacts on Public Health Using Heterogeneous Big Sensory Data. BigData Congress 2015: 741-744 - [c28]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: 2690-2699 - [c27]Laleh Jalali, Minh-Son Dao, Ramesh C. Jain, Koiji Zettsu:
Complex asthma risk factor recognition from heterogeneous data streams. ICME Workshops 2015: 1-6 - [c26]Stefano Valtolina, Marco Mesiti, Luca Ferrari, Koji Zettsu, Minh-Son Dao:
User-Centered Event Data Modelling and Analytics. CoPDA@IS-EUD 2015: 52-58 - [c25]Minh-Son Dao, Koji Zettsu:
Automatic Labeling Streaming Data for Event Detection from Heterogeneous Sensors. KSE 2015: 365-370 - [c24]Marco Mesiti, Stefano Valtolina, Luca Ferrari, Minh-Son Dao, Koji Zettsu:
An editable live ETL system for Ambient Intelligence environments. WF-IoT 2015: 393-394 - 2014
- [j3]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): 25-53 (2014) - [c23]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: 4798-4802 - [c22]Duc-Duy Nguyen, Minh-Son Dao, Truc-Vien T. Nguyen:
Natural Language Processing for Social Event Classification. KSE 2014: 79-91 - [c21]Emanuele Sansone, Giulia Boato, Minh-Son Dao:
Synchronizing Multi-User Photo Galleries with MRF. MediaEval 2014 - [c20]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: 201 - 2013
- [c19]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 - [c18]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: 159-166 - 2012
- [c17]Minh-Son Dao, Riccardo Mattivi, Francesco G. B. De Natale, Keita Masui, Noboru Babaguchi:
Abandoned Object's Owner Detection: A Case Study of Hybrid Mobile-Fixed Video Surveillance System. AVSS 2012: 404-409 - [c16]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 - [c15]Minh-Son Dao, Giulia Boato, Francesco G. B. De Natale:
Discovering inherent event taxonomies from social media collections. ICMR 2012: 48 - 2011
- [c14]Minh-Son Dao, Duc-Tien Dang-Nguyen, Francesco G. B. De Natale:
Signature-image-based event analysis for personal photo albums. ACM Multimedia 2011: 1481-1484 - 2010
- [j2]Minh-Son Dao, Noboru Babaguchi:
A new spatio-temporal method for event detection and personalized retrieval of sports video. Multim. Tools Appl. 50(1): 227-248 (2010) - [c13]Keita Masui, Minh-Son Dao, Noboru Babaguchi:
Modeling visual information by spatio-temporal patterns to analyze event tactic in sports video. EUVIP 2010: 198-203 - [c12]Minh-Son Dao, Keita Masui, Noboru Babaguchi:
Event tactic analysis in sports video using spatio-temporal pattern. ICIP 2010: 1497-1500
2000 – 2009
- 2009
- [c11]Minh-Son Dao, Sharma Ishan Nath, Noboru Babaguchi:
A New Linguistic-Perceptual Event Model for Spatio-Temporal Event Detection and Personalized Retrieval of Sports Video. ICIAP 2009: 594-603 - [c10]Minh-Son Dao, Sharma Ishan Nath, Noboru Babaguchi:
Preserving topological information in sub-trajectories-based representation for spatio-temporal trajectories indexing and retrieval. ACM Multimedia 2009: 641-644 - 2008
- [c9]Minh-Son Dao, Noboru Babaguchi:
Sports event detection using temporal patterns mining and web-casting text. AREA 2008: 33-40 - [c8]Minh-Son Dao, Noboru Babaguchi:
Mining temporal information and web-casting textfor automatic sports event detection. MMSP 2008: 616-621 - 2007
- [j1]Minh-Son Dao, Francesco G. B. De Natale, Andrea Massa:
Edge Potential Functions (EPF) and Genetic Algorithms (GA) for Edge-Based Matching of Visual Objects. IEEE Trans. Multim. 9(1): 120-135 (2007) - 2006
- [c7]Olga Symonova, Minh-Son Dao, Giuliana Ucelli, Raffaele De Amicis:
Ontology Based Shape Annotation and Retrieval. C&O@ECAI 2006 - [c6]Olga Symonova, Minh-Son Dao, Raffaele De Amicis, Giuliana Ucelli:
Topological Descriptor for CAD Model with Inner Cavities. Eurographics Italian Chapter Conference 2006: 61-67 - [c5]Minh-Son Dao, Raffaele De Amicis:
A New Method for Boundary-Based Shape Matching and Retrieval. ICIP 2006: 1485-1488 - [c4]Minh-Son Dao, Raffaele De Amicis:
A fusion method of geometric and topological features for boundary-based shape matching and retrieval. MMSP 2006: 217-220 - 2005
- [c3]Minh-Son Dao, Francesco G. B. De Natale, Andrea Massa:
Efficient Shape Matching Using Weighted Edge Potential Functions. ICIAP 2005: 629-636 - 2004
- [c2]Minh-Son Dao, Francesco G. B. De Natale, Andrea Massa:
MPEG-4 Video Retrieval Using Video-Objects and Edge Potential Functions. PCM (3) 2004: 550-557 - 2003
- [c1]Minh-Son Dao, Francesco G. B. De Natale, Andrea Massa:
Edge potential functions and genetic algorithms for shape-based image retrieval. ICIP (3) 2003: 729-732
Coauthor Index
aka: Rage Uday Kiran
aka: Koiji Zettsu
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-19 21:46 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint