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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)- [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
R. Uday Kiran
aka: Rage Uday Kiran
aka: Rage Uday Kiran
Koji Zettsu
aka: Koiji Zettsu
aka: Koiji Zettsu
[c106] [c101] [c100] [j13] [j11] [c99] [c98] [c97] [c95] [c94] [i5] [c89] [c88] [c86] [c85] [c84] [c83] [c78] [c77] [i2] [i1] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [j7] [c61] [c59] [c58] [c57] [c56] [c52] [c50] [c47] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c20]
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