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研究業績

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NICT論文一覧へ

2022年度

主な論文・著書・特許等

  1. Kiran, R.U., Veena, P., Ravikumar, P., Raj, B.V.V., Dao, M.S., Zettsu, K., Bommisetti, S.C.: HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases, Applied Intelligence Journal (March 2023).
  2. Dao, M.S., Pham, D.D., Nguyen, T.B.: A Cross-modal Attention Model for Fine-Grained Incident Retrieval from Dashcam Videos, 29TH INTERNATIONAL CONFERENCE ON MULTIMEDIA MODELING (MMM), Bergen, Norway (March 2023).
  3. Nguyen, D.V., Tran, A.K., Zettsu, K.: FedProb: An Aggregation Method Based on Feature Probability Distribution for Federated Learning on Non-IID Data, IEEE Big Data 2022, Osaka, Japan, pp.2875-2881 (January 2023).
  4. Gan, W., Dao, M.S., Zettsu, K.: An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios, IEEE Big Data 2022, Osaka, Japan, pp.1822-1829 (December 2022).
  5. Gan, W., Dao, M.S., Zettsu, K.: Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs, IEEE Big Data 2022 - 1st International Workshop on Big Data Analytics for Health and Medicine (BDA4HM 2022), Osaka, Japan, pp.4346-4354 (December 2022).
  6. Tran, A.K., Nguyen, D.V., Dao, M.S., Zettsu, K.: splitDyn: Federated Split Neural Network for Distributed Edge AI Applications, IEEE Big Data 2022 - 8th Special Session on Intelligent Data Mining, online (December 2022).
  7. Nguyen, T.P.V., Dao, M.S., Zettsu, K.: AE-Sleep: An Adaptive Enhancement Sleep QualitySystem Utilizing Data Mining and Adaptive Model, Fifteenth International Conference on Sensing Technology(ICST) 2022, Sydney, Australia, (December 2022). [Best presentation award]
  8. Pradana, M.H.M.A., Dao, M.S., Zettsu, K.: Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style Translation, The International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2022, online (December 2022).
  9. Hamza, R., Pradana, M.H.M.A.: A Survey of Intellectual Property Rights Protection in Big Data Applications, Journal of Algorithms, Vol.15, pp.1-15 (November 2022).
  10. Nguyen, T.P.V., Nazmudeen, M.S.H., Dao, M.S., Le, D.D.: Adaptive Learning Models for Getting Insights into Multimodal Lifelog Data, 14th IEEE International Conference on Knowledge and Systems Engineering (KSE 2022), Nha Trang, Vietnam, pp.1-6 (November 2022).
  11. Tran, Q.T., Tran, T.P., Dao, M.S., La, T.V., Tran, A.D., Nguyen, D.T.D.: A Textual-Visual-Entailment-based Unsupervised Algorithm forCheapfake Detection, ACM MM 2022: grand challenge in CheapFakes Detection, online, pp.7145-7149 (October 2022). [Runner-up challenge award (i.e., second prize)]
  12. La, T.V., Dao, M.S., Tran, Q.T., Tran, T.P., Tran, A.D., Nguyen, D.T.D.: A Combination of Visual-Semantic Reasoning and TextEntailment-based Boosting Algorithm for Cheapfake Detection, ACM MM 2022: grand challenge in CheapFakes Detection, online, pp.7140-7144 (October 2022). [Best challenge award (i.e., first prize)]
  13. ダオ ミン ソン, プラダナ ムハマド　ヒルミリ ムクタ アディチャ, 是津耕司：警告信号生成装置、警告信号生成方法、および、プログラム, 特願2022-149761（2022年9月21日).
  14. Gumiran, C.R., Fajardo, A.C., Medina, R.P., Dao, M.S., Aguinaldo, B.E.: Aedes Aegypti Egg Morphological Property and Attribute Determination Based on Computer Vision, 7th International Conference on Signal and Image Processing, Hybrid Conference http://www.icsip.org/2022.html, pp.581-585 (September 2022).
  15. Ravikumar, P., Vikranthraj, V., Likhitha, P., Kiran, R.U., Watanobe, Y., Ito, S., Zettsu, K., Toyoda, M.: Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases, Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022), online, pp.204-215 (August 2022).
  16. Veena, P., Tarun, S., Kiran, R.U., Dao, M.S., Zettsu, K., Watanobe, Y., Zhang, J.: Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements, 33rd International Conference on Database and Expert Systems Applications (DEXA 2022), online, Vol.II, pp.204-215 (August 2022).
  17. Veena, P., Ravikumar, P., Kwangwari, K., Kiran, R.U., Goda, K., Watanobe, Y., Zettsu, K.: Discovering Fuzzy Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2022), online, pp.1-8 (July 2022).
  18. Gan, W., Dao, M.S., Zettsu, K., Yuan, S.: IoT-based Multimodal Analysis for Smart Education: Current Status, Challenges and Opportunities, 3rd Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR 2022), online (June 2022).
  19. Gan, W., Dao, M.S., Zettsu, K., Yuan, S.: IoT-based Multimodal Analysis for Smart Education: CurrentStatus, Challenges and Opportunities, 3rd Workshop on Intelligent Cross-Data Analysis and Retrieval, co-located with ACM ICMR 2022, https://www.icmr2022.org/program/workshops/, pp.32-40 (June 2022).
  20. Tran, A.K., Nguyen, D.V., Nguyen, T.P.V., Zettsu, K.: FedMCRNN: Federated Learning using Multiple Convolutional Recurrent Neural Networks for Sleep Quality Prediction, 3rd Workshop on Intelligent Cross-Data Analysis and Retrieval, co-located with ACM ICMR 2022, https://www.icmr2022.org/program/workshops/, pp.63-69 (June 2022).
  21. Hamza, R., Dao, M.S., Ito, S., Zettsu, K.: Towards Intellectual Property Rights Protection in Big Data, 3rd Workshop on Intelligent Cross-Data Analysis and Retrieval, co-located with ACM ICMR 2022, https://www.icmr2022.org/program/workshops/, pp.50-57 (June 2022).
  22. Dao, M.S., Riegler, M.A., Nguyen, D.T.D., Gurrin, C., Nakashima, Y., Dong, M.: ICDAR’22: Intelligent Cross-Data Analysis and Retrieval, 3rd Workshop on Intelligent Cross-Data Analysis and Retrieval, co-located with ACM ICMR 2022, https://www.icmr2022.org/program/workshops/, pp.690-691 (June 2022).
  23. Hamza, R., Dao, M.S.: Privacy-preserving deep learning techniques for wearablesensor-based big data applications, Virtual Reality & Intelligent Hardware, Vol.4, pp.210-222 (June 2022).
  24. Kiran, R.U., Chhabra, V., Chennupati, S., Reddy, P.K., Dao, M.S., Zettsu, K.: A Novel Null-Invariant Temporal Measure to Discover Partial PeriodicPatterns in Non-uniform Temporal Databases, 27th International Conference on Database Systems for Advanced Applications (DASFAA-2022), online, Vol.13245, pp.569-577 (April 2022).

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