Skip to main content
MENUCLOSE
Access &
Contact
日本語

Achievements

Search on Google Scholar for details
List of all published papers by NICT

FY 2022

Major Publications

  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. 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).
  14. 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).
  15. 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).
  16. 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).
  17. 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).
  18. 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).
  19. 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).
  20. 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).
  21. 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).
  22. 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).
  23. 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).