| Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river XH Nguyen Advances in Water Resources 142, 103656, 2020 | 130 | 2020 |
| Dynamic time warping-based imputation for univariate time series data ÉP Caillault, A Lefebvre, A Bigand Pattern Recognition Letters 139, 139-147, 2020 | 85 | 2020 |
| Comparative study on vision based rice seed varieties identification PTT Hong, TTT Hai, VT Hoang, V Hai, TT Nguyen 2015 Seventh international conference on knowledge and systems engineering …, 2015 | 56 | 2015 |
| Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system BQ Lap, H Du Nguyen, PT Hang, NQ Phi, VT Hoang, PG Linh, BTT Hang Ecological Informatics 74, 101991, 2023 | 54 | 2023 |
| Comparative study on univariate forecasting methods for meteorological time series ÉP Caillault, A Bigand 2018 26th European Signal Processing Conference (EUSIPCO), 2380-2384, 2018 | 22 | 2018 |
| Machine learning for univariate time series imputation TTH Phan 2020 International Conference on Multimedia Analysis and Pattern Recognition …, 2020 | 21 | 2020 |
| Comparative study on supervised learning methods for identifying phytoplankton species EP Caillault, A Bigand 2016 IEEE Sixth International Conference on Communications and Electronics …, 2016 | 21 | 2016 |
| A new fuzzy logic‐based similarity measure applied to large gap imputation for uncorrelated multivariate time series TTH Phan, A Bigand, ÉP Caillault Applied Computational Intelligence and Soft Computing 2018 (1), 9095683, 2018 | 18 | 2018 |
| Different levels of modeling for learner profiles S Jean-Daubias, T phan | 13* | |
| Identification of seeds of different rice varieties using image processing and computer vision techniques PTT Hong, TTT Hai, VTH Le Thi Lan, NT Thuy J. Sci. & Devel 13 (6), 1036-1042, 2015 | 8 | 2015 |
| Monitoring Water Quality in Lien Son Irrigation System of Vietnam and Identification of Potential Pollution Sources by Using Multivariate Analysis TTHP Bui Quoc Lap, Nguyen Hoai Nam, Bui Thi Kim Anh, Trinh Thi Thuy Linh, Le ... Water, Air and Soil Pollution, 2021 | 7 | 2021 |
| A deep learning-based approach for bee sound identification TH Truong, H Du Nguyen, TQA Mai, HL Nguyen, TNM Dang Ecological Informatics 78, 102274, 2023 | 5 | 2023 |
| Investigation on new Mel frequency cepstral coefficients features and hyper-parameters tuning technique for bee sound recognition HNVTPH Thi-Thu-Hong Phan*, Dong Nguyen-Doan, Du Nguyen-Huu Soft Computing, 2022 | 5* | 2022 |
| The Use of Machine Learning Algorithms for Evaluating Water Quality Index: A Survey and Perspective TTHP Huu Du Nguyen, Tai Quang Dinh NGUYEN, Hien Nguyen Thi, Bui Quoc Lap 5th International Conference on Multimedia Analysis and Pattern Recognition …, 2022 | 5 | 2022 |
| edtwbi: Effective imputation method for univariate time series TTH Phan, É Poisson Caillault, A Bigand Advanced Computational Methods for Knowledge Engineering: Proceedings of the …, 2020 | 5 | 2020 |
| Toward Audio Beehive Monitoring Based on IoT-AI techniques: A Survey and Perspective NH Du, ND Dong, VT Luu, N Van Hoang, PH Thai, PT Ngoc, NV Long, ... Vietnam Journal of Agricultural Sciences 3 (1), 530-540, 2020 | 4* | 2020 |
| DTW-Approach for uncorrelated multivariate time series imputation ÉP Caillault, A Bigand, A Lefebvre 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017 | 4 | 2017 |
| Which DTW method applied to marine univariate time series imputation ÉP Caillault, A Lefebvre, A Bigand OCEANS 2017-Aberdeen, 1-7, 2017 | 3 | 2017 |
| Evaluation of Feature Extraction Methods for Bee Audio Classification TTH Phan, HD Nguyen, DD Nguyen International Conference on Intelligence of Things, 194-203, 2022 | 2 | 2022 |
| Genetic Programming for Bee Audio Classification H Nguyen Thi, TTH Phan, CT Tran Proceedings of the 2023 8th International Conference on Intelligent …, 2023 | 1 | 2023 |
Andre BigandULCO在 lisic.univ-littoral.fr 的电子邮件经过验证
