Son N. Tran
Orcid: 0000-0002-5912-293X
According to our database1,
Son N. Tran
authored at least 50 papers
between 2013 and 2024.
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Bibliography
2024
Empirical Evaluation of Machine Learning Models for Fuel Consumption, Driver Identification, and Behavior Prediction.
IEEE Trans. Intell. Transp. Syst., December, 2024
Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches.
ACM Comput. Surv., June, 2024
A novel adaptive ensemble learning framework for automated <i>Beggiatoa Spp.</i> coverage estimation.
Expert Syst. Appl., March, 2024
Parallel scale de-blur net for sharpening video images for remote clinical assessment of hand movements.
Expert Syst. Appl., January, 2024
Multim. Tools Appl., 2024
Enhance Statistical Features with Changepoint Detection for Driver Behaviour Analysis.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024
2023
Artif. Intell. Rev., December, 2023
Real-time automated detection of older adults' hand gestures in home and clinical settings.
Neural Comput. Appl., April, 2023
CoRR, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition.
IEEE Trans. Multim., 2022
A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors.
Expert Syst. Appl., 2022
Wine Characterisation with Spectral Information and Predictive Artificial Intelligence.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
2021
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network.
IET Comput. Vis., 2021
Hand tremor detection in videos with cluttered background using neural network based approaches.
Health Inf. Sci. Syst., 2021
CoRR, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Neural Comput. Appl., 2020
Multim. Tools Appl., 2020
Comput. Intell. Neurosci., 2020
Artif. Intell. Rev., 2020
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020
Data Augmentation with Generative Adversarial Networks for Grocery Product Image Recognition.
Proceedings of the 16th International Conference on Control, 2020
2019
Neural-symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning.
FLAP, 2019
CoRR, 2019
ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings.
CoRR, 2019
ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Downstream Task.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019
dpUGC: Learn Differentially Private Representation for User Generated Contents (Best Paper Award, Third Place, Shared).
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019
2018
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Improving Recurrent Neural Networks with Predictive Propagation for Sequence Labelling.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
2016
2015
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015
2014
Feature Preprocessing with Restricted Boltzmann Machines for Music Similarity Learning.
Proceedings of the AES International Conference on Semantic Audio 2014, 2014
2013