Son N. Tran

Orcid: 0000-0002-5912-293X

According to our database1, Son N. Tran authored at least 48 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Deep cross-domain transfer for emotion recognition via joint learning.
Multim. Tools Appl., 2024

2023
Machine learning for leaf disease classification: data, techniques and applications.
Artif. Intell. Rev., December, 2023

Real-time automated detection of older adults' hand gestures in home and clinical settings.
Neural Comput. Appl., April, 2023

Rapid-Motion-Track: Markerless Tracking of Fast Human Motion with Deeper Learning.
CoRR, 2023

Deep Learning for Effective Gender Classification of Tasmania Giant Crabs.
Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-output Deep-Supervised Classifier Chains for Plant Pathology.
Proceedings of the International Joint Conference on Neural Networks, 2023

Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines.
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

A Comprehensive Review on Deep Supervision: Theories and Applications.
CoRR, 2022

Wine Characterisation with Spectral Information and Predictive Artificial Intelligence.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

A Self-learning Approach for Beggiatoa Coverage Estimation in Aquaculture.
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

Analysis of concept drift in fake reviews detection.
Expert Syst. Appl., 2021

Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection.
CoRR, 2021

Logical Boltzmann Machines.
CoRR, 2021

Hand gesture detection in tests performed by older adults.
CoRR, 2021

Fake Reviews Detection: A Survey.
IEEE Access, 2021

Compositional Neural Logic Programming.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Sequence Classification Restricted Boltzmann Machines With Gated Units.
IEEE Trans. Neural Networks Learn. Syst., 2020

Probabilistic approaches for music similarity using restricted Boltzmann machines.
Neural Comput. Appl., 2020

Mixed-dependency models for multi-resident activity recognition in smart homes.
Multim. Tools Appl., 2020

Joint Deep Cross-Domain Transfer Learning for Emotion Recognition.
CoRR, 2020

Deep Learning for Retail Product Recognition: Challenges and Techniques.
Comput. Intell. Neurosci., 2020

On multi-resident activity recognition in ambient smart-homes.
Artif. Intell. Rev., 2020

Neuro-Symbolic Probabilistic Argumentation Machines.
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

dpUGC: Learn Differentially Private Representation for User Generated Contents.
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
On Multi-resident Activity Recognition in Ambient Smart-Homes.
CoRR, 2018

Multi-Resident Activity Monitoring in Smart Homes: A Case Study.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Human Identification via Unsupervised Feature Learning from UWB Radar Data.
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

Sentimental Analysis for AIML-Based E-Health Conversational Agents.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
The Recurrent Temporal Discriminative Restricted Boltzmann Machines.
CoRR, 2017

Unsupervised Neural-Symbolic Integration.
CoRR, 2017

Propositional Knowledge Representation in Restricted Boltzmann Machines.
CoRR, 2017

2016
Generalising the Discriminative Restricted Boltzmann Machine.
CoRR, 2016

2015
Hybrid Long- and Short-Term Models of Folk Melodies.
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
Adaptive Feature Ranking for Unsupervised Transfer Learning.
CoRR, 2013


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