Son N. Tran

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 54

Top Topics

Boltzmann Machines

Keypoint Detection

Probabilistic Approaches

Top Venues

Expert Syst. Appl.

Neural Comput. Appl.

Publications

Renjie Li, Guan Huang, Xinyi Wang, Yanyu Chen, Son N. Tran, Saurabh Kumar Garg, Rebecca J. St George, Katherine Lawler, Jane E. Alty, Quan Bai
Parallel scale de-blur net for sharpening video images for remote clinical assessment of hand movements. Expert Syst. Appl. 235 (2024)
Yanyu Chen, Yunjue Zhou, Mira Park, Son N. Tran, Scott Hadley, Quan Bai
coverage estimation. Expert Syst. Appl. 237 (Part B) (2024)
Dung Nguyen, Duc Thanh Nguyen, Sridha Sridharan, Mohamed Abdelrazek, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes
Deep cross-domain transfer for emotion recognition via joint learning. Multim. Tools Appl. 83 (8) (2024)
Jianping Yao, Son N. Tran, Saurabh Kumar Garg, Samantha Sawyer
Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches. ACM Comput. Surv. 56 (6) (2024)
Jianping Yao, Son N. Tran, Saurabh Garg, Samantha Sawyer
Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches. CoRR (2023)
Son N. Tran, Artur S. d'Avila Garcez
Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines. AAAI (2023)
Renjie Li, Chun Yu Lao, Rebecca J. St. George, Katherine Lawler, Saurabh Garg, Son N. Tran, Quan Bai, Jane E. Alty
Rapid-Motion-Track: Markerless Tracking of Fast Human Motion with Deeper Learning. CoRR (2023)
Guan Huang, Son N. Tran, Quan Bai, Jane E. Alty
Real-time automated detection of older adults' hand gestures in home and clinical settings. Neural Comput. Appl. 35 (11) (2023)
Jianping Yao, Son N. Tran
Multi-output Deep-Supervised Classifier Chains for Plant Pathology. IJCNN (2023)
Jianping Yao, Son N. Tran, Samantha Sawyer, Saurabh Garg
Machine Learning for Leaf Disease Classification: Data, Techniques and Applications. CoRR (2023)
Jianping Yao, Son N. Tran, Lianxue Zhang, Jiaxin Ye, Ananda Maiti, Scott Hadley
Deep Learning for Effective Gender Classification of Tasmania Giant Crabs. IJCNN (2023)
Jianping Yao, Son N. Tran, Samantha Sawyer, Saurabh Kumar Garg
Machine learning for leaf disease classification: data, techniques and applications. Artif. Intell. Rev. 56 (Supplement 3) (2023)
Jianping Yao, Son N. Tran, Hieu Nguyen, Samantha Sawyer, Rocco Longo
Wine Characterisation with Spectral Information and Predictive Artificial Intelligence. ICONIP (7) (2022)
Sumbal Maqsood, Shuxiang Xu, Son N. Tran, Saurabh Garg, Matthew Springer, Mohan Karunanithi, Rami Mohawesh
A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors. Expert Syst. Appl. 197 (2022)
Renjie Li, Xinyi Wang, Guan Huang, Wenli Yang, Kaining Zhang, Xiaotong Gu, Son N. Tran, Saurabh Garg, Jane E. Alty, Quan Bai
A Comprehensive Review on Deep Supervision: Theories and Applications. CoRR (2022)
Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition. IEEE Trans. Multim. 24 (2022)
Rami Mohawesh, Son N. Tran, Robert Ollington, Shuxiang Xu
Analysis of concept drift in fake reviews detection. Expert Syst. Appl. 169 (2021)
Muhammad Shakaib Iqbal, Hazrat Ali, Son N. Tran, Talha Iqbal
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network. IET Comput. Vis. 15 (6) (2021)
Son N. Tran
Compositional Neural Logic Programming. IJCAI (2021)
Xinyi Wang, Saurabh Garg, Son N. Tran, Quan Bai, Jane E. Alty
Hand tremor detection in videos with cluttered background using neural network based approaches. Health Inf. Sci. Syst. 9 (1) (2021)
Son N. Tran, Artur d'Avila Garcez
Logical Boltzmann Machines. CoRR (2021)
Rami Mohawesh, Shuxiang Xu, Son N. Tran, Robert Ollington, Matthew Springer, Yaser Jararweh, Sumbal Maqsood
Fake Reviews Detection: A Survey. IEEE Access 9 (2021)
Muhammad Shakaib Iqbal, Hazrat Ali, Son N. Tran, Talha Iqbal
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network. CoRR (2021)
Renjie Li, Son N. Tran, Saurabh Garg, Katherine Lawler, Jane E. Alty, Quan Bai
Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection. CoRR (2021)
Guan Huang, Son N. Tran, Quan Bai, Jane E. Alty
Hand gesture detection in tests performed by older adults. CoRR (2021)
Son N. Tran, Ngo Tung Son, Artur S. d'Avila Garcez
Probabilistic approaches for music similarity using restricted Boltzmann machines. Neural Comput. Appl. 32 (8) (2020)
Son N. Tran, Ngo Tung Son, Qing Zhang, Mohan Karunanithi
Mixed-dependency models for multi-resident activity recognition in smart homes. Multim. Tools Appl. 79 (31-32) (2020)
Yuchen Wei, Shuxiang Xu, Son N. Tran, Byeong Ho Kang
Data Augmentation with Generative Adversarial Networks for Grocery Product Image Recognition. ICARCV (2020)
Yuchen Wei, Son N. Tran, Shuxiang Xu, Byeong Ho Kang, Matthew Springer
Deep Learning for Retail Product Recognition: Challenges and Techniques. Comput. Intell. Neurosci. 2020 (2020)
Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition. CoRR (2020)
Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition. CoRR (2020)
Son N. Tran, Artur d'Avila Garcez, Tillman Weyde, Jie Yin, Qing Zhang, Mohan Karunanithi
Sequence Classification Restricted Boltzmann Machines With Gated Units. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Son N. Tran, Dung Nguyen, Ngo Tung Son, Xuan-Son Vu, Long Hoang, Qing Zhang, Mohan Karunanithi
On multi-resident activity recognition in ambient smart-homes. Artif. Intell. Rev. 53 (6) (2020)
Xinping Liu, Zehong Cao, Son N. Tran
CogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation. CoRR (2020)
Régis Riveret, Son N. Tran, Artur d'Avila Garcez
Neuro-Symbolic Probabilistic Argumentation Machines. KR (2020)
Artur S. d'Avila Garcez, Marco Gori, Luís C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. CoRR (2019)
Xuan-Son Vu, Son N. Tran, Lili Jiang
dpUGC: Learn Differentially Private Representation for User Generated Contents. CoRR (2019)
Xuan-Son Vu, Son N. Tran, Lili Jiang
dpUGC: Learn Differentially Private Representation for User Generated Contents (Best Paper Award, Third Place, Shared). CICLing (1) (2019)
Artur S. d'Avila Garcez, Marco Gori, Luís C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran
Neural-symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. FLAP 6 (4) (2019)
Xuan-Son Vu, Thanh Vu, Son N. Tran, Lili Jiang
ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings. CoRR (2019)
Xuan-Son Vu, Thanh Vu, Son N. Tran, Lili Jiang
ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Downstream Task. RANLP (2019)
Jie Yin, Son N. Tran, Qing Zhang
Human Identification via Unsupervised Feature Learning from UWB Radar Data. PAKDD (1) (2018)
David Ireland, Hamed Hassanzadeh, Son N. Tran
Sentimental Analysis for AIML-Based E-Health Conversational Agents. ICONIP (2) (2018)
Son N. Tran, Qing Zhang, Anthony N. Nguyen, Xuan-Son Vu, Ngo Tung Son
Improving Recurrent Neural Networks with Predictive Propagation for Sequence Labelling. ICONIP (1) (2018)
Son N. Tran, Artur S. d'Avila Garcez
Deep Logic Networks: Inserting and Extracting Knowledge From Deep Belief Networks. IEEE Trans. Neural Networks Learn. Syst. 29 (2) (2018)
Son N. Tran, Qing Zhang, Mohan Karunanithi
On Multi-resident Activity Recognition in Ambient Smart-Homes. CoRR (2018)
Son N. Tran, Qing Zhang, Vanessa Smallbon, Mohan Karunanithi
Multi-Resident Activity Monitoring in Smart Homes: A Case Study. PerCom Workshops (2018)
Hazrat Ali, Son N. Tran, Emmanouil Benetos, Artur S. d'Avila Garcez
Speaker recognition with hybrid features from a deep belief network. Neural Comput. Appl. 29 (6) (2018)
Son N. Tran
Propositional Knowledge Representation in Restricted Boltzmann Machines. CoRR (2017)
Srikanth Cherla, Son N. Tran, Artur S. d'Avila Garcez, Tillman Weyde
Generalising the Discriminative Restricted Boltzmann Machines. ICANN (2) (2017)
Son N. Tran
Unsupervised Neural-Symbolic Integration. CoRR (2017)
Son N. Tran, Srikanth Cherla, Artur S. d'Avila Garcez, Tillman Weyde
The Recurrent Temporal Discriminative Restricted Boltzmann Machines. CoRR (2017)
Son N. Tran, Artur S. d'Avila Garcez
Adaptive Transferred-profile Likelihood Learning. IJCNN (2016)
Srikanth Cherla, Son N. Tran, Tillman Weyde, Artur S. d'Avila Garcez
Generalising the Discriminative Restricted Boltzmann Machine. CoRR (2016)
Srikanth Cherla, Son N. Tran, Artur S. d'Avila Garcez, Tillman Weyde
Discriminative learning and inference in the Recurrent Temporal RBM for melody modelling. IJCNN (2015)
Son N. Tran, Artur S. d'Avila Garcez
Efficient representation ranking for transfer learning. IJCNN (2015)
Srikanth Cherla, Son N. Tran, Tillman Weyde, Artur S. d'Avila Garcez
Hybrid Long- and Short-Term Models of Folk Melodies. ISMIR (2015)
Son N. Tran, Artur S. d'Avila Garcez
Low-Cost Representation for Restricted Boltzmann Machines. ICONIP (1) (2014)
Son N. Tran, Emmanouil Benetos, Artur S. d'Avila Garcez
Learning motion-difference features using Gaussian restricted Boltzmann machines for efficient human action recognition. IJCNN (2014)
Son N. Tran, Daniel Wolff, Tillman Weyde, Artur S. d'Avila Garcez
Feature Preprocessing with Restricted Boltzmann Machines for Music Similarity Learning. Semantic Audio (2014)
Son N. Tran, Artur S. d'Avila Garcez
Adaptive Feature Ranking for Unsupervised Transfer Learning. CoRR (2013)