Adaptive Feature Ranking for Unsupervised Transfer Learning. - Son N. Tran; Artur S. d'Avila Garcez (CoRR, 2013)

Feature Preprocessing with Restricted Boltzmann Machines for Music Similarity Learning. - Son N. Tran; Daniel Wolff; Tillman Weyde; Artur S. d'Avila Garcez (Semantic Audio, 2014)

Hybrid Long- and Short-Term Models of Folk Melodies. - Srikanth Cherla; Son N. Tran; Tillman Weyde; Artur S. d'Avila Garcez (ISMIR, 2015)

Generalising the Discriminative Restricted Boltzmann Machine. - Srikanth Cherla; Son N. Tran; Tillman Weyde; Artur S. d'Avila Garcez (CoRR, 2016)

Propositional Knowledge Representation in Restricted Boltzmann Machines. - Son N. Tran (CoRR, 2017)

Unsupervised Neural-Symbolic Integration. - Son N. Tran (CoRR, 2017)

The Recurrent Temporal Discriminative Restricted Boltzmann Machines. - Son N. Tran; Srikanth Cherla; Artur S. d'Avila Garcez; Tillman Weyde (CoRR, 2017)

Sentimental Analysis for AIML-Based E-Health Conversational Agents. - David Ireland; Hamed Hassanzadeh; Son N. Tran (ICONIP (2), 2018)

Improving Recurrent Neural Networks with Predictive Propagation for Sequence Labelling. - Son N. Tran; Qing Zhang 001; Anthony N. Nguyen; Xuan-Son Vu; Ngo Tung Son (ICONIP (1), 2018)

Human Identification via Unsupervised Feature Learning from UWB Radar Data. - Jie Yin 001; Son N. Tran; Qing Zhang 001 (PAKDD (1), 2018)

Multi-Resident Activity Monitoring in Smart Homes: A Case Study. - Son N. Tran; Qing Zhang 001; Vanessa Smallbon; Mohan Karunanithi (PerCom Workshops, 2018)

On Multi-resident Activity Recognition in Ambient Smart-Homes. - Son N. Tran; Qing Zhang 001; Mohan Karunanithi (CoRR, 2018)

dpUGC: Learn Differentially Private Representation for User Generated Contents (Best Paper Award, Third Place, Shared). - Xuan-Son Vu; Son N. Tran; Lili Jiang 002 (CICLing (1), 2019)

ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Downstream Task. - Xuan-Son Vu; Thanh Vu; Son N. Tran; Lili Jiang 002 (RANLP, 2019)

ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings. - Xuan-Son Vu; Thanh Vu; Son N. Tran; Lili Jiang 002 (CoRR, 2019)

dpUGC: Learn Differentially Private Representation for User Generated Contents. - Xuan-Son Vu; Son N. Tran; Lili Jiang 002 (CoRR, 2019)

Neural-symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. - Artur S. d'Avila Garcez; Marco Gori; Luís C. Lamb; Luciano Serafini; Michael Spranger; Son N. Tran (FLAP, 2019)

Data Augmentation with Generative Adversarial Networks for Grocery Product Image Recognition. - Yuchen Wei; Shuxiang Xu; Son N. Tran; Byeong Ho Kang 001 (ICARCV, 2020)

Neuro-Symbolic Probabilistic Argumentation Machines. - Régis Riveret; Son N. Tran; Artur S. d'Avila Garcez (KR, 2020)

On multi-resident activity recognition in ambient smart-homes. - Son N. Tran; Dung Nguyen 001; Ngo Tung Son; Xuan-Son Vu; Long Hoang; Qing Zhang 001; Mohan Karunanithi (Artif. Intell. Rev., 2020)

Deep Learning for Retail Product Recognition: Challenges and Techniques. - Yuchen Wei; Son N. Tran; Shuxiang Xu; Byeong Ho Kang 001; Matthew Springer (Comput. Intell. Neurosci., 2020)

Joint Deep Cross-Domain Transfer Learning for Emotion Recognition. - Dung Nguyen 001; Sridha Sridharan; Duc Thanh Nguyen; Simon Denman; Son N. Tran; Rui Zeng; Clinton Fookes (CoRR, 2020)

Mixed-dependency models for multi-resident activity recognition in smart homes. - Son N. Tran; Ngo Tung Son; Qing Zhang 001; Mohan Karunanithi (Multim. Tools Appl., 2020)

Probabilistic approaches for music similarity using restricted Boltzmann machines. - Son N. Tran; Ngo Tung Son; Artur S. d'Avila Garcez (Neural Comput. Appl., 2020)

Sequence Classification Restricted Boltzmann Machines With Gated Units. - Son N. Tran; Artur S. d'Avila Garcez; Tillman Weyde; Jie Yin 001; Qing Zhang 001; Mohan Karunanithi (IEEE Trans. Neural Networks Learn. Syst., 2020)

Compositional Neural Logic Programming. - Son N. Tran (IJCAI, 2021)

Fake Reviews Detection: A Survey. - Rami Mohawesh; Shuxiang Xu; Son N. Tran; Robert Ollington; Matthew Springer; Yaser Jararweh; Sumbal Maqsood (IEEE Access, 2021)

Hand gesture detection in tests performed by older adults. - Guan Huang 001; Son N. Tran; Quan Bai 001; Jane E. Alty (CoRR, 2021)

Logical Boltzmann Machines. - Son N. Tran; Artur S. d'Avila Garcez (CoRR, 2021)

Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection. - Renjie Li 001; Son N. Tran; Saurabh Garg 001; Katherine Lawler; Jane E. Alty; Quan Bai 001 (CoRR, 2021)

Analysis of concept drift in fake reviews detection. - Rami Mohawesh; Son N. Tran; Robert Ollington; Shuxiang Xu (Expert Syst. Appl., 2021)

Hand tremor detection in videos with cluttered background using neural network based approaches. - Xinyi Wang 009; Saurabh Garg 001; Son N. Tran; Quan Bai 001; Jane E. Alty (Health Inf. Sci. Syst., 2021)

Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network. - Muhammad Shakaib Iqbal; Hazrat Ali; Son N. Tran; Talha Iqbal (IET Comput. Vis., 2021)

A Self-learning Approach for Beggiatoa Coverage Estimation in Aquaculture. - Yanyu Chen 001; Yunjue Zhou; Son N. Tran; Mira Park 001; Scott Hadley; Myriam Lacharité; Quan Bai 001 (AI, 2022)

Wine Characterisation with Spectral Information and Predictive Artificial Intelligence. - Jianping Yao; Son N. Tran; Hieu Nguyen 004; Samantha Sawyer; Rocco Longo (ICONIP (7), 2022)

A Comprehensive Review on Deep Supervision: Theories and Applications. - Renjie Li 001; Xinyi Wang 009; Guan Huang 001; Wenli Yang; Kaining Zhang; Xiaotong Gu; Son N. Tran; Saurabh Garg 001; Jane E. Alty; Quan Bai 001 (CoRR, 2022)

A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors. - Sumbal Maqsood; Shuxiang Xu; Son N. Tran; Saurabh Garg 001; Matthew Springer; Mohan Karunanithi; Rami Mohawesh (Expert Syst. Appl., 2022)

Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition. - Dung Nguyen 001; Duc Thanh Nguyen; Rui Zeng; Thanh Thi Nguyen 001; Son N. Tran; Thin Nguyen; Sridha Sridharan; Clinton Fookes (IEEE Trans. Multim., 2022)

Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines. - Son N. Tran; Artur S. d'Avila Garcez (AAAI, 2023)

Multi-output Deep-Supervised Classifier Chains for Plant Pathology. - Jianping Yao; Son N. Tran (IJCNN, 2023)

Deep Learning for Effective Gender Classification of Tasmania Giant Crabs. - Jianping Yao; Son N. Tran; Lianxue Zhang; Jiaxin Ye; Ananda Maiti; Scott Hadley (IJCNN, 2023)

Rapid-Motion-Track: Markerless Tracking of Fast Human Motion with Deeper Learning. - Renjie Li 001; Chun Yu Lao; Rebecca J. St. George; Katherine Lawler; Saurabh Garg 001; Son N. Tran; Quan Bai 001; Jane E. Alty (CoRR, 2023)

Real-time automated detection of older adults' hand gestures in home and clinical settings. - Guan Huang 001; Son N. Tran; Quan Bai 001; Jane E. Alty (Neural Comput. Appl., 2023)

Machine learning for leaf disease classification: data, techniques and applications. - Jianping Yao; Son N. Tran; Samantha Sawyer; Saurabh Kumar Garg 001 (Artif. Intell. Rev., 2023)

Enhance Statistical Features with Changepoint Detection for Driver Behaviour Analysis. - Jamal Maktoubian; Son N. Tran; Anna Shillabeer; Muhammad Bilal Amin; Lawrence Sambrooks (PRICAI (4), 2024)

Deep cross-domain transfer for emotion recognition via joint learning. - Dung Nguyen 001; Duc Thanh Nguyen; Sridha Sridharan; Mohamed Abdelrazek 001; Simon Denman; Son N. Tran; Rui Zeng; Clinton Fookes (Multim. Tools Appl., 2024)

Parallel scale de-blur net for sharpening video images for remote clinical assessment of hand movements. - Renjie Li 001; Guan Huang 001; Xinyi Wang 009; Yanyu Chen 001; Son N. Tran; Saurabh Kumar Garg 001; Rebecca J. St George; Katherine Lawler; Jane E. Alty; Quan Bai 001 (Expert Syst. Appl., 2024)

A novel adaptive ensemble learning framework for automated Beggiatoa Spp. coverage estimation. - Yanyu Chen 001; Yunjue Zhou; Mira Park 001; Son N. Tran; Scott Hadley; Quan Bai 001 (Expert Syst. Appl., 2024)

Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches. - Jianping Yao; Son N. Tran; Saurabh Kumar Garg 001; Samantha Sawyer (ACM Comput. Surv., 2024)

Empirical Evaluation of Machine Learning Models for Fuel Consumption, Driver Identification, and Behavior Prediction. - Jamal Maktoubian; Son N. Tran; Anna Shillabeer; Muhammad Bilal Amin; Lawrence Sambrooks; Reza Khoshkangini (IEEE Trans. Intell. Transp. Syst., 2024)