Son N. Tran

61 papers A* 3B 3C 1Misc 2Journal 42Unranked 10
YearRankTypeTitle / Venue / Authors
2025 B conf
ICDAR 25: Intelligent Cross-Data Analysis and Retrieval.
ICMR
Takahiro Komamizu, Marc A. Kastner, Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Son N. Tran
2025 J jnl
Multi-output Deep-Supervised Classifier Chains for Plant Pathology.
CoRR
Jianping Yao, Son N. Tran
2025 — conf
On Knowledge-Informed Deep Learning for Modeling Complex Spatiotemporal Systems.
AI (2)
Minh Ngoc Vu, Son N. Tran
2025 J jnl
Parallel Multi-Scale Deep Supervision Net for Hand Key Point Detection.
IEEE Trans. Big Data
Renjie Li, Son N. Tran, Saurabh Kumar Garg, Katherine Lawler, Jane E. Alty, Quan Bai
2025 J jnl
Reasoning in Neurosymbolic AI.
CoRR
Son N. Tran, Edjard Mota, Artur d'Avila Garcez
2025 J jnl
Wine Characterisation with Spectral Information and Predictive Artificial Intelligence.
CoRR
Jianping Yao, Son N. Tran, Hieu Nguyen, Samantha Sawyer, Rocco Longo
2024 J jnl
A novel adaptive ensemble learning framework for automated
Expert Syst. Appl.
Yanyu Chen, Yunjue Zhou, Mira Park, Son N. Tran, Scott Hadley, Quan Bai
2024 J jnl
Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches.
ACM Comput. Surv.
Jianping Yao, Son N. Tran, Saurabh Kumar Garg, Samantha Sawyer
2024 J jnl
Deep cross-domain transfer for emotion recognition via joint learning.
Multim. Tools Appl.
Dung Nguyen, Duc Thanh Nguyen, Sridha Sridharan, Mohamed Abdelrazek, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes
2024 J jnl
Empirical Evaluation of Machine Learning Models for Fuel Consumption, Driver Identification, and Behavior Prediction.
IEEE Trans. Intell. Transp. Syst.
Jamal Maktoubian, Son N. Tran, Anna Shillabeer, Muhammad Bilal Amin, Lawrence Sambrooks, Reza Khoshkangini
2024 — conf
Enhance Statistical Features with Changepoint Detection for Driver Behaviour Analysis.
PRICAI (4)
Jamal Maktoubian, Son N. Tran, Anna Shillabeer, Muhammad Bilal Amin, Lawrence Sambrooks
2024 J jnl
Parallel scale de-blur net for sharpening video images for remote clinical assessment of hand movements.
Expert Syst. Appl.
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
2023 B conf
Deep Learning for Effective Gender Classification of Tasmania Giant Crabs.
IJCNN
Jianping Yao, Son N. Tran, Lianxue Zhang, Jiaxin Ye, Ananda Maiti, Scott Hadley
2023 J jnl
Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches.
CoRR
Jianping Yao, Son N. Tran, Saurabh Kumar Garg, Samantha Sawyer
2023 J jnl
Machine Learning for Leaf Disease Classification: Data, Techniques and Applications.
CoRR
Jianping Yao, Son N. Tran, Samantha Sawyer, Saurabh Garg
2023 J jnl
Machine learning for leaf disease classification: data, techniques and applications.
Artif. Intell. Rev.
Jianping Yao, Son N. Tran, Samantha Sawyer, Saurabh Kumar Garg
2023 B conf
Multi-output Deep-Supervised Classifier Chains for Plant Pathology.
IJCNN
Jianping Yao, Son N. Tran
2023 A* conf
Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines.
AAAI
Son N. Tran, Artur S. d'Avila Garcez
2023 J jnl
Rapid-Motion-Track: Markerless Tracking of Fast Human Motion with Deeper Learning.
CoRR
Renjie Li, Chun Yu Lao, Rebecca J. St. George, Katherine Lawler, Saurabh Garg, Son N. Tran, Quan Bai, Jane E. Alty
2023 J jnl
Real-time automated detection of older adults' hand gestures in home and clinical settings.
Neural Comput. Appl.
Guan Huang, Son N. Tran, Quan Bai, Jane E. Alty
2022 J jnl
A Comprehensive Review on Deep Supervision: Theories and Applications.
CoRR
Renjie Li, Xinyi Wang, Guan Huang, Wenli Yang, Kaining Zhang, Xiaotong Gu, Son N. Tran, Saurabh Garg, Jane E. Alty, Quan Bai
2022 Misc conf
A Self-learning Approach for Beggiatoa Coverage Estimation in Aquaculture.
AI
Yanyu Chen, Yunjue Zhou, Son N. Tran, Mira Park, Scott Hadley, Myriam Lacharité, Quan Bai
2022 J jnl
A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors.
Expert Syst. Appl.
Sumbal Maqsood, Shuxiang Xu, Son N. Tran, Saurabh Garg, Matthew Springer, Mohan Karunanithi, Rami Mohawesh
2022 J jnl
Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition.
IEEE Trans. Multim.
Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
2022 — conf
Wine Characterisation with Spectral Information and Predictive Artificial Intelligence.
ICONIP (7)
Jianping Yao, Son N. Tran, Hieu Nguyen, Samantha Sawyer, Rocco Longo
2021 J jnl
Analysis of concept drift in fake reviews detection.
Expert Syst. Appl.
Rami Mohawesh, Son N. Tran, Robert Ollington, Shuxiang Xu
2021 J jnl
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network.
CoRR
Muhammad Shakaib Iqbal, Hazrat Ali, Son N. Tran, Talha Iqbal
2021 J jnl
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network.
IET Comput. Vis.
Muhammad Shakaib Iqbal, Hazrat Ali, Son N. Tran, Talha Iqbal
2021 A* conf
Compositional Neural Logic Programming.
IJCAI
Son N. Tran
2021 J jnl
Fake Reviews Detection: A Survey.
IEEE Access
Rami Mohawesh, Shuxiang Xu, Son N. Tran, Robert Ollington, Matthew Springer, Yaser Jararweh, Sumbal Maqsood
2021 J jnl
Hand gesture detection in tests performed by older adults.
CoRR
Guan Huang, Son N. Tran, Quan Bai, Jane E. Alty
2021 J jnl
Hand tremor detection in videos with cluttered background using neural network based approaches.
Health Inf. Sci. Syst.
Xinyi Wang, Saurabh Garg, Son N. Tran, Quan Bai, Jane E. Alty
2021 J jnl
Logical Boltzmann Machines.
CoRR
Son N. Tran, Artur S. d'Avila Garcez
2021 J jnl
Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection.
CoRR
Renjie Li, Son N. Tran, Saurabh Garg, Katherine Lawler, Jane E. Alty, Quan Bai
2020 C conf
Data Augmentation with Generative Adversarial Networks for Grocery Product Image Recognition.
ICARCV
Yuchen Wei, Shuxiang Xu, Son N. Tran, Byeong Ho Kang
2020 J jnl
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition.
CoRR
Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
2020 J jnl
Deep Learning for Retail Product Recognition: Challenges and Techniques.
Comput. Intell. Neurosci.
Yuchen Wei, Son N. Tran, Shuxiang Xu, Byeong Ho Kang, Matthew Springer
2020 J jnl
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition.
CoRR
Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes
2020 J jnl
Mixed-dependency models for multi-resident activity recognition in smart homes.
Multim. Tools Appl.
Son N. Tran, Ngo Tung Son, Qing Zhang, Mohan Karunanithi
2020 A* conf
Neuro-Symbolic Probabilistic Argumentation Machines.
KR
Régis Riveret, Son N. Tran, Artur S. d'Avila Garcez
2020 J jnl
On multi-resident activity recognition in ambient smart-homes.
Artif. Intell. Rev.
Son N. Tran, Dung Nguyen, Ngo Tung Son, Xuan-Son Vu, Long Hoang, Qing Zhang, Mohan Karunanithi
2020 J jnl
Probabilistic approaches for music similarity using restricted Boltzmann machines.
Neural Comput. Appl.
Son N. Tran, Ngo Tung Son, Artur S. d'Avila Garcez
2020 J jnl
Sequence Classification Restricted Boltzmann Machines With Gated Units.
IEEE Trans. Neural Networks Learn. Syst.
Son N. Tran, Artur S. d'Avila Garcez, Tillman Weyde, Jie Yin, Qing Zhang, Mohan Karunanithi
2019 J jnl
ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings.
CoRR
Xuan-Son Vu, Thanh Vu, Son N. Tran, Lili Jiang
2019 Misc conf
ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Downstream Task.
RANLP
Xuan-Son Vu, Thanh Vu, Son N. Tran, Lili Jiang
2019 J jnl
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning.
CoRR
Artur S. d'Avila Garcez, Marco Gori, Luís C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran
2019 J jnl
Neural-symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning.
FLAP
Artur S. d'Avila Garcez, Marco Gori, Luís C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran
2019 — conf
dpUGC: Learn Differentially Private Representation for User Generated Contents (Best Paper Award, Third Place, Shared).
CICLing (1)
Xuan-Son Vu, Son N. Tran, Lili Jiang
2019 J jnl
dpUGC: Learn Differentially Private Representation for User Generated Contents.
CoRR
Xuan-Son Vu, Son N. Tran, Lili Jiang
2018 — conf
Human Identification via Unsupervised Feature Learning from UWB Radar Data.
PAKDD (1)
Jie Yin, Son N. Tran, Qing Zhang
2018 — conf
Improving Recurrent Neural Networks with Predictive Propagation for Sequence Labelling.
ICONIP (1)
Son N. Tran, Qing Zhang, Anthony N. Nguyen, Xuan-Son Vu, Ngo Tung Son
2018 — conf
Multi-Resident Activity Monitoring in Smart Homes: A Case Study.
PerCom Workshops
Son N. Tran, Qing Zhang, Vanessa Smallbon, Mohan Karunanithi
2018 J jnl
On Multi-resident Activity Recognition in Ambient Smart-Homes.
CoRR
Son N. Tran, Qing Zhang, Mohan Karunanithi
2018 — conf
Sentimental Analysis for AIML-Based E-Health Conversational Agents.
ICONIP (2)
David Ireland, Hamed Hassanzadeh, Son N. Tran
2017 J jnl
Propositional Knowledge Representation in Restricted Boltzmann Machines.
CoRR
Son N. Tran
2017 J jnl
The Recurrent Temporal Discriminative Restricted Boltzmann Machines.
CoRR
Son N. Tran, Srikanth Cherla, Artur S. d'Avila Garcez, Tillman Weyde
2017 J jnl
Unsupervised Neural-Symbolic Integration.
CoRR
Son N. Tran
2016 J jnl
Generalising the Discriminative Restricted Boltzmann Machine.
CoRR
Srikanth Cherla, Son N. Tran, Tillman Weyde, Artur S. d'Avila Garcez
2015 — conf
Hybrid Long- and Short-Term Models of Folk Melodies.
ISMIR
Srikanth Cherla, Son N. Tran, Tillman Weyde, Artur S. d'Avila Garcez
2014 — conf
Feature Preprocessing with Restricted Boltzmann Machines for Music Similarity Learning.
Semantic Audio
Son N. Tran, Daniel Wolff, Tillman Weyde, Artur S. d'Avila Garcez
2013 J jnl
Adaptive Feature Ranking for Unsupervised Transfer Learning.
CoRR
Son N. Tran, Artur S. d'Avila Garcez