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ORCIDSon N. Tran
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2020 – today
- 2024
[j18]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): 153:1-153:37 (2024)- [j17]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: 121093 (2024) - [j16]Yanyu Chen, Yunjue Zhou, Mira Park, Son N. Tran, Scott Hadley, Quan Bai:
A novel adaptive ensemble learning framework for automated Beggiatoa Spp. coverage estimation. Expert Syst. Appl. 237(Part B): 121416 (2024) - [j15]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): 22455-22472 (2024) - 2023
- [j14]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): 3571-3616 (2023) - [j13]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): 8143-8156 (2023) - [c16]Son N. Tran, Artur S. d'Avila Garcez:
Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines. AAAI 2023: 6558-6565 - [c15]Jianping Yao, Son N. Tran:
Multi-output Deep-Supervised Classifier Chains for Plant Pathology. IJCNN 2023: 1-8 - [c14]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: 1-8 - [i19]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 abs/2302.08505 (2023) - [i18]Jianping Yao, Son N. Tran, Samantha Sawyer, Saurabh Garg:
Machine Learning for Leaf Disease Classification: Data, Techniques and Applications. CoRR abs/2310.12509 (2023) - [i17]Jianping Yao, Son N. Tran, Saurabh Kumar Garg, Samantha Sawyer:
Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches. CoRR abs/2310.16273 (2023) - 2022
- [j12]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: 116788 (2022) - [j11]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: 1313-1324 (2022) - [c13]Yanyu Chen, Yunjue Zhou, Son N. Tran, Mira Park, Scott Hadley, Myriam Lacharité, Quan Bai:
A Self-learning Approach for Beggiatoa Coverage Estimation in Aquaculture. AI 2022: 405-416 - [c12]Jianping Yao, Son N. Tran, Hieu Nguyen, Samantha Sawyer, Rocco Longo:
Wine Characterisation with Spectral Information and Predictive Artificial Intelligence. ICONIP (7) 2022: 247-259 - [i16]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 abs/2207.02376 (2022) - 2021
- [j10]Rami Mohawesh, Shuxiang Xu, Son N. Tran, Robert Ollington, Matthew Springer, Yaser Jararweh, Sumbal Maqsood:
Fake Reviews Detection: A Survey. IEEE Access 9: 65771-65802 (2021) - [j9]Rami Mohawesh, Son N. Tran, Robert Ollington, Shuxiang Xu:
Analysis of concept drift in fake reviews detection. Expert Syst. Appl. 169: 114318 (2021) - [j8]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): 30 (2021) - [j7]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): 428-439 (2021) - [c11]Son N. Tran:
Compositional Neural Logic Programming. IJCAI 2021: 3059-3066 - [i15]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 abs/2105.04356 (2021) - [i14]Guan Huang, Son N. Tran, Quan Bai, Jane E. Alty:
Hand gesture detection in tests performed by older adults. CoRR abs/2110.14461 (2021) - [i13]Son N. Tran, Artur S. d'Avila Garcez:
Logical Boltzmann Machines. CoRR abs/2112.05841 (2021) - [i12]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 abs/2112.10275 (2021) - 2020
- [j6]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): 3929-3945 (2020) - [j5]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: 8875910:1-8875910:23 (2020) - [j4]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): 23445-23460 (2020) - [j3]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): 3999-4008 (2020) - [j2]Son N. Tran, Artur S. 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): 4806-4815 (2020) - [c10]Yuchen Wei, Shuxiang Xu, Son N. Tran, Byeong Ho Kang:
Data Augmentation with Generative Adversarial Networks for Grocery Product Image Recognition. ICARCV 2020: 963-968 - [c9]Régis Riveret, Son N. Tran, Artur S. d'Avila Garcez:
Neuro-Symbolic Probabilistic Argumentation Machines. KR 2020: 871-881 - [i11]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 abs/2003.11136 (2020) - [i10]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 abs/2004.13236 (2020)
2010 – 2019
- 2019
- [j1]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): 611-632 (2019) - [c8]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: 316-331 - [c7]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: 1285-1294 - [i9]Xuan-Son Vu, Thanh Vu, Son N. Tran, Lili Jiang:
ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings. CoRR abs/1903.04433 (2019) - [i8]Xuan-Son Vu, Son N. Tran, Lili Jiang:
dpUGC: Learn Differentially Private Representation for User Generated Contents. CoRR abs/1903.10453 (2019) - [i7]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 abs/1905.06088 (2019) - 2018
- [c6]David Ireland, Hamed Hassanzadeh, Son N. Tran:
Sentimental Analysis for AIML-Based E-Health Conversational Agents. ICONIP (2) 2018: 41-51 - [c5]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: 452-462 - [c4]Jie Yin, Son N. Tran, Qing Zhang:
Human Identification via Unsupervised Feature Learning from UWB Radar Data. PAKDD (1) 2018: 322-334 - [c3]Son N. Tran, Qing Zhang, Vanessa Smallbon, Mohan Karunanithi:
Multi-Resident Activity Monitoring in Smart Homes: A Case Study. PerCom Workshops 2018: 698-703 - [i6]Son N. Tran, Qing Zhang, Mohan Karunanithi:
On Multi-resident Activity Recognition in Ambient Smart-Homes. CoRR abs/1806.06611 (2018) - 2017
- [i5]Son N. Tran:
Propositional Knowledge Representation in Restricted Boltzmann Machines. CoRR abs/1705.10899 (2017) - [i4]Son N. Tran:
Unsupervised Neural-Symbolic Integration. CoRR abs/1706.01991 (2017) - [i3]Son N. Tran, Srikanth Cherla, Artur S. d'Avila Garcez, Tillman Weyde:
The Recurrent Temporal Discriminative Restricted Boltzmann Machines. CoRR abs/1710.02245 (2017) - 2016
- [i2]Srikanth Cherla, Son N. Tran, Tillman Weyde, Artur S. d'Avila Garcez:
Generalising the Discriminative Restricted Boltzmann Machine. CoRR abs/1604.01806 (2016) - 2015
- [c2]Srikanth Cherla, Son N. Tran, Tillman Weyde, Artur S. d'Avila Garcez:
Hybrid Long- and Short-Term Models of Folk Melodies. ISMIR 2015: 584-590 - 2014
- [c1]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 - 2013
- [i1]Son N. Tran, Artur S. d'Avila Garcez:
Adaptive Feature Ranking for Unsupervised Transfer Learning. CoRR abs/1312.6190 (2013)
Coauthor Index
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last updated on 2024-07-25 20:20 CEST by the dblp team
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