2025
Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition.
CoRR, January, 2025
Dual-phase neural networks for feature extraction and ensemble learning for recognizing human health activities.
Appl. Soft Comput., 2025
2024
AI-assisted summary of suicide risk Formulation.
CoRR, 2024
Raw Audio Classification with Cosine Convolutional Neural Network (CosCovNN).
CoRR, 2024
Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning.
CoRR, 2024
A Lightweight Attention-based Deep Network via Multi-Scale Feature Fusion for Multi-View Facial Expression Recognition.
CoRR, 2024
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition.
CoRR, 2024
emoDARTS: Joint Optimization of CNN and Sequential Neural Network Architectures for Superior Speech Emotion Recognition.
IEEE Access, 2024
Domain Adapting Deep Reinforcement Learning for Real-World Speech Emotion Recognition.
IEEE Access, 2024
2023
Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review.
Comput. Biol. Medicine, March, 2023
Speech Synthesis With Mixed Emotions.
IEEE Trans. Affect. Comput., 2023
Emotion Intensity and its Control for Emotional Voice Conversion.
IEEE Trans. Affect. Comput., 2023
Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition.
IEEE Trans. Affect. Comput., 2023
Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition.
IEEE Trans. Affect. Comput., 2023
Survey of Deep Representation Learning for Speech Emotion Recognition.
IEEE Trans. Affect. Comput., 2023
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering.
Trans. Assoc. Comput. Linguistics, 2023
Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation.
CoRR, 2023
Improving Speech Emotion Recognition Performance using Differentiable Architecture Search.
CoRR, 2023
2022
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition.
IEEE Trans. Affect. Comput., 2022
AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for Prosocial Path.
CoRR, 2022
Domain Adapting Speech Emotion Recognition modals to real-world scenario with Deep Reinforcement Learning.
CoRR, 2022
SigRep: Toward Robust Wearable Emotion Recognition With Contrastive Representation Learning.
IEEE Access, 2022
A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition.
Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022
2021
Towards a Compressive-Sensing-Based Lightweight Encryption Scheme for the Internet of Things.
IEEE Trans. Mob. Comput., 2021
Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio Data.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
2020
Deep Reinforcement Learning with Pre-training for Time-efficient Training of Automatic Speech Recognition.
CoRR, 2020
Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data.
CoRR, 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends.
CoRR, 2020
High-Fidelity Audio Generation and Representation Learning With Guided Adversarial Autoencoder.
IEEE Access, 2020
Poster Abstract: Federated Learning for Speech Emotion Recognition Applications.
Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-Corpus Setting for Speech Emotion Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Augmenting Generative Adversarial Networks for Speech Emotion Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
2019
Pre-training in Deep Reinforcement Learning for Automatic Speech Recognition.
CoRR, 2019
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion.
CoRR, 2019
Disentangled Representation Learning with Information Maximizing Autoencoder.
CoRR, 2019
Automated Screening for Distress: A Perspective for the Future.
CoRR, 2019
Direct Modelling of Speech Emotion from Raw Speech.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
2018
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness.
CoRR, 2018
Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks.
CoRR, 2018
Abnormal Heartbeat Detection Using Recurrent Neural Networks.
CoRR, 2018
Cross Corpus Speech Emotion Classification- An Effective Transfer Learning Technique.
CoRR, 2018
Image denoising and restoration with CNN-LSTM Encoder Decoder with Direct Attention.
CoRR, 2018
A Novel Framework for Distress Detection through an Automated Speech Processing System.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018
Transfer Learning for Improving Speech Emotion Classification Accuracy.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
2017
Evaluating the performance of BSBL methodology for EEG source localization on a realistic head model.
Int. J. Imaging Syst. Technol., 2017
EEG source localization using a sparsity prior based on Brodmann areas.
Int. J. Imaging Syst. Technol., 2017
Variational Autoencoders for Learning Latent Representations of Speech Emotion.
CoRR, 2017
IEEE Access Special Section Editorial: Health Informatics for the Developing World.
IEEE Access, 2017
Mobile Health in the Developing World: Review of Literature and Lessons From a Case Study.
IEEE Access, 2017
Kryptein: a compressive-sensing-based encryption scheme for the internet of things.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017
2016
wHealth - Transforming Telehealth Services.
EAI Endorsed Trans. Scalable Inf. Syst., 2016
Opportunistic and Context-Aware Affect Sensing on Smartphones.
IEEE Pervasive Comput., 2016
Gated Recurrent Unit (GRU) for Emotion Classification from Noisy Speech.
CoRR, 2016
Emotion Classification from Noisy Speech - A Deep Learning Approach.
CoRR, 2016
CScrypt: A Compressive-Sensing-Based Encryption Engine for the Internet of Things: Demo Abstract.
Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016, 2016
Poster: Context-driven Mood Mining.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016
A Model for Automated Affect Recognition on Smartphone-Cloud Architecture.
Proceedings of the Inclusive Smart Cities and Digital Health, 2016
2015
Ear-Phone: A context-aware noise mapping using smart phones.
Pervasive Mob. Comput., 2015
Sparse Bayesian Learning for EEG Source Localization.
CoRR, 2015
wHealth - Transforming Telehealth Services.
CoRR, 2015
Transforming knowledge capture in healthcare: Opportunistic and Context-aware affect Sensing on Smartphones.
CoRR, 2015
2014
Guiding Ebola Patients to Suitable Health Facilities: An SMS-based Approach.
CoRR, 2014
SimpleTrack: Adaptive Trajectory Compression with Deterministic Projection Matrix for Mobile Sensor Networks.
CoRR, 2014
Novel Methods for Activity Classification and Occupany Prediction Enabling Fine-grained HVAC Control.
CoRR, 2014
Continuous Gait Velocity Estimation using Houseohld Motion Detectors.
CoRR, 2014
2013
A Deterministic Construction of Projection matrix for Adaptive Trajectory Compression.
CoRR, 2013
Signal Reconstruction from Rechargeable Wireless Sensor Networks using Sparse Random Projections.
CoRR, 2013
Passive In-home Estimation of Gait Velocity From Motion Sensors.
CoRR, 2013
Real-time classification via sparse representation in acoustic sensor networks.
Proceedings of the 11th ACM Conference on Embedded Network Sensor Systems, 2013
Experiences with Sensors for Energy Efficiency in Commercial Buildings.
Proceedings of the Real-World Wireless Sensor Networks, 2013
Determination of Activities of Daily Living of independent living older people using environmentally placed sensors.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Distributed sparse approximation for frog sound classification.
Proceedings of the 11th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2012), 2012
2011
Addressing three wireless sensor network challenges using sparse approximation methods.
PhD thesis, 2011
Sparse Temporal Representations for Facial Expression Recognition.
Proceedings of the Advances in Image and Video Technology - 5th Pacific Rim Symposium, 2011
An Adaptive Algorithm for Compressive Approximation of Trajectory (AACAT) for Delay Tolerant Networks.
Proceedings of the Wireless Sensor Networks - 8th European Conference, 2011
Compressive Sensing for Gait Recognition.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011
2010
Ear-phone: an end-to-end participatory urban noise mapping system.
Proceedings of the 9th International Conference on Information Processing in Sensor Networks, 2010
Energy-Aware Sparse Approximation Technique (EAST) for Rechargeable Wireless Sensor Networks.
Proceedings of the Wireless Sensor Networks, 7th European Conference, 2010
2009
Ear-Phone assessment of noise pollution with mobile phones.
Proceedings of the 7th International Conference on Embedded Networked Sensor Systems, 2009
Energy efficient information collection in wireless sensor networks using adaptive compressive sensing.
Proceedings of the 34th Annual IEEE Conference on Local Computer Networks, 2009