Rajib Rana
Orcid: 0000-0002-0506-2409
According to our database1,
Rajib Rana
authored at least 75 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
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
2023
Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review.
Comput. Biol. Medicine, March, 2023
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
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
IEEE Trans. Affect. Comput., 2022
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
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
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
2019
CoRR, 2019
CoRR, 2019
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
CoRR, 2018
Cross Corpus Speech Emotion Classification- An Effective Transfer Learning Technique.
CoRR, 2018
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
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
Int. J. Imaging Syst. Technol., 2017
CoRR, 2017
IEEE Access, 2017
Mobile Health in the Developing World: Review of Literature and Lessons From a Case Study.
IEEE Access, 2017
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017
2016
EAI Endorsed Trans. Scalable Inf. Syst., 2016
IEEE Pervasive Comput., 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
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016
Proceedings of the Inclusive Smart Cities and Digital Health, 2016
2015
Pervasive Mob. Comput., 2015
Transforming knowledge capture in healthcare: Opportunistic and Context-aware affect Sensing on Smartphones.
CoRR, 2015
2014
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
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
Proceedings of the 11th ACM Conference on Embedded Network Sensor Systems, 2013
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
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
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
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011
2010
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
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