Rajib Rana

Orcid: 0000-0002-0506-2409

According to our database1, Rajib Rana authored at least 73 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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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

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 Interspeech 2020, 2020

Augmenting Generative Adversarial Networks for Speech Emotion Recognition.
Proceedings of the Interspeech 2020, 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 Interspeech 2019, 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 Interspeech 2018, 2018

Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study.
Proceedings of the Interspeech 2018, 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
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


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