Sara Khalifa

Orcid: 0000-0002-3417-2834

According to our database1, Sara Khalifa authored at least 45 papers between 2012 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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
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 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

Domain Adapting Speech Emotion Recognition modals to real-world scenario with Deep Reinforcement Learning.
CoRR, 2022

Poster Abstract: Trade-off Analysis of Inference Accuracy and Resource Usage for Energy-Positive Activity Recognition.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

Demo Abstract: A Real Time Control System for Replaying Motion Data.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

Distilling Representational Similarity using Centered Kernel Alignment (CKA).
Proceedings of the 33rd British Machine Vision Conference 2022, 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
Task Scheduling for Energy-Harvesting-Based IoT: A Survey and Critical Analysis.
IEEE Internet Things J., 2021

SolAR: Energy Positive Human Activity Recognition using Solar Cells.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications, 2021

2020
EnTrans: Leveraging Kinetic Energy Harvesting Signal for Transportation Mode Detection.
IEEE Trans. Intell. Transp. Syst., 2020

Deep Reinforcement Learning with Pre-training for Time-efficient Training of Automatic Speech Recognition.
CoRR, 2020

Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends.
CoRR, 2020

Towards Optimal Kinetic Energy Harvesting for the Batteryless IoT.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

Towards Energy Positive Sensing using Kinetic Energy Harvesters.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications, 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
KEH-Gait: Using Kinetic Energy Harvesting for Gait-based User Authentication Systems.
IEEE Trans. Mob. Comput., 2019

Pre-training in Deep Reinforcement Learning for Automatic Speech Recognition.
CoRR, 2019

Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion.
CoRR, 2019

Direct Modelling of Speech Emotion from Raw Speech.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018
HARKE: Human Activity Recognition from Kinetic Energy Harvesting Data in Wearable Devices.
IEEE Trans. Mob. Comput., 2018

Kinetic-Powered Health Wearables: Challenges and Opportunities.
Computer, 2018

2017
A Survey of Wearable Devices and Challenges.
IEEE Commun. Surv. Tutorials, 2017

VEH-COM: Demodulating vibration energy harvesting for short range communication.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017

KEH-Gait: Towards a Mobile Healthcare User Authentication System by Kinetic Energy Harvesting.
Proceedings of the 24th Annual Network and Distributed System Security Symposium, 2017

Energy-efficient human activity recognition for self-powered wearable devices.
Proceedings of the Australasian Computer Science Week Multiconference, 2017

2016
Energy-efficient Human Activity Recognition for Self-powered Wearable Devices.
PhD thesis, 2016

Feasibility and accuracy of hotword detection using vibration energy harvester.
Proceedings of the 17th IEEE International Symposium on A World of Wireless, 2016

Transportation mode detection using kinetic energy harvesting wearables.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

A Bayesian framework for energy-neutral activity monitoring with self-powered wearable sensors.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

Energy Harvesting Wearables Can Tell Which Train Route You Have Taken.
Proceedings of the 41st IEEE Conference on Local Computer Networks Workshops, 2016

2015
Energy-Harvesting Wearables for Activity-Aware Services.
IEEE Internet Comput., 2015

Pervasive self-powered human activity recognition without the accelerometer.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communications, 2015

Step Detection from Power Generation Pattern in Energy-Harvesting Wearable Devices.
Proceedings of the IEEE International Conference on Data Science and Data Intensive Systems, 2015

Estimating Calorie Expenditure from Output Voltage of Piezoelectric Energy Harvester - an Experimental Feasibility Study.
Proceedings of the 10th EAI International Conference on Body Area Networks, 2015

2014
Feature selection for floor-changing activity recognition in multi-floor pedestrian navigation.
Proceedings of the Seventh International Conference on Mobile Computing and Ubiquitous Networking, 2014

2013
Converting context to indoor position using built-in smartphone sensors.
Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications Workshops, 2013

Adaptive pedestrian activity classification for indoor dead reckoning systems.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2013

2012
Evaluating mismatch probability of activity-based map matching in indoor positioning.
Proceedings of the 2012 International Conference on Indoor Positioning and Indoor Navigation, 2012


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