Sara Khalifa

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition.

Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Berrak Sisman, Björn W. Schuller, Carlos Busso

CoRR, 2024

emoDARTS: Joint Optimization of CNN and Sequential Neural Network Architectures for Superior Speech Emotion Recognition.

Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Berrak Sisman, Björn W. Schuller, Carlos Busso

IEEE Access, 2024

2023

Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition.

Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller

IEEE Trans. Affect. Comput., 2023

Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition.

Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller

IEEE Trans. Affect. Comput., 2023

Survey of Deep Representation Learning for Speech Emotion Recognition.

Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Junaid Qadir, Björn W. Schuller

IEEE Trans. Affect. Comput., 2023

Improving Speech Emotion Recognition Performance using Differentiable Architecture Search.

Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Berrak Sisman, Björn W. Schuller

CoRR, 2023

2022

Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition.

Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Julien Epps, Björn W. Schuller

IEEE Trans. Affect. Comput., 2022

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

Thejan Rajapakshe, Rajib Rana, Sara Khalifa

CoRR, 2022

Poster Abstract: Trade-off Analysis of Inference Accuracy and Resource Usage for Energy-Positive Activity Recognition.

Minh Tuan Tran, Muhammad Moid Sandhu, Sara Khalifa, Gowri Sankar Ramachandran, Raja Jurdak

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.

Margaux Edwards, Sara Khalifa

Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

Distilling Representational Similarity using Centered Kernel Alignment (CKA).

Aninda Saha, Alina Bialkowski, Sara Khalifa

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition.

Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Jiajun Liu, Björn W. Schuller

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.

Muhammad Moid Sandhu, Sara Khalifa, Raja Jurdak, Marius Portmann

IEEE Internet Things J., 2021

SolAR: Energy Positive Human Activity Recognition using Solar Cells.

Muhammad Moid Sandhu, Sara Khalifa, Kai Geissdoerfer, Raja Jurdak, Marius Portmann

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications, 2021

2020

EnTrans: Leveraging Kinetic Energy Harvesting Signal for Transportation Mode Detection.

Guohao Lan, Weitao Xu, Dong Ma, Sara Khalifa, Mahbub Hassan, Wen Hu

IEEE Trans. Intell. Transp. Syst., 2020

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

Thejan Rajapakshe, Siddique Latif, Rajib Rana, Sara Khalifa, Björn W. Schuller

CoRR, 2020

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

Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Junaid Qadir, Björn W. Schuller

CoRR, 2020

Towards Optimal Kinetic Energy Harvesting for the Batteryless IoT.

Muhammad Moid Sandhu, Kai Geissdoerfer, Sara Khalifa, Raja Jurdak, Marius Portmann, Brano Kusy

Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

Towards Energy Positive Sensing using Kinetic Energy Harvesters.

Muhammad Moid Sandhu, Kai Geissdoerfer, Sara Khalifa, Raja Jurdak, Marius Portmann, Brano Kusy

Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications, 2020

Poster Abstract: Federated Learning for Speech Emotion Recognition Applications.

Siddique Latif, Sara Khalifa, Rajib Rana, Raja Jurdak

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.

Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Augmenting Generative Adversarial Networks for Speech Emotion Recognition.

Siddique Latif, Muhammad Asim, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller

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.

Weitao Xu, Guohao Lan, Qi Lin, Sara Khalifa, Mahbub Hassan, Neil Bergmann, Wen Hu

IEEE Trans. Mob. Comput., 2019

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

Thejan Rajapakshe, Rajib Rana, Siddique Latif, Sara Khalifa, Björn W. Schuller

CoRR, 2019

Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion.

Rajib Rana, Siddique Latif, Sara Khalifa, Raja Jurdak, Julien Epps

CoRR, 2019

Direct Modelling of Speech Emotion from Raw Speech.

Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Julien Epps

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.

Sara Khalifa, Guohao Lan, Mahbub Hassan, Aruna Seneviratne, Sajal K. Das

IEEE Trans. Mob. Comput., 2018

Kinetic-Powered Health Wearables: Challenges and Opportunities.

Mahbub Hassan, Wen Hu, Guohao Lan, Aruna Seneviratne, Sara Khalifa, Sajal K. Das

Computer, 2018

2017

A Survey of Wearable Devices and Challenges.

Suranga Seneviratne, Yining Hu, Tham Nguyen, Guohao Lan, Sara Khalifa, Kanchana Thilakarathna, Mahbub Hassan, Aruna Seneviratne

IEEE Commun. Surv. Tutorials, 2017

VEH-COM: Demodulating vibration energy harvesting for short range communication.

Guohao Lan, Weitao Xu, Sara Khalifa, Mahbub Hassan, Wen Hu

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.

Weitao Xu, Guohao Lan, Qi Lin, Sara Khalifa, Neil Bergmann, Mahbub Hassan, Wen Hu

Proceedings of the 24th Annual Network and Distributed System Security Symposium, 2017

Energy-efficient human activity recognition for self-powered wearable devices.

Sara Khalifa

Proceedings of the Australasian Computer Science Week Multiconference, 2017

2016

Energy-efficient Human Activity Recognition for Self-powered Wearable Devices.

Sara Khalifa

PhD thesis, 2016

Feasibility and accuracy of hotword detection using vibration energy harvester.

Sara Khalifa, Mahbub Hassan, Aruna Seneviratne

Proceedings of the 17th IEEE International Symposium on A World of Wireless, 2016

Transportation mode detection using kinetic energy harvesting wearables.

Guohao Lan, Weitao Xu, Sara Khalifa, Mahbub Hassan, Wen Hu

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.

Sara Khalifa, Guohao Lan, Mahbub Hassan, Wen Hu

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.

Marzieh Jalal Abadi, Sara Khalifa, Salil S. Kanhere, Mahbub Hassan

Proceedings of the 41st IEEE Conference on Local Computer Networks Workshops, 2016

2015

Energy-Harvesting Wearables for Activity-Aware Services.

Sara Khalifa, Mahbub Hassan, Aruna Seneviratne, Sajal K. Das

IEEE Internet Comput., 2015

Pervasive self-powered human activity recognition without the accelerometer.

Sara Khalifa, Mahbub Hassan, Aruna Seneviratne

Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communications, 2015

Step Detection from Power Generation Pattern in Energy-Harvesting Wearable Devices.

Sara Khalifa, Mahbub Hassan, Aruna Seneviratne

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.

Guohao Lan, Sara Khalifa, Mahbub Hassan, Wen Hu

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.

Sara Khalifa, Mahbub Hassan, Aruna Seneviratne

Proceedings of the Seventh International Conference on Mobile Computing and Ubiquitous Networking, 2014

2013

Converting context to indoor position using built-in smartphone sensors.

Sara Khalifa

Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications Workshops, 2013

Adaptive pedestrian activity classification for indoor dead reckoning systems.

Sara Khalifa, Mahbub Hassan, Aruna Seneviratne

Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2013

2012

Evaluating mismatch probability of activity-based map matching in indoor positioning.

Sara Khalifa, Mahbub Hassan

Proceedings of the 2012 International Conference on Indoor Positioning and Indoor Navigation, 2012