Akhil Mathur

Akhil Mathur
PhD Student
[email address hidden]

Research Publications

Authors
Title
Year
Publication
Tao Bi, Temitayo Olugbade, Akhil Mathur, Catherine Holloway, Aneesha Singh, Enrico Costanza, Nadia Berthouze A Taxonomy of Noise in Voice Self-reports while Running 2022 Conference paper (text)
S Gan, Akhil Mathur, A Isopoussu, F Kawasar, Nic Lane, Nadia Berthouze FRuDA: Framework for Distributed Adversarial Domain Adaptation 2022 IEEE Transactions on Parallel and Distributed Systems, Journal article
Chongyang Wang, Temitayo Olugbade, Akhil Mathur, ACDC Williams, Nic Lane, N Bianchi-Berthouze Chronic-Pain Protective Behavior Detection with Deep Learning 2021 ACM Transactions on Computing for Healthcare, Journal article
Chongyang Wang, Y Gao, Akhil Mathur, A Williams, Nic Lane, N Bianchi-Berthouze Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data 2021 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Journal article
Akhil Mathur, A Isopoussu, F Kawsar, Nadia Berthouze, Nic Lane FlexAdapt: Flexible cycle-consistent adversarial domain adaptation 2020 Conference paper (text)
Akhil Mathur, Nadia Berthouze, Nic Lane Unsupervised domain adaptation under label space mismatch for speech classification 2020 Conference paper (text)
Akhil Mathur, F Kawsar, Nadia Berthouze, Nic Lane A Vision for Adaptive and Generalizable Audio-Sensing Systems 2019 Conference paper (text)
Akhil Mathur, A Isopoussu, F Kawsar, Nadia Berthouze, Nic Lane Mic2Mic: using cycle-consistent generative adversarial networks to overcome microphone variability in speech systems 2019 Conference paper (text)
Chongyang Wang, Temitayo Olugbade, Akhil Mathur, ACDC Williams, Nic Lane, Nadia Berthouze Recurrent Network based Automatic Detection of Chronic Pain Protective Behavior using MoCap and sEMG data 2019 Conference paper (text)
Akhil Mathur, A Isopoussu, Nadia Berthouze, Nic Lane, F Kawsar Unsupervised domain adaptation for robust sensory systems 2019 Conference paper (text)
Akhil Mathur, T Zhang, S Bhattacharya, P Veličković, L Joffe, Nic Lane, F Kawsar, P Lió Using Deep Data Augmentation Training to Address Software and Hardware Heterogeneities in Wearable and Smartphone Sensing Devices 2018 Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018, Conference paper (text)
F Kawsar, C Min, Akhil Mathur, A Montanari Earables for Personal-Scale Behavior Analytics 2018 IEEE Pervasive Computing, Journal article
Akhil Mathur, A Isopoussu, F Kawsar, R Smith, Nic Lane, Nadia Berthouze On Robustness of Cloud Speech APIs: An Early Characterization 2018 Conference paper (text)
Nic Lane, S Bhattacharya, Akhil Mathur, P Georgiev, C Forlivesi, F Kawsar Squeezing Deep Learning into Mobile and Embedded Devices 2017 IEEE Pervasive Computing, Journal article
Nic Lane, S Bhattacharya, Akhil Mathur, C Forlivesi, F Kawsar DXTK: Enabling resource-efficient deep learning on mobile and embedded devices with the DeepX toolkit 2016 MobiCASE 2016 - 8th EAI International Conference on Mobile Computing, Applications and Services, Conference paper (text)
Akhil Mathur, Nic Lane, F Kawsar Engagement-aware computing: Modelling user engagement from mobile contexts 2016 UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Conference paper (text)
Chongyang Wang, Y Gao, Akhil Mathur, ACDC Williams, Nic Lane, N Bianchi-Berthouze Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data 1900 Journal article