Close
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 |