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ORCIDErika Bondareva
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2020 – today
- 2023
[c8]Erika Bondareva
, Georgios Rizos, Jing Han, Cecilia Mascolo:
Embracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection. CinC 2023: 1-4- [c7]Jake Stuchbury-Wass, Erika Bondareva, Kayla-Jade Butkow, Sanja Scepanovic, Zoran Radivojevic, Cecilia Mascolo:
Heart Rate Extraction from Abdominal Audio Signals. ICASSP 2023: 1-5 - [c6]Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo:
Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. KDD 2023: 3914-3925 - [i5]Jake Stuchbury-Wass, Erika Bondareva, Kayla-Jade Butkow, Sanja Scepanovic, Zoran Radivojevic, Cecilia Mascolo:
Heart Rate Extraction from Abdominal Audio Signals. CoRR abs/2304.11020 (2023) - 2022
- [j1]Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. npj Digit. Medicine 5 (2022) - [c5]Erika Bondareva, Tong Xia, Jing Han, Cecilia Mascolo:
Towards Uncertainty-Aware Murmur Detection in Heart Sounds via Tandem Learning. CinC 2022: 1-4 - [c4]Erika Bondareva, Marios Constantinides, Michael S. Eggleston, Ireneusz Jablonski, Cecilia Mascolo, Zoran Radivojevic, Sanja Scepanovic:
Stress Inference from Abdominal Sounds using Machine Learning. EMBC 2022: 1985-1988 - [i4]Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. CoRR abs/2201.01232 (2022) - 2021
- [c3]Erika Bondareva, Jing Han, William Bradlow, Cecilia Mascolo:
Segmentation-free Heart Pathology Detection Using Deep Learning. EMBC 2021: 669-672 - [c2]Erika Bondareva, Elín Rós Hauksdóttir, Cecilia Mascolo:
Earables for Detection of Bruxism: a Feasibility Study. UbiComp/ISWC Adjunct 2021: 146-151 - [c1]Tong Xia, Dimitris Spathis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Erika Bondareva, Ting Dang, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening. NeurIPS Datasets and Benchmarks 2021 - [i3]Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. CoRR abs/2106.15523 (2021) - [i2]Erika Bondareva, Jing Han, William Bradlow, Cecilia Mascolo:
Segmentation-free Heart Pathology Detection Using Deep Learning. CoRR abs/2108.04139 (2021) - [i1]Erika Bondareva, Elín Rós Hauksdóttir, Cecilia Mascolo:
Earables for Detection of Bruxism: a Feasibility Study. CoRR abs/2108.04144 (2021)
Coauthor Index
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