Erika Bondareva

According to our database, Erika Bondareva authored at least 10 papers between 2021 and 2023.

Collaborative distances:

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

2023

Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19.

Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Heart Rate Extraction from Abdominal Audio Signals.

Jake Stuchbury-Wass, Erika Bondareva, Kayla-Jade Butkow, Sanja Scepanovic, Zoran Radivojevic, Cecilia Mascolo

Proceedings of the IEEE International Conference on Acoustics, 2023

Embracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection.

Erika Bondareva, Georgios Rizos, Jing Han, Cecilia Mascolo

Proceedings of the Computing in Cardiology, 2023

2022

Sounds of COVID-19: exploring realistic performance of audio-based digital testing.

Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo

npj Digit. Medicine, 2022

COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study.

Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo

CoRR, 2022

Stress Inference from Abdominal Sounds using Machine Learning.

Erika Bondareva, Marios Constantinides, Michael S. Eggleston, Ireneusz Jablonski, Cecilia Mascolo, Zoran Radivojevic, Sanja Scepanovic

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Towards Uncertainty-Aware Murmur Detection in Heart Sounds via Tandem Learning.

Erika Bondareva, Tong Xia, Jing Han, Cecilia Mascolo

Proceedings of the Computing in Cardiology, 2022

2021

COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening.

Tong Xia, Dimitris Spathis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Erika Bondareva, Ting Dang, Andres Floto, Pietro Cicuta, Cecilia Mascolo

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Earables for Detection of Bruxism: a Feasibility Study.

Erika Bondareva, Elín Rós Hauksdóttir, Cecilia Mascolo

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

Segmentation-free Heart Pathology Detection Using Deep Learning.

Erika Bondareva, Jing Han, William Bradlow, Cecilia Mascolo

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021