Aparna Balagopalan

According to our database, Aparna Balagopalan authored at least 14 papers between 2018 and 2024.

Collaborative distances:

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

2024

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gursoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo

CoRR, 2024

2023

Event-Based Contrastive Learning for Medical Time Series.

Hyewon Jeong, Nassim Oufattole, Aparna Balagopalan, Matthew B. A. McDermott, Payal Chandak, Marzyeh Ghassemi, Collin M. Stultz

CoRR, 2023

The Role of Relevance in Fair Ranking.

Aparna Balagopalan, Abigail Z. Jacobs, Asia J. Biega

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations.

Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Quantifying the Task-Specific Information in Text-Based Classifications.

Zining Zhu, Aparna Balagopalan, Marzyeh Ghassemi, Frank Rudzicz

CoRR, 2021

Comparing Acoustic-Based Approaches for Alzheimer's Disease Detection.

Aparna Balagopalan, Jekaterina Novikova

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020

Augmenting BERT Carefully with Underrepresented Linguistic Features.

Aparna Balagopalan, Jekaterina Novikova

CoRR, 2020

To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer's Disease Detection.

Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz, Jekaterina Novikova

Proceedings of the Interspeech 2020, 2020

Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach.

Benjamin Eyre, Aparna Balagopalan, Jekaterina Novikova

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others.

Aparna Balagopalan, Ksenia Shkaruta, Jekaterina Novikova

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019

Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation.

Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi

Proceedings of the Machine Learning for Health Workshop, 2019

Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power.

Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta, Frank Rudzicz

Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

2018

The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech.

Aparna Balagopalan, Jekaterina Novikova, Frank Rudzicz, Marzyeh Ghassemi

CoRR, 2018

ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs.

Aparna Balagopalan, Satya Gorti, Mathieu Ravaut, Raeid Saqur

CoRR, 2018