ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs. - Aparna Balagopalan; Satya Gorti; Mathieu Ravaut; Raeid Saqur (CoRR, 2018)

The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech. - Aparna Balagopalan; Jekaterina Novikova; Frank Rudzicz; Marzyeh Ghassemi (CoRR, 2018)

Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. - Jekaterina Novikova; Aparna Balagopalan; Ksenia Shkaruta; Frank Rudzicz (W-NUT@EMNLP, 2019)

Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation. - Aparna Balagopalan; Jekaterina Novikova; Matthew B. A. McDermott; Bret Nestor; Tristan Naumann; Marzyeh Ghassemi (ML4H@NeurIPS, 2019)

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 (W-NUT@EMNLP, 2020)

Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach. - Benjamin Eyre; Aparna Balagopalan; Jekaterina Novikova (W-NUT@EMNLP, 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 (INTERSPEECH, 2020)

Augmenting BERT Carefully with Underrepresented Linguistic Features. - Aparna Balagopalan; Jekaterina Novikova (CoRR, 2020)

Comparing Acoustic-Based Approaches for Alzheimer's Disease Detection. - Aparna Balagopalan; Jekaterina Novikova (Interspeech, 2021)

Quantifying the Task-Specific Information in Text-Based Classifications. - Zining Zhu 001; Aparna Balagopalan; Marzyeh Ghassemi; Frank Rudzicz (CoRR, 2021)

The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. - Aparna Balagopalan; Haoran Zhang 003; Kimia Hamidieh; Thomas Hartvigsen; Frank Rudzicz; Marzyeh Ghassemi (FAccT, 2022)

The Role of Relevance in Fair Ranking. - Aparna Balagopalan; Abigail Z. Jacobs; Asia J. Biega (SIGIR, 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)

Event-Based Contrastive Learning for Medical Time Series. - Nassim Oufattole; Hyewon Jeong; Matthew B. A. McDermott; Aparna Balagopalan; Bryan Jangeesingh; Marzyeh Ghassemi; Collin M. Stultz (MLHC, 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 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

LEMoN: Label Error Detection using Multimodal Neighbors. - Haoran Zhang 003; Aparna Balagopalan; Nassim Oufattole; Hyewon Jeong; Yan Wu; Jiacheng Zhu; Marzyeh Ghassemi (CoRR, 2024)

Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments. - Jennah Gosciak; Aparna Balagopalan; Derek Ouyang; Allison Koenecke; Marzyeh Ghassemi; Daniel E. Ho (FAccT, 2025)

What's in a Query: Polarity-Aware Distribution-Based Fair Ranking. - Aparna Balagopalan; Kai Wang 071; Olawale Salaudeen; Asia Biega; Marzyeh Ghassemi (WWW, 2025)