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ORCIDAparna Balagopalan
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2020 – today
- 2024
[i15]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 Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang
, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo:
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024)- [i14]Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi:
LEMoN: Label Error Detection using Multimodal Neighbors. CoRR abs/2407.18941 (2024) - 2023
- [c8]Aparna Balagopalan, Abigail Z. Jacobs, Asia J. Biega:
The Role of Relevance in Fair Ranking. SIGIR 2023: 2650-2660 - [i13]Aparna Balagopalan, Abigail Z. Jacobs, Asia Biega:
The Role of Relevance in Fair Ranking. CoRR abs/2305.05608 (2023) - [i12]Hyewon Jeong, Nassim Oufattole, Aparna Balagopalan, Matthew B. A. McDermott, Payal Chandak, Marzyeh Ghassemi, Collin M. Stultz:
Event-Based Contrastive Learning for Medical Time Series. CoRR abs/2312.10308 (2023) - 2022
- [c7]Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi:
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. FAccT 2022: 1194-1206 - [i11]Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi:
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. CoRR abs/2205.03295 (2022) - 2021
- [c6]Aparna Balagopalan, Jekaterina Novikova:
Comparing Acoustic-Based Approaches for Alzheimer's Disease Detection. Interspeech 2021: 3800-3804 - [i10]Aparna Balagopalan, Jekaterina Novikova:
Comparing Acoustic-based Approaches for Alzheimer's Disease Detection. CoRR abs/2106.01555 (2021) - [i9]Zining Zhu, Aparna Balagopalan, Marzyeh Ghassemi, Frank Rudzicz:
Quantifying the Task-Specific Information in Text-Based Classifications. CoRR abs/2110.08931 (2021) - 2020
- [c5]Aparna Balagopalan, Ksenia Shkaruta, Jekaterina Novikova:
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others. W-NUT@EMNLP 2020: 159-164 - [c4]Benjamin Eyre, Aparna Balagopalan, Jekaterina Novikova:
Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach. W-NUT@EMNLP 2020: 193-199 - [c3]Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz, Jekaterina Novikova:
To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer's Disease Detection. INTERSPEECH 2020: 2167-2171 - [i8]Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz, Jekaterina Novikova:
To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection. CoRR abs/2008.01551 (2020) - [i7]Benjamin Eyre, Aparna Balagopalan, Jekaterina Novikova:
Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach. CoRR abs/2010.06579 (2020) - [i6]Aparna Balagopalan, Jekaterina Novikova:
Augmenting BERT Carefully with Underrepresented Linguistic Features. CoRR abs/2011.06153 (2020)
2010 – 2019
- 2019
- [c2]Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta, Frank Rudzicz:
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. W-NUT@EMNLP 2019: 431-443 - [c1]Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi:
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation. ML4H@NeurIPS 2019: 202-219 - [i5]Aparna Balagopalan, Ksenia Shkaruta, Jekaterina Novikova:
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others. CoRR abs/1904.01684 (2019) - [i4]Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta, Frank Rudzicz:
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. CoRR abs/1910.00065 (2019) - [i3]Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi:
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation. CoRR abs/1912.04370 (2019) - 2018
- [i2]Aparna Balagopalan, Satya Gorti, Mathieu Ravaut, Raeid Saqur:
ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs. CoRR abs/1805.02788 (2018) - [i1]Aparna Balagopalan, Jekaterina Novikova, Frank Rudzicz, Marzyeh Ghassemi:
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech. CoRR abs/1811.12254 (2018)
Coauthor Index
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