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Dhurandhar, Amit
87  Ergebnisse:
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1

Fusion of biomedical imaging studies for increased sample s..:

Aiskovich, Matias ; Castro, Eduardo ; Reinen, Jenna M....
Frontiers in Radiology.  4 (2024)  - p. , 2024
Link: https://doi.org/10.3389/..
 
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2

Atomist or holist? A diagnosis and vision for more producti..:

Greene, Travis ; Dhurandhar, Amit ; Shmueli, Galit
Patterns.  4 (2023)  1 - p. 100652 , 2023
Link: https://doi.org/10.1016/..
 
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3

Spectral Adversarial MixUp for Few-Shot Unsupervised Domain..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2023,
Zhang, Jiajin ; Chao, Hanqing ; Dhurandhar, Amit... - p. 728-738 , 2023
Link: https://doi.org/10.1007/..
 
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Explainable Cross-Topic Stance Detection for Search Results:

, In: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval,
Draws, Tim ; Natesan Ramamurthy, Karthikeyan ; Baldini, Ioana... - p. 221-235 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigatio..:

, In: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency,
Richardson, Brianna ; Sattigeri, Prasanna ; Wei, Dennis... - p. 736-752 , 2023
Link: https://dl.acm.org/doi/1..
 
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6

Accurate clinical toxicity prediction using multi-task deep..:

Sharma, Bhanushee ; Chenthamarakshan, Vijil ; Dhurandhar, Amit...
Scientific Reports.  13 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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7

Expansive linguistic representations to predict interpretab..:

Dhurandhar, Amit ; Li, Hongyang ; Cecchi, Guillermo A.
Chemical Senses.  48 (2023)  - p. , 2023
Link: https://doi.org/10.1093/..
 
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8

AI Explainability 360 Toolkit for Time-Series and Industria..:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Ganapavarapu, Giridhar ; Mukherjee, Sumanta ; Martinez Gil, Natalia... - p. 5777-5778 , 2023
Link: https://dl.acm.org/doi/1..
 
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9

Deciding Fast and Slow: The Role of Cognitive Biases in AI-..:

Rastogi, Charvi ; Zhang, Yunfeng ; Wei, Dennis...
Proceedings of the ACM on Human-Computer Interaction.  6 (2022)  CSCW1 - p. 1-22 , 2022
Link: https://doi.org/10.1145/..
 
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10

Human-centered explainability for life sciences, healthcare..:

Dey, Sanjoy ; Chakraborty, Prithwish ; Kwon, Bum Chul...
Patterns.  3 (2022)  5 - p. 100493 , 2022
Link: https://doi.org/10.1016/..
 
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11

Multihop: Leveraging Complex Models to Learn Accurate Simpl..:

, In: 2022 IEEE International Conference on Knowledge Graph (ICKG),
Dhurandhar, Amit ; Pedapati, Tejaswini - p. 48-55 , 2022
Link: https://doi.org/10.1109/..
 
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12

Leveraging Latent Features for Local Explanations:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
Luss, Ronny ; Chen, Pin-Yu ; Dhurandhar, Amit... - p. 1139-1149 , 2021
Link: https://dl.acm.org/doi/1..
 
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13

Treatment Effect Estimation Using Invariant Risk Minimizati..:

, In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Shah, Abhin ; Ahuja, Kartik ; Shanmugam, Karthikeyan... - p. 5005-5009 , 2021
Link: https://doi.org/10.1109/..
 
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14

AI Explainability 360 Toolkit:

, In: 8th ACM IKDD CODS and 26th COMAD,
Arya, Vijay ; Bellamy, Rachel K. E. ; Chen, Pin-Yu... - p. 376-379 , 2021
Link: https://dl.acm.org/doi/1..
 
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15

Tutorial on Human-Centered Explainability for Healthcare:

, In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
Chakraborty, Prithwish ; Kwon, Bum Chul ; Dey, Sanjoy... - p. 3547-3548 , 2020
Link: https://dl.acm.org/doi/1..
 
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