Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations von Sharma, Bhanushee, Chenthamarakshan, Vijil, Dhurandhar, Amit, Pereira, Shiranee, Hendler, James A., Dordick, Jonathan S., Das, Payel

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Predicting human olfactory perception from chemical features of odor molecules von Keller, Andreas, Gerkin, Richard C., Guan, Yuanfang, Dhurandhar, Amit, Turu, Gabor, Szalai, Bence, Mainland, Joel D., Ihara, Yusuke, Yu, Chung Wen, Wolfinger, Russ, Vens, Celine, Schietgat, Leander, De Grave, Kurt, Norel, Raquel, Stolovitzky, Gustavo, Cecchi, Guillermo A., Vosshall, Leslie B., Meyer, Pablo

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Predicting natural language descriptions of mono-molecular odorants von Gutiérrez, E. Darío, Dhurandhar, Amit, Keller, Andreas, Meyer, Pablo, Cecchi, Guillermo A.

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Human-centered explainability for life sciences, healthcare, and medical informatics von Dey, Sanjoy, Chakraborty, Prithwish, Kwon, Bum Chul, Dhurandhar, Amit, Ghalwash, Mohamed, Suarez Saiz, Fernando J., Ng, Kenney, Sow, Daby, Varshney, Kush R., Meyer, Pablo

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Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI von Aiskovich, Matias, Castro, Eduardo, Reinen, Jenna M, Fadnavis, Shreyas, Mehta, Anushree, Li, Hongyang, Dhurandhar, Amit, Cecchi, Guillermo A, Polosecki, Pablo

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Improving classification performance through selective instance completion von Dhurandhar, Amit, Sankaranarayanan, Karthik

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Bounds on the moments for an ensemble of random decision trees von Dhurandhar, Amit

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Bounds on the moments for an ensemble of random decision treesf von Dhurandhar, Amit

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Using coarse information for real valued prediction von Dhurandhar, Amit

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Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue von Greene, Travis, Dhurandhar, Amit, Shmueli, Galit

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Supervised item response models for informative prediction von Idé, Tsuyoshi, Dhurandhar, Amit

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AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models von Arya, Vijay, Bellamy, Rachel K. E., Chen, Pin-Yu, Dhurandhar, Amit, Hind, Michael, Hoffman, Samuel C., Houde, Stephanie, Liao, Q. Vera, Luss, Ronny, Mojsilovic, Aleksandra, Mourad, Sami, Pedemonte, Pablo, Raghavendra, Ramya, Richards, John T., Sattigeri, Prasanna, Shanmugam, Karthikeyan, Singh, Moninder, Varshney, Kush R., Wei, Dennis, Zhang, Yunfeng

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Expansive linguistic representations to predict interpretable odor mixture discriminability von Dhurandhar, Amit, Li, Hongyang, Cecchi, Guillermo A, Meyer, Pablo

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Probabilistic characterization of nearest neighbor classifier von Dhurandhar, Amit, Dobra, Alin

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Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making von Rastogi, Charvi, Zhang, Yunfeng, Wei, Dennis, Varshney, Kush R., Dhurandhar, Amit, Tomsett, Richard

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Distribution-free bounds for relational classification von Dhurandhar, Amit, Dobra, Alin

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Single Network Relational Transductive Learning von Dhurandhar, A., Wang, J.

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Continuous prediction of manufacturing performance throughout the production lifecycle von Weiss, Sholom M., Dhurandhar, Amit, Baseman, Robert J., White, Brian F., Logan, Ronald, Winslow, Jonathan K., Poindexter, Daniel

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Semi-analytical method for analyzing models and model selection measures based on moment analysis von Dhurandhar, Amit, Dobra, Alin

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Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation von Zhang, Jiajin, Chao, Hanqing, Dhurandhar, Amit, Chen, Pin-Yu, Tajer, Ali, Xu, Yangyang, Yan, Pingkun

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