Radivojac, Predrag

9 publications

TMLR 2024 Learning Tree-Structured Composition of Data Augmentation Dongyue Li, Kailai Chen, Predrag Radivojac, Hongyang R. Zhang

AAAI 2023 Leveraging Structure for Improved Classification of Grouped Biased Data Daniel Zeiberg, Shantanu Jain, Predrag Radivojac

PGM 2022 Explaining Deep Tractable Probabilistic Models: The Sum-Product Network Case Bhagirath Athresh Karanam, Saurabh Mathur, Predrag Radivojac, David M Haas, Kristian Kersting, Sriraam Natarajan

AAAI 2020 Class Prior Estimation with Biased Positives and Unlabeled Examples Shantanu Jain, Justin Delano, Himanshu Sharma, Predrag Radivojac

AAAI 2020 Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting Daniel Zeiberg, Shantanu Jain, Predrag Radivojac

IJCAI 2018 On Whom Should I Perform This Lab Test Next? an Active Feature Elicitation Approach Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac

AAAI 2017 Recovering True Classifier Performance in Positive-Unlabeled Learning Shantanu Jain, Martha White, Predrag Radivojac

NeurIPS 2016 Estimating the Class Prior and Posterior from Noisy Positives and Unlabeled Data Shantanu Jain, Martha White, Predrag Radivojac

ECML-PKDD 2004 Feature Selection Filters Based on the Permutation Test Predrag Radivojac, Zoran Obradovic, A. Keith Dunker, Slobodan Vucetic