Predrag Radivojac
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
10
Active years
2002–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | KDD | Are Your Fairness Metrics Accurate? A Semi-Supervised Approach to Improving Fairness Estimates Under Sample Selection Bias. | M. Clara De Paolis Kaluza, Thulasi Tholeti, Yile Chen, Ricardo Baeza-Yates, Predrag Radivojac, Shantanu Jain |
| 2024 | AIME | Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources. | Saurabh Mathur, Veerendra P. Gadekar, Rashika Ramola, Peixin Wang, Ramachandran Thiruvengadam, David M. Haas, Shinjini Bhatnagar, Nitya Wadhwa, Garbhini Study Group, Predrag Radivojac, Himanshu Sinha, Kristian Kersting, Sriraam Natarajan |
| 2023 | AAAI | Leveraging Structure for Improved Classification of Grouped Biased Data. | Daniel Zeiberg, Shantanu Jain, Predrag Radivojac |
| 2021 | AIME | A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes. | Athresh Karanam, Alexander L. Hayes, Harsha Kokel, David M. Haas, Predrag Radivojac, Sriraam Natarajan |
| 2020 | AAAI | Class Prior Estimation with Biased Positives and Unlabeled Examples. | Shantanu Jain, Justin Delano, Himanshu Sharma, Predrag Radivojac |
| 2020 | AAAI | Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting. | Daniel Zeiberg, Shantanu Jain, Predrag Radivojac |
| 2020 | PSB | Session Introduction. | Steven E. Brenner, Martha L. Bulyk, Dana C. Crawford, Alexander A. Morgan, Predrag Radivojac, Nicholas P. Tatonetti |
| 2020 | PSB | Session Introduction. | Lukasz A. Kurgan, Predrag Radivojac, Joel L. Sussman, A. Keith Dunker |
| 2019 | PSB | Session introduction. | Steven E. Brenner, Martha L. Bulyk, Dana C. Crawford, Jill P. Mesirov, Alexander A. Morgan, Predrag Radivojac |
| 2019 | PSB | Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies. | Rashika Ramola, Shantanu Jain, Predrag Radivojac |
| 2018 | IJCAI | On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach. | Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac |
| 2017 | AAAI | Recovering True Classifier Performance in Positive-Unlabeled Learning. | Shantanu Jain, Martha White, Predrag Radivojac |
| 2017 | PSB | Session Introduction. | Yana Bromberg, Matthew W. Hahn, Predrag Radivojac |
| 2015 | PSB | Training the Next Generation of Quantitative Biologists in the Era of Big Data. | Kristine A. Pattin, Anna C. Greene, Russ B. Altman, Kevin Bretonnel Cohen, Elizabeth Wethington, Carsten Grg, Lawrence E. Hunter, Spencer V. Muse, Predrag Radivojac, Jason H. Moore |
| 2014 | PSB | Vector Quantization Kernels for the Classification of Protein Sequences and Structures. | Wyatt T. Clark, Predrag Radivojac |
| 2010 | PSB | Loss of Post-Translational Modification Sites in Disease. | Shuyan Li, Lilia M. Iakoucheva, Sean D. Mooney, Predrag Radivojac |
| 2009 | PSB | Session Introduction. | Yves A. Lussier, Younghee Lee, Predrag Radivojac, Yanay Ofran, Atul J. Butte, Maricel G. Kann |
| 2008 | ECCB | Gain and loss of phosphorylation sites in human cancer. | Predrag Radivojac, Peter H. Baenziger, Maricel G. Kann, Matthew E. Mort, Matthew W. Hahn, Sean D. Mooney |
| 2008 | PSB | Session Introduction. | Yves A. Lussier, Younghee Lee, Predrag Radivojac, Yanay Ofran, Marco Punta, Atul J. Butte, Maricel G. Kann |
| 2008 | RECOMB | A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics. | Yong Fuga Li, Randy J. Arnold, Yixue Li, Predrag Radivojac, Quanhu Sheng, Haixu Tang |
| 2007 | PSB | Advancement in Protein Inference from Shotgun Proteomics Using Peptide Detectability. | Pedro Alves, Randy J. Arnold, Milos V. Novotny, Predrag Radivojac, James P. Reilly, Haixu Tang |
| 2007 | PSB | Session Introduction. | Maricel G. Kann, Yanay Ofran, Marco Punta, Predrag Radivojac |
| 2006 | ISMB | A computational approach toward label-free protein quantification using predicted peptide detectability. | Haixu Tang, Randy J. Arnold, Pedro Alves, Zhiyin Xun, David E. Clemmer, Milos V. Novotny, James P. Reilly, Predrag Radivojac |
| 2006 | PSB | A Machine Learning Approach to Predicting Peptide Fragmentation Spectra. | Randy J. Arnold, Narmada Jayasankar, Divya Aggarwal, Haixu Tang, Predrag Radivojac |
| 2006 | PSB | Session Introduction. | Maricel G. Kann, Yanay Ofran, Marco Punta, Predrag Radivojac |
| 2006 | SDM | Using Compression to Identify Classes of Inauthentic Texts. | Mehmet M. Dalkilic, Wyatt T. Clark, James C. Costello, Predrag Radivojac |
| 2005 | CIBCB | Intrinsic Disorder and Protein modifications: Building an SVM Predictor for Methylation. | Kenneth Daily, Predrag Radivojac, A. Keith Dunker |
| 2003 | PSB | Prediction of Boundaries Between Intrinsically Ordered and Disordered Protein Regions. | Predrag Radivojac, Zoran Obradovic, Celeste J. Brown, A. Keith Dunker |
| 2002 | PSB | Improving Sequence Alignments For Intrinsically Disordered Proteins. | Predrag Radivojac, Zoran Obradovic, Celeste J. Brown, A. Keith Dunker |