Generalized Maximum Margin Clustering and Unsupervised Kernel Learning. - Hamed Valizadegan; Rong Jin 001 (NIPS, 2006)

A Prototype-driven Framework for Change Detection in Data Stream Classification. - Hamed Valizadegan; Pang-Ning Tan (CIDM, 2007)

A Probabilistic Substructure-Based Approach for Graph Classification. - H. D. K. Moonesinghe; Hamed Valizadegan; Samah Jamal Fodeh; Pang-Ning Tan (ICTAI (1), 2007)

Kernel Based Detection of Mislabeled Training Examples. - Hamed Valizadegan; Pang-Ning Tan (SDM, 2007)

Semi-Supervised Boosting for Multi-Class Classification. - Hamed Valizadegan; Rong Jin 001; Anil K. Jain 001 (ECML/PKDD (2), 2008)

Ranking refinement and its application to information retrieval. - Rong Jin 001; Hamed Valizadegan; Hang Li 001 (WWW, 2008)

Learning to Rank by Optimizing NDCG Measure. - Hamed Valizadegan; Rong Jin 001; Ruofei Zhang; Jianchang Mao (NIPS, 2009)

A Potential-based Framework for Online Multi-class Learning with Partial Feedback. - Shijun Wang; Rong Jin 001; Hamed Valizadegan (AISTATS, 2010)

A Pattern Mining Approach for Classifying Multivariate Temporal Data. - Iyad Batal; Hamed Valizadegan; Gregory F. Cooper; Milos Hauskrecht (BIBM, 2011)

Learning Classification with Auxiliary Probabilistic Information. - Quang Nguyen; Hamed Valizadegan; Milos Hauskrecht (ICDM, 2011)

Conditional Anomaly Detection with Soft Harmonic Functions. - Michal Valko; Branislav Kveton; Hamed Valizadegan; Gregory F. Cooper; Milos Hauskrecht (ICDM, 2011)

Learning to trade off between exploration and exploitation in multiclass bandit prediction. - Hamed Valizadegan; Rong Jin 001; Shijun Wang (KDD, 2011)

Learning Medical Diagnosis Models from Multiple Experts. - Hamed Valizadegan; Quang Nguyen; Milos Hauskrecht (AMIA, 2012)

Sampling Strategies to Evaluate the Performance of Unknown Predictors. - Hamed Valizadegan; Saeed Amizadeh; Milos Hauskrecht (SDM, 2012)

Factorized Diffusion Map Approximation. - Saeed Amizadeh; Hamed Valizadegan; Milos Hauskrecht (AISTATS, 2012)

Learning classification models from multiple experts. - Hamed Valizadegan; Quang Nguyen; Milos Hauskrecht (J. Biomed. Informatics, 2013)

A temporal pattern mining approach for classifying electronic health record data. - Iyad Batal; Hamed Valizadegan; Gregory F. Cooper; Milos Hauskrecht (ACM Trans. Intell. Syst. Technol., 2013)

Relative Comparison Kernel Learning with Auxiliary Kernels. - Eric Heim; Hamed Valizadegan; Milos Hauskrecht (ECML/PKDD (1), 2014)

Learning classification models with soft-label information. - Quang Nguyen; Hamed Valizadegan; Milos Hauskrecht (J. Am. Medical Informatics Assoc., 2014)

Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. - Igor Melnyk; Bryan L. Matthews; Hamed Valizadegan; Arindam Banerjee 001; Nikunj C. Oza (J. Aerosp. Inf. Syst., 2016)

ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets. - Hamed Valizadegan; Miguel J. S. Martinho; Laurent S. Wilkens; Jon M. Jenkins; Jeffrey Smith; Douglas A. Caldwell; Joseph D. Twicken; Pedro C. Gerum; Nikash Walia; Kaylie Hausknecht; Noa Y. Lubin; Stephen T. Bryson; et al. (CoRR, 2021)

Multiplicity Boost Of Transit Signal Classifiers: Validation of 69 New Exoplanets Using The Multiplicity Boost of ExoMiner. - Hamed Valizadegan; Miguel J. S. Martinho; Jon M. Jenkins; Douglas A. Caldwell; Joseph D. Twicken; Stephen T. Bryson (CoRR, 2023)

TelescopeML - I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results. - Ehsan Gharib-Nezhad; Natasha E. Batalha; Hamed Valizadegan; Miguel J. S. Martinho; Mahdi Habibi; Gopal Nookula (J. Open Source Softw., 2024)

ExoMiner++ on TESS with Transfer Learning from Kepler: Transit Classification and Vetting Catalog for 2-min Data. - Hamed Valizadegan; Miguel J. S. Martinho; Jon M. Jenkins; Joseph D. Twicken; Douglas A. Caldwell; Patrick Maynard; Hongbo Wei; William Zhong; Charles Yates; Sam Donald; Karen A. Collins; David Latham; et al. (CoRR, 2025)