Hamed Valizadegan

27 papers A* 4A 4C 1Misc 1Journal 11Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ExoMiner++ 2.0: Vetting TESS Full-Frame Image Transit Signals. CoRR Miguel J. S. Martinho, Hamed Valizadegan, Jon M. Jenkins, Douglas A. Caldwell, Joseph D. Twicken, Ben Tofflemire, Marziye Jafariyazani
2025	J	`jnl`	ExoMiner++ on TESS with Transfer Learning from Kepler: Transit Classification and Vetting Catalog for 2-min Data. CoRR 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, Khalid Barkaoui, Perry Berlind, Michael L. Calkins, Kylee Carden, Nikita Chazov, Gilbert A. Esquerdo, Tristan Guillot, Vadim Krushinsky, Grzegorz Nowak, Benjamin V. Rackham, Amaury Triaud, Richard P. Schwarz, Denise Stephens, Chris Stockdale, Jiaqi Wang, Cristilyn N. Watkins, Francis P. Wilkin
2024	J	`jnl`	TelescopeML - I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results. CoRR Ehsan Gharib-Nezhad, Natasha E. Batalha, Hamed Valizadegan, Miguel J. S. Martinho, Mahdi Habibi, Gopal Nookula
2024	J	`jnl`	TelescopeML - I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results. J. Open Source Softw. Ehsan Gharib-Nezhad, Natasha E. Batalha, Hamed Valizadegan, Miguel J. S. Martinho, Mahdi Habibi, Gopal Nookula
2023	J	`jnl`	Multiplicity Boost Of Transit Signal Classifiers: Validation of 69 New Exoplanets Using The Multiplicity Boost of ExoMiner. CoRR Hamed Valizadegan, Miguel J. S. Martinho, Jon M. Jenkins, Douglas A. Caldwell, Joseph D. Twicken, Stephen T. Bryson
2021	J	`jnl`	ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets. CoRR 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, Nikunj C. Oza
2016	J	`jnl`	Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. J. Aerosp. Inf. Syst. Igor Melnyk, Bryan L. Matthews, Hamed Valizadegan, Arindam Banerjee, Nikunj C. Oza
2014	J	`jnl`	Learning classification models with soft-label information. J. Am. Medical Informatics Assoc. Quang Nguyen, Hamed Valizadegan, Milos Hauskrecht
2014	—	`conf`	Relative Comparison Kernel Learning with Auxiliary Kernels. ECML/PKDD (1) Eric Heim, Hamed Valizadegan, Milos Hauskrecht
2013	J	`jnl`	A temporal pattern mining approach for classifying electronic health record data. ACM Trans. Intell. Syst. Technol. Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
2013	J	`jnl`	Learning classification models from multiple experts. J. Biomed. Informatics Hamed Valizadegan, Quang Nguyen, Milos Hauskrecht
2013	J	`jnl`	Relative Comparison Kernel Learning with Auxiliary Kernels. CoRR Eric Heim, Hamed Valizadegan, Milos Hauskrecht
2012	A	`conf`	Factorized Diffusion Map Approximation. AISTATS Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht
2012	Misc	`conf`	Learning Medical Diagnosis Models from Multiple Experts. AMIA Hamed Valizadegan, Quang Nguyen, Milos Hauskrecht
2012	A	`conf`	Sampling Strategies to Evaluate the Performance of Unknown Predictors. SDM Hamed Valizadegan, Saeed Amizadeh, Milos Hauskrecht
2011	—	`conf`	A Pattern Mining Approach for Classifying Multivariate Temporal Data. BIBM Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
2011	A*	`conf`	Conditional Anomaly Detection with Soft Harmonic Functions. ICDM Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
2011	A*	`conf`	Learning Classification with Auxiliary Probabilistic Information. ICDM Quang Nguyen, Hamed Valizadegan, Milos Hauskrecht
2011	A*	`conf`	Learning to trade off between exploration and exploitation in multiclass bandit prediction. KDD Hamed Valizadegan, Rong Jin, Shijun Wang
2010	A	`conf`	A Potential-based Framework for Online Multi-class Learning with Partial Feedback. AISTATS Shijun Wang, Rong Jin, Hamed Valizadegan
2009	—	`conf`	Learning to Rank by Optimizing NDCG Measure. NIPS Hamed Valizadegan, Rong Jin, Ruofei Zhang, Jianchang Mao
2008	A*	`conf`	Ranking refinement and its application to information retrieval. WWW Rong Jin, Hamed Valizadegan, Hang Li
2008	—	`conf`	Semi-Supervised Boosting for Multi-Class Classification. ECML/PKDD (2) Hamed Valizadegan, Rong Jin, Anil K. Jain
2007	—	`conf`	A Probabilistic Substructure-Based Approach for Graph Classification. ICTAI (1) H. D. K. Moonesinghe, Hamed Valizadegan, Samah Jamal Fodeh, Pang-Ning Tan
2007	C	`conf`	A Prototype-driven Framework for Change Detection in Data Stream Classification. CIDM Hamed Valizadegan, Pang-Ning Tan
2007	A	`conf`	Kernel Based Detection of Mislabeled Training Examples. SDM Hamed Valizadegan, Pang-Ning Tan
2006	—	`conf`	Generalized Maximum Margin Clustering and Unsupervised Kernel Learning. NIPS Hamed Valizadegan, Rong Jin