Hamed Valizadegan

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 4

Top Topics

Learning Models

Kernel Learning

Semidefinite Program

Highly Accurate

Top Venues

J. Aerosp. Inf. Syst.

J. Am. Medical Informatics Assoc.

Publications

Ehsan Gharib-Nezhad, Natasha E. Batalha, Hamed Valizadegan, Miguel J. S. Martinho, Mahdi Habibi, Gopal Nookula
TelescopeML - I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results. CoRR (2024)
Hamed Valizadegan, Miguel J. S. Martinho, Jon M. Jenkins, Douglas A. Caldwell, Joseph D. Twicken, Stephen T. Bryson
Multiplicity Boost Of Transit Signal Classifiers: Validation of 69 New Exoplanets Using The Multiplicity Boost of ExoMiner. CoRR (2023)
Hamed Valizadegan, Miguel 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
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets. CoRR (2021)
Igor Melnyk, Bryan L. Matthews, Hamed Valizadegan, Arindam Banerjee, Nikunj C. Oza
Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. J. Aerosp. Inf. Syst. 13 (4) (2016)
Eric Heim, Hamed Valizadegan, Milos Hauskrecht
Relative Comparison Kernel Learning with Auxiliary Kernels. ECML/PKDD (1) (2014)
Quang Nguyen, Hamed Valizadegan, Milos Hauskrecht
Learning classification models with soft-label information. J. Am. Medical Informatics Assoc. 21 (3) (2014)
Hamed Valizadegan, Quang Nguyen, Milos Hauskrecht
Learning classification models from multiple experts. J. Biomed. Informatics 46 (6) (2013)
Eric Heim, Hamed Valizadegan, Milos Hauskrecht
Relative Comparison Kernel Learning with Auxiliary Kernels. CoRR (2013)
Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
A temporal pattern mining approach for classifying electronic health record data. ACM Trans. Intell. Syst. Technol. 4 (4) (2013)
Hamed Valizadegan, Quang Nguyen, Milos Hauskrecht
Learning Medical Diagnosis Models from Multiple Experts. AMIA (2012)
Hamed Valizadegan, Saeed Amizadeh, Milos Hauskrecht
Sampling Strategies to Evaluate the Performance of Unknown Predictors. SDM (2012)
Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht
Factorized Diffusion Map Approximation. AISTATS (2012)
Quang Nguyen, Hamed Valizadegan, Milos Hauskrecht
Learning Classification with Auxiliary Probabilistic Information. ICDM (2011)
Hamed Valizadegan, Rong Jin, Shijun Wang
Learning to trade off between exploration and exploitation in multiclass bandit prediction. KDD (2011)
Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
A Pattern Mining Approach for Classifying Multivariate Temporal Data. BIBM (2011)
Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
Conditional Anomaly Detection with Soft Harmonic Functions. ICDM (2011)
Shijun Wang, Rong Jin, Hamed Valizadegan
A Potential-based Framework for Online Multi-class Learning with Partial Feedback. AISTATS (2010)
Hamed Valizadegan, Rong Jin, Ruofei Zhang, Jianchang Mao
Learning to Rank by Optimizing NDCG Measure. NIPS (2009)
Hamed Valizadegan, Rong Jin, Anil K. Jain
Semi-Supervised Boosting for Multi-Class Classification. ECML/PKDD (2) (2008)
Rong Jin, Hamed Valizadegan, Hang Li
Ranking refinement and its application to information retrieval. WWW (2008)
Hamed Valizadegan, Pang-Ning Tan
A Prototype-driven Framework for Change Detection in Data Stream Classification. CIDM (2007)
Hamed Valizadegan, Pang-Ning Tan
Kernel Based Detection of Mislabeled Training Examples. SDM (2007)
H. D. K. Moonesinghe, Hamed Valizadegan, Samah Jamal Fodeh, Pang-Ning Tan
A Probabilistic Substructure-Based Approach for Graph Classification. ICTAI (1) (2007)
Hamed Valizadegan, Rong Jin
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning. NIPS (2006)