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Hamed Valizadegan
Person information
- affiliation: Michigan State University, East Lansing, USA
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2020 – today
- 2024
- [i4]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 abs/2407.16917 (2024) - 2023
- [i3]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 abs/2305.02470 (2023) - 2021
- [i2]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:
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets. CoRR abs/2111.10009 (2021)
2010 – 2019
- 2016
- [j4]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): 161-173 (2016) - 2014
- [j3]Quang Nguyen, Hamed Valizadegan, Milos Hauskrecht:
Learning classification models with soft-label information. J. Am. Medical Informatics Assoc. 21(3): 501-508 (2014) - [c16]Eric Heim, Hamed Valizadegan, Milos Hauskrecht:
Relative Comparison Kernel Learning with Auxiliary Kernels. ECML/PKDD (1) 2014: 563-578 - 2013
- [j2]Hamed Valizadegan, Quang Nguyen, Milos Hauskrecht:
Learning classification models from multiple experts. J. Biomed. Informatics 46(6): 1125-1135 (2013) - [j1]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): 63:1-63:22 (2013) - [i1]Eric Heim, Hamed Valizadegan, Milos Hauskrecht:
Relative Comparison Kernel Learning with Auxiliary Kernels. CoRR abs/1309.0489 (2013) - 2012
- [c15]Hamed Valizadegan, Quang Nguyen, Milos Hauskrecht:
Learning Medical Diagnosis Models from Multiple Experts. AMIA 2012 - [c14]Hamed Valizadegan, Saeed Amizadeh, Milos Hauskrecht:
Sampling Strategies to Evaluate the Performance of Unknown Predictors. SDM 2012: 494-505 - [c13]Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht:
Factorized Diffusion Map Approximation. AISTATS 2012: 37-46 - 2011
- [c12]Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht:
A Pattern Mining Approach for Classifying Multivariate Temporal Data. BIBM 2011: 358-365 - [c11]Quang Nguyen, Hamed Valizadegan, Milos Hauskrecht:
Learning Classification with Auxiliary Probabilistic Information. ICDM 2011: 477-486 - [c10]Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht:
Conditional Anomaly Detection with Soft Harmonic Functions. ICDM 2011: 735-743 - [c9]Hamed Valizadegan, Rong Jin, Shijun Wang:
Learning to trade off between exploration and exploitation in multiclass bandit prediction. KDD 2011: 204-212 - 2010
- [c8]Shijun Wang, Rong Jin, Hamed Valizadegan:
A Potential-based Framework for Online Multi-class Learning with Partial Feedback. AISTATS 2010: 900-907
2000 – 2009
- 2009
- [c7]Hamed Valizadegan, Rong Jin, Ruofei Zhang, Jianchang Mao:
Learning to Rank by Optimizing NDCG Measure. NIPS 2009: 1883-1891 - 2008
- [c6]Hamed Valizadegan, Rong Jin, Anil K. Jain:
Semi-Supervised Boosting for Multi-Class Classification. ECML/PKDD (2) 2008: 522-537 - [c5]Rong Jin, Hamed Valizadegan, Hang Li:
Ranking refinement and its application to information retrieval. WWW 2008: 397-406 - 2007
- [c4]Hamed Valizadegan, Pang-Ning Tan
:
A Prototype-driven Framework for Change Detection in Data Stream Classification. CIDM 2007: 88-95 - [c3]H. D. K. Moonesinghe, Hamed Valizadegan, Samah Jamal Fodeh, Pang-Ning Tan
:
A Probabilistic Substructure-Based Approach for Graph Classification. ICTAI (1) 2007: 346-349 - [c2]Hamed Valizadegan, Pang-Ning Tan
:
Kernel Based Detection of Mislabeled Training Examples. SDM 2007: 309-319 - 2006
- [c1]Hamed Valizadegan, Rong Jin:
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning. NIPS 2006: 1417-1424
Coauthor Index
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last updated on 2024-08-25 20:06 CEST by the dblp team
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