Hamed Valizadegan

Affiliations:
  • Michigan State University, East Lansing, USA


According to our database1, Hamed Valizadegan authored at least 23 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
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

2023
Multiplicity Boost Of Transit Signal Classifiers: Validation of 69 New Exoplanets Using The Multiplicity Boost of ExoMiner.
CoRR, 2023

2021
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets.
CoRR, 2021

2016
Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems.
J. Aerosp. Inf. Syst., 2016

2014
Learning classification models with soft-label information.
J. Am. Medical Informatics Assoc., 2014

Relative Comparison Kernel Learning with Auxiliary Kernels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013
A temporal pattern mining approach for classifying electronic health record data.
ACM Trans. Intell. Syst. Technol., 2013

Learning classification models from multiple experts.
J. Biomed. Informatics, 2013

2012
Factorized Diffusion Map Approximation.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Sampling Strategies to Evaluate the Performance of Unknown Predictors.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Learning Medical Diagnosis Models from Multiple Experts.
Proceedings of the AMIA 2012, 2012

2011
Learning to trade off between exploration and exploitation in multiclass bandit prediction.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Conditional Anomaly Detection with Soft Harmonic Functions.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Learning Classification with Auxiliary Probabilistic Information.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Pattern Mining Approach for Classifying Multivariate Temporal Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
A Potential-based Framework for Online Multi-class Learning with Partial Feedback.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2009
Learning to Rank by Optimizing NDCG Measure.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
Ranking refinement and its application to information retrieval.
Proceedings of the 17th International Conference on World Wide Web, 2008

Semi-Supervised Boosting for Multi-Class Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2007
Kernel Based Detection of Mislabeled Training Examples.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

A Probabilistic Substructure-Based Approach for Graph Classification.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

A Prototype-driven Framework for Change Detection in Data Stream Classification.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006


  Loading...