Ioannis Tsamardinos
Orcid: 0000-0002-2492-959X
According to our database1,
Ioannis Tsamardinos
authored at least 101 papers
between 1998 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
CoRR, 2024
2023
Mach. Learn., November, 2023
Bioinform., September, 2023
A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML.
CoRR, 2023
2022
The $\gamma$γ-OMP Algorithm for Feature Selection With Application to Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Appl. Artif. Intell., 2022
2021
Data Min. Knowl. Discov., 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021
2020
CoRR, 2020
A generalised OMP algorithm for feature selection with application to gene expression data.
CoRR, 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020
Pathway Activity Score Learning for Dimensionality Reduction of Gene Expression Data.
Proceedings of the Discovery Science - 23rd International Conference, 2020
Latent Feature Representations for Human Gene Expression Data Improve Phenotypic Predictions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Mach. Learn., 2019
Bioinform., 2019
2018
Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation.
Mach. Learn., 2018
Int. J. Data Sci. Anal., 2018
Int. J. Approx. Reason., 2018
BioDataome: a collection of uniformly preprocessed and automatically annotated datasets for data-driven biology.
Database J. Biol. Databases Curation, 2018
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018
2017
Nucleic Acids Res., 2017
Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation.
CoRR, 2017
2016
On User-Centric Modular QoE Prediction for VoIP Based on Machine-Learning Algorithms.
IEEE Trans. Mob. Comput., 2016
A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions.
BMC Bioinform., 2016
Erratum to: A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions.
BMC Bioinform., 2016
Proceedings of the UAI 2016 Workshop on Causation: Foundation to Application co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016
Proceedings of the UAI 2016 Workshop on Causation: Foundation to Application co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016
SCENERY: A Web-Based Application for Network Reconstruction and Visualization of Cytometry Data.
Proceedings of the 10th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
2015
Constraint-based causal discovery from multiple interventions over overlapping variable sets.
J. Mach. Learn. Res., 2015
Performance-Estimation Properties of Cross-Validation-Based Protocols with Simultaneous Hyper-Parameter Optimization.
Int. J. Artif. Intell. Tools, 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
T-ReCS: Stable Selection of Dynamically Formed Groups of Features with Application to Prediction of Clinical Outcomes.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
CoRR, 2014
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013
2012
J. Mach. Learn. Res., 2012
To feature space and back: Identifying top-weighted features in polynomial Support Vector Machine models.
Intell. Data Anal., 2012
Proceedings of the Artificial Intelligence: Theories and Applications, 2012
Proceedings of the Information Search, Integration and Personalization, 2012
Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs.
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012
2011
Risk Assessment Models for Diabetes Complications: A Survey of Available Online Tools.
Proceedings of the Wireless Mobile Communication and Healthcare, 2011
Information-Preserving Techniques Improve Chemosensitivity Prediction of Tumours Based on Expression Profiles.
Proceedings of the Engineering Applications of Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
A unified approach to estimation and control of the False Discovery Rate in Bayesian network skeleton identification.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Using Constraint Optimization for Conflict Resolution and Detail Control in Activity Recognition.
Proceedings of the Ambient Intelligence, 2011
2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions.
J. Mach. Learn. Res., 2010
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation.
J. Mach. Learn. Res., 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
2009
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009
2008
Proceedings of the Causation and Prediction Challenge at WCCI 2008, 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
2006
Mach. Learn., 2006
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006
2005
Research Paper: Text Categorization Models for High-Quality Article Retrieval in Internal Medicine.
J. Am. Medical Informatics Assoc., 2005
GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression data.
Int. J. Medical Informatics, 2005
A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis.
Bioinform., 2005
Using the <i>GEMS</i> System for Supervised Analysis of Cancer Microarray Gene Expression Data.
Proceedings of the AMIA 2005, 2005
Proceedings of the AMIA 2005, 2005
Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression Data.
Proceedings of the Proceedings, 2005
A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms.
Proceedings of the Proceedings, 2005
2004
Methods for Multi-Category Cancer Diagnosis from Gene Expression Data: A Comprehensive Evaluation to Inform Decision Support System Development.
Proceedings of the MEDINFO 2004, 2004
Proceedings of the MEDINFO 2004, 2004
Proceedings of the Machine Learning, 2004
2003
Autominder: an intelligent cognitive orthotic system for people with memory impairment.
Robotics Auton. Syst., 2003
Constraints An Int. J., 2003
Artif. Intell., 2003
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery.
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2003
Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors.
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2003
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003
Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003
Proceedings of the AMIA 2003, 2003
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003
2002
Proceedings of the Methods and Applications of Artificial Intelligence, 2002
Proceedings of the 12th International Workshop on Research Issues in Data Engineering: Engineering E-Commerce/E-Business Systems, 2002
2001
Proceedings of the Advances in Plan-Based Control of Robotic Agents, 2001
2000
Merging Plans with Quantitative Temporal Constraints, Temporally Extended Actions, and Conditional Branches.
Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, 2000
1998
Int. J. Hum. Comput. Stud., 1998
Reformulating Temporal Plans for Efficient Execution.
Proceedings of the Sixth International Conference on Principles of Knowledge Representation and Reasoning (KR'98), 1998
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998