Constantin F. Aliferis

65 papers A* 5A 3B 1Misc 17Journal 25Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Artifacts in spatial transcriptomics data: their detection, importance, prevalence, and prevention. Briefings Bioinform. Erich Kummerfeld, Leland Williams, Yinzhao Wang, Samuel T. Peters, Elizabeth Schmidt, Mickayla Dufresne-To, David Bernlohr, Paul Robbins, Sayeed Ikramuddin, Oyedele Adeyi, Linshan Laux, Grant Barthel, Steven Johnson, Jinhua Wang, Laura Niedernhofer, Andrew Nelson, Constantin F. Aliferis
2018	Misc	`conf`	Developing a Clinico-Molecular Test for Individualized Treatment of Ovarian Cancer: The interplay of Precision Medicine Informatics with Clinical and Health Economics Dimensions. AMIA Boris Winterhoff, Stefan Kommoss, Florian Heitz, Gottfried Konecny, Sean Dowdy, Sally Mullany, Tjoung-won Simon, Klaus Baumann, Felix Hilpert, Sara Brucker, Andreas du Bios, Willibald Schröde, Alexander Burges, Steven Shen, Jinhua Wang, Roshan Tourani, Sisi Ma, Jacobus Pfisterer, Constantin F. Aliferis
2015	Misc	`conf`	Computational Methods for Unraveling Temporal Brain Connectivity Data. AMIA Bisakha Ray, Constantin F. Aliferis, Alexander R. Statnikov
2015	J	`jnl`	Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery. J. Mach. Learn. Res. Alexander R. Statnikov, Sisi Ma, Mikael Henaff, Nikita I. Lytkin, Efstratios Efstathiadis, Eric R. Peskin, Constantin F. Aliferis
2014	J	`jnl`	A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization. J. Assoc. Inf. Sci. Technol. Yindalon Aphinyanaphongs, Lawrence D. Fu, Zhiguo Li, Eric R. Peskin, Efstratios Efstathiadis, Constantin F. Aliferis, Alexander R. Statnikov
2014	J	`jnl`	Medical decision support using machine learning for early detection of late-onset neonatal sepsis. J. Am. Medical Informatics Assoc. Subramani Mani, Asli Ozdas, Constantin F. Aliferis, Huseyin Atakan Varol, Qingxia Chen, Randy J. Carnevale, Yukun Chen, Joann Romano-Keeler, Hui Nian, Jörn-Hendrik Weitkamp
2013	J	`jnl`	A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques CoRR Constantin F. Aliferis, Gregory F. Cooper
2013	J	`jnl`	Algorithms for discovery of multiple Markov boundaries. J. Mach. Learn. Res. Alexander R. Statnikov, Jan Lemeire, Constantin F. Aliferis
2013	J	`jnl`	An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Usin CoRR Constantin F. Aliferis, Gregory F. Cooper
2013	J	`jnl`	Computer models for identifying instrumental citations in the biomedical literature. Scientometrics Lawrence D. Fu, Yindalon Aphinyanaphongs, Constantin F. Aliferis
2013	—	`conf`	Identifying Unproven Cancer Treatments on the Health Web: Addressing Accuracy, Generalizability and Scalability. MedInfo Yindalon Aphinyanaphongs, Lawrence D. Fu, Constantin F. Aliferis
2013	Misc	`conf`	Informaticians, CxIOs and Industry: Strengthening the Fabric of HealthIT. AMIA Titus Schleyer, Blackford Middleton, Bret Shillingstad, J. Marc Overhage, Constantin F. Aliferis
2011	J	`jnl`	A comparison of evaluation metrics for biomedical journals, articles, and websites in terms of sensitivity to topic. J. Biomed. Informatics Lawrence D. Fu, Yindalon Aphinyanaphongs, Lily Wang, Constantin F. Aliferis
2011	—	`conf`	Time Series Analysis with the Causality Workbench. NIPS Mini-Symposium on Causality in Time Series Isabelle Guyon, Alexander R. Statnikov, Constantin F. Aliferis
2010	J	`jnl`	Analysis and Computational Dissection of Molecular Signature Multiplicity. PLoS Comput. Biol. Alexander R. Statnikov, Constantin F. Aliferis
2010	—	`conf`	Bayesian Algorithms for Causal Data Mining. NIPS Causality: Objectives and Assessment Subramani Mani, Constantin F. Aliferis, Alexander R. Statnikov
2010	J	`jnl`	Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation. J. Mach. Learn. Res. Constantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos
2010	J	`jnl`	Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions. J. Mach. Learn. Res. Constantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos
2010	—	`conf`	TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries. NIPS Causality: Objectives and Assessment Alexander R. Statnikov, Constantin F. Aliferis
2010	J	`jnl`	Using content-based and bibliometric features for machine learning models to predict citation counts in the biomedical literature. Scientometrics Lawrence D. Fu, Constantin F. Aliferis
2009	J	`jnl`	The FAST-AIMS Clinical Mass Spectrometry Analysis System. Adv. Bioinformatics Nafeh Fananapazir, Alexander R. Statnikov, Constantin F. Aliferis
2008	J	`jnl`	A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification. BMC Bioinform. Alexander R. Statnikov, Lily Wang, Constantin F. Aliferis
2008	—	`ed.`	Causation and Prediction Challenge at WCCI 2008, Hong Kong, June 1-6, 2008 WCCI Causation and Prediction Challenge Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov
2008	—	`conf`	Design and Analysis of the Causation and Prediction Challenge. WCCI Causation and Prediction Challenge Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov
2008	Misc	`conf`	Models for Predicting and Explaining Citation Count of Biomedical Articles. AMIA Lawrence D. Fu, Constantin F. Aliferis
2007	B	`conf`	A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data. AIME Subramani Mani, Constantin F. Aliferis
2007	—	`conf`	A Comparison of Impact Factor, Clinical Query Filters, and Pattern Recognition Query Filters in Terms of Sensitivity to Topic. MedInfo Lawrence D. Fu, Lily Wang, Yindalon Aphinyanagphongs, Constantin F. Aliferis
2007	Misc	`conf`	Are Random Forests Better than Support Vector Machines for Microarray-Based Cancer Classification? AMIA Alexander R. Statnikov, Constantin F. Aliferis
2007	—	`conf`	Learning Causal and Predictive Clinical Practice Guidelines from Data. MedInfo Subramani Mani, Constantin F. Aliferis, Shanthi Krishnaswami, Theodore Kotchen
2007	—	`conf`	Text Categorization Models for Identifying Unproven Cancer Treatments on the Web. MedInfo Yindalon Aphinyanaphongs, Constantin F. Aliferis
2006	Misc	`conf`	Generating Realistic Large Bayesian Networks by Tiling. FLAIRS Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown, Constantin F. Aliferis
2006	Misc	`conf`	Prospective Validation of Text Categorization Filters for Identifying High-Quality, Content-Specific Articles in MEDLINE. AMIA Yindalon Aphinyanaphongs, Constantin F. Aliferis
2006	J	`jnl`	Research Paper: A Comparison of Citation Metrics to Machine Learning Filters for the Identification of High Quality MEDLINE Documents. J. Am. Medical Informatics Assoc. Yindalon Aphinyanaphongs, Alexander R. Statnikov, Constantin F. Aliferis
2006	J	`jnl`	Research Paper: Using Citation Data to Improve Retrieval from MEDLINE. J. Am. Medical Informatics Assoc. Elmer V. Bernstam, Jorge R. Herskovic, Yindalon Aphinyanaphongs, Constantin F. Aliferis, Madurai G. Sriram, William R. Hersh
2006	J	`jnl`	The max-min hill-climbing Bayesian network structure learning algorithm. Mach. Learn. Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis
2005	A*	`conf`	A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms. AAAI Laura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis
2005	J	`jnl`	A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinform. Alexander R. Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos, Douglas P. Hardin, Shawn Levy
2005	Misc	`conf`	Extracting Drug-Drug Interaction Articles from MEDLINE to Improve the Content of Drug Databases. AMIA Stephany Duda, Constantin F. Aliferis, Randolph A. Miller, Alexander R. Statnikov, Kevin B. Johnson
2005	Misc	`conf`	Formative Evaluation of a Prototype System for Automated Analysis of Mass Spectrometry Data. AMIA Nafeh Fananapazir, M. Li, D. Spentzos, Constantin F. Aliferis
2005	J	`jnl`	GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression data. Int. J. Medical Informatics Alexander R. Statnikov, Ioannis Tsamardinos, Yerbolat Dosbayev, Constantin F. Aliferis
2005	Misc	`conf`	Modeling Clinical Judgment and Implicit Guideline Compliance in the Diagnosisof Melanomas Using Machine Learning. AMIA Andrea Sboner, Constantin F. Aliferis
2005	J	`jnl`	Predicting dire outcomes of patients with community acquired pneumonia. J. Biomed. Informatics Gregory F. Cooper, Vijoy Abraham, Constantin F. Aliferis, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Janine E. Janosky, Gary Livingston, Tom M. Mitchell
2005	J	`jnl`	Research Paper: Text Categorization Models for High-Quality Article Retrieval in Internal Medicine. J. Am. Medical Informatics Assoc. Yindalon Aphinyanaphongs, Ioannis Tsamardinos, Alexander R. Statnikov, Douglas P. Hardin, Constantin F. Aliferis
2005	Misc	`conf`	Using the AMIA Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis
2005	A*	`conf`	Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression Data. AAAI Alexander R. Statnikov, Ioannis Tsamardinos, Constantin F. Aliferis
2004	—	`conf`	A Novel Algorithm for Scalable and Accurate Bayesian Network Learning. MedInfo Laura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis
2004	A*	`conf`	A theoretical characterization of linear SVM-based feature selection. ICML Douglas P. Hardin, Ioannis Tsamardinos, Constantin F. Aliferis
2004	—	`conf`	Learning Boolean Queries for Article Quality Filtering. MedInfo Yin Aphinyanaphongs, Constantin F. Aliferis
2004	—	`conf`	Methods for Multi-Category Cancer Diagnosis from Gene Expression Data: A Comprehensive Evaluation to Inform Decision Support System Development. MedInfo Alexander R. Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos
2003	Misc	`conf`	Algorithms for Large Scale Markov Blanket Discovery. FLAIRS Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
2003	—	`conf`	Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. METMBS Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown
2003	Misc	`conf`	HITON: A Novel Markov Blanket Algorithm for Optimal Variable Selection. AMIA Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov
2003	A*	`conf`	Identifying Markov Blankets with Decision Tree Induction. ICDM Lewis J. Frey, Douglas H. Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
2003	Misc	`conf`	Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data. FLAIRS Constantin F. Aliferis, Ioannis Tsamardinos, Pierre P. Massion, Alexander R. Statnikov, Nafeh Fananapazir, Douglas P. Hardin
2003	Misc	`conf`	Text Categorization Models for Retrieval of High Quality Articles in Internal Medicine. AMIA Yindalon Aphinyanaphongs, Constantin F. Aliferis
2003	A*	`conf`	Time and sample efficient discovery of Markov blankets and direct causal relations. KDD Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
2003	A	`conf`	Towards Principled Feature Selection: Relevancy, Filters and Wrappers. AISTATS Ioannis Tsamardinos, Constantin F. Aliferis
2003	—	`conf`	Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors. METMBS Constantin F. Aliferis, Ioannis Tsamardinos, Pierre P. Massion, Alexander R. Statnikov, Douglas P. Hardin
2002	Misc	`conf`	Machine learning models for lung cancer classification using array comparative genomic hybridization. AMIA Constantin F. Aliferis, Douglas P. Hardin, Pierre P. Massion
1998	Misc	`conf`	Temporal representation design principles: an assessment in the domain of liver transplantation. AMIA Constantin F. Aliferis, Gregory F. Cooper
1997	J	`jnl`	An evaluation of machine-learning methods for predicting pneumonia mortality. Artif. Intell. Medicine Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas S. Richardson, Peter Spirtes
1997	J	`jnl`	Representing and developing temporally abstracted knowledge as a means towards facilitating time modeling in medical decision-support systems. Comput. Biol. Medicine Constantin F. Aliferis, Gregory F. Cooper, Martha E. Pollack, Bruce G. Buchanan, Michael M. Wagner
1996	A	`conf`	A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques. UAI Constantin F. Aliferis, Gregory F. Cooper
1996	J	`jnl`	Research Paper: A Temporal Analysis of QMR. J. Am. Medical Informatics Assoc. Constantin F. Aliferis, Gregory F. Cooper, Randolph A. Miller, Bruce G. Buchanan, Richard Bankowitz, Nunzia Bettinsoli Giuse
1994	A	`conf`	An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets. UAI Constantin F. Aliferis, Gregory F. Cooper