Eduardo R. Hruschka

Research interests

Publications

• Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features

  Neurocomputing · 2016 · 10.1016/j.neucom.2016.04.027

• Using unsupervised information to improve semi-supervised tweet sentiment classification

  Information Sciences · 2016 · 10.1016/j.ins.2016.02.002

• An evolutionary algorithm for clustering data streams with a variable number of clusters

  Expert Systems with Applications · 2016 · 10.1016/j.eswa.2016.09.020

• A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning

  ACM Computing Surveys · 2016 · 10.1145/2932708

• Simultaneous co-clustering and learning to address the cold start problem in recommender systems

  Knowledge-Based Systems · 2015 · 10.1016/j.knosys.2015.02.016

• Combining Classification and Clustering for Tweet Sentiment Analysis

  · 2014 · 10.1109/bracis.2014.46

• Tweet sentiment analysis with classifier ensembles

  Decision Support Systems · 2014 · https://doi.org/10.1016/j.dss.2014.07.003

• Data stream clustering

  ACM Computing Surveys · 2013 · https://doi.org/10.1145/2522968.2522981

• Document Clustering for Forensic Analysis: An Approach for Improving Computer Inspection

  IEEE Transactions on Information Forensics and Security · 2012 · 10.1109/tifs.2012.2223679

• Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines

  IEEE Transactions on Fuzzy Systems · 2011 · 10.1109/tfuzz.2011.2175400

• Relative clustering validity criteria: A comparative overview

  Statistical Analysis and Data Mining The ASA Data Science Journal · 2010 · 10.1002/sam.10080

• Efficiency issues of evolutionary k-means

  Applied Soft Computing · 2010 · 10.1016/j.asoc.2010.06.010

• On the Comparison of Relative Clustering Validity Criteria

  · 2009 · 10.1137/1.9781611972795.63

• A Survey of Evolutionary Algorithms for Clustering

  IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · 2009 · https://doi.org/10.1109/tsmcc.2008.2007252

• Bayesian networks for imputation in classification problems

  Journal of Intelligent Information Systems · 2007 · 10.1007/s10844-006-0016-x

• Bayesian networks for imputation in classification problems

  Journal of Intelligent Information Systems · 2007 · 10.1007/s10844-006-0016-x

• A fuzzy extension of the silhouette width criterion for cluster analysis

  Fuzzy Sets and Systems · 2006 · 10.1016/j.fss.2006.07.006

• Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach

  Neurocomputing · 2006 · 10.1016/j.neucom.2005.12.127

• Evolutionary Algorithms for Clustering Gene-Expression Data

  · 2005 · 10.1109/icdm.2004.10073

• Evolving clusters in gene-expression data

  Information Sciences · 2005 · 10.1016/j.ins.2005.07.015

• A genetic algorithm for cluster analysis

  Intelligent Data Analysis · 2003 · 10.3233/ida-2003-7103

Current projects

No projects listed.