Welcome to the Machine Learning and Soft Computing website.
This page documents the Machine Learning and Soft Computing research line at the Department of Computer and Information Sciences, University of Genova, Italy. The maintainer of these pages is Stefano Rovetta (e-mail him at ste (at) disi.unige.it).
|Electronic engineer, assistant professor in computer science since year 2000, PhD in "Models, methods, and tools for electronic and electro-magnetic systems", since 1992 he has been doing research on neural network models, implementations and applications in biomedical data processing, image and video analysis and processing, and multimedia information processing. His current research interests include machine learning and clustering techniques for high-dimensional biomedical data analysis (funded by the Ministry of University since 2002) and document analysis (funded by the Ministry of University since 2003). He is the author of more than 100 international scientific publications.|
|Manjunath Aradhya V. N. received his Ph.D, Master’s and Bachelor’s degree in Computer Science in 2007, 2004 and 2001 respectively from University of Mysore, Mysore, INDIA. He is currently working as a PostDoc researcher in DISI, University of Genova, Italy with the supervision of Prof. Francesco Masulli. His research interests are Document Image Analysis, Pattern recognition, Biometrics, Biclustering, Machine learning, and Applications of Linear Algebra for the Solution of Engineering Problems.|
|Chenna Reddy Cotla|
|Giuseppe Russo, Ph.D is a Research Assistant Professor and Director of the Cancer Systems Biology and eHEALTH Programs. Dr. Russo’s research focuses on understanding the role and the molecular mechanisms of microRNAs in human cells leading to cancer pathogenesis and development, as well as work in cancer systems biology and bioinformatics. Dr. Russo is also an Adjunct Professor at the Department of Computer and Information Sciences (DISI), University of Genoa, Italy and a Senior Adviser to the Human Health Foundation Onlus (HHF), a nonprofit research foundation, located in Spoleto, Italy. Dr. Russo’s research has been supported by National Institute of Health (NIH), several private foundations and organizations, as well as by SHRO.|
|Maurizio Filippone received a Master's degree in Physics in 2004 and a PhD in Computer Science in 2008, from the University of Genova. In 2007, he has been Research Scholar at the Information and Software Engineering Department, at George Mason University. In 2008, he joined the Machine Learning group at the University of Sheffield as a Research Associate. His research interests are focused on Machine Learning techniques and their applications to pattern recognition, bioinformatics, and time series analysis and forecasting.|
|Katsuhiro Honda received the B.E., M.E. and D.Eng. degrees in industrial engineering from Osaka Prefecture University, Osaka, Japan, in 1997, 1999, and 2004, respectively. He is currently a Research Associate with the Department of Computer Sciences and Intelligent Systems, Osaka Prefecture University. His research interests include hybrid techniques of fuzzy clustering and multivariate analysis, data mining with fuzzy data analysis, and neural networks. Dr. Honda received the paper award and young investigator award from the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT) in 2002 and 2005, respectively, and gave a tutorial on “Introduction to Clustering Techniques” at the 2004 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2004).|
|Giorgio Valentini received the degree in Biology at the University of Genova in 1981. He has been teacher of biology and chemistry in Italian high school from 1982 to 1999. In 1999 he obtained the degree in Computer Science at the University of Milano and obtained a 6-month fellowship at INFM. During 2001 he was visiting fellow at the Computer Science Department of the Oregon State University. In 2003 he obtained the PhD in Computer Science at the University of Genova. From January 2005 he is Assistant professor at DSI, Computer Science Department, University of Milano. His main research focuses on bioinformatics and machine learning. The research activities are documented by more than 70 publications in journals and international conference proceedings. He contributed to several national and international research projects. He collaborated with Tom Dietterich (Computer Science Dept., Oregon State University) to a NSF funded project for the development of ECOC ensembles and ensembles methods based on bias-variance analysis. He organized international conferences and workshops on bioinformatics and ensemble methods, and participated to several scientific committees of international conferences.|
All areas of Natural Computing with emphasis on soft computing techniques, machine learning methods, clustering.
Our research results have been applied to several fields including biomedical image segmentation, bioinformatics, decision support systems, optical character recognition, automatic processing of multilingual documents.