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| | After graduating with a degree in physics from the University of Milano, Giuseppina Gini specialized in computer science as a post-doc fellow and worked on different artificial intelligence projects at the Politecnico di Milano (1972-1976). From 1976 to 1987, she held an assistant professor position at Politecnico di Milano, as well as various appointments as a visiting scholar and research assistant at Stanford University (California, USA) (in the Artificial intelligence Laboratory of the Computer Science Department and in the NMR Laboratory of the Medical School) and at SRI. Since 1987, she has been an associate professor at Politecnico di Milano, Faculty of Computer Engineering. Gini has written and edited two books, and has authored about 200 refereed papers in scientific journals, books, and conference proceedings. Among other professional services, she organized and chaired the Symposium on Predictive Toxicology (Stanford, March 1999) for the American Association of Artificial Intelligence, and the AI&Math special session on Knowledge Exploration in Predictive Toxicology (January 2000). She has been a partner in 16 international research projects (for NATO and the EU), and the coordinator of an EU project devoted to the development of new expert system methods in predictive toxicology. Moreover, she has directed seven national research projects. Her main areas of research are knowledge representation and reasoning, with an emphasis on algorithms, biologically inspired solutions, hybrid systems, and computational efficiency. The main application areas in which she focuses her work are spatial and visual reasoning, human-machine interaction, and data mining. Over the course of her career, she has developed languages, simulators, and planners. In addition, she has cooperated with many European research centers over the past 15 years on various projects related to toxicity modeling, predictive systems, data mining, and in silico models. Gini has been a reviewer for Computing Reviews since 1985, and has over 60 published reviews. |
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1 - 9 of 9
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 Prediction of anti-cancer drug response by kernelized multi-task learning
Tan M. Artificial Intelligence in Medicine 7370-77, 2016. Type: Article
Predicting the drug response of patients in cancer therapy can be obtained by models built on large datasets of in-vitro tests on cancer cell lines. Such data is complex, as different data types are involved: genes, cell lines, and ant...
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Jun 7 2017 |
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Prediction of anti-cancer drug response by kernelized multi-task learning
Tan M. Artificial Intelligence in Medicine 7370-77, 2016. Type: Article
Predicting the drug response of patients in cancer therapy can be obtained by models built on large datasets of in-vitro tests on cancer cell lines. Such data is complex, as different data types are involved: genes, cell lines, and ant...
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Jun 7 2017 |
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A swarm cognition realization of attention, action selection, and spatial memory
Santana P., Correia L. Adaptive Behavior 18(5): 428-447, 2010. Type: Article
Perception is a sensory motor process and, as such, parallel processes are supposed to manage visual focus and action selection. In order to model the perception process, this paper proposes and explores a formalism derived from the be...
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Feb 22 2011 |
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Performance evaluation and benchmarking of intelligent systems
Madhavan R., Tunstel E., Messina E., Springer Publishing Company, Incorporated, New York, NY, 2009. 338 pp. Type: Book (978-1-441904-91-1)
Performance evaluation is crucial for any technological advancement. Benchmarking is the usual way to standardize a performance evaluation method. The book questions how to define performance evaluation and benchmarking for intelligent...
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Dec 23 2009 |
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Semantic grid: model, methodology, and applications
Wu Z., Chen H., Springer Publishing Company, Incorporated, 2008. 500 pp. Type: Book (9783540794530)
This book is an organized proposal of the various components of a system able to integrate grid computing and the semantic Web, and is mostly based on the research activity of the Advanced Computing and System (CCNT) Labo...
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Jan 27 2009 |
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Evolutionary computation for biclustering of gene expression
Aguilar-Ruiz J., Divina F. Applied computing (Proceedings of the 2005 ACM Symposium on Applied Computing, Santa Fe, New Mexico, Mar 13-17, 2005) 959-960, 2005. Type: Proceedings
This short paper from the Symposium on Applied Computing illustrates an algorithm, called SEBI, for solving the biclustering problem of gene analysis. The algorithm introduces evolutionary computation into the basic schema of such meth...
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Jul 28 2005 |
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Evolutionary computation for biclustering of gene expression
Aguilar-Ruiz J., Divina F. Applied computing (Proceedings of the 2005 ACM Symposium on Applied Computing, Santa Fe, New Mexico, Mar 13-17, 2005) 959-960, 2005. Type: Proceedings
This short paper from the Symposium on Applied Computing illustrates an algorithm, called SEBI, for solving the biclustering problem of gene analysis. The algorithm introduces evolutionary computation into the basic schema of such meth...
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Jul 28 2005 |
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The collective control of perceptions: constructing order from conflict
McClelland K. International Journal of Human-Computer Studies 60(1): 65-99, 2004. Type: Article, Reviews: (1 of 2)
The author develops a new aspect of perceptual control theory (PCT), indicating how collective control processes arise from different agents, and how conflict and cooperation are explained in PCT....
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Apr 19 2004 |
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Vision for Mobile Robot Navigation: A Survey
DeSouza G., Kak A. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(2): 237-267, 2002. Type: Article
The authors of this paper survey most of the research developed in the last 20 years in the field of mobile robot navigation through vision. They provide background information, draw a schema, and introduce the main methods that have ...
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Oct 14 2002 |
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