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Corrado Mencar Ph.D
University of Bari
Bari, Italy
 

Corrado Mencar is currently an assistant professor in the Department of Informatics at the University of Bari (Italy). He received his MS degree in Informatics in 2000 and a PhD in Informatics in 2005, both at the University of Bari. After receiving his master’s degree, he worked as a software analyst and designer for some Italian software firms. In 2005, he joined the University of Bari as an assistant professor, researching computational intelligence and related fields. His current research interests include fuzzy logic and fuzzy systems, granular computing, computational web intelligence, intelligent data analysis and genetic algorithms. The most important achievements in his research are related to the interpretability of fuzzy systems, that is, techniques for endowing fuzzy systems with empirically acquired knowledge that can be communicated to users in a way that is easy to read and understand.

He has been involved with several research projects and has written more than 60 peer-reviewed international papers. He also acts as a reviewer for several international journals, is member of the program committees of several conferences, and is an associate editor for the International Journal on Artificial Intelligence. Mencar has taught several undergraduate and graduate courses on topics related to his research, as well as courses on programming fundamentals, computer architectures and operating systems. He supervises of a number of PhD students and is the scientific supervisor of the department library.

In addition to his research interests, he is passionate about complex dynamical systems, including biological, social and natural systems. He is an avid reader of books in the field, and is a fan of Richard Dawkins, Douglas Hofstadter and Fritjof Capra.


     

 The book of why: the new science of cause and effect
Pearl J., Mackenzie D.,  Basic Books, Inc., New York, NY, 2018. 432 pp. Type: Book (978-0-465097-60-9), Reviews: (2 of 2)

In fields such as data science, explainable artificial intelligence (AI), and big data analytics, “why?” is the ultimate question that needs to be answered to make sense of real data. “Why?” has been the simplest question t...

 

Assessing and improving prediction and classification: theory and algorithms in C++
Masters T.,  Apress, New York, NY, 2018. 517 pp. Type: Book (978-1-484233-35-1)

There is an increased interest in machine learning (ML) in both academy and industry. One consequence is a greater demand for textbooks and other educational materials that explain the different facets of ML to a heterogeneous readership. While ma...

 

Probability and computing: randomization and probabilistic techniques in algorithms and data analysis (2nd ed.)
Mitzenmacher M., Upfal E.,  Cambridge University Press, New York, NY, 2017. 484 pp. Type: Book (978-1-107154-88-9), Reviews: (2 of 2)

Probability in computer science plays the same role as in physics: while there is a large corpus of theories and methodologies based on a purely deterministic underpinning, the introduction of probability opens the door to a vast field of new theo...

 

 On the logos: a naïve view on ordinary reasoning and fuzzy logic
Trillas E.,  Springer International Publishing, New York, NY, 2017. 213 pp. Type: Book (978-3-319560-52-6)

There are many books that you read to get answers to questions and doubts, and there are few books that leave you with more questions and doubts than before reading them. Yet, you can still be satisfied with such books because they give you the id...

 

Design of interpretable fuzzy systems
Cpałka K.,  Springer International Publishing, New York, NY, 2017. 196 pp. Type: Book (978-3-319528-80-9)

Data scientists are mainly required to extract valuable knowledge from data. To this end, intelligent systems are often designed for knowledge extraction and representation. This poses a number of challenges, including the ability of end users to ...

 
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