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Mencar, Corrado
University of Bari
Bari, Italy
 
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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.

 
 
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- 10 of 32 reviews

   
  Foundational Python for data science
Behrman K., Addison-Wesley Professional, Boston, MA, 2021. 256 pp.  Type: Book (978-1-366243-59-1)

The collection of books on data science is becoming so large that it is itself an interesting subject for data science analysis [1,2]. This is amply justified by the galloping success of data science among students, researchers, and practitioners ...

Apr 20 2023  
  Cause Effect Pairs in Machine Learning
Guyon I., Statnikov A., Bakir Batu B., Springer, New York, NY, 2020. 372 pp.  Type: Book (978-3-030218-09-6)

From the earliest courses in statistics we are taught that correlation does not imply causation. However, apart from some special cases, it is also generally true that causation implies correlation (or dependency). While the first sent...

May 17 2022  
  Fuzzy collaborative forecasting and clustering: methodology, system architecture, and applications
Chen T., Honda K., Springer International Publishing, New York, NY, 2019. 100 pp.  Type: Book (978-3-030225-73-5)

Collaborative machine learning (ML)--sometimes known as federated ML--has been gaining momentum in the last few years for several in-demand reasons, including privacy-preserving data analysis, sharing complex computat...

Jun 14 2021  
   Discrete fuzzy measures: computational aspects
Beliakov G., James S., Wu J., Springer International Publishing, New York, NY, 2020. 245 pp.  Type: Book (978-3-030153-04-5)

Decision-making is a problem-solving activity aimed at reckoning a choice by taking into account a possibly large number of constraints, preferences, beliefs, and costs, among other things. It is a complex discipline that requires soph...

Mar 9 2020  
   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 ...

Aug 2 2019  
   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 readersh...

Nov 28 2018  
   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...

Jul 10 2018  
   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 giv...

Apr 9 2018  
   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 e...

Dec 20 2017  
   Guide to discrete mathematics: an accessible introduction to the history, theory, logic and applications
O’Regan G., Springer International Publishing, New York, NY, 2016. 368 pp.  Type: Book (978-3-319445-60-1)

A book on discrete mathematics written by a software engineer certainly raises curiosity and interest because looking at math with the eye of a computer specialist allows the reader to see many of the infinite bridges connecting comput...

Jul 13 2017  
 
 
 
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