A systematic survey of computer-aided diagnosis in medicine: Past and present developments
J Yanase, E Triantaphyllou - Expert Systems with Applications, 2019 - Elsevier
Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort
expended in the interface of medicine and computer science. As some CAD systems in …
expended in the interface of medicine and computer science. As some CAD systems in …
Fuzzy logic—a personal perspective
LA Zadeh - Fuzzy sets and systems, 2015 - Elsevier
This paper marks the 50th anniversary of the publication of my first paper on fuzzy
sets,“Fuzzy sets,” Information and Control, 1965. What is of historical interest is that initially …
sets,“Fuzzy sets,” Information and Control, 1965. What is of historical interest is that initially …
[图书][B] Data mining in finance: advances in relational and hybrid methods
B Kovalerchuk, E Vityaev - 2000 - books.google.com
Data Mining in Finance presents a comprehensive overview of major algorithmic
approaches to predictive data mining, including statistical, neural networks, ruled-based …
approaches to predictive data mining, including statistical, neural networks, ruled-based …
Coupling logical analysis of data and shadow clustering for partially defined positive Boolean function reconstruction
The problem of reconstructing the and-or expression of a partially defined positive Boolean
function (pdpBf) is solved by adopting a novel algorithm, denoted by LSC, which combines …
function (pdpBf) is solved by adopting a novel algorithm, denoted by LSC, which combines …
Enhancement of cross validation using hybrid visual and analytical means with Shannon function
B Kovalerchuk - … Data Processing Techniques: Interval, Fuzzy etc …, 2020 - Springer
The algorithm of k-fold cross validation is actively used to evaluate and compare machine
learning algorithms. However, it has several important deficiencies documented in the …
learning algorithms. However, it has several important deficiencies documented in the …
[图书][B] Data mining and knowledge discovery via logic-based methods: theory, algorithms, and applications
E Triantaphyllou - 2010 - books.google.com
The importance of having ef cient and effective methods for data mining and kn-ledge
discovery (DM&KD), to which the present book is devoted, grows every day and numerous …
discovery (DM&KD), to which the present book is devoted, grows every day and numerous …
[PDF][PDF] Consistent and complete data and" expert" mining in medicine
B Kovalerchuk, E Vityaev, JF Ruiz - Studies in Fuzziness and Soft …, 2001 - math.nsc.ru
The ultimate purpose of many medical data mining systems is to create formalized
knowledge for a computer-aided diagnostic system, which can in turn, provide a second …
knowledge for a computer-aided diagnostic system, which can in turn, provide a second …
Physics of the mind, dynamic logic, and monotone Boolean functions
LI Perlovsky - Uncertainty Modeling: Dedicated to Professor Boris …, 2017 - Springer
The chapter discusses physics of the mind, a mathematical theory of higher cognition
developed from the first principles, including concepts, emotions, instincts, the knowledge …
developed from the first principles, including concepts, emotions, instincts, the knowledge …
Probabilistic dynamic logic of cognition
EE Vityaev, LI Perlovsky, BY Kovalerchuk… - Biologically Inspired …, 2013 - Elsevier
We developed an original approach to cognition, based on the previously developed theory
of neural modeling fields and dynamic logic. This approach is based on the detailed …
of neural modeling fields and dynamic logic. This approach is based on the detailed …
Modelling phenomena and dynamic logic of phenomena
B Kovalerchuk, L Perlovsky… - Journal of Applied Non …, 2012 - Taylor & Francis
Modelling a complex phenomenon such as the mind presents tremendous computational
complexity challenges. Modelling field theory (MFT) addresses these challenges in a non …
complexity challenges. Modelling field theory (MFT) addresses these challenges in a non …