• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 19 matches

• 2018
• 
  Krassimir T. Atanassov, Peter Vassilev:
  On the Intuitionistic Fuzzy Sets of n-th Type. Advances in Data Analysis with Computational Intelligence Methods 2018: 265-274
• 
  Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi:
  On the Interpretation and Characterization of Echo State Networks Dynamics: A Complex Systems Perspective. Advances in Data Analysis with Computational Intelligence Methods 2018: 143-167
• 
  Jerzy Blaszczynski, Jerzy Stefanowski:
  Local Data Characteristics in Learning Classifiers from Imbalanced Data. Advances in Data Analysis with Computational Intelligence Methods 2018: 51-85
• 
  Oscar Castillo, Carlos Soto, Fevrier Valdez:
  A Review of Fuzzy and Mathematic Methods for Dynamic Parameter Adaptation in the Firefly Algorithm. Advances in Data Analysis with Computational Intelligence Methods 2018: 311-321
• 
  Andrzej Cichocki:
  Tensor Networks for Dimensionality Reduction, Big Data and Deep Learning. Advances in Data Analysis with Computational Intelligence Methods 2018: 3-49
• 
  Krzysztof J. Cios:
  Deep Neural Networks - A Brief History. Advances in Data Analysis with Computational Intelligence Methods 2018: 183-200
• 
  Adam E. Gaweda, Michael E. Brier:
  Computational Intelligence Methods in Personalized Pharmacotherapy. Advances in Data Analysis with Computational Intelligence Methods 2018: 325-333
• 
  Milosz Kadzinski, Michal K. Tomczyk, Roman Slowinski:
  Interactive Cone Contraction for Evolutionary Mutliple Objective Optimization. Advances in Data Analysis with Computational Intelligence Methods 2018: 293-309
• 
  Krystian Lapa, Krzysztof Cpalka:
  Evolutionary Approach for Automatic Design of PID Controllers. Advances in Data Analysis with Computational Intelligence Methods 2018: 353-373
• 
  Krystian Lapa, Krzysztof Cpalka, Leszek Rutkowski:
  New Aspects of Interpretability of Fuzzy Systems for Nonlinear Modeling. Advances in Data Analysis with Computational Intelligence Methods 2018: 225-264
• 
  Jacek Mandziuk:
  MCTS/UCT in Solving Real-Life Problems. Advances in Data Analysis with Computational Intelligence Methods 2018: 277-292
• 
  Grzegorz J. Nalepa:
  Techniques for Construction and Integration of Rule Bases. Advances in Data Analysis with Computational Intelligence Methods 2018: 203-223
• 
  Szymon Piasecki, Robert Szmurlo, Jacek Rabkowski, Marian P. Kazmierkowski:
  A Method of Design and Optimization for SiC-Based Grid-Connected AC-DC Converters. Advances in Data Analysis with Computational Intelligence Methods 2018: 395-412
• 
  Martha Pulido, Patricia Melin, Olivia Mendoza:
  Optimization of Ensemble Neural Networks with Type-1 and Interval Type-2 Fuzzy Integration for Forecasting the Taiwan Stock Exchange. Advances in Data Analysis with Computational Intelligence Methods 2018: 169-181
• 
  Pawel Szmeja, Maria Ganzha, Marcin Paprzycki, Wieslaw Pawlowski:
  Dimensions of Semantic Similarity. Advances in Data Analysis with Computational Intelligence Methods 2018: 87-125
• 
  Ryszard Tadeusiewicz:
  Some Interesting Phenomenon Occurring During Self-learning Process with Its Psychological Interpretation. Advances in Data Analysis with Computational Intelligence Methods 2018: 127-139
• 
  Marcin Zalasinski, Krzysztof Cpalka, Leszek Rutkowski:
  Fuzzy-Genetic Approach to Identity Verification Using a Handwritten Signature. Advances in Data Analysis with Computational Intelligence Methods 2018: 375-394
• 
  Zdzislaw Kowalczuk, Michal Czubenko:
  Embodying Intelligence in Autonomous and Robotic Systems with the Use of Cognitive Psychology and Motivation Theories. Advances in Data Analysis with Computational Intelligence Methods 2018: 335-352
• 
  Adam E. Gaweda, Janusz Kacprzyk, Leszek Rutkowski, Gary G. Yen:
  Advances in Data Analysis with Computational Intelligence Methods - Dedicated to Professor Jacek Żurada. Studies in Computational Intelligence 738, Springer 2018, ISBN 978-3-319-67945-7 [contents]
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