https://people.cs.pitt.edu/~litman/courses/ads/readings/cowieCornelius03.pdf

Describing the emotional states that are expressed in speech

http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Schuller11-RRE.pdf

Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge

https://people.cs.pitt.edu/~litman/courses/ads/readings/douglas-cowie03.pdf

Emotional speech: towards a new generation of databases

The HUMAINE project is concerned with developing interfaces that will register and respond to emotion, particularly pervasive emotion (forms of feeling, expression and action that colour most of human life). The HUMAINE Database provides naturalistic clips which record that kind of material, in multiple modalities, and labelling techniques that are suited to describing it.

/pdf/the-humaine-database-addressing-the-collection-and-3ffxormqna.pdf

The HUMAINE Database: Addressing the Collection and Annotation of Naturalistic and Induced Emotional Data

https://www.coli.uni-saarland.de/publikationen/softcopies/Schroder:2000:ESA.pdf

Experimental study of affect bursts

P.S. Szczepaniak: Preface.- Keynotes: W. Pedrycz: Computational Intelligence: An Introduction.- D. Dubois, H. Prade: Fuzzy Information Engineering and Soft Computing.- M.M. Gupta: Fuzzy Neural Computing.- P.M. Frank: AI Methods AI Fault Diagnosis.- T. Kaczorek: Positive 2D Linear Systems.- Case Studies: M. Al-Rawi, A. Materka: Voiced/Unvoiced Speech Signal Segmentation Using Wavelet Analysis.- D. Baczynski, P. Helt, M. Parol, P. Piotrowski: ANN and EA in Electrical Distribution Network Optimisation.- J. Balicki: Evolutionary Neural Networks for Solving Multiobjective Optimization Problems.- D. Barrios, I.M. Galvan, P. Isasi, J. Rios, J.M. Zaldivar: A New Neural Network Approach to Allow Predicative Control in Real Time.- G. Brzykcy: Modelling User Interaction in Prolog Programs.- L. Constant, P. Lagarrigues, B. Dagues, I. Rivals, L. Personnaz: Modeling of Electromechanical System Using Feedback Neural Network.- M. Dolinska, K.J. Cios: Dynamic Multiobjective Pricing Strategy Using Fuzzy Logic.- D.V. Filatova: Application of Dynamic Factor Model for the Training Process Prediction.- P. Golabek, W. Kosinski, M. Weigl: Adaptation of Learning Rate via Adaptation of Weight Vector in Modified M-Delta Networks.- Z. Gontar: Electronic Distribution Planning - Lessons in Simulated Annealing.- Z.S. Hippe: Computational Intelligence - An Example of Searching Regularities.- A. Jozwik, K. Strzecha: Neuronlike Net, Standard k-NN Classifier and Net of k-NN Classifiers. An Experimental Comparison Study.- J. Kabzinski, P. Wozniak: Adaptive Plus Fuzzy/Neural Controllers for MIMO Nonlinear Plants.- J. Kazimierczak: On Solving Some Artificial Intelligence Problems by Using Evolvable Hardware.- E. Kacki,B.A. Ostrowska, J. Stempczynska: Diagnostic Algorithm Based on Expert Matrix Obtained by Monte-Carlo Method.- S.S. Lam, X. Cai: Distance Measures of Fuzzy Numbers.- S.J. Langdell, J.C. Mason: Exploiting the Relevance of Input Variables to Improve Classification of Biomedical Data.- H.S. Lopes: A Medical Diagnostic System Optimization Using Parallel Genetic Algorithms.- Z. Lubosny: Identification of Dynamic Object by Neural Network.- A. Materka, M. Strzelecki: Observation Domain Partitioning by Means of ANNs in Real-Time Parameter Estimation Systems.- W. Miszalski, Z. Swiatnicki, R. Wantoch-Rekowski: The Air Force Development Using Experts' Knowledge and Common Sense.- S.K. Mitra, C.A. Murthy, M.K. Kundu: Digital Image Magnification Using Fractal Operators and Genetic Algorithm.- J.M. Molina-Lopez, P. Isasi-Vinuela, A. Sanchis de Miguel: Expert System-Neural Network: A Hybrid System for Predictive Control.- K.W. Przytula, D. Thompson: Analysis of Trained Neural Networks.- J. Ratynska: An Inference Model and Natural Language Processing.- A. Riid, E. Rustern: Fuzzy Modeling and Controlling of Fed-Batch Fermentation.- D. Rutkowska, R. Norwicki, L. Rutkowski: Singleton and Non-Singleton Fuzzy Systems with Nonparametric Defuzzification.- P. Strumillo, W. kaminski, J. Skrzypski: Modelling and Interpolation of Seasonal Air Temperature Changes in Central Europe.- Z. Swiatnicki, R. Semklo: The Multilayer Perceptron for Object Recognition Based on Radar Signals.- Z. Swiatnicki, R. Wantoch-Rekowski: The Stars Recognition with Neural Network Based on Special Representation of Celestial Constellation.- M. Swiercz: Modular Neural Networks for Modeling of a Nonlinear Dynamic System. A Case Study.- G.E. Tsekouras, G.V. Bafas, S.K. Stoyanov: Multivariable

Piotr S. Szczepaniak

Papers

Computational intelligence and applications