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Home PageJacek M. ZuradaMembersAffiliatesPublicationsResearch ProjectsVisiting Researcher and Graduate Student Opportunities |
Our research projectsAdditive Parts-Based Data Representation with Non-negative Sparse AutoencodersDeveloping autoencoders with receptive fields that show additive contributions as features of 2D and 3D imagesHumanizing Black Box Data Predictions with the Power of ExplanationsWork with graduate students on recommender systems woth explanation facilityBuilding Virtual Community in Computational Intelligence and Machine LearningDeveloping the CIML Community web portalComputational Intelligence in Medical DiagnosisImproving performance of case-based classifiers for breast cancer detectionCase-specific reliability assessment in medical diagnosis Chaotic Dynamics of Coupled OscillatorsData Mining Using Computational Intelligence TechniquesExpert systems for testing, diagnostics, and medicineFuzzy rule extraction resulting in linguistic descriptions of data relationships Theory of Neural NetworksOptimization of neural network architectures through perturbation methods, pruning techniques, and improved learning/scaling approachesMultivalued attractor-type associative memories Neural Networks for Control, Identification, and PredictionInverse neural modeling of dynamic plantsTime series prediction Prediction of drug dosage levels using neurocomputing Development of neuro-fuzzy system to predict spine loading as a function of multiple dimensions of risk Other Applications of Computational Intelligence TechniquesIdentification of semiconductor manufacturing processesDesign centering and yield maximization in manufacturing | ||||||
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