Jacek M. Zurada | Academic Influence

Jacek M. Zurada's AcademicInfluence.com Rankings

Jacek M. Zurada

Computer Science

#2340

World Rank

#2440

Historical Rank

Machine Learning

#470

World Rank

#476

Historical Rank

Artificial Intelligence

#957

World Rank

#974

Historical Rank

Database

#1985

World Rank

#2083

Historical Rank

computer-science Degrees

Jacek M. Zurada

Engineering

#3089

World Rank

#4113

Historical Rank

Electrical Engineering

#838

World Rank

#907

Historical Rank

engineering Degrees

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Computer Science
Engineering

Jacek M. Zurada's Degrees

PhD Electrical Engineering Warsaw University of Technology

Why Is Jacek M. Zurada Influential?

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According to Wikipedia, Jacek M. Zurada is a Polish engineer who serves as a Professor of Electrical and Computer Engineering Department at the University of Louisville, Kentucky. His M.S. and Ph.D. degrees are from Politechnika Gdaṅska ranked as #1 among Polish universities of technology. He has held visiting appointments at Swiss Federal Institute of Technology, Zurich, Princeton, Northeastern, Auburn, and at overseas universities in Australia, Chile, China, France, Germany, Hong Kong, Italy, Japan, Poland, Singapore, Spain, and South Africa. He is a Life Fellow of IEEE and a Fellow of International Neural Networks Society and Doctor Honoris Causa of Czestochowa Institute of Technology, Poland.

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Jacek M. Zurada's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Introduction to artificial neural systems (1992) (3080)
Normalized Mutual Information Feature Selection (2009) (960)
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance (2008) (727)
An approach to multimodal biomedical image registration utilizing particle swarm optimization (2004) (414)
Complex-valued multistate neural associative memory (1996) (400)
Computational Intelligence: Imitating Life (1994) (367)
Artificial Intelligence and Soft Computing, 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I (2010) (349)
Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images (1996) (301)
Artificial Intelligence and Soft Computing - ICAISC 2006, 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings (2006) (258)
Swarm and Evolutionary Computation (2012) (230)
A new design method for the complex-valued multistate Hopfield associative memory (2003) (230)
Extraction of rules from artificial neural networks for nonlinear regression (2002) (224)
Sensitivity analysis for minimization of input data dimension for feedforward neural network (1994) (213)
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I (2006) (204)
Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints (2016) (184)
Nonlinear blind source separation using a radial basis function network (2001) (176)
Generalized Core Vector Machines (2006) (174)
Perturbation method for deleting redundant inputs of perceptron networks (1997) (166)
Computational intelligence methods for rule-based data understanding (2004) (156)
Review and performance comparison of SVM- and ELM-based classifiers (2014) (150)
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons (2008) (147)
Knowledge-based neurocomputing (2000) (138)
Artificial Intelligence and Soft Computing - ICAISC 2008, 9th International Conference, Zakopane, Poland, June 22-26, 2008, Proceedings (2008) (135)
Learning Understandable Neural Networks With Nonnegative Weight Constraints (2015) (113)
Discrete-Time Recurrent Neural Networks With Complex-Valued Linear Threshold Neurons (2009) (87)
Data-driven linguistic modeling using relational fuzzy rules (2003) (77)
Determining the Significance of Input Parameters using Sensitivity Analysis (1995) (76)
Neural Network Predicted Peak and Trough Gentamicin Concentrations (1995) (75)
Feature Selection for Neural Networks Using Group Lasso Regularization (2020) (71)
Efficient Learning of Timeseries Shapelets (2016) (67)
Individualization of pharmacological anemia management using reinforcement learning (2005) (66)
A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method (2018) (60)
Regularizing Deep Neural Networks by Enhancing Diversity in Feature Extraction (2019) (59)
Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks (2014) (57)
Identification of Full and Partial Class Relevant Genes (2010) (55)
Pharmacodynamic population analysis in chronic renal failure using artificial neural networks - a comparative study (2003) (53)
Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities (2007) (53)
Sequential network construction for time series prediction (1997) (52)
Extracting Rules From Neural Networks as Decision Diagrams (2011) (51)
Redundant feature pruning for accelerated inference in deep neural networks (2019) (50)
An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems (2017) (50)
Generalized Hopfield networks for associative memories with multi-valued stable states (1996) (48)
Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty (2014) (46)
Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data (2018) (46)
Building Efficient ConvNets using Redundant Feature Pruning (2018) (46)
Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models (2016) (45)
A Data-Mining Approach to Identification of Risk Factors in Safety Management Systems (2017) (45)
Sentence recognition using artificial neural networks (2008) (44)
Estimation of the Dynamic Spinal Forces Using a Recurrent Fuzzy Neural Network (2007) (44)
Estimation of K distribution parameters using neural networks (2002) (43)
Efficiency and Scalability Methods for Computational Intellect (2013) (42)
Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning (2015) (41)
Blind extraction of singularly mixed source signals (2000) (40)
Introduction to the special issue on neural networks for data mining and knowledge discovery (2000) (40)
Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks (2020) (40)
Deterministic convergence of conjugate gradient method for feedforward neural networks (2011) (38)
RBF-based neurodynamic nearest neighbor classification in real pattern space (2006) (36)
Classifying the risk of work related low back disorders due to manual material handling tasks (2012) (36)
Input selection in data-driven fuzzy modeling (2001) (35)
Identification of Key Variables Using Fuzzy Average With Fuzzy Cluster Distribution (2007) (35)
Unknown Input Method Based Observer Synthesis for a Discrete Time Uncertain T–S Fuzzy System (2018) (34)
Bi-directional computing architecture for time series prediction (2001) (34)
Artificial Intelligence and Soft Computing (2014) (33)
An information-theoretic approach to estimating ultrasound backscatter characteristics (2004) (32)
Decision optimization of case-based computer-aided decision systems using genetic algorithms with application to mammography (2008) (32)
Input Layer Regularization of Multilayer Feedforward Neural Networks (2017) (32)
Crisp Rule Extraction from Perceptron Network Classifiers (1996) (31)
Cellular Neural Networks With Transient Chaos (2007) (30)
Convergence of batch gradient learning with smoothing regularization and adaptive momentum for neural networks (2016) (30)
The Hierarchical Fast Learning Artificial Neural Network (HieFLANN)—An Autonomous Platform for Hierarchical Neural Network Construction (2007) (30)
Could Decision Trees Improve the Classification Accuracy and Interpretability of Loan Granting Decisions? (2010) (29)
A Class of Single-Class Minimax Probability Machines for Novelty Detection (2007) (27)
Dynamic noise margins of MOS logic gates (1989) (27)
Unknown Input-Based Observer Synthesis for a Polynomial T–S Fuzzy Model System With Uncertainties (2018) (27)
Classification and estimation of ultrasound speckle noise with neural networks (2000) (26)
Analyzing Massive Data Sets: An Adaptive Fuzzy Neural Approach for Prediction, with a Real Estate Illustration (2014) (26)
Nonredundant sparse feature extraction using autoencoders with receptive fields clustering (2017) (26)
GMDH-type neural networks and their application to the medical image recognition of the lungs (1999) (26)
3-D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization (2016) (26)
Selection of examples in case-based computer-aided decision systems (2008) (25)
An energy function-based design method for discrete hopfield associative memory with attractive fixed points (2005) (25)
Convergence analyses on sparse feedforward neural networks via group lasso regularization (2017) (25)
Smooth group L1/2 regularization for input layer of feedforward neural networks (2018) (23)
Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty (2012) (23)
A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis (2020) (23)
Lung segmentation based on Nonnegative Matrix Factorization (2014) (22)
Building virtual community in computational intelligence and machine learning [Research Frontier] (2009) (22)
Analog implementation of neural networks (1992) (22)
Prediction of EMG signals of trunk muscles in manual lifting using a neural network model (2004) (21)
A Survey on Artificial Intelligence-Based Modeling Techniques for High Speed Milling Processes (2015) (21)
Shape Analysis of the Human Brain: A Brief Survey (2014) (21)
Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning (2016) (20)
Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks (2015) (20)
Neural Networks And Hybrid Intelligent Models: Foundations, Theory, And Applications (1998) (20)
A fuzzy relational rule network modeling of electromyographical activity of trunk muscles in manual lifting based on trunk angels, moments, pelvic tilt and rotation angles (2006) (20)
Experience-Consistent Modeling for Radial Basis Function Neural Networks (2008) (20)
Intelligent E-Learning Systems for Evaluation of User's Knowledge and Skills with Efficient Information Processing (2010) (19)
A dynamical system perspective of structural learning with forgetting (1998) (19)
Lambda learning rule for feedforward neural networks (1993) (19)
Inverse control of nonlinear systems using neural network observer and inverse mapping approach (1995) (18)
On Correlation of Features Extracted by Deep Neural Networks (2019) (18)
A two-stage algorithm for improved topography preservation in self-organizing maps (2000) (17)
Bifurcating neuron: computation and learning (2004) (17)
Signal Processing with temporal sequences in olfactory systems (2004) (17)
Clustering of receptive fields in Autoencoders (2016) (17)
Invariant Recognition of Spatio-Temporal Patterns in The Olfactory System Model (2002) (16)
Logistic GMDH-type neural networks and their application to the identification of the X-ray film characteristic curve (1999) (15)
Pruning via Dynamic Adaptation of the Forgetting Rate in Structural Learning (1996) (15)
Nonnegative Matrix Factorization for Document Clustering: A Survey (2014) (15)
Equivalent circuit of multiplying d.a.c. using R-2R ladder network (1980) (14)
The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization (2018) (14)
Fuzzy neural network with relational fuzzy rules (2000) (14)
Automatic Scaling using Gamma Learning for Feedforward Neural Networks (1995) (14)
Big Data in Capturing Business Value (2020) (13)
A class of discrete-time recurrent neural networks with multivalued neurons (2009) (13)
Capabilities and limitations of feedforward neural networks with multilevel neurons (1995) (13)
Noise and Dynamic Range of Active Filters with Operational Amplifiers (1975) (13)
Optimal data-driven rule extraction using adaptive fuzzy-neural models (2002) (13)
Comparisons of the Performance of Computational Intelligence Methods for Loan Granting Decisions (2011) (12)
Individualized model discovery: The case of anemia patients (2015) (12)
Data-driven design of fuzzy system with relational input partition (2001) (12)
Reinforcement learning approach to individualization of chronic pharmacotherapy (2005) (12)
Correntropy-Based Document Clustering via Nonnegative Matrix Factorization (2012) (12)
Neural network modeling of GaAs IC material and MESFET device characteristics (1999) (12)
Applications of fuzzy-based linguistic patterns for the assessment of computer screen design quality (1995) (12)
Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules (2011) (12)
Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery (2004) (12)
Equivalent Dominant Pole Approximation of Capacitively loaded VLSI Interconnection (1987) (11)
Application of the Givens Rotations in the Neural Network Learning Algorithm (2016) (11)
Incorporating prior knowledge into Q-learning for drug delivery individualization (2005) (11)
A Hybrid Neuro-fuzzy Approach for Spinal Force Evaluation in Manual Materials Handling Tasks (2005) (11)
Characterization of ultrasonic backscatter based on generalized entropy (2002) (11)
Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications (2004) (11)
Industry 4.0: A Special Section in IEEE Access (2017) (11)
Sufficient condition for convergence of a relaxation algorithm in actual single-layer neural networks (1990) (11)
Reliability analysis framework for computer-assisted medical decision systems. (2007) (11)
Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN) (2007) (11)
Solving Multi-agent Control Problems Using Particle Swarm Optimization (2007) (10)
Generalized regression neural networks for biomedical image interpolation (2001) (10)
Deterministic convergence analysis via smoothing group Lasso regularization and adaptive momentum for Sigma-Pi-Sigma neural network (2021) (10)
Knowledge Discovery Through Experiential Learning From Business and Other Contemporary Data Sources: A Review and Reappraisal (2011) (10)
Efficient data-driven modeling with fuzzy relational rule network (2002) (10)
Feedforward neural networks for estimating IC parametric yield and device characterization (1995) (10)
Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization (2012) (9)
Computational intelligence virtual community: Framework and implementation issues (2008) (9)
Extraction of linguistic rules from data via neural networks and fuzzy approximation (2000) (9)
Computational Matter (2018) (9)
Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode (2014) (9)
Big Data-driven Value Creation for Organizations (2019) (9)
Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials (2002) (9)
Current-mode network transformations (1994) (8)
Using clinical information in goal-oriented learning. (2007) (8)
Convergence suppression and divergence facilitation: new approach to prune hidden layer and weights of feedforward neural networks (1995) (8)
A Neuro-fuzzy Approach to Bad Debt Recovery in Healthcare (2014) (8)
2019 IEEE Symposium Series on Computational Intelligence (2019) (8)
Topography-Enhanced BMU Search in Self-Organizing Maps (2004) (8)
Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms (2007) (8)
Sparse Representation Learning of Data by Autoencoders with L_1/2 Regularization (2018) (7)
Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat's Barrel Cortex (2002) (7)
Neural networks with dynamic synapses for time-series prediction (1998) (7)
A Neural Network Controller for Optimal Temperature Control of Household Refrigerators (1998) (7)
An adaptive neuro-fuzzy inference system for predicting the risks of low back disorders due to manual material lifting jobs (2013) (7)
Construction of energy landscape for discrete Hopfield associative memory with guaranteed error correction capability (2003) (7)
Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker Indentification (2004) (7)
Prediction of dynamic forces on lumbar joint using a recurrent neural network model (2004) (7)
A supervised learning approach to landmark-based elastic biomedical image registration and interpolation (2002) (7)
A Neuro-Fuzzy System with Semi-supervised Learning for Bad Debt Recovery in the Healthcare Industry (2015) (7)
Competitive Layer Model of Discrete-Time Recurrent Neural Networks with LT Neurons (2010) (7)
Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I (Lecture Notes in Computer Science) (2006) (6)
Boundedness and convergence analysis of weight elimination for cyclic training of neural networks (2016) (6)
Neural estimation of scatterer density in ultrasound (2002) (6)
An adaptive incremental approach to constructing ensemble classifiers: application in an information-theoretic computer-aided decision system for detection of masses in mammograms. (2009) (6)
A new design method for complex-valued multistate hopfield associative memory (2003) (6)
Approximate dynamic programming for anemia management (2006) (6)
Temporal-to-spatial dynamic mapping, flexible recognition, and temporal correlations in an olfactory cortex model (2002) (6)
Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis (2007) (6)
Individualized drug dosing using RBF-Galerkin method: Case of anemia management in chronic kidney disease (2017) (6)
Estimating Soil Parameters Using the Kernel Function (2010) (6)
Radial Basis Function Interpolation and Galerkin Projection for Direct Trajectory Optimization and Costate Estimation (2021) (6)
Guest Editorial White Box Nonlinear Prediction Models (2011) (6)
Predicting the Risk of Low Back Disorders due to Manual Handling Tasks (2012) (6)
Weak Convergence of the Recursive Parzen-Type Probabilistic Neural Network in a Non-stationary Environment (2011) (6)
On performance measures of artificial neural networks trained by structural learning algorithms (1995) (6)
Projection-based gradient descent training of radial basis function networks (2004) (6)
Neural networks: binary monotonic and multiple-valued (2000) (6)
Data Mining Techniques in Predicting Default Rates on Customer Loans (2002) (6)
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III (2006) (5)
Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm (2017) (5)
Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty (2011) (5)
Self-Tuning Filter for Instrumentation (1984) (5)
Probabilistic Framework for Reliability Analysis of Information-Theoretic CAD Systems in Mammography (2006) (5)
Bayesian approach to analysis of protein patterns for identification of myeloma cancer (2003) (5)
Particle swarm optimization of neural network CAD systems with clinically relevant objectives (2007) (5)
Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions (2021) (5)
Nonnegative Matrix Factorization and its application to pattern analysis and text mining (2013) (5)
A Nonlinear Regression based Approach for Multilayer Soil Parameter Estimation (2014) (5)
Solving decentralized multi-agent control problems with genetic algorithms (2007) (5)
Time series prediction by a neural network model based on the bi-directional computation style (2000) (5)
Toward perceptually driven image retrieval in mammography: a pilot observer study to assess visual similarity of masses (2008) (4)
3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation (2020) (4)
Performance Assessment of Data Mining Methods for Loan Granting Decisions: A Preliminary Study (2010) (4)
A predistortion technique for RC‐active biquadratic filters (1983) (4)
A Fuzzy Neural Approach to Classifying Low Back Disorders Risks (2013) (4)
Batch and data streaming classification models for detecting adverse events and understanding the influencing factors (2019) (4)
Reliability Assessment of Ensemble Classifiers: Application in Mammography (2008) (4)
Cross-Layer Design of Joint Beamforming and Random Network Coding in Wireless Multicast Networks (2014) (4)
Neural and statistical modeling of ultrasound backscatter (2002) (4)
Chaotic Cellular Neural Networks with Negative Self-feedback (2006) (4)
A Novel Fast Feedforward Neural Networks Training Algorithm (2021) (4)
New stability condition for discrete-time fully coupled neural networks with multivalued neurons (2015) (4)
Multivalued neural associative memory (1995) (4)
Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures (2007) (4)
Artificial Intelligence and Soft Computing ICAISC 2006: 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings (Lecture Notes in Computer Science) (2006) (4)
A neural network approach for estimating large K distribution parameters (2001) (4)
Intelligent Neural Network Based Decision Unit for Robot Safety (1996) (4)
Delay estimate in a capacitively loaded URC line (1987) (4)
Therapeutic drug dosing prediction using adaptive models and artificial neural networks (1999) (4)
Scoring-Based Analysis of Protein Patterns for Identification of Myeloma Cancer (2003) (4)
A Bayesian Network Approach to Classifying Bad Debt in Hospitals (2016) (3)
Programmable State-Variable Active Biquads (1981) (3)
Automatic segmentation of pathological lung using incremental nonnegative matrix factorization (2015) (3)
A novel technique for assessing the case-specific reliability of decisions made by CAD tools (2005) (3)
Discovery Through Constraints: Imposing Constraints on Autoencoders for Data Representation and Dictionary Learning (2017) (3)
Computational circuits using the neural optimization concept (1989) (3)
Robust Identification Approach to Individualized Anemia Model (2011) (3)
A new stability condition for discrete time linear threshold recurrent neural networks (2014) (3)
Modeling the bursting behavior of the Hodgkin-Huxley neurons using genetic algorithm based parameter search (2018) (3)
Classificatory decomposition for time series clustering and categorization (2004) (3)
Algorithms to improve topography preservation in self-organizing maps (2003) (3)
Inverse mapping of continuous functions using feedforward neural networks (1997) (3)
Editorial IEEE Transactions on Neural Networks: Editorial Report and Passing the Baton Jacek M. Zurada (left) and Marios M. Polycarpou (2004) (3)
Multiplicative Algorithm for Correntropy-Based Nonnegative Matrix Factorization (2013) (3)
A Competitive Layer Model for Cellular Neural Networks (2012) (3)
Frequency Limitations Of Programmable Active Biquadratic Filters (1981) (3)
Symbolic Rule Representation in Neural Network Models (1997) (3)
Automated tuning of an electronic circuit board using the artificial neural network approach (1996) (3)
Dynamics of structural learning with an adaptive forgetting rate (1997) (3)
Estimation of Distribution Parameters Using Neural Networks (2001) (3)
Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection (2008) (3)
Convergence Analysis of Multilayer Feedforward Networks Trained with Penalty Terms: A Review (2015) (3)
Identification of Human Factors in Aviation Incidents Using a Data Stream Approach (2017) (3)
Minimal training set size estimation for neural network-based function approximation (1994) (2)
Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations (2021) (2)
Artificial Intelligence and Soft Computing : 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II (2016) (2)
Interpolation Theorem for the Number of Degree-Preserving Vertices of Spanning Trees (1987) (2)
Exact Hessian calculation in feedforward FIR neural networks (1998) (2)
June 2 (2020) (2)
Editorial - year 2002: submission options streamlined (2002) (2)
Reduction of neural network models for identification and control of nonlinear systems (1996) (2)
Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition (2012) (2)
Time Series Prediction using Rough Sets and Neural Networks Hybrid Approach (2003) (2)
Data Mining, Neural Networks and Rule Extraction; IEEE CI Distinguish Lecture (2006) (2)
Window Merge Neural Gas for Processing Pattern Sequences (2007) (2)
A fully approach for key variables identification of EMG evaluation signal (2005) (2)
A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results (2009) (2)
Utilization of a Hybrid Neuro-Fuzzy Engine to Predict Trunk Muscle Activity for Sagittal Lifting (2008) (2)
Hamiltonian vector field for the Lorenz invariant set (1999) (2)
Exact Gradient Calculation in Gamma Neural Networks (1997) (2)
Modified Hebbian learning rule for single layer learning (1993) (2)
Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons (2007) (2)
Artificial Intelligence and Soft Computing (2013) (2)
Evolutionary approach to ICA-R (2010) (2)
Yield improvement for GaAs IC manufacturing using neural network inverse modeling (1997) (2)
Neural Modeling of Relative Humidity on IP2C Vibrating Transducer (2014) (2)
IEEE Computational Intelligence Society (2018) (2)
Application of multiplying digital-to-analogue convertor to digital control of active filter characteristics (1981) (2)
Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I ... / Lecture Notes in Artificial Intelligence) (2013) (2)
Optimal Scheduling of Anticipated COVID-19 Vaccination: A Case Study of New York State (2020) (1)
Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance (2021) (1)
Case-Specific Reliability Assessment for Improved False Positive Reduction with an Information-Theoretic CAD System (2008) (1)
Editorial (2020) (1)
Toward VO-based Collaboration between Computational Intelligence-Machine Learning and Healthcare Communities (2009) (1)
Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks (2011) (1)
Toward Multidisciplinary Collaboration in the CIML Virtual Community (1)
Gain-tuned programmable 2nd-order filters with VCVS (1982) (1)
A pruning algorithm with relaxed conditions for high-order neural networks based on smoothing group <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2239" altimg="si242.svg"><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn><mml:mo>/</mml:mo (2022) (1)
Digitally Tunable Active Filter Biouads (1981) (1)
Artificial Intelligence and Soft Computing (2012) (1)
Artificial Intelligence and Soft Computing: 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-28, 2015, Proceedings, Part II (2015) (1)
Application of self-organizing network and MLP for fuzzy rule extraction (1999) (1)
Precise Warfarin Management through Personalized Modeling and Control with Limited Clinical Data (2021) (1)
Parameter estimation of generalized backscatter models using entropy maximization (2003) (1)
Introduction to Streaming Data Analytics and Applications Minitrack (2016) (1)
Confidence-based stratification of CAD recommendations with application to breast cancer detection (2006) (1)
Adaptive Individualized Modeling From Limited Clinical Data for Precise Anemia Management (2021) (1)
A Flexible Computer System for Ergonomic Diagnosis (1997) (1)
Program at glance (2017) (1)
Lung Segmentation Based on Incremental Constrained Nonnegative Matrix Factorization (2015) (1)
Boundedness of Weight Elimination for BP Neural Networks (2014) (1)
Discrete-Time Recurrent Neural Networks for Medical Image Segmentation Based on Competitive Layer Model with LT Neurons (2010) (1)
Noise performance of active RC filters realized by the cascade approach (1977) (1)
Constrained Autoencoders for Data Representation and Dictionary Learning (2017) (1)
Convergence Analysis of Inverse Iterative Neural Networks with L2 Penalty (2016) (1)
Diversity Regularized Adversarial Learning (2019) (1)
Summing networks using neural optimisation concept (1988) (1)
Identification of Low Back Injury from EMG Signals using a Neural Network Model (2006) (1)
Artificial Intelligence and Soft Computing (2016) (1)
Temporal Correlation of Afferent and Association Signals in Recognition of Complex Odors in Olfactory Cortex (2002) (1)
Towards a Very Fast Feedforward Multilayer Neural Networks Training Algorithm (2022) (1)
Artificial Intelligence and Soft Computing (2019) (1)
Accurate Predistorted Design of Single Op Amp Active Filters (1986) (1)
Adaptive Individualized Drug-Dose Response Modeling from a Limited Clinical Data: Case of Warfarin Management (2021) (1)
Artificial Intelligence and Soft Computing (2012) (1)
Artificial Intelligence and Soft Computing (2017) (1)
Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II (2010) (1)
President's welcome (2004) (0)
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II (2006) (0)
The Application of Neural Fuzzy Approaches to Modeling of Musculoskeletal Responses in Manual Lifting Tasks (2006) (0)
Diversity Regularized Adversarial Deep Learning (2019) (0)
Estimation of EMG Activity of Trunk Muscles in Manual Lifting Tasks Based on Trunk Dynamics Using the Fuzzy Relational Rule Network (2003) (0)
Reinforcement LearningApproach to Individualizatio n of Chronic Pharmacotherapy (2005) (0)
Learning in a Time-Varying Environment by Making Use of the Stochastic Approximation and Orthogonal Series-Type Kernel Probabilistic Neural Network (2011) (0)
Plenary talk 1: What authors should know to successfully publish papers in good journals (2017) (0)
Neural Network Based Classification of Bio Optical Signals for Detection of Cell Abnormalities of Human Skin (2020) (0)
A New Algorithm with a Line Search for Feedforward Neural Networks Training (2020) (0)
Erratum: Summing networks using neural optimisation concept (1988) (0)
Reduced perceptron networks and inverse modeling control (1996) (0)
Adaptive Prediction ofPatient Response toErythropoietin using Neural NetworkEnsemble (2007) (0)
Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II (2014) (0)
A Recurrent RBF NetworkModel forNearest NeighborClassification (2005) (0)
Analysis of Equilibria for a Class of Recurrent Neural Networks With Two Subnetworks (2020) (0)
From Chaos to Organization: Neurodynamics of 2D Active Medium (1998) (0)
An Innovative Approach to Modeling Aviation Safety Incidents (2022) (0)
IEEE Computational Intelligence Society President's Welcome (2005) (0)
Data Stream Models for Predicting Adverse Events in a War Theater (2019) (0)
Lung Segmentation Using Incremental Sparse NMF (2014) (0)
Author ' s personal copy Sentence recognition using artificial neural networks q (2008) (0)
Introduction to the Minitrack on Business Intelligence for Innovative, Collaborative and Sustainable Development of Organizations in Digital Era (2023) (0)
HieNet architecture using the K-Iterations Fast Learning artificial Neural Networks (2008) (0)
Extracting decision rules in prediction of protein secondary structure (2008) (0)
Workflow considerations in the emerging CI-ML virtual organization (2008) (0)
Neural Networks Modeling for Yield Enhancement in Semiconductor Manufacturing (1993) (0)
A pruning algorithm with relaxed conditions for high-order neural networks based on smoothing group L1/2 regularization and adaptive momentum (2022) (0)
Control-Relevant Adaptive Personalized Modeling From Limited Clinical Data for Precise Warfarin Management (2022) (0)
Book review (1997) (0)
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations (2019) (0)
Deep Learning in Predicting Real Estate Property Prices: A Comparative Study (2023) (0)
Dynamic complexity reduction of multilayer feedforward neural networks (1997) (0)
Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II (2020) (0)
Convergence Analysis of Continuous-Time Neural Networks (2006) (0)
Presenting the special issue on Soft Computing (1996) (0)
Structured Sparse Convolutional Autoencoder (2016) (0)
Minimal Training Set Size Estimation For Sampled-Data Function Encoding (2021) (0)
Extraction and selection of relevant information in proteomic mass spectra for biomarker identification (2005) (0)
Systolic Architectures for Soft Computing Algorithms (2003) (0)
Neural Network Modeling of Ultrasound Speckle A Technical Report (0)
Modeling of Spatial and Temporal Dynamics in Biological Olfactory Systems (2007) (0)
Computational Intelligence: Research Frontiers, IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures (2008) (0)
Differences in Input Space Stability Between Using the Inverted Output of Amplifier and Negative Conductance for Inhibitory Synapse (2007) (0)
Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers (2008) (0)
Cognitive Tutor: Custom-Tailored Pedagogical Approach (2022) (0)
Collaborative Web-based Workspaces for an Academic Department (2009) (0)
Future Challenges in Soft Computing: Theory? Computational Paradigms? Applications? (2002) (0)
Artificial intelligence and soft computing : 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, proceedings, part II (2018) (0)
IEEE - CIS (EXCOM and ADCOM) (2005) (0)
Artificial Intelligence and Soft Computing (2018) (0)
IEEE Computational Intelligence Society President's Welcome (2005) (0)
into Computational Framework to Improve Outcomes for Anemia Management (2007) (0)
The Fuzzified Quasi-perceptron in Decision Making Concerning Treatments in Necrotizing Fasciitis (2015) (0)
Artifical Intelligence and Soft Computing, 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part II (2010) (0)
Conference Organization (2018) (0)
Artificial Neural Systems : Architectures Learning and Applications (1991) (0)
Artificial Intelligence and Soft Computing (2015) (0)
Neural Network Models for Yield Enhancement in Semiconductor Manufacturing and Neural Networks for Inverse Parameter Modeling of IC Fabrications Stages. (1997) (0)
KNOWLEDGE DISCOVERY FROM CONTINUOUS DATA USING ARTIFICIAL NEURAL NETWORKS (2004) (0)
Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks (2012) (0)
Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing (2006) (0)
Towards Better Understanding of Data: Learning Latent Features Under Constraints (2015) (0)
Artificial Intelligence and Soft Computing (2013) (0)
2 Motivation for Web-based Repositories and Interactive Workspaces (2011) (0)
Artificial Intelligence and Soft Computing: 11th International Conference, ICAISA 2012, Zakopane, Poland, April 29 - 3 May, 2012, Proceedings, Part I (2012) (0)
Guest Editorial (2010) (0)
A Conjugate Gradient-Based Efficient Algorithm for Training Single-Hidden-Layer Neural Networks (2016) (0)
Artificial Intelligence and Soft Computing (2017) (0)
International Journal of Applied Computer Science Methods: Authors’ Instructions for the Preparation of the Submission Format of the Final Version of the Manuscript (2009) (0)
Evolutionary Optimization of Number of Gates in PLA Circuits Implemented in VLSI Circuits (2009) (0)
From the Special Issue Editors (2020) (0)
Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data (2018) (0)
Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I (2020) (0)
On Performance Measures of Artificial Neural Networks Trained by Structural Learning with Forgetting (1995) (0)
Adaptive Prediction of Patient Response to Erythropoietin using Neural Network Ensemble (2007) (0)
AD-A 282 793 Interim (0)
A Hybrid Connectionist for Multiple Regression (2003) (0)
Artificial Intelligence and Soft Computing (2018) (0)
Improving Prediction Models for Mass Assessment: A Data Stream Approach (2020) (0)
Automated Computational Intelligence and Machine Learning Advising in Healthcare (2009) (0)
Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations (2021) (0)
Searching and Reasoning with Distributed Resources in Computational Intelligence and Machine (2009) (0)
Newly elected AdCom Members-Class of 2010 [Society Briefs] (2008) (0)
On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise (2011) (0)

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