Abstract is missing.
- Three-Dimensional Model of Signal Processing in the Presynaptic Bouton of the NeuronAndrzej Bielecki, Maciej Gierdziewicz, Piotr Kalita. 3-14 [doi]
- The Parallel Modification to the Levenberg-Marquardt AlgorithmJaroslaw Bilski, Bartosz Kowalczyk, Konrad Grzanek. 15-24 [doi]
- On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming DataJinde Cao, Leszek Rutkowski. 25-34 [doi]
- Modelling Speaker Variability Using Covariance LearningMoses Ekpenyong, Imeh J. Umoren. 35-46 [doi]
- A Neural Network Model with Bidirectional WhiteningYuki Fujimoto, Toru Ohira. 47-57 [doi]
- Block Matching Based Obstacle Avoidance for Unmanned Aerial VehicleAdomas Ivanovas, Armantas Ostreika, Rytis Maskeliunas, Robertas Damasevicius, Dawid Polap, Marcin Wozniak. 58-69 [doi]
- Prototype-Based Kernels for Extreme Learning Machines and Radial Basis Function NetworksNorbert Jankowski. 70-75 [doi]
- Supervised Neural Network Learning with an Environment Adapted Supervision Based on Motivation Learning FactorsMaciej Janowski, Adrian Horzyk. 76-87 [doi]
- Autoassociative Signature Authentication Based on Recurrent Neural NetworkJun Rokui. 88-96 [doi]
- American Sign Language Fingerspelling Recognition Using Wide Residual NetworksKacper Kania, Urszula Markowska-Kaczmar. 97-107 [doi]
- Neural Networks Saturation ReductionJanusz Kolbusz, Pawel Rózycki, Oleksandr Lysenko, Bogdan M. Wilamowski. 108-117 [doi]
- Learning and Convergence of the Normalized Radial Basis Functions NetworksAdam Krzyzak, Marian Partyka. 118-129 [doi]
- Porous Silica-Based Optoelectronic Elements as Interconnection Weights in Molecular Neural NetworksMagdalena Laskowska, Lukasz Laskowski, Jerzy Jelonkiewicz, Henryk Piech, Zbigniew Filutowicz. 130-135 [doi]
- Data Dependent Adaptive Prediction and Classification of Video SequencesAmrutha Machireddy, Shayan Srinivasa Garani. 136-147 [doi]
- Multi-step Time Series Forecasting of Electric Load Using Machine Learning ModelsShamsul Masum, Ying Liu, John Chiverton. 148-159 [doi]
- Deep Q-Network Using Reward DistributionYuta Nakaya, Yuko Osana. 160-169 [doi]
- Motivated Reinforcement Learning Using Self-Developed Knowledge in Autonomous Cognitive AgentPiotr Papiez, Adrian Horzyk. 170-182 [doi]
- Company Bankruptcy Prediction with Neural NetworksJolanta Pozorska, Magdalena Scherer. 183-189 [doi]
- Soft Patterns Reduction for RBF Network Performance ImprovementPawel Rózycki, Janusz Kolbusz, Oleksandr Lysenko, Bogdan M. Wilamowski. 190-200 [doi]
- An Embedded Classifier for Mobile Robot Localization Using Support Vector Machines and Gray-Level Co-occurrence MatrixFausto Sampaio, Elias Teodoro Silva Jr., Lucas C. da Silva, Pedro P. Rebouças Filho. 201-213 [doi]
- A New Method for Learning RBF Networks by Utilizing Singular RegionsSeiya Satoh, Ryohei Nakano. 214-225 [doi]
- Cyclic Reservoir Computing with FPGA Devices for Efficient Channel EqualizationErik S. Skibinsky-Gitlin, Miquel L. Alomar, Christiam F. Frasser, Vincent Canals, Eugeni Isern, Miquel Roca, Josep L. Rosselló. 226-234 [doi]
- Discrete Cosine Transform Spectral Pooling Layers for Convolutional Neural NetworksJames S. Smith, Bogdan M. Wilamowski. 235-246 [doi]
- Extreme Value Model for Volatility Measure in Machine Learning EnsembleRyszard Szupiluk, Pawel Rubach. 247-256 [doi]
- Deep Networks with RBF Layers to Prevent Adversarial ExamplesPetra Vidnerová, Roman Neruda. 257-266 [doi]
- Application of Reinforcement Learning to Stacked Autoencoder Deep Network Architecture OptimizationRoman Zajdel, Maciej Kusy. 267-276 [doi]
- An Optimization Algorithm Based on Multi-Dynamic Schema of ChromosomesRadhwan Al-Jawadi, Marcin Studniarski. 279-289 [doi]
- Eight Bio-inspired Algorithms Evaluated for Solving Optimization ProblemsCarlos Eduardo M. Barbosa, Germano C. Vasconcelos. 290-301 [doi]
- Robotic Flow Shop Scheduling with Parallel Machines and No-Wait Constraints in an Aluminium Anodising Plant with the CMAES AlgorithmCarina M. Behr, Jacomine Grobler. 302-312 [doi]
- Migration Model of Adaptive Differential Evolution Applied to Real-World ProblemsPetr Bujok. 313-322 [doi]
- Comparative Analysis Between Particle Swarm Optimization Algorithms Applied to Price-Based Demand ResponseDiego L. Cavalca, Guilherme Spavieri, Ricardo A. S. Fernandes. 323-332 [doi]
- Visualizing the Optimization Process for Multi-objective Optimization ProblemsBayanda Chakuma, Mardé Helbig. 333-344 [doi]
- Comparison of Constraint Handling Approaches in Multi-objective OptimizationRohan Hemansu Chhipa, Mardé Helbig. 345-362 [doi]
- Genetic Programming for the Classification of Levels of Mammographic DensityDaniel Fajardo-Delgado, María Guadalupe Sánchez, Raquel Ochoa-Ornelas, Ismael Edrein Espinosa-Curiel, Vicente Vidal. 363-375 [doi]
- Feature Selection Using Differential Evolution for Unsupervised Image ClusteringMatheus Gutoski, Manassés Ribeiro, Nelson Marcelo Romero Aquino, Leandro Takeshi F. Hattori, André Eugênio Lazzaretti, Heitor Silvério Lopes. 376-385 [doi]
- A Study on Solving Single Stage Batch Process Scheduling Problems with an Evolutionary Algorithm Featuring Bacterial MutationsMáté Hegyháti, Olivér Osz, Miklós F. Hatwágner. 386-394 [doi]
- Observation of Unbounded Novelty in Evolutionary Algorithms is UnknowableEric Holloway, Robert J. Marks II. 395-404 [doi]
- Multi-swarm Optimization Algorithm Based on Firefly and Particle Swarm Optimization TechniquesTomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik. 405-416 [doi]
- New Running Technique for the Bison AlgorithmAnezka Kazikova, Michal Pluhacek, Adam Viktorin, Roman Senkerik. 417-426 [doi]
- Evolutionary Design and Training of Artificial Neural NetworksLumír Kojecký, Ivan Zelinka. 427-437 [doi]
- Obtaining Pareto Front in Instance Selection with Ensembles and PopulationsMiroslaw Kordos, Marcin Wydrzynski, Krystian Lapa. 438-448 [doi]
- Negative Space-Based Population Initialization Algorithm (NSPIA)Krystian Lapa, Krzysztof Cpalka, Andrzej Przybyl, Konrad Grzanek. 449-461 [doi]
- Deriving Functions for Pareto Optimal Fronts Using Genetic ProgrammingArmand Maree, Marius Riekert, Mardé Helbig. 462-473 [doi]
- Identifying an Emotional State from Body Movements Using Genetic-Based AlgorithmsYann Maret, Daniel Oberson, Marina Gavrilova. 474-485 [doi]
- Particle Swarm Optimization with Single Particle Repulsivity for Multi-modal OptimizationMichal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy. 486-494 [doi]
- Hybrid Evolutionary System to Solve Optimization ProblemsKrzysztof Pytel. 495-504 [doi]
- Horizontal Gene Transfer as a Method of Increasing Variability in Genetic AlgorithmsWojciech Rafajlowicz. 505-513 [doi]
- Evolutionary Induction of Classification Trees on SparkDaniel Reska, Krzysztof Jurczuk, Marek Kretowski. 514-523 [doi]
- How Unconventional Chaotic Pseudo-Random Generators Influence Population Diversity in Differential EvolutionRoman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Ivan Zelinka. 524-535 [doi]
- An Adaptive Individual Inertia Weight Based on Best, Worst and Individual Particle Performances for the PSO AlgorithmGuilherme Spavieri, Diego L. Cavalca, Ricardo A. S. Fernandes, Guilherme G. Lage. 536-547 [doi]
- A Mathematical Model and a Firefly Algorithm for an Extended Flexible Job Shop Problem with Availability ConstraintsWillian Tessaro Lunardi, Luiz Henrique Cherri, Holger Voos. 548-560 [doi]
- On the Prolonged Exploration of Distance Based Parameter Adaptation in SHADEAdam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy. 561-571 [doi]
- Investigating the Impact of Road Roughness on Routing Performance: An Evolutionary Algorithm ApproachHulda Viljoen, Jacomine Grobler. 572-582 [doi]
- Integration Base Classifiers in Geometry Space by Harmonic MeanRobert Burduk. 585-592 [doi]
- Similarity of Mobile Users Based on Sparse Location HistoryPasi Fränti, Radu Mariescu-Istodor, Karol Waga. 593-603 [doi]
- Medoid-Shift for Noise Removal to Improve ClusteringPasi Fränti, Jiawei Yang. 604-614 [doi]
- Application of the Bag-of-Words Algorithm in Classification the Quality of Sales LeadsMarcin Gabryel, Robertas Damasevicius, Krzysztof Przybyszewski. 615-622 [doi]
- Probabilistic Feature Selection in Machine LearningIndrajit Ghosh. 623-632 [doi]
- Boost Multi-class sLDA Model for Text ClassificationMaciej Jankowski. 633-644 [doi]
- Multi-level Aggregation in Face RecognitionAdam Kiersztyn, Pawel Karczmarek, Witold Pedrycz. 645-656 [doi]
- Direct Incorporation of L_1 -Regularization into Generalized Matrix Learning Vector QuantizationFalko Lischke, Thomas Neumann 0007, Sven Hellbach, Thomas Villmann, Hans-Joachim Böhme. 657-667 [doi]
- Classifiers for Matrix Normal Images: Derivation and TestingEwaryst Rafajlowicz. 668-679 [doi]
- Random Projection for k-means ClusteringSami Sieranoja, Pasi Fränti. 680-689 [doi]
- Modified Relational Mountain Clustering MethodKristina P. Sinaga, June-Nan Hsieh, Josephine B. M. Benjamin, Miin-Shen Yang. 690-701 [doi]
- Relative Stability of Random Projection-Based Image ClassificationEwa Skubalska-Rafajlowicz. 702-713 [doi]
- Cost Reduction in Mutation Testing with Bytecode-Level Mutants ClassificationJoanna Strug, Barbara Strug. 714-723 [doi]
- Probabilistic Learning Vector Quantization with Cross-Entropy for Probabilistic Class Assignments in Classification LearningAndrea Villmann, Marika Kaden, Sascha Saralajew, Thomas Villmann. 724-735 [doi]
- Multi-class and Cluster Evaluation Measures Based on Rényi and Tsallis Entropies and Mutual InformationThomas Villmann, Tina Geweniger. 736-749 [doi]
- Verification of Results in the Acquiring Knowledge Process Based on IBL MethodologyLukasz Was, Piotr Milczarski, Zofia Stawska, Slawomir Wiak, Pawel Maslanka, Marek Kot. 750-760 [doi]
- A Fuzzy Measure for Recognition of Handwritten Letter StrokesMichal Wróbel, Katarzyna Nieszporek, Janusz T. Starczewski, Andrzej Cader. 761-770 [doi]