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ORCID17th ICAISC 2018: Zakopane, Poland
- Leszek Rutkowski
, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10841, Springer 2018, ISBN 978-3-319-91252-3
Neural Networks and Their Applications
- Andrzej Bielecki, Maciej Gierdziewicz, Piotr Kalita:
Three-Dimensional Model of Signal Processing in the Presynaptic Bouton of the Neuron. 3-14 - Jaroslaw Bilski, Bartosz Kowalczyk, Konrad Grzanek:
The Parallel Modification to the Levenberg-Marquardt Algorithm. 15-24 - Jinde Cao, Leszek Rutkowski:
On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data. 25-34 - Moses Ekpenyong, Imeh J. Umoren:
Modelling Speaker Variability Using Covariance Learning. 35-46 - Yuki Fujimoto, Toru Ohira:
A Neural Network Model with Bidirectional Whitening. 47-57 - Adomas Ivanovas, Armantas Ostreika, Rytis Maskeliunas, Robertas Damasevicius, Dawid Polap, Marcin Wozniak:
Block Matching Based Obstacle Avoidance for Unmanned Aerial Vehicle. 58-69 - Norbert Jankowski:
Prototype-Based Kernels for Extreme Learning Machines and Radial Basis Function Networks. 70-75 - Maciej Janowski, Adrian Horzyk:
Supervised Neural Network Learning with an Environment Adapted Supervision Based on Motivation Learning Factors. 76-87 - Jun Rokui:
Autoassociative Signature Authentication Based on Recurrent Neural Network. 88-96 - Kacper Kania, Urszula Markowska-Kaczmar:
American Sign Language Fingerspelling Recognition Using Wide Residual Networks. 97-107 - Janusz Kolbusz, Pawel Rózycki, Oleksandr Lysenko, Bogdan M. Wilamowski:
Neural Networks Saturation Reduction. 108-117 - Adam Krzyzak, Marian Partyka:
Learning and Convergence of the Normalized Radial Basis Functions Networks. 118-129 - Magdalena Laskowska, Lukasz Laskowski, Jerzy Jelonkiewicz, Henryk Piech, Zbigniew Filutowicz:
Porous Silica-Based Optoelectronic Elements as Interconnection Weights in Molecular Neural Networks. 130-135 - Amrutha Machireddy, Shayan Srinivasa Garani:
Data Dependent Adaptive Prediction and Classification of Video Sequences. 136-147 - Shamsul Masum, Ying Liu, John Chiverton:
Multi-step Time Series Forecasting of Electric Load Using Machine Learning Models. 148-159 - Yuta Nakaya, Yuko Osana:
Deep Q-Network Using Reward Distribution. 160-169 - Piotr Papiez, Adrian Horzyk:
Motivated Reinforcement Learning Using Self-Developed Knowledge in Autonomous Cognitive Agent. 170-182 - Jolanta Pozorska, Magdalena Scherer:
Company Bankruptcy Prediction with Neural Networks. 183-189 - Pawel Rózycki, Janusz Kolbusz, Oleksandr Lysenko, Bogdan M. Wilamowski:
Soft Patterns Reduction for RBF Network Performance Improvement. 190-200 - Fausto Sampaio, Elias Teodoro Silva Jr., Lucas Costa da Silva, Pedro Pedrosa Rebouças Filho:
An Embedded Classifier for Mobile Robot Localization Using Support Vector Machines and Gray-Level Co-occurrence Matrix. 201-213 - Seiya Satoh, Ryohei Nakano:
A New Method for Learning RBF Networks by Utilizing Singular Regions. 214-225 - Erik S. Skibinsky-Gitlin, Miquel L. Alomar, Christiam F. Frasser, Vincent Canals, Eugeni Isern, Miquel Roca, Josep L. Rosselló:
Cyclic Reservoir Computing with FPGA Devices for Efficient Channel Equalization. 226-234 - James Seale Smith, Bogdan M. Wilamowski:
Discrete Cosine Transform Spectral Pooling Layers for Convolutional Neural Networks. 235-246 - Ryszard Szupiluk, Pawel Rubach:
Extreme Value Model for Volatility Measure in Machine Learning Ensemble. 247-256 - Petra Vidnerová, Roman Neruda:
Deep Networks with RBF Layers to Prevent Adversarial Examples. 257-266 - Roman Zajdel, Maciej Kusy:
Application of Reinforcement Learning to Stacked Autoencoder Deep Network Architecture Optimization. 267-276
Evolutionary Algorithms and Their Applications
- Radhwan Al-Jawadi, Marcin Studniarski:
An Optimization Algorithm Based on Multi-Dynamic Schema of Chromosomes. 279-289 - Carlos Eduardo M. Barbosa, Germano C. Vasconcelos:
Eight Bio-inspired Algorithms Evaluated for Solving Optimization Problems. 290-301 - Carina M. Behr, Jacomine Grobler:
Robotic Flow Shop Scheduling with Parallel Machines and No-Wait Constraints in an Aluminium Anodising Plant with the CMAES Algorithm. 302-312 - Petr Bujok:
Migration Model of Adaptive Differential Evolution Applied to Real-World Problems. 313-322 - Diego L. Cavalca, Guilherme Spavieri, Ricardo A. S. Fernandes:
Comparative Analysis Between Particle Swarm Optimization Algorithms Applied to Price-Based Demand Response. 323-332 - Bayanda Chakuma, Mardé Helbig:
Visualizing the Optimization Process for Multi-objective Optimization Problems. 333-344 - Rohan Hemansu Chhipa, Mardé Helbig:
Comparison of Constraint Handling Approaches in Multi-objective Optimization. 345-362 - Daniel Fajardo-Delgado, María Guadalupe Sánchez, Raquel Ochoa-Ornelas, Ismael Edrein Espinosa-Curiel, Vicente Vidal:
Genetic Programming for the Classification of Levels of Mammographic Density. 363-375 - Matheus Gutoski, Manassés Ribeiro, Nelson Marcelo Romero Aquino, Leandro Takeshi F. Hattori, André Eugênio Lazzaretti, Heitor Silvério Lopes:
Feature Selection Using Differential Evolution for Unsupervised Image Clustering. 376-385 - Máté Hegyháti, Olivér Osz, Miklós F. Hatwágner:
A Study on Solving Single Stage Batch Process Scheduling Problems with an Evolutionary Algorithm Featuring Bacterial Mutations. 386-394 - Eric Holloway, Robert J. Marks II:
Observation of Unbounded Novelty in Evolutionary Algorithms is Unknowable. 395-404 - Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
Multi-swarm Optimization Algorithm Based on Firefly and Particle Swarm Optimization Techniques. 405-416 - Anezka Kazikova, Michal Pluhacek, Adam Viktorin, Roman Senkerik:
New Running Technique for the Bison Algorithm. 417-426 - Lumír Kojecký, Ivan Zelinka:
Evolutionary Design and Training of Artificial Neural Networks. 427-437 - Miroslaw Kordos, Marcin Wydrzynski, Krystian Lapa:
Obtaining Pareto Front in Instance Selection with Ensembles and Populations. 438-448 - Krystian Lapa, Krzysztof Cpalka, Andrzej Przybyl, Konrad Grzanek:
Negative Space-Based Population Initialization Algorithm (NSPIA). 449-461 - Armand Maree, Marius Riekert, Mardé Helbig:
Deriving Functions for Pareto Optimal Fronts Using Genetic Programming. 462-473 - Yann Maret, Daniel Oberson, Marina L. Gavrilova:
Identifying an Emotional State from Body Movements Using Genetic-Based Algorithms. 474-485 - Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
Particle Swarm Optimization with Single Particle Repulsivity for Multi-modal Optimization. 486-494 - Krzysztof Pytel:
Hybrid Evolutionary System to Solve Optimization Problems. 495-504 - Wojciech Rafajlowicz:
Horizontal Gene Transfer as a Method of Increasing Variability in Genetic Algorithms. 505-513 - Daniel Reska, Krzysztof Jurczuk, Marek Kretowski:
Evolutionary Induction of Classification Trees on Spark. 514-523 - Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Ivan Zelinka:
How Unconventional Chaotic Pseudo-Random Generators Influence Population Diversity in Differential Evolution. 524-535 - Guilherme Spavieri, Diego L. Cavalca, Ricardo A. S. Fernandes, Guilherme G. Lage:
An Adaptive Individual Inertia Weight Based on Best, Worst and Individual Particle Performances for the PSO Algorithm. 536-547 - Willian Tessaro Lunardi, Luiz Henrique Cherri, Holger Voos:
A Mathematical Model and a Firefly Algorithm for an Extended Flexible Job Shop Problem with Availability Constraints. 548-560 - Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy:
On the Prolonged Exploration of Distance Based Parameter Adaptation in SHADE. 561-571 - Hulda Viljoen, Jacomine Grobler:
Investigating the Impact of Road Roughness on Routing Performance: An Evolutionary Algorithm Approach. 572-582
Pattern Classification
- Robert Burduk:
Integration Base Classifiers in Geometry Space by Harmonic Mean. 585-592 - Pasi Fränti, Radu Mariescu-Istodor, Karol Waga:
Similarity of Mobile Users Based on Sparse Location History. 593-603 - Pasi Fränti, Jiawei Yang:
Medoid-Shift for Noise Removal to Improve Clustering. 604-614 - Marcin Gabryel, Robertas Damasevicius, Krzysztof Przybyszewski:
Application of the Bag-of-Words Algorithm in Classification the Quality of Sales Leads. 615-622 - Indrajit Ghosh:
Probabilistic Feature Selection in Machine Learning. 623-632 - Maciej Jankowski:
Boost Multi-class sLDA Model for Text Classification. 633-644 - Adam Kiersztyn, Pawel Karczmarek, Witold Pedrycz:
Multi-level Aggregation in Face Recognition. 645-656 - Falko Lischke, Thomas Neumann, Sven Hellbach, Thomas Villmann, Hans-Joachim Böhme:
Direct Incorporation of L_1 -Regularization into Generalized Matrix Learning Vector Quantization. 657-667 - Ewaryst Rafajlowicz:
Classifiers for Matrix Normal Images: Derivation and Testing. 668-679 - Sami Sieranoja, Pasi Fränti:
Random Projection for k-means Clustering. 680-689 - Kristina P. Sinaga, June-Nan Hsieh, Josephine Bernadette M. Benjamin, Miin-Shen Yang:
Modified Relational Mountain Clustering Method. 690-701 - Ewa Skubalska-Rafajlowicz:
Relative Stability of Random Projection-Based Image Classification. 702-713 - Joanna Strug, Barbara Strug:
Cost Reduction in Mutation Testing with Bytecode-Level Mutants Classification. 714-723 - Andrea Villmann, Marika Kaden, Sascha Saralajew, Thomas Villmann:
Probabilistic Learning Vector Quantization with Cross-Entropy for Probabilistic Class Assignments in Classification Learning. 724-735 - Thomas Villmann, Tina Geweniger:
Multi-class and Cluster Evaluation Measures Based on Rényi and Tsallis Entropies and Mutual Information. 736-749 - Lukasz Was, Piotr Milczarski, Zofia Stawska, Slawomir Wiak, Pawel Maslanka, Marek Kot:
Verification of Results in the Acquiring Knowledge Process Based on IBL Methodology. 750-760 - Michal R. Wróbel, Katarzyna Nieszporek, Janusz T. Starczewski, Andrzej Cader:
A Fuzzy Measure for Recognition of Handwritten Letter Strokes. 761-770
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