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19th ICAISC 2020: Zakopane, Poland - Part I
- Leszek Rutkowski
, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz
Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12415, Springer 2020, ISBN 978-3-030-61400-3
Neural Networks and Their Applications
- Michal Banach
A Synergy of Freezing and Dropout - A New Learning Strategy of Convolutional Networks. 3-14 - Jaroslaw Bilski
A New Algorithm with a Line Search for Feedforward Neural Networks Training. 15-26 - Jaroslaw Bilski
Fast Conjugate Gradient Algorithm for Feedforward Neural Networks. 27-38 - Konrad A. Ciecierski
Comparison of Text Classification Methods for Government Documents. 39-49 - Luigi Freitas Cruz
DeepCloud: An Investigation of Geostationary Satellite Imagery Frame Interpolation for Improved Temporal Resolution. 50-59 - Grzegorz Dudek
Are Direct Links Necessary in Random Vector Functional Link Networks for Regression? 60-70 - Ewa Fraczek
Artificial Intelligent Methods for the Location of Vortex Points. 71-77 - Piotr Fröhlich
Optimal Fog Services Placement in SDN IoT Network Using Random Neural Networks and Cognitive Network Map. 78-89 - Said Gadri, Erich J. Neuhold:
Building Best Predictive Models Using ML and DL Approaches to Categorize Fashion Clothes. 90-102 - Anton I. Glushchenko
Method of Real Time Calculation of Learning Rate Value to Improve Convergence of Neural Network Training. 103-113 - Xuanlin He, Jie Yang, Nikola K. Kasabov
Application of an Improved Focal Loss in Vehicle Detection. 114-123 - Maciej Jaworski
Concept Drift Detection Using Autoencoders in Data Streams Processing. 124-133 - Zuzanna Klawikowska
Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks. 134-146 - Lumír Kojecký, Ivan Zelinka
On the Similarity Between Neural Network and Evolutionary Algorithm. 147-158 - László Tóth, Amin Honarmandi Shandiz
3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces. 159-169 - Ye-Sheen Lim, Denise Gorse:
Deep Recurrent Modelling of Stationary Bitcoin Price Formation Using the Order Flow. 170-179 - Vladyslav Lopatin, Bogdan Kwolek
6D Pose Estimation of Texture-Less Objects on RGB Images Using CNNs. 180-192 - Mateusz Modrzejewski
Application of Neural Networks and Graphical Representations for Musical Genre Classification. 193-202 - Pornntiwa Pawara
Deep Learning with Data Augmentation for Fruit Counting. 203-214 - Bartosz Puchalski
Approximation of Fractional Order Dynamic Systems Using Elman, GRU and LSTM Neural Networks. 215-230 - Mateus Roder
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks. 231-241 - Mateus Roder
Intestinal Parasites Classification Using Deep Belief Networks. 242-251 - Mayank Tripathi, Divyanshu Singh, Seba Susan
Speaker Recognition Using SincNet and X-Vector Fusion. 252-260 - Petra Vidnerová
Multiobjective Evolution for Convolutional Neural Network Architecture Search. 261-270 - Izajasz P. Wrosz
Neural Network Subgraphs Correlation with Trained Model Accuracy. 271-279 - Roman Zajdel
Weighted Feature Selection Method for Improving Decisions in Milling Process Diagnosis. 280-291 - Maciej Zamorski, Maciej Zieba
Generative Modeling in Application to Point Cloud Completion. 292-302
Fuzzy Systems and Their Applications
- Ludmila Dymova:
A Numerical Solution of Fully Fuzzy Distribution Problem. 305-314 - Lukasz Bartczuk, Piotr Dziwiñski, Piotr Goetzen
Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm. 315-325 - Anton Romanov
Application of Time Series Analysis and Forecasting Methods for Enterprise Decision-Management. 326-337 - Danuta Rutkowska, Damian Kurach, Elisabeth Rakus-Andersson:
Face Recognition with Explanation by Fuzzy Rules and Linguistic Description. 338-350 - Pavel V. Sevastjanov:
Redefinition of Intuitionistic Fuzzy TOPSIS Method in the Framework of Evidence Theory. 351-360
Evolutionary Algorithms and Their Applications
- Petr Bujok
On the Performance and Complexity of Crossover in Differential Evolution Algorithm. 363-375 - Quoc Bao Diep
Obstacle Avoidance for Drones Based on the Self-Organizing Migrating Algorithm. 376-386 - Leonardo Ramos Emmendorfer
An Empirical Evaluation of Global Fitness Surrogate Models in Evolutionary Computation. 387-396 - Iwona Grabska-Gradzinska
Automatic Story Generation Based on Graph Model Using Godot Engine. 397-405 - Anezka Kazikova
Cascade PID Controller Optimization Using Bison Algorithm. 406-416 - Daniel Kostrzewa
Optimization of the Values of Classifiers Parameters - Is it Still Worthwhile to Deal with it? 417-428 - Krystian Lapa
A Population-Based Method with Selection of a Search Operator. 429-444 - Wojciech Rafajlowicz
A Markov Process Approach to Redundancy in Genetic Algorithms. 445-453 - Adam Slowik
Fuzzy Control of Exploration and Exploitation Trade-Off with On-Line Convergence Rate Estimation in Evolutionary Algorithms. 454-463 - Monique Simplicio Viana
An Improved Local Search Genetic Algorithm with Multi-crossover for Job Shop Scheduling Problem. 464-479 - Marcin Zalasinski
Signature Partitioning Using Selected Population-Based Algorithms. 480-488
Pattern Classification
- Abdulrahman Aloyayri
Breast Cancer Classification from Histopathological Images Using Transfer Learning and Deep Neural Networks. 491-502 - Lukasz Culer
Visualization of Membership Distribution in Strings Using Heat Maps. 503-513 - Moritz Heusinger, Frank-Michael Schleif:
Random Projection in the Presence of Concept Drift in Supervised Environments. 514-524 - Raul de Araújo Lima
Brazilian Lyrics-Based Music Genre Classification Using a BLSTM Network. 525-534 - Thiago José Lucas, Carlos Alexandre Carvalho Tojeiro, Rafael Goncalves Pires, Kelton Augusto Pontara da Costa, João Paulo Papa:
Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI. 535-546 - Seyedfakhredin Musavishavazi
A Mathematical Model for Optimum Error-Reject Trade-Off for Learning of Secure Classification Models in the Presence of Label Noise During Training. 547-554 - Artur Starczewski, Andrzej Cader
Grid-Based Approach to Determining Parameters of the DBSCAN Algorithm. 555-565 - Krzysztof Wójcik
Particle Classification Based on Movement Behavior in IPSO Stochastic Model. 566-575 - Pawel Zyblewski
Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification. 576-585
Bioinformatics, Biometrics and Medical Applications
- Óscar Álvarez-Machancoses
The Utilization of Different Classifiers to Perform Drug Repositioning in Inclusion Body Myositis Supports the Concept of Biological Invariance. 589-598 - Sooah Cho, Su Jeong Song, Joonseok Lee, JiEun Song, Min Soo Kim, Minyoung Lee, Joonho Lee:
Predicting Coronary Artery Calcium Score from Retinal Fundus Photographs Using Convolutional Neural Networks. 599-612 - Maciej Gierdziewicz
Mesh Geometric Parameters for Modeling Signal Transmission in the Presynaptic Bouton. 613-625 - Tomasz K. Konopczynski, Ron Heiman, Piotr Woznicki, Pawel Gniewek
Instance Segmentation of Densely Packed Cells Using a Hybrid Model of U-Net and Mask R-CNN. 626-635 - Piotr Milczarski
Blue-White Veil Classification in Dermoscopy Images of the Skin Lesions Using Convolutional Neural Networks. 636-645 - Marek Palkowski
Automatic Generation of Parallel Cache-Efficient Code Implementing Zuker's RNA Folding. 646-654
Artificial Intelligence in Modeling and Simulation
- Piotr Borkowski
Semantic Classifier Approach to Document Classification. 657-667 - Katarzyna Grzesiak-Kopec
A Parallel and Distributed Topological Approach to 3D IC Optimal Layout Design. 668-678 - Fakhra Jabeen
From Victim to Survivor: A Multilayered Adaptive Mental Network Model of a Bully Victim. 679-689 - Muzi Liu, Ho-fung Leung, Jianye Hao:
Faster Convention Emergence by Avoiding Local Conventions in Reinforcement Social Learning. 690-701 - Olusola Oluwakemi Abayomi-Alli
Empirical Mode Decomposition Based Data Augmentation for Time Series Prediction Using NARX Network. 702-711 - Pawel Pelka
Ensemble Forecasting of Monthly Electricity Demand Using Pattern Similarity-Based Methods. 712-723
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