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ORCID21st ICAISC 2022: Zakopane, Poland - Part I
- Leszek Rutkowski
, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13588, Springer 2023, ISBN 978-3-031-23491-0
Neural Networks and Their Applications
- Jaroslaw Bilski, Bartosz Kowalczyk:
A Fast Learning Algorithm for the Multi-layer Neural Network. 3-15 - Jaroslaw Bilski, Bartosz Kowalczyk, Jacek Smolag:
A New Computational Approach to the Levenberg-Marquardt Learning Algorithm. 16-26 - Gregor Braun, Michel Brokamp, Christina Klüver:
Training Subjective Perception Biased Images of Vehicle Ambient Lights with Deep Belief Networks Using Backpropagation- and Enforcing-Rules Supervised. 27-38 - Sarah Hundschell, Manuel Weber, Peter Mandl:
An Empirical Study of Adversarial Domain Adaptation on Time Series Data. 39-50 - Antoni Jaszcz, Katarzyna Prokop, Dawid Polap, Gautam Srivastava, Jerry Chun-Wei Lin:
Human-AI Collaboration to Increase the Perception of VR. 51-60 - Damian Kisiel, Denise Gorse:
Portfolio Transformer for Attention-Based Asset Allocation. 61-71 - Mateusz Modrzejewski, Piotr Szachewicz, Przemyslaw Rokita:
Transfer Learning with Deep Neural Embeddings for Music Classification Tasks. 72-81 - Marek Pawlicki, Martin Zádník, Rafal Kozik, Michal Choras:
Analysis and Detection of DDoS Backscatter Using NetFlow Data, Hyperband-Optimised Deep Learning and Explainability Techniques. 82-92 - Jakub Silka, Michal Wieczorek, Martyna Kobielnik, Marcin Wozniak:
BiLSTM Deep Learning Model for Heart Problems Detection. 93-104 - Tomasz Zymkowski, Julian Szymanski, Andrzej Sobecki, Pawel Drozda, Konrad Szalapak, Kajetan Komar-Komarowski, Rafal Scherer:
Short Texts Representations for Legal Domain Classification. 105-114 - Hugo Tamoto, Rodrigo Colnago Contreras, Francisco Lledo dos Santos, Monique Simplicio Viana, Rafael dos Santos Gioria, Cleyton de Carvalho Carneiro:
Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models. 115-130 - Tran Kim Toai, Roman Senkerik, Ivan Zelinka, Adam Ulrich, Vo Thi Xuan Hanh, Vo Minh Huan:
ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction. 131-143 - Petra Vidnerová, Jan Kalina:
Multi-objective Bayesian Optimization for Neural Architecture Search. 144-153 - Thomas Villmann, Alexander Engelsberger:
Multilayer Perceptrons with Banach-Like Perceptrons Based on Semi-inner Products - About Approximation Completeness. 154-169
Fuzzy Systems and Their Applications
- Juan Luis Castro, Manuel Francisco:
Similarity Fuzzy Semantic Networks and Inference. An Application to Analysis of Radical Discourse in Twitter. 173-181 - Adam Kiersztyn, Krystyna Kiersztyn, Rafal Lopucki, Patrycja Jedrzejewska-Rzezak:
An Application of Information Granules to Detect Anomalies in COVID-19 Reports. 182-192 - Katarzyna Nieszporek, Giorgio De Magistris, Christian Napoli, Janusz T. Starczewski:
Type-2 Fuzzy Classifier with Smooth Type-Reduction. 193-202
Evolutionary Algorithms and Their Applications
- Krzysztof Cpalka, Krystian Lapa, Leszek Rutkowski:
A Multi-population-Based Algorithm with Different Ways of Subpopulations Cooperation. 205-218 - Ahmed Hassan, Nelishia Pillay:
Automated Design of Dynamic Heuristic Set Selection for Cross-Domain Selection Hyper-Heuristics. 219-229 - Jan Mycka, Adam Zychowski, Jacek Mandziuk:
Evolutionary Approach to Melodic Line Harmonization. 230-241 - Roland Olsson, Shubodha Acharya:
Using Automatic Programming to Improve Gradient Boosting for Classification. 242-253 - Krzysztof Wójcik:
Forced Movement Extensions of the Particle Swarm Optimizers with Inertia Weight. 254-264 - Mateusz Zaborski, Jacek Mandziuk:
LQ-R-SHADE: R-SHADE with Quadratic Surrogate Model. 265-276
Pattern Classification
- Nguyen Cong Phuong, Nguyen Tuan Ninh:
Overload Monitoring System Using Sound Analysis for Electrical Machines. 279-287 - Marcin Jasinski, Michal Wozniak:
Employing Convolutional Neural Networks for Continual Learning. 288-297 - Sean T. Miller, Curtis Busby-Earle:
Explaining Machine Learning Predictions in Botnet Detection. 298-309 - Wojciech Rafajlowicz, Ewaryst Rafajlowicz, Jedrzej Wieckowski:
Learning Functional Descriptors Based on the Bernstein Polynomials - Preliminary Studies. 310-321
Artificial Intelligence in Modeling and Simulation
- David Alaminos, M. Belén Salas:
Multiscale Multifractal Detrended Analysis of Speculative Attacks Dynamics in Cryptocurrencies. 325-339 - Son Thanh Cao, Le Quoc Anh, Hoang Huu Viet:
A Heuristic Repair Algorithm for the Hospitals/Residents Problem with Ties. 340-352 - Adam Kiersztyn, Krystyna Kiersztyn:
The Impact of Data Preprocessing on Prediction Effectiveness. 353-362 - Adam Krzyzak, Tomasz Galkowski, Marian Partyka:
Convergence of RBF Networks Regression Function Estimates and Classifiers. 363-376 - Cry Kuranga, Nelishia Pillay:
A Comparative Study of Genetic Programming Variants. 377-386 - Tomasz Machalewski, Mariusz Marek, Adrian Ochmann:
Optimization of Parameterized Behavior Trees in RTS Games. 387-398 - Artur Mikitiuk, Krzysztof Trojanowski, Jakub Grzeszczak:
Using Answer Set Programming to Improve Sensor Network Lifetime. 399-410 - Mohamed Azouz Mrad, Kristóf Csorba, Dorián László Galata, Zsombor Kristóf Nagy, Brigitta Nagy:
Spectroscopy-Based Prediction of In Vitro Dissolution Profile Using Random Decision Forests. 411-422 - Samer Nofal, Amani Abu Jabal, Abdullah Alfarrarjeh, Ismail Omar Hababeh:
Validation of Labelling Algorithms for Abstract Argumentation Frameworks: The Case of Listing Stable Extensions. 423-435
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