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22nd ICAISC 2023: Zakopane, Poland - Part I
- Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18-22, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14125, Springer 2023, ISBN 978-3-031-42504-2
Neural Networks and Their Applications
- Jaroslaw Bilski, Bartosz Kowalczyk:
A Novel Approach to the GQR Algorithm for Neural Networks Training. 3-11 - Jaroslaw Bilski, Bartosz Kowalczyk, Jacek Smolag:
On Speeding up the Levenberg-Marquardt Learning Algorithm. 12-22 - Eric Chalmers, Artur Luczak:
Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes. 23-34 - Tizian Dagner, Rafael Parzeller, Selin Kesler:
Multi-Agent Deep Q-Network in Voxel-Based Automated Electrical Routing. 35-45 - Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski:
The Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approach. 46-55 - Tristan Falck, Duncan Coulter:
Training Neural Tensor Networks with Corrupted Relations. 56-67 - Lukasz Galka, Pawel Karczmarek, Dariusz Czerwinski:
Application of Monte Carlo Algorithms with Neural Network-Based Intermediate Area to the Thousand Card Game. 68-77 - Marcus Grum:
Learning Representations by Crystallized Back-Propagating Errors. 78-100 - Pei-Yi Hao:
Fuzzy Hyperplane Based K-SVCR Multi-class Classification with Its Applications to Stock Prediction Problem. 101-111 - Bogdan Kwolek, Shinji Sako:
Dynamic Hand Gesture Recognition for Human-Robot Collaborative Assembly. 112-121 - Michal Les, Michal Wozniak:
Transfer of Knowledge Among Instruments in Automatic Music Transcription. 122-133 - Mehrdad Mohannazadeh Bakhtiari, Andrea Villmann, Thomas Villmann:
The Geometry of Decision Borders Between Affine Space Prototypes for Nearest Prototype Classifiers. 134-144 - Mehrdad Mohannazadeh Bakhtiari, Thomas Villmann:
An Interpretable Two-Layered Neural Network Structure-Based on Component-Wise Reasoning. 145-156 - Mohamed Azouz Mrad, Kristóf Csorba, Dorián László Galata, Zsombor Kristóf Nagy, Hassan Charaf:
Viscosity Estimation of Water-PVP Solutions from Droplets Using Artificial Neural Networks and Image Processing. 157-166 - Bogdan Musat, Razvan Andonie:
Pruning Convolutional Filters via Reinforcement Learning with Entropy Minimization. 167-180 - Michal Perelkiewicz, Rafal Poswiata, Jakub Kierzkowski:
Unsupervised Representation Learning: Target Regularization for Cross-Domain Sentiment Classification. 181-192 - Dawid Polap, Katarzyna Prokop, Gautam Srivastava, Jerry Chun-Wei Lin:
Decentralized Federated Learning Loop with Constrained Trust Mechanism. 193-202 - Maghsood Salimi, Mohammad Loni, Marjan Sirjani:
Learning Activation Functions for Adversarial Attack Resilience in CNNs. 203-214 - Sergio Sanchez, Javier Machacuay, Mario Quinde:
Federated Learning for Human Activity Recognition on the MHealth Dataset. 215-225 - William S. M. Silva, Priscila T. M. Saito, Pedro Henrique Bugatti:
Image Classification Through Graph Neural Networks and Random Walks. 226-235 - Timo Stadler, Sandra Weikl, Simon Wein, Peter Georg, Andreas Schäfer, Jan Dünnweber:
Bus Route Classification for Rural Areas Using Graph Convolutional Networks. 236-250 - Roman Statkevych, Yuri G. Gordienko, Sergii G. Stirenko:
Expansion Rate Parametrization and K-Fold Based Inference with U-Net Neural Networks for Multiclass Medical Image Segmentation. 251-262 - Grzegorz Surówka:
Transfer Learning from ImageNet to the Domain of Pigmented Nevi. 263-273 - Adane Nega Tarekegn, Faouzi Alaya Cheikh, Muhammad Sajjad, Mohib Ullah:
Towards Detecting Freezing of Gait Events Using Wearable Sensors and Genetic Programming. 274-285 - Eder Urbinate, Fernando Itano, Emilio Del-Moral-Hernandez:
CNN-LSTM Optimized by Genetic Algorithm in Time Series Forecasting: An Automatic Method to Use Deep Learning. 286-295 - Tomasz Walkowiak:
Authorship Attribution of Literary Texts Using Named Entity Masking and MaxLogit-Based Sequence Classification for Varying Text Lengths. 296-303 - Ronalds Zakovskis, Andis Draguns, Eliza Gaile, Emils Ozolins, Karlis Freivalds:
Gates Are Not What You Need in RNNs. 304-324 - Michal Zebrowski, Jacek Komorowski:
Generating Image Captions in Polish Using Transformer Architecture. 325-336
Evolutionary Algorithms and Their Applications
- Thiago Giachetto de Araujo, Puca Huachi Vaz Penna, Marcone Jamilson Freitas Souza:
An Hybrid NSGA-II Algorithm for the Bi-objective Mobile Mammography Unit Routing Problem. 339-351 - Petr Bujok, Martin Lacko, Patrik Kolenovsky:
Controlled Refresh of the Population in Differential Evolution for Real-World Problems. 352-362 - Piotr Dziwiñski, Lukasz Bartczuk:
A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism. 363-374 - Juan Manuel García Sánchez, Xavier Vilasís-Cardona, Alvaro Garcia-Piquer, Alexandre Lerma Martín:
Data Mining Car Configurator Clickstream Data to Identify Potential Consumers: A Genetic Algorithm Approach. 375-384 - Daniel Kucharski, Krzysztof Cpalka:
Multi-population Algorithm Using Surrogate Models and Different Training Plans. 385-398 - Krystian Lapa:
Multi-population-based Algorithms with Different Migration Topologies and Their Improvement by Population Re-initialization. 399-414 - Hammed Adeleye Mojeed, Rafal Szlapczynski:
Machine Learning Assisted Interactive Multi-objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects. 415-426 - Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Seyedali Mirjalili, Filippo Sanfilippo:
Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems. 427-438 - Hugo Moreno, Pablo S. Naharro, Antonio LaTorre, José-María Peña:
Evolutionary-Based Generative Design for Electric Transmission Towers. 439-450 - Radka Poláková, Daniel Valenta:
Ehnanced Grey Wolf Optimizer. 451-460
Artificial Intelligence in Modeling and Simulation
- Aneta Poniszewska-Maranda, Radoslaw Grela, Natalia Kryvinska:
Security Intelligence for Real-Time Security Monitoring Software. 463-474 - Yang Chen, Dustin J. Kempton, Rafal A. Angryk:
Examining Effects of Class Imbalance on Conditional GAN Training. 475-486 - Heitor F. Ferreira, Claudiney R. Tinoco, Luiz G. A. Martins, Gina M. B. Oliveira:
Stochastic Model for Wildfire Simulation Based on the Characteristics of the Brazilian Cerrado. 487-496 - Jakub Grzeszczak, Krzysztof Trojanowski, Artur Mikitiuk:
Test Case Generator for Problems of Complete Coverage and Path Planning for Emergency Response by UAVs. 497-509 - Maciej Klimas, Dariusz Grabowski:
Application of Artificial Neural Networks in Electric Arc Furnace Modeling. 510-521 - Eliza Kocic, Marcin Gabryel, Milan Kocic:
Profiling of Webshop Users in Terms of Price Sensitivity. 522-529 - Adam Krzyzak, Wojciech Rafajlowicz, Ewaryst Rafajlowicz:
Learning Bezier-Durrmeyer Type Descriptors for Classifying Curves - Preliminary Studies. 530-541 - Jakub Morkowski:
Prediction Accuracy of Direction Changes with ELM, MLP and LSTM on the Example of Exchange Rates. 542-559 - M. K. Nallakaruppan, Gautam Srivastava, Thippa Reddy Gadekallu, M. Praveen Kumar Reddy, Sivarama Krishnan, Dawid Polap:
Child Tracking and Prediction of Violence on Children In Social Media Using Natural Language Processing and Machine Learning. 560-569 - Marcel Rojahn, Maximilian Ambros, Tibebu Biru, Hermann Krallmann, Norbert Gronau, Marcus Grum:
Adequate Basis for the Data-Driven and Machine-Learning-Based Identification. 570-588
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