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20th ICAISC 2021: Virtual Event - Part I
- Leszek Rutkowski
, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz
Artificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12854, Springer 2021, ISBN 978-3-030-87985-3
Neural Networks and Their Applications
- Rasha Abdel Kawy
Financial Portfolio Construction for Quantitative Trading Using Deep Learning Technique. 3-14 - David Alaminos
Factor Augmented Artificial Neural Network vs Deep Learning for Forecasting Global Liquidity Dynamics. 15-28 - Florian Bacho, Dominique F. Chu:
Integrate-and-Fire Neurons for Low-Powered Pattern Recognition. 29-40 - Jaroslaw Bilski
A New Variant of the GQR Algorithm for Feedforward Neural Networks Training. 41-53 - Jaroslaw Bilski
Modification of Learning Feedforward Neural Networks with the BP Method. 54-65 - Grzegorz Dudek
Data-Driven Learning of Feedforward Neural Networks with Different Activation Functions. 66-77 - Mateusz Heesch, Krzysztof Mendrok
Time-Domain Signal Synthesis with Style-Based Generative Adversarial Networks Applied to Guided Waves. 78-88 - Jan Kalina
A Comparison of Trend Estimators Under Heteroscedasticity. 89-98 - Jongmin Lim
Canine Behavior Interpretation Framework Using Deep Graph Model. 99-110 - Joan Meseguer Llopis, Salvador Furio Prunonosa, Miguel Llop Chabrera, Francisco J. Cubas Rodriguez:
Artificial Neural Network Based Empty Container Fleet Forecast. 111-123 - Mateusz Modrzejewski, Konrad Bereda, Przemyslaw Rokita:
Efficient Recurrent Neural Network Architecture for Musical Style Transfer. 124-132 - Jakub Morkowski
Impact of ELM Parameters and Investment Horizon for Currency Exchange Prediction. 133-144 - Mohamed Azouz Mrad
Spectroscopy-Based Prediction of In Vitro Dissolution Profile Using Artificial Neural Networks. 145-155 - Seyedfakhredin Musavishavazi
Possibilistic Classification Learning Based on Contrastive Loss in Learning Vector Quantizer Networks. 156-167 - Deepak Nagaraj, Pramod Vadiraja, Oliver Nalbach, Dirk Werth:
Convolutional Autoencoder Based Textile Defect Detection Under Unconstrained Setting. 168-181 - Dominik Olszewski:
Clustering-Based Adaptive Self-Organizing Map. 182-192 - Aleksey Osipov
Applying Machine Learning Techniques to Identify Damaged Potatoes. 193-201 - Nelishia Pillay, Mia Gerber, Katerina Holan, Steven A. Whitham, Dave K. Berger:
Quantifying the Severity of Common Rust in Maize Using Mask R-CNN. 202-213 - Dawid Polap
Federated Learning Model with Augmentation and Samples Exchange Mechanism. 214-223 - Alexandra Rak, Alexey Skrynnik, Aleksandr I. Panov:
Flexible Data Augmentation in Off-Policy Reinforcement Learning. 224-235 - Toni Schneidereit
Polynomial Neural Forms Using Feedforward Neural Networks for Solving Differential Equations. 236-245 - Thomas Villmann, Alexander Engelsberger
Quantum-Hybrid Neural Vector Quantization - A Mathematical Approach. 246-257 - Jimmy Ming-Tai Wu, Zhongcui Li, Youcef Djenouri, Dawid Polap
A Graphic CNN-LSTM Model for Stock Price Predication. 258-268 - Ekaterina Zolotareva
Applying Convolutional Neural Networks for Stock Market Trends Identification. 269-282
Fuzzy Systems and Their Applications
- Amanda O. C. Ayres, Fernando J. Von Zuben:
The Extreme Value Evolving Predictor in Multiple Time Series Learning. 285-295 - Yang Chen, Dustin J. Kempton
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting. 296-307 - Piotr Duda
The Streaming Approach to Training Restricted Boltzmann Machines. 308-317 - Tomasz Galkowski, Adam Krzyzak:
Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates. 318-327 - Jakub Górski
Recommendation System for Signal Processing in SHM. 328-337 - Maciej Jaworski
Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines. 338-346 - Lizandro de Souza Oliveira
A Proposal for Hybrid Memories Management Exploring Fuzzy-Based Page Migration Policy. 347-357 - Artur Starczewski:
A Novel Approach to Determining the Radius of the Neighborhood Required for the DBSCAN Algorithm. 358-368
Evolutionary Algorithms and Their Applications
- Jakub Gasior
A Learning Automata-Based Approach to Lifetime Optimization in Wireless Sensor Networks. 371-380 - Noel Hendrick, Vicenç Torra
Genetic Algorithms in Data Masking: Towards Privacy as a Service. 381-391 - Carine Khalil, Wahabou Abdou:
Transmission of Genetic Properties in Permutation Problems: Study of Lehmer Code and Inversion Table Encoding. 392-401 - Krystian Lapa
Population Management Approaches in the OPn Algorithm. 402-414 - Petr Bujok
Harris Hawks Optimisation: Using of an Archive. 415-423 - Krzysztof Pytel
Multiobjective Evolutionary Algorithm for Classifying Cosmic Particles. 424-433 - Monique Simplicio Viana
A New Genetic Improvement Operator Based on Frequency Analysis for Genetic Algorithms Applied to Job Shop Scheduling Problem. 434-450
Artificial Intelligence in Modeling and Simulation
- Bartlomiej Kizielewicz
Decision-Making Problems with Local Extremes: Comparative Study Case. 453-462 - Ahmet Köse
Intelligent Virtual Environments with Assessment of User Experiences. 463-474 - Wojciech Rafajlowicz
Intelligent Performance Prediction for Powerlifting. 475-484 - Wojciech Rafajlowicz
Learning Shape Sensitive Descriptors for Classifying Functional Data. 485-495 - Anton Romanov
An Approach to Contextual Time Series Analysis. 496-505 - Akira Tsurushima
Simulation Analysis of Tunnel Vision Effect in Crowd Evacuation. 506-518
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