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ORCID22nd ICAISC 2023: Zakopane, Poland - Part II
- 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 II. Lecture Notes in Computer Science 14126, Springer 2023, ISBN 978-3-031-42507-3
Computer Vision, Image and Speech Analysis
- Andrea Alfarano, Giorgio De Magistris, Leonardo Mongelli, Samuele Russo, Janusz T. Starczewski, Christian Napoli:
A Novel ConvMixer Transformer Based Architecture for Violent Behavior Detection. 3-16 - Soundes Belkacem:
Speech Emotion Recognition: Recent Advances and Current Trends. 17-25 - Mykola Beshley, Pastukh Volodymyr, Halyna Beshley, Michal Gregus:
A Smartphone-Based Computer Vision Assistance System with Neural Network Depth Estimation for the Visually Impaired. 26-36 - Clopas Kwenda, Mandlenkosi Victor Gwetu, Jean Vincent Fonou Dombeu:
Hybrid Learning Model for Satellite Forest Image Segmentation. 37-47 - Walid Messaoud, Rim Trabelsi, Adnane Cabani, Fatma Abdelkefi:
Adaptive Pruning for Multi-Head Self-Attention. 48-57 - Patryk Najgebauer, Rafal Scherer, Rafal Grycuk, Jakub Walczak, Adam Wojciechowski, Ewa Lada-Tondyra:
Fast Visual Imperfection Detection when Real Negative Examples are Unavailable. 58-68 - Jan Rodziewicz-Bielewicz, Marcin Korzen:
Vision-Based Mobile Robots Control Along a Given Trajectory. 69-77 - Anagha Srinivasa, Anjali Praveen, Anusha Mavathur, Apurva Pothumarthi, Arti Arya, Pooja Agarwal:
Text Guided Facial Image Synthesis Using StyleGAN and Variational Autoencoder Trained CLIP. 78-90 - Benjamin Stecker, Hans Brandt-Pook:
Application of Object Detection Models for the Detection of Kitchen Furniture - A Comparison. 91-101 - Pham Son Tung, Thai Thanh Do, Pham Hong Giang, Phan Duy Hung:
Support Learning Vovinam Exercises Based on Computer Vision. 102-111 - Michal Wieczorek, Jakub Silka, Martyna Kobielnik, Marcin Wozniak:
Semantic Segmentation Neural Network in Automatic Weapon Detection. 112-120
Various Problems of Artificial Intelligence
- Adam Kiersztyn, Krystyna Kiersztyn, Grzegorz Panasiewicz, Martyna Bieniek-Kobuszewska:
An Application of Fuzzy Techniques to Predict the Polymorphism of Selected Microsatellite Sequences. 123-133 - Jacek Mandziuk, Patryk Walczak:
Monte Carlo Tree Search with Metaheuristics. 134-144 - Benjamin McConnell, Daniel Del Monaco, Mahdieh Zabihimayvan, Fatemeh Abdollahzadeh, Samir Hamada:
Phishing Attack Detection: An Improved Performance Through Ensemble Learning. 145-157 - Pradnya Sawant, Kavita V. Sonawane:
Removing Ambiguity in Natural Language for Generating Self-Join Queries. 158-169 - Magdalena Scherer:
Predicting Churn Rate in Companies. 170-175 - Ana Starcevic, Boris Vucinic, Ilona Karpiel:
Training Set Preparation for Deep Model Learning Inpatients with Ischemic Brain Lesions and Gender Identity Disorder. 176-191 - Tobias Weiss, Simon Reichhuber, Sven Tomforde:
From Simulated to Real Environments: Q-Learning for MAZE-Navigation of a TurtleBot. 192-203
Bioinformatics, Biometrics and Medical Applications
- Khadija Iddrisu, Sylwia Malec, Alessandro Crimi:
3D Reconstructions of Brain from MRI Scans Using Neural Radiance Fields. 207-218 - Karina Beatriz Jimenes Vargas, Yunierkis Pérez-Castillo, Eduardo Tejera, Cristian R. Munteanu:
Exploring Target Identification for Drug Design with K-Nearest Neighbors' Algorithm. 219-227 - Andrzej Kloczkowski, Juan Luis Fernández Martínez, Zulima Fernández-Muñiz:
Computational Models for COVID-19 Dynamics Prediction. 228-238 - Vasyl P. Marzeniuk, Aleksandra Klos-Witkowska, Andrii Semenets:
Electrochemical Biosensor Design Through Data-Driven Modeling Incorporating Meta-Analysis and Big Data Workflow. 239-250 - Mateusz Mastalerczyk, Tomasz Szczepanik, Marcin Zalasinski:
A New Method of Verification of Dynamic Signatures Changing over Time with Decomposition and Selection of Characteristic Descriptors. 251-257 - Szymon Mazurek, Rosmary Blanco, Joan Falcó-Roget, Jan K. Argasinski, Alessandro Crimi:
Impact of the Pre-processing and Balancing of EEG Data on the Performance of Graph Neural Network for Epileptic Seizure Classification. 258-268 - Piotr Pluta, Robert Cierniak:
A New Rebinning Reconstruction Method for the Low Dose CT Scanners with Flying Focal Spot. 269-278
Data Mining and Pattern Classification
- Mykola Beshley, Olena Hordiichuk-Bublivska, Halyna Beshley, Iryna Ivanochko:
Advancing Singular Value Decomposition Techniques for Enhanced Data Mining in Recommender Systems. 281-290 - Rodrigo Colnago Contreras, Monique Simplicio Viana, Rodrigo Capobianco Guido:
An Experimental Analysis on Mapping Strategies for Cepstral Coefficients Multi-projection in Voice Spoofing Detection Problem. 291-306 - Huynh Anh Duy, Huynh Anh Khoa, Phan Duy Hung:
Mining Correlated High-Utility Itemsets Using the Cosine Measure. 307-319 - Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila:
Bayesian Inference in Infinite Multivariate McDonald's Beta Mixture Model. 320-330 - Doaa Ibrahim, Diana Inkpen, Hussein Al Osman:
Cannabis Use Estimators Within Canadian Population Using Social Media Based on Deep Learning Tools. 331-342 - Jan Kalina, Barbora Pestová:
On the Bayesian Interpretation of Penalized Statistical Estimators. 343-352 - Firuz Kamalov, Hana Sulieman, Aswani Kumar Cherukuri:
Synthetic Data for Feature Selection. 353-365 - Szymon Niewiadomski, Grzegorz Mzyk:
ML Support for Conformity Checks in CMDB-Like Databases. 366-376 - Nguyen Bao Phuoc, Duong Thuy Trang, Phan Duy Hung:
An Improvement of Graph Neural Network for Multi-behavior Recommendation. 377-387 - Georges Spyrides, Marcus Poggi, Hélio Lopes:
Binary Matrix Factorization Discretization. 388-401 - Pawel Trajdos, Robert Burduk, Andrzej Kasprzak:
Combining Linear Classifiers Using Score Function Based on Distance to Decision Boundary. 402-411
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