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ORCIDJournal of Artificial Intelligence and Soft Computing Research, Volume 13
Volume 13, Number 1, January 2023
- Cheong Hee Park
:
A Comparative Study for Outlier Detection Methods in High Dimensional Text Data. 5-17 - Ivan Laktionov, Oleksandr Vovna, Maryna Kabanets:
Information Technology for Comprehensive Monitoring and Control of the Microclimate in Industrial Greenhouses Based on Fuzzy Logic. 19-35 - Mehdi Hosseinzadeh Aghdam:
Automatic Extractive and Generic Document Summarization Based on NMF. 37-49 - Dinesh Kumar, Dharmendra Sharma:
Feature Map Augmentation to Improve Scale Invariance in Convolutional Neural Networks. 51-74 - Dominik Lewy, Jacek Mandziuk:
Training CNN Classifiers Solely on Webly Data. 75-92
Volume 13, Number 2, March 2023
- Jaroslaw Bilski, Jacek Smolag, Bartosz Kowalczyk, Konrad Grzanek, Ivan Izonin:
Fast Computational Approach to the Levenberg-Marquardt Algorithm for Training Feedforward Neural Networks. 45-61 - Piotr Woldan, Piotr Duda, Andrzej Cader, Ivan Laktionov:
A New Approach to Image-Based Recommender Systems with the Application of Heatmaps Maps. 63-72 - Justyna Pawlowska, Klara Rydzewska, Adam Wierzbicki:
Using Cognitive Models to Understand and Counteract the Effect of Self-Induced Bias on Recommendation Algorithms. 73-94 - Tomasz Szmuc, Rafal Mrówka, Marek Branka, Jakub Ficon, Piotr Pieta:
A Novel Method for Fast Generation of 3D Objects from Multiple Depth Sensors. 95-105 - Tomasz Praczyk:
Emerging Modularity During the Evolution of Neural Networks. 107-126
Volume 13, Number 3, June 2023
- Fuyun Jia, Sheng Luo, Guan Yin, Yin Ye:
A Novel Variant of the Salp Swarm Algorithm for Engineering Optimization. 131-149 - Chih-Yang Lin, Han-Yi Huang, Wei-Yang Lin, Hui-Fuang Ng, Kahlil Muchtar, Nadhila Nurdin:
Moving Object Detection for Complex Scenes by Merging BG Modeling and Deep Learning Method. 151-163 - Hai Van Pham, Pham Van Duong, Dinh Tuan Tran, Joo-Ho Lee:
A Novel Approach of Voterank-Based Knowledge Graph for Improvement of Multi-Attributes Influence Nodes on Social Networks. 165-180 - Junming Zhang, Ruxian Yao, Jinfeng Gao, Gangqiang Li, Haitao Wu:
A Novel Method for Automatic Detection of Arrhythmias Using the Unsupervised Convolutional Neural Network. 181-196 - Tacjana Niksa-Rynkiewicz, Piotr Stomma, Anna Witkowska, Danuta Rutkowska, Adam Slowik, Krzysztof Cpalka, Joanna Jaworek-Korjakowska, Piotr Kolendo:
An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks. 197-210
Volume 13, Number 4, October 2023
- Youn Kyu Lee, Seong Hee Park, Min Young Lim, Soo-Hyun Lee, Jongwook Jeong:
Towards Ensuring Software Interoperability Between Deep Learning Frameworks. 215-228 - Meng Huang, Tao Li, Beibei Li, Nian Zhang, Hanyuan Huang:
Fast Attack Detection Method for Imbalanced Data in Industrial Cyber-Physical Systems. 229-245 - Ivan Laktionov, Grygorii Diachenko, Danuta Rutkowska, Marek Kisiel-Dorohinicki:
An Explainable AI Approach to Agrotechnical Monitoring and Crop Diseases Prediction in Dnipro Region of Ukraine. 247-272 - José Luis Pérez, Javier Corrochano, Javier García, Rubén Majadas, Cristina Ibáñez-Llano, Sergio Pérez, Fernando Fernández:
Discrete Uncertainty Quantification For Offline Reinforcement Learning. 273-287 - Krystian Lapa, Danuta Rutkowska, Aleksander Byrski, Christian Napoli:
A New Approach to Detecting and Preventing Populations Stagnation Through Dynamic Changes in Multi-Population-Based Algorithms. 289-306
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