| 2023 | Deep Learning Recommendation System for Stock Market Investments. | Michal Parzyszek, Stanislaw Osowski |
| 2023 | Chemistry-Wise Augmentations for Molecule Graph Self-supervised Representation Learning. | Evgeniia Ondar, Ilya Makarov |
| 2023 | Iterative Graph Embedding and Clustering. | Artem Oborevich, Ilya Makarov |
| 2023 | Data Analysis and Generation in the ENVELLINT Longitudinal Study to Determine Loss of Functionality in Elderly People. | John Nelson, Jordi Oll, Xavier Parra, Carlos Prez-Lpez, Oscar Macho-Prez, Marta Arroyo-Huidobro, Andreu Catal |
| 2023 | Long-Term Hail Risk Assessment with Deep Neural Networks. | Mikhail Mozikov, Ivan Lukyanenko, Ilya Makarov, Alexander Bulkin, Yury Maximov |
| 2023 | Unsupervised Clustering at the Service of Automatic Anomaly Detection in Industry 4.0. | Dylan Molini, Kurosh Madani, Vronique Amarger |
| 2023 | SlideGCN: Slightly Deep Graph Convolutional Network for Multilingual Sentiment Analysis. | El Mahdi Mercha, Houda Benbrahim, Mohammed Erradi |
| 2023 | Random Forests Model for HVAC System Fault Detection in Hotel Buildings. | Iva Matetic, Ivan Stajduhar, Igor Wolf, Darko Palaic, Sandi Ljubic |
| 2023 | Toward Early Stopping Detection for Non-binary c-VEP-Based BCIs: A Pilot Study. | Vctor Martnez-Cagigal, Eduardo Santamara-Vzquez, Roberto Hornero |
| 2023 | Denoising Low-Dose CT Images Using Noise2Noise and Evaluation of Hyperparameters. | Or Man, Miri Weiss-Cohen |
| 2023 | A Deep Neural Network for G-Quadruplexes Binding Proteins Classification. | Francesco Di Luzio, Alessandro Paiardini, Federica Colonnese, Antonello Rosato, Massimo Panella |
| 2023 | Comparison of ANN and SVR for State of Charge Regression Evaluating EIS Spectra. | Andre Loechte, Jan-Ole Thranow, Felix Winters, Andreas Heller, Peter Glsektter |
| 2023 | Driver's Condition Detection System Using Multimodal Imaging and Machine Learning Algorithms. | Paulina Leszczelowska, Maria Bollin, Karol Lempkowski, Mateusz Zak, Jacek Ruminski |
| 2023 | A Scalable Binary Neural Associative Memory on FPGA. | Marius Kortekamp, Sarah Pilz, Jens Hagemeyer, Ulrich Rckert |
| 2023 | Digit Recognition Using Spiking Neural Networks on FPGA. | Shamini Koravuna, Sanaullah, Thorsten Jungeblut, Ulrich Rckert |
| 2023 | Efficient Transformer for Video Summarization. | Tatiana Kolmakova, Ilya Makarov |
| 2023 | Classification of Subjectively Evaluated Images with Self-Enforcing Networks Using Reference Types, and a Cue Validity Factor. | Christina Klver, Jrgen Klver |
| 2023 | Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning. | M. J. Jimnez-Navarro, Mara Martnez-Ballesteros, Francisco Martnez-lvarez, Gualberto Asencio-Corts |
| 2023 | Comparison of Fourier Bases and Asymmetric Network Bases in the Bio-Inspired Networks. | Naohiro Ishii, Kazunori Iwata, Yuji Iwahori, Tokuro Matsuo |
| 2023 | SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network. | Rahmat Izwan Heroza, John Q. Gan, Haider Raza |
| 2023 | Offline Substitution Machine Learning Model for the Prediction of Fitness of GA-ARM. | Leila Hamdad, Cylia Laoufi, Rima Amirat, Karima Benatchba, Souhila Sadeg |
| 2023 | Event-Based Regression with Spiking Networks. | Elisa Guerrero, Fernando M. Quintana, Maria De La Paz Guerrero-Lebrero |
| 2023 | SpikeBALL: Neuromorphic Dataset for Object Tracking. | Maria De La Paz Guerrero-Lebrero, Fernando M. Quintana, Elisa Guerrero |
| 2023 | Prediction of Transportation Orders in Logistics Based on LSTM: Cargo Taxi. | Tomasz Grzejszczak, Adam Galuszka, Jaroslaw Smieja, Marek Harasny, Maciej Zalwert |
| 2023 | Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification. | Juan Carlos Gmez-Lpez, Daniel Castillo-Secilla, Dragi Kimovski, Jess Gonzlez |