| 2024 | A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device. | Sanaullah, Shamini Koravuna, Ulrich Rckert, Thorsten Jungeblut |
| 2024 | Binary Black Hole Parameter Estimation from Gravitational Waves with Deep Learning Methods. | Panagiotis N. Sakellariou, Spiros V. Georgakopoulos |
| 2024 | An Approach to Predict Optimal Configurations for LDA-Based Topic Modeling. | Mou Saha, Doina Logofatu |
| 2024 | Deep Echo State Networks for Modelling of Industrial Systems. | Jos Ramn Rodrguez-Ossorio, Claudio Gallicchio, Antonio Morn, Ignacio Daz Blanco, Juan Jos Fuertes, Manuel Domnguez |
| 2024 | HEDL-IDS | Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas, Elias Pimenidis |
| 2024 | Security Analysis of Cryptographic Algorithms: Hints from Machine Learning. | Mattia Paravisi, Andrea Visconti, Dario Malchiodi |
| 2024 | Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons. | Hussain Otudi, Shelly Gupta, Zoran Obradovic |
| 2024 | An Autoencoder-Based Approach for Anomaly Detection of Machining Processes Using Acoustic Emission Signals. | Antonio Nappa, Juan Luis Ferrando Chacn, Izar Azpiroz, Pedro Jos Arrazola |
| 2024 | Machine Learning-Based Detection and Classification of Neurodevelopmental Disorders from Speech Patterns. | Mouad El Omari, Belmajdoub Hanae, Khalid Minaoui |
| 2024 | Automation of the Error-Prone Pam-4 Sequence Discovery for the Purpose of High-Speed Serial Receiver Testing Using Reinforcement Learning Methods. | Manav Madan, Christoph Reich, Anton M. Unakafov, Valentina A. Unakafova, Alexander Schmitt |
| 2024 | Machine Learning-Based Feature Mapping for Enhanced Understanding of the Housing Market. | Michael Sahl Lystbk, Tharsika Pakeerathan Srirajan |
| 2024 | Graph-Based Fault Localization in Python Projects with Class-Imbalanced Learning. | Apoorva Anand Kulkarni, Divya G. Niranjan, Noel Saju, P. Rakshith Shenoy, Arti Arya |
| 2024 | Robust Traffic Prediction Using Probabilistic Spatio-Temporal Graph Convolutional Network. | Atkia Akila Karim, Naushin Nower |
| 2024 | Active Learning with Aggregated Uncertainties from Image Augmentations. | Tams Janusko, Colin Simon, Kevin Kirsten, Serhiy Bolkun, Eric Weinzierl, Julius Gonsior, Maik Thiele |
| 2024 | Application of Directional Vectors for Independent Subspaces in the Bio-Inspired Networks. | Naohiro Ishii, Kazunori Iwata, Kazuya Odagiri, Tokuro Matsuo |
| 2024 | Machine Learning Classification of Water Conductivity Raw Values of "Faneromeni" Reservoir in Crete. | Lazaros S. Iliadis, Nichat Kiourt, Christos Akratos, Antonis Papaleonidas |
| 2024 | Data-Driven Methods for Wi-Fi Anomaly Detection. | Telma Garo, Joana Sousa, Luis Andr, Carlos Alves, Nuno Felizardo, Carlos Silva, Joo Ferreira |
| 2024 | Support Vector Based Anomaly Detection in Federated Learning. | Massimo Frasson, Dario Malchiodi |
| 2024 | Towards Digitisation of Technical Drawings in Architecture: Evaluation of CNN Classification on the Perdaw Dataset. | Alexandru Filip, Stella Grahof |
| 2024 | A New Approach to Learn Spatio-Spectral Texture Representation with Randomized Networks: Application to Brazilian Plant Species Identification. | Ricardo T. Fares, Lucas Correia Ribas |
| 2024 | Machine Unlearning, A Comparative Analysis. | Ziad Doughan, Sari Itani |
| 2024 | Empirical Insights into Deep Learning Models for Misinformation Classification Within Constrained Data Environment. | Jayendra Ganesh Devisetti, Sanjana S, Shubhankar Kuranagatti, Abhishek Hiremath, Arti Arya |
| 2024 | Enhancing Natural Language Query to SQL Query Generation Through Classification-Based Table Selection. | Ankush Chopra, Rauful Azam |
| 2024 | Comparative Study Between Q-NAS and Traditional CNNs for Brain Tumor Classification. | Fabio H. Cardoso, Marley M. B. R. Vellasco, Karla Figueiredo |
| 2024 | Feature Selection with L | Leon Bobrowski |