| 2024 | CLARA: Semi-automatic Retraining System. | M. Campos-Mochol, Oriol Chacn-Albero, Cdric Marco-Detchart, Vicente Julin, Jaime Andres Rincon, Vicent J. Botti |
| 2024 | Association Rules Mining with Auto-encoders. | Thophile Berteloot, Richard Khoury, Audrey Durand |
| 2024 | Assessing the Impact of Temporal Data Aggregation on the Reliability of Predictive Machine Learning Models. | Ayah Barhrhouj, Bouchra Ananou, Mustapha Ouladsine |
| 2024 | A Deep-Learning Approach for the Identification of New Subtypes of Lung Cancer. | Tuhin Banerjee, Andrea Corradini |
| 2024 | Hotel's Price Prediction Based on Country Specific Data. | Andrei Balan, Paul-Stefan Popescu, Marian Cristian Mihaescu |
| 2024 | Comparing MAE and RMSE as Fitness of Genetic Algorithm for Optimizing Echo State Network Hyperparameters with Different Probabilistic Distributions. | Henrique Vaz de Arajo, Fabian Corra Cardoso, Viviane Leite Dias de Mattos, Eduardo Nunes Borges, Giancarlo Lucca, Bruno Lopes Dalmazo, Rafael Alceste Berri |
| 2024 | Federated Learning for Vietnamese SMS Spam Detection Using Pre-trained PhoBERT. | Hoang Quang Anh, Pham Tuan Anh, Pham Son Nguyen, Phan Duy Hung |
| 2024 | Automatic Classification of Signal and Noise in Functional Magnetic Resonance Imaging Scans Using Convolutional Neural Networks. | Georgian Anghelescu, Camelia Chira, Kristoffer N. T. Mnsson |
| 2024 | Fast and Scalable Recommendation Retrieval Model with Mixed Attention and Knowledge Distillation. | Dmytro Androsov |
| 2024 | Clustering of Serious Game Traces Using Formal Concept Analysis. | Sbastien Amoury, Karell Bertet, Damien Mondou |
| 2024 | Indecision-Aware Deep Active Anomaly Detection. | Simone Amirato, Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina |
| 2024 | Model-Based Meta-reinforcement Learning for Hyperparameter Optimization. | Jeroen Albrechts, Hugo M. Martin, Maryam Tavakol |
| 2023 | Comparing Ranking Learning Algorithms for Information Retrieval Systems. | Junior Zilles, Eduardo N. Borges, Giancarlo Lucca, Cdric Marco-Detchart, Rafael A. Berri, Graaliz Pereira Dimuro |
| 2023 | Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts. | Xingzhi Zhou, Xiang Liu, Yimin Wen |
| 2023 | Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model. | Songlin Yan, Xiujiao Chen, Xiaoying Tang, Xuebing Chi |
| 2023 | FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification. | Markus Weiflog, Peter Protzel, Peer Neubert |
| 2023 | Measuring the Relationship Between the Use of Typical Manosphere Discourse and the Engagement of a User with the Pick-Up Artist Community. | Javier Torregrosa, ngel Panizo-LLedot, Sergio D'Antonio-Maceiras, David Camacho |
| 2023 | A Machine Learning Approach to Predict Cyclists' Functional Threshold Power. | Ronald Andrew Stockwell, Andrea Corradini |
| 2023 | The Applicability of Federated Learning to Official Statistics. | Joshua Stock, Oliver Hauke, Julius Weimann, Hannes Federrath |
| 2023 | Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks. | Roberto C. Sotero, Jose Miguel Sanchez Bornot |
| 2023 | Globular Cluster Detection in M33 Using Multiple Views Representation Learning. | Taned Singlor, Phonphrm Thawatdamrongkit, Prapaporn Techa-angkoon, Chutipong Suwannajak, Jakramate Bootkrajang |
| 2023 | GPU-Based Acceleration of the Rao Optimization Algorithms: Application to the Solution of Large Systems of Nonlinear Equations. | Bruno Silva, Luiz Guerreiro Lopes |
| 2023 | Uniform Design of Experiments for Equality Constraints. | Fabian Schneider, Ralph J. Hellmig, Oliver Nelles |
| 2023 | Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification. | Halil Mertkan Sahin, Bruce Grieve, Hujun Yin |
| 2023 | Causal Graph Discovery for Explainable Insights on Marine Biotoxin Shellfish Contamination. | Diogo Ribeiro, Filipe Ferraz, Marta B. Lopes, Susana Rodrigues, Pedro Reis Costa, Susana Vinga, Alexandra M. Carvalho |