A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning. - Leonardo Espinosa Leal; Kaj-Mikael Björk; Amaury Lendasse; Anton Akusok (PETRA, 2018)

Reinforcement Learning for Extended Reality: Designing Self-Play Scenarios. - Leonardo Espinosa Leal; Anthony Chapman; Magnus Westerlund (HICSS, 2019)

Spiking networks for improved cognitive abilities of edge computing devices. - Anton Akusok; Kaj-Mikael Björk; Leonardo Espinosa Leal; Yoan Miche; Renjie Hu; Amaury Lendasse (PETRA, 2019)

Autonomous Industrial Management via Reinforcement Learning: Self-Learning Agents for Decision-Making - A Review. - Leonardo A. Espinosa Leal; Magnus Westerlund; Anthony Chapman (CoRR, 2019)

Autonomous Industrial Management via Reinforcement Learning. - Leonardo Espinosa Leal; Anthony Chapman; Magnus Westerlund (J. Intell. Fuzzy Syst., 2020)

Handwriting features based detection of fake signatures. - Anton Akusok; Leonardo Espinosa Leal; Kaj-Mikael Björk; Amaury Lendasse; Renjie Hu (PETRA, 2021)

Reliable Fleet Analytics for Edge IoT Solutions. - Emmanuel Raj; Magnus Westerlund; Leonardo Espinosa Leal (CoRR, 2021)

Multi-armed bandits for bid shading in first-price real-time bidding auctions. - Tuomo Tilli; Leonardo Espinosa Leal (J. Intell. Fuzzy Syst., 2021)

Stakeholders' Experiences of and Expectations for Robot Accents in a Dental Care Simulation: A Finland-Swedish Case Study. - Susanne Hägglund; Christa Tigerstedt; Dennis Biström; Mattias Wingren; Sören Andersson; Kristoffer Kuvaja Adolfsson; Johan Penttinen; Leonardo Espinosa Leal (Robophilosophy, 2022)

Indoor Scene Recognition via Object Detection and TF-IDF. - Edvard Heikel; Leonardo Espinosa Leal (J. Imaging, 2022)

Acid Sulfate Soils Classification and Prediction from Environmental Covariates Using Extreme Learning Machines. - Tamirat Atsemegiorgis; Leonardo Espinosa Leal; Amaury Lendasse; Stefan Mattbäck; Kaj-Mikael Björk; Anton Akusok (IWANN (1), 2023)

Native interaction experience for computational maps with mobile devices. - Anton Akusok; Leonardo Espinosa Leal; Kaj-Mikael Björk; Renjie Hu (PETRA, 2023)

Overall Prompting Effectiveness for Optimising Human-Machine Interaction in Cyber-Physical Systems. - Simon Wilbers; Leonardo Espinosa-Leal; Ron van de Sand; Joerg Reiff-Stephan (J. Integr. Des. Process. Sci., 2023)

Sharing non-reversible data statistics for fast and secure Federated learning native to Extreme Learning Machine. - Anton Akusok; Leonardo Espinosa Leal; Kaj-Mikael Björk (PETRA, 2024)

Selecting Interpretability Techniques for Healthcare Machine Learning models. - Daniel Sierra-Botero; Ana Molina-Taborda; Mario S. Valdés-Tresanco; Alejandro Hernández-Arango; Leonardo Espinosa Leal; Alexander Karpenko; Olga Lopez-Acevedo (CoRR, 2024)

Offline Reinforcement Learning for Adaptive Control in Manufacturing Processes: A Press Hardening Case Study. - Nuria Nievas; Leonardo Espinosa-Leal; Adela Pagès-Bernaus; Albert Abio; Lluís Echeverria; Francesc Bonada (J. Comput. Inf. Sci. Eng., 2025)

Private linear equation solving: An application to federated learning and extreme learning machines. - Daniel Heinlein; Anton Akusok; Kaj-Mikael Björk; Leonardo Espinosa-Leal (J. Comput. Sci., 2025)