Leonardo Espinosa Leal

According to our database, Leonardo Espinosa Leal authored at least 21 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Explainable Admission-Level Predictive Modeling for Prolonged Hospital Stay in Elderly Populations: Challenges in Low- and Middle-Income Countries.

Daniel Sierra-Botero, Ana Molina-Taborda, Leonardo Espinosa-Leal, Alexander Karpenko, Alejandro Hernandez, Olga Lopez-Acevedo

CoRR, January, 2026

Automating customer feedback analysis in E-commerce: A multi-Model approach.

Laleh Davoodi, József Mezei, Shahrokh Nikou, Leonardo Espinosa-Leal

Expert Syst. Appl., 2026

2025

Arc Gradient Descent: A Mathematically Derived Reformulation of Gradient Descent with Phase-Aware, User-Controlled Step Dynamics.

Nikhil Verma, Joonas Linnosmaa, Leonardo Espinosa-Leal, Napat Vajragupta

CoRR, December, 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

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

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

On the Meaning of Trust, Reasons of Fear and the Metaphors of AI: Ideology, Ethics, and Fear.

Leonardo Espinosa-Leal, Matteo Stocchetti

Proceedings of the Social Robots with AI: Prospects, 2024

Sharing non-reversible data statistics for fast and secure Federated learning native to Extreme Learning Machine.

Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk

Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024

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

Native interaction experience for computational maps with mobile devices.

Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Renjie Hu

Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

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

Proceedings of the Advances in Computational Intelligence, 2023

2022

Indoor Scene Recognition via Object Detection and TF-IDF.

Edvard Heikel, Leonardo Espinosa Leal

J. Imaging, 2022

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

Proceedings of the Social Robots in Social Institutions, 2022

2021

Multi-armed bandits for bid shading in first-price real-time bidding auctions.

Tuomo Tilli, Leonardo Espinosa Leal

J. Intell. Fuzzy Syst., 2021

Reliable Fleet Analytics for Edge IoT Solutions.

Emmanuel Raj, Magnus Westerlund, Leonardo Espinosa Leal

CoRR, 2021

Handwriting features based detection of fake signatures.

Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Renjie Hu

Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

2020

Autonomous Industrial Management via Reinforcement Learning.

Leonardo Espinosa Leal, Anthony Chapman, Magnus Westerlund

J. Intell. Fuzzy Syst., 2020

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

Spiking networks for improved cognitive abilities of edge computing devices.

Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa Leal, Yoan Miche, Renjie Hu, Amaury Lendasse

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

Reinforcement Learning for Extended Reality: Designing Self-Play Scenarios.

Leonardo Espinosa Leal, Anthony Chapman, Magnus Westerlund

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018

A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning.

Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok

Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018