Scientific Articles

Fernando Martin Maroto, Gonzalo G. de Polavieja. Finite Atomized semilattices. arXiv preprint, February 2021.

Fernando Martin Maroto, Gonzalo G. de Polavieja. Semantic Embeddings in semilattices. arXiv preprint, March 2022.

Fernando Martin Maroto, Gonzalo G. de Polavieja. Algebraic Machine Learning: learning by the extraction of stable components in the freest model. arXiv preprint, June 2022.

Stephen Fox. Psychomotor predictive processing. Entropy, 23(7), 806, June 2021

Stephen Fox. Behavioral ethics ecologies of human-artificial intelligence systems. Behavioral Sciences, 12(4), 103, April 2022.

Stephen Fox. Practical implications from distinguishing between Pearl blankets and Friston blankets. Behavioral and Brain Sciences, 45, E194 September 2022. PDF.

Stephen Fox. Human-artificial intelligence systems: How human survival first principles influence machine learning world models. Systems, December 2022, 10(6), 260.

Koch, J., & Fortes Rey, V. Combining Human-centred Explainability and Explainable AI. ACM CHI Workshop Human-Centered Perspectives in Explainable AI, 1–6, May 2022.

Raul Fernandez-Fernandez, Juan G. Victores, Carlos Balaguer, Deep Robot Sketching: An application of Deep Q-Learning Networks for human-like sketching, Cognitive Systems Research, Volume 81, 2023, Pages 57-63, ISSN 1389-0417, September 2023.

Raul Fernandez-Fernandez, Bartek Łukawski, Juan G. Victores, Claudio Pacchierotti, Transferring human emotions to robot motions using Neural Policy Style Transfer. Cognitive Systems Research, Volume 82, 2023, 101121, ISSN 1389-0417, December 2023.

Lukawski, B.; Montesino Valle, I., Victores, J. G., Jardón, A., Balaguer, C., An inverse kinematics problem solver based on screw theory for manipulator arms. XLIII Jornadas de Automática: libro de actas, pp. 864-869, September 2022.

Montesino Valle, I., Łukawski, B., Victores, J. G., Jardon Huete, A., Balaguer, C., Impedance based Gym environment for the IIWA Collaborative robot towards human robot interaction. XLIII Jornadas de Automática: libro de actas, pp. 762-769, September 2022.

Naranjo-Campos, F. J., Matías-Martínez, A., Victores, J. G., Álvarez, N., Alcaide, A., Balaguer, C., Manipulación de objetos dirigida a la asistencia de personas con movilidad reducida. XLIII Jornadas de Automática: libro de actas, pp. 798-803, September 2022.

Montesino Valle, I., Victores, J. G., Balaguer, C., Jardón Huete, A., Extending Piecewise Bezier Fitting Methods ́to SO(3) and SE(3) for Robot Paths. FW12: Geometric Representations: The Roles of Screw Theory, Lie algebra, & Geometric Algebra, Volume 1, September 2023

Łukawski, B., Victores, J. G., Balaguer, C., A generic controller for teleoperation on robotic manipulators using low-cost devices. XLIV Jornadas de Automática, 2023.

Vitor Fortes Rey, Dominique Nshimyimana, and Paul Lukowicz. 2023. Don't freeze: Finetune encoders for better Self-Supervised HAR. In Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp/ISWC '23 Adjunct). Association for Computing Machinery, New York, NY, USA, 195–196, October 2023

Fernando Martin-Maroto, Antonio Ricciardo, David Mendez, Gonzalo G. de Polavieja, “Infinite Atomized Semilattices”, November 2023.

Fox, S. and Victores, J.G.. Safety of Human–Artificial Intelligence systems: Applying safety science to analyze loopholes in interactions between human organizations, artificial intelligence, and individual people. Informatics, 11(2), 36. 2024.

Fox, S. and Rey, V.F. Representing human ethical requirements in hybrid machine learning models: Technical opportunities and fundamental challenges. Machine Learning & Knowledge Extraction, 6(1): 580–592. 2024

Fox, S., and Rey. V.F. A Cognitive Load Theory (CLT) analysis of machine learning explainability, transparency, interpretability, and shared interpretability. Machine Learning and Knowledge Extraction, 6(3), 1494-1509 2024.

Fernando Martin Maroto, Nabil Abderrahaman-Elena, David Méndez and Gonzalo G. de Polavieja. Algebraic Machine Learning: Learning as computing an algebraic decomposition of a task. Feb 2025

Stephen Fox and Antonio Ricciardo Better than trees: Applying semilattices to balance the accuracy and complexity of machine learning models. Machine Learning & Knowledge Extraction. Machine Learning and Knowledge Extraction, 6(3), 1494-1509 2024.