Stationary Fokker - Planck Learning for the Optimization of Parameters in Nonlinear Models. - Dexmont Peña; Ricardo Sánchez; Arturo Berrones (MICAI, 2007)

Stationary Density of Stochastic Search Processes. - Arturo Berrones; Dexmont Peña; Ricardo Sánchez (Encyclopedia of Artificial Intelligence, 2009)

An improved interest point matching algorithm for human body tracking. - Alireza Dehghani; Alistair Sutherland; David Moloney; Dexmont Peña (IPAS, 2014)

Non-parametric image transforms for sparse disparity maps. - Dexmont Peña; Alistair Sutherland (MVA, 2015)

Disparity Estimation by Simultaneous Edge Drawing. - Dexmont Peña; Alistair Sutherland (ACCV Workshops (2), 2016)

Eyes of Things. - Noelia Vállez; José Luis Espinosa-Aranda; Jose M. Rico-Saavedra; Javier Parra-Patino; Oscar Déniz; Alain Pagani; Stephan Krauß; Ruben Reiser; Didier Stricker; David Moloney; Alireza Dehghani; Aubrey K. Dunne; et al. (IC2E, 2017)

Applications of the VOLA format for 3D data knowledge discovery. - Jonathan Byrne; Sam Caulfield; Léonie Buckley; Xiaofan Xu; Dexmont Peña; Gary Baugh; David Moloney (ICNC-FSKD, 2017)

Analysis of the Effect of Sensors for End-to-End Machine Learning Odometry. - Carlos Marquez Rodriguez-Peral; Dexmont Peña (ECCV Workshops (6), 2018)

It All Matters: Reporting Accuracy, Inference Time and Power Consumption for Face Emotion Recognition on Embedded Systems. - Jelena Milosevic; Dexmont Peña; Andrew Forembsky; David Moloney; Miroslaw Malek (CoRR, 2018)

Smart Doll: Emotion Recognition Using Embedded Deep Learning. - José Luis Espinosa-Aranda; Noelia Vállez; Jose M. Rico-Saavedra; Javier Parra-Patino; Gloria Bueno García; Matteo Sorci; David Moloney; Dexmont Peña; Oscar Déniz-Suárez (Symmetry, 2018)

Leveraging Deep Learning for Visual Odometry Using Optical Flow. - Tejas Pandey; Dexmont Peña; Jonathan Byrne; David Moloney (Sensors, 2021)