LIDA: A Systems-level Architecture for Cognition, Emotion, and Learning. - Stan Franklin; Tamas Madl; Sidney K. D'Mello; Javier Snaider (IEEE Trans. Auton. Ment. Dev., 2014)

Computational cognitive models of spatial memory in navigation space: A review. - Tamas Madl; Ke Chen 001; Daniela Montaldi; Robert Trappl (Neural Networks, 2015)

Constrained Incrementalist Moral Decision Making for a Biologically Inspired Cognitive Architecture. - Tamas Madl; Stan Franklin (A Construction Manual for Robots' Ethical Systems, 2015)

Network Analysis of Heart Beat Intervals Using Horizontal Visibility Graphs. - Tamas Madl (CinC, 2016)

Deep neural heart rate variability analysis. - Tamas Madl (CoRR, 2016)

Bayesian mechanisms in spatial cognition: towards real-world capable computational cognitive models of spatial memory. - Tamas Madl (2016)

Safe Semi-Supervised Learning of Sum-Product Networks. - Martin Trapp 001; Tamas Madl; Robert Peharz; Franz Pernkopf; Robert Trappl (UAI, 2017)

Smartphone-based paroxysmal atrial fibrillation monitoring with robust generalization. - Tamas Madl; David Madl (CoRR, 2017)

A computational cognitive framework of spatial memory in brains and robots. - Tamas Madl; Stan Franklin; Ke Chen 001; Robert Trappl (Cogn. Syst. Res., 2018)

Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography. - Luca Franceschi 001; Cemre Zor; Muhammad Bilal Zafar; Gianluca Detommaso; Cédric Archambeau; Tamas Madl; Michele Donini; Matthias W. Seeger (TML4H, 2023)

Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning. - Tamas Madl; Weijie Xu; Olivia Choudhury; Matthew Howard (CoRR, 2023)

Network analysis of meditative states in highly skilled meditators using EEG and horizontal visibility graphs. - Tamas Madl (EMBC, 2024)