The Distribution of periodic and Aperiodic Pattern Evolutions in Rings of Diffusively Coupled Maps. - Pedro G. Lind; João A. M. Corte-Real; Jason Alfredo Carlson Gallas (Int. J. Bifurc. Chaos, 2001)

Coupled Bistable Maps: a Tool to Study convection Parameterization in Ocean Models. - Pedro G. Lind; Sven Titz; Till Kuhlbrodt; João A. M. Corte-Real; Jürgen Kurths; Jason Alfredo Carlson Gallas; Ulrike Feudel (Int. J. Bifurc. Chaos, 2004)

Minimizing Stochasticity in the NAO Index. - Pedro G. Lind; Alejandro Mora; Maria Haase; Jason Alfredo Carlson Gallas (Int. J. Bifurc. Chaos, 2007)

Optimized Adjustment of Single Action-potentials to Case-specific Atrial Physiology: Towards Clinical Implementation. - Pedro G. Lind; Yvonne Richter; Gunnar Seemann; Claudia Lenk; Philipp Maass (CinC, 2017)

EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. - Sidney Pontes-Filho; Pedro G. Lind; Anis Yazidi; Jianhua Zhang; Hugo Hammer; Gustavo B. M. Mello; Ioanna Sandvig; Gunnar Tufte; Stefano Nichele (EvoApplications, 2020)

Construction of an Inexpensive Eye Tracker for Social Inclusion and Education. - Otthar A. N. Krohn; Vako Varankian; Pedro G. Lind; Gustavo Borges Moreno e Mello (HCI (8), 2020)

Prototyping-Based Study of Designs for Eye-Tracking Interface in Augmentative and Alternative Communication Applications. - Nayan Adhikari; Pedro G. Lind; Gustavo Borges Moreno e Mello (HCI (45), 2021)

For a New Protocol to Promote Empathy Towards Users of Communication Technologies. - Samip Bhurtel; Pedro G. Lind; Gustavo Borges Moreno e Mello (HCI (44), 2021)

Web Interface for Power Grid Database. - Sujan Devkota; Pedro G. Lind; Norun Christine Sanderson (HCI (45), 2021)

The Dynamical Landscape of Reservoir Computing with Elementary Cellular Automata. - Tom Eivind Glover; Pedro G. Lind; Anis Yazidi; Evgeny Osipov; Stefano Nichele (ALIFE, 2021)

Arbitrary-Order Finite-Time Corrections for the Kramers-Moyal Operator. - Leonardo Rydin Gorjão; Dirk Witthaut; Klaus Lehnertz; Pedro G. Lind (Entropy, 2021)

Evolving Quantum Circuits to Implement Stochastic and Deterministic Cellular Automata Rules. - Shailendra Bhandari; Sebastian Overskott; Ioannis Adamopoulos; Pedro G. Lind; Sergiy Denysov; Stefano Nichele (ACRI, 2022)

An HCI Experiment to Explore Interactive Artificial Life Art. - Glare Dumo; Pedro G. Lind; Stefano Nichele (HCI (39), 2022)

Assessing the robustness of critical behavior in stochastic cellular automata. - Sidney Pontes-Filho; Pedro G. Lind; Stefano Nichele (CoRR, 2022)

A new decision making model based on Rank Centrality for GDM with fuzzy preference relations. - Anis Yazidi; Magdalena Ivanovska; Fabio Massimo Zennaro; Pedro G. Lind; Enrique Herrera-Viedma (Eur. J. Oper. Res., 2022)

Predicting missing pairwise preferences from similarity features in group decision making. - Roza Abolghasemi; Rabindra Khadka; Pedro G. Lind; Paal Engelstad; Enrique Herrera-Viedma; Anis Yazidi (Knowl. Based Syst., 2022)

A Time-Aware Tensor Decomposition for Tracking Evolving Patterns. - Christos Chatzis; Max Pfeffer; Pedro G. Lind; Evrim Acar (MLSP, 2023)

Harmful Conspiracies in Temporal Interaction Networks: Understanding the Dynamics of Digital Wildfires through Phase Transitions. - Kaspara Skovli Gåsvær; Pedro G. Lind; Johannes Langguth; Morten Hjorth-Jensen; Michael Kreil; Daniel Thilo Schroeder (CoRR, 2023)

jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets. - Leonardo Rydin Gorjão; Dirk Witthaut; Pedro G. Lind (J. Stat. Softw., 2023)

Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach. - Mohamed Ould-Elhassen Aoueileyine; Hajar Bennouri; Amine Berqia; Pedro G. Lind; Hårek Haugerud; Ondrej Krejcar; Ridha Bouallegue; Anis Yazidi (Sensors, 2023)

Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol. - Ira R. J. Hebold Haraldsen; Christoffer Hatlestad-Hall; Camillo Marra; Hanna Renvall; Fernando Maestú; Jorge Acosta-Hernández; Soraya Alfonsin; Vebjørn Andersson; Abhilash Anand; Victor Ayllón; Aleksandar Babic; Asma Belhadi; et al. (Frontiers Neurorobotics, 2023)

Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark. - Tom Eivind Glover; Pedro G. Lind; Anis Yazidi; Evgeny Osipov; Stefano Nichele (Complex Syst., 2023)

Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models. - Shailendra Bhandari; Pedro Lencastre; Pedro G. Lind (GECCO Companion, 2024)

Inducing Inductive Bias in Vision Transformer for EEG Classification. - Rabindra Khadka; Pedro G. Lind; Gustavo B. M. Mello; Michael A. Riegler; Anis Yazidi (ICASSP, 2024)

Exploring Human Cognition From Eye-Movements: Is There Unconscious Visual Information? - Rujeena Mathema; Pedro G. Lind; Pedro Lencastre (ICDAR@ICMR, 2024)

Exploring Interpretable AI Methods for ECG Data Classification. - Jaya Ojha; Hårek Haugerud; Anis Yazidi; Pedro G. Lind (ICDAR@ICMR, 2024)

An Interpretable Graph Based Model for Classification Of EEG using Directional Functional Connectivity. - Mohamed Radwan; Pedro G. Lind; Anis Yazidi (ISBI, 2024)

How quantum and evolutionary algorithms can help each other: two examples. - Shailendra Bhandari; Stefano Nichele; Sergiy Denysov; Pedro G. Lind (CoRR, 2024)

Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models. - Shailendra Bhandari; Pedro Lincastre; Pedro G. Lind (CoRR, 2024)

DREAMS: A python framework to train deep learning models with model card reporting for medical and health applications. - Rabindra Khadka; Pedro G. Lind; Anis Yazidi; Asma Belhadi (CoRR, 2024)

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity. - Shailendra Bhandari; Pedro Lencastre; Rujeena Mathema; Alexander Szorkovszky; Anis Yazidi; Pedro G. Lind (CoRR, 2024)

Lévy Flight Model of Gaze Trajectories to Assist in ADHD Diagnoses. - Christos Papanikolaou; Akriti Sharma; Pedro G. Lind; Pedro Lencastre (Entropy, 2024)

Trustworthy machine learning in the context of security and privacy. - Ramesh Upreti; Pedro G. Lind; Ahmed Elmokashfi; Anis Yazidi (Int. J. Inf. Sec., 2024)

DREAMS: A python framework for training deep learning models on EEG data with model card reporting for medical applications. - Rabindra Khadka; Pedro G. Lind; Anis Yazidi; Asma Belhadi (SoftwareX, 2025)

A sensitivity analysis of cellular automata and heterogeneous topology networks: partially-local cellular automata and homogeneous homogeneous random boolean networks. - Tom Eivind Glover; Ruben Jahren; Francesco Martinuzzi; Pedro G. Lind; Stefano Nichele (Int. J. Parallel Emergent Distributed Syst., 2025)

IntLevPy: A Python library to classify and model intermittent and Lévy processes. - Shailendra Bhandari; Pedro Lencastre; Sergiy Denysov; Yurii Bystryk; Pedro G. Lind (CoRR, 2025)

From Video to EEG: Adapting Joint Embedding Predictive Architecture to Uncover Visual Concepts in Brain Signal Analysis. - Amirabbas Hojjati; Lu Li; Ibrahim A. Hameed; Anis Yazidi; Pedro G. Lind; Rabindra Khadka (CoRR, 2025)

Navigating Uncertainty: A User-Perspective Survey of Trustworthiness of AI in Healthcare. - Jaya Ojha; Oriana Presacan; Pedro G. Lind; Eric Monteiro; Anis Yazidi (ACM Trans. Comput. Heal., 2025)