Browsing ODA Open Digital Archive by Author "Lind, Pedro"

Now showing items 21-40 of 44

    • Identifying Autism Gaze Patterns in Five-Second Data Records 

      Lencastre, Pedro; Lotfigolian, Maryam; Lind, Pedro (Peer reviewed; Journal article, 2024)
      One of the most challenging problems when diagnosing autism spectrum disorder (ASD) is the need for long sets of data. Collecting data during such long periods is challenging, particularly when dealing with children. This ...

    • 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 

      Haraldsen, Ira Hebold; Hatlestad-Hall, Christoffer; Marra, Camillo; Renvall, Hanna; Maestú, Fernando; Acosta-Hernández, Jorge; Alfonsin, Soraya; Andersson, Vebjørn; Anand, Abhilash; Ayllón, Victor; Babic, Aleksandar; Belhadi, Asma; Birck, Cindy; Bruña, Ricardo; Caraglia, Naike; Carrarini, Claudia; Christensen, Erik; Cicchetti, Americo; Daugbjerg, Signe; Di Bidino, Rossella; Diaz-Ponce, Ana; Drews, Ainar; Giuffrè, Guido Maria; Georges, Jean; Gil-Gregorio, Pedro; Gove, Dianne; Govers, Tim M.; Hallock, Harry; Hietanen, Marja; Holmen, Lone; Hotta, Jaakko; Kaski, Samuel; Khadka, Rabindra; Kinnunen, Antti S.; Koivisto, Anne M.; Kulashekhar, Shrikanth; Larsen, Denis; Liljeström, Mia; Lind, Pedro; Marcos Dolado, Alberto; Marshall, Serena; Merz, Susanne; Miraglia, Francesca; Montonen, Juha; Mäntynen, Ville; Øksengård, Anne Rita; Olazarán, Javier; Paajanen, Teemu; Peña, José M.; Peña, Luis; Peniche, Daniel lrabien; Sanz Perez, Ana; Radwan, Mohamed; Ramírez-Toraño, Federico; Rodríguez-Pedrero, Andrea; Saarinen, Timo; Salas-Carrillo, Mario; Salmelin, Riitta; Sousa, Sonia; Suyuthi, Abdillah; Toft, Mathias; Toharia, Pablo; Tveitstøl, Thomas; Tveter, Mats; Upreti, Ramesh; Vermeulen, Robin J.; Vecchio, Fabrizio; Yazidi, Anis; Rossini, Paolo Maria (Peer reviewed; Journal article, 2023)
      More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage between normal brain aging and dementia stage memory disorder. The path MCI takes can be divergent; while some maintain ...

    • Interactive evolution of artificial life art 

      Dumo, Glare Eugenio (ACIT;2022, Master thesis, 2022)
      In this thesis, we designed and presented an interface which is used for creating art using tools from artificial intelligence and artificial life. The interface is used for conducting two different experiments, one for ...

    • Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark 

      Glover, Tom Eivind; Lind, Pedro; Yazidi, Anis; Osipov, Evgeny; Nichele, Stefano (Peer reviewed; Journal article, 2023)
      Reservoir computing with cellular automata (ReCAs) is a promising concept by virtue of its potential for effective hardware implementation. In this paper, we explore elementary cellular automata rules in the context of ...

    • jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets 

      Rydin Gorjão, Leonardo; Witthaut, Dirk; Lind, Pedro (Journal of Statistical Software;, Peer reviewed; Journal article, 2023)
      We introduce a Python library, called jumpdiff, which includes all necessary functions to assess jump-diffusion processes. This library includes functions which compute a set of non-parametric estimators of all contributions ...

    • Lévy Flight Model of Gaze Trajectories to Assist in ADHD Diagnoses 

      Papanikolaou, Christos; Sharma, Akriti; Lind, Pedro; Lencastre, Pedro (Peer reviewed; Journal article, 2024)
      Theprecisemathematicaldescriptionofgazepatternsremainsatopicofongoingdebate, impacting the practical analysis of eye-tracking data. In this context, we present evidence supporting the appropriateness of a Lévy flight ...

    • Mathematical insights into eye gaze dynamics of autistic children 

      Lotfigolian, Maryam (Master thesis, 2023)
      Early detection and diagnosis of Autism Spectrum Disorder (ASD) is crucial for effective intervention and improved outcomes. Eye-tracking technology offers a non-invasive and objective method for detecting autism symptoms, ...

    • A Model for Assessing the Quantitative Effects of Heterogeneous Affinity in Malaria Transmission along with Ivermectin Mass Administration 

      Sequeira, Joao; Louca, Jorge; Mendes, Antonio; Lind, Pedro (Applied Sciences;Volume 10 / Issue 23, Journal article; Peer reviewed, 2020-12-04)
      Using an agent-based model of malaria, we present numerical evidence that in communities of individuals having an affinity varying within a broad range of values, disease transmission may increase up to 300%. Moreover, our ...

    • Modeling Wind-Speed Statistics beyond the Weibull Distribution 

      Lencastre, Pedro; Yazidi, Anis; Lind, Pedro (Peer reviewed; Journal article, 2024)
      While it is well known that the Weibull distribution is a good model for wind-speed measurements and can be explained through simple statistical arguments, how such a model holds for shorter time periods is still an open ...

    • Modern AI versus century-old mathematical models: How far can we go with generative adversarial networks to reproduce stochastic processes? 

      Rego Lencastre e Silva, Pedro; Gjersdal, Marit; Gorjão, Leonardo Rydin; Yazidi, Anis; Lind, Pedro (Peer reviewed; Journal article, 2023)
      The usage of generative adversarial networks (GAN)s for synthetic time-series data generation has been gaining popularity in recent years with applications from finance to music composition and processing of textual ...

    • A mutual information approach on fNIRS functional connectivity network 

      Romero, Sergio Alejandro Sotres (ACIT;2021, Master thesis, 2021)
      The functional near-infrared spectroscopy (fNIRS), as a brain imaging modality, is a versatile technique for understanding brain activity processes at the level of the brain cortex. The use of this technology facilities ...

    • A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality 

      Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (Cognitive Neurodynamics;, Journal article; Peer reviewed, 2020-06-11)
      Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, ...

    • A new decision making model based on Rank Centrality for GDM with fuzzy preference relations 

      Yazidi, Anis; Ivanovska, Magdalena; Zennaro, Fabio Massimo; Lind, Pedro; Viedma, Enrique Herrera (European Journal of Operational Research;Volume 297, Issue 3, Peer reviewed; Journal article, 2021-06-01)
      Preference aggregation in Group Decision Making (GDM) is a substantial problem that has received a lot of research attention. Decision problems involving fuzzy preference relations constitute an important class within GDM. ...

    • On the existence and characterization of extreme events in wind data 

      Garcia, Constantino; Lind, Pedro; Wächter, Matthias; Otero, Antonio; Peinke, Joachim (Conference object, 2019)
      We present evidence that quantitative definitions of extreme events in wind, so called gusts, may be flawed and unable to grasp true extreme situations of wind velocity in short time intervals. In particular, we show that ...

    • Predicting ADHD in Children Using Eye-Tracking Data and Mathematical Modeling 

      Papanikolaou, Christos; Lencastre, Pedro (Master thesis, 2023)
      Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurobiological condition with far-reaching implications for a child's academic achievement, well-being, and social interactions. Despite its impact, current ...

    • Predicting missing pairwise preferences from similarity features in group decision making 

      Abolghasemi, Roza; Khadka, Rabindra; Lind, Pedro; Engelstad, Paal E.; Viedma, Enrique Herrera; Yazidi, Anis (Knowledge-Based Systems;Volume 256, 28 November 2022, 109860, Peer reviewed; Journal article, 2022)
      In group decision-making (GDM), fuzzy preference relations (FPRs) refer to pairwise preferences in the form of a matrix. Within the field of GDM, the problem of estimating missing values is of utmost importance, since many ...

    • Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach 

      Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine; Lind, Pedro; Haugerud, Hårek; Krejcar, Ondrej; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)
      Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ...

    • Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach 

      Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine; Lind, Pedro; Haugerud, Hårek; Krejcar, Ondrej; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)
      Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ...

    • Small scale structures of turbulence in terms of entropy and fluctuation theorems 

      Fuchs, Andre; Queiros, Silvio D.A.; Lind, Pedro; Girard, Alain; Bouchet, Freddy; Wächter, Matthias; Peinke, Joachim (Physical Review Fluids;5, 034602, Journal article; Peer reviewed, 2020-03-11)
      We present experimental evidence that, together with the integral fluctuation theorem, which is fulfilled with high accuracy, a detailed-like fluctuation theorem holds for large entropy values in cascade processes in ...

    • "Sustainable Wind Turbine Predictive Maintenance: Detecting Mexican Hats in Wind Speed Data for Efficient Operations" 

      Marasuli, Maryam (Master thesis, 2023)
      Wind turbines are critical for renewable energy generation, but unexpected maintenance issues can hinder their efficient operation. Predictive maintenance can mitigate these issues by detecting early signs of turbine ...