• High expectations on phase locking: better quantifying the concentration of circular data

  Andrzejak, Ralph Gregor; Espinoso Palacín, Anaïs; García-Portugués, Eduardo; Pewsey, Arthur; Epifanio, Jacopo; Leguia, Marc G.; Schindler, Kaspar A. (American Institute of Physics (AIP), 2023)

  The degree to which unimodal circular data are concentrated around the mean direction can be quantified using the mean resultant length, a measure known under many alternative names, such as the phase locking value or the ...
• Towards soccer pass feasibility maps: the role of players’ orientation

  Arbués Sangüesa, Adrià; Martin, Adrian; Fernández, Javier; Haro Ortega, Gloria; Ballester, Coloma (Taylor & Francis, 2021)

  Once player tracking has been established as one of the main data sources in soccer, many challenges have emerged for data scientists, who attempt to recognize patterns from 2D trajectories in order to build tools that ...
• Designing affirmative action policies under uncertainty

  Hertweck, Corinna; Castillo, Carlos; Mathioudakis, Michael (Society for Learning Analytics Research, 2022)

  We study university admissions under a centralized system that uses grades and standardized test scores to match applicants to university programs. In the context of this system, we explore affirmative action policies that ...
• University students’ preference for flexible teaching models that foster constructivist learning practices

  Noguera, Ingrid; Albó, Laia; Beardsley, Marc (Australasian Society for Computers in Learning in Tertiary Education, 2022)

  In recent years, universities have intensified their use of technologies and implemented various modes of flexible teaching. This study sought to demonstrate that students prefer flipped learning with combined forms of ...
• Strength-dependent perturbation of whole-brain model working in different regimes reveals the role of fluctuations in brain dynamics

  Sanz Perl, Yonatan; Escrichs, Anira; Tagliazucchi, Enzo; Kringelbach, Morten L.; Deco, Gustavo (Public Library of Science (PLoS), 2022)

  Despite decades of research, there is still a lack of understanding of the role and generating mechanisms of the ubiquitous fluctuations and oscillations found in recordings of brain dynamics. Here, we used whole-brain ...
• Edge-based runtime verification for the Internet of Things

  Tsigkanos, Christos; Bersani, Marcello M.; Frangoudis, Pantelis A.; Dustdar, Schahram (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  Complex distributed systems such as the ones induced by Internet of Things (IoT) deployments, are expected to operate in compliance to their requirements. This can be checked by inspecting events flowing throughout the ...
• 6G network AI architecture for everyone-centric customized services

  Yang, Yang; Dustdar, Schahram; Shu, Hongfeng (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to effectively address diverse user requirements ...
• Orchestrating networked machine learning applications using Autosteer

  Wen, Zhenyu; Hu, Haozhen; Yang, Renyu; Qian, Bian; Sham, Ringo W.H.; Rui, Sun; Xu, Jie; Patel, Pankesh; Rana, Omer; Dustdar, Schahram; Ranjan, Rajiv (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  A platform for orchestrating networked machine learning (ML) applications over distributed environments is described. ML applications are transformed into automated pipelines that manage the whole application lifecycle and ...
• Utilizing AI planning on the edge

  Murturi, Ilir; Egyed, Adam; Dustdar, Schahram (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  The convergence between AI planning techniques and the Internet of Things (IoT) can solve various operational and business challenges. However, IoT systems’ stringent requirements such as latency and scalability have ...
• Edge computing: the computing infrastructure for the smart megacities of the future

  Motlagh, Naser Hossein; Lovén, Lauri; Cao, Jacky; Liu, Xiaoli; Nurmi, Petteri; Dustdar, Schahram; Tarkoma, Sasu; Su, Xiang (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  This article contributes a research vision for using edge computing to deliver the computing infrastructure for emerging smart megacities, with use cases, key requirements, and reflections on the state of the art. We also ...
• Remote sensing image interpretation with semantic graph-based methods: a survey

  Sun, Shengtao; Dustdar, Schahram; Ranjan, Rajiv; Morgan, Graham; Dong, Yusen; Wang, Lizhe (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  With the significant improvements in Earth observation (EO) technologies, remote sensing (RS) data exhibit the typical characteristics of Big Data. Propelled by the powerful feature extraction capabilities of intelligent ...
• Toward software-defined networking-based IoT frameworks: a systematic literature review, taxonomy, open challenges and prospects

  Siddiqui, Shahbaz; Hameed, Sufian; Shah, Syed Attique; Ahmad, Ijaz; Aneiba, Adel; Draheim, Dirk; Dustdar, Schahram (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  Internet of Things (IoT) is characterized as one of the leading actors for the next evolutionary stage in the computing world. IoT-based applications have already produced a plethora of novel services and are improving the ...
• A data protection focused adaptation engine for distributed video analytics pipelines

  Lachner, Clemens; Laufer, Jan; Dustdar, Schahram; Pohl, Klaus (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  The design, development, deployment, and operation of a distributed Video Analytics Pipeline (VAP) at the edge of the network is highly complex. In the domain of adaptive systems, several solutions are proposed in literature ...
• One session of fMRI-Neurofeedback training on motor imagery modulates whole-brain effective connectivity and dynamical complexity

  De Filippi, Eleonora; Marins, Theo; Escrichs, Anira; Gilson, Matthieu; Moll, Jorge; Tovar-Moll, Fernanda; Deco, Gustavo (Oxford University Press, 2022)

  In the past decade, several studies have shown that Neurofeedback (NFB) by functional magnetic resonance imaging can alter the functional coupling of targeted and non-targeted areas. However, the causal mechanisms underlying ...
• Re-producing public space: the changing everyday production of outdoor retail markets

  MMP; Breines, Markus; Dahinden, Janine; Jonsson, Anders; Lindmäe, Maria; Madella, Marco; Menet, Joanna; Schapendonk, Joris; van Eck, Emil; Melik, Rianne van; Watson, Sophie (Taylor & Francis, 2022)

  In 2020, nation states across Europe restricted access to, and use of, public space to prevent the spread of COVID-19. As almost all public spaces in Europe were consequently affected by restrictive measures, so too did ...
• An integrated resource for functional and structural connectivity of the marmoset brain

  Tian, Xiaoguang; Chen, Yuyan; Majka, Piotr; Szczupak, Diego; Sanz Perl, Yonatan; Yen, Cecil Chern-Chyi; Tong, Chuanjun; Feng, Furui; Jiang, Haiteng; Glen, Daniel; Deco, Gustavo; Rosa, Marcello G. P.; Silva, Afonso C.; Liang, Zhifeng; Liu, Cirong (Nature Research, 2022)

  Comprehensive integration of structural and functional connectivity data is required to model brain functions accurately. While resources for studying the structural connectivity of non-human primate brains already exist, ...
• Edge-to-cloud sensing and actuation semantics in the industrial Internet of Things

  Vila, Marc; Casamayor Pujol, Víctor; Dustdar, Schahram; Teniente, Ernest (Elsevier, 2022)

  There are billions of devices worldwide deployed, connected, and communicating to other systems. Sensors and actuators, which can be stationary or movable devices. These Edge devices are considered part of the Internet of ...
• Analysis of qCON and qNOX anesthesia indices and EEG spectral energy during natural sleep stages

  Cañellas, Joana; Espinoso Palacín, Anaïs; Ortega, Juan Felipe; Melia, Umberto; González, Carmen; Jensen, Erik Weber (ASTES Publishers, 2021)

  The objective of this research is to study the behaviour of the anaesthesia monitor Conox during natural sleep to open the gate for this devices to assess subjects during this stage. The values of qCON and qNOX indices and ...
• Temporal irreversibility of large-scale brain dynamics in Alzheimer’s disease

  Cruzat Grand, Josefina, 1983-; Herzog, Rubén; Prado, Pavel; Sanz Perl, Yonatan; Gonzalez-Gomez, Raul; Moguilner, Sebastián; Kringelbach, Morten L.; Deco, Gustavo; Tagliazucchi, Enzo; Ibañez, Agustin (Society for Neuroscience, 2023)

  Healthy brain dynamics can be understood as the emergence of a complex system far from thermodynamic equilibrium. Brain dynamics are temporally irreversible and thus establish a preferred direction in time (i.e., arrow of ...
• Integrating innovation into business strategy: perspectives from innovation managers

  López, Daniel; Oliver Riera, Miquel (MDPI, 2023)

  This article presents the results of a literature review and the preliminary results of interviews with directors and innovation managers of large companies on the importance of innovation in business strategy, innovation ...

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