• Autonomous stock counting based on a stigmergic algorithm for multi-robot systems

  Casamayor-Pujol, Victor; Morenza-Cinos, Marc; Gastón, Bernat; Pous Andrés, Rafael (Elsevier, 2020)

  Maintaining an accurate and close to real time inventory of items is crucial for an efficient Supply Chain Management (SCM), which is one of the main pillars of successful business decisions in the retail market. Due to ...
• A synthetic data generator for online social network graphs

  Nettleton, David F. (Springer, 2016)

  Two of the difficulties for data analysts of online social networks are (1) the public availability of data and (2) respecting the privacy of the users. One possible solution to both of these problems is to use synthetically ...
• Combining K-MEANS and a genetic algorithm through a novel arrangement of genetic operators for high quality clustering

  Islam, Zahidul; Estivill Castro, Vladimir; Rahman, Anisur; Bossomaier, Terry (Elsevier, 2018)

  Knowledge discovery from data can be broadly categorized into two types: supervised and unsupervised. A supervised knowledge discovery process such as classification by decision trees typically requires class labels which ...
• Visual information flow in Wilson–Cowan networks

  Gómez Villa, Alexander; Bertalmío, Marcelo; Malo, Jesús (American Physiological Society, 2020)

  In this paper, we study the communication efficiency of a psychophysically tuned cascade of Wilson–Cowan and divisive normalization layers that simulate the retina-V1 pathway. This is the first analysis of Wilson–Cowan ...
• Lifespan associated global patterns of coherent neural communication

  Sahoo, Bikash; Pathak, Anagh; Deco, Gustavo; Banerjee, Arpan; Roy, Dipanjan (Elsevier, 2020)

  Healthy ageing is accompanied by changes to spontaneous electromagnetic oscillations. At the macroscopic scale, previous studies have quantified the basic features, e.g., power and frequencies in rhythms of interest from ...
• A neuronal theory of sequential economic choice

  Hayden, Benjamin Y.; Moreno Bote, Rubén (SAGE Publications, 2018)

  Results of recent studies point towards a new framework for the neural bases of economic choice. The principles of this framework include the idea that evaluation is limited to a single option within the focus of attention ...
• Integrating lexical and prosodic features for automatic paragraph segmentation

  Lai, Catherine; Farrús, Mireia; Moore, Johanna D. (Elsevier, 2020)

  Spoken documents, such as podcasts or lectures, are a growing presence in everyday life. Being able to automatically identify their discourse structure is an important step to understanding what a spoken document is about. ...
• Individual differences in hippocampal volume as a function of BMI and reward sensitivity

  Parcet, Maria-Antònia; Adrián Ventura, Jesús; Costumero, Víctor; Ávila, César (Frontiers, 2020)

  Sensitivity to reward is a personality trait that predisposes a person to several addictive behaviors, including the presence of different risky behaviors that facilitates uncontrolled eating. However, the multifactorial ...
• Challenges for coonnecting citizens and smart cities: ICT, e-governance and blockchain

  Oliveira, Thays A.; Oliver Riera, Miquel; Ramalhinho-Lourenço, Helena (MDPI, 2020)

  The way citizens interact with cities affects overall life quality. Their participation in social decisions is of paramount importance for helping on public decisions that affect governance, regulation and education. This ...
• Modeling regional changes in dynamic stability during sleep and wakefulness

  Perez Ipiña, Ignacio; Donnelly Kehoe, Patricio; Kringelbach, Morten L.; Laufs, Helmut; Ibañez, Agustín; Deco, Gustavo; Sanz Perl, Yonatan; Tagliazucchi, Enzo (Elsevier, 2020)

  Global brain states are frequently placed within a unidimensional continuum by correlational studies, ranging from states of deep unconsciousness to ordinary wakefulness. An alternative is their multidimensional and ...
• Dynamic coupling of whole-brain neuronal and neurotransmitter systems

  Kringelbach, Morten L.; Cruzat, Josephine; Cabral, Joana R. B.; Moos Knudsen, Gitte; Carhart Harris, Robin; Whybrow, Peter C.; Logothetis, N.; Deco, Gustavo (National Academy of Sciences, 2020)

  Remarkable progress has come from whole-brain models linking anatomy and function. Paradoxically, it is not clear how a neuronal dynamical system running in the fixed human anatomical connectome can give rise to the rich ...
• Obey or play: asymptotic equivalence of slotted aloha with a game theoretic contention model

  Barceló Vicens, Jaume; Inaltekin, Hazer; Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2011)

  Contention control is an important means to mitigate adverse affects of multiple access interference on transmitted data packets in wireless communication networks. Most practical contention control mechanisms, e.g., IEEE ...
• On the performance of packet aggregation in IEEE 802.11ac MU-MIMO WLANs

  Bellalta, Boris; Barceló Vicens, Jaume; Staehle, Dirk; Vinel, Alexey; Oliver Riera, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2012)

  Multi-user spatial multiplexing combined with packet aggregation can significantly increase the performance of Wireless Local Area Networks (WLANs). In this letter, we present and evaluate a simple technique to perform ...
• Performance optimization of multiple interconnected heterogeneous sensor networks via collaborative information sharing

  Pal, Sougata; Oechsner, Simon; Bellalta, Boris; Oliver Riera, Miquel (IOS Press, 2013)

  Interconnecting multiple sensor networks is a relatively new research field which has emerged in the Wireless Sensor Network domain. Wireless Sensor Networks (WSNs) have typically been seen as logically separate, and few ...
• An approximate queueing model for multi-rate multi-user MIMO systems

  Bellalta, Boris; Daza, Vanesa; Oliver Riera, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2011)

  A queueing model for Multi-rate Multi-user MIMO systems is presented. The model is built upon the assumption that the probability distribution of available destinations among the buffered frames at the Base Station (BS) ...
• A flexible machine-learning-aware architecture for future WLANs

  Wilhelmi Roca, Francesc; Barrachina Muñoz, Sergio; Bellalta, Boris; Cano Bastidas, Cristina; Jonsson, Anders; Ram, Vishnu (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  Lots of hopes have been placed on machine learning (ML) as a key enabler of future wireless networks. By taking advantage of large volumes of data, ML is expected to deal with the ever-increasing complexity of networking ...
• Cortical state transitions and stimulus response evolve along stiff and sloppy parameter dimensions, respectively

  Ponce-Alvarez, Adrián; Mochol, Gabriela; Hermoso Mendizábal, Ainhoa; De la Rocha, Jaime; Deco, Gustavo (eLife, 2020)

  Previous research showed that spontaneous neuronal activity presents sloppiness: the collective behavior is strongly determined by a small number of parameter combinations, defined as ‘stiff’ dimensions, while it is ...
• Physical-based optimization for non-physical image dehazing methods

  Vazquez-Corral, Javier; Finlayson, Graham D.; Bertalmío, Marcelo (Optical Society of America (OSA), 2020)

  Images captured under hazy conditions (e.g. fog, air pollution) usually present faded colors and loss of contrast. To improve their visibility, a process called image dehazing can be applied. Some of the most successful ...
• Model-based whole-brain effective connectivity to study distributed cognition in health and disease

  Gilson, Matthieu; Zamora-López, Gorka; Pallarés, Vicente; Adhikari, Mohit H. (MIT Press, 2020)

  Neuroimaging techniques are now widely used to study human cognition. The functional associations between brain areas have become a standard proxy to describe how cognitive processes are distributed across the brain network. ...
• Breakdown of whole-brain dynamics in preterm-born children

  Padilla, Nelly; Saenger, Victor M.; van Hartevelt, Tim J.; Fernandes, Henrique M.; Lennartsson, Finn; Andersson, Jesper L. R.; Kringelbach, Morten L.; Deco, Gustavo; Åden, Ulrika (Oxford University Press, 2019)

  The brain operates at a critical point that is balanced between order and disorder. Even during rest, unstable periods of random behavior are interspersed with stable periods of balanced activity patterns that support ...

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