Emili Balaguer-Ballester

Dr Emili Balaguer-Ballester

  • Associate Professor In Computational Neuroscience
  • Poole House P303b, Talbot Campus, Fern Barrow, Poole, BH12 5BB
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Biography

My expertise stands at the interface between Computational Neuroscience and Machine Learning (neural dynamics reconstruction, ensemble modelling, data-driven model discovery, auditory system models) through collaborations with human and animal neurophysiology labs. I actively co-champion the Interdisciplinary Neuroscience Research Centre at Bournemouth University. I have been an Associate Professor for Bournemouth University since 2017 (Senior Lecturer/Lecturer, 2012-2017), Editor of Plos Computational Biology and Frontiers in Computational Neuroscience, and a Senior Fellow of the Higher Education Academy. I was a project leader at the Bernstein Centre for Computational Neuroscience Heidelberg-Mannheim (2008-2012) at Durstewitz lab, a Postdoc at Denham lab (Plymouth 2005-2008), and a research fellow of the Spanish Science Ministry (2001-2005). My PhD dissertation (2001, University of Valencia) received the Culture Institute ‘Juan Gil-Albert’ (Spain) prize.

Research

My research directions include:

o Cortical network dynamics in-vivo and in-vitro, in collaboration with Maria Victoria Sanchez-Vives (IDIBAPS, University of Barcelona) and Maurizio Mattia (ISS, Rome). Previously, I worked with Daniel Durstewitz (Heidelberg University), Ruben Moreno-Bote (Universitat Pompeu Fabra), Christopher Lapish (Indiana Purdue University), Jeremy Seamans (University of British Columbia) and James Hyman (University of Nevada). In our projects, we develop approaches for understanding the neuronal dynamics underlying spontaneous and elicited cortical activity states. These are fundamental questions in neuroscience which, in addition, provide the basis for discerning physiological from altered brain dynamics.

o Modelling mesoscopic responses of the human auditory cortex during pitch perception. In this area, I collaborate with Andre Rupp (Heidelberg University) and Sue Denham (Plymouth University); and previously with Ray Meddis (Essex University) and Katrin Krumbholz (University of Nottingham). We focused on the analysis of bi-directional interactions in pitch processing using MEG recordings. These foundation projects are helpful, for instance, for a future better understanding of auditory processing disorders.

o Multidisciplinary projects on higher-order cognition include studies on emotional and immersive sates in VR in collaboration with Ellen Seiss, Xun He and Fred Charles (Bournemouth University); Jesus Barcias and Aris Michailidis (Sony London), Ifigeneia Mavridou and Charles Nduka (Emteq, Brighton)...

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Favourites

Journal Articles

Books

  • Metastable Dynamics of Neural Ensembles. Lausanne: Frontiers Media.
  • Balaguer-Ballester, E., 2014. Prediction of surface ozone concentrations in Valencia Community using linear models and neural networks. Valencia: Universty of Valencia Press.

Chapters

  • Michailidis, L., Lucas Barcias, J., Charles, F., He, X. and Balaguer-Ballester, E., 2019. Combining Personality and Physiology to Investigate the Flow Experience in Virtual Reality Games. In: Stephanidis, C., ed. HCI International 2019. Berlin: Springer, 45-52.
  • Mavridou, I., Seiss, E., Kostoulas, T., Nduka, C. and Balaguer-Ballester, E., 2018. Towards an effecve arousal detecon system for virtual reality.
  • Mavridou, I., Seiss, E., Hamedi, M., Balaguer-Ballester, E.M.I.L.I. and Nduka, C., 2018. Towards valence detection from EMG for Virtual Reality applications. ICDVRAT.
  • Sharpee, T.O., Balaguer-Ballester, E. et al., 2016. 25th Annual Computational Neuroscience Meeting: CNS-2016. 54.
  • Tabas, A., Rupp, A. and Balaguer-Ballester, E., 2016. Competition between cortical ensembles explains pitch-related dynamics of auditory evoked fields. 314-321.
  • Tabas, A., Balaguer-Ballester, E. and Rupp, A., 2015. A realistic model of pitch explains the N100m morphology evoked by dyads. P213.
  • Tabas-Diaz, A., Balaguer-Ballester, E., Pressnitzer, D., Siebert, A. and Rupp, A., 2014. Hierarchical Processing of Temporal Asymmetry in Human Auditory Cortex. Pattern Recognition in Neuroimaging. IEEE Conference Publishing Services, In press.
  • Tabas, Igual, L. and Balaguer-Ballester, E., 2014. Spatial Discriminant ICA for RS-fMRI characterisation. Pattern Recognition in Neuroimaging Conference 2014. IEEE XPLore Publications.
  • Tabas, A., Balaguer-Ballester, E., Pressnitzer, D., Siebert, A. and Rupp, A., 2014. Hierarchical processing of temporal asymmetry in human auditory cortex.
  • Balaguer-Ballester, E., 2013. Nonlinear Time Series Analyses in Industrial Environments and Limitations for Highly Sparse Data. Smart Innovation, Systems and Technologies. Springer.
  • Balaguer-Ballester E., Bouchachia, H, Jiang, B. and Denham, SL, 2012. Neurodynamical Top-Down Processing during Auditory Attention. Lecture Notes in Computer Science. Springer, In press.
  • Denham, M., 2010. Neurocomputational models of perceptual organization. In ’Unconscious memory representations in perception: Processes and mechanisms in the brain’ in the series ‘Advances in Consciousness’, Winkler, I. and Czigler, I., Eds. John Benjamin’s, NY.
  • Denham, M., 2010. Neurocomputational models of perceptual organization. John Benjamin’s, NY.
  • Balaguer-Ballester, E., Clark, N., Coath, M., Krumbholz, K. and Denham, S. L., 2010. Understanding pitch perception as a hierarchical process with feedback modulation. Auditory Physiology, Perception and Models. Springer, NY.
  • Martín-Guerrero, J., Balaguer-Ballester, E., Camps-Valls, G., Palomares, A., Serrano-López, A., Gómez-Sanchís, J. and Soria-Olivas, E., 2004. Machine learning methods for one-session ahead prediction of accesses to page categories. Lecture Notes in Computer Science, Springer, 421-445.
  • Martín-Guerrero, J., 2003. A pseudo-supervised approach to improve a recommender based on collaborative filtering. Springer, 145.
  • Balaguer-Ballester, S., 2001. Prediction of surface ozone concentrations 24 hours in advance using neural networks. In ‘Advances in Neural Networks and Applications’. WSES press, NY.

Conferences

  • Dimanov, D., Singleton, C., Rostami, S. and Balaguer-Ballester, E., 2024. RAMOSS - Resource Aware Multi-Objective Semantic Segmentation Through Neuroevolution. ADVANCES IN COMPUTATIONAL INTELLIGENCE SYSTEMS, UKCI 2022, 1454, 526-538.
  • Dimanov, D., Singleton, C., Rostami, S. and Balaguer-Ballester, E., 2023. MEOW: - Automatic Evolutionary Multi-Objective Concealed Weapon Detection. Proceedings of Machine Learning Research, 228.
  • Gnacek, M., Mavridou, I., Broulidakis, J., Nduka, C., Balaguer-Ballester, E., Kostoulas, T. and Seiss, E., 2022. AVDOS-Affective Video Database Online Study Video database for affective research emotionally validated through an online survey. 2022 10th International Conference on Affective Computing and Intelligent Interaction, ACII 2022.
  • Gnacek, M., Seiss, E., Kostoulas, T., Balaguer-Ballester, E., Mavridou, I. and Nduka, C., 2021. Remote Collection of Physiological Data in a Virtual Reality Study. In: CHI 21 15-16 May 2021 XR Remote Research Workshop.
  • Dimanov, D., Balaguer-Ballester, E., Rostami, S. and Singleton, C., 2021. MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders. In: ICLR2021,2nd Workshop on Neural Architecture Search (NAS 21). 7 May 2021 Online.
  • Arango, R., Mateos-Aparicio, P., Sanchez-Vives, M.V. and Balaguer-Ballester, E., 2021. Emergence and propagation of asynchronous states of spontaneous cortical activity. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 49 (SUPPL 1), S33-S34.
  • Balaguer-Ballester, E., Nogueira, R., Abolafia, J.M., Moreno-Bote, R. and Sanchez-Vives, M.V., 2021. Stability and predictability code in higher-order neuronal correlations. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 49 (SUPPL 1), S164.
  • Gnacek, M., Garrido-Leal, D., Nieto Lopez, R., Seiss, E., Kostoulas, T., Balaguer-Ballester, E., Mavridou, I. and Nduka, C., 2020. Heart rate detection from the supratrochlear vessels using a virtual reality headset integrated PPG sensor. ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction, 210-214.
  • Arango, R., Mateos-Aparicio, P., Perez-Mendez, L., Sanchez-Vives, M.-V. and Balaguer-Ballester, E., 2020. Inference of the stability of global states in cortical networks. In: Barcelona Computational, Cognitive and Systems Neuroscience 15-16 July 2017 Barcelona.
  • Heydari, M., Mylonas, A., Katos, V., Balaguer-Ballester, E., Altaf, A. and Tafreshi, V.H.F., 2020. Uncertainty-aware authentication model for IoT. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11980 LNCS, 224-237.
  • Heydari, M., Mylonas, A., Katos, V., Balaguer-Ballester, E., Tafreshi, V.H.F. and Benkhelifa, E., 2019. A Location-Aware Authentication Model to Handle Uncertainty in IoT. 2019 6th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2019, 43-50.
  • Mavridou, I., Seiss, E., Kostoulas, T., Hamedi, M., Balaguer-Ballester, E. and Nduka, C., 2019. Introducing the EmteqVR Interface for Affect Detection in Virtual Reality. 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019, 83-84.
  • Mavridou, I., Seiss, E., Balaguer-Ballester, E., Kostoulas, T. and Perry, M., 2019. Emerging Affect Detection Methodologies in VR and future directions. In: VRIC 20-22 March 2019 Laval, France.
  • Arango, R., Mateos-Aparicio, P., Sanchez-Vives, M.V. and Balaguer-Ballester, E., 2019. Propagating Densities of Spontaneous Activity in Cortical Slices. In: The 28th Computational Neuroscience Conference (CNS) 13-17 July 2019 Barcelona.
  • Heydari, M., Mylonas, A., Katos, V., Balaguer-Ballester, E., Tafreshi, V.H.F. and Benkhelifa, E., 2019. Uncertainty-aware authentication model for fog computing in IoT. 2019 4th International Conference on Fog and Mobile Edge Computing, FMEC 2019, 52-59.
  • Michailidis, L., Lucas Barcias, J., Charles, F., He, X. and Balaguer-Ballester, E., 2019. Combining Personality and Physiology to Investigate the Flow Experience in Virtual Reality Games. Communications in Computer and Information Science, 1033, 45-52.
  • Michailidis, L., Barcias, J.L., Balaguer-Ballester, E. and He, X., 2018. Bringing Tower Defense into the physiological study of flow in virtual reality. In: EuroVR 2018 22-23 October 2018 London, UK.
  • Arango, R., Mateos-Aparicio, P., Sanchez-Vives, M.V. and Balaguer-Ballester, E., 2018. Identifying Propagation Modes of Spontaneous Activity in Cortical Slices. In: Bernstein computational Neuroscience Conference 25-28 September 2018 Berlin.
  • Arango, R., Mateos-Aparicio, P., Sanchez-Vives, M.V. and Balaguer-Ballester, E., 2018. Transient Dynamics of Cortical Networks Underpinning Slow Oscillations. In: Analysis and Modeling of Complex Oscillatory Systems Conference (AMCOS) 19 March 2020-23 March 2018 Barcelona.
  • Fatoorechi, M., Archer, J., Nduka, C., Seiss, E., Balaguer-Ballester, E., Mavridou, I., Hamedi, M. and Cleal, A., 2017. Using facial gestures to drive narrative in VR. SUI 2017 - Proceedings of the 2017 Symposium on Spatial User Interaction, 152.
  • Mavridou, I., McGhee, J.T., Hamedi, M., Fatoorechi, M., Cleal, A., Ballaguer-Balester, E., Seiss, E., Cox, G. and Nduka, C., 2017. FACETEQ interface demo for emotion expression in VR. Proceedings - IEEE Virtual Reality, 441-442.
  • Mavridou, I., McGhee, J.T., Hamedi, M., Fatoorechi, M., Cleal, A., Balaguer-Ballester, E., Seiss, E., Cox, G. and Nduka, C., 2017. FACETEQ; a novel platform for measuring emotion in VR. ACM International Conference Proceeding Series.
  • Tabas, A., Andermann, M., Sebold, V., Balaguer-Ballester, E. and Rupp, A., 2016. Mean-field model of auditory cortex explains the differences in neuromagnetic fields evoked by dissonant and consonant dyads. In: Bernstein Computational Neuroscience Conference 20 September-23 August 2016 Berlin.
  • Tabas, A., Rupp, A. and Balaguer-Ballester, E., 2016. Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields. In: 25th Computational Neuroscience Conference CNS2016 2-7 July 2016 Jeju, South Korea.
  • Avendaño Diaz, J., He, X., Miellet, S., Balaguer-Ballester, E. and Zeng, B., 2016. Bringing objects to life: examining the joint Simon effect with a social-related priming manipulation. In: 6th IMPRS NeuroCom Summer School 4-6 July 2016 Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
  • Mavridou, I., Troisi, A., Seiss, E., Renaud, A. and Balaguer-Ballester, E., 2016. Experience Design for Emotional Stimulation in Virtual Reality. In: Virtual Reality World Congress 12-15 April 2016 Bristol.
  • Tabas-Diaz, A., Balaguer-Ballester, E. and Rupp, A., 2015. A realistic model of pitch perception explains the N100m morphology evoked by chords. In: 24th Computational Neuroscience Conference CNS2015 17-23 July 2015 Prague.
  • Tabas, A., Balaguer-Ballester, E. and Rupp, A., 2015. Understanding cortical processing of pitch as a frequency-selective inhibitory process. In: Bernstein Computational Neuroscience Conference 2015 13-17 September 2015 Heidelberg.
  • Tabas, A., Rupp, A. and Balaguer-Ballester, E., 2015. A cortical ensemble model of pitch perception. In: Neural Coding, Computation and Dynamics Workshop 30 August 2015-2 September 2016 Bilbao, Spain.
  • Tabas-Diaz, A., Balaguer-Ballester, E. and Rupp, A., 2015. A realistic model of neural ensembles reveals a harmonic connectivity structure underlying pitch processing. In: Integrated Systems Neuroscience Workshop 23 March-24 September 2015 Machester.
  • Balaguer-Ballester, E., Tabas, A. and Budka, M., 2014. Attracting Dynamics, non-stationarity and trial-to-trial variability in frontal ensemble recordings. In: Bernstein Computational Neuroscience Conference 2014 2-5 September 2014 Tubingen.
  • Tabas, A., Balaguer-Ballester, E. and Rupp, A., 2014. Hierarchical Processing of Auditory Asymmetry. In: AREADNE. Research in Encoding and Decoding of Neural Ensembles 25-29 June 2014 Nomikos Conference Centre, Santorini, Greece.
  • Bouchachia, H. and Balaguer-Ballester, E., 2014. DELA: Dynamic Online Ensemble Learning. In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 23-25 April 2014 Burges, Belgium.
  • Balaguer-Ballester, E., Tabas-Diaz, A. and Budka, M., 2014. Empirical identification of non-stationary dynamics in time series of recordings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8779 LNAI, 142-151.
  • Bouchachia, A. and Balaguer-Ballester, E., 2014. DELA: A dynamic online ensemble learning algorithm. 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings, 491-496.
  • Balaguer-Ballester, E., 2012. Nonlinear Time Series Analyses in Industrial Environments and Limitations for Highly Sparse Data. IK2012, Bournemouth 19-20th April, 2012. Oral Communication..
  • Bernal-Casas, P., 2012. Dynamical causal modeling reveals modulation of prefrontal-hippocampal connectivity by a genomewide significant schizophrenia variant. FENS conference, 14-16 July 2012, Barcelona. Poster..
  • Balaguer-Ballester, E., Lapish, C.C., Seamans, J.K. and Durstewitz, D., 2011. Attracting states in anterior cingulate cortex populations associated with decision making: Altered dynamics when targeting dopamine system with d-Amphetamine. Bernstein Computational Neuroscience Conference, 4-6 October 2011, Freiburg, Germany. Poster..
  • Balaguer-Ballester, E., Lapish, C., Seamans, J. and Durstewitz, D., 2011. Attracting states in frontal cortex networks associated with working memory and decision making. BMC Neuroscience, 12, P82 BioMed Central Ltd.
  • Balaguer-Ballester, D., 2011. Attracting States in Frontal Cortex Networks Associated with Decision Making: Dopamine Modulation. Bernstein Symposium: Bayesian Inference: From Spikes to Behaviour, December 9-11 2011, Tubingen, Germany. Poster..
  • Balaguer-Ballester, D., 2011. Balaguer-Ballester, E., Lapish, C., Seamans, J. and Durstewitz, D. 2011. Attracting states in anterior cingulate cortex populations associated with decision making: Altered dynamics when targeting dopamine system with d-Amphetamine. Bernstein Computational Neuroscience Conference, 4-6 October, Freiburg, Germany. Poster..
  • Balaguer-Ballester, E., Lapish, C.C., Seamans, J.K. and Durstewitz, D., 2011. Attracting states in anterior cingulate cortex populations associated with decision making: Altered dynamics when targeting dopamine system with d-Amphetamine. Bernstein Computational Neuroscience Conference, 4-6 October 2011, Freiburg, Germany. Poster..
  • Balaguer-Ballester, E., Lapish, C., Seamans, J. and Durstewitz, D., 2011. Attracting states in frontal cortex networks associated with working memory and decision making. BMC Neuroscience, 12, P82 BioMed Central Ltd.
  • Demanuele C, D., Balaguer-Ballester, E. and Durstewitz, D., 2011. Bernstein Center for Computational Neuroscience Heidelberg/Mannheim: From Genes to Behavior. In: Nobel Laureates Conference Lindau 2011 26 June-1 July 2011 Lindau, Germany. 61th Lindau Nobel Laureate Meetings, 26 June to 1st July, 2011, Lindau, Germany..
  • Balaguer-Ballester, D., 2010. Attracting Dynamics of Anterior Cingulate Cortex During Memory-Guided Decision-Making: Identification of Network Dynamics when Targeting Dopamine System. 1st Prefrontal Cortex Workshop, Vancouver, Canada. Oral communication..
  • Balaguer-Ballester, Lapish, Seamans, Durstewitz, E.C.J.D., 2010. Identifying Attracting Dynamics of Cortical Populations During Decision-Making Tasks. In: Bernstein Computational Neuroscience Conference 27 September-1 October 2011 Freiburg, Germany. Bernstein Computational Neuroscience Conference, 27 Sept- 1 October, Berlin, Germany. Oral communication..
  • Balaguer-Ballester, E., Lapish, C.C., Seamans, J.K. and Durstewitz, D., 2009. Characterizing multiple-unit activity in the anterior cingulate cortex during choice behavior as a stochastic nonlinear process. BMC Neuroscience, 10, 1-2 Springer.
  • Hyman, J., Balaguer-Ballester, E., Seamans, D. and Durstewitz, D., 2009. A Prefrontal Cortex Network Representation of Mental Set in Rats. In: Abst. Soc. Neuroscience 1-5 October 2009 Chicago. Abst. Soc. Neuro. 579.9: Chicago, IL..
  • Hyman, J.K., Balaguer-Ballester, E., Semans, J. and Durstewitz, D., 2009. Does the Prefrontal Cortex perform a Behaviorally Specific Function? An Analysis of Firing Statistics across PFC-Dependent and –Independent tasks. In: Meeting of the Society for Neuroscience 1-3 October 2009 Chicago. Abst. Soc. Neuro. 579.2: Chicago, IL..
  • Balaguer-Ballester, E., Coath, M., Denham, S.L., Clark, N.R. and Krumbholz, K., 2008. Understanding pitch perception as a top-down hierarchical process. 1st Local-Area Systems and Theoretical Neuroscience Meeting. UCL, London, 8 July 2008. Oral communication, 13, 27.
  • Balaguer-Ballester, S.L., 2008. Understanding Pitch Perception as a Multi-Scale Hierarchical Generative Process. 1st Local-Area Systems and Theoretical Neuroscience Meeting. UCL, London, 8 July 2008. Oral communication..
  • Balaguer-Ballester, S.L., 2008. Understanding Pitch Perception as a Hierarchical Generative Process. Meeting of the British Society of Audiology, September 18th – 19th 2008 , York, U.K. Poster. In International Journal of Audiology..
  • Balaguer-Ballester, B. and Denham, S.L., 2008. Modelling Medial Efferent Suppression by Focused Auditory Attention. Meeting of the British Society of Audiology, September 18th – 19th 2008, York, U.K. Poster. In International Journal of Audiology..
  • Balaguer-Ballester, E., Denham, S.L. and Meddis, R., 2007. Temporal Method for Perceptual Fusion in Pitch Perception. Fifteenth Annual Computational Neuroscience Meeting CNS*2006,July 16th -20th 2006 Edinburgh, Scotland, UK. Poster. Proceedings, pp. 32-33..
  • Balaguer-Ballester E Coath, M. and Denham, S.L., 2007. A Hierarchical Firing-Rate Model of Temporal Integration in Pitch Perception. Coherent Behavior in Neural Networks, October 17th – 20th 2007, Palma de Majorca, Spain. Poster..
  • Denham, M. and Balaguer-Ballester, E., 2007. Sparse Time-Frequency Representations in Auditory Processing. 19th Int. Congress on Acoustics. Madrid, 2-7 Sept., 2007. Oral communication..
  • Balaguer Ballester, M. and Denham, S.L., 2007. Spike Probability Models for Perceptual fusion and Temporal Integration in Pitch Perception. 4th Christmas Meeting, Neuroscience Institute of Alicante. 20-21 Dec. 2007. Oral communication..
  • Martín-Guerrero, J.D., Soria-Olivas, E., Lisboa, P.J.G., Palomares, A., Balaguer-Ballester, E. and Bannister, F., 2006. User Profiling from Citizen Web Portal Accesses using the Adaptive Resonance Theory Neural Network. IADIS, San Sabastian, Spain, 334-337.
  • Balaguer-Ballester, E. and Denham, S., 2006. Unified temporal method for perceptual fusion and pitch perception. Fifteenth annual computational neuroscience meeting CNS, 31-32.
  • Balaguer-Ballester, E., Meddis, R. and Denham, SL, 2006. A Synchronized Autocorrelation Model accounts for Pure Temporal Pitch. . Meeting of the British Society of Audiology, September 14th – 15th 2006 , Cambridge, U.K. Oral communication. In International Journal of Audiology, Volume 46, Issue 10 October 2007 , pp. 619 - 658..
  • Gomez-Perez, G., Martín-Guerrero, J.D., Soria-Olivas, E., Balaguer-Ballester, E., Palomares, A., Casariego, N. and Paglialunga, D., 2005. An approach based on reinforcement learning and self-organizing maps to design a marketing campaign. 2nd International Conference on Machine Intelligence ACIDCA-ICMI 2005, 259-265.
  • Soriano-Asensi, A., Mart in-Guerrero, J.D., Soria-Olivas, E., Palomares, A. and Balaguer-Ballester, E., 2005. Analysing a web portal usage by using the Growing Grid algorithm. . 2nd ACIDCA-ICMI International Conference on Machine Intelligence. 16-18 Nov., 2005, Tozeur, Tunisia., 427-433.
  • Martin-Guerrero, J.D., Lisboa, P.J.G., Soria-Olivas, E., Palomares, A., Balaguer-Ballester, E., Serrano-López, A.J. and Camps-Valls, G., 2005. Improving Infoville XXI using Machine Learning techniques. In: Workshop on Machine Learning for User Modeling 24-25 June 2005 Edinburgh, Scotland. Workshop on Machine Learning for User Modeling: Challenges. 10th International Conference on User Modelling. Workshop Machine learning for user modelling: challenges. 24-25 Jun., 2005, Edinburgh, Scotland, UK. Oral communication., 35-42.
  • Soriano-Asensi, A., Mart in-Guerrero, J.D., Soria-Olivas, E., Palomares, A. and Balaguer-Ballester, E., 2005. Analysing a web portal usage by using the Growing Grid algorithm. . 2nd ACIDCA-ICMI International Conference on Machine Intelligence. 16-18 Nov., 2005, Tozeur, Tunisia., 427-433.
  • Mart in-Guerrero, J.D., Lisboa, P.J.G., Soria-Olivas, E., Palomares, A., Balaguer-Ballester, E., Serrano-López, A.J. and Camps-Valls, G., 2005. Improving Infoville XXI using Machine Learning techniques. Workshop on Machine Learning for User Modeling: Challenges. 10th International Conference on User Modelling. Workshop Machine learning for user modelling: challenges. 24-25 Jun., 2005, Edinburgh, Scotland, UK. Oral communication., 35-42.
  • Gómez-Pérez, D., Balaguer-Ballester, E., Martin-Guerrero, J.D., Palomares-Chust, A. and Soria-Olivas, E., 2005. Aggregating states using the Self-Organizing Map in a marketing application. In: 7th European Workshop on Reinforcement Learning 20-21 October 2005 Napoli. 7th European Workshop on Reinforcement Learning, 20th-21st October 2005. Naples (Italy), Proceedings., 6-7.
  • Martín-Guerrero, J., 2003. A pseudo-supervised approach to improve a recommender based on collaborative filtering. User Modeling 2003, 145 Springer.
  • C Fernández, M.N., Balaguer-Ballester, E. and et al., 2002. Exposure Criteria Evaluation of EMECAS Project. In: Meeting of Spanish Society of Epidemiology and Health: epidemiological perspective 12-14 September 2002 Madrid. Meeting of Spanish Society of Epidemiology and Health: epidemiological perspective, 22-23.
  • Balaguer-Ballester, E., Lapish, C., Seamans, J. and Durstewitz, D.. Attracting states in frontal cortex networks associated with working memory and decision making. In: 19th Annual Computational Neuroscience Meeting CNS*2011; July 23-28, 2011, Stockholm, Sweden. Poster. 2011.

Theses

  • Kawshika Fernando, E., 2022. Time series analysis prediction of spontaneous cortical activity in brain slices in vitro using classical time series models, long short-term memory (LSTM) and Gated Recurrent Unit (GRU). Master's Thesis. Department of Computing & Informatics, Bournemouth University.

Preprints

  • Camps-Valls, G., Gerhardus, A., Ninad, U., Varando, G., Martius, G., Balaguer-Ballester, E., Vinuesa, R., Diaz, E., Zanna, L. and Runge, J., 2023. Discovering Causal Relations and Equations from Data.
  • Shan, H., Moreno-Bote, R. and Drugowitsch, J., 2019. Family of closed-form solutions for two-dimensional correlated diffusion processes.
  • Drugowitsch, J., 2013. Variational Bayesian inference for linear and logistic regression.

PhD Students

  • Daniel Todorov Dimanov. Automatic Multi-Objective Neuroevolutionary Optimization for Computer Vision, (In progress)
  • Michal Gnacek. Detection of presence and immersion breaking events in Virtual Reality, (In progress)
  • Ogochuwvku Izege. Structural equation modelling of quality of life., (In progress)
  • Roman Arango. Emergence of Asynchronous Activity in Confined Cortical Networks, (In progress)
  • Amir Rafati-Afshar, 2016. Classification algortithms for extremely unbalanced data, (Completed)
  • Alejandro Tabas, 2017. Mesoscopic dynamics of pitch processing in human auditory cortex, (Completed)
  • Mohsen Amiribesheli, 2017. Smart homes for people with dementia, (Completed)
  • Rebecca Elisa, 2017. Attention Deficit/Hyperactivity Disorder and the Function of the Locus Coeruleus-Norepinephrine System, (Completed)
  • Saad Mohamad, 2017. Active Learning for Data Streams, (Completed)
  • Bassma Al-Jubouri, 2018. Local Learning for Multi-layer, Multi-component Predictive System., (Completed)
  • Gizem Arabaci, 2019. Trait inattention and goal maintenance, (Completed)
  • Jamil Waqas, 2020. Competitive Online Regression., (Completed)
  • Juan Camilo Avdeano Diaz, 2020. Interpersonal influences in human visuospatial attention: from behaviour to EEG, (Completed)
  • Mohammad Heydari Fami Tafreshi, 2020. Indeterminacy-Aware Prediction Model for Authentication in IoT, (Completed)
  • Ifigeneia Mavridou, 2021. Affective State Recognition in Virtual Reality from Electromyography and Heart-rate Changes using Head-mounted Wearable Sensors., (Completed)
  • Lazaros Michailidis, 2021. Uncovering the physiological correlates of the flow experience in virtual reality games, (Completed)

Profile of Teaching PG

  • Reconstruction of neurocognitive dynamics from limited neural recordings (Bernstein Centre for Computational Neuroscience, University of Heidelberg. Doctorate Level/L7, 2010-2012)
  • Analytics for Data Streams (Level 7, 2014-2019)
  • Applied Data Analytics/Data Science and AI master's projects supervision (Level 7, 2014-now)
  • Neuronal Analysis (Leve 7, 2019-now)

Profile of Teaching UG

  • Systems Design (Level 5, 2012-now)
  • Machine Intelligence (Level 6, 2014-2019)
  • Final year projects supervision BSc in Computing (Level 6, 2012-now)

Grants

  • Validating Cortical Network Models at the Edge of Asynchrony (Royal Society, 01 Apr 2022). In Progress
  • Neuromorphic Hardware Operating at the Edge of Asynchrony (Human Brain Project (ERC), 01 Mar 2022). In Progress
  • Propagation of Activity in Cortical Networks at the Edge of Asynchrony (Human Brain Project partnering project-IDIBAPS-BU, 03 Mar 2017). Completed
  • Research award funding travels to the Department of Neurology, University of Heidelberg. (Santander Bank, 01 Sep 2016). Completed
  • Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions (IDIBAPS Barcelona and BU, 05 Jul 2016). Completed
  • Analytical Agent Technology for Complex and Dynamically Evolving Environments (Ecole des Mines, Douai, France -BU, 02 Jan 2014). Completed
  • How Cultural Background Influences Sound Processing in Auditory Cortex (BU-DEC-Heidelberg University, 01 Oct 2013). Completed
  • Attention Deficit/Hyperactivity Disorder and the Function of the Locus Coeruleus-Norepinephrine (BU, 01 Oct 2013). Completed
  • Adapted Home Environments for People with Dementia (BU, 15 Sep 2013). Completed
  • Policy Optimisation Strategy to Maximize Customer’s Lifetime Value using Neurodynamic Programming (Spanish Ministry of Science and Technology., 02 Jan 2004). Completed
  • Intelligent and integral management of Incidences Control Center: application to Critical Public Services (Spanish Ministry of Science and Technology, 02 Jan 2004). Completed
  • Neurodynamic programming and Reinforcement Learning for the Control of Users Navigation in Advanced Public Services Web Portals (Generalitat Valenciana (Local Authorities, Spain)., 02 Jan 2003). Completed
  • On-Line Analyses of Anonymous Users using Kernel Hierarchical Clustering (Spanish Ministry of Science and Technology., 02 Jan 2003). Completed

Qualifications

  • SFHEA in Senior Fellow of the Higher Education Academy (HEA UK, 2020)
  • HEA Fellow in HEA Fellow (2017)
  • MSc in Neuroscience and Biology of Behaviour (University of Seville, 2004)
  • PhD in Physics (Cum Laude, Honours) (Physics Department, University of Valencia (Spain), 2001)
  • MSc in Theoretical Physics (University of Valencia, 1997)

Honours

  • PhD thesis award (Culture Institute “Juan Gil-Albert”, Diputación Provincial de Alicante, Spain, 2001)

Memberships