Unified probabilistic modelleing of adaptive spatial temporal structures in the human brain

Research output

Research output per year 2010 2011 2012 2013 2014 2023

• 34 Article
• 6 Conference contribution
• 4 Paper
• 1 Special issue

Research output per year

Research output per year

Search results

• 2023

  Flexible structure learning under uncertainty

  Wang, R., Gates, V., Shen, Y., Tino, P. & Kourtzi, Z., 3 Aug 2023, In: Frontiers in Neuroscience. 17, 14 p., 1195388.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Uncertainty 100%
  • Learning 79%
  • Aptitude 49%
  • Statistics 28%
  • Executive Function 18%
  5 Downloads (Pure)
• 2017

  Functional brain networks for learning predictive statistics

  Giorgio, J., Karlaftis, V. M., Wang, R., Shen, Y., Tino, P., Welchman, A. & Kourtzi, Z., 18 Aug 2017, (E-pub ahead of print) In: Cortex.

  Research output: Contribution to journal › Special issue › peer-review

  Open Access

  • brain 100%
  • Statistics 91%
  • statistics 87%
  • Learning 86%
  • Brain 58%
  5 Citations (Scopus)

• Learning predictive statistics: Strategies and brain mechanisms

  Wang, R., Shen, Y., Tino, P., Welchman, A. E. & Kourtzi, Z., 30 Aug 2017, In: Journal of Neuroscience. 37, 35, p. 8412-8427 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Statistics 100%
  • Learning 94%
  • Basal Ganglia 65%
  • Brain 63%
  • Aptitude 44%
  12 Citations (Scopus)

• Learning predictive statistics from temporal sequences: Dynamics and strategies

  Wang, R., Shen, Y., Tino, P., Welchman, A. E. & Kourtzi, Z., 1 Oct 2017, In: Journal of Vision. 17, 12, p. 1-16 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Statistics 100%
  • Learning 94%
  • Markov Chains 44%
  • Motivation 26%
  • Aptitude 22%
  4 Citations (Scopus)
• 2016

  Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment

  Alahmadi, H., Shen, Y., Fouad, S., Di Bernardi Luft, C., Bentham, P., Kourtzi, Z. & Tino, P., 17 Nov 2016, In: Frontiers in Computational Neuroscience. 10, 117.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Machine Learning 100%
  • Cognitive Dysfunction 72%
  • Magnetic Resonance Imaging 58%
  • Learning 40%
  • Psychological Inhibition 18%
  9 Citations (Scopus)

  144 Downloads (Pure)
• 2015

  Learning temporal statistics for sensory predictions in mild cognitive impairment

  Luft, C. D. B., Baker, R., Bentham, P. & Kourtzi, Z., Aug 2015, In: Neuropsychologia. 75, p. 368-380

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Cognitive Dysfunction 100%
  • Alzheimer Disease 94%
  • Statistics 94%
  • Learning 89%
  • Aptitude 66%
  3 Citations (Scopus)

  147 Downloads (Pure)

• Socio-cognitive profiles for visual learning in young and older adults

  Christian, J., Goldstone, A., Kuai, S., Chin, W., Abrams, D. & Kourtzi, Z., 10 Jun 2015, In: Frontiers in Aging Neuroscience. 7, 105.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Young Adult 100%
  • Learning 90%
  • Aptitude 84%
  • Longevity 44%
  • Deep Learning 33%
  4 Citations (Scopus)

  200 Downloads (Pure)

• The benefits of modeling slack variables in SVMs

  Tang, F., Tiňo, P., Gutiérrez, P. A. & Chen, H., 19 Apr 2015, In: Neural Computation. 27, 4, p. 954-981 28 p.

  Research output: Contribution to journal › Article › peer-review

  • Support Vector Machine 100%
  • Modeling 69%
  • Natural Order 25%
  • Performance 15%
  3 Citations (Scopus)
• 2014

  Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space

  Chen, H., Tino, P. & Yao, X., 4 Aug 2014, In: Computers & Chemical Engineering. 67, p. 33-42

  Research output: Contribution to journal › Article › peer-review
  32 Citations (Scopus)

• Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network

  Quevedo, J., Chen, H., Cugueró, M. À., Tino, P., Puig, V., García, D., Sarrate, R. & Yao, X., 1 Apr 2014, In: Engineering Applications of Artificial Intelligence. 30, p. 18-29

  Research output: Contribution to journal › Article › peer-review
  19 Citations (Scopus)

• Dimensionality reduction and topographic mapping of binary tensors

  Mažgut, J., Tino, P., Bodén, M. & Yan, H., Aug 2014, In: Pattern Analysis and Applications. 17, 3, p. 497-515 19 p.

  Research output: Contribution to journal › Article › peer-review

  • Dimensionality reduction 100%
  • Tensors 91%
  • Principal component analysis 38%
  • Decomposition 22%
  • DNA 10%
  6 Citations (Scopus)

• Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection

  Chen, H., Tino, P. & Yao, X., 1 Feb 2014, In: IEEE Transactions on Neural Networks and Learning Systems. 25, 2, p. 356-369

  Research output: Contribution to journal › Article › peer-review
  31 Citations (Scopus)

• Learning in the model space for cognitive fault diagnosis

  Chen, H., Tino, P., Rodan, A. & Yao, X., 1 Jan 2014, In: IEEE Transactions on Neural Networks and Learning Systems. 25, 1, p. 124-136 13 p., 6515601.

  Research output: Contribution to journal › Article › peer-review

  • Space Simulation 100%
  • Failure analysis 55%
  • Learning 47%
  • Distance Education 18%
  • Benchmarking 14%
  68 Citations (Scopus)

• Learning the deterministically constructed Echo State Networks

  Tang, F., Tino, P. & Chen, H., 3 Sept 2014, Proceedings of the 2014 International Joint Conference on Neural Networks. Institute of Electrical and Electronics Engineers (IEEE), p. 77-83 7 p. 6889714

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Computational efficiency 100%
  • Time series 89%
  2 Citations (Scopus)

• Learning to predict : exposure to temporal sequences facilitates prediction of future events

  Baker, R., Dexter, M., Hardwicke, T. E., Goldstone, A. & Kourtzi, Z., Jun 2014, In: Vision Research. 99, p. 124-133

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Learning 100%
  • Aptitude 46%
  • Motivation 27%
  14 Citations (Scopus)

  219 Downloads (Pure)

• Ordinal regression neural networks based on concentric hyperspheres

  Gutiérrez, P. A., Tino, P. & Hervás-martínez, C., Nov 2014, In: Neural Networks. 59, p. 51-60

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Datasets 100%
  • Computer Neural Networks 82%
  • Neural networks 76%
  • Set theory 16%
  16 Citations (Scopus)

  346 Downloads (Pure)

• Spatial–temporal modelling of fMRI data through spatially regularized mixture of hidden process models

  Shen, Y., Mayhew, S. D., Kourtzi, Z. & Tino, P., 1 Jan 2014, In: NeuroImage. 84, p. 657-671

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Magnetic Resonance Imaging 100%
  • Hemodynamics 27%
  • Psychology Recognition 16%
  • Theoretical Models 15%
  • Research Design 14%
  7 Citations (Scopus)

  149 Downloads (Pure)

• Training transfers the limits on perception from parietal to ventral cortex

  Chang, D., Mevorach, C., Kourtzi, Z. & Welchman, A. E., 20 Oct 2014, In: Current Biology. 24, 20, p. 2445–2450

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Psychology Transfer 100%
  • Retinal 98%
  • Parietal Lobe 83%
  • cortex 78%
  • transcranial magnetic stimulation 63%
  23 Citations (Scopus)

  185 Downloads (Pure)
• 2013

  A Framework for the Analysis of Process Mining Algorithms

  Weber, P., Bordbar, B. & Tino, P., 1 Mar 2013, In: IEEE Transactions on Cybernetics. 43, 2, p. 303-17 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Machine learning 100%
  25 Citations (Scopus)

• A Principled Approach to Mining From Noisy Logs Using Heuristics Miner

  Weber, P., Bordbar, B. & Tino, P., 2013, Computational Intelligence and Data Mining (CIDM), 2013 IEEE Symposium on. Institute of Electrical and Electronics Engineers (IEEE), p. 119-126 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Miners 100%
  • Probability distributions 19%
  4 Citations (Scopus)

• Dissociable circuits for visual shape learning in the young and aging human brain

  Mayhew, S. D. & Kourtzi, Z., 2013, In: Frontiers in Human Neuroscience. 7, p. 75

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Learning 100%
  • Brain 66%
  • Parietal Lobe 44%
  • Young Adult 24%
  • Magnetic Resonance Imaging 20%
  9 Citations (Scopus)

• Functional neuroimaging of the interference between working memory and the control of periodic ankle movement timing

  Johannsen, L., Li, K. Z. H., Chechlacz, M., Bibi, A., Kourtzi, Z. & Wing, A. M., Sept 2013, In: Neuropsychologia. 51, 11, p. 2142-2153

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Functional Neuroimaging 100%
  • Gait 78%
  • Short-Term Memory 77%
  • Ankle 76%
  • Prefrontal Cortex 59%
  18 Citations (Scopus)

  288 Downloads (Pure)

• Incorporating privileged information through metric learning

  Fouad, S., Tino, P., Raychaudhury, S. & Schneider, P., 2013, In: IEEE Transactions on Neural Networks and Learning Systems. 24, 7, p. 1086-1098 13 p., 6488857.

  Research output: Contribution to journal › Article › peer-review

  • Learning 100%
  • Vector quantization 50%
  • Classifiers 31%
  • Experiments 16%
  47 Citations (Scopus)

• Learning optimizes decision templates in the human visual cortex

  Kuai, S., Levi, D. & Kourtzi, Z., 23 Sept 2013, In: Current Biology. 23, 18, p. 1799-1804

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • visual cortex 100%
  • Visual Cortex 80%
  • learning 69%
  • Learning 55%
  • brain 53%
  21 Citations (Scopus)

  193 Downloads (Pure)

• Mechanisms for extracting a signal from noise as revealed through the specificity and generality of task training

  Chang, D., Kourtzi, Z. & Welchman, A., 3 Jul 2013, In: The Journal of Neuroscience. 33, 27, p. 10962-10971

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Noise 100%
  • Learning 53%
  • Vision Disparity 27%
  • Cues 15%
  18 Citations (Scopus)

  170 Downloads (Pure)

• Ordinal-based metric learning for learning using privileged information

  Fouad, S. & Tino, P., 2013, Proceedings of the International Joint Conference on Neural Networks. 6706799

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Supervised learning 100%
  • Experiments 33%
  8 Citations (Scopus)

• Time-dependent series variance learning with recurrent mixture density networks

  Nikolaev, N., Tino, P. & Smirnov, E., 25 Dec 2013, In: Neurocomputing. 122, p. 501-512 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Learning 100%
  • Derivatives 55%
  • Maximum likelihood 32%
  • Time series 29%
  • Economics 21%
  3 Citations (Scopus)
• 2012

  Adaptive metric learning vector quantization for ordinal classification

  Fouad, S. & Tino, P., 2012, In: Neural Computation. 24, 11, p. 2825-2851 27 p.

  Research output: Contribution to journal › Article › peer-review

  • Quantization 100%
  • Learning 50%
  • Nominals 40%
  • Prototype 40%
  • Nonlinear Dynamics 18%
  15 Citations (Scopus)

• A Principled Approach to the Analysis of Process Mining Algorithms

  Weber, P., Bordbar, B. & Tino, P., 1 Jan 2012, Intelligent Data Engineering and Automated Learning - IDEAL 2011: 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings. Yin, H., Wang, W. & Rayward-Smith, V. (eds.). Springer, p. 474-481 8 p. (Lecture Notes in Computer Science; vol. 6936).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Model structures 100%
  • Flow control 91%
  • Industry 41%
  2 Citations (Scopus)

• Degree distribution and scaling in the connecting-nearest-neighbors model

  Rudolf, B., Markosova, M., Cajagi, M. & Tino, P., 1 Feb 2012, In: Physical Review E (Statistical, Nonlinear, and Soft Matter Physics). 85, 2, p. 026114 1 p.

  Research output: Contribution to journal › Article

  • scaling 100%
  • random walk 38%
  • exponents 27%
  9 Citations (Scopus)

• Improving Generalization Performance in Co-Evolutionary Learning

  Chong, SY., Tino, P., Ku, DC. & Yao, X., 1 Feb 2012, In: IEEE Transactions on Evolutionary Computation. 16, 1, p. 70-85 16 p.

  Research output: Contribution to journal › Article

  • Evolutionary Learning 100%
  • Game 41%
  • Performance 30%
  • Strategy 28%
  • Testing 26%
  34 Citations (Scopus)

• Learning Acts on Distinct Processes for Visual Form Perception in the Human Brain

  Mayhew, S., Li, S. & Kourtzi, Z., 1 Jan 2012, In: The Journal of Neuroscience. 32, 3, p. 775-786 12 p.

  Research output: Contribution to journal › Article

  • Form Perception 100%
  • Visual Perception 78%
  • Learning 46%
  • Brain 31%
  • Psychology Recognition 28%
  24 Citations (Scopus)

• Learning shapes spatiotemporal brain patterns for flexible categorical decisions

  Li, S., Mayhew, S. D. & Kourtzi, Z., Oct 2012, In: Cerebral Cortex. 22, 10, p. 2322-35 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Learning 100%
  • Brain 66%
  • Aptitude 30%
  • Electroencephalography 19%
  • Decision Making 18%
  14 Citations (Scopus)

• Learning using privileged information in prototype based models

  Fouad, S., Tino, P., Raychaudhury, S. & Schneider, P., 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 7553 LNCS. p. 322-329 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7553 LNCS, no. PART 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Prototype 100%
  • Learning 83%
  • Knowledge 69%
  • Pattern Analysis 45%
  • Galaxies 42%
  8 Citations (Scopus)

• Prototype based modelling for ordinal classification

  Fouad, S. & Tino, P., 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7435 LNCS. p. 208-215 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7435 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning Vector Quantization 100%
  • Vector quantization 73%
  • Prototype 72%
  • Modeling 42%
  • Categorical or nominal 39%
  2 Citations (Scopus)
• 2011

  A framework for comparing process mining algorithms

  Weber, P., Bordbar, B., Tino, P. & Majeed, B., 22 Feb 2011, p. 625-628. 4 p.

  Research output: Contribution to conference (unpublished) › Paper › peer-review
  13 Citations (Scopus)

• Ice Shape Characterization Using Self-Organizing Maps

  McClain, ST., Tino, P. & Kreeger, RE., 1 Mar 2011, In: Journal of Aircraft. 48, 2, p. 724-730 7 p.

  Research output: Contribution to journal › Article
  9 Citations (Scopus)

• Minimum Complexity Echo State Network

  Rodan, A. & Tino, P., 1 Jan 2011, In: IEEE Transactions on Neural Networks. 22, 1, p. 131-144 14 p.

  Research output: Contribution to journal › Article

  • Space Simulation 100%
  • Benchmarking 70%
  • Short-Term Memory 61%
  • Memory 47%
  • Research Personnel 45%
  350 Citations (Scopus)

• Neural representations for object perception:structure, category and adaptive coding

  Kourtzi, Z. & Connor, E., 1 Jan 2011, In: Annual Review of Neuroscience. 34, p. 45-67

  Research output: Contribution to journal › Article

  • Visual Cortex 100%
  • Neurosciences 50%
  • Primates 44%
  • Publications 39%
  • Statistics 36%
  109 Citations (Scopus)

• One-Shot Learning of Poisson Distributions in Serial Analysis of Gene Expression

  Tino, P., Liu, D., Zhang, H., Polycarpou, M., Alippi, C. & He, H., 1 Jan 2011, p. 37-46. 10 p.

  Research output: Contribution to conference (unpublished) › Paper

• Searching for Coexpressed Genes in Three-Color cDNA Microarray Data Using a Probabilistic Model-Based Hough Transform

  Tino, P., Hongya, Z. & Yan, H., 1 Jul 2011, In: IEEE - ACM Transactions on Computational Biology and Bioinformatics. 8, 4, p. 1093-1107 15 p.

  Research output: Contribution to journal › Article

  • CDNA Microarray 100%
  • Hough Transform 91%
  • Microarray Data 74%
  • Hough transforms 67%
  • Probabilistic Model 66%
  5 Citations (Scopus)

• Time-Dependent Series Variance Estimation via Recurrent Neural Networks

  Nikolaev, N., Tino, P., Smirnov, E., Honkela, T., Duch, W., Girolami, M. & Kaski, S., 1 Jan 2011, p. 176-184. 9 p.

  Research output: Contribution to conference (unpublished) › Paper
  2 Citations (Scopus)
• 2010

  Does Money Matter in Inflation Forecasting?

  Binner, JM., Tino, P., Tepper, J., Anderson, R., Jones, B. & Kendall, G., 1 Nov 2010, In: Physica A: Statistical Mechanics and its Applications. 389, 21, p. 4793-4808 16 p.

  Research output: Contribution to journal › Article
  17 Citations (Scopus)

• Multilinear Decomposition and Topographic Mapping of Binary Tensors

  Mazgut, J., Tino, P., Boden, M., Yan, H., Diamantaras, K., Duch, W. & Iliadis, LS., 1 Jan 2010, p. 317-326. 10 p.

  Research output: Contribution to conference (unpublished) › Paper
  2 Citations (Scopus)

• Uncovering Delayed Patterns in Noisy and Irregularly Sampled Time Series: An Astronomy Application

  Cuevas-Tello, JC., Tino, P., Raychaudhury, S., Yao, X. & Harva, M., 1 Mar 2010, In: Pattern Recognition. 43, 3, p. 1165-1179 15 p.

  Research output: Contribution to journal › Article

  • Astronomy 100%
  • Time series 64%
  • Time delay 61%
  • Evolutionary algorithms 34%
  • Astrophysics 27%
  13 Citations (Scopus)