Personalised Medicine through Learning in the Model Space

Research output

Research output per year 2014 2014 2017 2018

• 24 Article
• 5 Conference contribution
• 1 Special issue

Research output per year

Research output per year

Search results

• 2018

  Asymptotic Fisher Memory of Randomized Linear Symmetric Echo State Networks

  Tino, P., 12 Jul 2018, In: Neurocomputing. 298, p. 4-8 16 p.

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

  Open Access

  File

  • Asymptotics 100%
  • Eigenvector 100%
  • Matrix (Mathematics) 100%
  • Collinear 100%
  • System Size 50%

  6 Citations (Scopus)

  306 Downloads (Pure)

• Learning pharmacokinetic models for in vivo glucocorticoid activation

  Bunte, K., Smith, D., Chappell, M. J., Hassan-Smith, Z., Tomlinson, J., Arlt, W. & Tino, P., 14 Oct 2018, In: Journal of Theoretical Biology. 455, p. 222-231

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

  Open Access

  File

  • Prednisone 100%
  • Pharmacokinetics 100%
  • Pharmacokinetic Model 100%
  • Latent Variable Mixture Models 100%
  • Mixture Model 100%

  3 Citations (Scopus)

  322 Downloads (Pure)

• 2017

  A New Framework for Analysis of Coevolutionary Systems - Directed Graph Representation and Random Walks

  Chong, S. Y., Tino, P., He, J. & Yao, X., 20 Nov 2017, (E-pub ahead of print) In: Evolutionary Computation. 33 p.

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

  Open Access

  File

  • Dominates 100%
  • Markov Chain 100%
  • Invariant Distribution 100%
  • Hitting Time 100%
  • Absorbing Markov Chain 100%

  2 Citations (Scopus)

  211 Downloads (Pure)

• Classification framework for partially observed dynamical systems

  Shen, Y., Tino, P. & Tsaneva-Atanasova, K., 14 Apr 2017, In: Physical Review E. 95, 4, 043303.

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

  Open Access

  • Dynamical Systems 100%
  • Posterior Distribution 100%
  • Classification Framework 100%
  • Partially Observed 100%
  • Dynamical System 100%

  2 Citations (Scopus)

• Classification of sparsely and irregularly sampled time series: A learning in model space approach

  Shen, Y., Tino, P. & Tsaneva-Atanasova, K., 3 Jul 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers (IEEE), Vol. 2017-May. p. 3696-3703 8 p. 7966321

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

  • Posterior Distribution 100%
  • Model Space 100%
  • Irregular Time Series 100%
  • Time Series 100%
  • Time Series Analysis 100%

• 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

  • Predictive Score 100%
  • Brain Networks 100%
  • Functional Brain Networks 100%
  • Brain Network 100%
  • Functional Magnetic Resonance Imaging 66%

  5 Citations (Scopus)

• Indefinite Core Vector Machine

  Schleif, F.-M. & Tino, P., 1 Nov 2017, In: Pattern Recognition. 71, p. 187-195

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

  Open Access

  File

  • Negative Eigenvalues 100%
  • Support Vector Machine 100%
  • Core Vector Machine 100%
  • Eigenvalue 100%
  • Negative Eigenvalue 100%

  13 Citations (Scopus)

  442 Downloads (Pure)

• 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

  • Basal Ganglia 100%
  • Brain Mechanisms 100%
  • Predictive Score 100%
  • Corticostriatal 100%
  • Basal Ganglion 100%

  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

  • Natural Environment 100%
  • Probability Theory 100%
  • Human Behavior 100%
  • Markov Process 100%
  • human tracking 50%

  4 Citations (Scopus)

• Model-free causality detection: An application to social media and financial data

  Tsapeli, T., Musolesi, M. & Tino, P., 4 May 2017, (E-pub ahead of print) In: Physica A: Statistical Mechanics and its Applications.

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

  Open Access

  File

  • Social Media 100%
  • Social Media Data 100%
  • Nonlinearity 100%
  • Behavioural Finance 100%
  • Financial Data 100%

  4 Citations (Scopus)

  296 Downloads (Pure)

• Ordinal regression based on learning vector quantization

  Tang, F. & Tiňo, P., 1 Sept 2017, In: Neural Networks. 93, p. 76-88

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

  Open Access

  File

  • Regression-based Method 100%
  • Learning Vector Quantization 100%
  • Ordinal Regression 100%
  • Vector Quantization 100%
  • Cost Function 33%

  7 Citations (Scopus)

  445 Downloads (Pure)

• Personalized Medication Response Prediction for Attention-Deficit Hyperactivity Disorder: Learning in the Model Space vs. Learning in the Data Space

  Wong, H. K., Tiffin, P. A., Chappell, M. J., Nichols, T. E., Welsh, P. R., Doyle, O. M., Lopez-Kolkovska, B. C., Inglis, S. K., Coghill, D., Shen, Y. & Tiño, P., 11 Apr 2017, In: Frontiers in Physiology. 8, 199.

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

  Open Access

  File

  • Patient Characteristics 100%
  • Attention Deficit Hyperactivity Disorder 100%
  • Treatment Response 100%
  • Learning in the Model Space 100%
  • Response Prediction 100%

  7 Citations (Scopus)

  219 Downloads (Pure)

• Unravelling socio-motor biomarkers in schizophrenia

  Słowiński, P., Alderisio, F., Zhai, C., Shen, Y., Tino, P., Bortolon, C., Capdevielle, D., Cohen, L., Khoramshahi, M., Billard, A., Salesse, R., Gueugnon, M., Marin, L., Bardy, B. G., di Bernardo, M., Raffard, S. & Tsaneva-Atanasova, K., 1 Feb 2017, In: NPJ schizophrenia. 3, 8.

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

  Open Access

  File

  • Learning Technique 100%
  • Biological Marker 100%
  • Schizophrenia 100%
  • Movement Participant 50%
  • Decision Supports 50%

  17 Citations (Scopus)

  197 Downloads (Pure)

• 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

  • Vector Quantization 100%
  • Machine Learning 100%
  • Learning System 100%
  • Functional Magnetic Resonance Imaging 100%
  • Mild Cognitive Impairment 100%

  9 Citations (Scopus)

  185 Downloads (Pure)

• Finding small sets of random fourier features for shift-invariant kernel approximation

  Schleif, F. M., Kaban, A. & Tino, P., 9 Sept 2016, (E-pub ahead of print) Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Proceedings. Springer Verlag, Vol. 9896 LNAI. p. 42-54 13 p. (Lecture Notes in Computer Science; vol. 9896 LNAI).

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

  • Small Sets 100%
  • Shift-invariant 100%
  • Random Fourier Features 100%
  • Invariant Kernel 100%
  • Kernel Approximation 100%

  1 Citation (Scopus)

• Kernel regression estimates of time delays between gravitationally lensed fluxes

  Al Otaibi, S., Tiňo, P., Cuevas-tello, J. C., Mandel, I. & Raychaudhury, S., 11 Jun 2016, In: Royal Astronomical Society. Monthly Notices. 459, 1, p. 573-584

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

  • Time Delay 100%
  • Lensing 100%
  • Quasars 100%
  • Regression Estimates 100%
  • Kernel Regression 100%

  2 Citations (Scopus)

• Model-coupled autoencoder for time series visualisation

  Gianniotis, N., Kügler, S. D., Tino, P. & Polsterer, K. L., 5 Jun 2016, In: Neurocomputing. 192, p. 139-146

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

  Open Access

  File

  • Time Series 100%
  • Time Series Analysis 100%
  • Autoencoder 100%
  • Coupled Autoencoders 100%
  • Echo State Network 75%

  8 Citations (Scopus)

  318 Downloads (Pure)

• Oversampling the minority class in the feature space

  Perez-Ortiz, M., Gutiérrez, P. A., Tino, P. & Hervás-Martínez, C., Sept 2016, In: IEEE Transactions on Neural Networks and Learning Systems. 27, 9, p. 1947-1961 15 p.

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

  • Feature Space 100%
  • Minority Class 100%
  • Oversampling 100%
  • Kernel Function 60%
  • Imbalanced Data 40%

  25 Citations (Scopus)

• 2015

  Incremental probabilistic classification vector machine with linear costs

  Schleif, F. M., Chen, H. & Tino, P., 28 Sept 2015, Proceedings of the International Joint Conference on Neural Networks. Institute of Electrical and Electronics Engineers (IEEE), 8 p. 7280377

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

  • Approximation (Algorithm) 100%
  • Prediction Performance 100%
  • Runtime Complexity 100%
  • Asymmetric Matrices 33%

  8 Citations (Scopus)

• Indefinite proximity learning: A review

  Schleif, F. M. & Tino, P., 21 Oct 2015, In: Neural Computation. 27, 10, p. 2039-2096 58 p.

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

  • Non-metricity 100%
  • Proximity Learning 100%
  • Learning Algorithm 100%
  • Branch-and-Bound Algorithm Design 100%
  • Classification Task 100%

  48 Citations (Scopus)

• Large scale indefinite kernel fisher discriminant

  Schleif, F. M., Gisbrecht, A. & Tino, P., 2015, Similarity-Based Pattern Recognition : Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015. Proceedings. Feragen, A., Pelillo, M. & Loog, M. (eds.). Springer, Vol. 9370. p. 160-170 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9370).

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

  • Kernel Fisher Discriminant 100%
  • Indefinite Kernel 100%
  • Large Scale Data 100%
  • Similarity Data 100%
  • Alignment Score 100%

  4 Citations (Scopus)

• 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%
  • Slack Variable 100%
  • Smooth Modelling 33%
  • Low-complexity Model 33%
  • Correcting Function 33%

  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

  • Topographic Mapping 100%
  • Binary Tensor 100%
  • Dimensionality Reduction Mapping 100%
  • Principal Components 100%
  • Component Analysis 100%

  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

  • Fault Diagnosis 100%
  • Learning Algorithm 66%
  • Collected Data 33%
  • Distribution Network 33%
  • Learning Technique 33%

  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

  • Generalization Performance 100%
  • Echo State Network 100%
  • Readout 100%
  • Time Series 50%
  • Computational Efficiency 50%

  2 Citations (Scopus)

• 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

  • Neural Network 100%
  • Hypersphere 100%
  • Real Line 50%
  • Linear Combination 33%
  • Neural Network Model 33%

  16 Citations (Scopus)

  572 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

  • Process Model 100%
  • Functional Magnetic Resonance Imaging 100%
  • Hidden Process Model 100%
  • Hemodynamic Response 50%
  • Response Function 50%

  7 Citations (Scopus)

  236 Downloads (Pure)