Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Machine Learning and Interpretation in Neuroimaging [[electronic resource] ] : 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers / / edited by Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy
| Machine Learning and Interpretation in Neuroimaging [[electronic resource] ] : 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers / / edited by Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (X, 129 p. 30 illus.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Application software Mathematical statistics Data mining Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Information Systems Applications (incl. Internet) Probability and Statistics in Computer Science Data Mining and Knowledge Discovery |
| ISBN | 3-319-45174-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Networks and Decoding -- Multi-Task Learning for Interpretation of Brain Decoding Models -- The New Graph Kernels on Connectivity Networks for Identification of MCI -- Mapping Tractography Across Subjects -- Speech -- Automated speech analysis for psychosis evaluation -- Combining different modalities in classifying phonological categories -- Clinics and cognition -- Label-alignment-based Multi-task Feature Selection for Multimodal Classification of Brain Disease -- Leveraging Clinical Data to Enhance Localization of Brain Atrophy -- Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization -- Causality and time-series -- Classification-based Causality Detection in Time Series -- Fast and Improved SLEX Analysis of High-dimensional Time Series -- Best paper awards: MLINI 2013 -- Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis -- Hyperalignment of Multi-Subject fMRI Data by Synchronized Projections -- An oblique approach to prediction of conversion to Alzheimer's Disease with multikernel Gaussian Processes. . |
| Record Nr. | UNISA-996465642103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Interpretation in Neuroimaging : 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers / / edited by Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy
| Machine Learning and Interpretation in Neuroimaging : 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers / / edited by Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (X, 129 p. 30 illus.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Pattern recognition systems
Computer vision Artificial intelligence Application software Computer science - Mathematics Mathematical statistics Data mining Automated Pattern Recognition Computer Vision Artificial Intelligence Computer and Information Systems Applications Probability and Statistics in Computer Science Data Mining and Knowledge Discovery |
| ISBN | 3-319-45174-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Networks and Decoding -- Multi-Task Learning for Interpretation of Brain Decoding Models -- The New Graph Kernels on Connectivity Networks for Identification of MCI -- Mapping Tractography Across Subjects -- Speech -- Automated speech analysis for psychosis evaluation -- Combining different modalities in classifying phonological categories -- Clinics and cognition -- Label-alignment-based Multi-task Feature Selection for Multimodal Classification of Brain Disease -- Leveraging Clinical Data to Enhance Localization of Brain Atrophy -- Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization -- Causality and time-series -- Classification-based Causality Detection in Time Series -- Fast and Improved SLEX Analysis of High-dimensional Time Series -- Best paper awards: MLINI 2013 -- Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis -- Hyperalignment of Multi-Subject fMRI Data by Synchronized Projections -- An oblique approach to prediction of conversion to Alzheimer's Disease with multikernel Gaussian Processes. . |
| Record Nr. | UNINA-9910483840303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning and Interpretation in Neuroimaging [[electronic resource] ] : International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions / / edited by Georg Langs, Irina Rish, Moritz Grosse-Wentrup, Brian Murphy
| Machine Learning and Interpretation in Neuroimaging [[electronic resource] ] : International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions / / edited by Georg Langs, Irina Rish, Moritz Grosse-Wentrup, Brian Murphy |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XIV, 266 p. 83 illus.) |
| Disciplina | 006.3/1 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Optical data processing
Pattern recognition Data mining Mathematical statistics Application software Computer Imaging, Vision, Pattern Recognition and Graphics Pattern Recognition Data Mining and Knowledge Discovery Probability and Statistics in Computer Science Image Processing and Computer Vision Computer Applications |
| ISBN | 3-642-34713-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding -- Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify -- Searchlight Based Feature Extraction -- Looking Outside the Searchlight -- Population Codes Representing Musical Timbre for High-Level fMRI Categorization of Music Genres -- Induction in Neuroscience with Classification: Issues and Solutions -- A New Feature Selection Method Based on Stability Theory – Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data -- Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection -- Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain -- Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI -- Modality Neutral Techniques for Brain Image Understanding -- How Does the Brain Represent Visual Scenes? A Neuromagnetic Scene Categorization Study -- Finding Consistencies in MEG Responses to Repeated Natural Speech -- Categorized EEG Neurofeedback Performance Unveils Simultaneous fMRI Deep Brain Activation -- Predicting Clinically Definite Multiple Sclerosis from Onset Using SVM -- MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials -- Pairwise Analysis for Longitudinal fMRI Studies -- Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information -- The Dynamic Beamformer -- Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing -- The Neural Dynamics of Visual Processing in Monkey Extrastriate Cortex: A Comparison between Univariate and Multivariate Techniques -- Statistical Learning for Resting-State fMRI: Successes and Challenges -- Relating Brain Functional Connectivity to Anatomical Connections: Model Selection -- Information-Theoretic Connectivity-Based Cortex Parcellation -- Inferring Brain Networks through Graphical Models with Hidden Variables -- Pitfalls in EEG-Based Brain Effective Connectivity Analysis -- Data-Driven Modeling of BOLD Drug Response Curves Using Gaussian Process Learning -- Variational Bayesian Learning of Sparse Representations and Its Application in Functional Neuroimaging -- Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling -- A Latent Feature Analysis of the Neural Representation of Conceptual Knowledge -- Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box -- Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data. |
| Record Nr. | UNISA-996466318403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||