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07800nam a22006375i 4500 |
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978-3-319-23344-4 |
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DE-He213 |
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20210619183825.0 |
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150820s2015 gw | s |||| 0|eng d |
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|a 9783319233444
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|a 10.1007/978-3-319-23344-4
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|a Q334-342
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|a Brain Informatics and Health
|h [electronic resource] :
|b 8th International Conference, BIH 2015, London, UK, August 30 - September 2, 2015. Proceedings /
|c edited by Yike Guo, Karl Friston, Faisal Aldo, Sean Hill, Hanchuan Peng.
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| 250 |
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|a 1st ed. 2015.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a XV, 459 p. 137 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Lecture Notes in Artificial Intelligence ;
|v 9250
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|a Thinking and Perception-centric Investigations of Human Information Processing System (HIPS)and Computational Foundations of Brain Science -- Eye Tracking and EEG Features for Salient Web Object Identification -- Cognitive Task Classification from Wireless EEG -- Identifying the Computational Parameters Gone Awry in Psychosis -- Morphologic and Functional Connectivity Alterations in Patients with Major Depressive Disorder -- A Cognitive Model for Understanding Chinese Character -- Information Technologies for Curating, Mining, Managing and Using Big Brain Data Identification of Gender Specific Biomarkers for Alzheimer's Disease -- BRAINtrinsic: A Virtual Reality-Compatible Tool for Exploring Intrinsic Topologies of the Human Brain Connectome -- Sleep Stages Classification from Electroencephalographic Signals based on Unsupervised Feature Space Clustering -- Identifying Distinguishing Factors in Predicting Brain Activities - an Inclusive Machine Learning Approach -- Classification Analysis of Chronological Age Using Brief Resting Electroencephalographic (EEG) Recordings -- Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder -- Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic Associations and for the Alzheimer's Disease Neuroimaging Initiative -- Minimum Partial Correlation: An Accurate and Parameter-free Measure of Functional Connectivity in fMRI -- A Model-Guided String-Based Approach to White Matter Fiber-Bundles Extraction -- Towards the Identification of Disease Signatures -- The Unsupervised Hierarchical Convolutional Sparse Auto-encoder for Neuroimaging Data Classification -- A Personalized Method of Literature Recommendation Based on Brain Informatics Provenances -- Brain-inspired Technologies, Systems and Applications -- Measuring Emotion Regulation with Single Dry Electrode Brain Computer Interface -- Myndplay: Measuring Attention Regulation with Single Dry Electrode Brain Computer Interface -- Optimizing Performance of Non-Expert Users in Brain-Computer Interaction by Means of an Adaptive Performance Engine -- Movement Intention Detection from Autocorrelation of EEG for BCI -- Time-varying Parametric Modeling of ECoG for Syllable Decoding -- Classification Accuracy Improvement of Chromatic and High-frequency Code-modulated Visual Evoked Potential-based BCI -- Investigation of Familiarity Effects in Music-Emotion Recognition Based on EEG -- A Neural Network Based Model for Predicting Psychological Conditions following a mild Traumatic Brain Injury -- Application to Women's Healthcare of Health Management System using a Tablet Phone -- Special Session on Neuroimaging Data Analysis and Applications -- GN-SCCA: GraphNet based Sparse Canonical Correlation Analysis for Brain Imaging Genetics -- B-spline Registration of Neuroimaging Modalities with Map-reduce Framework -- Integrated Visualization of Human Brain Connectome Data -- Sleep Stages Classification Using Neural Networks with Multi-channel Neural Data -- Unveil the Switching Deficits in Depression by the Dwelling Time in Dominant Community of Resting-State Networks -- Visual Object Categorization from Whole to Fine: Evidence from ERP -- Special Session on Interactive Machine Learning with the human-in-the-loop: Cognitive Computing at its best -- Joint Decision Making on Two Perception Systems using Diversity Rank-Score Function Graph -- Interactive and Iterative Annotation for Biomedical Entity Recognition -- Analysis of Patient Groups and Immunization Results Based on Subspace Clustering -- Witnesses for the Doctor in the Loop -- Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing -- Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing -- Symposium on Computational Psychophysiology -- The Research of Depression Based on Power Spectrum -- Modelling Uncertainty in Health Care Systems -- Brief Discussion on Current Computerized Cognitive Behavioral Therapy -- Symposium on Modelling Brain Information -- A Middleware for Integrating Cognitive Architectures -- Four Ways to Evaluate Arguments According to Agent Engagement.
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|a This book constitutes the proceedings of the International Conference on Brain Informatics and Health, BIH 2015, held in London, UK in August/ September 2015. The 42 full papers presented there carefully reviewed and selected from 82 submissions. Following the success of past conferences in this series, BIH 2015 has a strong emphasis on emerging trends of big data analysis and management technology for brain research, behavior learning, and real-world applications of brain science in human health and wellbeing.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
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0 |
|a Pattern recognition.
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| 650 |
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0 |
|a Application software.
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| 650 |
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0 |
|a Optical data processing.
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| 650 |
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0 |
|a User interfaces (Computer systems).
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| 650 |
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0 |
|a Information storage and retrieval.
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| 650 |
1 |
4 |
|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
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| 650 |
2 |
4 |
|a Pattern Recognition.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
|
| 650 |
2 |
4 |
|a Information Systems Applications (incl. Internet).
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18040
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| 650 |
2 |
4 |
|a Image Processing and Computer Vision.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I22021
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| 650 |
2 |
4 |
|a User Interfaces and Human Computer Interaction.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18067
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| 650 |
2 |
4 |
|a Information Storage and Retrieval.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18032
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| 700 |
1 |
|
|a Guo, Yike.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
|
|a Friston, Karl.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Aldo, Faisal.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Hill, Sean.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Peng, Hanchuan.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer Nature eBook
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783319233437
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783319233451
|
| 830 |
|
0 |
|a Lecture Notes in Artificial Intelligence ;
|v 9250
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-23344-4
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| 912 |
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|a ZDB-2-SXCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
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