Mini Symposia
18 Lectures · Dec 10, 2009
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Assistive Machine Learning for People with Disabilities
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Towards Brain Computer Interfacing: Algorithms for on-line Differentiation of Ne...
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Machine Learning for Brain-Computer Interfaces
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An Efficient P300-based Brain-Computer Interface with Minimal Calibration Time
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Extracting Gait Spatiotemporal Properties from Parkinson's Disease Patients
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Machine Learning Applied to Multi-Modal Interaction, Adaptive Interfaces and Ubi...
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Human-Centered Machine Learning in a Social Interaction Assistant for Individual...
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Toward Text-to-Picture Synthesis
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Fast and Flexible Selection with a Single Switch
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Data Mining Based User Modeling Systems for Web Personalization Applied to Peopl...
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Perspective on the Goals and Complexities of Inclusive Design
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Causality and Time Series Analysis
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Granger Causality and Dynamic Structural Systems
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Time Series Causality Inference Using the Phase Slope Index
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Causality in Brain Connectivity Studies Using Functional Magnetic Resonance Imag...
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Graphical Causal Models for Time Series Econometrics: Some Recent Developments a...
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Open-Access Datasets for Time Series Causality Discovery Validation
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Machine Learning in Computational Biology
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Understanding Gene Regulatory Networks and Their Variations
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Time Varying Graphical Models: Reverse Engineering and Analyzing Rewiring Networ...
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Novel Applications of Computational Biology in Infectious Disease Interventions
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