136 Result(s)
within
English
Artificial Intelligence
Pattern Recognition
M. **gliang
Computer Science
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Chapter and Conference Paper
Active Echo: A New Paradigm for Ultrasound Calibration
In ultrasound-guided medical procedures, accurate tracking of interventional tools with respect to the US probe is crucial to patient safety and clinical outcome. US probe tracking requires an unavoidable cali...
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Chapter and Conference Paper
Concept Recommendation System for Cloud Services Advertisement
Cloud computing is a major trend in Information Technology (IT), which has witnessed high adaption rate for cloud solutions. Software-as-a-Service (SaaS) providers compete to address nearly every business and ...
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Chapter and Conference Paper
Supervised Learning for the Neurosurgery Intensive Care Unit Using Single-Layer Perceptron Classifiers
In the continuing goal to merge the fields of computational neuroscience with medical based neurodiagnostic clinical research this paper presents advancements on machine learning Big Electroencephalogram (EEG)...
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Chapter and Conference Paper
Statistical Text-to-Speech Synthesis of Spanish Subtitles
Online multimedia repositories are growing rapidly. However, language barriers are often difficult to overcome for many of the current and potential users. In this paper we describe a TTS Spanish system and we...
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Chapter and Conference Paper
Spá: A Web-Based Viewer for Text Mining in Evidence Based Medicine
Summarizing the evidence about medical interventions is an immense undertaking, in part because unstructured Portable Document Format (PDF) documents remain the main vehicle for disseminating scientific findin...
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Chapter and Conference Paper
Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries
How many listens will an artist receive on a online radio? How about plays on a YouTube video? How many of these visits are new or returning users? Modeling and mining popularity dynamics of social activity ha...
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Chapter and Conference Paper
Are Some Brain Injury Patients Improving More Than Others?
Predicting the evolution of individuals is a rather new mining task with applications in medicine. Medical researchers are interested in the progress of a disease and in the evolution of individuals subjected ...
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Chapter and Conference Paper
Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder
We present an anatomically guided feature selection scheme for prediction of neurological disorders based on brain connectivity networks. Using anatomical information not only gives rise to an interpretable mo...
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Chapter and Conference Paper
At Odds with Curious Cats, Curious Robots Acquire Human-Like Intelligence
This work contributes to the development of a real-time intelligent system allowing to discover and to learn autonomously new knowledge about the surrounding world by semantic interaction with human. Based on ...
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Chapter and Conference Paper
Queries Based Workload Management System for the Cloud Environment
Workload management for concurrent queries is one of the challenging aspects of executing queries over the cloud computing environment. The core problem is to manage any unpredictable load imbalance with respe...
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Chapter and Conference Paper
Future Prospects of Human Interaction with Artificial Autonomous Systems
The growing complexity of intelligent systems and technologies raises questions concerning their interaction with human intelligence. The loss of an ability to control artificial intelligent and autonomous dec...
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Chapter and Conference Paper
Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model
We propose a probabilistic graphical model for predicting student attainment in web-based education. We empirically evaluate our model on a crowdsourced dataset with students and teachers; Teachers prepared le...
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Chapter and Conference Paper
A Parsing Approach to SAT
We present a parsing approach to address the problem of propositional satisfiability (SAT). We use a very simple translation from formulae in conjunctive normal form (CNF) to strings to be parsed by an Earley ...
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Chapter and Conference Paper
Whole Brain Functional Connectivity Using Multi-scale Spatio-Spectral Random Effects Model
Functional brain networks produce connected low frequency patterns of activity when the brain is at rest which can be analyzed with resting state functional MRI (rs-fMRI) by fitting general linear models for s...
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Chapter and Conference Paper
Decision-Theoretic Sparsification for Gaussian Process Preference Learning
We propose a decision-theoretic sparsification method for Gaussian process preference learning. This method overcomes the loss-insensitive nature of popular sparsification approaches such as the Informative Ve...
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Chapter and Conference Paper
Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification
We develop a matched signal detection (MSD) theory for signals with an intrinsic structure described by a weighted graph. Hypothesis tests are formulated under different signal models. In the simplest scenario...
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Chapter and Conference Paper
“SynMax”: A Mathematics Application Tool for Down Syndrome Children
Research has shown that the number skills delayed relative to reading skills for Down Syndrome (DS) children. The DS children use the same learning strategy as the normal children, but their learning stages de...
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Chapter and Conference Paper
Bimodal Incremental Self-Organizing Network (BiSON) with Application to Learning Chinese Characters
We present a recurrent learning system that can incrementally integrate stimuli in two modalities, visual and auditory. The system consists of five self-organizing modules, each map** input stimuli into resp...
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Chapter and Conference Paper
Using Agents for Generating Personalized Recommendations of Multimedia Contents
Agent-based recommender systems assist users based on their preferences and those of similar users. However, when dealing with multimedia contents they need of: (i) selecting as recommenders those users that have...
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Chapter and Conference Paper
Common Subsumbers in RDF
Since their definition in 1992, Least Common Subsumers (LCSs) have been identified as services supporting learning by examples. Nowadays, the Web of Data offers a hypothetically unlimited dataset of interlinke...
