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Mining search and browse logs for web search: A Survey
Huge amounts of search log data have been accumulated at Web search engines. Currently, a popular Web search engine may receive billions of queries and collect terabytes of records about user search behavior daily. Beside search log data, huge amounts ...
A survey of appearance models in visual object tracking
Visual object tracking is a significant computer vision task which can be applied to many domains, such as visual surveillance, human computer interaction, and video compression. Despite extensive research on this topic, it still suffers from ...
Perspectives in semantic adaptive social web
The Social Web is now a successful reality with its quickly growing number of users and applications. Also the Semantic Web, which started with the objective of describing Web resources in a machine-processable way, is now outgrowing the research labs ...
Social semantic query expansion
Weak semantic techniques rely on the integration of Semantic Web techniques with social annotations and aim to embrace the strengths of both. In this article, we propose a novel weak semantic technique for query expansion. Traditional query expansion ...
Web media semantic concept retrieval via tag removal and model fusion
Multimedia data on social websites contain rich semantics and are often accompanied with user-defined tags. To enhance Web media semantic concept retrieval, the fusion of tag-based and content-based models can be used, though it is very challenging. In ...
A temporal pattern mining approach for classifying electronic health record data
We study the problem of learning classification models from complex multivariate temporal data encountered in electronic health record systems. The challenge is to define a good set of features that are able to represent well the temporal aspect of the ...
COM: A method for mining and monitoring human activity patterns in home-based health monitoring systems
The increasing aging population in the coming decades will result in many complications for society and in particular for the healthcare system due to the shortage of healthcare professionals and healthcare facilities. To remedy this problem, ...
Dealing with uncertainty: Robust workflow navigation in the healthcare domain
Processes in the healthcare domain are characterized by coarsely predefined recurring procedures that are flexibly adapted by the personnel to suite-specific situations. In this setting, a workflow management system that gives guidance and documents the ...
CUDIA: Probabilistic cross-level imputation using individual auxiliary information
In healthcare-related studies, individual patient or hospital data are not often publicly available due to privacy restrictions, legal issues, or reporting norms. However, such measures may be provided at a higher or more aggregated level, such as state-...
Reliable medical recommendation systems with patient privacy
One of the concerns patients have when confronted with a medical condition is which physician to trust. Any recommendation system that seeks to answer this question must ensure that any sensitive medical information collected by the system is properly ...
Validation of an ontological medical decision support system for patient treatment using a repository of patient data: Insights into the value of machine learning
In this article, we begin by presenting OMeD, a medical decision support system, and argue for its value over purely probabilistic approaches that reason about patients for time-critical decision scenarios. We then progress to present Holmes, a Hybrid ...
Customized prediction of respiratory motion with clustering from multiple patient interaction
Information processing of radiotherapy systems has become an important research area for sophisticated radiation treatment methodology. Geometrically precise delivery of radiotherapy in the thorax and upper abdomen is compromised by respiratory motion ...
Early prediction of the highest workload in incremental cardiopulmonary tests
Incremental tests are widely used in cardiopulmonary exercise testing, both in the clinical domain and in sport sciences. The highest workload (denoted Wpeak) reached in the test is key information for assessing the individual body response to the test ...
A semantic framework for intelligent matchmaking for clinical trial eligibility criteria
An integral step in the discovery of new treatments for medical conditions is the matching of potential subjects with appropriate clinical trials. Eligibility criteria for clinical trials are typically specified as inclusion and exclusion criteria for ...
A machine learning approach to college drinking prediction and risk factor identification
Alcohol misuse is one of the most serious public health problems facing adolescents and young adults in the United States. National statistics shows that nearly 90% of alcohol consumed by youth under 21 years of age involves binge drinking and 44% of ...
LocateMe: Magnetic-fields-based indoor localization using smartphones
Fine-grained localization is extremely important to accurately locate a user indoors. Although innovative solutions have already been proposed, there is no solution that is universally accepted, easily implemented, user centric, and, most importantly, ...
Random walks down the mention graphs for event coreference resolution
Event coreference is an important task in event extraction and other natural language processing tasks. Despite its importance, it was merely discussed in previous studies. In this article, we present a global coreference resolution system dedicated to ...