Intelligent Systems and Technology (TIST)


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ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers, Volume 4 Issue 4, September 2013

Section: 1 - Survey Papers

Mining search and browse logs for web search: A Survey
Daxin Jiang, Jian Pei, Hang Li
Article No.: 57
DOI: 10.1145/2508037.2508038

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...

A survey of appearance models in visual object tracking
Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony Dick, Anton Van Den Hengel
Article No.: 58
DOI: 10.1145/2508037.2508039

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...

Section: 2 - Special Section on the Semantic Adaptive Social Web

Perspectives in semantic adaptive social web
Federica Cena, Antonina Dattolo, Pasquale Lops, Julita Vassileva
Article No.: 59
DOI: 10.1145/2501603

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...

Social semantic query expansion
Claudio Biancalana, Fabio Gasparetti, Alessandro Micarelli, Giuseppe Sansonetti
Article No.: 60
DOI: 10.1145/2508037.2508041

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...

Web media semantic concept retrieval via tag removal and model fusion
Chao Chen, Qiusha Zhu, Lin Lin, Mei-Ling Shyu
Article No.: 61
DOI: 10.1145/2508037.2508042

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...

Section: 3 - Special Section on Intelligent Systems for Health Informatics

Introduction to the special section on intelligent systems for health informatics
Chandan K. Reddy, Cristopher C. Yang
Article No.: 62
DOI: 10.1145/2508037.2508043

A temporal pattern mining approach for classifying electronic health record data
Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
Article No.: 63
DOI: 10.1145/2508037.2508044

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...

COM: A method for mining and monitoring human activity patterns in home-based health monitoring systems
Parisa Rashidi, Diane J. Cook
Article No.: 64
DOI: 10.1145/2508037.2508045

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
Hannes Wolf, Klaus Herrmann, Kurt Rothermel
Article No.: 65
DOI: 10.1145/2508037.2508046

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...

CUDIA: Probabilistic cross-level imputation using individual auxiliary information
Yubin Park, Joydeep Ghosh
Article No.: 66
DOI: 10.1145/2508037.2508047

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...

Reliable medical recommendation systems with patient privacy
T. Ryan Hoens, Marina Blanton, Aaron Steele, Nitesh V. Chawla
Article No.: 67
DOI: 10.1145/2508037.2508048

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...

Validation of an ontological medical decision support system for patient treatment using a repository of patient data: Insights into the value of machine learning
Atif Khan, John A. Doucette, Robin Cohen
Article No.: 68
DOI: 10.1145/2508037.2508049

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...

Customized prediction of respiratory motion with clustering from multiple patient interaction
Suk Jin Lee, Yuichi Motai, Elisabeth Weiss, Shumei S. Sun
Article No.: 69
DOI: 10.1145/2508037.2508050

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...

Early prediction of the highest workload in incremental cardiopulmonary tests
Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Vincenzo D'elia, Riccardo Molinari, Davide Susta
Article No.: 70
DOI: 10.1145/2508037.2508051

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...

A semantic framework for intelligent matchmaking for clinical trial eligibility criteria
Yugyung Lee, Saranya Krishnamoorthy, Deendayal Dinakarpandian
Article No.: 71
DOI: 10.1145/2508037.2508052

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...

Section: 4 - Regular Papers

A machine learning approach to college drinking prediction and risk factor identification
Jinbo Bi, Jiangwen Sun, Yu Wu, Howard Tennen, Stephen Armeli
Article No.: 72
DOI: 10.1145/2508037.2508053

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...