Results 251 to 260 of about 2,663,717 (282)

Classification utility aware data stream anonymization

Applied Soft Computing, 2021
Data streams are continuous, infinite and ordered sequences of data. In comparison to static dataset anonymization, data stream anonymization confront with a number of constraints and difficulties due to the dynamic nature of data flow. The literature already addressed the k-anonymization of data streams which contain quasi-identifier attributes ...
Sopaoğlu, Ugur, Abul, Osman
openaire   +3 more sources

Tag Features for Geo-Aware Image Classification

IEEE Transactions on Multimedia, 2015
The use of geo tags in recording the location at which a picture was taken is becoming part of image metadata . Therefore , studying approaches to image classification that can favorably exploit both geo tags and the underlying geo context has become an emerging topic.
Xirong Li, Heng Tao Shen
exaly   +6 more sources

Discriminatory Decision Policy Aware Classification

2012 IEEE 12th International Conference on Data Mining Workshops, 2012
Regulations worldwide ban discrimination on many factors, including gender, race, age, etc. This poses a problem for data mining, as learning from historical data containing discriminatory decisions may perpetuate discrimination, even if protected attributes are not used. We focus on discrimination prevention for classification.
Koray Mancuhan, Chris Clifton
openaire   +2 more sources

Adaptive Semantics-Aware Malware Classification

2016
Automatic malware classification is an essential improvement over the widely-deployed detection procedures using manual signatures or heuristics. Although there exists an abundance of methods for collecting static and behavioral malware data, there is a lack of adequate tools for analysis based on these collected features.
Bojan Kolosnjaji, Apostolis Zarras, Tamas K. Lengyel, George D. Webster, Claudia Eckert 0001   +4 more
openaire   +2 more sources

Active sampling for graph-aware classification

2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017
The present work deals with data-adaptive active sampling of graph nodes representing training data for binary classification. The graph may be given or constructed using similarity measures among nodal features. Leveraging the graph for classification builds on the premise that labels over neighboring nodes are correlated according to a categorical ...
Dimitris Berberidis, Georgios B. Giannakis   +1 more
openaire   +1 more source

Geostatistics for Context-Aware Image Classification

2015
Context information is fundamental for image understanding. Many algorithms add context information by including semantic relations among objects such as neighboring tendencies, relative sizes and positions. To achieve context inclusion, popular context-aware classification methods rely on probabilistic graphical models such as Markov Random Fields MRF
Felipe Codevilla, Silvia S. C. Botelho, Nelson Duarte Filho, Samuel Purkis, A. S. M. Shihavuddin, Rafael García, Nuno Gracias   +6 more
openaire   +1 more source

A Study of Content-Aware Classification of POI

2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2017
With the rise of Internet technology and development of mobile application, more and more data and information are around us. However, it is not always easy to find the needed information that people want. Therefore, a good recommendation system is required for giving useful or interesting information.
Chieh-Chi Chiu, Zhong-Xing Xie, Hsin-Wen Wei, Wei-Tsong Lee   +3 more
openaire   +2 more sources

Context-aware sentiment classification

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer), 2015
Sentiment Analysis is a growing research area of Natural Language Processing which aims at identifying positive and negative opinions and emotions from a textual data. Presently, Sentiment Analysis research works range from document level classification to sentence-level, phrase-level or aspect/feature level analysis.
Buddhika H. Kasthuriarachchy, Kasun de Zoysa, H.L. Premarathne   +2 more
openaire   +1 more source

Out-of-Distribution Aware Classification for Tabular Data

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
CIKM '24: the 33rd ACM International Conference on Information and Knowledge Management, October 21-25, 2024, Boise ID ...
Ansari, Amirhossein, Wang, Ke, Xiong, Pulei   +2 more
openaire   +2 more sources

FaNet: Feature-aware network for few shot classification of strip steel surface defects

Measurement: Journal of the International Measurement Confederation, 2023
Kechen Song
exaly