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- research-articleSeptember 2022
Learning refined features for open-world text classification with class description and commonsense knowledge
AbstractOpen-world classification requires a classifier not only to classify samples of the observed classes but also to detect samples which are not suitable to be classified as the known classes. State-of-the-art methods train a feature extractor to ...
- research-articleSeptember 2020
Combining weighted category-aware contextual information in convolutional neural networks for text classification
AbstractConvolutional neural networks (CNNs) are widely used in many natural language processing tasks, which employ some convolutional filters to capture useful semantic features of a text. However, a small window size convolutional filter is short of ...
- research-articleSeptember 2020
Decision-based evasion attacks on tree ensemble classifiers
AbstractLearning-based classifiers are found to be susceptible to adversarial examples. Recent studies suggested that ensemble classifiers tend to be more robust than single classifiers against evasion attacks. In this paper, we argue that this is not ...
- articleSeptember 2008
On Capturing Semantics in Ontology Mapping
Semantic interoperability between disparate systems in open, distributed environments has become the quest of many practitioners in a variety of fields. One way to achieve such a goal is through ontology mapping. The perspective users of such technology,...
- articleJune 2008
Flexible Semantic-Based Service Matchmaking and Discovery
Automated techniques and tools are required to effectively locate services that fulfill a given user request in a mobility context. To this purpose, the use of semantic descriptions of services has been widely motivated and recommended for automated ...
- articleMarch 2007
Patterns Based Classifiers
Data mining is one of the most important areas in the 21 century for its applications are wide ranging. This includes medicine, finance, commerce and engineering, to name a few. Pattern mining is amongst the most important and challenging techniques ...
- articleDecember 2005
Studying the XML Web: Gathering Statistics from an XML Sample
XML has emerged as the language for exchanging data on the web and has attracted considerable interest both in industry and in academia. Nevertheless, to date, little is known about the XML documents published on the web. This paper presents a ...
- articleDecember 2005
Searching for Flash Movies on the Web: A Content and Context Based Framework
The phenomenal growth of online Flash movies in recent years has made Flash one of the most prevalent media formats on the Web. The retrieval and management issues of Flash, vital to the utilization of the enormous Flash resource, are unfortunately ...
- articleDecember 2005
Automatic Discovery and Inferencing of Complex Bioinformatics Web Interfaces
The World Wide Web provides a vast resource to genomics researchers, with Web-based access to distributed data sources such as BLAST sequence homology search interfaces. However, finding the desired scientific information can still be very tedious and ...