Towards Building a Collection of Web Archiving Research Articles

Towards Building a Collection of Web Archiving Research Articles

Date: May 20, 2014
Creator: Reyes Ayala, Brenda & Caragea, Cornelia
Description: Presentation for the 2014 International Internet Preservation Consortium (IIPC) General Assembly. This presentation discusses building a collection of web archiving research articles.
Contributing Partner: UNT Libraries
[Dataset of Web Archiving Research Articles]

[Dataset of Web Archiving Research Articles]

Date: August 2014
Creator: Reyes Ayala, Brenda & Caragea, Cornelia
Description: Datasets used in the presentation, "Towards Building a Collection of Web Archiving Research Articles." The files included here were used to conduct several Machine Learning classification experiments that result in a corpus of scholarly research articles on the topic of web archiving.
Contributing Partner: UNT College of Engineering
Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces

Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces

Date: 2012
Creator: Caragea, Cornelia; Silvescu, Adrian & Mitra, Prasenjit
Description: Article on combining hashing and abstraction in sparse high dimensional feature spaces.
Contributing Partner: UNT College of Engineering
Protein sequence classification using feature hashing

Protein sequence classification using feature hashing

Date: June 21, 2012
Creator: Caragea, Cornelia; Silvescu, Adrian & Mitra, Prasenjit
Description: Article discussing protein sequence classification using feature hashing.
Contributing Partner: UNT College of Engineering
Protein Sequence Classification Using Feature Hashing

Protein Sequence Classification Using Feature Hashing

Date: June 21, 2012
Creator: Caragea, Cornelia; Silvescu, Adrian & Mitra, Prasenjit
Description: Article on protein sequence classification using feature hashing.
Contributing Partner: UNT College of Engineering
Struct-NB: Predicting Protein-RNA Binding Sites Using Structural Features

Struct-NB: Predicting Protein-RNA Binding Sites Using Structural Features

Date: 2008
Creator: Towfic, Fadi; Caragea, Cornelia; Gemperline, David; Dobbs, Drena & Honavar, Vasant
Description: Article discussing predicting protein-RNA binding sites using structural features.
Contributing Partner: UNT College of Engineering
Classifying Scientific Publications Using Abstract Features

Classifying Scientific Publications Using Abstract Features

Date: 2011
Creator: Caragea, Cornelia; Silvescu, Adrian; Kataria, Saurabh; Caragea, Doina & Mitra, Prasenjit
Description: Article discussing classifying scientific publications using abstract features.
Contributing Partner: UNT College of Engineering
Thread Specific Features Are Helpful For Identifying Subjectivity Orientation of Online Forum Threads

Thread Specific Features Are Helpful For Identifying Subjectivity Orientation of Online Forum Threads

Date: October 2012
Creator: Biyani, Prakhar; Bhatia, Sumit; Caragea, Cornelia & Mitra, Prasenjit
Description: Paper discussing thread specific features for identifying subjectivity orientation of online forum threads.
Contributing Partner: UNT College of Engineering
Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling

Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling

Date: April 29, 2009
Creator: Caragea, Cornelia; Sinapov, Jivko; Dobbs, Drena & Honavar, Vasant
Description: Article discussing models for increasing the reliability of computational methods for identifying functionally important sites from biomolecular sequences.
Contributing Partner: UNT College of Engineering
Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models

Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models

Date: October 26, 2010
Creator: Caragea, Cornelia; Caragea, Doina; Silvescu, Adrian & Honavar, Vasant
Description: Article discussing the semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.
Contributing Partner: UNT College of Engineering
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