Projects per year
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Classifiers
Engineering & Materials Science
Ontology
Engineering & Materials Science
Learning algorithms
Engineering & Materials Science
Proteins
Engineering & Materials Science
Learning systems
Engineering & Materials Science
Web services
Engineering & Materials Science
Taxonomies
Engineering & Materials Science
Classifier
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2003 2021
Penn State Biomedical Big Data to Knowledge (B2D2K) Training Program
Honavar, V. G., Ritchie, M. D., Li, R., Ritchie, M. D. & Broach, J.
4/1/16 → 3/31/21
Project: Research project
Health
Bioinformatics
Statistics
Information science
Big data
Proteins
Signal transduction
Bioinformatics
Gene expression
Antibodies
Research Output 1989 2018
1
Citations
(Scopus)
A user similarity-based Top-N recommendation approach for mobile in-application advertising
Hu, J., Liang, J., Kuang, Y. & Honavar, V. G., Nov 30 2018, In : Expert Systems with Applications. 111, p. 51-60 10 p.Research output: Contribution to journal › Article
Recommender systems
Scalability
Marketing
Feedback
Experiments
Compositional Stochastic Average Gradient for Machine Learning and Related Applications
Hsieh, T. Y., Elmanzalawi, Y., Sun, Y. & Honavar, V. G., Jan 1 2018, Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings. Yin, H., Novais, P., Camacho, D. & Tallón-Ballesteros, A. J. (eds.). Springer Verlag, p. 740-752 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11314 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Learning systems
Machine Learning
Gradient methods
Gradient
Gradient Descent
Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection
Abbas, M., Le, T., Bensmail, H., Honavar, V. G. & Elmanzalawi, Y., Aug 15 2018, ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, p. 172-177 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Biomarkers
Inflammatory Bowel Diseases
Feature extraction
Metagenomics
Phenotype
Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data 06 Biological Sciences 0604 Genetics
Elmanzalawi, Y., Hsieh, T. Y., Shivakumar, M., Kim, D. & Honavar, V. G., Sep 14 2018, In : BMC Medical Genomics. 11, 71.Research output: Contribution to journal › Article
Biological Science Disciplines
Ovarian Neoplasms
Precision Medicine
Atlases
Genome
Partner-specific prediction of RNA-binding residues in proteins: A critical assessment
Jung, Y., Elmanzalawi, Y., Dobbs, D. & Honavar, V. G., Jan 1 2018, (Accepted/In press) In : Proteins: Structure, Function and Bioinformatics.Research output: Contribution to journal › Article
Staphylococcal Protein A
RNA
Proteins
RNA-Binding Proteins
Computational methods