A. Stanescu

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Au th or ’ s Co py Semi-Supervised Self-training Approaches for Imbalanced Splice Site Datasets

Doina Caragea, A. Stanescu, 2014 .

A Comparison of Network Clustering Algorithms in Keyword Network Analysis: A Case Study with Geography Conference Presentations

J. Seong, A. Stanescu, Youngho Lee, 2020 .

Developing parsimonious ensembles using ensemble diversity within a reinforcement learning framework pdf

Gaurav Pandey, Ana Stanescu, G. Pandey, 2018, ArXiv.

A qualitative study of the activities performed by people involved in clinical decision support: recommended practices for success

Adam Wright, Blackford Middleton, Joan S. Ash, 2013, J. Am. Medical Informatics Assoc..

Predicting alternatively spliced exons using semi-supervised learning

Doina Caragea, Karthik Tangirala, Ana Stanescu, 2016, Int. J. Data Min. Bioinform..

Video-Annotated Augmented Reality Assembly Tutorials

Denis Kalkofen, Masahiro Yamaguchi, Markus Tatzgern, 2020, UIST.

Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge

I. Bar-Gad, G. Pandey, Y. Guan, 2021, medRxiv.

Ensemble-based semi-supervised learning approaches for imbalanced splice site datasets

Doina Caragea, Ana Stanescu, Doina Caragea, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Hybrid Recommender System: User Profiling from Keywords and Ratings

Doina Caragea, Ana Stanescu, Swapnil Nagar, 2013, 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection

Robert M. Vogel, Ricardo Henao, K. Y. Yeung, 2018, bioRxiv.

A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection

Thomas Yu, Ka Yee Yeung, Maria K. Jaakkola, 2018, Nature Communications.

Learning Parsimonious Ensembles for Unbalanced Computational Genomics Problems

Gaurav Pandey, Ana Stanescu, G. Pandey, 2017, PSB.

Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework

G. Pandey, A. Stanescu, 2021, ArXiv.

Study of transductive learning and unsupervised feature construction methods for biological sequence classification

Doina Caragea, Karthik Tangirala, Ana Stanescu, 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Model-Free Authoring by Demonstration of Assembly Instructions in Augmented Reality

D. Schmalstieg, Denis Kalkofen, A. Stanescu, 2022, IEEE Transactions on Visualization and Computer Graphics.

AR Hero: Generating Interactive Augmented Reality Guitar Tutorials

D. Schmalstieg, M. Sedlmair, Frank Heyen, 2022, 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).

An empirical study of self-training and data balancing techniques for splice site prediction

Doina Caragea, Ana Stanescu, Doina Caragea, 2017, Int. J. Bioinform. Res. Appl..

An empirical study of ensemble-based semi-supervised learning approaches for imbalanced splice site datasets

Doina Caragea, A. Stanescu, 2015, BMC Systems Biology.

Predicting cassette exons using transductive learning approaches

Doina Caragea, Ana Stanescu, Doina Caragea, 2015, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Histogram Methods for Unsupervised Clustering

Steven Benzel, Ana Stanescu, S. Benzel, 2020, ACM Southeast Regional Conference.