Semi-supervised Learning of Alternatively Spliced Exons using Expectation Maximization Type Approaches. - Ana Stanescu 001; Doina Caragea (BIOINFORMATICS, 2012)

Cross-domain Sentiment Classification using an Adapted Naïve Bayes Approach and Features Derived from Syntax Trees. - Srilaxmi Cheeti; Ana Stanescu 001; Doina Caragea (KDIR/KMIS, 2013)

A Hybrid Recommender System: User Profiling from Keywords and Ratings. - Ana Stanescu 001; Swapnil Nagar; Doina Caragea (Web Intelligence, 2013)

Ensemble-based semi-supervised learning approaches for imbalanced splice site datasets. - Ana Stanescu 001; Doina Caragea (BIBM, 2014)

Predicting cassette exons using transductive learning approaches. - Ana Stanescu 001; Doina Caragea (CIBCB, 2015)

Study of transductive learning and unsupervised feature construction methods for biological sequence classification. - Ana Stanescu 001; Karthik Tangirala; Doina Caragea (ASONAM, 2016)

Predicting alternatively spliced exons using semi-supervised learning. - Ana Stanescu 001; Karthik Tangirala; Doina Caragea (Int. J. Data Min. Bioinform., 2016)

Learning Parsimonious Ensembles for Unbalanced Computational Genomics Problems. - Ana Stanescu 001; Gaurav Pandey 007 (PSB, 2017)

An empirical study of self-training and data balancing techniques for splice site prediction. - Ana Stanescu 001; Doina Caragea (Int. J. Bioinform. Res. Appl., 2017)

Developing parsimonious ensembles using ensemble diversity within a reinforcement learning framework. - Ana Stanescu 001; Gaurav Pandey 007 (CoRR, 2018)

Histogram Methods for Unsupervised Clustering. - Steven Benzel; Ana Stanescu 001 (ACM Southeast Regional Conference, 2020)

Paper Or IDE?: The Impact of Exam Format on Student Performance in a CS1 Course. - Jonathan Corley; Ana Stanescu 001; Lewis Baumstark; Michael C. Orsega (SIGCSE, 2020)

Measuring Traffic Congestion with Novel Metrics: A Case Study of Six U.S. Metropolitan Areas. - Jeong Seong; Yunsik Kim; Hyewon Goh; Hyunmin Kim; Ana Stanescu 001 (ISPRS Int. J. Geo Inf., 2023)

SOTU: A Motivational Example for Data Science Courses. - Steven Benzel; Ana Stanescu 001; Ping Ye (ACM Southeast Regional Conference, 2024)