My research interests include machine learning, data science, user modeling, cognitive modeling, and artificial intelligence in general. I’m also interested in broadening the participation and interest in computer science.
Burns, Richard, Sandra Carberry, and Stephanie Elzer Schwartz. An automated approach for the recognition of intended messages in grouped bar charts. Computational Intelligence. 2019; Volume 35, Issue 4, pp. 955–1002.
Groff, Zachary and Stephanie Schwartz. Data Preprocessing and Feature Selection for an Intrusion Detection System Dataset. In the Proceedings of the 34th Annual Conference of the Pennsylvania Computer and Information Science Educators (PACISE), Millersville, PA, April 12-13, 2019.
Thorpe, Jamie and Stephanie Schwartz. Using Machine Learning to Identify Phishing Attacks. In the Proceedings of the 32nd Annual Conference of the Pennsylvania Computer and Information Science Educators (PACISE), Edinboro, PA, March 31-April 1, 2017. Won award for best student paper.
Full textBurns, Richard, Eric Balawejder, Wiktoria Domanowska, Stephanie Elzer Schwartz and Sandra Carberry. Exploring the Types of Messages that Pie Charts Convey in Popular Media. To appear in the 9th Annual Conference on the Theory and Application of Diagrams, Lafayette Hill, PA, USA, August 7-10, 2016.
Full textMcIntosh, Shayne, Stephanie Schwartz and Gary Zoppetti. Optimizing the Multiclass Perceptron through Parameter Tuning and GPU Utilization. In the Proceedings of the 31st Annual Conference of the Pennsylvania Computer and Information Science Educators (PACISE), Kutztown, PA, April 1-2, 2016. Won award for best student paper.
Full textBurns, Richard, Sandra Carberry, and Stephanie Elzer Schwartz. Classifying Salient Textual Entities in the Headlines and Captions of Grouped Bar Charts. In Proceedings of the 28th International Florida Artificial Intelligence Research Society Conference, pp. 217-220, 2015.
Full textBurns, Richard, Sandra Carberry, and Stephanie Elzer Schwartz. Analyzing the Effect of Communicative Evidence in a Bayesian System for Grouped Bar Chart Message Recognition. 27th International FLAIRS Conference (Florida Artificial Intelligence Research Society), Pensacola Beach, FL, May 21-23, 2014, pp. 14-17.
Full textZevallos, Alyssa, and Stephanie Elzer Schwartz. Identification of Most Relevant Paragraph in an Article for a Bar Chart Using Machine Learning and Kullback-Leibler Divergence. In the Proceedings of the 29th Annual Conference of the Pennsylvania Computer and Information Science Educators (PACISE), California, PA, April 4-5, 2014. Won award for best student paper.
Full textBurns, Richard, Stephanie Elzer Schwartz, Sandra Carberry. Towards Adapting Information Graphics to Individual Users to Support Recognizing Intended Messages. First International Workshop on User-Adaptive Visualization (WUAV at International Conference on User Modeling, Adaptation and Personalization: UMAP '13), 2013.
Full textBurns, Richard, Sandra Carberry, and Stephanie Elzer Schwartz. Modeling a Graph Viewer's Effort in Recognizing Messages Conveyed by Grouped Bar Charts. In the Proceedings of the 21st Conference of User Modeling, Adaptation and Personalization (UMAP '13), pp. 114-126, 2013.
Full textDemir, Seniz, Stephanie Elzer Schwartz, Richard Burns and Sandra Carberry. What is being Measured in an Information Graphic? In the Proceedings of Computational Linguistics and Intelligent Text Processing (CICLING) 2013, Lecture Notes in Computer Science Volume 7816, 2013, pp 501-512.
Full textCarberry, Sandra, Stephanie Elzer, Kathleen McCoy, Seniz Demir, Peng Wu, Charles Greenbacker, Daniel Chester, Edward Schwartz, David Oliver, and Priscilla Moraes. Access to Multimodal Articles from Popular Media for Individuals with Sight Impairments. Transactions on Interactive Intelligent Systems, Volume 2, Issue 4, December 2012, article 21 pp. 1-49.
Full textBurns, Richard, Sandra Carberry, Stephanie Elzer, and Daniel Chester. Automatically Recognizing Intended Messages in Grouped Bar Charts. Proceedings of the Sixth International Conference on the Theory and Application of Diagrams, London, England, July, 2012, pp. 8-22. (won award for Best Student Paper).
Full textCarberry, Sandra, Stephanie Elzer, Richard Burns, Peng Wu, Daniel Chester, and Seniz Demir. Information Graphics in Multimodal Documents. In Multimedia Information Extraction, Mark T. Maybury, Editor, John Wiley & Sons, Inc, 2012, Chapter 15, pp 235-252.
Charles Greenbacker, Peng Wu, Sandra Carberry, Kathleen McCoy, Stephanie Elzer, David McDonald, Daniel Chester and Seniz Demir, Improving the Accessibility of Line Graphs in Multimodal Documents, In Proceedings of the EMNLP 2011 Workshop on Speech and Language Processing for Assistive Technologies (SLPAT), 2011, pp. 52-62.
Full textCharles Greenbacker, Peng Wu, Sandra Carberry, Stephanie Elzer, and Kathleen F. McCoy. Abstractive Summarization of Line Graphs from Popular Media, In Proceedings of the ACL-HLT 2011 Workshop on Summarization for Different Genres, Media and Languages, pp. 41-48, Portland, Oregon, June 2011.
Full textPape, Matthew, Robert Grube and Stephanie Elzer. Face the Waste: A Software Productization Center Project from the Computer Science Student’s Perspective, In the Proceedings 26th Annual Spring Conference of the Pennsylvania Computer and Information Science Educators (PACISE), April 2011, Shippensburg, PA, 90-94.
Full textStephanie Elzer, Sandra Carberry, and Ingrid Zukerman, The automated understanding of simple bar charts, Artificial Intelligence, Volume 175, Issue 2, February 2011, Pages 526-555, ISSN 0004-3702, DOI: 10.1016/j.artint.2010.10.003.
Full textSeniz Demir, David Oliver, Edward Schwartz, Stephanie Elzer, Sandra Carberry, Kathleen Mccoy, and Daniel Chester, Interactive SIGHT: textual access to simple bar charts. New Review of Hypermedia and Multimedia, 16(3), 2010, 245-279.
Patrick McCaskey, Stephanie Elzer, Nancy Mata and Amanda Godley, Software Productization Center and RunOff Studios: A Case Study. In the Proceedings of the 2010 Eastern SBI® Annual Meeting, Pittsburgh, PA, October,1-2, 2010, pp. 31-43.
Full textPeng Wu, Sandra Carberry, and Stephanie Elzer, "Segmenting Line Graphs into Trends," In the Proceedings of the Twelfth International Conference on Artificial Intelligence, Las Vegas, NV USA , July 2010, Volume II, pages 697-703.
Full textElyse Dougherty, Trevor Scheitrum, Stephanie Elzer, "Cruzcourt: A Software Productization Project from the Computer Science Students’ Perspective," In the Proceedings of the 25th Annual Conference of the Pennsylvania Computer and Information Science Educators (PACISE), West Chester, PA USA , April 2010.
Full textDavid Oliver and Stephanie Elzer, The User Interface for Interactive_SIGHT, In the Proceedings of the 25th Annual Conference of the Pennsylvania Computer and Information Science Educators (PACISE) , West Chester, PA USA , April 2010.
Full textSeniz Demir, David Oliver, Edward Schwartz, Stephanie Elzer, Sandra Carberry, and Kathleen F. McCoy, Interactive SIGHT into Information Graphics, In Proceedings of the 7th International Cross-Disciplinary Conference on Web Accessibility (W4A), Raleigh, NC, US, April 2010.
Full textPatrick McCaskey, Stephanie Elzer and Nancy Mata, Software Productization Center -- Small Business Institute ®: A Case Study of Cooperation, In the Proceedings of the 2010 Annual Meeting of the Small Business Institute ®, Albuquerque, NM USA, February 2010, Vol. 34, Issue 1, pages 218-223.
Full textRichard Burns, Sandra Carberry, Stephanie Elzer, Visual and Spatial Factors in a Bayesian Reasoning Framework for the Recognition of Intended Messages in Grouped Bar Charts, AAAI Workshop: Visual Representations and Reasoning, Technical Report WS-10-07 2010, pages 6-13.
Full textStephanie Elzer, Edward Schwartz, Sandra Carberry, Daniel Chester, Seniz Demir and Peng Wu, "Bar Charts in Popular Media: Conveying Their Message to Visually Impaired Users via Speech," in Advances in Intelligent Information Systems, Z. W. Ras, W. Ribarsky (Eds), Studies in Computational Intelligence, Volume 251, Springer, 2010, pages 275-298.
Full textRichard Burns, Stephanie Elzer and Sandra Carberry, "Modeling Relative Task Effort for Grouped Bar Charts," In Proceedings of the Annual Meeting of the Cognitive Science Society, Amsterdam, Netherlands, July 2009, pages 2292-2297.
Full textSeniz Demir; Sandra Carberry and Stephanie Elzer, "Issues in Realizing the Overall Message of a Bar Chart," in Recent Advances in Natural Language Processing V, Nicolas Nicolov, Galia Angelova, and Ruslan Mitkov (Eds) Current Issues in Linguistic Theory, John Benjamins 2009 , pages 311-320.
Full text2018 — Stephanie Schwartz — Millersville University