Recent Publications

Recent Publications and Scholarly Works

Publication: Delmar B. Davis, Jonathan Featherston, Munehiro Fukuda, Hazeline U. Asuncion. Data Provenance for Multi-Agent Models, In International Conference on eScience (eScience), 24-27 October 2017, Auckland, New Zealand.

Publication: Aboubakr Benabbas, Golnaz Elmamooz, Brent Lagesse, Daniela Nicklas, and Ute Schmid. Living Lab Bamberg: An infrastructure to explore smart city research challenges in the wild. Künstliche Intelligenz, September 2017, Berlin, Germany.

Publication: Sanders, K., Boustedt, J., Eckerdal, A., McCartney, R., & Zander, C. Folk Pedagogy : Nobody doesn’t like active learning. In Proc. 13th International Computing Education Research Conference (pp. 145–154), 18-20 August 2017, Tacoma, WA.

Publication: Nathaniel Grabaskas and Dong Si. Anomaly Detection from Kepler Satellite Time-Series Data. 13th International Conference on Machine Learning and Data Mining, 15 – 20 July 2017, New York, USA.

Publication: Ruth Ogunnaike and Dong Si. Prediction of Insurance Claim Severity Loss Using Regression Models. 13th International Conference on Machine Learning and Data Mining, 15 – 20 July 2017, New York, USA.

Publication: Lisa Kosiachenko and Dong Si. Classification of brain activity using brainwaves recorded by consumer-grade EEG devices. 12th International Conference on Mass Data Analysis of Images and Signals, 8 – 11 July 2017, New York, USA.

Publication: Jason Woodring, Matthew Sell, Munehiro Fukuda, Hazeline Asuncion, and Eric Salathe. A Multi-Agent Parallel Approach to Analyzing Large Climate Data Sets. International Conference on Distributed Systems (ICDCS), 5 – 8 June 2017, Atlanta, GA.

Publication: Albert Ng and Dong Si. Track one paper: Genetic Algorithm Based Beta-Barrel Detection for Medium Resolution Cryo-EM Density Maps. International Symposium on Bioinformatics Research and Applications (ISBRA), 29 May – 2 June 2017, Honolulu, HI. 

Publication: Todor Avramov and Dong Si. Comparison of Feature Reduction Methods and Machine Learning Models for Breast Cancer Diagnosis. 2017 International Conference on Compute and Data Analysis, 19 – 23 May 2017, Lakeland, FL.

Publication: Alan Burnett and Dong Si. Prediction of Injuries and Fatalities in Aviation Accidents through Machine Learning. 2017 International Conference on Compute and Data Analysis, 19 – 23 May 2017, Lakeland, FL.

Publication: Joe Ma and Dong Si. Analyze NYC transportation to mitigate speeding and explore new business models using Machine Learning. 2017 International Conference on Compute and Data Analysis, 19 – 23 May 2017, Lakeland, FL.

Publication: Michael Stiber, Fumitaka Kawasaki, Delmar Davis, Hazeline Asuncion, Jewel Yun-Hsuan Lee, and Destiny Boyer. BrainGrid+Workbench: High-Performance/High-Quality Neural Simulation. International Joint Conference on Neural Networks (IJCNN), 14 – 19 May 2017, Anchorage, AK.

Presentation: Laurie Anderson, Arkady Retik, and Subramanian Ramachandran. Poster: Two Active-Learning Teaching Approaches Converted from Lecture-Based Teaching. Teaching and Learning Workshop Symposium, 24 April 2017, Seattle, WA.

Publication: Yongjie Zheng, Cuong Cu, and Hazeline Asuncion. Mapping Features to Source Code through Product Line Architecture: Traceability and Conformance. International Conference on Software Architecture (ICSA), 3 – 7 April 2017, Gothenburg, Sweden.

Publication: Cody Burkard and Brent Lagesse. Analysis of Causative attacks against SVMs Learning from Data Streams. International Workshop on Security and Privacy Analytics, 24 March 2017, Scottsdale, AZ.

Publication: Ruth Ogunnaike and Brent Lagesse. Toward Consumer-Friendly Security in Smart Environments.  IEEE Pervasive Computing Workshop on Security, Privacy, and Trust in the Internet of Things (SPT-IoT), 14 – 18 March 2017, Kona, HI.

Presentation: Brent Lagesse. Privacy Challenges in Pervasive Living Spaces. IEEE Workshop on Pervasive Smart Living Spaces, 13 March 2017, Kona, HI.

Presentation: Brent Lagesse. Automated Laboratory Generation for Yakama Nations Students. NSF Project Showcase at Special Interest Group on Computer Science Education (SIGSE), 10 March 2017, Seattle, WA.

Publication: Gautam Kumar and Brent Lagesse. Limited Use Cryptographic Tokens in Securing Ephemeral Cloud Servers. International Conference on Information Systems Security and Privacy (ICISSP), 19 – 21 February 2017, Porto, Portugal.

Publication: Tyler Folsom. E-book: The Goddess at the Helm: Where technology is taking us, and how activists can change the course. This book discusses the foundations of science and places artificial intelligence in a broad social context, 4 February 2017.

Presentation: Tyler Folsom and 12 other innovative teams were honored at Amazon Catalyst Fellows Dinner on 26 January 2017. Each team gave a short presentation on their project and six students from the Self-Driving Bike team attended.

Presentation: Johnny Lin. How the Nature of Nature and the Nature of Science Affects the Nature of Environmental Stewardship. American Meteorological Society, 12th Symposium on Societal Applications: Policy, Research and Practice, 24 January 2017, Seattle, WA.

Event: Johnny Lin. Seventh Symposium on Advances in Modeling and Analysis Using Python. Chaired the American Meteorological Society's annual meeting, 23 – 24 January 2017, Seattle, WA.

Event: Johnny Lin. Short course taught: A Beginnerʼs Course to Using Python in Climate and Meteorology. American Meteorological Society, 21 – 22 January 2017, Seattle, WA.

Publication: Subha Vasudevan, William Pfeffer, Delmar Davis, and Hazeline Asuncion. Improving Data Provenance Reconstruction via a Multi-Level Funneling Approach. The 12th International Conference on eScience, 24 – 26 October 2016, Baltimore, MD.

Presentation: Subha Vasudevan. Poster: Optimized Provenance Reconstruction using Genetic Algorithm. Grace Hopper Celebration of Women in Computing (GHC), 19 – 21 October 2016, Houston, TX.