2016 Summer Interns

Here is the proceedings document containing all the papers. The papers are available individually below.

• Cora Coleman, New College of Florida, Sarasota, FL: An Open Set Protocol for Improving Malware Classification in Intrusion Detection
• Andrea Costas, Rice University, Houston, TX: Improving Partial Fingerprint Recognition
• David Foley, Kutztown University of Pennsylvania, Kutztown, PA: Integrating WordNet for Multi-sense Word Embeddings in Vector Semantics
• Abigail Graese, University of Colorado, Colorado Springs, CO: Assessing Threat of Adversarial Examples on Deep Neural Networks
• Nathan Harmon, University of Colorado, Colorado Springs, CO: Computation Pattern Classification for Optimization
• Kyra Yee, Pomona College, Claremont, CA: Composition of Compound Nouns Using Distributional Semantics
• Kamal Kamalaldin, Kalamazoo College, Kalamazoo, MI: Classifying and Localizing Epileptic Brain States Using Structural Features of Neuronal Sugihara Causation Networks
• Alayna Kennedy, Pennsylvania State University, State College, PA: Optimization of Neural Network Architecture for Biomechanics Classification Tasks with Electromyograph Inputs
• Liam Schramm, Bard College, Annandale-on-Hudson, NY: Improving Performance of Search Repair Using Fast Learned Heuristics
• Matthew Simpson, North Carolina State University, Raleigh, NC: Application of Machine Learning to Choice of Algorithms in Computational Software
• Simon Ellis, Andrea McGeorge and Celeste Puccio, Academy International Elementary School, Colorado Springs, CO: A Proposal for Implementing Machine Learning Educational Application in an Elementary School Setting