1. Using Student Characteristics for Machine Learning Modeling in Higher Education Alumni Giving Open Access Author: Mirabile, Dominic Title: Using Student Characteristics for Machine Learning Modeling in Higher Education Alumni Giving Area of Honors: Information Sciences and Technology Keywords: machine learningalgorithmshigher educationfundraisingartificial intelligence File: Download Thesis_Mirabile_Dominic.pdf Thesis Supervisors: Vasant Gajanan Honavar, Thesis SupervisorAndrea H Tapia, Thesis Honors AdvisorAndrea H Tapia, Faculty Reader
2. HOW THE SYMBIOSIS OF ARTIFICIAL INTELLIGENCE AND JOURNALISM WILL SHAPE THE FUTURE OF NEWS MEDIA Open Access Author: Berti, Ryan P Title: HOW THE SYMBIOSIS OF ARTIFICIAL INTELLIGENCE AND JOURNALISM WILL SHAPE THE FUTURE OF NEWS MEDIA Area of Honors: Journalism Keywords: artificial intelligencejournalismmachine learningaugmentationautomationrobot journalismfack-checkingpersonalizationautomated content File: Download Thesis_AI_Journalism_Ryan_Berti_1.mp4Download USEBerti_thesis_2.pdfDownload USEThesis_AI_Journalism_Ryan_Berti.mp4 Thesis Supervisors: Curtis William Chandler, Thesis SupervisorRussell Frank, Thesis Honors Advisor
3. Extending the Temporal Range of Hierarchical Deep Reinforcement Learning Open Access Author: De La Fuente Duran, Andres Title: Extending the Temporal Range of Hierarchical Deep Reinforcement Learning Area of Honors: Computer Science Keywords: machine learningreinforcement learningdeep neural networkstemporal abstractionhierarchical learningartificial intelligence File: Download honors_thesis__1_.pdf Thesis Supervisors: Vasant Gajanan Honavar, Thesis SupervisorDr. John Joseph Hannan, Thesis Honors Advisor
4. Applied Defenses Against Adversarial Attacks Open Access Author: Payne, Collin Michael Title: Applied Defenses Against Adversarial Attacks Area of Honors: Security and Risk Analysis Keywords: machine learningartificial intelligenceadversarial attackssecurity and risk analysismachine learning securityadversarial machine learningmachine learning defensecomputer vision File: Download SHC_Thesis_-_Collin_Payne_-_Final_Version.pdf Thesis Supervisors: Edward J Glantz, Thesis SupervisorEdward J Glantz, Thesis Honors AdvisorAlison Ryan Murphy, Faculty Reader
5. Modeling and Simulation of Renewable Energy Sources Using Machine Learning Techniques Open Access Author: Borochok, Anastasia Title: Modeling and Simulation of Renewable Energy Sources Using Machine Learning Techniques Area of Honors: Electrical Engineering Keywords: photovoltaicmachine learningnext generation reservoir computingrenewable energyartificial intelligenceenergyreservoir computingalgorithmspythoncoding File: Download Borochok_Anastasia_Thesis_Final.pdf Thesis Supervisors: Yan Li, Thesis SupervisorJulio Urbina, Thesis Honors Advisor
