1. HYBRID NETWORK OF HANDCRAFTED AND NON-HANDCRAFTED FEATURES FOR COMPUTER VISION CLASSIFICATION TASKS Open Access Author: Protivash, Prottay Title: HYBRID NETWORK OF HANDCRAFTED AND NON-HANDCRAFTED FEATURES FOR COMPUTER VISION CLASSIFICATION TASKS Area of Honors: Computer Engineering Keywords: CNNMachine LearningHybrid NetworkHandcrafted Features File: Download Protivash_Prottay_HYBRID_CNN.pdf Thesis Supervisors: John Morgan Sampson, Thesis SupervisorDr. Vijaykrishnan Narayanan, Thesis Honors Advisor
2. COMPARISON OF SIMILARITY FUNCTIONS FOR VECTOR AGGREGATION IN NETWORK REPRESENTATION LEARNING MODELS Open Access Author: Colom, Daniel A Title: COMPARISON OF SIMILARITY FUNCTIONS FOR VECTOR AGGREGATION IN NETWORK REPRESENTATION LEARNING MODELS Area of Honors: Computer Engineering Keywords: Machine LearningNeural NetworkInformation NetworkRepresentation LearningSimilarity Functions File: Download Daniel_Colom_Thesis.pdf Thesis Supervisors: Wang-Chien Lee, Thesis SupervisorDr. Jesse Louis Barlow, Thesis Honors Advisor
3. Towards Applying Machine Learning Technique For Fault Localization Open Access Author: Mao, Jianyu Title: Towards Applying Machine Learning Technique For Fault Localization Area of Honors: Computer Engineering Keywords: Fault LocalizationMachine Learning File: Download JmThesis.pdf Thesis Supervisors: Danfeng Zhang, Thesis SupervisorJohn Morgan Sampson, Thesis Honors Advisor
4. Using a UAV and Edge Computing to Identify and Throw Away Trash Open Access Author: Eden, Grant Title: Using a UAV and Edge Computing to Identify and Throw Away Trash Area of Honors: Computer Engineering Keywords: UAVDroneMachine LearningEdge ComputingDeep Learning File: Download ThesisHonorsGrantEden.pdf Thesis Supervisors: Vijaykrishnan Narayanan, Thesis SupervisorJohn Morgan Sampson, Thesis Honors Advisor
5. Scalability Study of Machine Learning Algorithm Teaching and Inference on Central Processing Units Open Access Author: Mehra, Swasti Title: Scalability Study of Machine Learning Algorithm Teaching and Inference on Central Processing Units Area of Honors: Computer Engineering Keywords: Machine LearningOperating SystemsScalabilityTensorFlow File: Download Swasti_Mehra_Thesis_Final_1.pdf Thesis Supervisors: Anand Sivasubramaniam, Thesis SupervisorChitaranjan Das, Thesis Honors Advisor
6. UNDERSTANDING DOUBLE DESCENT BEHAVIOR IN DEEP LEARNING NEURAL NETWORKS Open Access Author: Dutta, Shubhangam Title: UNDERSTANDING DOUBLE DESCENT BEHAVIOR IN DEEP LEARNING NEURAL NETWORKS Area of Honors: Computer Engineering Keywords: Deep LearningNeural NetworksDouble DescentMachine Learning File: Download SHC_thesis_Double_Descent.pdf Thesis Supervisors: Mehrdad Mahdavi, Thesis SupervisorJohn Morgan Sampson, Thesis Honors Advisor
7. Road Traffic Crash Severity Prediction Using Multi-State Data Open Access Author: England, Thomas M Title: Road Traffic Crash Severity Prediction Using Multi-State Data Area of Honors: Computer Engineering Keywords: Machine LearningCrash Severity PredictionDecision TreeNeural NetworkData Processing File: Download Thomas_England_Thesis_2021__1_.pdf Thesis Supervisors: Kamesh Madduri, Thesis SupervisorJohn Morgan Sampson, Thesis Honors Advisor
8. Optimized Machine Learning via Brain-Inspired Neuromorphic Algorithms Open Access Author: Mitrik, Andre Title: Optimized Machine Learning via Brain-Inspired Neuromorphic Algorithms Area of Honors: Computer Engineering Keywords: Machine LearningSpiking Neural NetworksBackpropagationPrincipal Component AnalysisNeural Networks File: Download Andre_Mitrik_Thesis.pdf Thesis Supervisors: Abhronil Sengupta, Thesis SupervisorJohn Morgan Sampson, Thesis Honors Advisor
9. Collusion Detection in Auctions Using Machine Learning Algorithms Restricted (Penn State Only) Author: Rathi, Muskan Title: Collusion Detection in Auctions Using Machine Learning Algorithms Area of Honors: Computer Engineering Keywords: EconomicsComputational EconomicsCollusionAuctionAuction EquilibriumBayes Nash EquilibriumMachine Learning File: Login to Download Thesis Supervisors: Nima Haghpanah, Thesis SupervisorJohn Morgan Sampson, Thesis Honors Advisor
