1. Adaptive and Effective Fuzzing: a Data-Driven Approach She, Dongdong 2023 Theses Computer scienceComputer security--Computer programsMalware (Computer software)Machine learningGoogle (Firm)Microsoft Corporation
2. Algorithm-Hardware Co-design for Ultra-Low-Power Machine Learning and Neuromorphic Computing Wang, Dewei 2023 Theses Electrical engineeringMachine learningNeuromorphicsArtificial intelligenceInternet of thingsNeural networks (Computer science)
3. Complaint Driven Training Data Debugging for Machine Learning Workflows Flokas, Lampros 2023 Theses Computer scienceMachine learningDebugging in computer science--Computer programs
4. Deciphering complex diseases by engineered tissues and multimodal data integration He, Siyu 2023 Theses Biomedical engineeringTissue engineeringMachine learningProteus syndromeBreast--Cancer
5. "Evaluating the “Road to Reform” for New York City’s Property Tax System: Considerations for Single-Unit Residential Properties and Predictive Modeling as Practice for Local Governance" Lee, Lizzie (Yea Won) 2023 Theses City planning--Economic aspectsProperty taxMachine learningDecision makingReal property and taxationReal property tax
6. Integrating Machine Learning and Optimization for Problems in Contextual Decision-Making and Dynamic Learning Zhao, Yunfan 2023 Theses Operations researchMachine learningDecision makingCombinatorial optimizationPricing--Decision makingReinforcement learning
7. Interpretable Machine Learning for the Social Sciences: Applications in Political Science and Labor Economics Vafa, Keyon 2023 Theses Artificial intelligenceMachine learningLabor economicsDecision makingWages--Women
8. Linking phylogenetic models to population processes, from species trees to genomes McKenzie, Patrick Franklin 2023 Theses Evolution (Biology)GeneticsPhylogenyGenomicsGenomesMachine learningGene flow
9. Machine Learning Framework for Causal Modeling for Process Fault Diagnosis and Mechanistic Explanation Generation Sivaram, Abhishek 2023 Theses Chemical engineeringArtificial intelligenceMachine learningDeep learning (Machine learning)Neural networks (Computer science)--Mathematical models
10. Modeling Nonignorable Missingness with Response Times Using Tree-based Framework in Cognitive Diagnostic Models Yang, Yi 2023 Theses Cognitive Diagnostic BatteryEducation--Computer-assisted instructionDecision treesMachine learningBayesian statistical decision theoryMonte Carlo method