1. Subject Category Classification of Scholarly Papers Using Deep Attentive Neural Networks Open Access Author: Kandimalla, Bharath Title: Subject Category Classification of Scholarly Papers Using Deep Attentive Neural Networks Graduate Program: Computer Science and Engineering Keywords: text classificationscholarly big datatext miningattention modeldeep neural networksword embeddingweb of science File: Download bharath_mscs_final_thesis.pdf Committee Members: Clyde Lee Giles, Thesis Advisor/Co-AdvisorDaniel Kifer, Committee MemberChitaranjan Das, Program Head/Chair
2. Theoretically deriving computational limits of Artificial Neural Networks with bounded precision and time Restricted (Penn State Only) Author: Mali, Ankur Arjun Title: Theoretically deriving computational limits of Artificial Neural Networks with bounded precision and time Graduate Program: Information Sciences and Technology Keywords: Turing machineautomata theorydeep neural networksformal languagerecurrent neural networkartificial neural networkstheoretical limitsgrammatical inferencestate machinesmemory augmented neural networkslanguage modelling File: Login to Download Committee Members: C Lee Giles, Chair & Dissertation AdvisorAlexander Ororbia, Special MemberDaniel Kifer, Outside Unit & Field MemberKenneth Huang, Major Field MemberMary Beth Rosson, Program Head/ChairSharon Huang, Major Field Member