Faculty Scholarship | Analytics and Operations Management | Bucknell University
 

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Submissions from 2025

Engineering Economy, William Sullivan, Elin Wicks, and Joseph Wilck

Submissions from 2024

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Ethical challenges for same-day delivery contractors, Chun-Miin (Jimmy) Chen and Xinwei Chen

Using the moral intensity framework to examine whether colleges should have reopened in late 2020 for in-person learning: an in-depth analysis of data from the United States with global implications for higher education, Scott McCoy, Jesse Pietz, and Joseph Wilck

Put Your Name on It? The Company Characteristics and Financial Performance of Sports’ Stadium Sponsorship, Joey Smith and Joseph Wilck

Submissions from 2023

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Budget Variance Analysis for Various Numbers and Combinations of Responsibility Centers, Craig M. Sorochuk, Joseph Wilck, and Lawrence M. Leemis

Six Principles for the Effective Use of ChatGPT and other Large Language Models in Accounting, Daniel Street, Joseph Wilck, and Zachariah Chism

Submissions from 2022

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Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm, Aidan Good, Jiaqi Lin, Hannah Sieg, Mikey Ferguson, Xin Yu, Shandian Zhe, Jerzy Wieczorek, and Thiago Serra

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Training Thinner and Deeper Neural Networks: Jumpstart Regularization, Carles Riera, Camilo Rey, Thiago Serra, Eloi Puertas, and Oriol Pujol

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What do machines learn, and when do they forget?, Thiago Serra

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The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks, Xin Yu, Thiago Serra, Srikumar Ramalingam, and Shandian Zhe

Submissions from 2021

Price and revenue bounds for bundles of information goods, Mihai Banciu, Fredrik Odegaard, and Alia C. Stanciu

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Simulating Influenza Epidemics with Waning Vaccine Immunity, Chun-Miin Chen and Alia C. Stanciu

Implications of the Stability Analysis of Preferences for Personalised Colorectal Cancer Screening, M. Gabriela Sava, Alia C. Stanciu, James G. Dolan, and Jerrold H. May

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Template-based Minor Embedding for Adiabatic Quantum Optimization, Thiago Serra, Teng Huang, Arvind Raghunathan, and David Bergman

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System and method for scheduling multiple modes of transport with incomplete information, Thiago Serra, Arvind Raghunathan, and David Bergman

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Scaling Up Exact Neural Network Compression by ReLU Stability, Thiago Serra, Xin Yu, Abhinav Kumar, and Srikumar Ramalingam

Submissions from 2020

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Enumerative Branching with Less Repetition, Thiago Serra

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Reformulating the Disjunctive Cut Generating Linear Program, Thiago Serra

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When Lift-and-Project Cuts are Different, Thiago Serra and Egon Balas

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Lossless Compression of Deep Neural Networks, Thiago Serra, Abhinav Kumar, and Srikumar Ramalingam

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Seamless Benchmarking of Mathematical Optimization Problems and Metadata Extensions, Thiago Serra and Ryan J. O'Neil

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Empirical Bounds on Linear Regions of Deep Rectifier Networks, Thiago Serra and Srikumar Ramalingam

Submissions from 2010

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A Revenue Management Approach for Managing Operating Room Capacity, Alia C. Stanciu, Luis G. Vargas, and Jerrold May

Submissions from 2008

Operating Room Scheduling and Capacity Planning, Luis G. Vargas, Jerrold May, William Spangler, Alia C. Stanciu, and David P. Strum