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Nicholas Gisolfi

Nick Gisolfi

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Books and Theses

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2022
[b1]
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Nicholas Gisolfi:
Model-Centric Verification of Artificial Intelligence. Carnegie Mellon University, USA, 2022

Journal Articles

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2023
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Jack H. Good, Nicholas Gisolfi, James Kyle Miller, Artur Dubrawski:
Verification of Fuzzy Decision Trees. IEEE Trans. Software Eng. 49(5): 3277-3288 (2023)

Conference and Workshop Papers

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2024
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Angela Chen, Nicholas Gisolfi, Artur Dubrawski:
Data-Driven Discovery of Design Specifications (Student Abstract). AAAI 2024: 23449-23450
2023
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Prakruthi Pradeep, Benedikt Boecking, Nicholas Gisolfi, Jacob R. Kintz, Torin K. Clark, Artur Dubrawski:
Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract). AAAI 2023: 16304-16305
2022
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Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James Kyle Miller, Artur Dubrawski:
Actionable Model-Centric Explanations (Student Abstract). AAAI 2022: 13019-13020
2018
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Nick Gisolfi, Artur Dubrawski:
Revealing Actionable Simplicity in Data. AAAI Spring Symposia 2018
2015
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Matt Barnes, Nick Gisolfi, Madalina Fiterau, Artur Dubrawski:
Leveraging Common Structure to Improve Prediction across Related Datasets. AAAI 2015: 4144-4145
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Nick Gisolfi, Madalina Fiterau, Artur Dubrawski:
Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System. AAAI 2015: 4164-4165

Informal and Other Publications

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2024
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Chufan Gao, Nicholas Gisolfi, Artur Dubrawski:
Signal Quality Auditing for Time-series Data. CoRR abs/2402.00803 (2024)
2021
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Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James Kyle Miller, Artur Dubrawski:
Provably Robust Model-Centric Explanations for Critical Decision-Making. CoRR abs/2110.13937 (2021)

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