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Matthew Ciolino
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2020 – today
- 2023
- [i18]David Noever, Matthew Ciolino:
Professional Certification Benchmark Dataset: The First 500 Jobs For Large Language Models. CoRR abs/2305.05377 (2023) - [i17]David Noever, Matthew Ciolino:
Evaluating AI Vocational Skills Through Professional Testing. CoRR abs/2312.10603 (2023) - 2022
- [i16]Matthew Ciolino, Dominick Hambrick, David Noever:
Enhancing Satellite Imagery using Deep Learning for the Sensor To Shooter Timeline. CoRR abs/2203.00116 (2022) - [i15]Matthew Ciolino:
Image Compression and Actionable Intelligence With Deep Neural Networks. CoRR abs/2203.13686 (2022) - [i14]Grant Rosario, David Noever, Matthew Ciolino:
Soft-labeling Strategies for Rapid Sub-Typing. CoRR abs/2209.12684 (2022) - [i13]Matthew Ciolino, Grant Rosario, David Noever:
Soft Labels for Rapid Satellite Object Detection. CoRR abs/2212.00585 (2022) - [i12]David Noever, Matthew Ciolino:
The Turing Deception. CoRR abs/2212.06721 (2022) - 2021
- [i11]David Noever, Josh Kalin, Matthew Ciolino, Dom Hambrick, Gerry V. Dozier:
Local Translation Services for Neglected Languages. CoRR abs/2101.01628 (2021) - [i10]Matthew Ciolino, Josh Kalin, David Noever:
Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks. CoRR abs/2102.09695 (2021) - [i9]Matthew Ciolino, David Noever, Josh Kalin:
Multilingual Augmenter: The Model Chooses. CoRR abs/2102.09708 (2021) - [i8]Josh Kalin, David Noever, Matthew Ciolino:
A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models. CoRR abs/2103.02718 (2021) - [i7]Josh Kalin, David Noever, Matthew Ciolino, Dominick Hambrick, Gerry V. Dozier:
Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models. CoRR abs/2103.15897 (2021) - [i6]Josh Kalin, David Noever, Matthew Ciolino:
Color Teams for Machine Learning Development. CoRR abs/2110.10601 (2021) - 2020
- [c2]Matthew Ciolino, Josh Kalin, David Noever:
The Go Transformer: Natural Language Modeling for Game Play. AI4I 2020: 23-26 - [c1]Josh Kalin, Matthew Ciolino, David Noever, Gerry V. Dozier:
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing. AI4I 2020: 60-63 - [i5]David Noever, Wes Regian, Matthew Ciolino, Josh Kalin, Dom Hambrick, Kaye Blankenship:
Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures. CoRR abs/2001.05839 (2020) - [i4]Matthew Ciolino, David Noever, Josh Kalin:
The Go Transformer: Natural Language Modeling for Game Play. CoRR abs/2007.03500 (2020) - [i3]David Noever, Matthew Ciolino, Josh Kalin:
The Chess Transformer: Mastering Play using Generative Language Models. CoRR abs/2008.04057 (2020) - [i2]Josh Kalin, Matthew Ciolino, David Noever, Gerry V. Dozier:
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing. CoRR abs/2009.03136 (2020)
2010 – 2019
- 2019
- [i1]Matthew Ciolino, David Noever, Josh Kalin:
Training Set Affect on Super Resolution for Automated Target Recognition. CoRR abs/1911.07934 (2019)
Coauthor Index
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