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Daniel E. Capecci
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Journal Articles
- 2023
- [j3]David Selasi Koblah, Rabin Yu Acharya
, Daniel E. Capecci
A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation. ACM Trans. Design Autom. Electr. Syst. 28(2): 16:1-16:57 (2023) - 2022
- [j2]Hanyu Shi, Mirela Silva, Luiz Giovanini, Daniel E. Capecci, Lauren Czech, Juliana Fernandes, Daniela Oliveira:
Lumen: A machine learning framework to expose influence cues in texts. Frontiers Comput. Sci. 4 (2022) - 2019
- [j1]Tian Lin
Susceptibility to Spear-Phishing Emails: Effects of Internet User Demographics and Email Content. ACM Trans. Comput. Hum. Interact. 26(5): 32:1-32:28 (2019)
Conference and Workshop Papers
- 2024
- [c3]Olivia P. Dizon-Paradis, Stephen E. Wormald, Daniel E. Capecci, Avanti Bhandarkar, Damon L. Woodard:
Resource Usage Evaluation of Discrete Model-Free Deep Reinforcement Learning Algorithms. RLC 2024: 2162-2177 - 2022
- [c2]Brodie Mather, Ian Perera, Vera A. Kazakova, Daniel E. Capecci, Muskan Garg, Damon L. Woodard, Bonnie J. Dorr:
Vision: Explainable Hidden Mental States as Influence Indicators. ICWSM Workshops 2022 - [c1]Nathan Jessurun, Daniel E. Capecci, Olivia P. Dizon-Paradis, Damon L. Woodard, Navid Asadizanjani:
Semi-Supervised Semantic Annotator (S3A): Toward Efficient Semantic Labeling. SciPy 2022: 7-12
Informal and Other Publications
- 2022
- [i2]David Selasi Koblah, Rabin Yu Acharya, Daniel E. Capecci, Olivia P. Dizon-Paradis, Shahin Tajik, Fatemeh Ganji, Damon L. Woodard, Domenic Forte
A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation. CoRR abs/2204.09579 (2022) - 2021
- [i1]Hanyu Shi, Mirela Silva, Daniel E. Capecci, Luiz Giovanini, Lauren Czech, Juliana Fernandes, Daniela Oliveira:
Lumen: A Machine Learning Framework to Expose Influence Cues in Text. CoRR abs/2107.10655 (2021)
Coauthor Index
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