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Scott Lee
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2020 – today
- 2023
- [j2]Daniel S. Berger, Daniel Ernst, Huaicheng Li, Pantea Zardoshti, Monish Shah, Samir Rajadnya, Scott Lee, Lisa Hsu, Ishwar Agarwal, Mark D. Hill, Ricardo Bianchini:
Design Tradeoffs in CXL-Based Memory Pools for Public Cloud Platforms. IEEE Micro 43(2): 30-38 (2023) - [c15]Huaicheng Li, Daniel S. Berger, Lisa Hsu, Daniel Ernst, Pantea Zardoshti, Stanko Novakovic, Monish Shah, Samir Rajadnya, Scott Lee, Ishwar Agarwal, Mark D. Hill, Marcus Fontoura, Ricardo Bianchini:
Pond: CXL-Based Memory Pooling Systems for Cloud Platforms. ASPLOS (2) 2023: 574-587 - 2022
- [c14]Preston Putzel, Scott Lee:
Blackbox Post-Processing for Multiclass Fairness. SafeAI@AAAI 2022 - [c13]Micaela Siraj, Jacob Zelko, Elizabeth Shivers, Alexandra Trani, Charity A. Hilton, Scott Lee, Travis Hoppe, Juliana Cyril, Jon Duke:
Advancing Public Health Equity: A Proposed Framework across AI Workflows. AMIA 2022 - [i7]Preston Putzel, Scott Lee:
Blackbox Post-Processing for Multiclass Fairness. CoRR abs/2201.04461 (2022) - 2021
- [c12]Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez:
NBDT: Neural-Backed Decision Tree. ICLR 2021 - 2020
- [j1]Amy K. Hoover, Julian Togelius, Scott Lee, Fernando de Mesentier Silva:
The Many AI Challenges of Hearthstone. Künstliche Intell. 34(1): 33-43 (2020) - [i6]Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez:
NBDT: Neural-Backed Decision Trees. CoRR abs/2004.00221 (2020)
2010 – 2019
- 2019
- [c11]Dan Huang, Scott Lee:
A Self-Play Policy Optimization Approach to Battling Pokémon. CoG 2019: 1-4 - [c10]Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee, Matthew C. Fontaine, Julian Togelius, Amy K. Hoover:
Evolving the Hearthstone Meta. CoG 2019: 1-8 - [c9]Matthew C. Fontaine, Scott Lee, Lisa B. Soros, Fernando de Mesentier Silva, Julian Togelius, Amy K. Hoover:
Mapping hearthstone deck spaces through MAP-elites with sliding boundaries. GECCO 2019: 161-169 - [i5]Matthew C. Fontaine, Scott Lee, Lisa B. Soros, Fernando de Mesentier Silva, Julian Togelius, Amy K. Hoover:
Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries. CoRR abs/1904.10656 (2019) - [i4]Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee, Matthew C. Fontaine, Julian Togelius, Amy K. Hoover:
Evolving the Hearthstone Meta. CoRR abs/1907.01623 (2019) - [i3]Amy K. Hoover, Julian Togelius, Scott Lee, Fernando de Mesentier Silva:
The Many AI Challenges of Hearthstone. CoRR abs/1907.06562 (2019) - 2018
- [c8]Aditya Bhatt, Scott Lee, Fernando de Mesentier Silva, Connor W. Watson, Julian Togelius, Amy K. Hoover:
Exploring the hearthstone deck space. FDG 2018: 18:1-18:10 - [c7]Fernando de Mesentier Silva, Scott Lee, Julian Togelius, Andy Nealen:
Evolving maps and decks for ticket to ride. FDG 2018: 48:1-48:7 - [c6]Ahmed Khalifa, Scott Lee, Andy Nealen, Julian Togelius:
Talakat: bullet hell generation through constrained map-elites. GECCO 2018: 1047-1054 - [i2]Scott Lee:
Natural Language Generation for Electronic Health Records. CoRR abs/1806.01353 (2018) - [i1]Ahmed Khalifa, Scott Lee, Andy Nealen, Julian Togelius:
Talakat: Bullet Hell Generation through Constrained Map-Elites. CoRR abs/1806.04718 (2018) - 2017
- [c5]Fernando de Mesentier Silva, Scott Lee, Julian Togelius, Andy Nealen:
AI as Evaluator: Search Driven Playtesting of Modern Board Games. AAAI Workshops 2017 - [c4]Brian DeRenzi, Nicola Dell, Jeremy Wacksman, Scott Lee, Neal Lesh:
Supporting Community Health Workers in India through Voice- and Web-Based Feedback. CHI 2017: 2770-2781 - [c3]Scott Lee, Julian Togelius:
Showdown AI competition. CIG 2017: 191-198 - [c2]Fernando de Mesentier Silva, Scott Lee, Julian Togelius, Andy Nealen:
AI-based playtesting of contemporary board games. FDG 2017: 13:1-13:10 - 2016
- [c1]Brian DeRenzi, Jeremy Wacksman, Nicola Dell, Scott Lee, Neal Lesh, Gaetano Borriello, Andrew Ellner:
Closing the Feedback Loop: A 12-month Evaluation of ASTA, a Self-Tracking Application for ASHAs. ICTD 2016: 22
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