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research [2024/09/23 00:53] eruppertresearch [2024/11/13 21:54] (current) eruppert
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 ==== Recent Publications ==== ==== Recent Publications ====
 +
 +=== 2025 ===
 +
 +  * Younghun Roh, Panagiota Fatourou, Siddhartha Jayanti, [[https://www.eecs.yorku.ca/~eruppert|Eric Ruppert]], Julian Shun, Yuanhao Wei.  Aggregating Funnels for Faster Fetch&Add and Queues.  To appear in //Proc. ACM Symposium on Principles and Practice of Parallel Programming//, 2025.
  
 === 2024 === === 2024 ===
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   * Adam Lechowicz, Rik Sengupta, Bo Sun, [[https://www.eecs.yorku.ca/~kamalis|Shahin Kamali]], Mohammad Hajiesmaili.  Time Fairness in Online Knapsack Problems. In //Proc. 12th International Conference on Learning Representations//, 2024.   * Adam Lechowicz, Rik Sengupta, Bo Sun, [[https://www.eecs.yorku.ca/~kamalis|Shahin Kamali]], Mohammad Hajiesmaili.  Time Fairness in Online Knapsack Problems. In //Proc. 12th International Conference on Learning Representations//, 2024.
  
-  * Hossein Naderibeni, [[https://www.eecs.yorku.ca/~ruppert|Eric Ruppert]].  A Wait-free Queue with Polylogarithmic Step Complexity.  //Distributed Computing//, published online 2024.+  * Hossein Naderibeni, [[https://www.eecs.yorku.ca/~ruppert|Eric Ruppert]].  A Wait-free Queue with Polylogarithmic Step Complexity.  //Distributed Computing// 37(4):309-334, 2024.
  
   * Alireza Torabian, [[https://www.eecs.yorku.ca/~uruth|Ruth Urner]]. Investigating Calibrated Classification Scores Through the Lens of Interpretability.  In //Proc. Second World Conference on eXplainable Artificial Intelligence//, 2024.   * Alireza Torabian, [[https://www.eecs.yorku.ca/~uruth|Ruth Urner]]. Investigating Calibrated Classification Scores Through the Lens of Interpretability.  In //Proc. Second World Conference on eXplainable Artificial Intelligence//, 2024.
research.1727052788.txt.gz · Last modified: 2024/09/23 00:53 by eruppert

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