https://sites.temple.edu/nsfcareerakt/files/2022/01/Ding-et-al._Jan7_2022_OnlineFirsts.pdf
Abstract This study aims to explore teacher noticing diferences of the sampled US and Chinese elementary teachers from cross-cultural mathematics videos. A total of 34 expert teach-ers commented on 25 video clips online. We coded what and how teachers noticed from the videos both quantitatively and qualitatively. Findings reveal teachers’ strong interests and profound reflections, especially ...
https://cis.temple.edu/~wu/research/publications/Publication_files/J-CT-2024-Balancing%20Privacy%20and%20Accuracy%20using%20Siginificant%20Gradient%20Protection%20in%20Federated%20Learning.pdf
Abstract—Previous state-of-the-art studies have demonstrated that adversaries can access sensitive user data by membership inference attacks (MIAs) in Federated Learning (FL). Intro-ducing differential privacy (DP) into the FL framework is an effective way to enhance the privacy of FL. Nevertheless, in differentially private federated learning (DP-FL), local gradients become excessively ...
https://sites.temple.edu/nickerson/files/2017/07/Gerber_Green_Nickerson.PA_.2001.pdf
If the publication decisions of journals are a function of the statistical significance of re-search findings, the published literature may suffer from “publication bias.” This paper describes a method for detecting publication bias. We point out that to achieve statisti-cal significance, the effect size must be larger in small samples. If publications tend to be biased against ...
https://cis.temple.edu/tagit/publications/PAGI-TR-11.pdf
October 19, 2020 NARS (Non-Axiomatic Reasoning System) can be analyzed in three parts [Wang, 1995, Wang, 2006, Wang, 2013]:
https://cis.temple.edu/~latecki/Papers/CIDM07.pdf
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. This problem is further complicated by the fact that in many cases, outliers have to be detected from data streams that arrive at an enormous pace. In this paper, an incremental LOF (Local Outlier Factor) algorithm, appropriate for detecting outliers in data streams, is proposed ...
https://cis.temple.edu/~pwang/Publication/AI_Misconceptions.pdf
In the discussions on the limitation of Artificial Intelligence (AI), there are three major misconceptions, which identify an AI system with an ax-iomatic system, a Turing machine, and a system with a model-theoretic se-mantics, respectively. Though these three notions can be used to describe a computer system for certain purposes, they are not always the proper theoretical notions when an AI ...
https://sites.temple.edu/ticlj/files/2020/05/34.1_Article-D-Final-Format.pdf
World leaders and human rights groups have criticized the ICC as expensive and ineffective. This critique is essentially an attack on the court’s legitimacy. This Note argues that Bemba’s acquittal only serves to weaken that legitimacy. Beginning with an analysis of the majority and minority opinions, it then discusses how the decision will impact the ICC’s legitimacy by imposing ...
https://cis.temple.edu/tagit/presentations/Sparks%20of%20AGI%20Early%20Experiments%20with%20GPT4.pdf
Paper Review: 'Sparks of Artificial General Intelligence: Early experiments with GPT-4' Authors: Sebastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, Yi Zhang
https://cis.temple.edu/~latecki/Papers/CSD_CVPR10.pdf
Abstract In this paper, we propose a new shape decomposition method, called convex shape decomposition. We formal-ize the convex decomposition problem as an integer linear programming problem, and obtain approximate optimal so-lution by minimizing the total cost of decomposition under some concavity constraints. Our method is based on Morse theory and combines information from multiple Morse ...