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://sites.temple.edu/ticlj/files/2017/02/30.1.Scharre-TICLJ.pdf
Paul Scharre* Much of the debate on autonomous weapons presumes a choice between human versus autonomous decision-making over targeting and engagement decisions. In fact, in many situations, human-machine teaming in engagement decisions will not only be possible but preferable. Hybrid human-machine cognitive architectures will be able to leverage the precision and reliability of automation ...
https://cis.temple.edu/~wangp/5603-AI/Project/2022S/pattersonblaker/Ward_Patterson_Final_Report.pdf
1 Abstract Minecraft has been the focus of much AI research in past years. Most recently, interest has risen in procedural generation of settlements in Minecraft, largely due to a annual competition established in 2018 called the Generative Design in Minecraft Competition. Inspired by this recent research, we aim to develop a set of algorithms that are capable of building a realistic ...
https://cis.temple.edu/~latecki/Papers/PAMIshape08.pdf
The ASGs are matched with a graduated assign-mentalgorithm,whichconvertsthematchmatrix(0-1matrix) into a continuous matrix. This method can deal well with the occlusion problem, however, since the matching matrix is obtained using a heuristic rule, the graduated assignment algorithm can find only a suboptimal matching solution.
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/~jiewu/research/publications/Publication_files/AVOA_Fuzzy.pdf
Abstract—The Internet of Things (IoT) has rapidly grown in the past decade as an emerging technology. Due to the heterogeneity and energy limitations of IoT devices, adopting eficient management practices for developing IoT applications and managing IoT networks is a challenging task. One of the most critical IoT challenges that needs to be considered is routing due to its significant impact ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf
Abstract—Edge caching is a promising approach to reduce duplicate content transmission in Internet-of-Vehicles (IoVs). Sev-eral Reinforcement Learning (RL) based edge caching methods have been proposed to improve the resource utilization and reduce the backhaul trafic load. However, they only obtain the local sub-optimal solution, as they neglect the influence from environments by other ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/1-s2.0-S0957417424018475-main.pdf
However, due to the diversity and complexity, modeling human actions as general graphs and capturing discriminative spatial–temporal motion patterns is challenging. Besides, the inevitable interference, especially occlusion, impairs the robustness of existing methods that depend on complete skeletons. To solve these problems, we propose a Multi-Granular Spatial-Temporal Synchronous Graph ...