https://www.fox.temple.edu/sites/fox/files/documents/Cummins%20Conference%202022/XiangHuBao-main-2022-03-23.pdf
The significant progress in information technologies promotes new venues in risk sharing and risk management practices (OECD, 2017). Just as peer-to-peer (P2P) lending platforms connected un-or under-financed borrowers to lenders, emerging fintech platforms can also be leveraged to reach traditionally un-insured or under-insured customers.2 This is exemplified by Xiang Hu Bao (XHB, meaning ...
https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf
Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...
https://cis.temple.edu/~tug29203/18spring-3329/reading/hw4a.pdf
c. Suppose that different VC numbers are permitted in each link along a VC’s path. During connection setup, after an end-to-end path is determined, describe how the links can choose their VC numbers and configure their for-warding tables in a decentralized manner, without reliance on a central node. P3. A bare-bones forwarding table in a VC network has four columns. What is the meaning of ...
https://www.fox.temple.edu/sites/fox/files/Complementarity-and-Cannibalization-of-Offline-to-Online-Targeting-A-Field-Experiment-on-Omnichannel-Commerce.pdf
However, it is debatable whether such offline-to-online tar-geting is effective. On the one hand, advocates argue that inducing offline customers to buy online may complement a firm’s store channel. This is because as more channels are used to engage customers, the value of these customers increases (Gimpel et al. 2018), and multichannel shoppers are more loyal and spend more than single ...
https://www.fox.temple.edu/sites/fox/files/Frontiers-Machines-versus-Humans-The-Impact-of-Artificial-Intelligence-Chatbot-Disclosure-on-Customer-Purchases.pdf
Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases Xueming Luo,aSiliang Tong,aZheng Fang,bZhe Quc
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://sites.temple.edu/ticlj/files/2017/02/30.1.Crootof-TICLJ.pdf
55. Kenneth Anderson, Daniel Reisner & Matthew Waxman, Adapting the Law of Armed Conflict to Autonomous Weapon Systems, 90 INT‘L L. STUD. 386, 410 (2014) (―The fundamental principle underlying the gradual development of [international humanitarian law] standards and rules alongside the evolution of automation technologies, however, should ...
https://sites.temple.edu/nickerson/files/2017/07/Bennion_Nickerson.2011.pdf
Abstract Lower transaction costs have shifted voter registration activities online and away from traditional modes of outreach. Downloading forms may impose higher transaction costs than traditional outreach for some people and thereby decrease electoral participation. A randomized, controlled experiment tested this hypothesis by encouraging treat-ment participants via e-mail to use online ...
https://cis.temple.edu/~latecki/Courses/CIS601-04/ProjectPapers/shapeRepPR04.pdf
Abstract More and more images have been generated in digital form around the world. There is a growing interest in 1nding images in large collections or from remote databases. In order to 1nd an image, the image has to be described or represented by certain features. Shape is an important visual feature of an image. Searching for images using shape features has attracted much attention. There ...
https://cis.temple.edu/~wu/research/publications/Publication_files/Joint%20Dynamic%20Grouping%20and%20Gradient%20Coding%20for%20Time-critical%20Distributed%20Machine%20Learning%20in%20Heterogeneous%20Edge%20Networks-FINAL-VERSION.pdf
Abstract—In edge networks, distributed computing resources have been widely utilized to collaboratively perform a machine learning task by multiple nodes. However, the model training time in heterogeneous edge networks is becoming longer because of excessive computation and delay caused by slow nodes, namely stragglers. The parameter server even abandons stragglers which fail to return ...