https://www.fox.temple.edu/sites/fox/files/documents/CVs/xueming-luo-cv.pdf
Bio: Xueming Luo is the Charles Gilliland Distinguished Chair Professor of Marketing, Professor of Strategy, and Professor of MIS, and Founder/ Director of the Global Institute for Artificial Intelligence & Business Analytics in the Fox School of Business at Temple University. He is an interdisciplinary thought-leader in leveraging AI/ML algorithms, text/audio/image/video big data ...
https://www.fox.temple.edu/sites/fox/files/ISR-delayed-effects.pdf
Can location-based mobile promotion (LMP) trigger contemporaneous and delayed sales purchases? As mobile technologies can reach users anywhere and anytime, LMP becomes a promising new channel. We unravel the dynamic sales impact of LMP on the basis of a randomized field experiment with 22,000 mobile users sponsored by one of the largest mobile service providers in the world. Our identification ...
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://teaching.temple.edu/sites/teaching/files/resource/pdf/Dweck-Perils%20%26%20Promises%20of%20Praise.pdf
The wrong kind of praise creates self-defeating behavior. The right kind motivates students to learn.
https://cis.temple.edu/~latecki/Papers/GIFT-IEEEMM2017.pdf
Abstract—Projective analysis is an important solution in three-dimensional (3D) shape retrieval, since human visual perceptions of 3D shapes rely on various 2D observations from different viewpoints. Although multiple informative and discriminative views are utilized, most projection-based retrieval systems suffer from heavy computational cost, and thus cannot satisfy the basic requirement ...
https://teaching.temple.edu/sites/teaching/files/resource/pdf/TPACK.pdf
Abstract This paper describes a framework for teacher knowledge for technology integration called technological pedagogical content knowledge (originally TPCK, now known as TPACK, or technology, pedagogy, and content knowledge). This framework builds on Lee Shulman’s construct of pedagogical content knowledge (PCK) to include technology knowledge. The development of TPACK by teachers is ...
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/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://dabi.temple.edu/external/zoran/papers/Dunker_TPT.pdf
For ordered protein, the ensemble members all have the same time-averaged canonical set of Ramachandran angles along their backbones. For intrinsically disordered protein, the ensemble members have different (and typically dynamic) Ramachandran angles. Such disorder has been characterized by a variety of methods including x-ray crystallography, NMR spectroscopy, CD spectroscopy, and protease ...
https://cis.temple.edu/~latecki/Papers/SDM09_Final.pdf
Outlier detection techniques can be categorized into several groups: (1) statistical or distribution-based ap-proaches; (2) geometric-based approaches; (3) pro ̄ling methods; and (4) model-based approaches. In statisti-cal techniques [2, 3], the data points are typically mod-eled using a data distribution, and points are labeled as outliers depending on their relationship with the dis ...