https://sites.temple.edu/tudsc/about/
Contacts Email: digitalscholarship@temple.edu Github: https://github.com/TempleDSS Twitter: @templedsc Instagram: @templedss For staff info, visit the Library’s new website staff directory. Location Loretta C. Duckworth Scholars Studio Charles Library, 3rd floor 1900 N. 13th Street Philadelphia, PA 19122
https://www.cis.temple.edu/~latecki/
Vivek Trivedy and Longin Jan Latecki. Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention Classification. Int. Joint Conf. on Artificial Intelligence (IJCAI), Jeju, South Korea, August 2024. pdf Qi Jia, Shuilian Yao, Youcan Xu, Yu Liu, Dehao Kong, and Longin Jan Latecki. Fuzzy Boundary-Guided Network for Camouflaged Object Detection. IEEE Int. Conf. on Multimedia ...
https://guides.temple.edu/datamgmt/toolssoftware
OpenRefine website OpenRefine wiki on GitHub Using OpenRefine by Ruben Verborgh; Max De Wilde Publication Date: 2013 Ebook
https://sites.temple.edu/pdames/
I received my BS and MS, both in Mechanical Engineering, from Northwestern University. While there, I worked with Prof. Kevin Lynch on several projects related to parameter identification of dynamic systems and non-grasping manipulation (e.g., rolling, sliding, and bouncing). Amazon Research Award
https://guides.temple.edu/c.php?g=936400&p=6879976
As with any data collection practice, it is always important to backup your data. Do this regularly and you will be in a much better place if anything happens to your data during the course of your research. REDCap is a great tool but has limited analysis capabilities and you will likely want to analyze your data in another program. REDCap has a number of export settings to allow you to export ...
https://chi.temple.edu/gao
Temple University's Center for Hybrid IntelligenceDr. Gao’s research interests lie in the intersection of machine learning and optimization, as well as their applications in practical data science problems. In particular, his research studies how to build effective machine learning models to deal with the intrinsic structures in the data, how to incorporate the domain knowledge into machine ...
https://guides.temple.edu/c.php?g=995754&p=7207090
This GitHub repository contains the entire Python Data Science Handbook, in the form of Jupyter notebooks.
https://cis.temple.edu/~ingargio/cis587/readings/id3-c45.html
Introduction ID3 and C4.5 are algorithms introduced by Quinlan for inducing Classification Models, also called Decision Trees, from data.
https://cis.temple.edu/~latecki/Papers/ACM_MM2023.pdf
ABSTRACT Image stitching aims to align a pair of images in the same view. Generating precise alignment with natural structures is challeng-ing for image stitching, as there is no wider field-of-view image as a reference, especially in non-coplanar practical scenarios. In this paper, we propose an unsupervised image stitching frame-work, breaking through the coplanar constraints in homography ...
https://engineering.temple.edu/directory/li-bai-lbai
Biography Dr. Li Bai is the Chair and Professor in the Electrical and Computer Engineering Department at Temple University. He has extensive research experience and expertise in distributed software computing, wireless sensor networks, system and software integration using commercial-off-the-shelf products and computer network security. He published over 60 peer-reviewed international journals ...