https://cis.temple.edu/~latecki/Papers/mldm07.pdf
Abstract. Outlier detection has recently become an important prob-lem in many industrial and ̄nancial applications. In this paper, a novel unsupervised algorithm for outlier detection with a solid statistical foun-dation is proposed. First we modify a nonparametric density estimate with a variable kernel to yield a robust local density estimation. Out-liers are then detected by comparing the ...
https://www.fox.temple.edu/sites/fox/files/documents/Cummins%20Conference%202022/RILA_Moenig_JRI_final.pdf
Registered index-linked annuities (RILAs) are increasingly popular equity-based re-tirement savings products o ered by U.S. life insurance companies. They combine features of xed-index annuities and traditional variable annuities (TVAs), o ering in-vestors equity exposure with downside protection in a tax-deferred setting. This article introduces RILAs to the academic literature by describing ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICC2024.pdf
Abstract—Most intrusion detection systems (IDS) are vul-nerable to novel attacks and struggle to maintain a balance between high accuracy and a low false positive rate. Furthermore, the relevant features of Distributed Denial of Service (DDoS) attacks in conventional networks may not necessarily apply to the Software-defined network (SDN) environment. Additionally, weak feature selection ...
https://sites.temple.edu/newcombe/files/2013/06/Newcombe_et_al-2015-Wiley_Interdisciplinary_Reviews-_Cognitive_Science.pdf
There are many continuous quantitative dimensions in the physical world. Philo-sophical, psychological, and neural work has focused mostly on space and num-ber. However, there are other important continuous dimensions (e.g., time and mass). Moreover, space can be broken down into more specific dimensions (e.g., length, area, and density) and number can be conceptualized discretely or con ...
https://sites.temple.edu/cognitionlearning/files/2016/10/Park-et-al-2016_JEP.pdf
Although students’ motivational frameworks (entity vs. incremental) have been linked to academic achievement, little is known about how early this link emerges and how motivational frameworks develop in the first place. In a year-long study (student N 424, Teacher N 58), we found that, as early as 1st and 2nd grade, children who endorsed an incremental framework performed better on a ...
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 ...
https://cis.temple.edu/~latecki/Papers/PAMI_Jan2013.pdf
Affinity Learning with Diffusion on Tensor Product Graph Xingwei Yang, Lakshman Prasad, and Longin Jan Latecki, Senior Member, IEEE