Anna Khalemsky

According to our database, Anna Khalemsky authored at least 4 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Artificial Intelligence-powered tiered early warning framework addressing high false alarm rates for in-hospital mortality prediction.

Lijuan Wu, Liyi Mai, Hongnian Wang, Jinxin Huang, Xinrong He, Xueyun Zhan, Anna Khalemsky, Vijaya Arun Kumar, James H. Paxton, Dionyssios Tsilimingras, Said Hachimi-Idrissi, Shan W. Liu, Gabriele Savioli, Niels K. Rathlev, Karim Tazarourte, Anna Slagman, Michael Christ, Muhammad Qureshi, Hani Hariri, Shamai A. Grossman, Bei Hu, Huajun Wang, Binbin He, Phillip D. Levy, Brian J. O'neil, Seth Gemme, Lisa Kurland, Eddy Lang, Jinle Lin, Huiying Liang, Xin Li, Abdelouahab Bellou

npj Digit. Medicine, 2026

2021

ExpanDrogram: Dynamic Visualization of Big Data Segmentation over Time.

Anna Khalemsky, Roy Gelbard

ACM J. Data Inf. Qual., 2021

2020

A dynamic classification unit for online segmentation of big data via small data buffers.

Anna Khalemsky, Roy Gelbard

Decis. Support Syst., 2020

2018

Dynamic Classifier and Sensor Using Small Memory Buffers.

Roy Gelbard, Anna Khalemsky

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2018