Thanos Gentimis

Predicting Hospital Length of Stay Using Neural Networks on MIMIC III Data

Robert Steele, Kyle Cook, Thanos Gentimis, 2017, 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech).

An entropy-based persistence barcode

Rocío González-Díaz, Hamid Krim, Thanos Gentimis, 2015, Pattern Recognit..

Multi-level scene understanding via hierarchical classification

Hamid Krim, Xiao Bian, Hamilton Scott Clouse, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

First Study on Data Readiness Level pdf

Hamid Krim, Hui Guan, Thanos Gentimis, 2017, ArXiv.

Discovering the Whole by the Coarse: A topological paradigm for data analysis

Hamid Krim, Thanos Gentimis, Harish Chintakunta, 2016, IEEE Signal Processing Magazine.

Persistent Homology of Delay Embeddings and its Application to Wheeze Detection

Hamid Krim, Thanos Gentimis, Saba Emrani, 2014, IEEE Signal Processing Letters.

Predicting hospital length of stay using neural networks

Robert Steele, Kyle Cook, Thanos Gentimis, 2019, Int. J. Big Data Intell..

Modeling Collaborations with Persistent Homology pdf

Thanos Gentimis, Maria Bampasidou, 2014, ArXiv.

Asymptotic dimension of finitely presented groups

Thanos Gentimis, 2006 .