1 code implementation • 11 Oct 2022 • Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio Gonzalez
State-of-the-art flow anomaly detection methods rely on fixed memory using hash functions or nearest neighbors that may not be able to constrain high-frequency values as in a moving average or remove seamless outliers and cannot be trained in an end-to-end deep learning architecture.
no code implementations • 10 Oct 2022 • Joseph Gallego-Mejia, Daniela Martin-Vega, Fabio Gonzalez
Thus, the risk of a SEE in a future period can be predicted by a supervised machine learning method.
1 code implementation • Findings (EMNLP) 2021 • Yigeng Zhang, Mahsa Shafaei, Fabio Gonzalez, Thamar Solorio
In this paper, we introduce the task of predicting severity of age-restricted aspects of movie content based solely on the dialogue script.
no code implementations • 21 Nov 2014 • Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio Gonzalez, Anders B. L. Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Cireşan, Jürgen Schmidhuber, Alessandro Giusti, Luca M. Gambardella, F. Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frederic Precioso, Violet Snell, Josef Kittler, Teofilo E. de Campos, Adnan M. Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers.