Search Results for author:
Found 4 papers, 2 papers with code
InQMAD: Incremental Quantum Measurement Anomaly Detection
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.
Risk Automatic Prediction for Social Economy Companies using Camels
Thus, the risk of a SEE in a future period can be predicted by a supervised machine learning method.
From None to Severe: Predicting Severity in Movie Scripts
In this paper, we introduce the task of predicting severity of age-restricted aspects of movie content based solely on the dialogue script.
Assessment of algorithms for mitosis detection in breast cancer histopathology images
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.
