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Search for publications relevant for "anomaly detection"
anomaly detection
Publication
Class
Person
Publication
Programmes
publication
A Toolbox for Realtime Timeseries Anomaly Detection
2020 |
Faculty of Mathematics and Physics
publication
A Framework for Tunable Anomaly Detection
2019 |
Faculty of Mathematics and Physics
publication
A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images
2021 |
Faculty of Medicine in Hradec Králové
publication
A novel use of equivalent mutants for static anomaly detection in software artifacts
2017 |
Faculty of Mathematics and Physics
publication
Incidence of chromosomal anomalies detected with FISH and their clinical correlations in B-chronic lymphocytic leukemia
2005 |
First Faculty of Medicine
publication
Detection of Erratic Behavior in Load Balanced Clusters of Servers Using a Machine Learning Based Method
2019 |
Faculty of Mathematics and Physics
publication
Anomaly detection search for new resonances decaying into a Higgs boson and a generic new particle X in hadronic final states using SQUARE ROOTs=13 TeV pp collisions with the ATLAS detector
2023 |
Faculty of Mathematics and Physics
publication
Detection of abnormality in wireless capsule endoscopy images using fractal features
2020 |
Faculty of Medicine in Hradec Králové
publication
Detecting Ottokar II's 1248-1249 uprising and its instigators in co-witnessing networks
2022 |
Faculty of Social Sciences
publication
Dijet Resonance Search with Weak Supervision Using root S=13 TeV pp Collisions in the ATLAS Detector
2020 |
Faculty of Mathematics and Physics
publication
Preimplantation Prenatal Diagnosis within the Framework of Reproductive Medicine and Rep-roductive Genetics
1999 |
First Faculty of Medicine, Faculty of Physical Education and Sport, Second Faculty of Medicine
publication
Metaverse and Medical Diagnosis: A Blockchain-Based Digital Twinning Approach Based on MobileNetV2 Algorithm for Cervical Vertebral Maturation
2023 |
Faculty of Medicine in Pilsen
publication
Toward Detecting Infection Incidence in People With Type 1 Diabetes Using Self-Recorded Data (Part 1): A Novel Framework for a Personalized Digital Infectious Disease Detection System
2020 |
First Faculty of Medicine