Search Results - subject:"Novelty detection"

AI-based novelty detection in crowdsourced idea spaces

Just, Julian; Ströhle, Thomas; Füller, Johann; … - In: Innovation: organization & management : IOM 26 (2024) 3, pp. 359-386

Persistent link: https://www.econbiz.de/10015048855

Improving novelty detection by self-supervised learning and channel attention mechanism

Tian, Miao; Cui, Ying; Long, Haixia; Li, Junxia - In: Industrial Robot: the international journal of robotics … 48 (2021) 5, pp. 673-679

Purpose In novelty detection, the autoencoder based image reconstruction strategy is one of the mainstream solutions … the promising results. This paper aims to provide a new method for improving the performance of novelty detection based … sets show that the proposed method has potential performance for novelty detection. Originality/value This study explores …

Persistent link: https://www.econbiz.de/10014835965

From one-class to two-class classification by incorporating expert knowledge : novelty detection in human behaviour

Oosterlinck, Dieter; Benoit, Dries F.; Baecke, Philippe - In: European journal of operational research : EJOR 282 (2020) 3, pp. 1011-1024

Persistent link: https://www.econbiz.de/10012161837

Las Entidades Financieras a lo Largo del Ciclo de Negocios: ¿Es el Ciclo Financiero sensible al Ciclo de Negocios?

Rodríguez, Fernando Arias; Maldonado, Celina Gaitán; … - BANCO DE LA REPÚBLICA - 2014

segundo fundamentado en la información contenida en los datos (Novelty Detection). Se encuentra evidencia que apoya la idea de …

Persistent link: https://www.econbiz.de/10010764993

Las entidades financieras a lo largo del ciclo de negocios: ¿está el ciclo financiero sincronizado con el ciclo de negocios?

Rodríguez, Fernando Arias; Maldonado, Celina Gaitán; … - In: ENSAYOS SOBRE POLÍTICA ECONÓMICA (2014)

de difusión) y el segundo fundamentado en la información contenida en los datos (Novelty Detection). Se encuentra … based on information extracted from the data (Novelty Detection). Evidence is found to support the existence of …

Persistent link: https://www.econbiz.de/10011123061

A phase I multi-modelling approach for profile monitoring of signal data

Grasso, Marco; Colosimo, Bianca Maria; Tsung, Fugee - In: International journal of production research 55 (2017) 15/16, pp. 4354-4377

Persistent link: https://www.econbiz.de/10011671758

Novelty-focused weak signal detection in futuristic data : assessing the rarity and paradigm unrelatedness of signals

Kim, Jieun; Lee, Changyong - In: Technological forecasting & social change : an … 120 (2017), pp. 59-76

Persistent link: https://www.econbiz.de/10011886448

Using Contextual Information for Recognising Human Behaviour

Guesgen, Hans W.; Marsland, Stephen - In: International Journal of Ambient Computing and … 7 (2016) 1, pp. 27-44

Identifying human behaviours in smart homes from sensor observations is an important research problem. The addition of contextual information about environmental circumstances and prior activities, as well as spatial and temporal data, can assist in both recognising particular behaviours and...

Persistent link: https://www.econbiz.de/10012042635

Adaptive Mixture Discriminant Analysis for Supervised Learning with Unobserved Classes

Bouveyron, Charles - In: Journal of Classification 31 (2014) 1, pp. 49-84

In supervised learning, an important issue usually not taken into account by classical methods is that a class represented in the test set may have not been encountered earlier in the learning phase. Classical supervised algorithms will automatically label such observations as belonging to one...

Persistent link: https://www.econbiz.de/10010794937