Concept

Détection d'anomalies

Publications associées (217)

Strong Heuristics for Named Entity Linking

Robert West, Akhil Arora, Marko Culjak, Andreas Oliver Spitz

Named entity linking (NEL) in news is a challenging endeavour due to the frequency of unseen and emerging entities, which necessitates the use of unsupervised or zero-shot methods. However, such methods tend to come with caveats, such as no integration of ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2022

Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection

David Atienza Alonso, Tomas Teijeiro Campo, Una Pale

Long-term monitoring of patients with epilepsy presents a challenging problem from the engineering perspective of real-time detection and wearable devices design. It requires new solutions that allow continuous unobstructed monitoring and reliable detectio ...

2022

Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals

Paola Mejia Domenzain, Christian Giang, Mirko Marras

Learning journals are increasingly used in vocational education to foster self-regulated learning and reflective learning practices. However, for many apprentices, documenting working experiences is a difficult task. In this paper, we profile apprentices' ...

2022

The value of human data annotation for machine learning based anomaly detection in environmental systems

Damien Bouffard, Camille Roland Marie Minaudo

Anomaly detection is the process of identifying unexpected data samples in datasets. Automated anomaly detection is either performed using supervised machine learning models, which require a labelled dataset for their calibration, or unsupervised models, w ...

PERGAMON-ELSEVIER SCIENCE LTD2021

Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices

David Atienza Alonso, Amir Aminifar, Tomas Teijeiro Campo, Farnaz Forooghifar

Low-power wearable technologies offer a promising solution to pervasive epilepsy monitoring by removing the constraints concerning time and location, on one hand, and fulfilling long-term tracking, on the other hand. In the case of epileptic seizures, as t ...

2021

Dimensionality reduction and clustering of time series for anomaly detection in a supermarket heating system

Roberto Castello, Jean-Louis Scartezzini, Lorenzo Salmina

A timely identification of an anomalous functioning of the energy system of an industrial building would increase the efficiency and the resilience of the energy infrastructure, beside reducing the economic wastage. This work has been inspired by the need ...

IOP PUBLISHING LTD2021

Geographic footprints of life expectancy inequalities in the state of Geneva, Switzerland

Stéphane Joost, Idris Guessous, David Nicolas De Ridder, Anaïs Laurence Ladoy

Though Switzerland has one of the highest life expectancies in the world, this global indicator may mask significant disparities at a local level. The present study used a spatial cluster detection approach based on individual death records to investigate ...

NATURE PORTFOLIO2021

Vision-based Drone Flocking in Outdoor Environments

Dario Floreano, Fabrizio Schiano, Fabian Maximilian Schilling

Decentralized deployment of drone swarms usually relies on inter-agent communication or visual markers that are mounted on the vehicles to simplify their mutual detection. This letter proposes a vision-based detection and tracking algorithm that enables gr ...

2021

Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery

Devis Tuia, Diego Marcos Gonzalez

While annotated images for change detection using satellite imagery are scarce and costly to obtain, there is a wealth of unlabeled images being generated every day. In order to leverage these data to learn an image representation more adequate for change ...

Springer, Cham2021

Smart Portable Pen for Continuous Monitoring of Anaesthetics in Human Serum With Machine Learning

Sandro Carrara, Mandresy Ivan Ny Hanitra, Danilo Demarchi, Simone Aiassa

Continuous monitoring of anaesthetics infusion is demanded by anaesthesiologists to help in defining personalized dose, hence reducing risks and side effects. We propose the first piece of technology tailored explicitly to close the loop between anaesthesi ...

2021

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search