Explainable Distance-Based Outlier Detection in Data Streams

Autor: Theodoros Toliopoulos, Anastasios Gounaris

Publikováno v: IEEE Access, Vol 10, Pp 47921-47936 (2022)

Explaining outliers is a topic that attracts a lot of interest; however existing proposals focus on the identification of the relevant dimensions. We extend this rationale for unsupervised distance-based outlier detection, and through investigating s

Externí odkaz: https://doaj.org/article/094e9f08d76d4f9f8119f571a0b8652f

Sboing4Real: A real-time crowdsensing-based traffic management system

Autor: Theodoros Toliopoulos, Nikodimos Nikolaidis, Anna-Valentini Michailidou, Andreas Seitaridis, Theodoros Nestoridis, Chrysa Oikonomou, Anastasios Temperekidis, Fotios Gioulekas, Anastasios Gounaris, Nick Bassiliades, Panagiotis Katsaros, Apostolos Georgiadis, Fotis K. Liotopoulos

Publikováno v: Journal of Parallel and Distributed Computing. 162:59-75

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9de2eb570a72664cdf8e2c76b2c483b1
https://doi.org/10.1016/j.jpdc.2022.01.017

Scalable real‑time health data sensing and analysis enabling collaborative care delivery

Autor: Ilias Dimitriadis, Ioannis Mavroudopoulos, Styliani Kyrama, Theodoros Toliopoulos, Anastasios Gounaris, Athena Vakali, Antonis Billis, Panagiotis Bamidis

This work describes a novel end-to-end data ingestion and runtime processing pipeline, which is a core part of a technical solution aiming to monitor frailty indices of patients during and after treatment and improve their quality of life. The focus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23f9e6db180bbc94526c9fa1071f3e1a

Event-Based Predictive Maintenance on Top of Sensor Data in a Real Industry 4.0 Case Study

Autor: Cosmas Vamvalis, Daniel Caljouw, Theodoros Toliopoulos, Georgia Kougka, Athanasios Naskos, Anastasios Gounaris

Publikováno v: Machine Learning and Knowledge Discovery in Databases ISBN: 9783030438869
PKDD/ECML Workshops (2)
Machine Learning and Knowledge Discovery in Databases-International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
Communications in Computer and Information Science
Communications in Computer and Information Science-Machine Learning and Knowledge Discovery in Databases

We deal with a real predictive maintenance case study encountered in modern Industry 4.0 settings: based on logs of past failures, we train a model to predict critical failures of equipment without any other domain expert knowledge well in advance. W

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d9821d42d9fee66961f80b3f1d53443
https://doi.org/10.1007/978-3-030-43887-6_28

Multi-parameter streaming outlier detection

Autor: Anastasios Gounaris, Theodoros Toliopoulos

Publikováno v: WI

Distance-based outlier detection techniques is a wide-spread methodology for anomaly detection. Despite their effectiveness, a main limitation is that they heavily rely on the dataset and the parameters chosen in order to establish the right status o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2ffb24bddde98fb6d575d654cdac4a99
https://doi.org/10.1145/3350546.3352520