most citedUnsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences

8 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2025

Adaptive event-triggered robust tracking control of soft robots

Renjie Ma, Ziyao Qu, Zhijian Hu +2

Soft robots manufactured with flexible materials can be highly compliant and adaptive to their surroundings, which facilitates their application in areas such as dexterous manipula…

cs.AI2024

A Toolbox for Supporting Research on AI in Water Distribution Networks

André Artelt, Marios S. Kyriakou, Stelios G. Vrachimis +3

Drinking water is a vital resource for humanity, and thus, Water Distribution Networks (WDNs) are considered critical infrastructures in modern societies. The operation of WDNs is…

cs.LG2024★ 3 cited

Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification

Kleanthis Malialis, Jin Li, Christos G. Panayiotou +1

Data stream mining aims at extracting meaningful knowledge from continually evolving data streams, addressing the challenges posed by nonstationary environments, particularly, conc…

cs.CE2024★ 8 cited

Unsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences

Jin Li, Kleanthis Malialis, Christos G. Panayiotou +1

In the contemporary digital landscape, the continuous generation of extensive streaming data across diverse domains has become pervasive. Yet, a significant portion of this data re…

cs.RO2024★ 7 cited

Cooperative Receding Horizon 3D Coverage Control with a Team of Networked Aerial Agents

Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2

This work proposes a receding horizon coverage control approach which allows multiple autonomous aerial agents to work cooperatively in order cover the total surface area of a 3D o…