Smart Water Futures: designing the next generation of urban drinking water systems

Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation

Autori: Jin Li; Kleanthis Malialis; Marios M. Polycarpou
Pubblicato in: 2023 International Joint Conference on Neural Networks (IJCNN), 2023
Editore: IEEE
DOI: 10.1109/ijcnn54540.2023.10191328

Operational Considerations for the long Long-term Design of Water Distribution Networks

Autori: Zanutto D., Castelletti A.F., Savic D.
Pubblicato in: 19th International Computing & Control for the Water Industry Conference, Leicester, UK, Numero 4-7 September 2023, 2023
Editore: Oxford Abstracts

Towards a Digital Twin for expanding the capabilities of Water Distribution Networks: The case study of the TUBES experimental network

Autori: Glynis K., Blokker M., Savic D., Kapelan Z.
Pubblicato in: 19th International Computing & Control for the Water Industry Conference, Leicester, UK, Numero 4-7 September 2023, 2023
Editore: Oxford Abstracts

A REVIEW ON STAGED DESIGN OF WATER DISTRIBUTION NETWORKS

Autori: Lydia Tsiami; Christos Makropoulos; Dragan Savic
Pubblicato in: Proc. 2nd International Joint Conference on Water Distribution Systems Analysis & Computing and Control in the Water Industry, Numero 18-22 July 2022, 2022, Pagina/e 11
Editore: UPV

One Explanation to Rule them All — Ensemble Consistent Explanations

Autori: André Artelt; Stelios Vrachimis; Demetrios Eliades; Marios Polycarpou; Barbara Hammer
Pubblicato in: Workshop on XAI at IJCAI 2022, Numero July 2022, 2022
Editore: Tim Miller

SAM-kNN Regressor for Online Learning in Water Distribution Networks

Autori: Jonathan Jakob; André Artelt; Martina Hasenjäger; Barbara Hammer
Pubblicato in: Proc. of ICANN 2022, Numero 15 (9), 2022, Pagina/e 752-762, ISBN 978-3-031-15933-6
Editore: Springer
DOI: 10.1007/978-3-031-15934-3_62

Spatial Graph Convolution Neural Networks for Water Distribution Systems

Autori: Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer
Pubblicato in: International Symposium on Intelligent Data Analysis, Numero April, 2023
Editore: Springer
DOI: 10.1007/978-3-031-30047-9_3

A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification

Autori: Kleanthis Malialis; Manuel Roveri; Cesare Alippi; Christos G. Panayiotou; Marios M. Polycarpou
Pubblicato in: Proc. of IEEE Symposium Series on Computational Intelligence (SSCI), Numero 4-7 December 2022, 2022, Pagina/e 1021-1027, ISBN 978-1-6654-8768-9
Editore: IEEE
DOI: 10.1109/ssci51031.2022.10022140

Reinforcement Learning for Adaptive Water Distribution Network Planning: Exploring its Feasibility and Potential

Autori: L. Tsiami, C. Makropoulos, and D. Savić
Pubblicato in: 19th International Computing & Control for the Water Industry Conference, Leicester, UK, Numero 4-7 September 2023, 2023
Editore: Oxford Abstracts

WaterSafe: A Water Network Benchmark for Fault Diagnosis Research

Autori: Vrachimis, Stelios G.; Santra, Srimanta; Agathokleous, Agathoklis; Pavlou, Pavlos; Kyriakou, Marios; Psaras, Michalis; Eliades, Demetrios G.; Polycarpou, Marios M.
Pubblicato in: Proc. 11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2022, Numero 8-10 June 2022, 2022, Pagina/e 6, ISSN 2405-8963
Editore: Elsevier Ltd
DOI: 10.1016/j.ifacol.2022.07.202

Sensor Selection for High-dimensional Swarm Systems Based on Observability Analysis

Autori: Meng, Qingkai; Polycarpou, Marios M.
Pubblicato in: 2023 31st Mediterranean Conference on Control and Automation (MED), Numero 7, 2023, ISBN 979-8-3503-1543-1
Editore: IEEE
DOI: 10.1109/MED59994.2023.10185854

Data Augmentation On-the-fly and Active Learning in Data Stream Classification

Autori: Kleanthis Malialis; Dimitris Papatheodoulou; Stylianos Filippou; Christos G. Panayiotou; Marios M. Polycarpou
Pubblicato in: Proc. of IEEE Symposium Series on Computational Intelligence (SSCI), Numero 4-7 December 2022, 2022, Pagina/e 1408-1414, ISBN 978-1-6654-8768-9
Editore: IEEE
DOI: 10.1109/ssci51031.2022.10022133

Battle of the Leakage Detection and Isolation Methods

Autori: Stelios G. Vrachimis; Demetrios G. Eliades; Riccardo Taormina; Zoran Kapelan; Avi Ostfeld; Shuming Liu; Marios Kyriakou; Pavlos Pavlou; Mengning Qiu; Marios M. Polycarpou
Pubblicato in: Journal Water Resources Planning and Management, Numero 148 (12), 2022, Pagina/e 20, ISSN 0733-9496
Editore: American Society of Civil Engineers
DOI: 10.1061/(asce)wr.1943-5452.0001601

Water for Tomorrow: A Living Lab on the Creation of the Science-Policy-Stakeholder Interface

Autori: Angelos Alamanos; Phoebe Koundouri; Lydia Papadaki; Tatiana Pliakou; Eleni Toli
Pubblicato in: Water, Numero 14 (18), 2022, Pagina/e 21, ISSN 2073-4441
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/w14182879

Model-based explanations of concept drift

Autori: Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
Pubblicato in: Neurocomputing, Numero 555, 2023, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2023.126640

Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning

Autori: Ulrike Kuhl, André Artelt, Barbara Hammer
Pubblicato in: Frontiers in Computer Science, Numero 5, 2023, ISSN 2624-9898
Editore: Frontiers
DOI: 10.3389/fcomp.2023.1087929

An Effective and Efficient Method for Identification of Contamination Sources in Water Distribution Systems Based on Manual Grab-Sampling

Autori: Yiran Ji; Feifei Zheng; Jiawen Du; Yuan Huang; Weiwei Bi; Huan-Feng Duan; Dragan Savic; Zoran Kapelan
Pubblicato in: Water Resources Research, Numero 58, 2022, Pagina/e e2022WR032784, ISSN 1944-7973
Editore: AGU
DOI: 10.1029/2022wr032784

Alternative Types of Ambiguity and their Effects on Climate Change Regulation

Autori: Phoebe KoundourI; Nikitas Pittis; Panagiotis Samartzis; Nikolaos Englezos; Andreas Papandreou
Pubblicato in: Open Research Europe, Numero 2 (9), 2022, Pagina/e 18, ISSN 2732-5121
Editore: DG RTD
DOI: 10.12688/openreseurope.14300.1

Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams

Autori: Jakob, Jonathan; Artelt, André; Hasenjäger, Martina; Hammer, Barbara
Pubblicato in: APPLIED ARTIFICIAL INTELLIGENCE, Numero 37, 2023, ISSN 1087-6545
Editore: Taylor & Francis
DOI: 10.1080/08839514.2023.2198846

Behavioral Economics and Neuroeconomics of Environmental Values

Autori: Koundouri, P., Hammer, B., Kuhl, U., Velias, A
Pubblicato in: Annual Review of Resource Economics, Numero 15, 2023, ISSN 1941-1340
Editore: Annual Reviews Inc.
DOI: 10.1146/annurev-resource-101722-082743

Nonstationary data stream classification with online active learning and siamese neural networks

Autori: Christos Panayiotou; Marios Polycarpou; Kleanthis Malialis
Pubblicato in: Neurocomputing, Numero 512(1), 2022, Pagina/e 235-252, ISSN 1872-8286
Editore: Elsevier B.V.
DOI: 10.48550/arxiv.2210.01090

Contamination event diagnosis in drinking water networks: A review

Autori: Demetrios G. Eliades, Stelios G. Vrachimis, Alireza Moghaddam, Ioannis Tzortzis, Marios M. Polycarpou
Pubblicato in: Annual Reviews in Control, Numero 55, 2023, Pagina/e 420-441, ISSN 1367-5788
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.arcontrol.2023.03.011

Optimal Control Approaches to Sustainability Under Uncertainty

Autori: Koundouri, P., Papayiannis, G.I., Yannacopoulos, A.N
Pubblicato in: SDGs in the European Region . Implementing the UN Sustainable Development Goals – Regional Perspectives, 2022, ISBN 978-3-030-91261-1
Editore: Springer
DOI: 10.1007/978-3-030-91261-1_46-1

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