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

Experimental setup for measuring the effect of biofilm build-up on heat transfer in drinking water pipes

Autori: Glynis K., Blokker M., Savic D., Kapelan Z.
Pubblicato in: 2024
Editore: WDSA/CCWI

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: Proceedings - 2nd International Join Conference on Water Distribution System Analysis (WDSA)& Computing and Control in the Water Industry (CCWI), 2024
Editore: Editorial Universitat Politècnica de València
DOI: 10.4995/wdsa-ccwi2022.2022.14516

Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks

Autori: Valerie Vaquet, Fabian Hinder, Barbara Hammer
Pubblicato in: Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024, Pagina/e 296-303
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0012361200003654

On the Fine Structure of Drifting Features

Autori: Fabian Hinder, Valerie Vaquet, Barbara Hammer
Pubblicato in: ESANN 2024 proceesdings, 2024, Pagina/e 63-68
Editore: Ciaco - i6doc.com
DOI: 10.14428/esann/2024.es2024-89

Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts

Autori: Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
Pubblicato in: ESANN 2023 proceesdings, 2023, Pagina/e 89-94
Editore: Ciaco - i6doc.com
DOI: 10.14428/esann/2023.es2023-158

Rethinking the Coupled Operation-Design Optimisation Problem in Water Distribution Systems under Deep Uncertainties

Autori: Dennis Zanutto, Andrea Castelletti, Dragan Savic
Pubblicato in: 2025
Editore: Copernicus GmbH
DOI: 10.5194/egusphere-egu25-16168

Long-Term Transitioning of Water Distribution Systems: ERC Water-Futures Project

Autori: Dragan Savic, Barbara Hammer, Phoebe Koundouri, Marios Polycarpou
Pubblicato in: Proceedings - 2nd International Join Conference on Water Distribution System Analysis (WDSA)& Computing and Control in the Water Industry (CCWI), 2024
Editore: Editorial Universitat Politècnica de València
DOI: 10.4995/wdsa-ccwi2022.2022.14441

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

Planning Flexible Water Supply Networks Under Uncertainty Using Reinforcement Learning: Insights from a Real-World Case Study

Autori: Tsiami, Lydia; Hassink-Mulder, Yvonne; Makropoulos, Christos; Savic, Dragan
Pubblicato in: CCWI 2025 - 21st Computing & Control for the Water Industry Conference, Sheffield, UK, 2025
Editore: University of Sheffield
DOI: 10.15131/shef.data.29921210.v1

On the impact of operational uncertainties on water distribution system design

Autori: Dennis Zanutto, Andrea Castelletti, Dragan Savic
Pubblicato in: 2024
Editore: Copernicus GmbH
DOI: 10.5194/egusphere-egu24-5953

Staged Design of Water Distribution Networks: A Reinforcement Learning Approach

Autori: Lydia Tsiami, Christos Makropoulos, Dragan Savic
Pubblicato in: The 3rd International Joint Conference on Water Distribution Systems Analysis &amp; Computing and Control for the Water Industry (WDSA/CCWI 2024), Numero 34, 2024, Pagina/e 111
Editore: MDPI
DOI: 10.3390/engproc2024069111

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

Autori: Kleanthis Malialis, Jin Li, Christos G. Panayiotou, Marios M. Polycarpou
Pubblicato in: 2024 International Joint Conference on Neural Networks (IJCNN), 2024, Pagina/e 1-7
Editore: IEEE
DOI: 10.1109/ijcnn60899.2024.10650724

Self-Supervised Learning from Incrementally Drifting Data Streams

Autori: Valerie Vaquet, Jonas Vaquet, Fabian Hinder, Kleanthis Malialis, Christos Panayiotou, Marios Polycarpou, Barbara Hammer
Pubblicato in: ESANN 2024 proceesdings, 2024, Pagina/e 431-436
Editore: Ciaco - i6doc.com
DOI: 10.14428/esann/2024.es2024-49

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

Attitude Consensus Control with Disturbance Rejection for Incompletely Cooperative Multi-agent Systems on $SO(3)$

Autori: Qingkai Meng, Andreas Kasis, Marios M. Polycarpou
Pubblicato in: 2023 62nd IEEE Conference on Decision and Control (CDC), 2024, Pagina/e 5117-5122
Editore: IEEE
DOI: 10.1109/cdc49753.2023.10383409

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

A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning

Autori: Dennis Zanutto, Christos Michalopoulos, Georgios-Alexandros Chatzistefanou, Lydia Vamvakeridou-Lyroudia, Lydia Tsiami, Konstantinos Glynis, Panagiotis Samartzis, Luca Hermes, Fabian Hinder, Jonas Vaquet, Valerie Vaquet, Demetrios Eliades, Marios Polycarpou, Phoebe Koundouri, Barbara Hammer, Dragan Savić
Pubblicato in: The 3rd International Joint Conference on Water Distribution Systems Analysis &amp; Computing and Control for the Water Industry (WDSA/CCWI 2024), Numero 15, 2024, Pagina/e 60
Editore: MDPI
DOI: 10.3390/engproc2024069060

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

Incorporating Flexibility in the Long-Term Design of Water Distribution Systems Using Operational Variables

Autori: Dennis Zanutto, Andrea Castelletti, Dragan Savic
Pubblicato in: The 3rd International Joint Conference on Water Distribution Systems Analysis &amp; Computing and Control for the Water Industry (WDSA/CCWI 2024), Numero 141, 2024, Pagina/e 46
Editore: MDPI
DOI: 10.3390/engproc2024069046

Unsupervised Unlearning of Concept Drift with Autoencoders

Autori: André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
Pubblicato in: 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 2024, Pagina/e 703-710
Editore: IEEE
DOI: 10.1109/ssci52147.2023.10372001

Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty

Autori: Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Barbara Hammer
Pubblicato in: ESANN 2024 proceesdings, 2024, Pagina/e 191-196
Editore: Ciaco - i6doc.com
DOI: 10.14428/esann/2024.es2024-156

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

A Dynamic Scenario Approach to Tackling Uncertainty in Water Distribution Systems

Autori: Michalopoulos, Christos; Savic, Dragan; Makropoulos, Christos
Pubblicato in: CCWI 2025 - 21st Computing & Control for the Water Industry Conference, Sheffield, UK, 2025
Editore: University of Sheffield
DOI: 10.15131/shef.data.29921039.v1

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

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

Autori: Jin Li, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
Pubblicato in: 2024 International Joint Conference on Neural Networks (IJCNN), 2024, Pagina/e 1-8
Editore: IEEE
DOI: 10.1109/ijcnn60899.2024.10649991

Distributed Backstepping Control for Nonlinear Switched Interconnected Systems: An Application of Water Transport Systems

Autori: Milad Shahvali, Stelios G. Vrachimis, Marios M. Polycarpou
Pubblicato in: 2024 European Control Conference (ECC), 2024, Pagina/e 1228-1233
Editore: IEEE
DOI: 10.23919/ecc64448.2024.10590786

Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations

Autori: Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Kathrin Lammers, Lars Quakernack, Barbara Hammer
Pubblicato in: 2024 International Joint Conference on Neural Networks (IJCNN), 2024, Pagina/e 1-8
Editore: IEEE
DOI: 10.1109/ijcnn60899.2024.10651472

A Review of Scenario-Based Approaches in Water Systems Design

Autori: Christos Michalopoulos, Ina Vertommen, Christos Makropoulos, Dragan Savic
Pubblicato in: The 3rd International Joint Conference on Water Distribution Systems Analysis &amp; Computing and Control for the Water Industry (WDSA/CCWI 2024), 2024, Pagina/e 57
Editore: MDPI
DOI: 10.3390/engproc2024069057

An Innovative Model-Based Methodology for Rapid Response to Drinking Water Contamination Events

Autori: Sotirios Paraskevopoulos, Stelios G. Vrachimis, Marios S. Kyriakou, Mirjam Blokker, Patrick Smeets, Demetrios G. Eliades, Marios Polycarpou, Gertjan Medema
Pubblicato in: The 3rd International Joint Conference on Water Distribution Systems Analysis &amp; Computing and Control for the Water Industry (WDSA/CCWI 2024), 2024, Pagina/e 45
Editore: MDPI
DOI: 10.3390/engproc2024069045

Adaptive Security Control Using Output Only for Quantized Nonlinear Systems Under Irregularly Intermittent DoS Attacks

Autori: Zhen Gao, Yongduan Song, Marios M. Polycarpou
Pubblicato in: IEEE Transactions on Cybernetics, Numero 54, 2024, Pagina/e 6755-6766, ISSN 2168-2267
Editore: IEEE Advancing Technology for Humanity
DOI: 10.1109/tcyb.2024.3438288

Disinfection scheduling in water distribution networks considering input time-delay uncertainty

Autori: Stelios G. Vrachimis, Demetrios G. Eliades, Marios M. Polycarpou
Pubblicato in: Journal of Hydroinformatics, Numero 26, 2024, Pagina/e 386-396, ISSN 1464-7141
Editore: International Water Association Publishing
DOI: 10.2166/hydro.2024.099

The potential of virtual reality meetings in international research projects for greenhouse gas emission mitigation

Autori: Peter van Thienen, Lydia Tsiami, Mollie Torello, Dragan Savić
Pubblicato in: Technological Sustainability, 2024, ISSN 2754-1312
Editore: Emerald insight
DOI: 10.1108/techs-05-2024-0051

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

Physics-Informed Graph Neural Networks for Water Distribution Systems

Autori: Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 38, 2024, Pagina/e 21905-21913, ISSN 2374-3468
Editore: AAAI
DOI: 10.1609/aaai.v38i20.30192

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

One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift

Autori: Fabian Hinder, Valerie Vaquet, Barbara Hammer
Pubblicato in: Frontiers in Artificial Intelligence, Numero 7, 2024, ISSN 2624-8212
Editore: Frontiers Media
DOI: 10.3389/frai.2024.1330258

Ambiguity aversion, modern Bayesianism and small worlds

Autori: Nikitas Pittis, Phoebe Koundouri, Panagiotis Samartzis, Nikolaos Englezos, Andreas Papandreou
Pubblicato in: Open Research Europe, Numero 1, 2021, Pagina/e 13, ISSN 2732-5121
Editore: F1000 Research Ltd
DOI: 10.12688/openreseurope.13196.1

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

A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics

Autori: Babak Zolghadr-Asli, Ahmad Ferdowsi, Dragan Savić
Pubblicato in: Cambridge Prisms: Water, Numero 2, 2024, ISSN 2755-1776
Editore: Cambridge Prisms
DOI: 10.1017/wat.2024.5

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

Rethinking Urban Water Network Design: A Reinforcement Learning Framework for Long-Term Flexible Planning

Autori: Lydia Tsiami, Christos Makropoulos, Dragan Savic
Pubblicato in: Water Resources Management, 2025, ISSN 0920-4741
Editore: Kluwer Academic Publishers
DOI: 10.1007/s11269-025-04290-8

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

Fairness-enhancing classification methods for non-binary sensitive features—<i>How to fairly detect leakages in water distribution systems</i>

Autori: Janine Strotherm, Inaam Ashraf, Barbara Hammer
Pubblicato in: PeerJ Computer Science, Numero 10, 2024, Pagina/e e2317, ISSN 2376-5992
Editore: PeerJ
DOI: 10.7717/peerj-cs.2317

Optimization of Water Network Topology and Pipe Sizing to Aid Water Utilities in Deciding on a Design Philosophy: A Real Case Study in Belgium

Autori: Ina Vertommen, Djordje Mitrović, Karel van Laarhoven, Pieter Piens, Maarten Torbeyns
Pubblicato in: Water, Numero 14, 2025, Pagina/e 3973, ISSN 2073-4441
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/w14233973

Secure state estimation of networked switched systems under denial-of-service attacks

Autori: Qingkai Meng, Andreas Kasis, Hao Yang, Marios M. Polycarpou
Pubblicato in: European Journal of Control, 2024, Pagina/e 101037, ISSN 0947-3580
Editore: Lavoisier
DOI: 10.1016/j.ejcon.2024.101037

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

Actuator fault detection and isolation in a class of nonlinear interconnected systems

Autori: Hamed Tirandaz, Christodoulos Keliris, Marios Polycarpou
Pubblicato in: International Journal of Control, 2024, Pagina/e 1-21, ISSN 0020-7179
Editore: Taylor & Francis
DOI: 10.1080/00207179.2024.2310606

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

Fault-tolerant Safe Control for Water Networks: An Interconnected Switched System Approach

Autori: Qingkai Meng, Stelios Vrachimis, Marios M. Polycarpou
Pubblicato in: IFAC-PapersOnLine, Numero 58, 2024, Pagina/e 294-299, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2024.07.233

Actuator and sensor fault isolation in a class of nonlinear dynamical systems

Autori: Hamed Tirandaz, Christodoulos Keliris, Marios M. Polycarpou
Pubblicato in: Journal of Automation and Intelligence, Numero 3, 2024, Pagina/e 57-72, ISSN 2949-8554
Editore: Elsevier B.V.
DOI: 10.1016/j.jai.2024.03.001

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

Consensus Group Decision Making Under Model Uncertainty with a View Towards Environmental Policy Making

Autori: P. Koundouri, G. I. Papayiannis, E. V. Petracou, A. N. Yannacopoulos
Pubblicato in: Environmental and Resource Economics, Numero 87, 2024, Pagina/e 1611-1649, ISSN 0924-6460
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10640-024-00846-1

Feature-based analyses of concept drift

Autori: Fabian Hinder, Valerie Vaquet, Barbara Hammer
Pubblicato in: Neurocomputing, Numero 600, 2024, Pagina/e 127968, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2024.127968

One or two things we know about concept drift—a survey on monitoring in evolving environments. Part A: detecting concept drift

Autori: Fabian Hinder, Valerie Vaquet, Barbara Hammer
Pubblicato in: Frontiers in Artificial Intelligence, Numero 7, 2024, ISSN 2624-8212
Editore: Frontiers Media
DOI: 10.3389/frai.2024.1330257

Modeling the health impact of wastewater contamination events in drinking water networks

Autori: Sotirios Paraskevopoulos, Stelios Vrachimis, Marios Kyriakou, Demetrios G. Eliades, Patrick Smeets, Marios Polycarpou, Gertjan Medema
Pubblicato in: Journal of Cleaner Production, Numero 479, 2024, Pagina/e 143997, ISSN 0959-6526
Editore: Elsevier BV
DOI: 10.1016/j.jclepro.2024.143997

FairGLVQ: Fairness in Partition-Based Classification

Autori: Felix Störck, Fabian Hinder, Johannes Brinkrolf, Benjamin Paassen, Valerie Vaquet, Barbara Hammer
Pubblicato in: Lecture Notes in Networks and Systems, Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond, 2024, Pagina/e 141-151
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-67159-3_17

Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks

Autori: Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer
Pubblicato in: Lecture Notes in Computer Science, Artificial Neural Networks and Machine Learning – ICANN 2024, 2024, Pagina/e 155-170
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72356-8_11

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

Adversarial Attacks on Leakage Detectors in Water Distribution Networks

Autori: Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer
Pubblicato in: Lecture Notes in Computer Science, Advances in Computational Intelligence, 2023, Pagina/e 451-463
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-43078-7_37

A Remark on Concept Drift for Dependent Data

Autori: Fabian Hinder, Valerie Vaquet, Barbara Hammer
Pubblicato in: Lecture Notes in Computer Science, Advances in Intelligent Data Analysis XXII, 2024, Pagina/e 77-89
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-58547-0_7

For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAI

Autori: Ulrike Kuhl, André Artelt, Barbara Hammer
Pubblicato in: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2023, Pagina/e 280-300
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-44070-0_14

Fairness-Enhancing Ensemble Classification in Water Distribution Networks

Autori: Janine Strotherm, Barbara Hammer
Pubblicato in: Lecture Notes in Computer Science, Advances in Computational Intelligence, 2023, Pagina/e 119-133
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-43085-5_10

Efficient resizing and topological optimization of real‐world water distribution networks in a multi‐criteria decision‐making framework

Autori: Amin Minaei, Aaron C. Zecchin, Mohsen Hajibabaei, Djordje Mitrovic, Karel van Laarhoven, Ina Vertommen, Brad Alexander, Mirjam Blokker, Dragan Savic, Enrico Creaco, Robert Sitzenfrei
Pubblicato in: Computer-Aided Civil and Infrastructure Engineering, 2025, ISSN 1093-9687
Editore: Blackwell Publishing Inc.
DOI: 10.1111/mice.70036

Usage of Multisource Data through Transfer Learning to Improve Short-Term Water Demand Forecasting

Autori: Zilin Li, Guoxuan Liu, Haixing Liu, Dragan Savic, Guangtao Fu
Pubblicato in: Journal of Water Resources Planning and Management, Numero 151, 2025, ISSN 0733-9496
Editore: American Society of Civil Engineers
DOI: 10.1061/jwrmd5.wreng-6950

A Robust Multi‐Objective Pressure Sensor Placement Method for Burst Detection in Water Distribution Systems

Autori: Kun Du, Jinxin Yu, Feifei Zheng, Wei Xu, Dragan Savic, Zoran Kapelan
Pubblicato in: Water Resources Research, Numero 60, 2024, ISSN 0043-1397
Editore: American Geophysical Union
DOI: 10.1029/2024wr037258

Battle of Water Demand Forecasting

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