Victoria Degeler

33 papers A 1C 3Misc 1Journal 17Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multivariate statistical framework for detection, classification and pre-localization of anomalies in water distribution networks.
Expert Syst. Appl.
Oleg Melnikov, Yurii Dorofieiev, Yurii Shakhnovskiy, Huy Truong, Victoria Degeler
2026 J jnl
Tabular Foundation Models Can Learn Association Rules.
CoRR
Erkan Karabulut, Daniel Daza, Paul Groth, Martijn C. Schut, Victoria Degeler
2025 J jnl
A Multivariate Statistical Framework for Detection, Classification and Pre-localization of Anomalies in Water Distribution Networks.
CoRR
Oleg Melnikov, Yurii Dorofieiev, Yurii Shakhnovskiy, Huy Truong, Victoria Degeler
2025 Misc conf
Contrasting Global and Local Representations for Human Activity Recognition using Graph Neural Networks.
SAC
Andrés Tello, Victoria Degeler
2025 J jnl
DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks.
CoRR
Huy Truong, Andrés Tello, Alexander Lazovik, Victoria Degeler
2025 — conf
Discovering Association Rules in High-Dimensional Small Tabular Data.
ANSyA@ECAI
Erkan Karabulut, Daniel Daza, Paul Groth, Victoria Degeler
2025 J jnl
Discovering Association Rules in High-Dimensional Small Tabular Data.
CoRR
Erkan Karabulut, Daniel Daza, Paul Groth, Victoria Degeler
2025 — conf
Earth Science Digital Twins: A Systematic Literature Review.
MODELS-C
Jasper Albert Adriaan Van Den Barg, Victoria Degeler
2025 — ed.
Joint Proceedings of Posters, Demos, Workshops, and Tutorials of the 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-PDWT 2024) co-located with 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2024), Amsterdam, Netherlands, November 26-28, 2024.
EKAW (Companion)
Carlos Badenes-Olmedo, Inna Novalija, Enrico Daga, Lise Stork, Reshmi Gopalakrishna Pillai, Laurence Dierickx, Benno Kruit, Victoria Degeler, João Moreira, Bohui Zhang, Reham Alharbi, Yuan He, Arianna Graciotti, Alba Catalina Morales Tirado, Valentina Presutti, Enrico Motta
2025 C conf
Neurosymbolic Association Rule Mining from Tabular Data.
NeSy
Erkan Karabulut, Paul Groth, Victoria Degeler
2025 J jnl
Neurosymbolic Association Rule Mining from Tabular Data.
CoRR
Erkan Karabulut, Paul Groth, Victoria Degeler
2025 J jnl
Pattern-Level Privacy Protection in Event-Based Systems.
SN Comput. Sci.
Majid Lotfian Delouee, Victoria Degeler, Peter Amthor, Martijn C. Schut, Boris Koldehofe
2025 J jnl
PyAerial: Scalable association rule mining from tabular data.
SoftwareX
Erkan Karabulut, Paul Groth, Victoria Degeler
2025 J jnl
Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum.
IEEE Internet Comput.
Ella Peltonen, Suzan Bayhan, David Bermbach, Sebastian Buschjäger, Victoria Degeler, Aaron Yi Ding, Özlem Durmaz Incel, Dewant Katare, Mikkel Baun Kjærgaard, Sam Leroux, Toktam Mahmoodi, Zoltán Ádám Mann, Nirvana Meratnia, Andy D. Pimentel, Jan S. Rellermeyer, Etienne Rivière, Dolly Sapra, Gürkan Solmaz, Bram van der Waaij
2024 — conf
3K: Knowledge-Enriched Digital Twin Framework.
IoT
Erkan Karabulut, Paul Groth, Victoria Degeler
2024 J jnl
AE SemRL: Learning Semantic Association Rules with Autoencoders.
CoRR
Erkan Karabulut, Victoria Degeler, Paul Groth
2024 C conf
APP-CEP: Adaptive Pattern-Level Privacy Protection in Complex Event Processing Systems.
ICISSP
Majid Lotfian Delouee, Victoria Degeler, Peter Amthor, Boris Koldehofe
2024 — conf
DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks.
ISoLA (5)
Victoria Degeler, Mostafa Hadadian Nejad Yousefi, Erkan Karabulut, Alexander Lazovik, Hester van het Loo, Andrés Tello, Huy Truong
2024 — conf
Driving Towards Efficiency: Adaptive Resource-Aware Clustered Federated Learning in Vehicular Networks.
MedComNet
Ahmad Khalil, Majid Lotfian Delouee, Victoria Degeler, Tobias Meuser, Antonio Fernández Anta, Boris Koldehofe
2024 — conf
Large Language Model for Ontology Learning In Drinking Water Distribution Network Domain.
EKAW (Companion)
Yiwen Huang, Erkan Karabulut, Victoria Degeler
2024 C conf
Large-Scale Forecasting of Electric Vehicle Charging Demand Using Global Time Series Modeling.
VEHITS
Tijmen van Etten, Victoria Degeler, Ding Luo
2024 J jnl
Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks.
CoRR
Andrés Tello, Huy Truong, Alexander Lazovik, Victoria Degeler
2024 J jnl
Learning Semantic Association Rules from Internet of Things Data.
CoRR
Erkan Karabulut, Paul Groth, Victoria Degeler
2024 J jnl
Ontologies in digital twins: A systematic literature review.
Future Gener. Comput. Syst.
Erkan Karabulut, Salvatore F. Pileggi, Paul Groth, Victoria Degeler
2024 — ed.
Proceedings of the First International Workshop on Distributed Digital Twins co-located with DisCoTec 2024 - 19th International Federated Conference on Distributed Computing Techniques (DisCoTec 2024), Groningen, the Netherlands, June 17, 2024.
DiDit@DisCoTec
Victoria Degeler, Dilek Dustegör, Heerko Groefsema, Elena Lazovik
2024 A conf
Self-Adaptive Service Selection for Machine Learning Continuous Delivery.
ICWS
Mostafa Hadadian Nejad Yousefi, Victoria Degeler, Alexander Lazovik
2024 — conf
Too Good To Be True: accuracy overestimation in (re)current practices for Human Activity Recognition.
PerCom Workshops
Andrés Tello, Victoria Degeler, Alexander Lazovik
2024 — conf
Towards Federated LLM-Powered CEP Rule Generation and Refinement.
DEBS
Majid Lotfian Delouee, Daria G. Pernes, Victoria Degeler, Boris Koldehofe
2023 J jnl
Graph Neural Networks for Pressure Estimation in Water Distribution Systems.
CoRR
Huy Truong, Andrés Tello, Alexander Lazovik, Victoria Degeler
2023 J jnl
Ontologies in Digital Twins: A Systematic Literature Review.
CoRR
Erkan Karabulut, Salvatore F. Pileggi, Paul Groth, Victoria Degeler
2023 — conf
Semantic Association Rule Learning from Time Series Data and Knowledge Graphs.
SemIIM
Erkan Karabulut, Victoria Degeler, Paul Groth
2023 J jnl
Semantic Association Rule Learning from Time Series Data and Knowledge Graphs.
CoRR
Erkan Karabulut, Victoria Degeler, Paul Groth
2023 J jnl
Too Good To Be True: performance overestimation in (re)current practices for Human Activity Recognition.
CoRR
Andrés Tello, Victoria Degeler, Alexander Lazovik