Imagen de Portada

Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tello, Andres, Truong, Huy, Lazovik, Alexander, Degeler, Victoria
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks
por: Truong, Huy, et al.
Publicado: (2025)

Graph Neural Networks for Pressure Estimation in Water Distribution Systems
por: Truong, Huy, et al.
Publicado: (2023)

Too Good To Be True: performance overestimation in (re)current practices for Human Activity Recognition
por: Tello, Andrés, et al.
Publicado: (2023)

Learning Semantic Association Rules from Internet of Things Data
por: Karabulut, Erkan, et al.
Publicado: (2024)

AE SemRL: Learning Semantic Association Rules with Autoencoders
por: Karabulut, Erkan, et al.
Publicado: (2024)

Discovering Association Rules in High-Dimensional Small Tabular Data
por: Karabulut, Erkan, et al.
Publicado: (2025)

A Multivariate Statistical Framework for Detection, Classification and Pre-localization of Anomalies in Water Distribution Networks
por: Melnikov, Oleg, et al.
Publicado: (2025)

Neurosymbolic Association Rule Mining from Tabular Data
por: Karabulut, Erkan, et al.
Publicado: (2025)

Semantic Association Rule Learning from Time Series Data and Knowledge Graphs
por: Karabulut, Erkan, et al.
Publicado: (2023)

BioCube: A Multimodal Dataset for Biodiversity Research
por: Stasinos, Stylianos, et al.
Publicado: (2025)

Tabular Foundation Models Can Learn Association Rules
por: Karabulut, Erkan, et al.
Publicado: (2026)

Efficient Learning of Fuzzy Logic Systems for Large-Scale Data Using Deep Learning
por: Koklu, Ata, et al.
Publicado: (2024)

CloserMusicDB: A Modern Multipurpose Dataset of High Quality Music
por: Piekarzewicz, Aleksandra, et al.
Publicado: (2024)

AI Learning Algorithms: Deep Learning, Hybrid Models, and Large-Scale Model Integration
por: Golilarz, Noorbakhsh Amiri, et al.
Publicado: (2024)

XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
por: Nikulin, Alexander, et al.
Publicado: (2024)

Deep-Bench: Deep Learning Benchmark Dataset for Code Generation
por: Daghighfarsoodeh, Alireza, et al.
Publicado: (2025)

Assessing the Feasibility of Early Cancer Detection Using Routine Laboratory Data: An Evaluation of Machine Learning Approaches on an Imbalanced Dataset
por: Li, Shumin
Publicado: (2025)

Norm-Hierarchy Transitions in Representation Learning: When and Why Neural Networks Abandon Shortcuts
por: Khanh, Truong Xuan, et al.
Publicado: (2026)

Phase Transitions in Driven Informational Systems: A Two-Field Perspective on Learning Theory and Non-Equilibrium Chemistry
por: Khanh, Truong Xuan
Publicado: (2026)

A Large-Scale Dataset and Benchmark: Do Protein-Ligand Models Learn Binding Sites or Just Binding Likelihood?
por: Meng, Zhaohan, et al.
Publicado: (2026)

TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models
por: Meijer, Caspar, et al.
Publicado: (2025)

A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets
por: Shmuel, Assaf, et al.
Publicado: (2024)

Scaling Up Data Parallelism in Decentralized Deep Learning
por: Xie, Bing, et al.
Publicado: (2025)

Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
por: Hoang, Huy, et al.
Publicado: (2023)

RLAX: Large-Scale, Distributed Reinforcement Learning for Large Language Models on TPUs
por: Zhou, Runlong, et al.
Publicado: (2025)

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning
por: Zhang, Yu, et al.
Publicado: (2025)

Versor: A Geometric Sequence Architecture
por: Huy, Truong Minh, et al.
Publicado: (2026)

Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
por: Li, Zhilong, et al.
Publicado: (2024)

Tailored Architectures for Time Series Forecasting: Evaluating Deep Learning Models on Gaussian Process-Generated Data
por: Hankemeier, Victoria, et al.
Publicado: (2025)

Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning
por: Rabbani, Shourav B., et al.
Publicado: (2023)

Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
por: Ma, Guozheng, et al.
Publicado: (2025)

Aneumo: A Large-Scale Multimodal Aneurysm Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
por: Li, Xigui, et al.
Publicado: (2025)

GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
por: Zou, Deyu, et al.
Publicado: (2023)

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy
por: Koddenbrock, Mario, et al.
Publicado: (2026)

Deep Learning with Tabular Data: A Self-supervised Approach
por: Vyas, Tirth Kiranbhai
Publicado: (2024)

Deep-and-Wide Learning: Enhancing Data-Driven Inference via Synergistic Learning of Inter- and Intra-Data Representations
por: Islam, Md Tauhidul, et al.
Publicado: (2025)

DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
por: Elrefaie, Mohamed, et al.
Publicado: (2024)

ALHD: A Large-Scale and Multigenre Benchmark Dataset for Arabic LLM-Generated Text Detection
por: Khairallah, Ali, et al.
Publicado: (2025)

Deep Neural Network Benchmarks for Selective Classification
por: Pugnana, Andrea, et al.
Publicado: (2024)

TutorBench: A Benchmark To Assess Tutoring Capabilities Of Large Language Models
por: Srinivasa, Rakshith S, et al.
Publicado: (2025)