:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bai, Yuchen, Athanasiou, Georgios, Yu, Xin, Antonopoulos, Diogenis, Papoutsis, Ioannis, Hantson, Stijn, Carvalhais, Nuno
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.10298
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks
by: Michail, Dimitrios, et al.
Published: (2024)

Uncertainty-Aware Deep Learning for Wildfire Danger Forecasting
by: Kondylatos, Spyros, et al.
Published: (2025)

Magnifying change: Rapid burn scar mapping with multi-resolution, multi-source satellite imagery
by: Sdraka, Maria, et al.
Published: (2026)

Improve Machine Learning carbon footprint using Nvidia GPU and Mixed Precision training for classification models -- Part I
by: Antonopoulos, Andrew
Published: (2024)

Wildfire spread forecasting with Deep Learning
by: Anastasiou, Nikolaos, et al.
Published: (2025)

Causal Graph Neural Networks for Wildfire Danger Prediction
by: Zhao, Shan, et al.
Published: (2024)

Hide and Seek: Investigating Redundancy in Earth Observation Imagery
by: Papazafeiropoulos, Tasos, et al.
Published: (2026)

Improve Machine Learning carbon footprint using Parquet dataset format and Mixed Precision training for regression models -- Part II
by: Antonopoulos, Andrew
Published: (2024)

Causal hybrid modeling with double machine learning
by: Cohrs, Kai-Hendrik, et al.
Published: (2024)

Probabilistic Machine Learning for Noisy Labels in Earth Observation
by: Kondylatos, Spyros, et al.
Published: (2025)

Application of XAI-based framework for PV Energy Generation Forecasting
by: Brígida Teixeira, et al.
Published: (2023)

The Living Forecast: Evolving Day-Ahead Predictions into Intraday Reality
by: Bölat, Kutay, et al.
Published: (2025)

Region-wise stacking ensembles for estimating brain-age using MRI
by: Antonopoulos, Georgios, et al.
Published: (2025)

Data-driven Day Ahead Market Prices Forecasting: A Focus on Short Training Set Windows
by: Michalakopoulos, Vasilis, et al.
Published: (2025)

Hardness of Learning Regular Languages in the Next Symbol Prediction Setting
by: Bhattamishra, Satwik, et al.
Published: (2025)

A Deep Learning Model for Battery State Prediction towards Intelligent Energy Management
by: Koukosias, Athanasios, et al.
Published: (2026)

On the Generalization of Representation Uncertainty in Earth Observation
by: Kondylatos, Spyros, et al.
Published: (2025)

FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction
by: Michail, Dimitrios, et al.
Published: (2025)

Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security
by: Zhang, Zifan, et al.
Published: (2025)

Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting
by: Tsoumplekas, Georgios, et al.
Published: (2024)

Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder
by: Anyfantis, Georgios, et al.
Published: (2026)

Cautious Next Token Prediction
by: Wang, Yizhou, et al.
Published: (2025)

Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market
by: O'Connor, Ciaran, et al.
Published: (2025)

LightningNet: Distributed Graph-based Cellular Network Performance Forecasting for the Edge
by: Zacharopoulos, Konstantinos, et al.
Published: (2024)

Enhancing Cloud-Native Resource Allocation with Probabilistic Forecasting Techniques in O-RAN
by: Kasuluru, Vaishnavi, et al.
Published: (2024)

Follow-the-Perturbed-Leader Approaches Best-of-Both-Worlds for the m-Set Semi-Bandit Problems
by: Zhan, Jingxin, et al.
Published: (2025)

LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting
by: Verdenius, Stijn, et al.
Published: (2024)

Predicting NVIDIA's Next-Day Stock Price: A Comparative Analysis of LSTM, MLP, ARIMA, and ARIMA-GARCH Models
by: Xing, Yiluan, et al.
Published: (2024)

Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
by: Zou, Xin, et al.
Published: (2024)

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images
by: Vlontzou, Maria Eleftheria, et al.
Published: (2025)

AI-Driven Day-to-Day Route Choice
by: Wang, Leizhen, et al.
Published: (2024)

Hourly Short Term Load Forecasting for Residential Buildings and Energy Communities
by: Kychkin, Aleksei, et al.
Published: (2025)

Next Generation Active Learning: Mixture of LLMs in the Loop
by: Qi, Yuanyuan, et al.
Published: (2026)

Filling in the Blanks: Applying Data Imputation in incomplete Water Metering Data
by: Amaxilatis, Dimitrios, et al.
Published: (2025)

Neural Networks with LSTM and GRU in Modeling Active Fires in the Amazon
by: Tavares, Ramon, et al.
Published: (2024)

It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
by: Qiao, Zhongzheng, et al.
Published: (2026)

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
by: Özalp, Elise, et al.
Published: (2023)

On the Computational Complexity of Performative Prediction
by: Anagnostides, Ioannis, et al.
Published: (2026)

Multi-modal learning for geospatial vegetation forecasting
by: Benson, Vitus, et al.
Published: (2023)

Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-Separated Clusters
by: Vardakas, Georgios, et al.
Published: (2024)