:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Nasios, Ioannis
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2604.08001
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing kelp forest detection in remote sensing images using crowdsourced labels with Mixed Vision Transformers and ConvNeXt segmentation models
by: Nasios, Ioannis
Published: (2025)

AI-driven multi-source data fusion for algal bloom severity classification in small inland water bodies: Leveraging Sentinel-2, DEM, and NOAA climate data
by: Nasios, Ioannis
Published: (2025)

Multi-Modal Landslide Detection from Sentinel-1 SAR and Sentinel-2 Optical Imagery Using Multi-Encoder Vision Transformers and Ensemble Learning
by: Nasios, Ioannis
Published: (2026)

Predicting life satisfaction using machine learning and explainable AI
by: Khan, Alif Elham, et al.
Published: (2025)

Causal machine learning for sustainable agroecosystems
by: Sitokonstantinou, Vasileios, et al.
Published: (2024)

Practical machine learning is learning on small samples
by: Sapir, Marina
Published: (2025)

DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
by: Seedat, Nabeel, et al.
Published: (2022)

Forecasting high-impact research topics via machine learning on evolving knowledge graphs
by: Gu, Xuemei, et al.
Published: (2024)

BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline
by: Shevtsov, Alexander, et al.
Published: (2023)

Causality in the human niche: lessons for machine learning
by: Lange, Richard D., et al.
Published: (2025)

Explanatory machine learning for sequential human teaching
by: Ai, Lun, et al.
Published: (2022)

Towards efficient representation identification in supervised learning
by: Ahuja, Kartik, et al.
Published: (2022)

Shadows of quantum machine learning
by: Jerbi, Sofiene, et al.
Published: (2023)

Feature learning as alignment: a structural property of gradient descent in non-linear neural networks
by: Beaglehole, Daniel, et al.
Published: (2024)

Operating critical machine learning models in resource constrained regimes
by: Selvan, Raghavendra, et al.
Published: (2023)

Using machine learning for fault detection in lighthouse light sensors
by: Kampouridis, Michael, et al.
Published: (2024)

Decoding complexity: how machine learning is redefining scientific discovery
by: Vinuesa, Ricardo, et al.
Published: (2024)

survex: an R package for explaining machine learning survival models
by: Spytek, Mikołaj, et al.
Published: (2023)

A deep learning and machine learning approach to predict neonatal death in the context of São Paulo
by: Raihan, Mohon, et al.
Published: (2025)

Stabilising Explainability Fragility in Cybersecurity AI: The Impact and Mitigation of Multicollinearity in Public Benchmark Datasets
by: Vourganas, Ioannis J., et al.
Published: (2026)

Dynamical errors in machine learning forecasts
by: Fang, Zhou, et al.
Published: (2025)

Deep generative models as an adversarial attack strategy for tabular machine learning
by: Dyrmishi, Salijona, et al.
Published: (2024)

Evaluating machine learning models for predicting pesticide toxicity to honey bees
by: Adamczyk, Jakub, et al.
Published: (2025)

Application of predictive machine learning in pen & paper RPG game design
by: Śliwa, Jolanta
Published: (2025)

Monitoring fairness in machine learning models that predict patient mortality in the ICU
by: van Schaik, Tempest A., et al.
Published: (2024)

Automated machine learning: AI-driven decision making in business analytics
by: Schmitt, Marc
Published: (2022)

Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment
by: Colwell, Matthew, et al.
Published: (2024)

Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
by: Singh, Geethen, et al.
Published: (2024)

Scientific machine learning in ecological systems: A study on the predator-prey dynamics
by: Devgupta, Ranabir, et al.
Published: (2024)

Estimating oil recovery factor using machine learning: Applications of XGBoost classification
by: Roustazadeh, Alireza, et al.
Published: (2022)

Training-efficient density quantum machine learning
by: Coyle, Brian, et al.
Published: (2024)

Compositional learning of functions in humans and machines
by: Zhou, Yanli, et al.
Published: (2024)

Pilot selection in the era of Virtual reality: algorithms for accurate and interpretable machine learning models
by: Ke, Luoma, et al.
Published: (2025)

Knowledge-guided machine learning for county-level corn yield prediction under drought
by: Wang, Xiaoyu, et al.
Published: (2025)

A Comprehensive Perspective on Explainable AI across the Machine Learning Workflow
by: Paterakis, George, et al.
Published: (2025)

Quantum-inspired tensor networks in machine learning models
by: Valverde, Guillermo, et al.
Published: (2026)

Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias
by: Ouattara, Koffi Ismael, et al.
Published: (2025)

Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods
by: Benítez-Andrades, José Alberto, et al.
Published: (2025)

Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning
by: Spooner, Annette, et al.
Published: (2024)

Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learning
by: Spadon, Gabriel, et al.
Published: (2022)