158 citations
- National Technical University of AthensGR16 papers
- Czech University of Life Sciences PragueCZ3 papers
- Roma Tre UniversityIT3 papers
- Stockholm UniversitySE3 papers
- New York UniversityUS2 papers
- The University of MelbourneAU2 papers
- Università degli Studi della TusciaIT2 papers
- University of IoanninaGR2 papers
- University of PaduaIT2 papers
- University of PatrasGR2 papers
- American University of BeirutLB1 paper
- Birmingham City UniversityGB1 paper
22 papers
The power of text similarity in identifying AI-LLM paraphrased documents: The case of BBC news articles and ChatGPT
Konstantinos Xylogiannopoulos, Petros Xanthopoulos, Panagiotis Karampelas +1
Generative AI paraphrased text can be used for copyright infringement and the AI paraphrased content can deprive substantial revenue from original content creators. Despite this re…
Variable transformations in consistent loss functions
Hristos Tyralis, Georgia Papacharalampous
The empirical use of variable transformations within (strictly) consistent loss functions is widespread, yet a theoretical understanding is lacking. To address this gap, we develop…
Transforming disaster risk reduction with AI and big data: Legal and interdisciplinary perspectives
Kwok P Chun, Thanti Octavianti, Nilay Dogulu +24
Managing complex disaster risks requires interdisciplinary efforts. Breaking down silos between law, social sciences, and natural sciences is critical for all processes of disaster…
A review of predictive uncertainty estimation with machine learning
Hristos Tyralis, Georgia Papacharalampous
Predictions and forecasts of machine learning models should take the form of probability distributions, aiming to increase the quantity of information communicated to end users. Al…
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting
Georgia Papacharalampous, Hristos Tyralis
Probabilistic forecasting is receiving growing attention nowadays in a variety of applied fields, including hydrology. Several machine learning concepts and methods are notably rel…
Features of the Earth's seasonal hydroclimate: Characterizations and comparisons across the Koppen-Geiger climates and across continents
Georgia Papacharalampous, Hristos Tyralis, Yannis Markonis +2
Detailed investigations of time series features across climates, continents and variable types can progress our understanding and modelling ability of the Earth's hydroclimate and…