2 citations · 2 across the 5 of their papers we have counts for
6 papers
Deep Learning vs. Statistical Models for Multi-Horizon Price Forecasting of Second-Hand Electronics: A Systematic Benchmark
Mateusz Buczyński, Michał Woźniak, Konrad Kaczyński +2
Forecasting resale prices of used electronics is critical for subscription-based platforms where pricing errors translate directly into risk. Unlike structured financial markets, s…
ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models
Wojciech Michaluk, Tymoteusz Urban, Mateusz Kubita +2
This paper presents an AI-driven browser extension that identifies clickbait to help users avoid misleading Internet articles. Moving beyond traditional detection, the application…
Rewrite the News: Tracing Editorial Reuse Across News Agencies
Soveatin Kuntur, Nina Smirnova, Anna Wroblewska +2
This paper investigates sentence-level text reuse in multilingual journalism, analyzing where reused content occurs within articles. We present a weakly supervised method for detec…
Click it or Leave it: Detecting and Spoiling Clickbait with Informativeness Measures and Large Language Models
Wojciech Michaluk, Tymoteusz Urban, Mateusz Kubita +2
Clickbait headlines degrade the quality of online information and undermine user trust. We present a hybrid approach to clickbait detection that combines transformer-based text emb…
Consumer Transactions Simulation through Generative Adversarial Networks
Sergiy Tkachuk, Szymon Łukasik, Anna Wróblewska
In the rapidly evolving domain of large-scale retail data systems, envisioning and simulating future consumer transactions has become a crucial area of interest. It offers signific…
Deepfake tweets automatic detection
Adam Frej, Adrian Kaminski, Piotr Marciniak +3
This study addresses the critical challenge of detecting DeepFake tweets by leveraging advanced natural language processing (NLP) techniques to distinguish between genuine and AI-g…