8 citations · 9 across the 4 of their papers we have counts for
4 papers
Transition-Related Potentials as Markers of Narrative Comprehension in Continuous EEG
Bálint Csanády, Péter Vedres, Kristóf Zsolt Makó +6
Harnessing the potential of electroencephalography (EEG) for brain research is fundamentally limited by intrinsic noise and the diffuse projection of brain-generated activity over…
Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks
Bálint Csanády, Lóránt Nagy, Dániel Boros +5
We present a purely deep neural network-based approach for estimating long memory parameters of time series models that incorporate the phenomenon of long-range dependence. Paramet…
LlamBERT: Large-scale low-cost data annotation in NLP
Bálint Csanády, Lajos Muzsai, Péter Vedres +2
Large Language Models (LLMs), such as GPT-4 and Llama 2, show remarkable proficiency in a wide range of natural language processing (NLP) tasks. Despite their effectiveness, the hi…
Deep learning the Hurst parameter of linear fractional processes and assessing its reliability
Dániel Boros, Bálint Csanády, Iván Ivkovic +3
This research explores the reliability of deep learning, specifically Long Short-Term Memory (LSTM) networks, for estimating the Hurst parameter in fractional stochastic processes.…