| An LSTM based architecture to relate speech stimulus to EEG MJ Monesi, B Accou, J Montoya-Martinez, T Francart, H Van Hamme ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 59 | 2020 |
| Relating EEG to continuous speech using deep neural networks: a review C Puffay, B Accou, L Bollens, MJ Monesi, J Vanthornhout, T Francart Journal of Neural Engineering 20 (4), 041003, 2023 | 53 | 2023 |
| Modeling the relationship between acoustic stimulus and EEG with a dilated convolutional neural network B Accou, MJ Monesi, J Montoya, T Francart 2020 28th European Signal Processing Conference (EUSIPCO), 1175-1179, 2021 | 49 | 2021 |
| Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model HV Mohammad Jalilpour Monesi, Bernd Accou, Tom Francart Interspeech, 526--530, 2021 | 25* | 2021 |
| Predicting speech intelligibility from EEG in a non-linear classification paradigm B Accou, MJ Monesi, T Francart Journal of Neural Engineering 18 (6), 066008, 2021 | 23* | 2021 |
| Extended common spatial and temporal pattern (ECSTP): A semi-blind approach to extract features in ERP detection MJ Monesi, SH Sardouie Pattern Recognition 95, 128-135, 2019 | 13 | 2019 |
| Hugo Van hamme, and Tom Francart,“ B Accou, M Jalilpour-Monesi, J Montoya-Martínez Predicting speech intelligibility from eeg using a dilated convolutional …, 2021 | 8 | 2021 |
| Auditory EEG decoding challenge for ICASSP 2023 MJ Monesi, L Bollens, B Accou, J Vanthornhout, H Van Hamme, ... IEEE Open Journal of Signal Processing, 2024 | 7 | 2024 |
| Segmentation and classification of cine-mr images using fully convolutional networks and handcrafted features MH Eybposh, MH Ebrahim-Abadi, M Jalilpour-Monesi, SS Saboksayr arXiv preprint arXiv:1709.02565, 2017 | 6 | 2017 |
| Van hamme H, Francart T (2020) Modeling the relationship between acoustic stimulus and EEG with a dilated convolutional neural network B Accou, MJ Monesi, J Montoya 2020 28th European Signal Processing Conference (EUSIPCO), 1175-1179, 2020 | 5 | 2020 |
| hamme, HV & Francart, T.(2023),‘Relating eeg to continuous speech using deep neural networks: a review’ C Puffay, B Accou, L Bollens, MJ Monesi, J Vanthornhout Journal of Neural Engineering 20 (4), 041003, 0 | 5 | |
| ICASSP 2023 Auditory EEG decoding challenge L Bollens, MJ Monesi, B Accou, J Vanthornhout, H Van Hamme, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| The role of vowel and consonant onsets in neural tracking of natural speech MJ Monesi, J Vanthornhout, T Francart Journal of Neural Engineering 21 (1), 016002, 2024 | 3 | 2024 |
| Relating Auditory EEG to Continuous Speech Using Artificial Neural Networks M Jalilpour Monesi, T Francart | | 2023 |
| Higher-Order Semi-Blind Source Separation Approaches Using Canonical Polyadic (CP) Decomposition MJ Monesi, SH Sardouie 2023 31st International Conference on Electrical Engineering (ICEE), 960-965, 2023 | | 2023 |
| ICASSP 2023: Auditory EEG Challenge M Jalilpour Monesi, L Bollens, T Francart | | 2022 |
| Matching EEG to speech envelope segments M Jalilpour Monesi, B Accou, T Francart Leuven AI, Location: Irish College, KU Leuven, 2020 | | 2020 |
| Classifying match/mismatch between EEG and stimulus using deep learning B Accou, M Jalilpour Monesi, T Francart ARCHES 2019, Location: Paris, France, 2019 | | 2019 |
| The LSTM-based model code M Jalilpour Monesi, T Francart github; https://github. com/jalilpour-m/match-mismatch_icassp2020, 0 | | |
Tom FrancartKU Leuven, BelgiumPotvrđena adresa e-pošte na med.kuleuven.be
