Ntua-slp at semeval-2018 task 1: Predicting affective content in tweets with deep attentive rnns and transfer learning C Baziotis, N Athanasiou, A Chronopoulou, A Kolovou, ... arXiv preprint arXiv:1804.06658, 2018 | 136 | 2018 |
Estimation and pricing under long-memory stochastic volatility A Chronopoulou, FG Viens Annals of finance 8 (2-3), 379-403, 2012 | 124 | 2012 |
An embarrassingly simple approach for transfer learning from pretrained language models A Chronopoulou, C Baziotis, A Potamianos arXiv preprint arXiv:1902.10547, 2019 | 113 | 2019 |
Stochastic volatility and option pricing with long-memory in discrete and continuous time A Chronopoulou, FG Viens Quantitative Finance 12 (4), 635-649, 2012 | 68 | 2012 |
Variations and Hurst index estimation for a Rosenblatt process using longer filters A Chronopoulou, FG Viens, CA Tudor | 50 | 2009 |
Self-similarity parameter estimation and reproduction property for non-Gaussian Hermite processes A Chronopoulou, F Viens, C Tudor arXiv preprint arXiv:0807.1208, 2008 | 43 | 2008 |
On inference for fractional differential equations A Chronopoulou, S Tindel Statistical Inference for Stochastic Processes 16 (1), 29-61, 2013 | 29 | 2013 |
Efficient hierarchical domain adaptation for pretrained language models A Chronopoulou, ME Peters, J Dodge arXiv preprint arXiv:2112.08786, 2021 | 21 | 2021 |
Hurst index estimation for self-similar processes with long-memory A Chronopoulou, FG Viens Recent Development in Stochastic Dynamics and Stochastic Analysis, 91-117, 2010 | 21 | 2010 |
Reusing a pretrained language model on languages with limited corpora for unsupervised nmt A Chronopoulou, D Stojanovski, A Fraser arXiv preprint arXiv:2009.07610, 2020 | 20 | 2020 |
NTUA-SLP at IEST 2018: Ensemble of neural transfer methods for implicit emotion classification A Chronopoulou, A Margatina, C Baziotis, A Potamianos arXiv preprint arXiv:1809.00717, 2018 | 17 | 2018 |
Inadequate rectal pressure and insufficient relaxation and abdominopelvic coordination in defecatory disorders B Deb, M Sharma, JG Fletcher, SG Srinivasan, A Chronopoulou, J Chen, ... Gastroenterology 162 (4), 1111-1122. e2, 2022 | 15 | 2022 |
Improving the lexical ability of pretrained language models for unsupervised neural machine translation A Chronopoulou, D Stojanovski, A Fraser arXiv preprint arXiv:2103.10531, 2021 | 14 | 2021 |
Maximum likelihood estimation for small noise multiscale diffusions K Spiliopoulos, A Chronopoulou Statistical Inference for Stochastic Processes 16, 237-266, 2013 | 14 | 2013 |
Application of Malliavin calculus to long-memory parameter estimation for non-Gaussian processes A Chronopoulou, CA Tudor, FG Viens Comptes Rendus. Mathématique 347 (11-12), 663-666, 2009 | 14 | 2009 |
Findings of the IWSLT 2023 Evaluation Campaign S Agrawal, A Anastasopoulos, L Bentivogli, O Bojar, C Borg, M Carpuat, ... Proceedings of the 20th International Conference on Spoken Language …, 2023 | 10 | 2023 |
Domain adversarial fine-tuning as an effective regularizer G Vernikos, K Margatina, A Chronopoulou, I Androutsopoulos arXiv preprint arXiv:2009.13366, 2020 | 8 | 2020 |
Adaptersoup: Weight averaging to improve generalization of pretrained language models A Chronopoulou, ME Peters, A Fraser, J Dodge arXiv preprint arXiv:2302.07027, 2023 | 7 | 2023 |
Spatial proximity as a behavioral marker of relationship dynamics in older adult couples BG Ogolsky, ST Mejia, A Chronopoulou, K Dobson, CR Maniotes, ... Journal of social and Personal Relationships 39 (10), 3116-3132, 2022 | 7 | 2022 |
Optimal sequential change detection for fractional diffusion-type processes A Chronopoulou, G Fellouris Journal of Applied Probability 50 (1), 29-41, 2013 | 7 | 2013 |