| Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings KG Schmahl, TJ Viering, S Makrodimitris, AN Jahfari, D Tax, M Loog Proceedings of the Fourth Workshop on Natural Language Processing and …, 2020 | 22 | 2020 |
| Machine Learning for Cardiovascular Outcomes From Wearable Data: Systematic Review From a Technology Readiness Level Point of View A Naseri Jahfari, D Tax, M Reinders, I van der Bilt JMIR Med Inform 10 (1), e29434, 2022 | 17 | 2022 |
| Correspondence between perplexity scores and human evaluation of generated tv-show scripts P Keukeleire, T Viering, S Makrodimitris MS thesis, Dept. Comput. Sci. Eng., Delft Univ. Technol., Delft, The Netherlands, 2020 | 6 | 2020 |
| Data-efficient machine learning methods in the ME-TIME study: rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables A Naseri, D Tax, P van der Harst, M Reinders, I van der Bilt Cardiovascular Digital Health Journal 4 (6), 165-172, 2023 | 4 | 2023 |
| Who said that? Comparing performance of TF-IDF and fastText to identify authorship of short sentences T van Tussenbroek, T Viering, S Makrodimitris, A Naseri, D Tax, M Loog Bachelor’s Thesis, 2020 | 4 | 2020 |
| Gender bias in word embeddings of different languages T Raymakers Delft University of Technology, 2020 | 1 | 2020 |
| Heart disease detection using an acceleration-deceleration curve-based neural network with consumer-grade smartwatch data A Naseri, DMJ Tax, M Reinders, I van der Bilt Heliyon 10 (21), 2024 | | 2024 |
| Heart disease detection using an acceleration-deceleration curve-based neural network with consumer-grade smartwatch data A Naseri Jahfari, D Tax, MJT Reinders, I van der Bilt | | 2024 |
| Improving performance of heart rate time series classification by grouping subjects M Beekhuizen, A Naseri, D Tax, I van der Bilt, M Reinders arXiv preprint arXiv:2311.13285, 2023 | | 2023 |
| The effect of recentness of consumer-grade wearable training data on the ability of a DNN to identify users N van der Voort Delft University of Technology, 2023 | | 2023 |
| Performance of outlier detection on smartwatch data in single and multiple person environments: An analysis of the performance of different outlier detection methods on … L Wubben | | 2023 |
| Person identification using heart rate and activity from consumer-grade wearables: How do different types of cardiac diagnosis affect the accuracy of Deep Neural Networks to … J Harthoorn | | 2023 |
| A study of how outlier detectors can accurately authenticate multiple persons using the heart rate from consumer-grade wearables M Chiriţă | | 2023 |
| Feature extraction and classification on heart rate time series for cardiovascular diseases M Beekhuizen | | 2023 |
| Python implementation of the Support Vector Data Descriptor classifier AN Jahfari https://doi.org/10.5281/zenodo.5079875, 2021 | | 2021 |
| Transcranïele Magnetische Stimulator voor Muizen: Softwareontwerp A Naseri Jahfari, E Eland | | 2016 |
| It sounds like Greek to me J IJpma, M Loog, T Viering, S Makrodimitris, A Naseri | | |
