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Malikeh Ehghaghi
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Arcee's MergeKit: A Toolkit for Merging Large Language Models
C Goddard, S Siriwardhana, M Ehghaghi, L Meyers, V Karpukhin, ...
EMNLP 2024 Industry Track, 2024
782024
Depac: a corpus for depression and anxiety detection from speech
M Tasnim, M Ehghaghi, B Diep, J Novikova
Proceedings of the Eighth Workshop on Computational Linguistics and Clinical …, 2023
212023
Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data
M Ehghaghi, F Rudzicz, J Novikova
Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022 …, 2022
72022
Interpretable Disease Prediction from Clinical Text by Leveraging Pattern Disentanglement
M Ehghaghi, PY Zhou, WY Cheng, S Rajabi, CH Kuo, ESA Lee
2023 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2023
22023
Factors Affecting the Performance of Automated Speaker Verification in Alzheimer's Disease Clinical Trials
M Ehghaghi, M Stanojevic, A Akram, J Novikova
Proceedings of the Fifth Clinical Natural Language Processing Workshop …, 2023
12023
Merging in a Bottle: Differentiable Adaptive Merging (DAM) and the Path from Averaging to Automation
T Gauthier-Caron, S Siriwardhana, E Stein, M Ehghaghi, C Goddard, ...
arXiv preprint arXiv:2410.08371, 2024
2024
Zero-Shot Multi-Lingual Speaker Verification in Clinical Trials
A Akram, M Stanojevic, M Ehghaghi, J Novikova
arXiv preprint arXiv:2404.01981, 2024
2024
ML4CMH: First Workshop on Machine Learning for Cognitive and Mental Health
M Stanojevic
2024
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