Dr. Ahmad Aghaebrahimian
Dr. Ahmad Aghaebrahimian
ZHAW
School of Life Sciences and Facility Management
FS Bioinformatics
Schloss
8820 Wädenswil
Projects
- Towards Enhancing Large Language Models with SNOMED CT for Multi-document Patient Records Summarization / Project leader / Project ongoing
- Boosting the Development of Plant Cell Cultures with Deep Learning Through Literature Mining / Project leader / Project completed
- AI for colorectal cancer: towards the improved CMS classification and interpretability / Team member / Project completed
- Inferring Ancestral Insertion and Deletion Events in Genomic Sequences / Team member / Project completed
- Computational Literature-based Discovery Methods / Team member / Project completed
- AuSuM – Automatic Supply Chain Monitoring / Deputy project leader / Project completed
Publications
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Lardos, Andreas; Aghaebrahimian, Ahmad; Koroleva, Anna; Sidorova, Julia; Wolfram, Evelyn; Anisimova, Maria; Gil, Manuel,
2022.
Frontiers in Bioinformatics.
2(827207).
Available from: https://doi.org/10.3389/fbinf.2022.827207
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Aghaebrahimian, Ahmad; Anisimova, Maria; Gil, Manuel,
2022.
Ontology-aware biomedical relation extraction [paper].
In:
Sojka, Petr; Horák, Aleš; Kopeček, Ivan; Pala, Karel, eds.,
Text, Speech, and Dialogue.
25th International Conference on Text, Speech and Dialogue (TSD), Brno, Czech Republic, 6-9 September 2022.
Cham:
Springer.
pp. 160-171.
Lecture Notes in Computer Science ; 13502.
Available from: https://doi.org/10.1007/978-3-031-16270-1_14
-
Tuggener, Don; Aghaebrahimian, Ahmad,
2021.
The Sentence End and Punctuation Prediction in NLG text (SEPP-NLG) shared task 2021 [paper].
In:
Proceedings of the Swiss Text Analytics Conference 2021.
Swiss Text Analytics Conference – SwissText 2021, Online, 14-16 June 2021.
CEUR Workshop Proceedings.
Available from: https://doi.org/10.21256/zhaw-23258
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Aghaebrahimian, Ahmad; Cieliebak, Mark,
2020.
Named entity disambiguation at scale [paper].
In:
Schilling, Frank-Peter; Stadelmann, Thilo, eds.,
Artificial Neural Networks in Pattern Recognition.
9th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR'20), Winterthur, Switzerland, 2-4 September 2020.
Cham:
Springer.
pp. 102-110.
Lecture Notes in Computer Science ; 12294.
Available from: https://doi.org/10.1007/978-3-030-58309-5_8
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Aghaebrahimian, Ahmad; Cieliebak, Mark,
2019.
Hyperparameter tuning for deep learning in natural language processing [paper].
In:
4th Swiss Text Analytics Conference (SwissText 2019), Winterthur, June 18-19 2019.
Swisstext.
Available from: https://doi.org/10.21256/zhaw-18993
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Aghaebrahimian, Ahmad; Ustaszewski, Michael; Stauder, Andy,
2019.
The TransBank Aligner : cross-sentence alignment with Deep Neural Networks [paper].
In:
Ekstein, Kamil, ed.,
Text, Speech, and Dialogue.
22nd International Conference on Text, Speech and Dialogue (TSD), Ljubljana, Slovenia, 11-13 September 2019.
Cham:
Springer.
pp. 185-196.
Lecture Notes in Computer Science ; 11697.
Available from: https://doi.org/10.1007/978-3-030-27947-9_16
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Aghaebrahimian, Ahmad; Cieliebak, Mark,
2019.
Towards integration of statistical hypothesis tests into deep neural networks [paper].
In:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.
57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, 28 July - 2 August 2019.
Association for Computational Linguistics.
pp. 5551-5557.
Available from: https://doi.org/10.18653/v1/P19-1557