Dr. Ahmad Aghaebrahimian

Projects

• Advancing Information Accessibility in Hospitals Employing Large Language Models / Project leader / ongoing
• Radio Signal Unsupervised and Transfer Learning / Team member / ongoing
• Towards Enhancing Large Language Models with SNOMED CT for Multi-document Patient Records Summarization / Project leader / completed
• Boosting the Development of Plant Cell Cultures with Deep Learning Through Literature Mining / Project leader / completed
• AI for colorectal cancer: towards the improved CMS classification and interpretability / Team member / completed
• AuSuM – Automatic Supply Chain Monitoring / Deputy project leader / completed

Publications

• Glüge, Stefan; Nyfeler, Matthias; Aghaebrahimian, Ahmad; Ramagnano, Nicola; Schüpbach, Christof,

  2024.

  Robust low-cost drone detection and classification using convolutional neural networks in low SNR environments.

  IEEE Journal of Radio Frequency Identification.

  8, pp. 821-830.

  Available from: https://doi.org/10.1109/JRFID.2024.3487303

• Lardos, Andreas; Aghaebrahimian, Ahmad; Koroleva, Anna; Sidorova, Julia; Wolfram, Evelyn; Anisimova, Maria; Gil, Manuel,

  2022.

  Computational literature-based discovery for natural products research : current state and future prospects.

  Frontiers in Bioinformatics.

  2(827207).

  Available from: https://doi.org/10.3389/fbinf.2022.827207

• 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

• 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

• 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

• 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

• 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

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