| Post-hoc explanation of black-box classifiers using confident itemsets M Moradi, M Samwald Expert Systems with Applications 165, 113941, 2021 | 97 | 2021 |
| Different approaches for identifying important concepts in probabilistic biomedical text summarization M Moradi, N Ghadiri Artificial Intelligence in Medicine 84, 101-116, 2018 | 80 | 2018 |
| Deep contextualized embeddings for quantifying the informative content in biomedical text summarization M Moradi, G Dorffner, M Samwald Computer Methods and Programs in Biomedicine 184, 105117, 2020 | 76 | 2020 |
| Evaluating the Robustness of Neural Language Models to Input Perturbations M Moradi, M Samwald EMNLP 2021, 2021 | 73 | 2021 |
| Performance evaluation of SQL and MongoDB databases for big e-commerce data SH Aboutorabi, M Rezapour, M Moradi, N Ghadiri Computer Science and Software Engineering (CSSE), 2015 International …, 2015 | 70 | 2015 |
| CIBS: A biomedical text summarizer using topic-based sentence clustering M Moradi Journal of Biomedical Informatics 88, 53-61, 2018 | 46 | 2018 |
| GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain M Moradi, K Blagec, F Haberl, M Samwald arXiv preprint arXiv:2109.02555, 2021 | 40 | 2021 |
| Quantifying the informativeness for biomedical literature summarization: An itemset mining method M Moradi, N Ghadiri Computer Methods and Programs in Biomedicine 146, 77–89, 2017 | 40 | 2017 |
| Summarization of biomedical articles using domain-specific word embeddings and graph ranking M Moradi, M Dashti, M Samwald Journal of Biomedical Informatics 107, 103452, 2020 | 38 | 2020 |
| A centralized reinforcement learning method for multi-agent job scheduling in Grid M Moradi 2016 6th International Conference on Computer and Knowledge Engineering …, 2016 | 29 | 2016 |
| A critical analysis of metrics used for measuring progress in artificial intelligence K Blagec, G Dorffner, M Moradi, M Samwald arXiv preprint arXiv:2008.02577, 2020 | 22 | 2020 |
| ThoughtSource: A central hub for large language model reasoning data S Ott, K Hebenstreit, V Liévin, C Egeberg Hother, M Moradi, ... Nature Scientific Data 10, 528, 2023 | 20 | 2023 |
| Explaining Black-box Models for Biomedical Text Classification M Moradi, M Samwald IEEE Journal of Biomedical and Health Informatics 25 (8), 3112-3120, 2021 | 20 | 2021 |
| Frequent Itemsets as Meaningful Events in Graphs for Summarizing Biomedical Texts M Moradi Computer and Knowledge Engineering (ICCKE), 2018 8th International …, 2018 | 18 | 2018 |
| Text Summarization in the Biomedical Domain M Moradi, N Ghadiri arXiv preprint arXiv:1908.02285, 2019 | 13 | 2019 |
| A global analysis of metrics used for measuring performance in natural language processing K Blagec, G Dorffner, M Moradi, S Ott, M Samwald Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in …, 2022 | 12 | 2022 |
| Deep learning, natural language processing, and explainable artificial intelligence in the biomedical domain M Moradi, M Samwald arXiv preprint arXiv:2202.12678, 2022 | 11 | 2022 |
| Improving the robustness and accuracy of biomedical language models through adversarial training M Moradi, M Samwald Journal of Biomedical Informatics 132, 104114, 2022 | 8 | 2022 |
| Small-world networks for summarization of biomedical articles M Moradi arXiv preprint arXiv:1903.02861, 2019 | 7 | 2019 |
| Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts M Moradi, M Samwald arXiv preprint arXiv:1908.02286, 2019 | 6 | 2019 |
Assoc.-Prof. Dr. Matthias SamwaldMedical University of ViennaVerifisert e-postadresse på meduniwien.ac.at
