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Bangkok, thailand: Association For Computational Linguistics, 2024. <a href=\"https://doi.org/10.18653/v1/2024.acl-short.41\">https://doi.org/10.18653/v1/2024.acl-short.41</a>.","ama":"Thielmann AF, Reuter A, Weisser C, Säfken B, Kant G, Kumar M. STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module. In: Ku L-W, Martins A, Srikumar V, eds. <i>Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 2: Short Papers</i>. Vol 2. Bangkok, thailand: Association For Computational Linguistics; 2024:435-444. doi:<a href=\"https://doi.org/10.18653/v1/2024.acl-short.41\">10.18653/v1/2024.acl-short.41</a>"},"conference":{"end_date":"2024-08-16","location":"Bangkok, Thailand","start_date":"2024-08-11","name":"62nd Annual Meeting of the Association for Computational Linguistics"},"doi":"10.18653/v1/2024.acl-short.41","title":"STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module","_id":"6922","year":"2024","publisher":"Association For Computational Linguistics","publication_status":"published","intvolume":"         2","status":"public","language":[{"iso":"eng"}]},{"publication_status":"published","intvolume":"       128","_id":"6921","year":"2024","title":"A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery","article_type":"original","language":[{"iso":"eng"}],"status":"public","oa":"1","page":"21349-21367","author":[{"last_name":"Semnani","full_name":"Semnani, Parastoo","first_name":"Parastoo"},{"first_name":"Mihail","last_name":"Bogojeski","full_name":"Bogojeski, Mihail"},{"last_name":"Bley","full_name":"Bley, Florian","first_name":"Florian"},{"first_name":"Zizheng","full_name":"Zhang, Zizheng","last_name":"Zhang"},{"last_name":"Wu","full_name":"Wu, Qiong","first_name":"Qiong"},{"full_name":"Kneib, Thomas","last_name":"Kneib","first_name":"Thomas"},{"first_name":"Jan","full_name":"Herrmann, Jan","last_name":"Herrmann"},{"first_name":"Christoph","id":"264138","full_name":"Weisser, Christoph","last_name":"Weisser"},{"last_name":"Patcas","full_name":"Patcas, Florina","first_name":"Florina"},{"first_name":"Klaus-Robert","full_name":"Müller, Klaus-Robert","last_name":"Müller"}],"quality_controlled":"1","date_updated":"2026-05-29T07:23:09Z","main_file_link":[{"open_access":"1"}],"type":"journal_article","volume":128,"publication":"Journal of Physical Chemistry C","date_created":"2026-05-28T11:16:13Z","user_id":"220548","publication_identifier":{"eissn":["1932-7455"],"issn":["1932-7447"]},"doi":"10.1021/acs.jpcc.4c05332","issue":"50","citation":{"bibtex":"@article{Semnani_Bogojeski_Bley_Zhang_Wu_Kneib_Herrmann_Weisser_Patcas_Müller_2024, title={A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery}, volume={128}, DOI={<a href=\"https://doi.org/10.1021/acs.jpcc.4c05332\">10.1021/acs.jpcc.4c05332</a>}, number={50}, journal={Journal of Physical Chemistry C}, author={Semnani, Parastoo and Bogojeski, Mihail and Bley, Florian and Zhang, Zizheng and Wu, Qiong and Kneib, Thomas and Herrmann, Jan and Weisser, Christoph and Patcas, Florina and Müller, Klaus-Robert}, year={2024}, pages={21349–21367} }","alphadin":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Semnani, Parastoo</span> ; <span style=\"font-variant:small-caps;\">Bogojeski, Mihail</span> ; <span style=\"font-variant:small-caps;\">Bley, Florian</span> ; <span style=\"font-variant:small-caps;\">Zhang, Zizheng</span> ; <span style=\"font-variant:small-caps;\">Wu, Qiong</span> ; <span style=\"font-variant:small-caps;\">Kneib, Thomas</span> ; <span style=\"font-variant:small-caps;\">Herrmann, Jan</span> ; <span style=\"font-variant:small-caps;\">Weisser, Christoph</span> ; u. a.</span>: A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. In: <i>Journal of Physical Chemistry C</i> Bd. 128 (2024), Nr. 50, S. 21349–21367","short":"P. Semnani, M. Bogojeski, F. Bley, Z. Zhang, Q. Wu, T. Kneib, J. Herrmann, C. Weisser, F. Patcas, K.-R. Müller, Journal of Physical Chemistry C 128 (2024) 21349–21367.","mla":"Semnani, Parastoo, et al. “A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery.” <i>Journal of Physical Chemistry C</i>, vol. 128, no. 50, 2024, pp. 21349–67, doi:<a href=\"https://doi.org/10.1021/acs.jpcc.4c05332\">10.1021/acs.jpcc.4c05332</a>.","ama":"Semnani P, Bogojeski M, Bley F, et al. A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. <i>Journal of Physical Chemistry C</i>. 2024;128(50):21349-21367. doi:<a href=\"https://doi.org/10.1021/acs.jpcc.4c05332\">10.1021/acs.jpcc.4c05332</a>","chicago":"Semnani, Parastoo, Mihail Bogojeski, Florian Bley, Zizheng Zhang, Qiong Wu, Thomas Kneib, Jan Herrmann, Christoph Weisser, Florina Patcas, and Klaus-Robert Müller. “A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery.” <i>Journal of Physical Chemistry C</i> 128, no. 50 (2024): 21349–67. <a href=\"https://doi.org/10.1021/acs.jpcc.4c05332\">https://doi.org/10.1021/acs.jpcc.4c05332</a>.","ieee":"P. Semnani <i>et al.</i>, “A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery,” <i>Journal of Physical Chemistry C</i>, vol. 128, no. 50, pp. 21349–21367, 2024.","apa":"Semnani, P., Bogojeski, M., Bley, F., Zhang, Z., Wu, Q., Kneib, T., … Müller, K.-R. (2024). A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. <i>Journal of Physical Chemistry C</i>, <i>128</i>(50), 21349–21367. <a href=\"https://doi.org/10.1021/acs.jpcc.4c05332\">https://doi.org/10.1021/acs.jpcc.4c05332</a>"}}]
