{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T20:33:37Z","timestamp":1774125217876,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,21]],"date-time":"2023-06-21T00:00:00Z","timestamp":1687305600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,21]]},"DOI":"10.1145\/3573900.3591114","type":"proceedings-article","created":{"date-parts":[[2023,6,5]],"date-time":"2023-06-05T10:08:54Z","timestamp":1685959734000},"page":"96-106","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["From Explainable AI to Explainable Simulation: Using Machine Learning and XAI to understand System Robustness"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7456-5077","authenticated-orcid":false,"given":"Niclas","family":"Feldkamp","sequence":"first","affiliation":[{"name":"Technische Universit\u00e4t Ilmenau, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0702-9127","authenticated-orcid":false,"given":"Steffen","family":"Strassburger","sequence":"additional","affiliation":[{"name":"Technische Universit\u00e4t Ilmenau, Germany"}]}],"member":"320","published-online":{"date-parts":[[2023,6,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.inffus.2019.12.012","article-title":"Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI","volume":"58","author":"Barredo-Arrieta Alejandro","year":"2020","unstructured":"Alejandro Barredo-Arrieta , Natalia D\u00edaz-Rodr\u00edguez , Javier Del Ser , Adrien Bennetot , Siham Tabik , Alberto Barbado , Salvador Garcia , Sergio Gil-Lopez , Daniel Molina , Richard Benjamins , Raja Chatila , and Francisco Herrera . 2020 . Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI . Information Fusion 58 , 82 \u2013 115 . DOI: https:\/\/doi.org\/10.1016\/j.inffus.2019.12.012. 10.1016\/j.inffus.2019.12.012 Alejandro Barredo-Arrieta, Natalia D\u00edaz-Rodr\u00edguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador Garcia, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, and Francisco Herrera. 2020. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion 58, 82\u2013115. DOI: https:\/\/doi.org\/10.1016\/j.inffus.2019.12.012.","journal-title":"Information Fusion"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3389\/fdata.2021.688969"},{"key":"e_1_3_2_1_3_1","volume-title":"41st International Convention on Information and Communication Technology, Electronics and Microelectronics","author":"Dosilovic Filip K.","unstructured":"Filip K. Dosilovic , Mario Brcic , and Nikica Hlupic . 2018. Explainable Artificial Intelligence: A Survey . In 41st International Convention on Information and Communication Technology, Electronics and Microelectronics . Institute of Electrical and Electronics Engineers , Piscataway, New Jersey, 210\u2013215. DOI: https:\/\/doi.org\/10.23919\/MIPRO.2018.8400040. 10.23919\/MIPRO.2018.8400040 Filip K. Dosilovic, Mario Brcic, and Nikica Hlupic. 2018. Explainable Artificial Intelligence: A Survey. In 41st International Convention on Information and Communication Technology, Electronics and Microelectronics. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey, 210\u2013215. DOI: https:\/\/doi.org\/10.23919\/MIPRO.2018.8400040."},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of the 2021 Winter Simulation Conference. Institute of Electrical and Electronics Engineers","author":"Feldkamp Niclas","year":"2021","unstructured":"Niclas Feldkamp . 2021 . Data Farming Output Analysis Using Explainable AI . In Proceedings of the 2021 Winter Simulation Conference. Institute of Electrical and Electronics Engineers , Piscataway, New Jersey. Niclas Feldkamp. 2021. Data Farming Output Analysis Using Explainable AI. In Proceedings of the 2021 Winter Simulation Conference. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503511"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2769458.2769468"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3391299"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/3242181.3242526"},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of the 2022 Winter Simulation Conference. IEEE, 1152\u20131163","author":"Feldkamp Niclas","year":"2022","unstructured":"Niclas Feldkamp , Jonas Genath , and Steffen Strassburger . 2022 . Explainable AI For Data Farming Output Analysis: A Use Case for Knowledge Generation Through Black-Box Classifiers . In Proceedings of the 2022 Winter Simulation Conference. IEEE, 1152\u20131163 . Niclas Feldkamp, Jonas Genath, and Steffen Strassburger. 2022. Explainable AI For Data Farming Output Analysis: A Use Case for Knowledge Generation Through Black-Box Classifiers. In Proceedings of the 2022 Winter Simulation Conference. IEEE, 1152\u20131163."},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the 2021 Winter Simulation Conference. Institute of Electrical and Electronics Engineers","author":"Genath Jonas","year":"2021","unstructured":"Jonas Genath . 2021 . Automation within the Process of Knowledge Discovery in Simulation Data [Poster] . In Proceedings of the 2021 Winter Simulation Conference. Institute of Electrical and Electronics Engineers , Piscataway, New Jersey. Jonas Genath. 2021. Automation within the Process of Knowledge Discovery in Simulation Data [Poster]. In Proceedings of the 2021 Winter Simulation Conference. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","first-page":"121","DOI":"10.11128\/sne.32.tn.10611","article-title":"Development of an Integrated Solution for Data Farming and Knowledge Discovery in Simulation Data","volume":"32","author":"Genath Jonas","year":"2022","unstructured":"Jonas Genath , S\u00f6ren Bergmann , Niclas Feldkamp , Sven Spieckermann , and Stephan Stauber . 2022 . Development of an Integrated Solution for Data Farming and Knowledge Discovery in Simulation Data . SNE 32 , 3, 121 \u2013 126 . DOI: https:\/\/doi.org\/10.11128\/sne.32.tn.10611. 10.11128\/sne.32.tn.10611 Jonas Genath, S\u00f6ren Bergmann, Niclas Feldkamp, Sven Spieckermann, and Stephan Stauber. 2022. Development of an Integrated Solution for Data Farming and Knowledge Discovery in Simulation Data. SNE 32, 3, 121\u2013126. DOI: https:\/\/doi.org\/10.11128\/sne.32.tn.10611.","journal-title":"SNE"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1609\/aimag.v38i3.2741","article-title":"European Union Regulations on Algorithmic Decision-Making and a \u201cRight to Explanation","volume":"38","author":"Goodman Bryce","year":"2017","unstructured":"Bryce Goodman and Seth Flaxman . 2017 . European Union Regulations on Algorithmic Decision-Making and a \u201cRight to Explanation \u201d. AIMag 38 , 3, 50 \u2013 57 . DOI: https:\/\/doi.org\/10.1609\/aimag.v38i3.2741. 10.1609\/aimag.v38i3.2741 Bryce Goodman and Seth Flaxman. 2017. European Union Regulations on Algorithmic Decision-Making and a \u201cRight to Explanation\u201d. AIMag 38, 3, 50\u201357. DOI: https:\/\/doi.org\/10.1609\/aimag.v38i3.2741.","journal-title":"AIMag"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3236009"},{"key":"e_1_3_2_1_14_1","volume-title":"MODSIM World Conference and Expo. Langley Research Center","author":"Horne G. E.","unstructured":"G. E. Horne and T. Meyer . 2010. Data farming and defense applications . In MODSIM World Conference and Expo. Langley Research Center , Hampton, VA, 74\u201382. G. E. Horne and T. Meyer. 2010. Data farming and defense applications. In MODSIM World Conference and Expo. Langley Research Center, Hampton, VA, 74\u201382."},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the 2005 Winter Simulation Conference. Institute of Electrical and Electronics Engineers","author":"Gary","unstructured":"Gary E. Horne and Ted E. Meyer. 2005. Data Farming: Discovering Surprise . In Proceedings of the 2005 Winter Simulation Conference. Institute of Electrical and Electronics Engineers , Piscataway, New Jersey, 1082\u20131087. Gary E. Horne and Ted E. Meyer. 2005. Data Farming: Discovering Surprise. In Proceedings of the 2005 Winter Simulation Conference. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey, 1082\u20131087."},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the 2008 Winter Simulation Conference. Institute of Electrical and Electronics Engineers","author":"Gary","year":"2008","unstructured":"Gary E. Horne and Klaus-Peter Schwierz. 2008. Data Farming Around The World Overview . In Proceedings of the 2008 Winter Simulation Conference. Institute of Electrical and Electronics Engineers , Piscataway, New Jersey, 1442\u20131447. DOI: https:\/\/doi.org\/10.1109\/WSC. 2008 .4736222. 10.1109\/WSC.2008.4736222 Gary E. Horne and Klaus-Peter Schwierz. 2008. Data Farming Around The World Overview. In Proceedings of the 2008 Winter Simulation Conference. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey, 1442\u20131447. DOI: https:\/\/doi.org\/10.1109\/WSC.2008.4736222."},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the 2021 Winter Simulation Conference. Institute of Electrical and Electronics Engineers","author":"Hunker Joachim","unstructured":"Joachim Hunker , Anne Antonia Scheidler , Markus Rabe , and Hendrik van der Valk. 2021. A New Data Farming Procedure Model for a Farming for Mining Method in Logistics Networks . In Proceedings of the 2021 Winter Simulation Conference. Institute of Electrical and Electronics Engineers , Piscataway, New Jersey. Joachim Hunker, Anne Antonia Scheidler, Markus Rabe, and Hendrik van der Valk. 2021. A New Data Farming Procedure Model for a Farming for Mining Method in Logistics Networks. In Proceedings of the 2021 Winter Simulation Conference. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2012.677551"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2021.01.156"},{"key":"e_1_3_2_1_20_1","unstructured":"Yi-Shan Lin Wen-Chuan Lee and Z. B. Celik. 2020. What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors arxiv.org Preprint. http:\/\/arxiv.org\/pdf\/2009.10639v1.  Yi-Shan Lin Wen-Chuan Lee and Z. B. Celik. 2020. What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors arxiv.org Preprint. http:\/\/arxiv.org\/pdf\/2009.10639v1."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1002\/nav.21628"},{"key":"e_1_3_2_1_22_1","first-page":"I","article-title":"A Unified Approach to Interpreting Model Predictions","volume":"30","author":"Lundberg Scott M.","year":"2017","unstructured":"Scott M. Lundberg and Su-In Lee . 2017 . A Unified Approach to Interpreting Model Predictions . In Advances in Neural Information Processing Systems 30 , I . Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan and R. Garnett, Eds. Curran Associates, Inc, 4765\u20134774. Scott M. Lundberg and Su-In Lee. 2017. A Unified Approach to Interpreting Model Predictions. In Advances in Neural Information Processing Systems 30, I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan and R. Garnett, Eds. Curran Associates, Inc, 4765\u20134774.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_23_1","unstructured":"Maximilian Alber Sebastian Lapuschkin Philipp Seegerer Miriam H\u00e4gele Kristof T. Sch\u00fctt Gr\u00e9goire Montavon Wojciech Samek Klaus-Robert M\u00fcller Sven D\u00e4hne and Pieter-Jan Kindermans. 2019. iNNvestigate Neural Networks! Journal of Machine Learning Research 20 93 1\u20138.  Maximilian Alber Sebastian Lapuschkin Philipp Seegerer Miriam H\u00e4gele Kristof T. Sch\u00fctt Gr\u00e9goire Montavon Wojciech Samek Klaus-Robert M\u00fcller Sven D\u00e4hne and Pieter-Jan Kindermans. 2019. iNNvestigate Neural Networks! Journal of Machine Learning Research 20 93 1\u20138."},{"key":"e_1_3_2_1_24_1","volume-title":"Interpretable Machine Learning. A Guide for Making Black Box Models Explainable","author":"Molnar Christoph","unstructured":"Christoph Molnar . 2019. Interpretable Machine Learning. A Guide for Making Black Box Models Explainable ( 1 st edition). Lulu Com , Z\u00fcrich . Christoph Molnar. 2019. Interpretable Machine Learning. A Guide for Making Black Box Models Explainable (1st edition). Lulu Com, Z\u00fcrich.","edition":"1"},{"key":"e_1_3_2_1_25_1","series-title":"Lecture Notes in Computer Science","volume-title":"Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert M\u00fcller and Wojciech Samek, Eds","author":"Molnar Christoph","unstructured":"Christoph Molnar , Gunnar K\u00f6nig , Julia Herbinger , Timo Freiesleben , Susanne Dandl , Christian A. Scholbeck , Giuseppe Casalicchio , Moritz Grosse-Wentrup , and Bernd Bischl . 2022. General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models. In xxAI - Beyond Explainable AI , Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert M\u00fcller and Wojciech Samek, Eds . Lecture Notes in Computer Science . Springer International Publishing , Cham , 39\u201368. Christoph Molnar, Gunnar K\u00f6nig, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, and Bernd Bischl. 2022. General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models. In xxAI - Beyond Explainable AI, Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert M\u00fcller and Wojciech Samek, Eds. Lecture Notes in Computer Science. Springer International Publishing, Cham, 39\u201368."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2942390"},{"key":"e_1_3_2_1_27_1","first-page":"2","article-title":"Taguchi's Parameter Design","volume":"34","author":"Nair Vijayan N.","year":"1992","unstructured":"Vijayan N. Nair , Bovas Abraham , Jock MacKay , John A. Nelder , George Box , Madhav S. Phadke , Raghu N. Kacker , Jerome Sacks , William J. Welch , Thomas J. Lorenzen , Anne C. Shoemaker , Kwok L. Tsui , James M. Lucas , Shin Taguchi , Raymond H. Myers , G. G. Vining , and C. F. J. Wu . 1992 . Taguchi's Parameter Design . A Panel Discussion. Technometrics 34 , 2 , 127. DOI: https:\/\/doi.org\/10.2307\/1269231. 10.2307\/1269231 Vijayan N. Nair, Bovas Abraham, Jock MacKay, John A. Nelder, George Box, Madhav S. Phadke, Raghu N. Kacker, Jerome Sacks, William J. Welch, Thomas J. Lorenzen, Anne C. Shoemaker, Kwok L. Tsui, James M. Lucas, Shin Taguchi, Raymond H. Myers, G. G. Vining, and C. F. J. Wu. 1992. Taguchi's Parameter Design. A Panel Discussion. Technometrics 34, 2, 127. DOI: https:\/\/doi.org\/10.2307\/1269231.","journal-title":"A Panel Discussion. Technometrics"},{"key":"e_1_3_2_1_28_1","volume-title":"Proceedings of the 2006 Winter Simulation Conference","author":"Painter Michael K.","year":"2006","unstructured":"Michael K. Painter , Madhav Erraguntla , Gary L. Hogg , and Brian Beachkofski . 2006 . Using Simulation, Data Mining, and Knowledge Discovery Techniques for Optimized Aircraft Engine Fleet Management . In Proceedings of the 2006 Winter Simulation Conference . Monterey, CA, U.S.A. , Dec 3-6, 2006. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey. Michael K. Painter, Madhav Erraguntla, Gary L. Hogg, and Brian Beachkofski. 2006. Using Simulation, Data Mining, and Knowledge Discovery Techniques for Optimized Aircraft Engine Fleet Management. In Proceedings of the 2006 Winter Simulation Conference. Monterey, CA, U.S.A., Dec 3-6, 2006. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.2514\/1.13639"},{"key":"#cr-split#-e_1_3_2_1_30_1.1","doi-asserted-by":"crossref","unstructured":"Amir Parnianifard A. S. Azfanizam M.K.A. Ariffin and M.I.S. Ismail. 2018. An overview on robust design hybrid metamodeling: Advanced methodology in process optimization under uncertainty. 10.5267\/j.ijiec 9 1-32. DOI: https:\/\/doi.org\/10.5267\/j.ijiec.2017.5.003. 10.5267\/j.ijiec.2017.5.003","DOI":"10.5267\/j.ijiec.2017.5.003"},{"key":"#cr-split#-e_1_3_2_1_30_1.2","doi-asserted-by":"crossref","unstructured":"Amir Parnianifard A. S. Azfanizam M.K.A. Ariffin and M.I.S. Ismail. 2018. An overview on robust design hybrid metamodeling: Advanced methodology in process optimization under uncertainty. 10.5267\/j.ijiec 9 1-32. DOI: https:\/\/doi.org\/10.5267\/j.ijiec.2017.5.003.","DOI":"10.5267\/j.ijiec.2017.5.003"},{"key":"e_1_3_2_1_31_1","volume-title":"Quality engineering using robust design","author":"Phadke Madhav S.","unstructured":"Madhav S. Phadke . 1989. Quality engineering using robust design . Prentice Hall , Englewood Cliffs, N.J. Madhav S. Phadke. 1989. Quality engineering using robust design. Prentice Hall, Englewood Cliffs, N.J."},{"key":"e_1_3_2_1_32_1","volume-title":"Values, Concerns and Challenges. In Explainable and Interpretable Models in Computer Vision and Machine Learning, Hugo J","author":"Ras Gabri\u00eblle","unstructured":"Gabri\u00eblle Ras , Marcel van Gerven , and Pim Haselager . 2018. Explanation Methods in Deep Learning: Users , Values, Concerns and Challenges. In Explainable and Interpretable Models in Computer Vision and Machine Learning, Hugo J . Escalante, Sergio Escalera, Isabelle Guyon, Xavier Bar\u00f3, Ya\u011fmur G\u00fc\u00e7l\u00fct\u00fcrk, Umut G\u00fc\u00e7l\u00fc and Marcel van Gerven, Eds. The Springer Series on Challenges in Machine Learning. Springer International Publishing , Cham, 19\u201336. DOI: https:\/\/doi.org\/10.1007\/978-3-319-98131-4_2. 10.1007\/978-3-319-98131-4_2 Gabri\u00eblle Ras, Marcel van Gerven, and Pim Haselager. 2018. Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges. In Explainable and Interpretable Models in Computer Vision and Machine Learning, Hugo J. Escalante, Sergio Escalera, Isabelle Guyon, Xavier Bar\u00f3, Ya\u011fmur G\u00fc\u00e7l\u00fct\u00fcrk, Umut G\u00fc\u00e7l\u00fc and Marcel van Gerven, Eds. The Springer Series on Challenges in Machine Learning. Springer International Publishing, Cham, 19\u201336. DOI: https:\/\/doi.org\/10.1007\/978-3-319-98131-4_2."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11491"},{"key":"e_1_3_2_1_35_1","volume-title":"Proceedings of the 2000 Winter Simulation Conference. IEEE Inc, Piscataway, N.J., 69\u201376","author":"Sanchez S. M.","year":"2000","unstructured":"S. M. Sanchez . 2000 . Robust Design: Seeking the Best of all Possible Worlds . In Proceedings of the 2000 Winter Simulation Conference. IEEE Inc, Piscataway, N.J., 69\u201376 . DOI: https:\/\/doi.org\/10.1109\/WSC.2000.899700. 10.1109\/WSC.2000.899700 S. M. Sanchez. 2000. Robust Design: Seeking the Best of all Possible Worlds. In Proceedings of the 2000 Winter Simulation Conference. IEEE Inc, Piscataway, N.J., 69\u201376. DOI: https:\/\/doi.org\/10.1109\/WSC.2000.899700."},{"key":"e_1_3_2_1_36_1","volume-title":"Proceedings of the 1994 Winter Simulation Conference, 106\u2013113","author":"Sanchez Susan M.","year":"1994","unstructured":"Susan M. Sanchez . 1994 . A Robust Design Tutorial . In Proceedings of the 1994 Winter Simulation Conference, 106\u2013113 . DOI: https:\/\/doi.org\/10.1109\/WSC.1994.717084. 10.1109\/WSC.1994.717084 Susan M. Sanchez. 1994. A Robust Design Tutorial. In Proceedings of the 1994 Winter Simulation Conference, 106\u2013113. DOI: https:\/\/doi.org\/10.1109\/WSC.1994.717084."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/WSC.2014.7019942"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3425398"},{"key":"e_1_3_2_1_39_1","volume-title":"Proceedings of the 2020 Winter Simulation Conference. Institute of Electrical and Electronics Engineers","author":"Susan","year":"2020","unstructured":"Susan M. Sanchez and Paul J. Sanchez. 2020. Robustness Revisited: Simulation Optimization Viewed Through A Different Lens . In Proceedings of the 2020 Winter Simulation Conference. Institute of Electrical and Electronics Engineers , Piscataway, New Jersey, 60\u201374. DOI: https:\/\/doi.org\/10.1109\/WSC48552. 2020 .9383880. 10.1109\/WSC48552.2020.9383880 Susan M. Sanchez and Paul J. Sanchez. 2020. Robustness Revisited: Simulation Optimization Viewed Through A Different Lens. In Proceedings of the 2020 Winter Simulation Conference. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey, 60\u201374. DOI: https:\/\/doi.org\/10.1109\/WSC48552.2020.9383880."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1093\/idpl\/ipx022"},{"key":"e_1_3_2_1_41_1","volume-title":"Proceedings of the 2022 Winter Simulation Conference. IEEE","author":"Serre Lynne","year":"2022","unstructured":"Lynne Serre and Maude Amyot-Bourgeois . 2022 . An Application of Automated Machine Learning Within a Data Farming Process . In Proceedings of the 2022 Winter Simulation Conference. IEEE , 2013\u20132024. DOI: https:\/\/doi.org\/10.1109\/WSC57314.2022.10015513. 10.1109\/WSC57314.2022.10015513 Lynne Serre and Maude Amyot-Bourgeois. 2022. An Application of Automated Machine Learning Within a Data Farming Process. In Proceedings of the 2022 Winter Simulation Conference. IEEE, 2013\u20132024. DOI: https:\/\/doi.org\/10.1109\/WSC57314.2022.10015513."},{"key":"e_1_3_2_1_42_1","volume-title":"Use of Shapley Additive Explanations in Interpreting Agent-Based Simulations of Military Operational Scenarios. In 2021 Annual Modeling and Simulation Conference (ANNSIM). IEEE, 1\u201312","author":"Serre Lynne","year":"2021","unstructured":"Lynne Serre , Maude Amyot-Bourgeois , and Brittany Astles . 2021 . Use of Shapley Additive Explanations in Interpreting Agent-Based Simulations of Military Operational Scenarios. In 2021 Annual Modeling and Simulation Conference (ANNSIM). IEEE, 1\u201312 . DOI: https:\/\/doi.org\/10.23919\/ANNSIM52504.2021.9552151. 10.23919\/ANNSIM52504.2021.9552151 Lynne Serre, Maude Amyot-Bourgeois, and Brittany Astles. 2021. Use of Shapley Additive Explanations in Interpreting Agent-Based Simulations of Military Operational Scenarios. In 2021 Annual Modeling and Simulation Conference (ANNSIM). IEEE, 1\u201312. DOI: https:\/\/doi.org\/10.23919\/ANNSIM52504.2021.9552151."},{"key":"e_1_3_2_1_43_1","first-page":"1","article-title":"Explainable Deep Learning Models in Medical Image Analysis","volume":"6","author":"Singh Amitojdeep","year":"2020","unstructured":"Amitojdeep Singh , Sourya Sengupta , and Vasudevan Lakshminarayanan . 2020 . Explainable Deep Learning Models in Medical Image Analysis . Journal of imaging 6 , 6, 1 \u2013 19 . DOI: https:\/\/doi.org\/10.3390\/jimaging6060052. 10.3390\/jimaging6060052 Amitojdeep Singh, Sourya Sengupta, and Vasudevan Lakshminarayanan. 2020. Explainable Deep Learning Models in Medical Image Analysis. Journal of imaging 6, 6, 1\u201319. DOI: https:\/\/doi.org\/10.3390\/jimaging6060052.","journal-title":"Journal of imaging"},{"key":"e_1_3_2_1_44_1","volume-title":"Data Farming Research Project with Audi and VW. In 2018 Plant Simulation Worldwide User Conference.","author":"Strassburger Steffen","year":"2018","unstructured":"Steffen Strassburger , S\u00f6ren Bergmann , Niclas Feldkamp , Kristina Sokoll , and Matthias Clausing . 2018 . Data Farming Research Project with Audi and VW. In 2018 Plant Simulation Worldwide User Conference. Steffen Strassburger, S\u00f6ren Bergmann, Niclas Feldkamp, Kristina Sokoll, and Matthias Clausing. 2018. Data Farming Research Project with Audi and VW. In 2018 Plant Simulation Worldwide User Conference."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/24.387375"},{"key":"e_1_3_2_1_46_1","first-page":"1","article-title":"A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI","author":"Tjoa Erico","year":"2020","unstructured":"Erico Tjoa and Cuntai Guan . 2020 . A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI . IEEE Transactions on Neural Networks and Learning Systems , 1 \u2013 21 . DOI: https:\/\/doi.org\/10.1109\/tnnls.2020.3027314. 10.1109\/tnnls.2020.3027314 Erico Tjoa and Cuntai Guan. 2020. A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI. IEEE Transactions on Neural Networks and Learning Systems, 1\u201321. DOI: https:\/\/doi.org\/10.1109\/tnnls.2020.3027314.","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1057\/jos.2013.14"},{"key":"e_1_3_2_1_48_1","volume-title":"Retrieved","author":"Vieira H\u00e9lcio","year":"2012","unstructured":"H\u00e9lcio Vieira . 2012. NOB_Mixed_512DP_v2.xls design spreadsheet ( 2012 ). Retrieved February 1, 2023 from http:\/\/harvest.nps.edu\/. H\u00e9lcio Vieira. 2012. NOB_Mixed_512DP_v2.xls design spreadsheet (2012). Retrieved February 1, 2023 from http:\/\/harvest.nps.edu\/."}],"event":{"name":"SIGSIM-PADS '23: SIGSIM Conference on Principles of Advanced Discrete Simulation","location":"Orlando FL USA","acronym":"SIGSIM-PADS '23","sponsor":["SIGSIM ACM Special Interest Group on Simulation and Modeling"]},"container-title":["ACM SIGSIM Conference on Principles of Advanced Discrete Simulation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3573900.3591114","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:21Z","timestamp":1750182561000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3573900.3591114"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,21]]},"references-count":49,"alternative-id":["10.1145\/3573900.3591114","10.1145\/3573900"],"URL":"https:\/\/doi.org\/10.1145\/3573900.3591114","relation":{},"subject":[],"published":{"date-parts":[[2023,6,21]]},"assertion":[{"value":"2023-06-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}