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(2023). <i>Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation</i>. Paderborn University.","chicago":"Simon-Mertens, Florian. <i>Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation</i>. Paderborn University, 2023.","short":"F. Simon-Mertens, Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation, Paderborn University, 2023.","mla":"Simon-Mertens, Florian. <i>Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation</i>. Paderborn University, 2023.","bibtex":"@book{Simon-Mertens_2023, title={Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation}, publisher={Paderborn University}, author={Simon-Mertens, Florian}, year={2023} }","ama":"Simon-Mertens F. <i>Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation</i>. Paderborn University; 2023."},"project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}]},{"supervisor":[{"id":"74287","full_name":"Clausing, Lennart","first_name":"Lennart","orcid":"0000-0003-3789-6034","last_name":"Clausing"},{"full_name":"Platzner, Marco","last_name":"Platzner","first_name":"Marco","id":"398"}],"citation":{"ieee":"R. Hamm, <i>Verarbeitung von Sensordaten auf eingebetteten heterogenen FPGA-Systemen</i>. Paderborn University, 2023.","apa":"Hamm, R. (2023). <i>Verarbeitung von Sensordaten auf eingebetteten heterogenen FPGA-Systemen</i>. Paderborn University.","chicago":"Hamm, Robin. <i>Verarbeitung von Sensordaten auf eingebetteten heterogenen FPGA-Systemen</i>. Paderborn University, 2023.","short":"R. Hamm, Verarbeitung von Sensordaten auf eingebetteten heterogenen FPGA-Systemen, Paderborn University, 2023.","mla":"Hamm, Robin. <i>Verarbeitung von Sensordaten auf eingebetteten heterogenen FPGA-Systemen</i>. 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Paderborn University; 2023."},"department":[{"_id":"78"}],"type":"bachelorsthesis","date_created":"2024-05-13T14:01:01Z","date_updated":"2024-05-15T13:29:49Z","author":[{"first_name":"Robin","last_name":"Hamm","full_name":"Hamm, Robin"}],"status":"public","year":"2023","title":"Verarbeitung von Sensordaten auf eingebetteten heterogenen FPGA-Systemen","user_id":"398","publisher":"Paderborn University","_id":"54246","language":[{"iso":"ger"}]},{"supervisor":[{"orcid":"0000-0003-3789-6034","last_name":"Clausing","first_name":"Lennart","full_name":"Clausing, Lennart","id":"74287"}],"citation":{"mla":"Klassen, Alexander. <i>Fast Partial Reconfiguration for ReconOS64 on Xilinx MPSoC Devices</i>. Paderborn University, 2023.","ama":"Klassen A. <i>Fast Partial Reconfiguration for ReconOS64 on Xilinx MPSoC Devices</i>. 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(2023). <i>Evaluation of Classifier Migration Between Multiple XCS Populations</i>. Paderborn University.","ieee":"M. Brede, <i>Evaluation of Classifier Migration Between Multiple XCS Populations</i>. Paderborn University, 2023.","short":"M. Brede, Evaluation of Classifier Migration Between Multiple XCS Populations, Paderborn University, 2023.","chicago":"Brede, Mathis. <i>Evaluation of Classifier Migration Between Multiple XCS Populations</i>. Paderborn University, 2023."},"department":[{"_id":"78"}],"type":"mastersthesis","date_created":"2024-05-15T13:26:17Z","date_updated":"2024-05-15T13:26:23Z","author":[{"last_name":"Brede","first_name":"Mathis","full_name":"Brede, Mathis"}],"status":"public","year":"2023","title":"Evaluation of Classifier Migration Between Multiple XCS Populations","user_id":"398","_id":"54299","language":[{"iso":"eng"}],"publisher":"Paderborn University"},{"citation":{"mla":"Nowosad, Alexander. <i>Design and Realization of an Intra-FPGA ROS 2 Communication Infrastructure for the ReconROS Executor</i>. Paderborn University, 2023.","ama":"Nowosad A. <i>Design and Realization of an Intra-FPGA ROS 2 Communication Infrastructure for the ReconROS Executor</i>. 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Nowosad, Design and Realization of an Intra-FPGA ROS 2 Communication Infrastructure for the ReconROS Executor, Paderborn University, 2023."},"type":"mastersthesis","department":[{"_id":"78"}],"date_created":"2024-05-15T13:27:19Z","date_updated":"2024-05-15T13:27:26Z","year":"2023","title":"Design and Realization of an Intra-FPGA ROS 2 Communication Infrastructure for the ReconROS Executor","status":"public","author":[{"full_name":"Nowosad, Alexander","last_name":"Nowosad","first_name":"Alexander"}],"user_id":"398","_id":"54300","language":[{"iso":"eng"}],"publisher":"Paderborn University"},{"_id":"54242","publisher":"Paderborn University","language":[{"iso":"ger"}],"user_id":"398","author":[{"full_name":"Evers, Gerrit","first_name":"Gerrit","last_name":"Evers"}],"status":"public","title":"Bewertung der Xilinx Runtime Library zur Hardware/Software-Kommunikation","year":"2023","date_updated":"2024-05-15T13:31:08Z","date_created":"2024-05-13T13:59:09Z","department":[{"_id":"78"}],"type":"bachelorsthesis","citation":{"bibtex":"@book{Evers_2023, title={Bewertung der Xilinx Runtime Library zur Hardware/Software-Kommunikation}, publisher={Paderborn University}, author={Evers, Gerrit}, year={2023} }","ama":"Evers G. <i>Bewertung der Xilinx Runtime Library zur Hardware/Software-Kommunikation</i>. Paderborn University; 2023.","mla":"Evers, Gerrit. <i>Bewertung der Xilinx Runtime Library zur Hardware/Software-Kommunikation</i>. Paderborn University, 2023.","chicago":"Evers, Gerrit. <i>Bewertung der Xilinx Runtime Library zur Hardware/Software-Kommunikation</i>. Paderborn University, 2023.","short":"G. Evers, Bewertung der Xilinx Runtime Library zur Hardware/Software-Kommunikation, Paderborn University, 2023.","ieee":"G. Evers, <i>Bewertung der Xilinx Runtime Library zur Hardware/Software-Kommunikation</i>. Paderborn University, 2023.","apa":"Evers, G. (2023). <i>Bewertung der Xilinx Runtime Library zur Hardware/Software-Kommunikation</i>. Paderborn University."},"supervisor":[{"id":"74287","orcid":"0000-0003-3789-6034","last_name":"Clausing","first_name":"Lennart","full_name":"Clausing, Lennart"},{"first_name":"Marco","last_name":"Platzner","full_name":"Platzner, Marco","id":"398"}]},{"citation":{"chicago":"Raeisi Nafchi, Masood. <i>Reconfigurable Random Forest Implementation on FPGA</i>. Paderborn University, 2023.","short":"M. Raeisi Nafchi, Reconfigurable Random Forest Implementation on FPGA, Paderborn University, 2023.","ieee":"M. Raeisi Nafchi, <i>Reconfigurable Random Forest Implementation on FPGA</i>. Paderborn University, 2023.","apa":"Raeisi Nafchi, M. (2023). <i>Reconfigurable Random Forest Implementation on FPGA</i>. Paderborn University.","bibtex":"@book{Raeisi Nafchi_2023, title={Reconfigurable Random Forest Implementation on FPGA}, publisher={Paderborn University}, author={Raeisi Nafchi, Masood}, year={2023} }","ama":"Raeisi Nafchi M. <i>Reconfigurable Random Forest Implementation on FPGA</i>. Paderborn University; 2023.","mla":"Raeisi Nafchi, Masood. <i>Reconfigurable Random Forest Implementation on FPGA</i>. Paderborn University, 2023."},"supervisor":[{"id":"74287","last_name":"Clausing","orcid":"0000-0003-3789-6034","first_name":"Lennart","full_name":"Clausing, Lennart"}],"date_created":"2023-07-18T08:55:14Z","type":"mastersthesis","department":[{"_id":"78"}],"year":"2023","status":"public","title":"Reconfigurable Random Forest Implementation on FPGA","author":[{"first_name":"Masood","last_name":"Raeisi Nafchi","full_name":"Raeisi Nafchi, Masood"}],"date_updated":"2024-05-15T13:32:14Z","publisher":"Paderborn University","_id":"46075","language":[{"iso":"eng"}],"user_id":"398"},{"status":"public","conference":{"end_date":"2023-09-22","location":"Turin","name":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases","start_date":"2023-09-18"},"has_accepted_license":"1","_id":"47421","publisher":"Springer Nature Switzerland","user_id":"11871","ddc":["000"],"file_date_updated":"2024-05-22T10:46:58Z","citation":{"mla":"Kouagou, N’Dah Jean, et al. “Neural Class Expression Synthesis in ALCHIQ(D).” <i>Machine Learning and Knowledge Discovery in Databases: Research Track</i>, Springer Nature Switzerland, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-43421-1_12\">10.1007/978-3-031-43421-1_12</a>.","ama":"Kouagou NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Neural Class Expression Synthesis in ALCHIQ(D). In: <i>Machine Learning and Knowledge Discovery in Databases: Research Track</i>. Springer Nature Switzerland; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-43421-1_12\">10.1007/978-3-031-43421-1_12</a>","bibtex":"@inbook{Kouagou_Heindorf_Demir_Ngonga Ngomo_2023, place={Cham}, title={Neural Class Expression Synthesis in ALCHIQ(D)}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-43421-1_12\">10.1007/978-3-031-43421-1_12</a>}, booktitle={Machine Learning and Knowledge Discovery in Databases: Research Track}, publisher={Springer Nature Switzerland}, author={Kouagou, N’Dah Jean and Heindorf, Stefan and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2023} }","apa":"Kouagou, N. J., Heindorf, S., Demir, C., &#38; Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis in ALCHIQ(D). In <i>Machine Learning and Knowledge Discovery in Databases: Research Track</i>. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Turin. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-43421-1_12\">https://doi.org/10.1007/978-3-031-43421-1_12</a>","ieee":"N. J. Kouagou, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis in ALCHIQ(D),” in <i>Machine Learning and Knowledge Discovery in Databases: Research Track</i>, Cham: Springer Nature Switzerland, 2023.","chicago":"Kouagou, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis in ALCHIQ(D).” In <i>Machine Learning and Knowledge Discovery in Databases: Research Track</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-43421-1_12\">https://doi.org/10.1007/978-3-031-43421-1_12</a>.","short":"N.J. Kouagou, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, Cham, 2023."},"place":"Cham","oa":"1","year":"2023","title":"Neural Class Expression Synthesis in ALCHIQ(D)","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031434204","9783031434211"]},"author":[{"id":"87189","full_name":"Kouagou, N'Dah Jean","last_name":"Kouagou","first_name":"N'Dah Jean"},{"full_name":"Heindorf, Stefan","orcid":"0000-0002-4525-6865","first_name":"Stefan","last_name":"Heindorf","id":"11871"},{"id":"43817","last_name":"Demir","first_name":"Caglar","full_name":"Demir, Caglar"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo"}],"publication_status":"published","date_updated":"2024-05-22T10:48:24Z","main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2023/ECML_NCES2/NCES2_public.pdf"}],"language":[{"iso":"eng"}],"doi":"10.1007/978-3-031-43421-1_12","publication":"Machine Learning and Knowledge Discovery in Databases: Research Track","abstract":[{"text":"Class expression learning in description logics has long been regarded as an iterative search problem in an infinite conceptual space. Each iteration of the search process invokes a reasoner and a heuristic function. The reasoner finds the instances of the current expression, and the heuristic function computes the information gain and decides on the next step to be taken. As the size of the background knowledge base grows, search-based approaches for class expression learning become prohibitively slow. Current neural class expression synthesis (NCES) approaches investigate the use of neural networks for class expression learning in the attributive language with complement (ALC). While they show significant improvements over search-based approaches in runtime and quality of the computed solutions, they rely on the availability of pretrained embeddings for the input knowledge base. Moreover, they are not applicable to ontologies in more expressive description logics. In this paper, we propose a novel NCES approach which extends the state of the art to the description logic ALCHIQ(D). Our extension, dubbed NCES2, comes with an improved training data generator and does not require pretrained embeddings for the input knowledge base as both the embedding model and the class expression synthesizer are trained jointly. Empirical results on benchmark datasets suggest that our approach inherits the scalability capability of current NCES instances with the additional advantage that it supports more complex learning problems. NCES2 achieves the highest performance overall when compared to search-based approaches and to its predecessor NCES. We provide our source code, datasets, and pretrained models at https://github.com/dice-group/NCES2.","lang":"eng"}],"file":[{"creator":"heindorf","date_created":"2024-05-22T10:45:08Z","file_size":432708,"access_level":"open_access","file_name":"NCES2_public.pdf","date_updated":"2024-05-22T10:46:58Z","relation":"main_file","content_type":"application/pdf","file_id":"54417"}],"date_created":"2023-09-25T13:42:01Z","type":"book_chapter","department":[{"_id":"760"},{"_id":"574"}]},{"publication":"arXiv:2301.05109","citation":{"chicago":"Sieger, Leonie Nora, Stefan Heindorf, Lukas Blübaum, and Axel-Cyrille Ngonga Ngomo. “Explaining ELH Concept Descriptions through Counterfactual Reasoning.” <i>ArXiv:2301.05109</i>, 2023.","short":"L.N. Sieger, S. Heindorf, L. Blübaum, A.-C. Ngonga Ngomo, ArXiv:2301.05109 (2023).","apa":"Sieger, L. N., Heindorf, S., Blübaum, L., &#38; Ngonga Ngomo, A.-C. (2023). Explaining ELH Concept Descriptions through Counterfactual Reasoning. In <i>arXiv:2301.05109</i>.","ieee":"L. N. Sieger, S. Heindorf, L. Blübaum, and A.-C. Ngonga Ngomo, “Explaining ELH Concept Descriptions through Counterfactual Reasoning,” <i>arXiv:2301.05109</i>. 2023.","ama":"Sieger LN, Heindorf S, Blübaum L, Ngonga Ngomo A-C. Explaining ELH Concept Descriptions through Counterfactual Reasoning. <i>arXiv:230105109</i>. Published online 2023.","bibtex":"@article{Sieger_Heindorf_Blübaum_Ngonga Ngomo_2023, title={Explaining ELH Concept Descriptions through Counterfactual Reasoning}, journal={arXiv:2301.05109}, author={Sieger, Leonie Nora and Heindorf, Stefan and Blübaum, Lukas and Ngonga Ngomo, Axel-Cyrille}, year={2023} }","mla":"Sieger, Leonie Nora, et al. “Explaining ELH Concept Descriptions through Counterfactual Reasoning.” <i>ArXiv:2301.05109</i>, 2023."},"abstract":[{"lang":"eng","text":"Knowledge bases are widely used for information management on the web,\r\nenabling high-impact applications such as web search, question answering, and\r\nnatural language processing. They also serve as the backbone for automatic\r\ndecision systems, e.g. for medical diagnostics and credit scoring. As\r\nstakeholders affected by these decisions would like to understand their\r\nsituation and verify fair decisions, a number of explanation approaches have\r\nbeen proposed using concepts in description logics. However, the learned\r\nconcepts can become long and difficult to fathom for non-experts, even when\r\nverbalized. Moreover, long concepts do not immediately provide a clear path of\r\naction to change one's situation. Counterfactuals answering the question \"How\r\nmust feature values be changed to obtain a different classification?\" have been\r\nproposed as short, human-friendly explanations for tabular data. In this paper,\r\nwe transfer the notion of counterfactuals to description logics and propose the\r\nfirst algorithm for generating counterfactual explanations in the description\r\nlogic $\\mathcal{ELH}$. Counterfactual candidates are generated from concepts\r\nand the candidates with fewest feature changes are selected as counterfactuals.\r\nIn case of multiple counterfactuals, we rank them according to the likeliness\r\nof their feature combinations. For evaluation, we conduct a user survey to\r\ninvestigate which of the generated counterfactual candidates are preferred for\r\nexplanation by participants. In a second study, we explore possible use cases\r\nfor counterfactual explanations."}],"external_id":{"arxiv":["2301.05109"]},"date_created":"2023-01-22T19:36:01Z","type":"preprint","oa":"1","department":[{"_id":"574"},{"_id":"760"}],"year":"2023","title":"Explaining ELH Concept Descriptions through Counterfactual Reasoning","status":"public","author":[{"full_name":"Sieger, Leonie Nora","first_name":"Leonie Nora","last_name":"Sieger","id":"93402"},{"full_name":"Heindorf, Stefan","first_name":"Stefan","orcid":"0000-0002-4525-6865","last_name":"Heindorf","id":"11871"},{"full_name":"Blübaum, Lukas","last_name":"Blübaum","first_name":"Lukas"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716"}],"date_updated":"2024-05-26T19:03:44Z","main_file_link":[{"url":"https://arxiv.org/pdf/2301.05109.pdf","open_access":"1"}],"language":[{"iso":"eng"}],"_id":"37937","user_id":"11871"},{"citation":{"short":"J. Lick, F. Schreckenberg, P. 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