| Neural-symbolic learning and reasoning: A survey and interpretation AA Garcez, S Bader, H Bowman, LC Lamb, L de Penning, BV Illuminoo, ... Neuro-Symbolic Artificial Intelligence: The State of the Art 342, 1, 2022 | 172 | 2022 |
| Dimensions of neural-symbolic integration-a structured survey S Bader, P Hitzler arXiv preprint cs/0511042, 2005 | 113 | 2005 |
| Connectionist model generation: A first-order approach S Bader, P Hitzler, S Hölldobler Neurocomputing 71 (13-15), 2420-2432, 2008 | 55 | 2008 |
| Reference Architecture Model. Version 3.0 B Otto, S Steinbuß, A Teuscher, S Lohmann, S Bader, P Birnstil, ... International Data Spaces Association, 2019 | 51 | 2019 |
| A Fully Connectionist Model Generator for Covered First-Order Logic Programs. S Bader, P Hitzler, S Hölldobler, A Witzel IJCAI, 666-671, 2007 | 42 | 2007 |
| Tracking Assembly Processes and Providing Assistance in Smart Factories. S Bader, M Aehnelt ICAART (1), 161-168, 2014 | 38 | 2014 |
| Structuring reference architectures for the industrial internet of things SR Bader, M Maleshkova, S Lohmann Future Internet 11 (7), 151, 2019 | 35 | 2019 |
| Extracting reduced logic programs from artificial neural networks J Lehmann, S Bader, P Hitzler Applied intelligence 32 (3), 249-266, 2010 | 35 | 2010 |
| Providing and Adapting Information Assistance for Smart Assembly Stations M Aehnelt, S Bader Proceedings of SAI Intelligent Systems Conference, 540-562, 2016 | 33 | 2016 |
| The integration of connectionism and first-order knowledge representation and reasoning as a challenge for artificial intelligence S Bader, P Hitzler, S Hölldobler arXiv preprint cs/0408069, 2004 | 28 | 2004 |
| A knowledge graph for industry 4.0 SR Bader, I Grangel-Gonzalez, P Nanjappa, ME Vidal, M Maleshkova European Semantic Web Conference, 465-480, 2020 | 27 | 2020 |
| Logic programs, iterated function systems, and recurrent radial basis function networks S Bader, P Hitzler Journal of Applied Logic 2 (3), 273-300, 2004 | 27 | 2004 |
| Computing First-Order Logic Programs by Fibring Artificial Neural Networks. S Bader, ASA Garcez, P Hitzler FLAIRS Conference, 314-319, 2005 | 24 | 2005 |
| Multidimensional assessment of challenging behaviors in advanced stages of dementia in nursing homes—The insideDEM framework S Teipel, C Heine, A Hein, F Krüger, A Kutschke, S Kernebeck, M Halek, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 8, 36-44, 2017 | 22 | 2017 |
| Integrating first-order logic programs and connectionist systems-a constructive approach S Bader, A Witzel, P Hitzler Proceedings of the IJCAI-05 Workshop on Neural-Symbolic Learning and Reasoning, 2005 | 22 | 2005 |
| The International Data Spaces Information Model–An Ontology for Sovereign Exchange of Digital Content S Bader, J Pullmann, C Mader, S Tramp, C Quix, AW Müller, H Akyürek, ... International Semantic Web Conference, 176-192, 2020 | 18 | 2020 |
| The core method: Connectionist model generation S Bader, S Hölldobler International Conference on Artificial Neural Networks, 1-13, 2006 | 18 | 2006 |
| The semantic asset administration shell SR Bader, M Maleshkova International Conference on Semantic Systems, 159-174, 2019 | 17 | 2019 |
| Tool support for the online annotation of sensor data M Schröder, K Yordanova, S Bader, T Kirste Proceedings of the 3rd International Workshop on Sensor-based Activity …, 2016 | 17 | 2016 |
| Automated sensor-based detection of challenging behaviors in advanced stages of dementia in nursing homes D Goerss, A Hein, S Bader, M Halek, S Kernebeck, A Kutschke, C Heine, ... Alzheimer's & Dementia, 2019 | 15 | 2019 |
Pascal HitzlerLloyd T. Smith Creativity in Engineering Chair, Kansas State University, Manhattan, KansasGeverifieerd e-mailadres voor ksu.edu
