| A data-mining technique for the planning and organization of truck platoons P Meisen, T Seidl, K Henning Proceedings of the International Conference on Heavy Vehicles, 19-22, 2008 | 64 | 2008 |
| Using off-the-shelf medical devices for biomedical signal monitoring in a telemedicine system for emergency medical services S Thelen, M Czaplik, P Meisen, D Schilberg, S Jeschke IEEE journal of biomedical and health informatics 19 (1), 117-123, 2014 | 44 | 2014 |
| A generic software architecture for a driver information system to organize and operate truck platoons A Friedrichs, P Meisen, K Henning Vortragsveroeffentlichung, International Conference on Heavy Vehicles (HHVT …, 2008 | 26 | 2008 |
| EMuRgency–a basic concept for an AI driven volunteer notification system for integrating laypersons into emergency medical services J Elsner, P Meisen, S Thelen, D Schilberg, S Jeschke Int J Adv Life Sci 5 (3), 223-36, 2013 | 17 | 2013 |
| Adaptive information integration: Bridging the semantic gap between numerical simulations T Meisen, P Meisen, D Schilberg, S Jeschke Enterprise Information Systems: 13th International Conference, ICEIS 2011 …, 2012 | 17 | 2012 |
| Application integration of simulation tools considering domain specific knowledge T Meisen, P Meisen, D Schilberg, S Jeschke International Conference on Enterprise Information Systems 2, 42-53, 2011 | 14 | 2011 |
| Modeling and Processing of Time Interval Data for Data-Driven Decision Support P Meisen, T Meisen, M Recchioni, D Schilberg, S Jeschke IEEE International Conference on Systems, Man, and Cybernetics (SMC2014), 2014 | 12 | 2014 |
| Will this online shopping session succeed? predicting customer's purchase intention using embeddings M Alves Gomes, R Meyes, P Meisen, T Meisen Proceedings of the 31st ACM international conference on information …, 2022 | 10 | 2022 |
| AUDIME: Augmented disaster medicine A Paulus, P Meisen, T Meisen, S Jeschke, M Czaplik, F Hirsch 2015 17th International Conference on E-health Networking, Application …, 2015 | 9 | 2015 |
| TIDAQL: a query language enabling on-line analytical processing of time interval data P Meisen, D Keng, T Meisen, M Recchioni, S Jeschke Engineering Education 4.0: Excellent Teaching and Learning in Engineering …, 2016 | 8 | 2016 |
| Bitmap-based on-line analytical processing of time interval data P Meisen, D Keng, T Meisen, M Recchioni, S Jeschke 2015 12th International Conference on Information Technology-New Generations …, 2015 | 8 | 2015 |
| Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application. H Tercan, C Bitter, T Bodnar, P Meisen, T Meisen ICEIS (1), 610-617, 2021 | 6 | 2021 |
| Part of speech annotation of intermediate versions in the keystroke logged translation corpus T Serbina, P Niemietz, M Fricke, P Meisen, S Neumann Proceedings of the 9th linguistic annotation workshop, 102-111, 2015 | 6 | 2015 |
| Prescient profiling–AI driven volunteer selection within a volunteer notification system J Elsner, P Meisen, D Ewert, D Schilberg, S Jeschke Automation, Communication and Cybernetics in Science and Engineering 2013 …, 2014 | 6 | 2014 |
| Analyzing time interval data: introducing an information system for time interval data analysis P Meisen Springer, 2016 | 5 | 2016 |
| Similarity search of bounded tidasets within large time interval databases P Meisen, D Keng, T Meisen, M Recchioni, S Jeschke 2015 International Conference on Computational Science and Computational …, 2015 | 5 | 2015 |
| A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter MA Gomes, H Tercan, T Bodnar, P Meisen, T Meisen 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th …, 2021 | 3 | 2021 |
| TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior M Alves Gomes, M Wönkhaus, P Meisen, T Meisen Journal of Theoretical and Applied Electronic Commerce Research 18 (3), 1404 …, 2023 | 2 | 2023 |
| A filter is better than none: improving deep learning-based product recommendation models by using a user preference filter M Alves Gomes, H Tercan, T Bodnar, P Meisen, T Meisen 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf …, 2021 | 2 | 2021 |
| TIDAMODEL: Modeling Time Interval Data P Meisen, P Meisen Analyzing Time Interval Data: Introducing an Information System for Time …, 2016 | 2 | 2016 |
Sabina JeschkeProfessor and Head of the IMA/ZLW & IfU, Faculty for Mechanical Engineering, RWTH Aachen University在 ima-zlw-ifu.rwth-aachen.de 的电子邮件经过验证
