| Wireless sensor network for AI-based flood disaster detection J Al Qundus, K Dabbour, S Gupta, R Meissonier, A Paschke Annals of Operations Research, 1-23, 2022 | 65 | 2022 |
| QURATOR: innovative technologies for content and data curation G Rehm, P Bourgonje, S Hegele, F Kintzel, JM Schneider, M Ostendorff, ... arXiv preprint arXiv:2004.12195, 2020 | 33 | 2020 |
| Exploring the impact of short-text complexity and structure on its quality in social media J Al Qundus, A Paschke, S Gupta, AM Alzouby, M Yousef Journal of Enterprise Information Management 33 (6), 1443-1466, 2020 | 27 | 2020 |
| Calculating trust in domain analysis: Theoretical trust model J Al Qundus, A Paschke, S Kumar, S Gupta International Journal of Information Management 48, 1-11, 2019 | 16 | 2019 |
| AI supported topic modeling using KNIME-workflows JA Qundus, S Peikert, A Paschke arXiv preprint arXiv:2104.09428, 2021 | 14 | 2021 |
| Investigating the effect of attributes on user trust in social media JA Qundus, A Paschke Database and Expert Systems Applications: DEXA 2018 International Workshops …, 2018 | 14 | 2018 |
| Roc: An ontology for country responses towards COVID-19 JA Qundus, R Schäfermeier, N Karam, S Peikert, A Paschke arXiv preprint arXiv:2104.07345, 2021 | 11 | 2021 |
| Generating trust in collaborative annotation environments JA Qundus Proceedings of the 12th international symposium on open collaboration …, 2016 | 6 | 2016 |
| TopicsRanksDC: distance-based topic ranking applied on two-class data M Yousef, JA Qundus, S Peikert, A Paschke Database and Expert Systems Applications: DEXA 2020 International Workshops …, 2020 | 5 | 2020 |
| Technical analysis of the social media platform genius J Al Qundus Freie Universität Berlin, Tech. Rep, 2018 | 5 | 2018 |
| Objective functions to determine the number of topics for topic modeling S Peikert, C Kubach, J Al Qundus, LD Sandra Vu, A Paschke The 23rd International Conference on Information Integration and Web …, 2021 | 4 | 2021 |
| Prescriptive analytics-based SIRM model for predicting Covid-19 outbreak J Al Qundus, S Gupta, H Abusaimeh, S Peikert, A Paschke Global Journal of Flexible Systems Management 24 (2), 235-246, 2023 | 2 | 2023 |
| Ontology-based entity recognition and annotation T Hoppe12, J Al Qundus, S Peikert | 2 | 2020 |
| Generating Trust in Collaborative Environments: Evaluating Design Parameters in Area of Semantic Annotations J Al Qundus | 2 | 2019 |
| Extracting References from German Legal Texts ing Named Entity Recognition1 S Peikert, C Birle, J Al Qundus, VU Le Duyen Sandra, A Paschke | 1 | 2022 |
| Generating trust in collaborative environments J Al Qundus PQDT-Global, 2019 | 1 | 2019 |
| Prediction of stock prices with automated reinforced learning algorithms S Yasin, A Paschke, J Al Qundus Authorea Preprints, 2023 | | 2023 |
| A Machine Learning Approach for Diagnosing and Identifying Symptoms of COVID-19 A BaniMustafa, O Bulkrock, J Al Qundus 2022 International Conference on Emerging Trends in Computing and …, 2022 | | 2022 |
| CISQA: Corporate Smart Insights Question Answering System LDS Vu, JA Qundus, J Jung, S Peikert, A Paschke International Conference on Information Integration and Web, 463-475, 2022 | | 2022 |
| TopicsRanksDC: Distance-based Topic Ranking applied on Two-Class Data M Yousef, JA Qundus, S Peikert, A Paschke arXiv preprint arXiv:2105.07826, 2021 | | 2021 |
Adrian PaschkeProfessor, Computer Science, Freie Universitaet Berlinبريد إلكتروني تم التحقق منه على inf.fu-berlin.de
