Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge MY Jaradeh, A Oelen, KE Farfar, M Prinz, J D'Souza, G Kismihók, ... Proceedings of the 10th International Conference on Knowledge Capture, 243-246, 2019 | 263 | 2019 |
Improving Access to Scientific Literature with Knowledge Graphs S Auer, A Oelen, M Haris, M Stocker, J D’Souza, KE Farfar, L Vogt, ... Bibliothek Forschung und Praxis 44 (3), 516-529, 2020 | 123 | 2020 |
FAIR scientific information with the Open Research Knowledge Graph M Stocker, A Oelen, MY Jaradeh, M Haris, OA Oghli, G Heidari, H Hussein, ... FAIR Connect 1 (1), 19-21, 2023 | 40 | 2023 |
A two-stage short-term load forecasting approach using temperature daily profiles estimation KE Farfar, MT Khadir Neural Computing and Applications 31 (8), 3909-3919, 2019 | 34 | 2019 |
Comparing research contributions in a scholarly knowledge graph A Oelen, MY Jaradeh, KE Farfar, M Stocker, S Auer CEUR workshop proceedings; 2526 2526, 21-26, 2019 | 32 | 2019 |
Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG FJ Ekaputra, M Llugiqi, M Sabou, A Ekelhart, H Paulheim, A Breit, ... European Semantic Web Conference, 372-389, 2023 | 12 | 2023 |
Federating scholarly infrastructures with GraphQL M Haris, KE Farfar, M Stocker, S Auer International Conference on Asian Digital Libraries, 308-324, 2021 | 7 | 2021 |
Increasing Reproducibility in Science by Interlinking Semantic Artifact Descriptions in a Knowledge Graph H Hussein, KE Farfar, A Oelen, O Karras, S Auer International Conference on Asian Digital Libraries, 220-229, 2023 | 6 | 2023 |
Fair scientific information with the open research knowledge graph. FAIR Connect 1 (1), 19–21 (2023) M Stocker, A Oelen, MY Jaradeh, M Haris, OA Oghli, G Heidari, H Hussein, ... | 5 | |
PREVOS-DZ: A Short-Mid Term Algerian Electric Load Forecasting Software MT Khadir, N Farah, K Farfar, N Bendaoud, A Ameyoud, N Tenzer 2019 Algerian Large Electrical Network Conference (CAGRE), 1-6, 2019 | 4 | 2019 |
Comparison of serial and parallel approaches using artificial neural networks for Algerian short-term load forecasting KE Farfar, MT Khadir, O Laib International Conference on Advances in Computing, Electronics and …, 2015 | 3 | 2015 |
Rethinking the production and publication of machine-reusable expressions of research findings M Stocker, L Snyder, M Anfuso, O Ludwig, F Thießen, KE Farfar, M Haris, ... arXiv preprint arXiv:2405.13129, 2024 | 2 | 2024 |
Rosetta Statements: Lowering the Barrier for Semantic Parsing and Increasing the Cognitive Interoperability of Knowledge Graphs L Vogt, M Konrad, KE Farfar, M Prinz, A Oelen arXiv preprint arXiv:2407.20007, 2024 | | 2024 |
Day Types Identification of Algerian Electricity Load Using an Image Based Two-Stage Approach KE Farfar, MT Khadir Artificial Neural Networks and Machine Learning–ICANN 2016: 25th …, 2016 | | 2016 |