| LEKG: a system for constructing knowledge graphs from log extraction F Wang, A Bundy, X Li, R Zhu, K Nuamah, L Xu, S Mauceri, JZ Pan Proceedings of the 10th International Joint Conference on Knowledge Graphs …, 2021 | 12 | 2021 |
| Automated reasoning in the age of the internet A Bundy, K Nuamah, C Lucas Artificial Intelligence and Symbolic Computation: 13th International …, 2018 | 12 | 2018 |
| Functional inferences over heterogeneous data K Nuamah, A Bundy, C Lucas Web Reasoning and Rule Systems: 10th International Conference, RR 2016 …, 2016 | 11 | 2016 |
| Deep algorithmic question answering: Towards a compositionally hybrid ai for algorithmic reasoning K Nuamah arXiv preprint arXiv:2109.08006, 2021 | 9 | 2021 |
| Explainable Inference in the FRANK Query Answering System K Nuamah, A Bundy | 7 | 2020 |
| Functional inferences over heterogeneous data KA Nuamah The University of Edinburgh, 2018 | 7 | 2018 |
| Calculating error bars on inferences from web data K Nuamah, A Bundy Intelligent Systems and Applications: Proceedings of the 2018 Intelligent …, 2019 | 6 | 2019 |
| GPy-ABCD: A configurable automatic Bayesian covariance discovery implementation T Fletcher, A Bundy, K Nuamah 8th ICML Workshop on Automated Machine Learning: Collocated with the Thirty …, 2021 | 4 | 2021 |
| A closer look at probability calibration of knowledge graph embedding R Zhu, F Wang, A Bundy, X Li, K Nuamah, L Xu, S Mauceri, JZ Pan Proceedings of the 11th International Joint Conference on Knowledge Graphs …, 2022 | 3 | 2022 |
| TREAT: automated construction and maintenance of probabilistic knowledge bases from logs R Zhu, X Li, F Wang, A Bundy, JZ Pan, K Nuamah, S Mauceri, L Xu International Conference on Machine Learning, Optimization, and Data Science …, 2022 | 2 | 2022 |
| Investigating the use of paraphrase generation for question reformulation in the frank qa system N Ferguson, L Guillou, K Nuamah, A Bundy arXiv preprint arXiv:2206.02737, 2022 | 2 | 2022 |
| Combining deductive and statistical explanations in the FRANK query answering system A Bundy, K Nuamah 2021 IEEE International Conference on Big Knowledge (ICBK), 1-6, 2021 | 2 | 2021 |
| A context mechanism for an inference-based question answering system K Nuamah, A Bundy, Y Jia AAAI2021 Workshop on CSKGs 8, 2021 | 2 | 2021 |
| Unified Decomposition-Aggregation (UDA) Rules: Dynamic, Schematic, Novel Axioms A Bundy, K Nuamah International Conference on Intelligent Computer Mathematics, 209-221, 2022 | 1 | 2022 |
| Statistics automation in a query-answering system T Fletcher, A Bundy, K Nuamah | 1 | 2022 |
| Biased-Incremental Clustering: A Flexible Knowledge Extraction Algorithm KA Nuamah, L Fu International Journal of Computer and Communication Engineering 1 (1), 8, 2012 | 1 | 2012 |
| Assessing the Quality of a Knowledge Graph via Link Prediction Tasks R Zhu, A Bundy, J Pan, K Nuamah, F Wang, X Li, L Xu, S Mauceri Proceedings of the 2023 7th International Conference on Natural Language …, 2023 | | 2023 |
| ALIST: Associative Logic for Inference, Storage and Transfer. A Lingua Franca for Inference on the Web K Nuamah, A Bundy arXiv preprint arXiv:2303.06691, 2023 | | 2023 |
| Integrating Paraphrasing into the FRANK QA System N Ferguson, L Guillou, K Nuamah, A Bundy The 3rd International Workshop on Human-Like Computing 2022, 29-34, 2022 | | 2022 |
| Question Answering Using Semantic Web Technologies K Nuamah | | 2016 |
