| Logical neural networks R Riegel, A Gray, F Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ... arXiv preprint arXiv:2006.13155, 2020 | 179 | 2020 |
| Leveraging Abstract Meaning Representation for Knowledge Base Question Answering P Kapanipathi, I Abdelaziz, S Ravishankar, S Roukos, A Gray, R Astudillo, ... Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 | 131* | 2021 |
| Knowledge transfer for learning robot models via local procrustes analysis N Makondo, B Rosman, O Hasegawa 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015 | 31 | 2015 |
| Logic embeddings for complex query answering F Luus, P Sen, P Kapanipathi, R Riegel, N Makondo, T Lebese, A Gray arXiv preprint arXiv:2103.00418, 2021 | 26 | 2021 |
| Learning to guide a saturation-based theorem prover I Abdelaziz, M Crouse, B Makni, V Austel, C Cornelio, S Ikbal, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 738-751, 2022 | 15 | 2022 |
| Accelerating Model Learning with Inter-robot Knowledge Transfer N Makondo, B Rosman, O Hasegawa IEEE International Conference on Robotics and Automation (ICRA), 2018 | 15 | 2018 |
| Trajectory Learning from Human Demonstrations via Manifold Mapping M Hiratsuka, N Makondo, B Rosman, O Hasegawa IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 | 11 | 2016 |
| Application of machine learning techniques in forecasting groundwater levels in the grootfontein aquifer Y Kanyama, R Ajoodha, H Seyler, N Makondo, H Tutu 2020 2nd International Multidisciplinary Information Technology and …, 2020 | 10 | 2020 |
| A Non-linear Manifold Alignment Approach to Robot Learning from Demonstrations N Makondo, M Hiratsuka, B Rosman, O Hasegawa Journal of Robotics and Mechatronics 30 (2), 265-281, 2018 | 9 | 2018 |
| Geometric technique for the kinematic modeling of a 5 DOF redundant manipulator N Makondo, J Claassens, N Tlale, M Braae 2012 5th Robotics and Mechatronics Conference of South Africa, 1-7, 2012 | 8 | 2012 |
| First-order logical neural networks with bidirectional inference RN Riegel, FP Luus, IY Akhalwaya, NA Khan, N Makondo, F Barahona, ... US Patent App. 17/063,899, 2021 | 6 | 2021 |
| Modeling and control of a robot manipulator N Makondo | 4 | 2013 |
| Proof Extraction for Logical Neural Networks T Lebese, N Makondo, C Cornelio, N Khan NeurIPS 2021 workshop on Advances in Programming Languages and Neurosymbolic …, 2021 | 3 | 2021 |
| Knowledge Transfer using Model-Based Deep Reinforcement Learning T Boloka, N Makondo, B Rosman IEEE 2021 Southern African Universities Power Engineering Conference …, 2021 | 3 | 2021 |
| Generation of representative data to preserve membership privacy FP Luus, NA Khan, N Makondo, EE Vos, IY Akhalwaya US Patent 11,803,657, 2023 | 2 | 2023 |
| An ensemble approach for automated theorem proving based on efficient name invariant graph neural representations A Fokoue, I Abdelaziz, M Crouse, S Ikbal, A Kishimoto, G Lima, ... 2023 International Joint Conference on Artificial Intelligence (IJCAI-23), 2023 | 2 | 2023 |
| Generative ontology learning and natural language processing with predictive language models FP Luus, EE Vos, N Makondo, NA Khan, IY Akhalwaya US Patent 11,934,441, 2024 | 1 | 2024 |
| An Analysis of Reinforcement Learning for Malaria Control N Makondo, AL Folarin, SN Zitha, SL Remy arXiv preprint arXiv:2107.08988, 2021 | 1 | 2021 |
| Towards improving incremental learning of manipulator kinematics with inter-robot knowledge transfer N Makondo, B Rosman IEEE 2019 Southern African Universities Power Engineering Conference …, 2019 | 1 | 2019 |
| Accelerating robot learning of motor skills with knowledge transfer N Makondo Tokyo Institute of Technology, 2018 | 1 | 2018 |
Naweed KhanIBM Research在 ibm.com 的电子邮件经过验证
