| Detect, understand, act: A neuro-symbolic hierarchical reinforcement learning framework L Mitchener, D Tuckey, M Crosby, A Russo Machine Learning 111 (4), 1523-1549, 2022 | 16 | 2022 |
| PASOCS: a parallel approximate solver for probabilistic logic programs under the credal semantics D Tuckey, A Russo, K Broda arXiv preprint arXiv:2105.10908, 2021 | 6 | 2021 |
| FastRAT: Fast and Efficient Cross-lingual Text-to-SQL Semantic Parsing P Vougiouklis, N Papasarantopoulos, D Zheng, D Tuckey, C Diao, Z Shen, ... Proceedings of the 13th International Joint Conference on Natural Language …, 2023 | 3 | 2023 |
| Towards Structure Learning under the Credal Semantics D Tuckey, K Broda, A Russo ICLP20WS 2020, 2020 | 3 | 2020 |
| Saliency Maps Generation for Automatic Text Summarization D Tuckey, K Broda, A Russo arXiv preprint arXiv:1907.05664, 2019 | 2 | 2019 |
| A general framework for scientifically inspired explanations in AI D Tuckey, A Russo, K Broda arXiv preprint arXiv:2003.00749, 2020 | 1 | 2020 |
| Consistency Based Unsupervised Self-Training for ASR Personalisation J Zhang, V Rajan, H Mehmood, D Tuckey, PP Parada, MA Jalal, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | | 2023 |
| Tunable Quantum Neural Networks in the QPAC-Learning Framework VP Ngoc, D Tuckey, H Wiklicky arXiv preprint arXiv:2205.01514, 2022 | | 2022 |
| A Semantics For Probabilistic Answer Set Programs With Incomplete Stochastic Knowledge. D Tuckey, K Broda, A Russo ICLP Workshops, 2022 | | 2022 |
