| Comparing recurrent and convolutional neural networks for predicting wave propagation S Fotiadis, E Pignatelli, ML Valencia, C Cantwell, A Storkey, AA Bharath arXiv preprint arXiv:2002.08981, 2020 | 43 | 2020 |
| Machine learning to support visual auditing of home-based lateral flow immunoassay self-test results for SARS-CoV-2 antibodies N Wong, S Meshkinfamfard, V Turbé, M Whitaker, M Moshe, ... Nature Research, 2022 | 20 | 2022 |
| Simulating surface wave dynamics with convolutional networks M Lino, C Cantwell, S Fotiadis, E Pignatelli, A Bharath arXiv preprint arXiv:2012.00718, 2020 | 19 | 2020 |
| Specialised algorithms for different project stages in a post-formed timber gridshell design S Pone, G Mirra, E Pignatelli, D Lancia, S Colabella Proceedings of the 3rd International Conference on Structures and …, 2016 | 11 | 2016 |
| Computational morphogenesis and construction of an acoustic shell for outdoor chamber music E Pignatelli, G Mirra, G Lucci Proceedings of IASS Annual Symposia 2016 (17), 1-10, 2016 | 10* | 2016 |
| A wooden acoustic shell for open-air chamber music concert E Pignatelli, S Colabella, SD Rosario, S Pone Proceedings of IASS Annual Symposia 2015 (25), 1-12, 2015 | 8 | 2015 |
| Comparing recurrent and convolutional neural networks for predicting wave propagation. arXiv S Fotiadis, E Pignatelli, ML Valencia, C Cantwell, A Storkey, AA Bharath arXiv preprint arXiv:2002.08981, 2020 | 6 | 2020 |
| A survey of temporal credit assignment in deep reinforcement learning E Pignatelli, J Ferret, M Geist, T Mesnard, H van Hasselt, L Toni arXiv preprint arXiv:2312.01072, 2023 | 4 | 2023 |
| An automated design methodology for acoustic shells in outdoor concerts G Mirra, E Pignatelli, S Di Rosario | 4 | 2018 |
| Res, resonant string shell, development and design of an acoustic shell for outdoor chamber music concerts. S Di Rosario, B Parenti, E Pignatelli, G Mirra, S Pone AUDITORIUM ACOUSTICS, 354-373, 2015 | 3 | 2015 |
| Estimation of fibre architecture and scar in myocardial tissue using electrograms: an in-silico study K Ntagiantas, E Pignatelli, NS Peters, CD Cantwell, RA Chowdhury, ... Biomedical Signal Processing and Control 89, 105746, 2024 | 2 | 2024 |
| Simulating Surface Wave Dynamics with Convolutional Networks. ML Valencia, CD Cantwell, S Fotiadis, E Pignatelli, AA Bharath arXiv, 2020 | 2 | 2020 |
| InFormer: designing forming actions in post-formed gridshells by means of MOGAs E Pignatelli, G Mirra, S Pone Proceedings of IASS Annual Symposia 2017 (17), 1-10, 2017 | 1 | 2017 |
| Estimating Cardiac Tissue Conductivity from Electrograms with Fully Convolutional Networks. K Ntagiantas, E Pignatelli, NS Peters, CD Cantwell, RA Chowdhury, ... CoRR, 2022 | | 2022 |
| Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL E Pignatelli, J Ferret, D Paglieri, S Coward, T Rocktäschel, E Grefenstette, ... Automated Reinforcement Learning: Exploring Meta-Learning, AutoML, and LLMs, 0 | | |
| Does behavioral diversity in intrinsic rewards help exploration? A Kayal, E Pignatelli, L Toni Second Agent Learning in Open-Endedness Workshop, 0 | | |
| Fully Convolutional Approach for Simulating Wave Dynamics ML Valencia, CD Cantwell, E Pignatelli, S Fotiadis, AA Bharath | | |
Anil Anthony BharathDept of Bioengineering, Imperial College在 imperial.ac.uk 的电子邮件经过验证
