| A bayesian deep learning framework for end-to-end prediction of emotion from heartbeat R Harper, J Southern IEEE transactions on affective computing 13 (2), 985-991, 2020 | 103 | 2020 |
| Physics-informed deep neural network for rigid-body protein docking F Sverrisson, J Feydy, J Southern, MM Bronstein, BE Correia MLDD 2022-Machine Learning for Drug Discovery Workshop of ICLR 2022, 2022 | 18 | 2022 |
| Curvature filtrations for graph generative model evaluation J Southern, J Wayland, M Bronstein, B Rieck Advances in Neural Information Processing Systems 36, 63036-63061, 2023 | 17 | 2023 |
| End-to-end prediction of emotion from heartbeat data collected by a consumer fitness tracker R Harper, J Southern 2019 8th international conference on affective computing and intelligent …, 2019 | 17 | 2019 |
| Deep learning to detect macular atrophy in wet age-related macular degeneration using optical coherence tomography W Wei, J Southern, K Zhu, Y Li, MF Cordeiro, K Veselkov Scientific Reports 13 (1), 8296, 2023 | 9 | 2023 |
| Deep sharpening of topological features for de novo protein design Z Harteveld, J Southern, M Defferrard, A Loukas, P Vandergheynst, ... ICLR2022 Machine Learning for Drug Discovery, 2022 | 7 | 2022 |
| Exploring “dark-matter” protein folds using deep learning Z Harteveld, A Van Hall-Beauvais, I Morozova, J Southern, C Goverde, ... Cell systems 15 (10), 898-910. e5, 2024 | 4 | 2024 |
| Understanding Virtual Nodes: Oversmoothing, Oversquashing, and Node Heterogeneity J Southern, F Di Giovanni, M Bronstein, JF Lutzeyer arXiv preprint arXiv:2405.13526, 2024 | 2 | 2024 |
| Dynamic user response data collection method R Harper, S De Vries, J Southern US Patent App. 17/791,520, 2023 | 2 | 2023 |
| Optimizing ingredient substitution using large language models to enhance phytochemical content in recipes L Rita, J Southern, I Laponogov, K Higgins, K Veselkov Machine Learning and Knowledge Extraction 6 (4), 2738-2752, 2024 | 1 | 2024 |
| Accurate single domain scaffolding of three non-overlapping protein epitopes using deep learning KM Castro, JL Watson, J Wang, J Southern, R Ayardulabi, S Georgeon, ... bioRxiv, 2024.05. 07.592871, 2024 | 1 | 2024 |
| Genomic-driven nutritional interventions for radiotherapy-resistant rectal cancer patient J Southern, G Gonzalez, P Borgas, L Poynter, I Laponogov, Y Zhong, ... Scientific Reports 13 (1), 14862, 2023 | 1 | 2023 |
| Evaluation Metrics for Protein Structure Generation J Southern, A Schneuing, MM Bronstein, B Correia ICML 2023 Workshop on Computational Biology, 2023 | 1* | 2023 |
| On the Expressive Power of Ollivier-Ricci Curvature on Graphs J Southern, J Wayland, MM Bronstein, B Rieck ICML 2023 Workshop on Topology, Algebra and Geometry, 2023 | 1 | 2023 |
| Mental state determination method and system J Southern, R Harper, S De Vries US Patent App. 17/426,208, 2022 | 1 | 2022 |
| Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality J Southern, Y Eitan, G Bar-Shalom, M Bronstein, H Maron, F Frasca arXiv preprint arXiv:2501.03113, 2025 | | 2025 |
| The Helicobacter pylori AI-Clinician: Harnessing Artificial Intelligence to Personalize H. pylori Treatment Recommendations K Higgins, OP Nyssen, J Southern, I Laponogov, A CONSORTIUM, ... arXiv preprint arXiv:2412.06841, 2024 | | 2024 |
| IDENTIFYING NUTRITIONAL AND PHARMACOLOGICAL TARGETS FOR ALLEVIATING POLYCYSTIC OVARY SYNDROME USING GENOMIC-DRIVEN MACHINE LEARNING S Hanassab, J Southern, AV Olabode, T Heinis, A Abbara, ... Fertility and Sterility 122 (4), e414, 2024 | | 2024 |
| Leveraging genomic-based machine learning to discover bioactive molecules that alleviate symptoms of polycystic ovary syndrome A Olabode, S Hanassab, J Southern, C Izzi-Engbeaya, T Heinis, A Abbara, ... Endocrine Abstracts 104, 2024 | | 2024 |
| Accurate single domain scaffolding of three non-overlapping protein epitopes using deep learning B Correia, K Castro, J Watson, J Wang, J Southern, R Ayardulabi, ... | | 2024 |
Ross HarperUniversity College LondonVerified email at ucl.ac.uk