| Unsupervised cipher cracking using discrete gans AN Gomez, S Huang, I Zhang, BM Li, M Osama, L Kaiser International Conference on Learning Representations (ICLR), 2018 | 84 | 2018 |
| Exploring digital biomarkers of illness activity in mood episodes: hypotheses generating and model development study. G Anmella, F Corponi, BM Li, A Mas, M Sanabra, I Pacchiarotti, M Valentí, ... JMIR mHealth and uHealth, 2023 | 18 | 2023 |
| Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols BM Li, LV Castorina, MC Valdés Hernández, U Clancy, SJ Wiseman, ... Frontiers in Computational Neuroscience 16, 887633, 2022 | 10 | 2022 |
| Automated mood disorder symptoms monitoring from multivariate time-series sensory data: Getting the full picture beyond a single number F Corponi, BM Li, G Anmella, A Mas, I Pacchiarotti, M Valentí, I Grande, ... Nature Translational Psychiatry 14 (1), 161, 2024 | 9 | 2024 |
| Synthesising Realistic Calcium Traces of Neuronal Populations Using GAN BM Li, T Amvrosiadis, N Rochefort, A Onken arXiv preprint arXiv:2009.02707, 2020 | 9* | 2020 |
| V1T: large-scale mouse V1 response prediction using a Vision Transformer BM Li, IM Cornacchia, NL Rochefort, A Onken Transactions on Machine Learning Research, 2023 | 7 | 2023 |
| Electrodermal activity in bipolar disorder: Differences between mood episodes and clinical remission using a wearable device in a real-world clinical setting G Anmella, A Mas, M Sanabra, C Valenzuela-Pascual, M Valentí, ... Journal of Affective Disorders 345, 43-50, 2024 | 5 | 2024 |
| Inferring mood disorder symptoms from multivariate time-series sensory data BM Li, F Corponi, G Anmella, A Mas, M Sanabra, D Hidalgo-Mazzei, ... NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022 | 5 | 2022 |
| Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos P Turishcheva, PG Fahey, M Vystrčilová, L Hansel, R Froebe, K Ponder, ... Neural Information Processing Systems Datasets and Benchmarks Track, 2024 | 3 | 2024 |
| Metrics for quality control of results from super-resolution machine-learning algorithms – Data extracted from publications in the period 2017- May 2021 LV Castorina, BM Li, A Storkey, MV Hernández University of Edinburgh. Centre for Clinical Brain Sciences and School of …, 2021 | 3 | 2021 |
| Can machine learning with data from wearable devices distinguish disease severity levels and generalise across patients? a pilot study in mania and depression BM Li, F Corponi, G Anmella, A Mas, M Sanabra, I Pacchiarotti, M Valentí, ... medRxiv, 2022.05. 19.22274670, 2022 | 2 | 2022 |
| Neuronal learning analysis using cycle-consistent adversarial networks BM Li, T Amvrosiadis, N Rochefort, A Onken arXiv preprint arXiv:2111.13073, 2021 | 2 | 2021 |
| Identifying digital biomarkers of illness activity and treatment response in bipolar disorder with a novel wearable device (TIMEBASE): Protocol for a pragmatic observational … G Anmella, F Corponi, BM Li, A Mas, M Garriga, M Sanabra, I Pacchiarotti, ... BJPsych Open 10 (5), e137, 2024 | 1 | 2024 |
| Sleep-wake variations of electrodermal activity in bipolar disorder C Valenzuela-Pascual, A Mas, R Borràs, G Anmella, M Sanabra, ... Acta psychiatrica Scandinavica, 2024 | 1 | 2024 |
| A Bayesian analysis of heart rate variability changes over acute episodes of bipolar disorder F Corponi, BM Li, G Anmella, C Valenzuela-Pascual, I Pacchiarotti, ... npj Mental Health Research 3 (1), 44, 2024 | | 2024 |
| Wearable Data From Subjects Playing Super Mario, Taking University Exams, or Performing Physical Exercise Help Detect Acute Mood Disorder Episodes via Self-Supervised Learning … F Corponi, BM Li, G Anmella, C Valenzuela-Pascual, A Mas, I Pacchiarotti, ... JMIR mHealth and uHealth 12, e55094, 2024 | | 2024 |
| Exploring electrodermal activity differences during acute episodes of bipolar disorder with wearable devices A Mas, M Sanabra, G Anmella, F Corponi, B Li, M Valentí, A Benabarre, ... Neuroscience Applied 2, 103763, 2023 | | 2023 |
| The TIMEBASE Study: IdenTifying dIgital bioMarkers of illnEss activity in BipolAr diSordEr. Preliminary results G Anmella, A Mas, I Pacchiarotti, T Fernández, A Bastidas, I Agasi, ... European Psychiatry 65 (S1), S221-S221, 2022 | | 2022 |
| Timebase: identifying digital biomarkers of illness activity and treatment response in bipolar disorder: an exploratory study. G Anmella, F Corponi, B Li, AM Musons, M Sanabra, P Isabella, V Marc, ... Neuroscience Applied 1, 100176, 2022 | | 2022 |
| RL: Generic reinforcement learning codebase in TensorFlow BM Li, A Cowen-Rivers, P Kozakowski, D Tao, SR Kamalakara, ... Journal of Open Source Software (JOSS) 4 (42), 1524, 2019 | | 2019 |
Filippo CorponiUniversity of EdinburghВерификована је имејл адреса на ed.ac.uk
