| Handbook of LHC Higgs cross sections: 2. Differential distributions S Dittmaier, C Mariotti, G Passarino, R Tanaka, S Alekhin, J Alwall, ... arXiv preprint arXiv:1201.3084, 2012 | 1187 | 2012 |
| The Higgs-boson lineshape S Goria, G Passarino, D Rosco Nuclear Physics B 864 (3), 530-579, 2012 | 260 | 2012 |
| Improving biodiversity protection through artificial intelligence D Silvestro, S Goria, T Sterner, A Antonelli Nature sustainability 5 (5), 415-424, 2022 | 147 | 2022 |
| Bayesian Networks for the robust and unbiased prediction of depression and its symptoms utilizing speech and multimodal data S Fara, O Hickey, A Georgescu, S Goria, E Molimpakis, N Cummins arXiv preprint arXiv:2211.04924, 2022 | 10 | 2022 |
| Speech and the n-Back task as a lens into depression. How combining both may allow us to isolate different core symptoms of depression S Fara, S Goria, E Molimpakis, N Cummins arXiv preprint arXiv:2204.00088, 2022 | 10 | 2022 |
| Anomalous threshold as the pivot of Feynman amplitudes S Goria, G Passarino arXiv preprint arXiv:0807.0698, 2008 | 6 | 2008 |
| Optimising biodiversity protection through artificial intelligence A Antonelli, S Goria, T Sterner, D Silvestro bioRxiv, 2021 | 4 | 2021 |
| The 30 by 30 biodiversity commitment and financial disclosure: Metrics matter D Silvestro, S Goria, B Groom, T Sterner, A Antonelli Available at SSRN 4594937, 2023 | 2 | 2023 |
| Revealing Confounding Biases: A Novel Benchmarking Approach for Aggregate-Level Performance Metrics in Health Assessments R Polle, S Fara, AL Georgescu, S Goria, N Cummins Accepted for Interspeech 2024, Kos Island, Greece, 2024 | 1 | 2024 |
| Path Signature Representation of Patient-Clinician Interactions as a Predictor for Neuropsychological Tests Outcomes in Children: A Proof of Concept G Falcioni, A Georgescu, E Molimpakis, L Gottlieb, T Kuhn, S Goria 2023 IEEE International Conference on Medical Artificial Intelligence (MedAI …, 2023 | 1 | 2023 |
| Utilising Bayesian Networks to combine multimodal data and expert opinion for the robust prediction of depression and its symptoms S Fara, O Hickey, A Georgescu, S Goria, E Molimpakis, N Cummins Preprint]. doi 10, 2022 | 1 | 2022 |
| Optimising biodiversity protection through artificial intelligence D Silvestro, S Goria, T Sterner, A Antonelli bioRxiv, 2021.04. 13.439752, 2021 | 1 | 2021 |
| Using artificial intelligence to optimize ecological restoration for climate and biodiversity D Silvestro, S Goria, B Groom, T Sterner, A Antonelli bioRxiv, 2025.01. 31.635975, 2025 | | 2025 |
| Screening for Depression and Anxiety Using a Nonverbal Working Memory Task in a Sample of Older Brazilians: Observational Study of Preliminary Artificial Intelligence Model … AL Georgescu, N Cummins, E Molimpakis, E Giacomazzi, JR Marczyk, ... JMIR Formative Research 8 (1), e55856, 2024 | | 2024 |
| Predicting different dimensions of fatigue from speech data: a longitudinal study in shift workers A Norbury, AL Georgescu, E Molimpakis, S Goria, N Cummins medRxiv, 2024.06. 17.24308769, 2024 | | 2024 |
| 2023 IEEE International Conference on Medical Artificial Intelligence (MedAI)| 979-8-3503-5878-0/23/$31.00© 2023 IEEE| DOI: 10.1109/MEDAI59581. 2023.00069 G An, T Bai, L Bin, MD Blackledge, J Cao, W Cao, Q Chang, H Chen, ... | | |
| MedAI 2023 G Falcioni, S Goria, Y Wei, W Wang | | |
Alexandre AntonelliRoyal Botanic Gardens, Kew確認したメール アドレス: kew.org