Andrea Patane
Andrea Patane
Email verificata su cs.ox.ac.uk
Titolo
Citata da
Citata da
Anno
Broken hearted: How to attack ECG biometrics
S Eberz, N Paoletti, M Roeschlin, M Kwiatkowska, I Martinovic, A Patané
Internet Society, 2017
342017
Robustness guarantees for bayesian inference with gaussian processes
L Cardelli, M Kwiatkowska, L Laurenti, A Patane
Proceedings of the AAAI Conference on Artificial Intelligence 33, 7759-7768, 2019
172019
Synthesising robust and optimal parameters for cardiac pacemakers using symbolic and evolutionary computation techniques
M Kwiatkowska, A Mereacre, N Paoletti, A Patanč
International Workshop on Hybrid Systems Biology, 119-140, 2015
152015
Statistical guarantees for the robustness of bayesian neural networks
L Cardelli, M Kwiatkowska, L Laurenti, N Paoletti, A Patane, M Wicker
arXiv preprint arXiv:1903.01980, 2019
122019
Pareto optimal design for synthetic biology
A Patane, A Santoro, J Costanza, G Carapezza, G Nicosia
IEEE transactions on biomedical circuits and systems 9 (4), 555-571, 2015
122015
Hardware-in-the-loop simulation and energy optimization of cardiac pacemakers
C Barker, M Kwiatkowska, A Mereacre, N Paoletti, A Patanč
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual …, 2015
82015
Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review
D Colombo, J Fernández-Álvarez, A Patané, M Semonella, ...
Journal of clinical medicine 8 (4), 465, 2019
72019
Automated recognition of sleep arousal using multimodal and personalized deep ensembles of neural networks
A Patane, S Ghiasi, EP Scilingo, M Kwiatkowska
2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018
62018
Robustness Quantification for Classification with Gaussian Processes
A Blaas, L Laurenti, A Patane, L Cardelli, M Kwiatkowska, S Roberts
arXiv preprint arXiv:1905.11876, 2019
52019
Current state and future directions of technology-based ecological momentary assessments and interventions for major depressive disorder: protocol for a systematic review
D Colombo, AG Palacios, JF Alvarez, A Patané, M Semonella, P Cipresso, ...
Systematic reviews 7 (1), 233, 2018
52018
When Your Fitness Tracker Betrays You: Quantifying the Predictability of Biometric Features Across Contexts
IM S Eberz, G Lovisotto, A Patanč, M Kwiatkowska, V Lenders
IEEE Symposium on Security and Privacy, 2018
5*2018
Closed-loop quantitative verification of rate-adaptive pacemakers
N Paoletti, A Patane, M Kwiatkowska
ACM Transactions on Cyber-Physical Systems, to appear, 2018
42018
CommonSense: Collaborative learning of scene semantics by robots and humans
S Rosa, A Patanč, X Lu, N Trigoni
Proceedings of the 1st International Workshop on Internet of People …, 2018
32018
Safety Guarantees for Planning Based on Iterative Gaussian Processes
K Polymenakos, L Laurenti, A Patane, JP Calliess, L Cardelli, ...
arXiv preprint arXiv:1912.00071, 2019
22019
Multi-objective optimization of genome-scale metabolic models: the case of ethanol production
A Patané, G Jansen, P Conca, G Carapezza, J Costanza, G Nicosia
Annals of Operations Research 276 (1-2), 211-227, 2019
22019
Calibrating the Classifier: Siamese Neural Network Architecture for End-to-End Arousal Recognition from ECG
A Patane, M Kwiatkowska
The Fourth International Conference on Machine Learning, Optimization, and …, 2018
22018
Multi-objective optimization and analysis for the design space exploration of analog circuits and solar cells
A Patanč, A Santoro, P Conca, G Carapezza, A La Magna, V Romano, ...
Engineering Applications of Artificial Intelligence 62, 373-383, 2017
22017
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
G Carbone, M Wicker, L Laurenti, A Patane, L Bortolussi, G Sanguinetti
arXiv preprint arXiv:2002.04359, 2020
12020
Metabolic circuit design automation by multi-objective BioCAD
A Patané, P Conca, G Carapezza, A Santoro, J Costanza, G Nicosia
International Workshop on Machine Learning, Optimization, and Big Data, 30-44, 2016
12016
Probabilistic Safety for Bayesian Neural Networks
M Wicker, L Laurenti, A Patane, M Kwiatkowska
arXiv preprint arXiv:2004.10281, 2020
2020
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
Articoli 1–20