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2023 |
Amaradio MN, Jansen G, Costanza J, Patanè A, Branduardi P, Porro D, Nicosia G. |
L-lactate production in engineered Saccharomyces cerevisiae using a multistage multiobjective automated design framework. Biotechnology and bioengineering. DOI: http://dx.doi.org/10.1002/bit.28391 |
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2022 |
Ghiasi S, Patane A, Laurenti L, Gentili C, Scilingo EP, Greco A, Kwiatkowska M. |
Physiologically-Informed Gaussian Processes for Interpretable Modelling of Psycho-Physiological States. IEEE journal of biomedical and health informatics. DOI: http://dx.doi.org/10.1109/jbhi.2022.3224775 |
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2022 |
Patane, Andrea and Blaas, Arno and Laurenti, Luca and Cardelli, Luca and Roberts, Stephen and Kwiatkowska, Marta |
Adversarial robustness guarantees for gaussian processes Journal of Machine Learning Research, 23 |
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2022 |
Benussi, Elias, Patane', Andrea, Wicker, Matthew, Laurenti, Luca, Kwiatkowska, Marta |
Individual Fairness Guarantees for Neural Networks Biotechnology and bioengineering. DOI: http://dx.doi.org/10.24963/ijcai.2022/92 |
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2022 |
Ojha V., Jansen G., Patane A., La Magna A., Romano V., Nicosia G. |
Design and characterization of effective solar cells Energy Systems, 13(2), pp355-382. DOI: http://dx.doi.org/10.1007/s12667-021-00451-x |
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2021 |
Wicker, Matthew and Laurenti, Luca and Patane, Andrea and Chen, Zhuotong and Zhang, Zheng and Kwiatkowska, Marta |
Bayesian inference with certifiable adversarial robustness , pp2431--2439 |
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2021 |
Wicker, Matthew and Laurenti, Luca and Patane, Andrea and Paoletti, Nicola and Abate, Alessandro and Kwiatkowska, Marta |
Certification of iterative predictions in Bayesian neural networks , pp1713--1723 |
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2020 |
Blaas, Arno and Patane, Andrea and Laurenti, Luca and Cardelli, Luca and Kwiatkowska, Marta and Roberts, Stephen |
Adversarial robustness guarantees for classification with gaussian processes , pp3372--3382 |
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2020 |
Polymenakos K., Laurenti L., Patane A., Calliess J.-P., Cardelli L., Kwiatkowska M., Abate A., Roberts S. |
Safety Guarantees for Iterative Predictions with Gaussian Processes Proceedings of the IEEE Conference on Decision and Control, 2020-December, pp3187-3193. DOI: http://dx.doi.org/10.1109/CDC42340.2020.9304029 |
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2020 |
Ghiasi S., Patane A., Greco A., Laurenti L., Scilingo E.P., Kwiatkowska M. |
Gaussian Processes with Physiologically-Inspired Priors for Physical Arousal Recognition Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2020-July, pp54-57. DOI: http://dx.doi.org/10.1109/EMBC44109.2020.9176437 |
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2020 |
Carbone, Ginevra and Wicker, Matthew and Laurenti, Luca and Patane, Andrea and Bortolussi, Luca and Sanguinetti, Guido |
Robustness of bayesian neural networks to gradient-based attacks Advances in Neural Information Processing Systems, 33, pp15602--15613 |
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2020 |
Wicker, Matthew and Laurenti, Luca and Patane, Andrea and Kwiatkowska, Marta |
Probabilistic safety for bayesian neural networks , pp1198--1207 |
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2019 |
Patane A., Kwiatkowska M. |
Calibrating the classifier: Siamese neural network architecture for end-to-end arousal recognition from ECG Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11331 LNCS, pp1-13. DOI: http://dx.doi.org/10.1007/978-3-030-13709-0_1 |
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2019 |
Colombo D, Fernández-Álvarez J, Fernández-Álvarez J, Patané A, Semonella M, Kwiatkowska M, García-Palacios A, Cipresso ... |
Current State and Future Directions of Technology-Based Ecological Momentary Assessment and Intervention for Major Depressive Disorder: A Systematic Review. Journal of clinical medicine, 8(4). DOI: http://dx.doi.org/10.3390/jcm8040465 |
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2019 |
Patane A., Jansen G., Conca P., Carapezza G., Costanza J., Nicosia G. |
Multi-objective optimization of genome-scale metabolic models: the case of ethanol production Annals of Operations Research, 276(1-2), pp211-227. DOI: http://dx.doi.org/10.1007/s10479-018-2865-4 |
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2019 |
Rosa S., Patane A., Lu C.X., Trigoni N. |
Semantic Place understanding for human-robot coexistence-Toward intelligent workplaces IEEE Transactions on Human-Machine Systems, 49(2), pp160-170. DOI: http://dx.doi.org/10.1109/THMS.2018.2875079 |
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2019 |
Cardelli L., Kwiatkowska M., Laurenti L., Paoletti N., Patane A., Wicker M. |
Statistical guarantees for the robustness of Bayesian neural networks IJCAI International Joint Conference on Artificial Intelligence, 2019-August, pp5693-5700. DOI: http://dx.doi.org/10.24963/ijcai.2019/789 |
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2019 |
Cardelli, Luca, Kwiatkowska, Marta, Laurenti, Luca, Patane, Andrea |
Robustness Guarantees for Bayesian Inference with Gaussian Processes Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), pp7759-7768. DOI: http://dx.doi.org/10.1609/aaai.v33i01.33017759 |
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2018 |
Paoletti N., Patane A., Kwiatkowska M. |
Closed-loop quantitative verification of rate-adaptive pacemakers ACM Transactions on Cyber-Physical Systems, 2(4). DOI: http://dx.doi.org/10.1145/3152767 |
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2018 |
Rosa S., Patane A., Lu X., Trigoni N. |
Commonsense: Collaborative learning of scene semantics by robots and humans IoPARTS 2018 - Proceedings of the 2018 International Workshop on Internet of People, Assistive Robots and ThingS, pp1-6. DOI: http://dx.doi.org/10.1145/3215525.3215526 |
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2018 |
Patane A., Ghiasi S., Scilingo E.P., Kwiatkowska M. |
Automated Recognition of Sleep Arousal Using Multimodal and Personalized Deep Ensembles of Neural Networks Computing in Cardiology, 2018-September. DOI: http://dx.doi.org/10.22489/CinC.2018.332 |
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2018 |
Colombo D, Palacios AG, Alvarez JF, Patané A, Semonella M, Cipresso P, Kwiatkowska M, Riva G, Botella C. |
Current state and future directions of technology-based ecological momentary assessments and interventions for major depressive disorder: protocol for a systematic review. Systematic reviews, 7(1), pp233. DOI: http://dx.doi.org/10.1186/s13643-018-0899-y |
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2018 |
Eberz S., Lovisotto G., Patane A., Kwiatkowska M., Lenders V., Martinovic I. |
When Your Fitness Tracker Betrays You: Quantifying the Predictability of Biometric Features Across Contexts Proceedings - IEEE Symposium on Security and Privacy, 2018-May, pp889-905. DOI: http://dx.doi.org/10.1109/SP.2018.00053 |
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2018 |
Patane A., Santoro A., Romano V., Magna A.L., Nicosia G. |
Enhancing quantum efficiency of thin-film silicon solar cells by Pareto optimality Journal of Global Optimization, 72(3), pp491-515. DOI: http://dx.doi.org/10.1007/s10898-018-0639-9 |
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2017 |
Eberz, Simon, Paoletti, Nicola, Roeschlin, Marc, Patani, Andrea, Kwiatkowska, Marta, Martinovic, Ivan |
Broken Hearted: How To Attack ECG Biometrics Proceedings 2017 Network and Distributed System Security Symposium. DOI: http://dx.doi.org/10.14722/ndss.2017.23408 |
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2017 |
Patane A., Santoro A., Conca P., Carapezza G., Magna A.L., Romano V., Nicosia G. |
Multi-objective optimization and analysis for the design space exploration of analog circuits and solar cells Engineering Applications of Artificial Intelligence, 62, pp373-383. DOI: http://dx.doi.org/10.1016/j.engappai.2016.08.010 |
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2016 |
Patane A., Santoro A., Carapezza G., La Magna A., Romano V., Nicosia G. |
A multi-objective clonal selection algorithm for analog circuit and solar cell design International Workshop on Artificial Immune Systems, AIS 2015/ICSI3 2015 - Systems Immunology, Immunoinformatics and Immune-computation: Immunology without Borders, Proceedings. DOI: http://dx.doi.org/10.1109/AISW.2015.7469240 |
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2016 |
Patane A., Conca P., Carapezza G., Santoro A., Costanza J., Nicosia G. |
Metabolic circuit design automation by multi-objective BioCAD Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10122 LNCS, pp30-44. DOI: http://dx.doi.org/10.1007/978-3-319-51469-7_3 |
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2015 |
Patanè A, Santoro A, Costanza J, Carapezza G, Nicosia G. |
Pareto Optimal Design for Synthetic Biology. IEEE transactions on biomedical circuits and systems, 9(4), pp555-571. DOI: http://dx.doi.org/10.1109/tbcas.2015.2467214 |
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2015 |
Barker C, Kwiatkowska M, Mereacre A, Paoletti N, Patane A. |
Hardware-in-the-loop simulation and energy optimization of cardiac pacemakers. Annu Int Conf IEEE Eng Med Biol Soc, 2015, pp7188-7191. DOI: http://dx.doi.org/10.1109/embc.2015.7320050 |
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2015 |
Kwiatkowska M., Mereacre A., Paoletti N., Patane A. |
Synthesising Robust and Optimal Parameters for Cardiac Pacemakers Using Symbolic and Evolutionary Computation Techniques Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9271, pp119-140. DOI: http://dx.doi.org/10.1007/978-3-319-26916-0_7 |