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Mancini, Toni; Mari, Federico; Massini, Annalisa; Melatti, Igor; Tronci, Enrico |
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Simulator Semantics for System Level Formal Verification |
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2015 |
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Proceedings Sixth International Symposium on Games, Automata, Logics and Formal Verification (GandALF 2015), |
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MCLab @ davi @ |
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125 |
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Mari, Federico; Melatti, Igor; Tronci, Enrico; Finzi, Alberto |
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Title |
A multi-hop advertising discovery and delivering protocol for multi administrative domain MANET |
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2013 |
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Mobile Information Systems |
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Mobile Information Systems |
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3 |
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9 |
Pages |
261-280 |
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IOS Press |
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1574-017x (Print) 1875-905X (Online) |
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Sapienza @ melatti @ |
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109 |
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Sinisi, S.; Alimguzhin, V.; Mancini, T.; Tronci, E.; Mari, F.; Leeners, B. |
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Title |
Optimal Personalised Treatment Computation through In Silico Clinical Trials on Patient Digital Twins |
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Journal Article |
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Year |
2020 |
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Fundamenta Informaticae |
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174 |
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283-310 |
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Artificial Intelligence; Virtual Physiological Human; In Silico Clinical Trials; Simulation; Personalised Medicine; In Silico Treatment Optimisation |
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In Silico Clinical Trials (ISCT), i.e. clinical experimental campaigns carried out by means of computer simulations, hold the promise to decrease time and cost for the safety and efficacy assessment of pharmacological treatments, reduce the need for animal and human testing, and enable precision medicine. In this paper we present methods and an algorithm that, by means of extensive computer simulation-based experimental campaigns (ISCT) guided by intelligent search, optimise a pharmacological treatment for an individual patient (precision medicine ). We show the effectiveness of our approach on a case study involving a real pharmacological treatment, namely the downregulation phase of a complex clinical protocol for assisted reproduction in humans. |
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IOS Press |
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1875-8681 |
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MCLab @ davi @ |
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187 |
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Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. |
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Title |
SyLVaaS: System Level Formal Verification as a Service |
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2016 |
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Fundamenta Informaticae |
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149 |
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1-2 |
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101-132 |
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MCLab @ davi @ DBLP:journals/fuin/ManciniMMMT16 |
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160 |
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Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Salvo, I.; Sinisi, S.; Tronci, E.; Ehrig, R.; Röblitz, S.; Leeners, B. |
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Computing Personalised Treatments through In Silico Clinical Trials. A Case Study on Downregulation in Assisted Reproduction |
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2018 |
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25th RCRA International Workshop on “Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion” (RCRA 2018) |
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MCLab @ davi @ |
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175 |
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Verzino Giovanni ; Cavaliere, Federico; Mari, Federico; Melatti, Igor; Minei, Giovanni; Salvo, Ivano; Yushtein, Yuri; Tronci, Enrico |
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Title |
Model checking driven simulation of sat procedures |
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2012 |
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Proceedings of 12th International Conference on Space Operations (SpaceOps 2012) |
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International Conference on Space Operations |
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Sapienza @ melatti @ |
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117 |
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Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico |
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Title |
Model Based Synthesis of Control Software from System Level Formal Specifications |
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Journal Article |
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2014 |
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ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY |
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ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY |
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23 |
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1 |
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Article 6 |
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ACM |
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1049-331X |
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Sapienza @ melatti @ |
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110 |
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Author |
Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico |
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Title |
On Model Based Synthesis of Embedded Control Software |
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Conference Article |
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2012 |
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Proceedings of the 12th International Conference on Embedded Software, EMSOFT 2012, part of the Eighth Embedded Systems Week, ESWeek 2012, Tampere, Finland, October 7-12, 2012 |
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227-236 |
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ACM |
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Ahmed Jerraya and Luca P. Carloni and Florence Maraninchi and John Regehr |
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978-1-4503-1425-1 |
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Techreport version can be found at arxiv.org |
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yes |
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Sapienza @ mari @ emsoft12 |
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97 |
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Author |
Chierichetti, Flavio; Lattanzi, Silvio; Mari, Federico; Panconesi, Alessandro |
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Title |
On Placing Skips Optimally in Expectation |
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2008 |
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Web Search and Web Data Mining (WSDM 2008) |
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15-24 |
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Information Retrieval |
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We study the problem of optimal skip placement in an inverted list. Assuming the query distribution to be known in advance, we formally prove that an optimal skip placement can be computed quite efficiently. Our best algorithm runs in time O(n log n), n being the length of the list. The placement is optimal in the sense that it minimizes the expected time to process a query. Our theoretical results are matched by experiments with a real corpus, showing that substantial savings can be obtained with respect to the tra- ditional skip placement strategy, that of placing consecutive skips, each spanning sqrt(n) many locations. |
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Acm |
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Najork, M.; Broder, A.Z.; Chakrabarti, S. |
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yes |
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Sapienza @ mari @ ChiLatMar08 |
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94 |
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Ehrig, R.; Dierkes, T.; Schaefer, S.; Roeblitz, S.; Tronci, E.; Mancini, T.; Salvo, I.; Alimguzhin, V.; Mari, F.; Melatti, I.; Massini, A.; Leeners, B.; Krueger, T.H.C.; Egli, M.; Ille, F. |
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An integrative approach for model driven computation of treatments in reproductive medicine |
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2015 |
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Proceedings of the 15th International Symposium on Mathematical and Computational Biology (BIOMAT 2015), Rorkee, India |
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Sapienza @ preissler @ Ehrig_etal2015 |
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144 |
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