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Author Toni Mancini; Enrico Tronci; Ivano Salvo; Federico Mari; Annalisa Massini; Igor Melatti pdf  doi
openurl 
  Title Computing Biological Model Parameters by Parallel Statistical Model Checking Type Journal Article
  Year 2015 Publication International Work Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2015) Abbreviated Journal  
  Volume 9044 Issue Pages 542-554  
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  Call Number MCLab @ davi @ Serial 124  
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Author Mancini, Toni; Mari, Federico; Massini, Annalisa; Melatti, Igor; Tronci, Enrico pdf  url
doi  openurl
  Title Simulator Semantics for System Level Formal Verification Type Conference Article
  Year 2015 Publication Proceedings Sixth International Symposium on Games, Automata, Logics and Formal Verification (GandALF 2015), Abbreviated Journal  
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  Call Number MCLab @ davi @ Serial 125  
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Author Alimguzhin, V.; Mari, F.; Melatti, I.; Tronci, E.; Ebeid, E.; Mikkelsen, S.A.; Jacobsen, R.H.; Gruber, J.K.; Hayes, B.; Huerta, F.; Prodanovic, M. pdf  doi
openurl 
  Title A Glimpse of SmartHG Project Test-bed and Communication Infrastructure Type Conference Article
  Year 2015 Publication Digital System Design (DSD), 2015 Euromicro Conference on Abbreviated Journal  
  Volume Issue Pages 225-232  
  Keywords Batteries; Control systems; Databases; Production; Sensors; Servers; Smart grids; Grid State Estimation; Peak Shaving; Policy Robustness Verification; Price Policy Synthesis  
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  Call Number Sapienza @ preissler @ Alimguzhin_etal2015 Serial 127  
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Author Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. pdf  url
doi  openurl
  Title Anytime system level verification via parallel random exhaustive hardware in the loop simulation Type Journal Article
  Year 2016 Publication Microprocessors and Microsystems Abbreviated Journal  
  Volume 41 Issue Pages 12-28  
  Keywords Model Checking of Hybrid Systems; Model checking driven simulation; Hardware in the loop simulation  
  Abstract Abstract System level verification of cyber-physical systems has the goal of verifying that the whole (i.e., software + hardware) system meets the given specifications. Model checkers for hybrid systems cannot handle system level verification of actual systems. Thus, Hardware In the Loop Simulation (HILS) is currently the main workhorse for system level verification. By using model checking driven exhaustive HILS, System Level Formal Verification (SLFV) can be effectively carried out for actual systems. We present a parallel random exhaustive HILS based model checker for hybrid systems that, by simulating all operational scenarios exactly once in a uniform random order, is able to provide, at any time during the verification process, an upper bound to the probability that the System Under Verification exhibits an error in a yet-to-be-simulated scenario (Omission Probability). We show effectiveness of the proposed approach by presenting experimental results on SLFV of the Inverted Pendulum on a Cart and the Fuel Control System examples in the Simulink distribution. To the best of our knowledge, no previously published model checker can exhaustively verify hybrid systems of such a size and provide at any time an upper bound to the Omission Probability.  
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  ISSN 0141-9331 ISBN Medium  
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  Call Number MCLab @ davi @ Mancini201612 Serial 155  
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Author Mancini, T. pdf  url
openurl 
  Title Now or Never: negotiating efficiently with unknown counterparts Type Journal Article
  Year 2015 Publication In proceedings of the 22nd RCRA International Workshop. Ferrara, Italy. CEUR, 2015 (Co-located with the 14th Conference of the Italian Association for Artificial Intelligence (AI*IA 2015)). Abbreviated Journal  
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  Call Number Sapienza @ preissler @ Mancini2015 Serial 131  
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Author Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E. pdf  url
doi  openurl
  Title An Efficient Algorithm for Network Vulnerability Analysis Under Malicious Attacks Type Conference Article
  Year 2018 Publication Foundations of Intelligent Systems – 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings Abbreviated Journal  
  Volume Issue Pages 302-312  
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  Call Number MCLab @ davi @ DBLP:conf/ismis/ManciniMMST18 Serial 176  
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Author Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E.; Gruber, J.K.; Hayes, B.; Prodanovic, M.; Elmegaard, L. pdf  doi
openurl 
  Title User Flexibility Aware Price Policy Synthesis for Smart Grids Type Conference Article
  Year 2015 Publication Digital System Design (DSD), 2015 Euromicro Conference on Abbreviated Journal  
  Volume Issue Pages 478-485  
  Keywords Contracts; Current measurement; Load management; Power demand; Power measurement; State estimation; Substations; Grid State Estimation; Peak Shaving; Policy Robustness Verification; Price Policy Synthesis  
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  Call Number Sapienza @ preissler @ Mancini_etal2015_3 Serial 136  
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Author Leeners, B.; Kruger, T.H.C.; Geraedts, K.; Tronci, E.; Mancini, T.; Ille, F.; Egli, M.; Röblitz, S.; Saleh, L.; Spanaus, K.; Schippert, C.; Zhang, Y.; Hengartner, M.P. pdf  url
doi  openurl
  Title Lack of Associations between Female Hormone Levels and Visuospatial Working Memory, Divided Attention and Cognitive Bias across Two Consecutive Menstrual Cycles Type Journal Article
  Year 2017 Publication Frontiers in Behavioral Neuroscience Abbreviated Journal  
  Volume 11 Issue Pages 120  
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  Abstract Background: Interpretation of observational studies on associations between prefrontal cognitive functioning and hormone levels across the female menstrual cycle is complicated due to small sample sizes and poor replicability. Methods: This observational multisite study comprised data of n=88 menstruating women from Hannover, Germany, and Zurich, Switzerland, assessed during a first cycle and n=68 re-assessed during a second cycle to rule out practice effects and false-positive chance findings. We assessed visuospatial working memory, attention, cognitive bias and hormone levels at four consecutive time-points across both cycles. In addition to inter-individual differences we examined intra-individual change over time (i.e., within-subject effects). Results: Oestrogen, progesterone and testosterone did not relate to inter-individual differences in cognitive functioning. There was a significant negative association between intra-individual change in progesterone and change in working memory from pre-ovulatory to mid-luteal phase during the first cycle, but that association did not replicate in the second cycle. Intra-individual change in testosterone related negatively to change in cognitive bias from menstrual to pre-ovulatory as well as from pre-ovulatory to mid-luteal phase in the first cycle, but these associations did not replicate in the second cycle. Conclusions: There is no consistent association between women's hormone levels, in particular oestrogen and progesterone, and attention, working memory and cognitive bias. That is, anecdotal findings observed during the first cycle did not replicate in the second cycle, suggesting that these are false-positives attributable to random variation and systematic biases such as practice effects. Due to methodological limitations, positive findings in the published literature must be interpreted with reservation.  
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  Call Number Sapienza @ mari @ ref10.3389/fnbeh.2017.00120 Serial 167  
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Author Mancini, T. ; Mari, F.; Massini, A.; Melatti, I.; Salvo, I.; Tronci, E. pdf  doi
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  Title On minimising the maximum expected verification time Type Journal Article
  Year 2017 Publication Information Processing Letters Abbreviated Journal  
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  Call Number Sapienza @ mari @ Serial 163  
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Author Hengartner, M. P.; Kruger, T. H. C.; Geraedts, K.; Tronci, E.; Mancini, T.; Ille, F.; Egli, M.; Röblitz, S.; Ehrig, R.; Saleh, L.; Spanaus, K.; Schippert, C.; Zhang, Y.; Leeners, B. pdf  doi
openurl 
  Title Negative affect is unrelated to fluctuations in hormone levels across the menstrual cycle: Evidence from a multisite observational study across two successive cycles Type Journal Article
  Year 2017 Publication Journal of Psychosomatic Research Abbreviated Journal  
  Volume 99 Issue Pages 21-27  
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  Call Number MCLab @ davi @ Serial 165  
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