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Elvio Gilberto Amparore

Elvio G. Amparore

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2020 – today

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2024
[j11]
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Elvio Gilberto Amparore, Marco Beccuti, Paolo Castagno, Simone Pernice, Giuliana Franceschinis, Marzio Pennisi:
From Compositional Petri Net Modeling to Macro and Micro Simulation by Means of Stochastic Simulation and Agent-Based Models. ACM Trans. Model. Perform. Evaluation Comput. Syst. 9(1): 1:1-1:30 (2024)
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Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda:
Using Stratified Sampling to Improve LIME Image Explanations. AAAI 2024: 14785-14792
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Elvio G. Amparore, Susanna Donatelli, Lea Terracini:
Hilbert Composition of Multilabelled Events. Petri Nets 2024: 132-152
[c36]
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Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda:
Can I Trust My Anomaly Detection System? A Case Study Based on Explainable AI. xAI (4) 2024: 243-254
[i4]
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  - journals/corr/abs-2403-17742
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Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda:
Using Stratified Sampling to Improve LIME Image Explanations. CoRR abs/2403.17742 (2024)
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Muhammad Rashid, Elvio Gilberto Amparore, Enrico Ferrari, Damiano Verda:
Can I trust my anomaly detection system? A case study based on explainable AI. CoRR abs/2407.19951 (2024)
2023
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Marzio Pennisi, Elvio G. Amparore, Giuliana Franceschinis:
Exploiting Structural Dependency Relations for Efficient Agent Based Model Simulation. EPEW 2023: 353-368
[i2]
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  - journals/corr/abs-2302-07760
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Francesco Lomuscio, Paolo Bajardi, Alan Perotti, Elvio G. Amparore:
Streamlining models with explanations in the learning loop. CoRR abs/2302.07760 (2023)
2022
[j10]
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Elvio Gilberto Amparore, Susanna Donatelli, Francesco Gallà:
starMC: an automata based CTL* model checker. PeerJ Comput. Sci. 8: e823 (2022)
[j9]
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Elvio G. Amparore:
Stochastic modelling and evaluation using GreatSPN. SIGMETRICS Perform. Evaluation Rev. 49(4): 87-91 (2022)
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Elvio G. Amparore, Susanna Donatelli:
The Ins and Outs of Petri Net Composition. Petri Nets 2022: 278-299
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Francesco Lomuscio, Paolo Bajardi, Alan Perotti, Elvio G. Amparore:
Streamlining models with explanations in the learning loop. DSAA 2022: 1-10
[c32]
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Elvio G. Amparore, Marco Botta, Idilio Drago, Susanna Donatelli, Giuseppe Mazzone:
Challenges for Driver Action Recognition with Face Masks. ITSC 2022: 1491-1497
2021
[j8]
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Elvio G. Amparore, Alan Perotti, Paolo Bajardi:
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods. PeerJ Comput. Sci. 7: e479 (2021)
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Elvio Gilberto Amparore, Marco Beccuti, Paolo Castagno, Giuliana Franceschinis, Marzio Pennisi, Simone Pernice:
Multiformalism modeling and simulation of immune system mechanisms. BIBM 2021: 3259-3266
[i1]
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Elvio G. Amparore, Alan Perotti, Paolo Bajardi:
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods. CoRR abs/2106.00461 (2021)
2020
[j7]
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Elvio Gilberto Amparore, Susanna Donatelli, Gianfranco Ciardo:
Variable order metrics for decision diagrams in system verification. Int. J. Softw. Tools Technol. Transf. 22(5): 541-562 (2020)
[c30]
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Elvio Gilberto Amparore, Susanna Donatelli, Francesco Gallà:
A CTL* Model Checker for Petri Nets. Petri Nets 2020: 403-413

2010 – 2019

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2019
[c29]
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Dena Markudova, Elena Baralis, Luca Cagliero, Marco Mellia, Luca Vassio, Elvio Gilberto Amparore, Riccardo Loti, Lucia Salvatori:
Heterogeneous Industrial Vehicle Usage Predictions: A Real Case. EDBT/ICDT Workshops 2019
[c28]
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Elvio Gilberto Amparore, Peter Buchholz, Susanna Donatelli:
Great-Nsolve: A Tool Integration for (Markov Regenerative) Stochastic Petri Nets. QEST 2019: 355-360
[c27]
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Elvio Gilberto Amparore, Bernard Berthomieu, Gianfranco Ciardo, Silvano Dal-Zilio, Francesco Gallà, Lom-Messan Hillah, Francis Hulin-Hubard, Peter Gjøl Jensen, Loïg Jezequel, Fabrice Kordon, Didier Le Botlan, Torsten Liebke, Jeroen Meijer, Andrew S. Miner, Emmanuel Paviot-Adet, Jirí Srba, Yann Thierry-Mieg, Tom van Dijk, Karsten Wolf:
Presentation of the 9th Edition of the Model Checking Contest. TACAS (3) 2019: 50-68
[c26]
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Elvio Gilberto Amparore, Gianfranco Ciardo, Susanna Donatelli, Andrew S. Miner:
i _\mathrm Rank : A Variable Order Metric for DEDS Subject to Linear Invariants. TACAS (2) 2019: 285-302
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Elvio Gilberto Amparore, Susanna Donatelli:
Modelling and Efficient Solution of Multiple-Phased Systems. Systems Modeling: Methodologies and Tools 2019: 47-61
2018
[j6]
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  - journals/bioinformatics/BeccutiCAPADC18
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Marco Beccuti, Francesca Cordero, Maddalena Arigoni, Riccardo Panero, Elvio Gilberto Amparore, Susanna Donatelli, Raffaele A. Calogero:
SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer. Bioinform. 34(5): 871-872 (2018)
[j5]
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Elvio Gilberto Amparore, Susanna Donatelli:
Efficient model checking of the stochastic logic CSL^TA. Perform. Evaluation 123-124: 1-34 (2018)
[j4]
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Elvio Gilberto Amparore, Susanna Donatelli, Marco Beccuti, Giulio Garbi, Andrew S. Miner:
Decision Diagrams for Petri Nets: A Comparison of Variable Ordering Algorithms. Trans. Petri Nets Other Model. Concurr. 13: 73-92 (2018)
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Fabrice Kordon, Hubert Garavel, Lom-Messan Hillah, Emmanuel Paviot-Adet, Loïg Jezequel, Francis Hulin-Hubard, Elvio Gilberto Amparore, Marco Beccuti, Bernard Berthomieu, Hugues Evrard, Peter Gjøl Jensen, Didier Le Botlan, Torsten Liebke, Jeroen Meijer, Jirí Srba, Yann Thierry-Mieg, Jaco van de Pol, Karsten Wolf:
MCC'2017 - The Seventh Model Checking Contest. Trans. Petri Nets Other Model. Concurr. 13: 181-209 (2018)
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Elvio Gilberto Amparore, Susanna Donatelli:
GreatTeach: A Tool for Teaching (Stochastic) Petri Nets. Petri Nets 2018: 416-425
[c24]
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Mohamad Gharib, Paolo Lollini, Marco Botta, Elvio Gilberto Amparore, Susanna Donatelli, Andrea Bondavalli:
On the Safety of Automotive Systems Incorporating Machine Learning Based Components: A Position Paper. DSN Workshops 2018: 271-274
[c23]
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Elvio Gilberto Amparore, Marco Beccuti, Marco Botta, Susanna Donatelli, Fabio Tango:
Adaptive Artificial Co-pilot as Enabler for Autonomous Vehicles and Intelligent Transportation Systems. ATT@IJCAI 2018: 70-77
2017
[c22]
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Elvio Gilberto Amparore, Susanna Donatelli, Marco Beccuti, Giulio Garbi, Andrew S. Miner:
Decision Diagrams for Petri Nets: Which Variable Ordering? PNSE @ Petri Nets 2017: 31-50
[c21]
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Elvio Gilberto Amparore, Susanna Donatelli, Elisa Landini:
Modelling and Evaluation of a Control Room Application. Petri Nets 2017: 243-263
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Elvio Gilberto Amparore, Marco Beccuti, Susanna Donatelli:
Gradient-Based Variable Ordering of Decision Diagrams for Systems with Structural Units. ATVA 2017: 184-200
[c19]
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Elvio Gilberto Amparore, Susanna Donatelli:
alphaFactory: A Tool for Generating the Alpha Factors of General Distributions - (Tool Paper). QEST 2017: 36-51
[c18]
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Elvio Gilberto Amparore, Susanna Donatelli:
Analysis of Non-Markovian Systems in GreatSPN. InfQ@VALUETOOLS 2017: 127-138
2016
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Elvio Gilberto Amparore, Susanna Donatelli:
Optimal Aggregation of Components for the Solution of Markov Regenerative Processes. QEST 2016: 19-34
[c16]
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Elvio Gilberto Amparore, Susanna Donatelli:
Efficient solution of extended Multiple-Phased Systems. VALUETOOLS 2016
2015
[c15]
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Elvio Gilberto Amparore:
Reengineering the Editor of the GreatSPN Framework. PNSE @ Petri Nets 2015: 153-170
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Marco Beccuti, Elvio Gilberto Amparore, Susanna Donatelli, Dimitri Scheftelowitsch, Peter Buchholz, Giuliana Franceschinis:
Markov Decision Petri Nets with Uncertainty. EPEW 2015: 177-192
2014
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Elvio Gilberto Amparore, Marco Beccuti, Susanna Donatelli:
(Stochastic) Model Checking in GreatSPN. Petri Nets 2014: 354-363
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Elvio Gilberto Amparore, Marco Beccuti, Simona Collina, Flavia De Simone, Susanna Donatelli, Fabio Tango:
Cognitive Systems in Intelligent Vehicles - A New Frontier for Autonomous Driving. ICINCO (2) 2014: 817-822
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Elvio Gilberto Amparore, Peter Buchholz, Susanna Donatelli:
A Structured Solution Approach for Markov Regenerative Processes. QEST 2014: 9-24
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Elvio Gilberto Amparore:
A New GreatSPN GUI for GSPN Editing and CSLTA Model Checking. QEST 2014: 170-173
2013
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Elvio Gilberto Amparore, Susanna Donatelli:
A component-based solution for reducible Markov regenerative processes. Perform. Evaluation 70(6): 400-422 (2013)
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Elvio Gilberto Amparore, Paolo Ballarini, Marco Beccuti, Susanna Donatelli, Giuliana Franceschinis:
Expressing and Computing Passage Time Measures of GSPN Models with HASL. Petri Nets 2013: 110-129
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Elvio Gilberto Amparore, Susanna Donatelli:
Improving and Assessing the Efficiency of the MC4CSLTA Model Checker. EPEW 2013: 206-220
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Elvio Gilberto Amparore, Benoît Barbot, Marco Beccuti, Susanna Donatelli, Giuliana Franceschinis:
Simulation-based verification of hybrid automata stochastic logic formulas for stochastic symmetric nets. SIGSIM-PADS 2013: 253-264
2012
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Elvio Gilberto Amparore, Susanna Donatelli:
Backward Solution of Markov Chains and Markov Regenerative Processes: Formalization and Applications. PASM/PDMC 2012: 7-26
2011
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Elvio Gilberto Amparore, Susanna Donatelli:
Revisiting the matrix-free solution of Markov regenerative processes. Numer. Linear Algebra Appl. 18(6): 1067-1083 (2011)
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Elvio Gilberto Amparore, Marco Beccuti, Susanna Donatelli, Giuliana Franceschinis:
Probe Automata for Passage Time Specification. QEST 2011: 101-110
2010
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Elvio Gilberto Amparore, Susanna Donatelli:
Model checking CSL^TA with Deterministic and Stochastic Petri Nets. DSN 2010: 605-614
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Elvio Gilberto Amparore, Susanna Donatelli:
A Component-Based Solution Method for Non-ergodic Markov Regenerative Processes. EPEW 2010: 236-251
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Elvio Gilberto Amparore, Susanna Donatelli:
DSPN-Tool: A New DSPN and GSPN Solver for GreatSPN. QEST 2010: 79-80
[c1]
- view
  authority control:
- export record
  dblp key:
  - conf/qest/AmparoreD10a
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/qest/AmparoreD10a
Elvio Gilberto Amparore, Susanna Donatelli:
MC4CSLTA: An Efficient Model Checking Tool for CSLTA. QEST 2010: 153-154

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