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Florent Avellaneda
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Journal Articles
- 2024
- [j4]Omer Nguena Timo, Tianqi Xiao, Florent Avellaneda, Yasir Malik, Stefan D. Bruda:
Evaluating trustworthiness of decision tree learning algorithms based on equivalence checking. AI Ethics 4(1): 37-46 (2024) - [j3]Dimitri Prestat
, Naouel Moha
, Roger Villemaire
, Florent Avellaneda
:
DynAMICS: A Tool-Based Method for the Specification and Dynamic Detection of Android Behavioral Code Smells. IEEE Trans. Software Eng. 50(4): 765-784 (2024) - 2019
- [j2]Alexandre Petrenko
, Florent Avellaneda
, Roland Groz, Catherine Oriat:
FSM inference and checking sequence construction are two sides of the same coin. Softw. Qual. J. 27(2): 651-674 (2019) - 2015
- [j1]Florent Avellaneda
, Rémi Morin:
Catching a Structural Bug with a Flower. Fundam. Informaticae 140(1): 61-87 (2015)
Conference and Workshop Papers
- 2024
- [c16]Florent Avellaneda, Roger Villemaire:
Delegation-Relegation for Boolean Matrix Factorization. AAAI 2024: 20632-20639 - 2022
- [c15]Florent Avellaneda, Roger Villemaire:
Undercover Boolean Matrix Factorization with MaxSAT. AAAI 2022: 3672-3681 - 2020
- [c14]Florent Avellaneda:
Efficient Inference of Optimal Decision Trees. AAAI 2020: 3195-3202 - [c13]Fehmi Jaafar, Florent Avellaneda, El Hachemi Alikacem:
Demystifying the Cyber Attribution: An Exploratory Study. DASC/PiCom/CBDCom/CyberSciTech 2020: 35-40 - 2019
- [c12]Omer Nguena Timo, Dimitri Prestat, Florent Avellaneda
:
Fault Detection in Timed FSM with Timeouts by SAT-Solving. QRS 2019: 326-333 - [c11]Alexandre Petrenko
, Florent Avellaneda
:
Learning and Adaptive Testing of Nondeterministic State Machines. QRS 2019: 362-373 - [c10]Florent Avellaneda, Alexandre Petrenko
:
Learning Minimal DFA: Taking Inspiration from RPNI to Improve SAT Approach. SEFM 2019: 243-256 - [c9]Alexandre Petrenko
, Florent Avellaneda:
Learning Communicating State Machines. TAP@FM 2019: 112-128 - 2018
- [c8]Florent Avellaneda, Alexandre Petrenko
:
FSM Inference from Long Traces. FM 2018: 93-109 - [c7]Florent Avellaneda
, Alexandre Petrenko:
Inferring DFA without Negative Examples. ICGI 2018: 17-29 - [c6]Alexandre Petrenko
, Florent Avellaneda:
Conformance Testing and Inference of Embedded Components. ICTSS 2018: 119-134 - 2017
- [c5]Alexandre Petrenko
, Florent Avellaneda, Roland Groz, Catherine Oriat:
From Passive to Active FSM Inference via Checking Sequence Construction. ICTSS 2017: 126-141 - 2016
- [c4]Florent Avellaneda, Silvano Dal-Zilio
, Jean-Baptiste Raclet:
Solving Language Equations Using Flanked Automata. ATVA 2016: 106-121 - 2014
- [c3]Florent Avellaneda, Rémi Morin:
Exhibition of a Structural Bug with Wings. Petri Nets 2014: 253-272 - 2013
- [c2]Florent Avellaneda
, Rémi Morin:
Checking Partial-Order Properties of Vector Addition Systems with States. ACSD 2013: 100-109 - 2011
- [c1]Florent Avellaneda
, Rémi Morin:
Checking Non-divergence, Channel-Bound and Global Cooperation Using SAT-Solvers. ACSD 2011: 19-28
Data and Artifacts
- 2022
- [d1]Dimitri Prestat, Naouel Moha, Roger Villemaire, Florent Avellaneda:
DynAMICS: A tool-based method for the specification and dynamic detection of Android behavioural code smells. IEEE DataPort, 2022
Informal and Other Publications
- 2021
- [i5]Florent Avellaneda, Roger Villemaire:
Boolean Matrix Factorization with SAT and MaxSAT. CoRR abs/2106.10105 (2021) - 2020
- [i4]Tianqi Xiao, Omer Nguena Timo, Florent Avellaneda, Yasir Malik, Stefan D. Bruda:
An Approach to Evaluating Learning Algorithms for Decision Trees. CoRR abs/2010.13665 (2020) - 2019
- [i3]Florent Avellaneda:
Learning Optimal Decision Trees from Large Datasets. CoRR abs/1904.06314 (2019) - 2018
- [i2]Omer Nguena Timo, Dimitri Prestat, Florent Avellaneda:
Fault Detection for Timed FSM with Timeouts by Constraint Solving. CoRR abs/1811.11119 (2018) - 2015
- [i1]Florent Avellaneda, Silvano Dal-Zilio, Jean-Baptiste Raclet:
On the Complexity of Flanked Finite State Automata. CoRR abs/1509.06501 (2015)
Coauthor Index
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