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Using convolutional neural networks for classification of malware represented as images

Journal of Computer Virology and Hacking Techniques, 2019-03, Vol.15 (1), p.15-28

2019

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Algorithms for Weighted Boolean Optimization

Theory and Applications of Satisfiability Testing - SAT 2009, p.495-508

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Iterative and core-guided MaxSAT solving: A survey and assessment

Constraints : an international journal, 2013-10, Vol.18 (4), p.478-534

2013

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Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing

IEEE access, 2024, Vol.12, p.61152-61162

2024

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The rise of machine learning for detection and classification of malware: Research developments, trends and challenges

Journal of network and computer applications, 2020-03, Vol.153, p.102526, Article 102526

2020

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Weighted argumentation for analysis of discussions in Twitter

International journal of approximate reasoning, 2017-06, Vol.85, p.21-35

2017

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Argumentation Reasoning with Graph Isomorphism Networks for Reddit Conversation Analysis

International journal of computational intelligence systems, 2022-10, Vol.15 (1), p.1-12, Article 86

2022

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HYDRA: A multimodal deep learning framework for malware classification

Computers & security, 2020-08, Vol.95, p.101873-16, Article 101873

2020

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Fusing feature engineering and deep learning: A case study for malware classification

Expert systems with applications, 2022-11, Vol.207, p.117957, Article 117957

2022

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Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning

Computers & security, 2022-02, Vol.113, p.102543, Article 102543

2022

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Auditing static machine learning anti-Malware tools against metamorphic attacks

Computers & security, 2021-03, Vol.102, p.102159-32, Article 102159

2021

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An End-to-End Deep Learning Architecture for Classification of Malware’s Binary Content

Artificial Neural Networks and Machine Learning – ICANN 2018, p.383-391

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An argumentative approach for discovering relevant opinions in Twitter with probabilistic valued relationships

Pattern recognition letters, 2018-04, Vol.105, p.191-199

2018

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Algorithms for Maximum Satisfiability using Unsatisfiable Cores

2008 Design, Automation and Test in Europe, 2008, p.408-413

2008

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Blacklist muti-objective genetic algorithm for energy saving in heterogeneous environments

The Journal of supercomputing, 2017, Vol.73 (1), p.354-369

2017

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New Inference Rules for Max-SAT

The Journal of artificial intelligence research, 2007-01, Vol.30, p.321-359

2007

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Maximal falsifiability

Ai communications, 2016-01, Vol.29 (2), p.351

2016

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Ontologies About Human Behavior: A Review of Knowledge Modeling Systems

European psychologist, 2017-07, Vol.22 (3), p.180-197

2017

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Maximal falsifiability: Definitions, algorithms and applications

Ai communications, 2016-03, Vol.29 (2), p.351-370

2016

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Feature Necessity & Relevancy in ML Classifier Explanations

Tools and Algorithms for the Construction and Analysis of Systems: 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, Paris, France, April 22–27, 2023, Proceedings, Part I, 2023, Vol.13993 (part 1), p.167-186

2023

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On the performance of MaxSAT and MinSAT solvers on 2SAT-MaxOnes

Annals of mathematics and artificial intelligence, 2016-06, Vol.77 (1-2), p.43-66

2016

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Resolution-based lower bounds in MaxSAT

Constraints : an international journal, 2010-10, Vol.15 (4), p.456-484

2010

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Exploiting Unit Propagation to Compute Lower Bounds in Branch and Bound Max-SAT Solvers

Lecture notes in computer science, 2005, p.403-414

1ère éd, 2005

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The usefulness of TV medical dramas for teaching clinical pharmacology: A content analysis of House, M.D

Educación médica, 2019-09, Vol.20 (5), p.295-303

2019

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An efficient solver for weighted Max-SAT

Journal of global optimization, 2008-05, Vol.41 (1), p.61-73

2008

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Using convolutional neural networks for classification of malware represented as images

Algorithms for Weighted Boolean Optimization

Iterative and core-guided MaxSAT solving: A survey and assessment

Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing

The rise of machine learning for detection and classification of malware: Research developments, trends and challenges

Weighted argumentation for analysis of discussions in Twitter

Argumentation Reasoning with Graph Isomorphism Networks for Reddit Conversation Analysis

HYDRA: A multimodal deep learning framework for malware classification

Fusing feature engineering and deep learning: A case study for malware classification

Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning

Auditing static machine learning anti-Malware tools against metamorphic attacks

An End-to-End Deep Learning Architecture for Classification of Malware’s Binary Content

An argumentative approach for discovering relevant opinions in Twitter with probabilistic valued relationships

Algorithms for Maximum Satisfiability using Unsatisfiable Cores

Blacklist muti-objective genetic algorithm for energy saving in heterogeneous environments

New Inference Rules for Max-SAT

Maximal falsifiability

Ontologies About Human Behavior: A Review of Knowledge Modeling Systems

Maximal falsifiability: Definitions, algorithms and applications

Feature Necessity & Relevancy in ML Classifier Explanations

On the performance of MaxSAT and MinSAT solvers on 2SAT-MaxOnes

Resolution-based lower bounds in MaxSAT

Exploiting Unit Propagation to Compute Lower Bounds in Branch and Bound Max-SAT Solvers

The usefulness of TV medical dramas for teaching clinical pharmacology: A content analysis of House, M.D

An efficient solver for weighted Max-SAT

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