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Guilherme Perin, Łukasz Chmielewski, Stjepan Picek (2020), Strength in Numbers: Improving Generalization with Ensembles in Machine Learning-based Profiled Side-channel Analysis, In IACR Transactions on Cryptographic Hardware and Embedded Systems Volume 2020 p.337-364.

Leo Weissbart, Łukasz Chmielewski, Stjepan Picek, Lejla Batina (2020), Systematic Side-Channel Analysis of Curve25519 with Machine Learning, In Journal of Hardware and Systems Security Volume 4 p.314–328.

Kristín Tómasdóttir, Maurício Aniche, Arie van Deursen (2020), The Adoption of JavaScript Linters in Practice: A Case Study on ESLint, In IEEE Transactions on Software Engineering Volume 46 p.863-891.

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Luca Manzoni, Domagoj Jakobovic, Luca Mariot, Stjepan Picek, Mauro Castelli (2020), Towards an evolutionary-based approach for natural language processing, In GECCO 2020 p.985-993, Association for Computing Machinery (ACM).

Karlo Knezevic, Stjepan Picek, Domagoj Jakobovic, Julio Hernandez-Castro (2020), What Is Your MOVE: Modeling Adversarial Network Environments, Pedro A. Castillo, Juan Luis Jiménez Laredo, Francisco Fernández de Vega (Eds.), In Applications of Evolutionary Computation p.260-275, Springer.

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Stjepan Picek, Annelie Heuser, Alan Jovic, Lejla Batina (2019), A Systematic Evaluation of Profiling Through Focused Feature Selection, In IEEE Transactions on Very Large Scale Integration (VLSI) Systems Volume 27 p.2802-2815.

Domagoj Jakobovic, Stjepan Picek, Marcella S.R. Martins, Markus Wagner (2019), A characterisation of S-box fitness landscapes in cryptography, In GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference p.285-293, Association for Computing Machinery (ACM).