Ignacio Arnaldo
Ignacio Arnaldo
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Cited by
Cited by
AI^2: Training a Big Data Machine to Defend
KL K. Veeramachaneni, I. Arnaldo, V. Korrapati, C. Bassias
2016 IEEE 2nd International Conference on Big Data Security on Cloud …, 2016
Multiple regression genetic programming
I Arnaldo, K Krawiec, UM O'Reilly
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
Building predictive models via feature synthesis
I Arnaldo, UM O'Reilly, K Veeramachaneni
Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015
Method and system for employing graph analysis for detecting malicious activity in time evolving networks
M Lem, I Arnaldo, A Arun, K Li, C Bassias
US Patent 11,146,578, 2021
Method and system for training a big data machine to defend
U Veeramachaneni, V Korrapati, C Bassias, I Arnaldo, K Li
US Patent 9,904,893, 2018
FlexGP: Cloud-Based Ensemble Learning with Genetic Programming for Large Regression Problems
K Veeramachaneni, I Arnaldo, O Derby, UM O’Reilly
Journal of Grid Computing, 1-17, 2014
Bring your own learner: A cloud-based, data-parallel commons for machine learning
I Arnaldo, K Veeramachaneni, A Song, UM O'Reilly
IEEE Computational Intelligence Magazine 10 (1), 20-32, 2015
Learning representations for log data in cybersecurity
I Arnaldo, A Cuesta-Infante, A Arun, M Lam, C Bassias, ...
International conference on cyber security cryptography and machine learning …, 2017
Matching island topologies to problem structure in parallel evolutionary algorithms
I Arnaldo, I Contreras, D Millán-Ruiz, JI Hidalgo, N Krasnogor
Soft Computing 17 (7), 1209-1225, 2013
Blind optimisation problem instance classification via enhanced universal similarity metric
I Contreras, I Arnaldo, N Krasnogor, JI Hidalgo
Memetic Computing 6 (4), 263-276, 2014
Flash: A GP-GPU ensemble learning system for handling large datasets
I Arnaldo, K Veeramachaneni, UM O’Reilly
European Conference on Genetic Programming, 13-24, 2014
Power profiling-guided floorplanner for thermal optimization in 3D multiprocessor architectures
I Arnaldo, JL Risco-Martín, JL Ayala, JI Hidalgo
International Workshop on Power and Timing Modeling, Optimization and …, 2011
eX2: a framework for interactive anomaly detection.
I Arnaldo, K Veeramachaneni, M Lam
IUI Workshops, 2019
Fast and scalable temperature-driven floorplan design in 3D MPSoCs
I Arnaldo, A Vicenzi, JL Ayala, JL Risco, JI Hidalgo, M Ruggiero, ...
2012 13th Latin American Test Workshop (LATW), 1-6, 2012
Method and system for generating synthetic feature vectors from real, labelled feature vectors in artificial intelligence training of a big data machine to defend
V Chen, I Arnaldo, C Bassias
US Patent 10,848,508, 2020
The Holy Grail of "Systems for Machine Learning": Teaming humans and machine learning for detecting cyber threats
I Arnaldo, K Veeramachaneni
ACM SIGKDD Explorations Newsletter 21 (2), 39-47, 2019
Acquire, adapt, and anticipate: continuous learning to block malicious domains
I Arnaldo, A Arun, S Kyathanahalli, K Veeramachaneni
2018 IEEE international conference on Big Data (Big Data), 1891-1898, 2018
Boosting the 3D thermal‐aware floorplanning problem through a master‐worker parallel MOEA
I Arnaldo, A Cuesta‐Infante, J Manuel Colmenar, JL Risco‐Martín, ...
Concurrency and Computation: Practice and Experience 25 (8), 1089-1103, 2013
Evolutionary approaches to solve the 3D thermal-aware floorplanning problem using heterogeneous processors
I Arnaldo
Universidad Complutense de Madrid, 2011
The Need for Interpretable Features: Motivation and Taxonomy
A Zytek, I Arnaldo, D Liu, L Berti-Equille, K Veeramachaneni
arXiv preprint arXiv:2202.11748, 2022
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