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Ignacio Arnaldo
Researcher at Massachusetts Institute of Technology
Publications - 25
Citations - 604
Ignacio Arnaldo is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Genetic programming & Evolutionary algorithm. The author has an hindex of 9, co-authored 23 publications receiving 503 citations. Previous affiliations of Ignacio Arnaldo include Complutense University of Madrid.
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Proceedings ArticleDOI
AI^2: Training a Big Data Machine to Defend
TL;DR: The system presents four key features: a big data behavioral analytics platform, an outlier detection system, a mechanism to obtain feedback from security analysts, and a supervised learning module, which is capable of learning to defend against unseen attacks.
Proceedings ArticleDOI
Multiple regression genetic programming
TL;DR: MRGP's output method is shown to be superior to the output of program execution and it represents a practical, cost neutral, improvement to GP.
Proceedings ArticleDOI
Building Predictive Models via Feature Synthesis
TL;DR: Evolutionary Feature Synthesis is a regression method that generates readable, nonlinear models of small to medium size datasets in seconds and outperforms both linear methods and Multiple Regression Genetic Programming, up to now the best regression tool based on evolutionary computation.
Journal ArticleDOI
FlexGP: Cloud-Based Ensemble Learning with Genetic Programming for Large Regression Problems
Journal ArticleDOI
Matching island topologies to problem structure in parallel evolutionary algorithms
TL;DR: This work verifies a clear and systematic analysis of a large set of population structures based on the well known β-graphs and NK-landscape problems and analyzes the performance of variable-topology EAs on a dynamic real-world problem, the Multi-Skills Call Centre.