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Ignacio Arnaldo
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2020 – today
- 2023
- [i2]Ignacio Arnaldo, Alfredo Cuesta-Infante, J. Manuel Colmenar, José L. Risco-Martín, José L. Ayala:
Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA. CoRR abs/2303.03779 (2023) - 2022
- [j8]Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu
, Laure Berti-Équille, Kalyan Veeramachaneni:
The Need for Interpretable Features: Motivation and Taxonomy. SIGKDD Explor. 24(1): 1-13 (2022) - [i1]Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni:
The Need for Interpretable Features: Motivation and Taxonomy. CoRR abs/2202.11748 (2022)
2010 – 2019
- 2019
- [j7]Ignacio Arnaldo, Kalyan Veeramachaneni:
The Holy Grail of "Systems for Machine Learning": Teaming humans and machine learning for detecting cyber threats. SIGKDD Explor. 21(2): 39-47 (2019) - [c11]Ignacio Arnaldo, Kalyan Veeramachaneni, Mei Lam:
eX2: a framework for interactive anomaly detection. IUI Workshops 2019 - [c10]Ankit Arun, Ignacio Arnaldo:
Shooting the moving target: machine learning in cybersecurity. OpML 2019: 13-14 - 2018
- [c9]Ignacio Arnaldo, Ankit Arun, Sumeeth Kyathanahalli, Kalyan Veeramachaneni:
Acquire, adapt, and anticipate: continuous learning to block malicious domains. IEEE BigData 2018: 1891-1898 - 2017
- [c8]Ignacio Arnaldo, Alfredo Cuesta-Infante
Learning Representations for Log Data in Cybersecurity. CSCML 2017: 250-268 - 2016
- [c7]Kalyan Veeramachaneni, Ignacio Arnaldo, Vamsi Korrapati, Constantinos Bassias, Ke Li:
AI^2: Training a Big Data Machine to Defend. BigDataSecurity/HPSC/IDS 2016: 49-54 - [c6]Ignacio Arnaldo, Erik Hemberg, Una-May O'Reilly:
Multi-Line Batch Scheduling by Similarity. GECCO (Companion) 2016: 921-927 - 2015
- [j6]Ignacio Arnaldo, Kalyan Veeramachaneni, Andrew Song, Una-May O'Reilly:
Bring Your Own Learner: A Cloud-Based, Data-Parallel Commons for Machine Learning. IEEE Comput. Intell. Mag. 10(1): 20-32 (2015) - [j5]Kalyan Veeramachaneni, Ignacio Arnaldo, Owen Derby, Una-May O'Reilly:
FlexGP - Cloud-Based Ensemble Learning with Genetic Programming for Large Regression Problems. J. Grid Comput. 13(3): 391-407 (2015) - [c5]Ignacio Arnaldo, Una-May O'Reilly, Kalyan Veeramachaneni:
Building Predictive Models via Feature Synthesis. GECCO 2015: 983-990 - 2014
- [j4]Iván Contreras
Blind optimisation problem instance classification via enhanced universal similarity metric. Memetic Comput. 6(4): 263-276 (2014) - [c4]Ignacio Arnaldo, Kalyan Veeramachaneni, Una-May O'Reilly:
Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets. EuroGP 2014: 13-24 - [c3]Ignacio Arnaldo, Krzysztof Krawiec
Multiple regression genetic programming. GECCO 2014: 879-886 - 2013
- [j3]Ignacio Arnaldo, Alfredo Cuesta-Infante
Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA. Concurr. Comput. Pract. Exp. 25(8): 1089-1103 (2013) - [j2]Ignacio Arnaldo, Iván Contreras
Matching island topologies to problem structure in parallel evolutionary algorithms. Soft Comput. 17(7): 1209-1225 (2013) - 2012
- [j1]Ignacio Arnaldo, José Luis Risco-Martín
Power profiling-guided floorplanner for 3D multi-processor systems-on-chip. IET Circuits Devices Syst. 6(5): 322-329 (2012) - [c2]Ignacio Arnaldo, Alessandro Vincenzi, José Luis Ayala, José Luis Risco-Martín, José Ignacio Hidalgo
Fast and scalable temperature-driven floorplan design in 3D MPSoCs. LATW 2012: 1-6 - 2011
- [c1]Ignacio Arnaldo, José L. Risco-Martín
Power Profiling-Guided Floorplanner for Thermal Optimization in 3D Multiprocessor Architectures. PATMOS 2011: 11-21
Coauthor Index
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