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A survey on semi-supervised learning

Machine learning, 2020-02, Vol.109 (2), p.373-440

2020

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Leveraging TSP Solver Complementarity through Machine Learning

Evolutionary computation, 2018-12, Vol.26 (4), p.597-620

2018

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Stochastic Local Search: Foundations and Applications

1, 2004

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RNA STRAND: the RNA secondary structure and statistical analysis database

BMC bioinformatics, 2008-08, Vol.9 (1), p.340-340, Article 340

2008

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Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems

IEEE transactions on evolutionary computation, 2022-12, Vol.26 (6), p.1351-1364

2022

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Rapid cell population identification in flow cytometry data

Cytometry. Part A, 2011-01, Vol.79A (1), p.6-13

2011

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An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem

BMC bioinformatics, 2005-02, Vol.6 (1), p.30-30, Article 30

2005

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Analysis of energy-based algorithms for RNA secondary structure prediction

BMC bioinformatics, 2012-02, Vol.13 (1), p.22-22, Article 22

2012

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Automated Machine Learning for COVID-19 Forecasting

IEEE access, 2022, Vol.10, p.94718-94737

2022

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Automated Algorithm Selection: Survey and Perspectives

Evolutionary computation, 2019-03, Vol.27 (1), p.3-45

2019

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Computational approaches for RNA energy parameter estimation

RNA (Cambridge), 2010-12, Vol.16 (12), p.2304-2318

2010

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A replica exchange Monte Carlo algorithm for protein folding in the HP model

BMC bioinformatics, 2007-09, Vol.8 (1), p.342-342, Article 342

2007

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HotKnots: heuristic prediction of RNA secondary structures including pseudoknots

RNA (Cambridge), 2005-10, Vol.11 (10), p.1494-1504

2005

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Efficient parameter estimation for RNA secondary structure prediction

Bioinformatics, 2007-07, Vol.23 (13), p.i19-i28

2007

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Analysing differences between algorithm configurations through ablation

Journal of heuristics, 2016-08, Vol.22 (4), p.431-458

2016

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Algorithm runtime prediction: Methods & evaluation

Artificial intelligence, 2014-01, Vol.206, p.79-111

2014

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Efficient benchmarking of algorithm configurators via model-based surrogates

Machine learning, 2018, Vol.107 (1), p.15-41

2018

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RchyOptimyx: Cellular hierarchy optimization for flow cytometry

Cytometry. Part A, 2012-12, Vol.81A (12), p.1022-1030

2012

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AutoFolio: An Automatically Configured Algorithm Selector

The Journal of artificial intelligence research, 2015-01, Vol.53, p.745-778

2015

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SATenstein: Automatically building local search SAT solvers from components

Artificial intelligence, 2016-03, Vol.232, p.20-42

2016

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Performance robustness of AI planners in the 2014 International Planning Competition

Ai communications, 2018-01, Vol.31 (6), p.445-463

2018

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The 13th International Automated Negotiating Agent Competition Challenges and Results

Recent Advances in Agent-Based Negotiation: Applications and Competition Challenges, 2023, Vol.1092, p.87-101

2023

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On the empirical scaling of run-time for finding optimal solutions to the travelling salesman problem

European journal of operational research, 2014-10, Vol.238 (1), p.87-94

2014

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Computational RNA secondary structure design: empirical complexity and improved methods

BMC bioinformatics, 2007-01, Vol.8 (1), p.34-34, Article 34

2007

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MultiETSC: automated machine learning for early time series classification

Data mining and knowledge discovery, 2021-11, Vol.35 (6), p.2602-2654

2021

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A survey on semi-supervised learning

Leveraging TSP Solver Complementarity through Machine Learning

Stochastic Local Search: Foundations and Applications

RNA STRAND: the RNA secondary structure and statistical analysis database

Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems

Rapid cell population identification in flow cytometry data

An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem

Analysis of energy-based algorithms for RNA secondary structure prediction

Automated Machine Learning for COVID-19 Forecasting

Automated Algorithm Selection: Survey and Perspectives

Computational approaches for RNA energy parameter estimation

A replica exchange Monte Carlo algorithm for protein folding in the HP model

HotKnots: heuristic prediction of RNA secondary structures including pseudoknots

Efficient parameter estimation for RNA secondary structure prediction

Analysing differences between algorithm configurations through ablation

Algorithm runtime prediction: Methods & evaluation

Efficient benchmarking of algorithm configurators via model-based surrogates

RchyOptimyx: Cellular hierarchy optimization for flow cytometry

AutoFolio: An Automatically Configured Algorithm Selector

SATenstein: Automatically building local search SAT solvers from components

Performance robustness of AI planners in the 2014 International Planning Competition

The 13th International Automated Negotiating Agent Competition Challenges and Results

On the empirical scaling of run-time for finding optimal solutions to the travelling salesman problem

Computational RNA secondary structure design: empirical complexity and improved methods

MultiETSC: automated machine learning for early time series classification

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