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Computational Science – ICCS 2023; Lecture Notes in Computer Science ,
1
Balancing Agents for Mining Imbalanced Multiclass Datasets ..:
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Computational Collective Intelligence; Lecture Notes in Computer Science ,
2
Mining Multiple Class Imbalanced Datasets Using a Specializ..:
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Computational Science – ICCS 2022; Lecture Notes in Computer Science ,
3
Collective of Base Classifiers for Mining Imbalanced Data:
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Computational Collective Intelligence; Lecture Notes in Computer Science ,
4
Oversampling for Mining Imbalanced Datasets: Taxonomy and P..:
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Computational Collective Intelligence; Lecture Notes in Computer Science ,
5
Imbalanced Data Mining Using Oversampling and Cellular GEP ..:
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Computational Collective Intelligence; Lecture Notes in Computer Science ,
6
A Population-Based Framework for Solving the Job Shop Sched..:
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Computational Science – ICCS 2021; Lecture Notes in Computer Science ,
7
The Power of a Collective: Team of Agents Solving Instances..:
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Intelligent Decision Technologies; Smart Innovation, Systems and Technologies ,
8
Solving Job Shop Scheduling with Parallel Population-Based ..:
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Intelligent Decision Technologies 2019; Smart Innovation, Systems and Technologies ,
9
Apache Spark as a Tool for Parallel Population-Based Optimi..:
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Intelligent Decision Technologies 2019; Smart Innovation, Systems and Technologies ,
10
Gene Expression Programming Classifier with Concept Drift D..:
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Computational Collective Intelligence; Lecture Notes in Computer Science ,
11
An Approach to Imbalanced Data Classification Based on Inst..:
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Computational Collective Intelligence; Lecture Notes in Computer Science ,
12
Current Trends in the Population-Based Optimization:
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Intelligent Decision Technologies 2019; Smart Innovation, Systems and Technologies ,
13
Experimental Evaluation of A-Teams Solving Resource Availab..:
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Lecture Notes in Computer Science; Artificial Intelligence XXXV ,
14
GEP-Based Ensemble Classifier with Drift-Detection:
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Computational Collective Intelligence; Lecture Notes in Computer Science ,
15