Leandro L. Minku
According to our database1,
Leandro L. Minku
authored at least 86 papers
between 2010 and 2020.
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Bibliography
2020
Conference Highlights: JIT Fault Prevention, Motivated Modeling, Security in Requirements, and Improving Team Performance.
IEEE Softw., 2020
Knowl. Based Syst., 2020
J. Syst. Softw., 2020
Guest Editorial: Special Issue on Predictive Models and Data Analytics in Software Engineering.
Empir. Softw. Eng., 2020
Better software analytics via "DUO": Data mining algorithms using/used-by optimizers.
Empir. Softw. Eng., 2020
Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
An investigation of cross-project learning in online just-in-time software defect prediction.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Software Effort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling.
ACM Trans. Softw. Eng. Methodol., 2019
IEEE Softw., 2019
A novel online supervised hyperparameter tuning procedure applied to cross-company software effort estimation.
Empir. Softw. Eng., 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Class imbalance evolution and verification latency in just-in-time software defect prediction.
Proceedings of the 41st International Conference on Software Engineering, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Softw. Qual. J., 2018
IEEE Softw., 2018
A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling.
Inf. Sci., 2018
Proceedings of the Fifth International Conference on Social Networks Analysis, 2018
A novel automated approach for software effort estimation based on data augmentation.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018
Proceedings of the 15th International Conference on Mining Software Repositories, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018
2017
IEEE Softw., 2017
Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17).
CoRR, 2017
Which models of the past are relevant to the present? A software effort estimation approach to exploiting useful past models.
Autom. Softw. Eng., 2017
Proceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering, 2017
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, 2017
2016
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016
IEEE Trans. Software Eng., 2016
IEEE Trans. Knowl. Data Eng., 2016
IEEE Softw., 2016
IEEE Softw., 2016
Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis.
Soft Comput., 2016
Prog. Artif. Intell., 2016
Proceedings of the The 12th International Conference on Predictive Models and Data Analytics in Software Engineering, 2016
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Software Architecture - 10th European Conference, 2016
Proceedings of the Perspectives on Data Science for Software Engineering, 2016
Proceedings of the Perspectives on Data Science for Software Engineering, 2016
2015
IEEE Trans. Knowl. Data Eng., 2015
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation.
J. Syst. Softw., 2015
4th International Workshop on Realizing AI Synergies in Software Engineering (RAISE 2015).
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015
Proceedings of the 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2015
An evolutionary algorithm for performance optimization at software architecture level.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis.
IEEE Trans. Software Eng., 2014
NII Shonan Meet. Rep., 2014
Proceedings of the Search-Based Software Engineering - 6th International Symposium, 2014
Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the 10th International Conference on Predictive Models in Software Engineering, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services, 2014
Proceedings of the 36th International Conference on Software Engineering, 2014
2013
ACM Trans. Softw. Eng. Methodol., 2013
Inf. Softw. Technol., 2013
Int. J. Comput. Intell. Appl., 2013
Genet. Program. Evolvable Mach., 2013
The impact of parameter tuning on software effort estimation using learning machines.
Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013
An analysis of multi-objective evolutionary algorithms for training ensemble models based on different performance measures in software effort estimation.
Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 35th International Conference on Software Engineering, 2013
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013
2012
IEEE Trans. Knowl. Data Eng., 2012
Proceedings of the 8th International Conference on Predictive Models in Software Engineering, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
A principled evaluation of ensembles of learning machines for software effort estimation.
Proceedings of the 7th International Conference on Predictive Models in Software Engineering, 2011
2010
The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift.
IEEE Trans. Knowl. Data Eng., 2010