Leandro L. Minku
According to our database1, Leandro L. Minku
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Bibliography
2018
A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling.
Inf. Sci., 2018
A Systematic Study of Cross-Project Defect Prediction With Meta-Learning.
CoRR, 2018
Data-Driven Search-based Software Engineering.
CoRR, 2018
2017
Requirements, Human Values, and the Development Technology Landscape.
IEEE Software, 2017
Ensemble learning for data stream analysis: A survey.
Information Fusion, 2017
A Systematic Study of Online Class Imbalance Learning with Concept Drift.
CoRR, 2017
Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17).
CoRR, 2017
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation.
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
Clustering Dycom: An Online Cross-Company Software Effort Estimation Study.
Proceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering, 2017
Effort and Cost in Software Engineering: A Comparison of Two Industrial Data Sets.
Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, 2017
2016
Common Techniques for Self-awareness and Self-expression.
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016
Knowledge Representation and Modelling: Structures and Trade-Offs.
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016
Dynamic Software Project Scheduling through a Proactive-Rescheduling Method.
IEEE Trans. Software Eng., 2016
Online Ensemble Learning of Data Streams with Gradually Evolved Classes.
IEEE Trans. Knowl. Data Eng., 2016
Regression Testing, Spoken Language, Crash-Inducing Commits, UML, and Legal Policy.
IEEE Software, 2016
Product Lines, Energy Conservation, Use Cases, Agile Development, and Infotainment.
IEEE Software, 2016
Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis.
Soft Comput., 2016
Data mining for software engineering and humans in the loop.
Progress in AI, 2016
On the Terms Within- and Cross-Company in Software Effort Estimation.
Proceedings of the The 12th International Conference on Predictive Models and Data Analytics in Software Engineering, 2016
An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
FEDD: Feature Extraction for Explicit Concept Drift Detection in time series.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Dealing with Multiple Classes in Online Class Imbalance Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Diversifying Software Architecture for Sustainability: A Value-Based Perspective.
Proceedings of the Software Architecture - 10th European Conference, 2016
2015
Resampling-Based Ensemble Methods for Online Class Imbalance Learning.
IEEE Trans. Knowl. Data Eng., 2015
Software Quality, Energy Awareness, and More.
IEEE Software, 2015
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation.
Journal of Systems and Software, 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
The Art and Science of Analyzing Software Data; Quantitative Methods.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015
How to Make Best Use of Cross-Company Data for Web Effort Estimation?
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
Computational Intelligence for Software Engineering (NII Shonan Meeting 2014-13).
NII Shonan Meet. Rep., 2014
The Handbook of Engineering Self-Aware and Self-Expressive Systems.
CoRR, 2014
Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases.
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
The potential benefit of relevance vector machine to software effort estimation.
Proceedings of the 10th International Conference on Predictive Models in Software Engineering, 2014
A multi-objective ensemble method for online class imbalance learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Measuring Energy Consumption for Web Service Product Configuration.
Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services, 2014
How to make best use of cross-company data in software effort estimation?
Proceedings of the 36th International Conference on Software Engineering, 2014
2013
Software effort estimation as a multiobjective learning problem.
ACM Trans. Softw. Eng. Methodol., 2013
Ensembles and locality: Insight on improving software effort estimation.
Information & Software Technology, 2013
Online Class Imbalance Learning and its Applications in Fault Detection.
International Journal of Computational Intelligence and Applications, 2013
Learning aesthetic judgements in evolutionary art systems.
Genetic Programming and Evolvable Machines, 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
Concept drift detection for online class imbalance learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Data science for software engineering.
Proceedings of the 35th International Conference on Software Engineering, 2013
A learning framework for online class imbalance learning.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013
2012
DDD: A New Ensemble Approach for Dealing with Concept Drift.
IEEE Trans. Knowl. Data Eng., 2012
Next challenges for adaptive learning systems.
SIGKDD Explorations, 2012
Can cross-company data improve performance in software effort estimation?
Proceedings of the 8th International Conference on Predictive Models in Software Engineering, 2012
Using unreliable data for creating more reliable online learners.
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
Design of Experiments in Neuro-Fuzzy Systems.
International Journal of Computational Intelligence and Applications, 2010