Leandro L. Minku

According to our database1, Leandro L. Minku authored at least 63 papers between 2010 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
A Systematic Study of Online Class Imbalance Learning With Concept Drift.
IEEE Trans. Neural Netw. Learning Syst., 2018

Guest editorial: special issue on predictive models for software quality.
Software Quality Journal, 2018

Empirical Software Engineering, Predictive Models, and Product Lines.
IEEE Software, 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

Data-driven search-based software engineering.
Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Are 20% of files responsible for 80% of defects?
Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 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

Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 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


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