Leandro L. Minku

According to our database, Leandro L. Minku authored at least 139 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives.

Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

Correction to: An investigation of online and offline learning models for online just-in-time software defect prediction.

George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira, Dinaldo A. Pessoa, Sadia Tabassum

Empir. Softw. Eng., November, 2024

Evolving Memristive Reservoir.

Xinming Shi, Leandro L. Minku, Xin Yao

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Conference Calendar [Conference Calendar].

Leandro Lei Minku, Liyan Song

IEEE Comput. Intell. Mag., August, 2024

Smoclust: synthetic minority oversampling based on stream clustering for evolving data streams.

Chun Wai Chiu, Leandro L. Minku

Mach. Learn., July, 2024

IEEE CIS VP-Conferences Vision Statement [Society Briefs].

Leandro L. Minku

IEEE Comput. Intell. Mag., February, 2024

Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification.

Pawel Zyblewski, Leandro L. Minku

CoRR, 2024

Tree-Based Genetic Programming for Evolutionary Analog Circuit with Approximate Shapley Value.

Xinming Shi, Leandro L. Minku, Xin Yao

Proceedings of the Artificial Intelligence XLI, 2024

2023

Guest Editorial: Special Issue on Stream Learning.

Jie Lu, João Gama, Xin Yao, Leandro L. Minku

IEEE Trans. Neural Networks Learn. Syst., October, 2023

On the validity of retrospective predictive performance evaluation procedures in just-in-time software defect prediction.

Liyan Song, Leandro L. Minku, Xin Yao

Empir. Softw. Eng., October, 2023

An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction.

George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira, Dinaldo A. Pessoa, Sadia Tabassum

Empir. Softw. Eng., October, 2023

OSNN: An Online Semisupervised Neural Network for Nonstationary Data Streams.

Rodrigo G. F. Soares, Leandro L. Minku

IEEE Trans. Neural Networks Learn. Syst., September, 2023

HumLa-fse2023.

Liyan Song, Leandro L. Minku, Cong Teng, Xin Yao

Dataset, August, 2023

Conference Calendar [Conference Calendar].

Marley M. B. R. Vellasco, Leandro L. Minku

IEEE Comput. Intell. Mag., May, 2023

Towards Reliable Online Just-in-Time Software Defect Prediction.

George G. Cabral, Leandro L. Minku

IEEE Trans. Software Eng., March, 2023

A Procedure to Continuously Evaluate Predictive Performance of Just-In-Time Software Defect Prediction Models During Software Development.

Liyan Song, Leandro L. Minku

IEEE Trans. Software Eng., February, 2023

Artificial Intelligence in Software Project Management.

Liyan Song, Leandro L. Minku

Proceedings of the Optimising the Software Development Process with Artificial Intelligence, 2023

Cross-Project Online Just-In-Time Software Defect Prediction.

Sadia Tabassum, Leandro L. Minku, Danyi Feng

IEEE Trans. Software Eng., 2023

Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach.

Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira

IEEE Trans. Knowl. Data Eng., 2023

A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction.

Liyan Song, Leandro L. Minku, Cong Teng, Xin Yao

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Explaining Memristive Reservoir Computing Through Evolving Feature Attribution.

Xinming Shi, Zilu Wang, Leandro L. Minku, Xin Yao

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Complementary material for the book "Optimising the Software Development Process with Artificial Intelligence".

José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano, Liyan Song, Leandro L. Minku, Fitsum Meshesha Kifetew, Anna Perini, Angelo Susi, Antonio Garmendia, Dominik Bork, Martin Eisenberg, Thiago do Nascimento Ferreira, Marouane Kessentini, Manuel Wimmer, Tien N. Nguyen, José Antonio Parejo, Ana Belén Sánchez, Afonso Fontes, Gregory Gay, Francisco Gomes de Oliveira Neto, Robert Feldt, Michael Felderer, Eduard Paul Enoiu, Sahar Tahvili, Foutse Khomh, Mohammad Masudur Rahman, Antoine Barbez, Javier Ferrer, Pedro Delgado-Pérez, Aurora Ramírez, Breno Miranda

Dataset, August, 2022

Continuous and Proactive Software Architecture Evaluation: An IoT Case.

Dalia Sobhy, Leandro L. Minku, Rami Bahsoon, Rick Kazman

ACM Trans. Softw. Eng. Methodol., 2022

A Diversity Framework for Dealing With Multiple Types of Concept Drift Based on Clustering in the Model Space.

Chun Wai Chiu, Leandro L. Minku

IEEE Trans. Neural Networks Learn. Syst., 2022

BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain.

Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro L. Minku, Anna V. Kononova

IEEE Trans. Evol. Comput., 2022

A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems.

Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

IEEE Trans. Evol. Comput., 2022

Adaptive Memory-Enhanced Time Delay Reservoir and its Memristive Implementation.

Xinming Shi, Leandro L. Minku, Xin Yao

IEEE Trans. Computers, 2022

A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit.

Xinming Shi, Leandro L. Minku, Xin Yao

Genet. Program. Evolvable Mach., 2022

Metaheuristics "In the Large".

Jerry Swan, Steven Adriænsen, Alexander E. I. Brownlee, Kevin Hammond, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, Juan Julián Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David R. White

Eur. J. Oper. Res., 2022

Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network.

Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao

CoRR, 2022

A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency.

Liyan Song, Shuxian Li, Leandro L. Minku, Xin Yao

Proceedings of the International Joint Conference on Neural Networks, 2022

Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer.

Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel

Proceedings of the International Joint Conference on Neural Networks, 2022

What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis.

Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Evolving parsimonious circuits through shapley value-based genetic programming.

Xinming Shi, Jiashi Gao, Leandro L. Minku, Xin Yao

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation.

Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Evaluation of Software Architectures under Uncertainty: A Systematic Literature Review.

Dalia Sobhy, Rami Bahsoon, Leandro L. Minku, Rick Kazman

ACM Trans. Softw. Eng. Methodol., 2021

Dynamic Evaluation of Microservice Granularity Adaptation.

Sara Hassan, Rami Bahsoon, Leandro L. Minku, Nour Ali

ACM Trans. Auton. Adapt. Syst., 2021

The 8th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering.

Shin Yoo, Aldeida Aleti, Burak Turhan, Leandro L. Minku, Andriy V. Miranskyy, Çetin Meriçli

ACM SIGSOFT Softw. Eng. Notes, 2021

The impact of data difficulty factors on classification of imbalanced and concept drifting data streams.

Dariusz Brzezinski, Leandro L. Minku, Tomasz Pewinski, Jerzy Stefanowski, Artur Szumaczuk

Knowl. Inf. Syst., 2021

Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study.

Hao Tong, Changwu Huang, Leandro L. Minku, Xin Yao

Inf. Sci., 2021

Multi-objective software performance optimisation at the architecture level using randomised search rules.

Youcong Ni, Xin Du, Peng Ye, Leandro L. Minku, Xin Yao, Mark Harman, Ruliang Xiao

Inf. Softw. Technol., 2021

A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems.

Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

CoRR, 2021

Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model.

Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira

CoRR, 2021

[Conference Calendar].

Marley M. B. R. Vellasco, Leandro L. Minku

IEEE Comput. Intell. Mag., 2021

Second-order Time Delay Reservoir Computing for Nonlinear Time Series Problems.

Xinming Shi, Jiashi Gao, Leandro L. Minku, James J. Q. Yu, Xin Yao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Exploiting Generative Models for Performance Predictions of 3D Car Designs.

Sneha Saha, Thiago Rios, Leandro L. Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Multi-stream online transfer learning for software effort estimation: is it necessary?

Leandro L. Minku

Proceedings of the PROMISE '21: 17th International Conference on Predictive Models and Data Analytics in Software Engineering, 2021

A hybrid local search framework for the dynamic capacitated arc routing problem.

Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization.

Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization.

Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Dataset, May, 2020

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization.

Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Dataset, February, 2020

Conference Highlights: JIT Fault Prevention, Motivated Modeling, Security in Requirements, and Improving Team Performance.

Jeffrey C. Carver, Birgit Penzenstadler, Leandro L. Minku, Ricardo Colomo Palacios, Xabier Larrucea

IEEE Softw., 2020

A heterogeneous online learning ensemble for non-stationary environments.

Mobin M. Idrees, Leandro L. Minku, Frederic T. Stahl, Atta Badii

Knowl. Based Syst., 2020

Run-time evaluation of architectures: A case study of diversification in IoT.

Dalia Sobhy, Leandro L. Minku, Rami Bahsoon, Tao Chen, Rick Kazman

J. Syst. Softw., 2020

Guest Editorial: Special Issue on Predictive Models and Data Analytics in Software Engineering.

Ayse Tosun, Shane McIntosh, Leandro L. Minku, Burak Turhan

Empir. Softw. Eng., 2020

Better software analytics via "DUO": Data mining algorithms using/used-by optimizers.

Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu

Empir. Softw. Eng., 2020

Towards Metaheuristics "In the Large".

Jerry Swan, Steven Adriænsen, Alexander E. I. Brownlee, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, Juan Julián Merelo Guervós, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David Robert White

CoRR, 2020

Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds.

Sneha Saha, Stefan Menzel, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems.

Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes.

Shuo Wang, Leandro L. Minku

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.

Sadia Tabassum, Leandro L. Minku, Danyi Feng, George G. Cabral, Liyan Song

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments.

Honghui Du, Leandro L. Minku, Huiyu Zhou

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization.

Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Software Effort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling.

Liyan Song, Leandro L. Minku, Xin Yao

ACM Trans. Softw. Eng. Methodol., 2019

Highlights from ICSE 2019: Software Security and Mobile App Energy Consumption.

Jeffrey C. Carver, Leandro L. Minku

IEEE Softw., 2019

Learning in the presence of class imbalance and concept drift.

Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao

Neurocomputing, 2019

A novel online supervised hyperparameter tuning procedure applied to cross-company software effort estimation.

Leandro L. Minku

Empir. Softw. Eng., 2019

Learning from data streams and class imbalance.

Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao

Connect. Sci., 2019

Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior.

Sneha Saha, Thiago Rios, Leandro L. Minku, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization.

Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

GMM-VRD: A Gaussian Mixture Model for Dealing With Virtual and Real Concept Drifts.

Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira

Proceedings of the International Joint Conference on Neural Networks, 2019

Multi-Source Transfer Learning for Non-Stationary Environments.

Honghui Du, Leandro L. Minku, Huiyu Zhou

Proceedings of the International Joint Conference on Neural Networks, 2019

Class imbalance evolution and verification latency in just-in-time software defect prediction.

George G. Cabral, Leandro L. Minku, Emad Shihab, Suhaib Mujahid

Proceedings of the 41st International Conference on Software Engineering, 2019

2018

A Systematic Study of Online Class Imbalance Learning With Concept Drift.

Shuo Wang, Leandro L. Minku, Xin Yao

IEEE Trans. Neural Networks Learn. Syst., 2018

Guest editorial: special issue on predictive models for software quality.

Leandro L. Minku, Ayse Basar Bener, Burak Turhan

Softw. Qual. J., 2018

Empirical Software Engineering, Predictive Models, and Product Lines.

Jeffrey C. Carver, Eduardo Santana de Almeida, Rafael Capilla, Leandro L. Minku, Marco Torchiano, Alejandro Valdezate

IEEE Softw., 2018

A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling.

Xiao-Ning Shen, Leandro L. Minku, Naresh Marturi, Yi-Nan Guo, Ying Han

Inf. Sci., 2018

A Systematic Study of Cross-Project Defect Prediction With Meta-Learning.

Faimison Rodrigues Porto, Leandro L. Minku, Emilia Mendes, Adenilso Simão

CoRR, 2018

Reverse Engineering the Behaviour of Twitter Bots.

Bello Shehu Bello, Reiko Heckel, Leandro L. Minku

Proceedings of the Fifth International Conference on Social Networks Analysis, 2018

A novel automated approach for software effort estimation based on data augmentation.

Liyan Song, Leandro L. Minku, Xin Yao

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Data-driven search-based software engineering.

Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Diversity-Based Pool of Models for Dealing with Recurring Concepts.

Chun Wai Chiu, Leandro L. Minku

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Are 20% of files responsible for 80% of defects?

Neil Walkinshaw, Leandro L. Minku

Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018

2017

Requirements, Human Values, and the Development Technology Landscape.

Jeffrey C. Carver, Leandro L. Minku, Birgit Penzenstadler

IEEE Softw., 2017

Data-Driven Search-Based Software Engineering (NII Shonan Meeting 2017-19).

Markus Wagner, Leandro L. Minku, Ahmed E. Hassan, John A. Clark

NII Shonan Meet. Rep., 2017

Ensemble learning for data stream analysis: A survey.

Bartosz Krawczyk, Leandro L. Minku, João Gama, Jerzy Stefanowski, Michal Wozniak

Inf. Fusion, 2017

Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17).

Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao

CoRR, 2017

Which models of the past are relevant to the present? A software effort estimation approach to exploiting useful past models.

Leandro L. Minku, Xin Yao

Autom. Softw. Eng., 2017

Clustering Dycom: An Online Cross-Company Software Effort Estimation Study.

Leandro L. Minku, Siqing Hou

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.

Gustavo H. F. M. Oliveira, Rodolfo Carneiro Cavalcante, George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira

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.

Hennie Huijgens, Arie van Deursen, Leandro L. Minku, Chris Lokan

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, 2017

2016

Common Techniques for Self-awareness and Self-expression.

Shuo Wang, Georg Nebehay, Lukas Esterle, Kristian Nymoen, Leandro L. Minku

Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

Knowledge Representation and Modelling: Structures and Trade-Offs.

Leandro L. Minku, Lukas Esterle, Georg Nebehay, Renzhi Chen

Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

Dynamic Software Project Scheduling through a Proactive-Rescheduling Method.

Xiao-Ning Shen, Leandro L. Minku, Rami Bahsoon, Xin Yao

IEEE Trans. Software Eng., 2016

Online Ensemble Learning of Data Streams with Gradually Evolved Classes.

Yu Sun, Ke Tang, Leandro L. Minku, Shuo Wang, Xin Yao

IEEE Trans. Knowl. Data Eng., 2016

Regression Testing, Spoken Language, Crash-Inducing Commits, UML, and Legal Policy.

Jeffrey C. Carver, Jordi Cabot, Leandro L. Minku, Marco Torchiano

IEEE Softw., 2016

Product Lines, Energy Conservation, Use Cases, Agile Development, and Infotainment.

Jeffrey C. Carver, Eduardo Santana de Almeida, Rafael Capilla, Leandro L. Minku, Henry Muccini, Birgit Penzenstadler

IEEE Softw., 2016

Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis.

Pietro A. Consoli, Yi Mei, Leandro L. Minku, Xin Yao

Soft Comput., 2016

Data mining for software engineering and humans in the loop.

Leandro L. Minku, Emilia Mendes, Burak Turhan

Prog. Artif. Intell., 2016

On the Terms Within- and Cross-Company in Software Effort Estimation.

Leandro L. Minku

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.

Xiuli Wu, Pietro A. Consoli, Leandro L. Minku, Gabriela Ochoa, Xin Yao

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

FEDD: Feature Extraction for Explicit Concept Drift Detection in time series.

Rodolfo Carneiro Cavalcante, Leandro L. Minku, Adriano L. I. Oliveira

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Dealing with Multiple Classes in Online Class Imbalance Learning.

Shuo Wang, Leandro L. Minku, Xin Yao

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Diversifying Software Architecture for Sustainability: A Value-Based Perspective.

Dalia Sobhy, Rami Bahsoon, Leandro L. Minku, Rick Kazman

Proceedings of the Software Architecture - 10th European Conference, 2016

The wisdom of the crowds in predictive modeling for software engineering.

Leandro L. Minku

Proceedings of the Perspectives on Data Science for Software Engineering, 2016

Which machine learning method do you need?

Leandro L. Minku

Proceedings of the Perspectives on Data Science for Software Engineering, 2016

2015

Resampling-Based Ensemble Methods for Online Class Imbalance Learning.

Shuo Wang, Leandro L. Minku, Xin Yao

IEEE Trans. Knowl. Data Eng., 2015

Software Quality, Energy Awareness, and More.

Jeffrey C. Carver, Aiko Yamashita, Leandro L. Minku, Mayy Habayeb, Sedef Akinli Koçak

IEEE Softw., 2015

An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation.

Mohammad Azzeh, Ali Bou Nassif, Leandro L. Minku

J. Syst. Softw., 2015

4th International Workshop on Realizing AI Synergies in Software Engineering (RAISE 2015).

Burak Turhan, Ayse Basar Bener, Rachel Harrison, Andriy V. Miranskyy, Çetin Meriçli, Leandro L. Minku

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

The Art and Science of Analyzing Software Data; Quantitative Methods.

Tim Menzies, Leandro L. Minku, Fayola Peters

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?

Leandro L. Minku, Federica Sarro, Emilia Mendes, Filomena Ferrucci

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.

Xin Du, Youcong Ni, Peng Ye, Xin Yao, Leandro L. Minku, Ruliang Xiao

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis.

Leandro L. Minku, Dirk Sudholt, Xin Yao

IEEE Trans. Software Eng., 2014

Computational Intelligence for Software Engineering (NII Shonan Meeting 2014-13).

Hong Mei, Frank Neumann, Xin Yao, Leandro L. Minku

NII Shonan Meet. Rep., 2014

The Handbook of Engineering Self-Aware and Self-Expressive Systems.

Tao Chen, Funmilade Faniyi, Rami Bahsoon, Peter R. Lewis, Xin Yao, Leandro L. Minku, Lukas Esterle

CoRR, 2014

Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases.

Mark Harman, Syed S. Islam, Yue Jia, Leandro L. Minku, Federica Sarro, Komsan Srivisut

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.

Pietro A. Consoli, Leandro L. Minku, Xin Yao

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

The potential benefit of relevance vector machine to software effort estimation.

Liyan Song, Leandro L. Minku, Xin Yao

Proceedings of the 10th International Conference on Predictive Models in Software Engineering, 2014

A multi-objective ensemble method for online class imbalance learning.

Shuo Wang, Leandro L. Minku, Xin Yao

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Measuring Energy Consumption for Web Service Product Configuration.

I. Made Murwantara, Behzad Bordbar, Leandro L. Minku

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?

Leandro L. Minku, Xin Yao

Proceedings of the 36th International Conference on Software Engineering, 2014

2013

Software effort estimation as a multiobjective learning problem.

Leandro L. Minku, Xin Yao

ACM Trans. Softw. Eng. Methodol., 2013

Ensembles and locality: Insight on improving software effort estimation.

Leandro L. Minku, Xin Yao

Inf. Softw. Technol., 2013

Online Class Imbalance Learning and its Applications in Fault Detection.

Shuo Wang, Leandro L. Minku, Xin Yao

Int. J. Comput. Intell. Appl., 2013

Learning aesthetic judgements in evolutionary art systems.

Yang Li, Changjun Hu, Leandro L. Minku, Haolei Zuo

Genet. Program. Evolvable Mach., 2013

The impact of parameter tuning on software effort estimation using learning machines.

Liyan Song, Leandro L. Minku, Xin Yao

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.

Leandro L. Minku, Xin Yao

Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013

Concept drift detection for online class imbalance learning.

Shuo Wang, Leandro L. Minku, Davide Ghezzi, Daniele Caltabiano, Peter Tiño, Xin Yao

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Data science for software engineering.

Tim Menzies, Ekrem Kocaguneli, Fayola Peters, Burak Turhan, Leandro L. Minku

Proceedings of the 35th International Conference on Software Engineering, 2013

A learning framework for online class imbalance learning.

Shuo Wang, Leandro L. Minku, Xin Yao

Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

2012

DDD: A New Ensemble Approach for Dealing with Concept Drift.

Leandro L. Minku, Xin Yao

IEEE Trans. Knowl. Data Eng., 2012

Next challenges for adaptive learning systems.

Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, João Gama, Leandro L. Minku, Katarzyna Musial

SIGKDD Explor., 2012

Can cross-company data improve performance in software effort estimation?

Leandro L. Minku, Xin Yao

Proceedings of the 8th International Conference on Predictive Models in Software Engineering, 2012

Using unreliable data for creating more reliable online learners.

Leandro L. Minku, Xin Yao

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design.

Leandro L. Minku, Dirk Sudholt, Xin Yao

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

A principled evaluation of ensembles of learning machines for software effort estimation.

Leandro L. Minku, Xin Yao

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.

Leandro L. Minku, Allan P. White, Xin Yao

IEEE Trans. Knowl. Data Eng., 2010

Design of Experiments in Neuro-Fuzzy Systems.

Cleber Zanchettin, Leandro L. Minku, Teresa Bernarda Ludermir

Int. J. Comput. Intell. Appl., 2010