Leandro L. Minku

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 105

Top Venues

CoRR

IEEE Comput. Intell. Mag.

IJCNN

IEEE Softw.

Publications

Leandro L. Minku, Liyan Song
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19 (2) (2024)
Chun Wai Chiu, Leandro L. Minku
Smoclust: synthetic minority oversampling based on stream clustering for evolving data streams. Mach. Learn. 113 (7) (2024)
Leandro L. Minku
IEEE CIS VP-Conferences Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. 19 (1) (2024)
Leandro L. Minku, Liyan Song
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19 (1) (2024)
Sadia Tabassum, Leandro L. Minku, Danyi Feng
Cross-Project Online Just-In-Time Software Defect Prediction. IEEE Trans. Software Eng. 49 (1) (2023)
Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives. CoRR (2023)
Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Rodrigo G. F. Soares, Leandro L. Minku
OSNN: An Online Semisupervised Neural Network for Nonstationary Data Streams. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Xinming Shi, Zilu Wang, Leandro L. Minku, Xin Yao
Explaining Memristive Reservoir Computing Through Evolving Feature Attribution. GECCO Companion (2023)
George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira, Dinaldo A. Pessoa, Sadia Tabassum
An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction. Empir. Softw. Eng. 28 (5) (2023)
Marley M. B. R. Vellasco, Leandro L. Minku
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 18 (2) (2023)
Liyan Song, Leandro L. Minku
A Procedure to Continuously Evaluate Predictive Performance of Just-In-Time Software Defect Prediction Models During Software Development. IEEE Trans. Software Eng. 49 (2) (2023)
George G. Cabral, Leandro L. Minku
Towards Reliable Online Just-in-Time Software Defect Prediction. IEEE Trans. Software Eng. 49 (3) (2023)
Liyan Song, Leandro L. Minku, Cong Teng, Xin Yao
A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction. ESEC/SIGSOFT FSE (2023)
Liyan Song, Leandro L. Minku, Xin Yao
On the validity of retrospective predictive performance evaluation procedures in just-in-time software defect prediction. Empir. Softw. Eng. 28 (5) (2023)
Chun Wai Chiu, Leandro L. Minku
SMOClust: Synthetic Minority Oversampling based on Stream Clustering for Evolving Data Streams. CoRR (2023)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. GECCO Companion (2023)
Jie Lu, João Gama, Xin Yao, Leandro L. Minku
Guest Editorial: Special Issue on Stream Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Xinming Shi, Leandro L. Minku, Xin Yao
A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit. Genet. Program. Evolvable Mach. 23 (4) (2022)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. 26 (6) (2022)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation. CEC (2022)
Xinming Shi, Jiashi Gao, Leandro L. Minku, Xin Yao
Evolving parsimonious circuits through shapley value-based genetic programming. GECCO Companion (2022)
Marley M. B. R. Vellasco, Leandro L. Minku
[Conference Calendar]. IEEE Comput. Intell. Mag. 17 (3) (2022)
Marley M. B. R. Vellasco, Leandro L. Minku
Conference Calendar. IEEE Comput. Intell. Mag. 17 (4) (2022)
Liyan Song, Shuxian Li, Leandro L. Minku, Xin Yao
A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency. IJCNN (2022)
Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network. CoRR (2022)
Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro L. Minku, Anna V. Kononova
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain. IEEE Trans. Evol. Comput. 26 (6) (2022)
Marley M. B. R. Vellasco, Leandro L. Minku
[Conference Calendar]. IEEE Comput. Intell. Mag. 17 (2) (2022)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis. GECCO (2022)
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
Metaheuristics "In the Large". Eur. J. Oper. Res. 297 (2) (2022)
Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel
Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer. IJCNN (2022)
Xinming Shi, Leandro L. Minku, Xin Yao
Adaptive Memory-Enhanced Time Delay Reservoir and its Memristive Implementation. IEEE Trans. Computers 71 (11) (2022)
Marley M. B. R. Vellasco, Leandro L. Minku
[Conference Calendar]. IEEE Comput. Intell. Mag. 17 (1) (2022)
Dalia Sobhy, Leandro L. Minku, Rami Bahsoon, Rick Kazman
Continuous and Proactive Software Architecture Evaluation: An IoT Case. ACM Trans. Softw. Eng. Methodol. 31 (3) (2022)
Chun Wai Chiu, Leandro L. Minku
A Diversity Framework for Dealing With Multiple Types of Concept Drift Based on Clustering in the Model Space. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Sara Hassan, Rami Bahsoon, Leandro L. Minku, Nour Ali
Dynamic Evaluation of Microservice Granularity Adaptation. ACM Trans. Auton. Adapt. Syst. 16 (2) (2021)
Leandro L. Minku
Multi-stream online transfer learning for software effort estimation: is it necessary? PROMISE (2021)
Dalia Sobhy, Rami Bahsoon, Leandro L. Minku, Rick Kazman
Evaluation of Software Architectures under Uncertainty: A Systematic Literature Review. ACM Trans. Softw. Eng. Methodol. 30 (4) (2021)
Shin Yoo, Aldeida Aleti, Burak Turhan, Leandro L. Minku, Andriy V. Miranskyy, Çetin Meriçli
The 8th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. ACM SIGSOFT Softw. Eng. Notes 46 (1) (2021)
Sneha Saha, Thiago Rios, Leandro L. Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
Exploiting Generative Models for Performance Predictions of 3D Car Designs. SSCI (2021)
Marley M. B. R. Vellasco, Leandro L. Minku
[Conference Calendar]. IEEE Comput. Intell. Mag. 16 (4) (2021)
Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel
Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization. CEC (2021)
Dariusz Brzezinski, Leandro L. Minku, Tomasz Pewinski, Jerzy Stefanowski, Artur Szumaczuk
The impact of data difficulty factors on classification of imbalanced and concept drifting data streams. Knowl. Inf. Syst. 63 (6) (2021)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
A hybrid local search framework for the dynamic capacitated arc routing problem. GECCO Companion (2021)
Youcong Ni, Xin Du, Peng Ye, Leandro L. Minku, Xin Yao, Mark Harman, Ruliang Xiao
Multi-objective software performance optimisation at the architecture level using randomised search rules. Inf. Softw. Technol. 135 (2021)
Hao Tong, Changwu Huang, Leandro L. Minku, Xin Yao
Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study. Inf. Sci. 562 (2021)
Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model. CoRR (2021)
Xinming Shi, Jiashi Gao, Leandro L. Minku, James J. Q. Yu, Xin Yao
Second-order Time Delay Reservoir Computing for Nonlinear Time Series Problems. SSCI (2021)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems. CoRR (2021)
Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. CEC (2020)
Shuo Wang, Leandro L. Minku
AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes. IJCNN (2020)
Jeffrey C. Carver, Birgit Penzenstadler, Leandro L. Minku, Ricardo Colomo Palacios, Xabier Larrucea
Conference Highlights: JIT Fault Prevention, Motivated Modeling, Security in Requirements, and Improving Team Performance. IEEE Softw. 37 (4) (2020)
Ayse Tosun, Shane McIntosh, Leandro L. Minku, Burak Turhan
Guest Editorial: Special Issue on Predictive Models and Data Analytics in Software Engineering. Empir. Softw. Eng. 25 (2) (2020)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems. PPSN (2) (2020)
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
Towards Metaheuristics "In the Large". CoRR (2020)
Mobin M. Idrees, Leandro L. Minku, Frederic T. Stahl, Atta Badii
A heterogeneous online learning ensemble for non-stationary environments. Knowl. Based Syst. 188 (2020)
Sadia Tabassum, Leandro L. Minku, Danyi Feng, George G. Cabral, Liyan Song
An investigation of cross-project learning in online just-in-time software defect prediction. ICSE (2020)
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
Better software analytics via "DUO": Data mining algorithms using/used-by optimizers. Empir. Softw. Eng. 25 (3) (2020)
Sneha Saha, Stefan Menzel, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt
Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. SSCI (2020)
Honghui Du, Leandro L. Minku, Huiyu Zhou
MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments. ICDM (2020)
Dalia Sobhy, Leandro L. Minku, Rami Bahsoon, Tao Chen, Rick Kazman
Run-time evaluation of architectures: A case study of diversification in IoT. J. Syst. Softw. 159 (2020)
Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao
Learning from data streams and class imbalance. Connect. Sci. 31 (2) (2019)
Honghui Du, Leandro L. Minku, Huiyu Zhou
Multi-Source Transfer Learning for Non-Stationary Environments. CoRR (2019)
Honghui Du, Leandro L. Minku, Huiyu Zhou
Multi-Source Transfer Learning for Non-Stationary Environments. IJCNN (2019)
Liyan Song, Leandro L. Minku, Xin Yao
Software Effort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling. ACM Trans. Softw. Eng. Methodol. 28 (1) (2019)
Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao
Learning in the presence of class imbalance and concept drift. Neurocomputing 343 (2019)
George G. Cabral, Leandro L. Minku, Emad Shihab, Suhaib Mujahid
Class imbalance evolution and verification latency in just-in-time software defect prediction. ICSE (2019)
Sneha Saha, Thiago Rios, Leandro L. Minku, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior. SSCI (2019)
Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira
GMM-VRD: A Gaussian Mixture Model for Dealing With Virtual and Real Concept Drifts. IJCNN (2019)
Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. SSCI (2019)
Jeffrey C. Carver, Leandro L. Minku
Highlights from ICSE 2019: Software Security and Mobile App Energy Consumption. IEEE Softw. 36 (5) (2019)
Leandro L. Minku
A novel online supervised hyperparameter tuning procedure applied to cross-company software effort estimation. Empir. Softw. Eng. 24 (5) (2019)
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers. CoRR (2018)
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
Data-driven search-based software engineering. MSR (2018)
Neil Walkinshaw, Leandro L. Minku
Are 20% of files responsible for 80% of defects? ESEM (2018)
Faimison Rodrigues Porto, Leandro L. Minku, Emilia Mendes, Adenilso Simão
A Systematic Study of Cross-Project Defect Prediction With Meta-Learning. CoRR (2018)
Xiao-Ning Shen, Leandro L. Minku, Naresh Marturi, Yi-Nan Guo, Ying Han
A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling. Inf. Sci. 428 (2018)
Leandro L. Minku, Ayse Basar Bener, Burak Turhan
Guest editorial: special issue on predictive models for software quality. Softw. Qual. J. 26 (2) (2018)
Shuo Wang, Leandro L. Minku, Xin Yao
A Systematic Study of Online Class Imbalance Learning With Concept Drift. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Jeffrey C. Carver, Eduardo Santana de Almeida, Rafael Capilla, Leandro L. Minku, Marco Torchiano, Alejandro Valdezate
Empirical Software Engineering, Predictive Models, and Product Lines. IEEE Softw. 35 (3) (2018)
Chun Wai Chiu, Leandro L. Minku
Diversity-Based Pool of Models for Dealing with Recurring Concepts. IJCNN (2018)
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
Data-Driven Search-based Software Engineering. CoRR (2018)
Bello Shehu Bello, Reiko Heckel, Leandro L. Minku
Reverse Engineering the Behaviour of Twitter Bots. SNAMS (2018)
Liyan Song, Leandro L. Minku, Xin Yao
A novel automated approach for software effort estimation based on data augmentation. ESEC/SIGSOFT FSE (2018)
Markus Wagner, Leandro L. Minku, Ahmed E. Hassan, John A. Clark
Data-Driven Search-Based Software Engineering (NII Shonan Meeting 2017-19). NII Shonan Meet. Rep. 2017 (2017)
Gustavo H. F. M. Oliveira, Rodolfo C. Cavalcante, George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira
Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach. ICTAI (2017)
Bartosz Krawczyk, Leandro L. Minku, João Gama, Jerzy Stefanowski, Michal Wozniak
Ensemble learning for data stream analysis: A survey. Inf. Fusion 37 (2017)
Shuo Wang, Leandro L. Minku, Xin Yao
A Systematic Study of Online Class Imbalance Learning with Concept Drift. CoRR (2017)
Mohammad Azzeh, Ali Bou Nassif, Leandro L. Minku
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. CoRR (2017)
Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao
Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17). CoRR (2017)
Hennie Huijgens, Arie van Deursen, Leandro L. Minku, Chris Lokan
Effort and Cost in Software Engineering: A Comparison of Two Industrial Data Sets. EASE (2017)
Jeffrey C. Carver, Leandro L. Minku, Birgit Penzenstadler
Requirements, Human Values, and the Development Technology Landscape. IEEE Softw. 34 (1) (2017)
Leandro L. Minku, Siqing Hou
Clustering Dycom: An Online Cross-Company Software Effort Estimation Study. PROMISE (2017)
Leandro L. Minku, Xin Yao
Which models of the past are relevant to the present? A software effort estimation approach to exploiting useful past models. Autom. Softw. Eng. 24 (3) (2017)
Rodolfo C. Cavalcante, Leandro L. Minku, Adriano L. I. Oliveira
FEDD: Feature Extraction for Explicit Concept Drift Detection in time series. IJCNN (2016)
Yu Sun, Ke Tang, Leandro L. Minku, Shuo Wang, Xin Yao
Online Ensemble Learning of Data Streams with Gradually Evolved Classes. IEEE Trans. Knowl. Data Eng. 28 (6) (2016)
Jeffrey C. Carver, Eduardo Santana de Almeida, Rafael Capilla, Leandro L. Minku, Henry Muccini, Birgit Penzenstadler
Product Lines, Energy Conservation, Use Cases, Agile Development, and Infotainment. IEEE Softw. 33 (3) (2016)
Pietro A. Consoli, Yi Mei, Leandro L. Minku, Xin Yao
Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis. Soft Comput. 20 (10) (2016)
Xiao-Ning Shen, Leandro L. Minku, Rami Bahsoon, Xin Yao
Dynamic Software Project Scheduling through a Proactive-Rescheduling Method. IEEE Trans. Software Eng. 42 (7) (2016)
Xiuli Wu, Pietro A. Consoli, Leandro L. Minku, Gabriela Ochoa, Xin Yao
An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem. PPSN (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Leandro L. Minku