Leandro L. Minku

165 papers A* 7A 7B 19C 1Journal 93Unranked 27
YearRankTypeTitle / Venue / Authors
2025 J jnl
Acknowledging Volunteers Associated With 2024 IEEE CIS Conference Management [Society Briefs].
IEEE Comput. Intell. Mag.
Leandro L. Minku
2025 J jnl
Dynamic Swarm Intelligence for Time Series Forecasting in the Presence of Concept Drift.
SN Comput. Sci.
Gustavo H. F. M. Oliveira, George G. Cabral, Augusto César Ferreira de Miranda Oliveira, Marília Miranda Oliveira, Leandro L. Minku, Adriano Lorena Inácio de Oliveira
2025 J jnl
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network.
IEEE Trans. Emerg. Top. Comput. Intell.
Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao
2025 B conf
Hyperon: An Online Hyperparameter Tuning Approach for Data Stream Learning.
DSAA
Sadia Tabassum, Leandro L. Minku
2025 J jnl
Learning to Expand/Contract Pareto Sets in Dynamic Multiobjective Optimization With a Changing Number of Objectives.
IEEE Trans. Evol. Comput.
Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2025 J jnl
MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments.
CoRR
Honghui Du, Leandro L. Minku, Huiyu Zhou
2025 A* conf
Multi-Label Transfer Learning in Non-Stationary Data Streams.
ICDM
Honghui Du, Leandro L. Minku, Aonghus Lawlor, Huiyu Zhou
2025 J jnl
Multi-Label Transfer Learning in Non-Stationary Data Streams.
CoRR
Honghui Du, Leandro L. Minku, Aonghus Lawlor, Huiyu Zhou
2025 J jnl
Online ensemble model compression for nonstationary data stream learning.
Neural Networks
Rodrigo G. F. Soares, Leandro L. Minku
2025 B conf
The Value of Diversity for Dealing with Concept Drift in Class-Imbalanced Data Streams.
DSAA
Chun Wai Chiu, Leandro L. Minku
2024 — ed.
Classifier Learning from Difficult Data, Santiago de Compostella, Spain, 19-20 October 2024.
CLD2
Pawel Zyblewski, Manuel Grana, Ksieniewicz Pawel, Leandro L. Minku
2024 J jnl
Conference Calendar [Conference Calendar].
IEEE Comput. Intell. Mag.
Leandro L. Minku, Liyan Song
2024 J jnl
Conference Calendar [Conference Calendar].
IEEE Comput. Intell. Mag.
Leandro L. Minku, Liyan Song
2024 J jnl
Correction to: An investigation of online and offline learning models for online just-in-time software defect prediction.
Empir. Softw. Eng.
George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira, Dinaldo A. Pessoa, Sadia Tabassum
2024 — conf
Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification.
ICDM (Workshops)
Pawel Zyblewski, Leandro L. Minku
2024 J jnl
Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification.
CoRR
Pawel Zyblewski, Leandro L. Minku
2024 J jnl
Evolving Memristive Reservoir.
IEEE Trans. Neural Networks Learn. Syst.
Xinming Shi, Leandro L. Minku, Xin Yao
2024 J jnl
IEEE CIS VP-Conferences Vision Statement [Society Briefs].
IEEE Comput. Intell. Mag.
Leandro L. Minku
2024 J jnl
Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives.
IEEE Trans. Emerg. Top. Comput. Intell.
Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2024 J jnl
Smoclust: synthetic minority oversampling based on stream clustering for evolving data streams.
Mach. Learn.
Chun Wai Chiu, Leandro L. Minku
2024 — conf
Tree-Based Genetic Programming for Evolutionary Analog Circuit with Approximate Shapley Value.
SGAI Conf. (1)
Xinming Shi, Leandro L. Minku, Xin Yao
2023 — conf
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems.
GECCO Companion
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2023 — conf
A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction.
ESEC/SIGSOFT FSE
Liyan Song, Leandro L. Minku, Cong Teng, Xin Yao
2023 J jnl
A Procedure to Continuously Evaluate Predictive Performance of Just-In-Time Software Defect Prediction Models During Software Development.
IEEE Trans. Software Eng.
Liyan Song, Leandro L. Minku
2023 J jnl
An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction.
Empir. Softw. Eng.
George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira, Dinaldo A. Pessoa, Sadia Tabassum
2023 — ch.
Artificial Intelligence in Software Project Management.
Optimising the Software Development Process with Artificial Intelligence
Liyan Song, Leandro L. Minku
2023 J jnl
Conference Calendar [Conference Calendar].
IEEE Comput. Intell. Mag.
Marley M. B. R. Vellasco, Leandro L. Minku
2023 J jnl
Cross-Project Online Just-In-Time Software Defect Prediction.
IEEE Trans. Software Eng.
Sadia Tabassum, Leandro L. Minku, Danyi Feng
2023 — conf
Explaining Memristive Reservoir Computing Through Evolving Feature Attribution.
GECCO Companion
Xinming Shi, Zilu Wang, Leandro L. Minku, Xin Yao
2023 J jnl
Guest Editorial: Special Issue on Stream Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jie Lu, João Gama, Xin Yao, Leandro L. Minku
2023 J jnl
Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives.
CoRR
Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2023 J jnl
OSNN: An Online Semisupervised Neural Network for Nonstationary Data Streams.
IEEE Trans. Neural Networks Learn. Syst.
Rodrigo G. F. Soares, Leandro L. Minku
2023 J jnl
On the validity of retrospective predictive performance evaluation procedures in just-in-time software defect prediction.
Empir. Softw. Eng.
Liyan Song, Leandro L. Minku, Xin Yao
2023 J jnl
SMOClust: Synthetic Minority Oversampling based on Stream Clustering for Evolving Data Streams.
CoRR
Chun Wai Chiu, Leandro L. Minku
2023 J jnl
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach.
IEEE Trans. Knowl. Data Eng.
Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira
2023 J jnl
Towards Reliable Online Just-in-Time Software Defect Prediction.
IEEE Trans. Software Eng.
George G. Cabral, Leandro L. Minku
2022 J jnl
A Diversity Framework for Dealing With Multiple Types of Concept Drift Based on Clustering in the Model Space.
IEEE Trans. Neural Networks Learn. Syst.
Chun Wai Chiu, Leandro L. Minku
2022 B conf
A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency.
IJCNN
Liyan Song, Shuxian Li, Leandro L. Minku, Xin Yao
2022 J jnl
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput.
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2022 J jnl
A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit.
Genet. Program. Evolvable Mach.
Xinming Shi, Leandro L. Minku, Xin Yao
2022 J jnl
Adaptive Memory-Enhanced Time Delay Reservoir and its Memristive Implementation.
IEEE Trans. Computers
Xinming Shi, Leandro L. Minku, Xin Yao
2022 J jnl
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain.
IEEE Trans. Evol. Comput.
Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro L. Minku, Anna V. Kononova
2022 B conf
Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation.
CEC
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2022 J jnl
Conference Calendar.
IEEE Comput. Intell. Mag.
Marley M. B. R. Vellasco, Leandro L. Minku
2022 J jnl
Continuous and Proactive Software Architecture Evaluation: An IoT Case.
ACM Trans. Softw. Eng. Methodol.
Dalia Sobhy, Leandro L. Minku, Rami Bahsoon, Rick Kazman
2022 J jnl
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network.
CoRR
Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao
2022 — conf
Evolving parsimonious circuits through shapley value-based genetic programming.
GECCO Companion
Xinming Shi, Jiashi Gao, Leandro L. Minku, Xin Yao
2022 J jnl
Metaheuristics "In the Large".
Eur. J. Oper. Res.
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
2022 B conf
Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer.
IJCNN
Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel
2022 A conf
What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis.
GECCO
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2022 J jnl
[Conference Calendar].
IEEE Comput. Intell. Mag.
Marley M. B. R. Vellasco, Leandro L. Minku
2022 J jnl
[Conference Calendar].
IEEE Comput. Intell. Mag.
Marley M. B. R. Vellasco, Leandro L. Minku
2022 J jnl
[Conference Calendar].
IEEE Comput. Intell. Mag.
Marley M. B. R. Vellasco, Leandro L. Minku
2021 J jnl
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems.
CoRR
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2021 — conf
A hybrid local search framework for the dynamic capacitated arc routing problem.
GECCO Companion
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2021 J jnl
Dynamic Evaluation of Microservice Granularity Adaptation.
ACM Trans. Auton. Adapt. Syst.
Sara Hassan, Rami Bahsoon, Leandro L. Minku, Nour Ali
2021 J jnl
Evaluation of Software Architectures under Uncertainty: A Systematic Literature Review.
ACM Trans. Softw. Eng. Methodol.
Dalia Sobhy, Rami Bahsoon, Leandro L. Minku, Rick Kazman
2021 — conf
Exploiting Generative Models for Performance Predictions of 3D Car Designs.
SSCI
Sneha Saha, Thiago Rios, Leandro L. Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021 B conf
Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization.
CEC
Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel
2021 J jnl
Multi-objective software performance optimisation at the architecture level using randomised search rules.
Inf. Softw. Technol.
Youcong Ni, Xin Du, Peng Ye, Leandro L. Minku, Xin Yao, Mark Harman, Ruliang Xiao
2021 — conf
Multi-stream online transfer learning for software effort estimation: is it necessary?
PROMISE
Leandro L. Minku
2021 — conf
Second-order Time Delay Reservoir Computing for Nonlinear Time Series Problems.
SSCI
Xinming Shi, Jiashi Gao, Leandro L. Minku, James J. Q. Yu, Xin Yao
2021 J jnl
Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study.
Inf. Sci.
Hao Tong, Changwu Huang, Leandro L. Minku, Xin Yao
2021 J jnl
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model.
CoRR
Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira
2021 J jnl
The 8th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering.
ACM SIGSOFT Softw. Eng. Notes
Shin Yoo, Aldeida Aleti, Burak Turhan, Leandro L. Minku, Andriy V. Miranskyy, Çetin Meriçli
2021 J jnl
The impact of data difficulty factors on classification of imbalanced and concept drifting data streams.
Knowl. Inf. Syst.
Dariusz Brzezinski, Leandro L. Minku, Tomasz Pewinski, Jerzy Stefanowski, Artur Szumaczuk
2021 J jnl
[Conference Calendar].
IEEE Comput. Intell. Mag.
Marley M. B. R. Vellasco, Leandro L. Minku
2020 J jnl
A heterogeneous online learning ensemble for non-stationary environments.
Knowl. Based Syst.
Mobin M. Idrees, Leandro L. Minku, Frederic T. Stahl, Atta Badii
2020 B conf
AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes.
IJCNN
Shuo Wang, Leandro L. Minku
2020 A* conf
An investigation of cross-project learning in online just-in-time software defect prediction.
ICSE
Sadia Tabassum, Leandro L. Minku, Danyi Feng, George G. Cabral, Liyan Song
2020 J jnl
Better software analytics via "DUO": Data mining algorithms using/used-by optimizers.
Empir. Softw. Eng.
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2020 B conf
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization.
CEC
Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2020 J jnl
Conference Highlights: JIT Fault Prevention, Motivated Modeling, Security in Requirements, and Improving Team Performance.
IEEE Softw.
Jeffrey C. Carver, Birgit Penzenstadler, Leandro L. Minku, Ricardo Colomo-Palacios, Xabier Larrucea
2020 J jnl
Guest Editorial: Special Issue on Predictive Models and Data Analytics in Software Engineering.
Empir. Softw. Eng.
Ayse Tosun, Shane McIntosh, Leandro L. Minku, Burak Turhan
2020 A* conf
MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments.
ICDM
Honghui Du, Leandro L. Minku, Huiyu Zhou
2020 — ed.
PROMISE '20: 16th International Conference on Predictive Models and Data Analytics in Software Engineering, Virtual Event, USA, November 8-9, 2020
PROMISE
Leandro L. Minku, Tim Menzies, Meiyappan Nagappan
2020 — conf
Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds.
SSCI
Sneha Saha, Stefan Menzel, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt
2020 J jnl
Run-time evaluation of architectures: A case study of diversification in IoT.
J. Syst. Softw.
Dalia Sobhy, Leandro L. Minku, Rami Bahsoon, Tao Chen, Rick Kazman
2020 J jnl
Towards Metaheuristics "In the Large".
CoRR
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
2020 — conf
Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems.
PPSN (2)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2019 J jnl
A novel online supervised hyperparameter tuning procedure applied to cross-company software effort estimation.
Empir. Softw. Eng.
Leandro L. Minku
2019 A* conf
Class imbalance evolution and verification latency in just-in-time software defect prediction.
ICSE
George G. Cabral, Leandro L. Minku, Emad Shihab, Suhaib Mujahid
2019 B conf
GMM-VRD: A Gaussian Mixture Model for Dealing With Virtual and Real Concept Drifts.
IJCNN
Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira
2019 J jnl
Highlights from ICSE 2019: Software Security and Mobile App Energy Consumption.
IEEE Softw.
Jeffrey C. Carver, Leandro L. Minku
2019 J jnl
Learning from data streams and class imbalance.
Connect. Sci.
Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao
2019 J jnl
Learning in the presence of class imbalance and concept drift.
Neurocomputing
Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao
2019 B conf
Multi-Source Transfer Learning for Non-Stationary Environments.
IJCNN
Honghui Du, Leandro L. Minku, Huiyu Zhou
2019 J jnl
Multi-Source Transfer Learning for Non-Stationary Environments.
CoRR
Honghui Du, Leandro L. Minku, Huiyu Zhou
2019 — conf
Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior.
SSCI
Sneha Saha, Thiago Rios, Leandro L. Minku, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
2019 — ed.
Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2019, Recife, Brazil, September 18, 2019.
PROMISE
Leandro L. Minku, Foutse Khomh, Jean Petric
2019 J jnl
Software Effort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling.
ACM Trans. Softw. Eng. Methodol.
Liyan Song, Leandro L. Minku, Xin Yao
2019 — conf
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization.
SSCI
Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2018 — ed.
6th IEEE/ACM International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE@ICSE 2018, Gothenburg, Sweden, May 27, 2018
RAISE@ICSE
Walter F. Tichy, Leandro L. Minku
2018 J jnl
A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling.
Inf. Sci.
Xiao-Ning Shen, Leandro L. Minku, Naresh Marturi, Yi-Nan Guo, Ying Han
2018 J jnl
A Systematic Study of Cross-Project Defect Prediction With Meta-Learning.
CoRR
Faimison Rodrigues Porto, Leandro L. Minku, Emilia Mendes, Adenilso Simão
2018 J jnl
A Systematic Study of Online Class Imbalance Learning With Concept Drift.
IEEE Trans. Neural Networks Learn. Syst.
Shuo Wang, Leandro L. Minku, Xin Yao
2018 — conf
A novel automated approach for software effort estimation based on data augmentation.
ESEC/SIGSOFT FSE
Liyan Song, Leandro L. Minku, Xin Yao
2018 A conf
Are 20% of files responsible for 80% of defects?
ESEM
Neil Walkinshaw, Leandro L. Minku
2018 J jnl
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers.
CoRR
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018 J jnl
Data-Driven Search-based Software Engineering.
CoRR
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018 A conf
Data-driven search-based software engineering.
MSR
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018 B conf
Diversity-Based Pool of Models for Dealing with Recurring Concepts.
IJCNN
Chun Wai Chiu, Leandro L. Minku
2018 J jnl
Empirical Software Engineering, Predictive Models, and Product Lines.
IEEE Softw.
Jeffrey C. Carver, Eduardo Santana de Almeida, Rafael Capilla, Leandro L. Minku, Marco Torchiano, Alejandro Valdezate
2018 J jnl
Guest editorial: special issue on predictive models for software quality.
Softw. Qual. J.
Leandro L. Minku, Ayse Basar Bener, Burak Turhan
2018 — conf
Reverse Engineering the Behaviour of Twitter Bots.
SNAMS
Bello Shehu Bello, Reiko Heckel, Leandro L. Minku
2017 J jnl
A Systematic Study of Online Class Imbalance Learning with Concept Drift.
CoRR
Shuo Wang, Leandro L. Minku, Xin Yao
2017 J jnl
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation.
CoRR
Mohammad Azzeh, Ali Bou Nassif, Leandro L. Minku
2017 — conf
Clustering Dycom: An Online Cross-Company Software Effort Estimation Study.
PROMISE
Leandro L. Minku, Siqing Hou
2017 J jnl
Data-Driven Search-Based Software Engineering (NII Shonan Meeting 2017-19).
NII Shonan Meet. Rep.
Markus Wagner, Leandro L. Minku, Ahmed E. Hassan, John A. Clark
2017 A conf
Effort and Cost in Software Engineering: A Comparison of Two Industrial Data Sets.
EASE
Hennie Huijgens, Arie van Deursen, Leandro L. Minku, Chris Lokan
2017 J jnl
Ensemble learning for data stream analysis: A survey.
Inf. Fusion
Bartosz Krawczyk, Leandro L. Minku, João Gama, Jerzy Stefanowski, Michal Wozniak
2017 J jnl
Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17).
CoRR
Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao
2017 J jnl
Requirements, Human Values, and the Development Technology Landscape.
IEEE Softw.
Jeffrey C. Carver, Leandro L. Minku, Birgit Penzenstadler
2017 B conf
Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach.
ICTAI
Gustavo H. F. M. Oliveira, Rodolfo Carneiro Cavalcante, George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira
2017 J jnl
Which models of the past are relevant to the present? A software effort estimation approach to exploiting useful past models.
Autom. Softw. Eng.
Leandro L. Minku, Xin Yao
2016 A conf
An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem.
PPSN
Xiuli Wu, Pietro A. Consoli, Leandro L. Minku, Gabriela Ochoa, Xin Yao
2016 — ch.
Common Techniques for Self-awareness and Self-expression.
Self-aware Computing Systems
Shuo Wang, Georg Nebehay, Lukas Esterle, Kristian Nymoen, Leandro L. Minku
2016 J jnl
Data mining for software engineering and humans in the loop.
Prog. Artif. Intell.
Leandro L. Minku, Emilia Mendes, Burak Turhan
2016 A* conf
Dealing with Multiple Classes in Online Class Imbalance Learning.
IJCAI
Shuo Wang, Leandro L. Minku, Xin Yao
2016 B conf
Diversifying Software Architecture for Sustainability: A Value-Based Perspective.
ECSA
Dalia Sobhy, Rami Bahsoon, Leandro L. Minku, Rick Kazman
2016 J jnl
Dynamic Software Project Scheduling through a Proactive-Rescheduling Method.
IEEE Trans. Software Eng.
Xiao-Ning Shen, Leandro L. Minku, Rami Bahsoon, Xin Yao
2016 J jnl
Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis.
Soft Comput.
Pietro A. Consoli, Yi Mei, Leandro L. Minku, Xin Yao
2016 B conf
FEDD: Feature Extraction for Explicit Concept Drift Detection in time series.
IJCNN
Rodolfo Carneiro Cavalcante, Leandro L. Minku, Adriano L. I. Oliveira
2016 — ch.
Knowledge Representation and Modelling: Structures and Trade-Offs.
Self-aware Computing Systems
Leandro L. Minku, Lukas Esterle, Georg Nebehay, Renzhi Chen
2016 — conf
On the Terms Within- and Cross-Company in Software Effort Estimation.
PROMISE
Leandro L. Minku
2016 J jnl
Online Ensemble Learning of Data Streams with Gradually Evolved Classes.
IEEE Trans. Knowl. Data Eng.
Yu Sun, Ke Tang, Leandro L. Minku, Shuo Wang, Xin Yao
2016 J jnl
Product Lines, Energy Conservation, Use Cases, Agile Development, and Infotainment.
IEEE Softw.
Jeffrey C. Carver, Eduardo Santana de Almeida, Rafael Capilla, Leandro L. Minku, Henry Muccini, Birgit Penzenstadler
2016 J jnl
Regression Testing, Spoken Language, Crash-Inducing Commits, UML, and Legal Policy.
IEEE Softw.
Jeffrey C. Carver, Jordi Cabot, Leandro L. Minku, Marco Torchiano
2016 — ch.
The wisdom of the crowds in predictive modeling for software engineering.
Perspectives on Data Science for Software Engineering
Leandro L. Minku
2016 — ch.
Which machine learning method do you need?
Perspectives on Data Science for Software Engineering
Leandro L. Minku
2015 — conf
4th International Workshop on Realizing AI Synergies in Software Engineering (RAISE 2015).
ICSE (2)
Burak Turhan, Ayse Basar Bener, Rachel Harrison, Andriy V. Miranskyy, Çetin Meriçli, Leandro L. Minku
2015 J jnl
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation.
J. Syst. Softw.
Mohammad Azzeh, Ali Bou Nassif, Leandro L. Minku
2015 B conf
An evolutionary algorithm for performance optimization at software architecture level.
CEC
Xin Du, Youcong Ni, Peng Ye, Xin Yao, Leandro L. Minku, Ruliang Xiao
2015 A conf
How to Make Best Use of Cross-Company Data for Web Effort Estimation?
ESEM
Leandro L. Minku, Federica Sarro, Emilia Mendes, Filomena Ferrucci
2015 — ed.
Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015, Beijing, China, October 21, 2015
PROMISE
Ayse Bener, Leandro L. Minku, Burak Turhan
2015 J jnl
Resampling-Based Ensemble Methods for Online Class Imbalance Learning.
IEEE Trans. Knowl. Data Eng.
Shuo Wang, Leandro L. Minku, Xin Yao
2015 J jnl
Software Quality, Energy Awareness, and More.
IEEE Softw.
Jeffrey C. Carver, Aiko Yamashita, Leandro L. Minku, Mayy Habayeb, Sedef Akinli Koçak
2015 — conf
The Art and Science of Analyzing Software Data; Quantitative Methods.
ICSE (2)
Tim Menzies, Leandro L. Minku, Fayola Peters
2014 — ed.
3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2014, Hyderabad, India, June 3, 2014
RAISE
Burak Turhan, Ayse Basar Bener, Çetin Meriçli, Andriy V. Miranskyy, Leandro L. Minku
2014 B conf
A multi-objective ensemble method for online class imbalance learning.
IJCNN
Shuo Wang, Leandro L. Minku, Xin Yao
2014 J jnl
Computational Intelligence for Software Engineering (NII Shonan Meeting 2014-13).
NII Shonan Meet. Rep.
Hong Mei, Frank Neumann, Xin Yao, Leandro L. Minku
2014 — conf
Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics.
SEAL
Pietro A. Consoli, Leandro L. Minku, Xin Yao
2014 A* conf
How to make best use of cross-company data in software effort estimation?
ICSE
Leandro L. Minku, Xin Yao
2014 J jnl
Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis.
IEEE Trans. Software Eng.
Leandro L. Minku, Dirk Sudholt, Xin Yao
2014 B conf
Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases.
SSBSE
Mark Harman, Syed S. Islam, Yue Jia, Leandro L. Minku, Federica Sarro, Komsan Srivisut
2014 C conf
Measuring Energy Consumption for Web Service Product Configuration.
iiWAS
I. Made Murwantara, Behzad Bordbar, Leandro L. Minku
2014 J jnl
The Handbook of Engineering Self-Aware and Self-Expressive Systems.
CoRR
Tao Chen, Funmilade Faniyi, Rami Bahsoon, Peter R. Lewis, Xin Yao, Leandro L. Minku, Lukas Esterle
2014 — conf
The potential benefit of relevance vector machine to software effort estimation.
PROMISE
Liyan Song, Leandro L. Minku, Xin Yao
2013 — conf
A learning framework for online class imbalance learning.
CIEL
Shuo Wang, Leandro L. Minku, Xin Yao
2013 — conf
An analysis of multi-objective evolutionary algorithms for training ensemble models based on different performance measures in software effort estimation.
PROMISE
Leandro L. Minku, Xin Yao
2013 B conf
Concept drift detection for online class imbalance learning.
IJCNN
Shuo Wang, Leandro L. Minku, Davide Ghezzi, Daniele Caltabiano, Peter Tiño, Xin Yao
2013 A* conf
Data science for software engineering.
ICSE
Tim Menzies, Ekrem Kocaguneli, Fayola Peters, Burak Turhan, Leandro L. Minku
2013 J jnl
Ensembles and locality: Insight on improving software effort estimation.
Inf. Softw. Technol.
Leandro L. Minku, Xin Yao
2013 J jnl
Learning aesthetic judgements in evolutionary art systems.
Genet. Program. Evolvable Mach.
Yang Li, Changjun Hu, Leandro L. Minku, Haolei Zuo
2013 J jnl
Online Class Imbalance Learning and its Applications in Fault Detection.
Int. J. Comput. Intell. Appl.
Shuo Wang, Leandro L. Minku, Xin Yao
2013 J jnl
Software effort estimation as a multiobjective learning problem.
ACM Trans. Softw. Eng. Methodol.
Leandro L. Minku, Xin Yao
2013 — conf
The impact of parameter tuning on software effort estimation using learning machines.
PROMISE
Liyan Song, Leandro L. Minku, Xin Yao
2012 — conf
Can cross-company data improve performance in software effort estimation?
PROMISE
Leandro L. Minku, Xin Yao
2012 J jnl
DDD: A New Ensemble Approach for Dealing with Concept Drift.
IEEE Trans. Knowl. Data Eng.
Leandro L. Minku, Xin Yao
2012 A conf
Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design.
GECCO
Leandro L. Minku, Dirk Sudholt, Xin Yao
2012 J jnl
Next challenges for adaptive learning systems.
SIGKDD Explor.
Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, João Gama, Leandro L. Minku, Katarzyna Musial
2012 B conf
Using unreliable data for creating more reliable online learners.
IJCNN
Leandro L. Minku, Xin Yao
2011 — conf
A principled evaluation of ensembles of learning machines for software effort estimation.
PROMISE
Leandro L. Minku, Xin Yao
2010 J jnl
Design of Experiments in Neuro-Fuzzy Systems.
Int. J. Comput. Intell. Appl.
Cleber Zanchettin, Leandro L. Minku, Teresa Bernarda Ludermir
2010 J jnl
The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift.
IEEE Trans. Knowl. Data Eng.
Leandro L. Minku, Allan P. White, Xin Yao