Design of Experiments in Neuro-Fuzzy Systems. - Cleber Zanchettin; Leandro L. Minku; Teresa Bernarda Ludermir (Int. J. Comput. Intell. Appl., 2010)

The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift. - Leandro L. Minku; Allan P. White; Xin Yao 001 (IEEE Trans. Knowl. Data Eng., 2010)

A principled evaluation of ensembles of learning machines for software effort estimation. - Leandro L. Minku; Xin Yao 001 (PROMISE, 2011)

Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design. - Leandro L. Minku; Dirk Sudholt; Xin Yao 001 (GECCO, 2012)

Using unreliable data for creating more reliable online learners. - Leandro L. Minku; Xin Yao 001 (IJCNN, 2012)

Can cross-company data improve performance in software effort estimation? - Leandro L. Minku; Xin Yao 001 (PROMISE, 2012)

Next challenges for adaptive learning systems. - Indre Zliobaite; Albert Bifet; Mohamed Medhat Gaber; Bogdan Gabrys; João Gama 001; Leandro L. Minku; Katarzyna Musial (SIGKDD Explor., 2012)

DDD: A New Ensemble Approach for Dealing with Concept Drift. - Leandro L. Minku; Xin Yao 001 (IEEE Trans. Knowl. Data Eng., 2012)

A learning framework for online class imbalance learning. - Shuo Wang 005; Leandro L. Minku; Xin Yao 001 (CIEL, 2013)

Data science for software engineering. - Tim Menzies; Ekrem Kocaguneli; Fayola Peters; Burak Turhan; Leandro L. Minku (ICSE, 2013)

Concept drift detection for online class imbalance learning. - Shuo Wang 005; Leandro L. Minku; Davide Ghezzi; Daniele Caltabiano; Peter Tiño; Xin Yao 001 (IJCNN, 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 001 (PROMISE, 2013)

The impact of parameter tuning on software effort estimation using learning machines. - Liyan Song; Leandro L. Minku; Xin Yao 001 (PROMISE, 2013)

Learning aesthetic judgements in evolutionary art systems. - Yang Li 007; Changjun Hu; Leandro L. Minku; Haolei Zuo (Genet. Program. Evolvable Mach., 2013)

Online Class Imbalance Learning and its Applications in Fault Detection. - Shuo Wang 005; Leandro L. Minku; Xin Yao 001 (Int. J. Comput. Intell. Appl., 2013)

Ensembles and locality: Insight on improving software effort estimation. - Leandro L. Minku; Xin Yao 001 (Inf. Softw. Technol., 2013)

Software effort estimation as a multiobjective learning problem. - Leandro L. Minku; Xin Yao 001 (ACM Trans. Softw. Eng. Methodol., 2013)

How to make best use of cross-company data in software effort estimation? - Leandro L. Minku; Xin Yao 001 (ICSE, 2014)

Measuring Energy Consumption for Web Service Product Configuration. - I. Made Murwantara; Behzad Bordbar; Leandro L. Minku (iiWAS, 2014)

A multi-objective ensemble method for online class imbalance learning. - Shuo Wang 005; Leandro L. Minku; Xin Yao 001 (IJCNN, 2014)

The potential benefit of relevance vector machine to software effort estimation. - Liyan Song; Leandro L. Minku; Xin Yao 001 (PROMISE, 2014)

Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics. - Pietro A. Consoli; Leandro L. Minku; Xin Yao 001 (SEAL, 2014)

Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases. - Mark Harman; Syed S. Islam; Yue Jia 001; Leandro L. Minku; Federica Sarro; Komsan Srivisut (SSBSE, 2014)

The Handbook of Engineering Self-Aware and Self-Expressive Systems. - Tao Chen 001; Funmilade Faniyi; Rami Bahsoon; Peter R. Lewis 001; Xin Yao 001; Leandro L. Minku; Lukas Esterle (CoRR, 2014)

Computational Intelligence for Software Engineering (NII Shonan Meeting 2014-13). - Hong Mei 001; Frank Neumann 001; Xin Yao 001; Leandro L. Minku (NII Shonan Meet. Rep., 2014)

Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis. - Leandro L. Minku; Dirk Sudholt; Xin Yao 001 (IEEE Trans. Software Eng., 2014)

An evolutionary algorithm for performance optimization at software architecture level. - Xin Du 003; Youcong Ni; Peng Ye 002; Xin Yao 001; Leandro L. Minku; Ruliang Xiao (CEC, 2015)

How to Make Best Use of Cross-Company Data for Web Effort Estimation? - Leandro L. Minku; Federica Sarro; Emilia Mendes; Filomena Ferrucci (ESEM, 2015)

The Art and Science of Analyzing Software Data; Quantitative Methods. - Tim Menzies; Leandro L. Minku; Fayola Peters (ICSE (2), 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 (ICSE (2), 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)

Software Quality, Energy Awareness, and More. - Jeffrey C. Carver; Aiko Yamashita; Leandro L. Minku; Mayy Habayeb; Sedef Akinli Koçak (IEEE Softw., 2015)

Resampling-Based Ensemble Methods for Online Class Imbalance Learning. - Shuo Wang 005; Leandro L. Minku; Xin Yao 001 (IEEE Trans. Knowl. Data Eng., 2015)

Which machine learning method do you need? - Leandro L. Minku (Perspectives on Data Science for Software Engineering, 2016)

The wisdom of the crowds in predictive modeling for software engineering. - Leandro L. Minku (Perspectives on Data Science for Software Engineering, 2016)

Diversifying Software Architecture for Sustainability: A Value-Based Perspective. - Dalia Sobhy; Rami Bahsoon; Leandro L. Minku; Rick Kazman (ECSA, 2016)

Dealing with Multiple Classes in Online Class Imbalance Learning. - Shuo Wang 005; Leandro L. Minku; Xin Yao 001 (IJCAI, 2016)

FEDD: Feature Extraction for Explicit Concept Drift Detection in time series. - Rodolfo Carneiro Cavalcante; Leandro L. Minku; Adriano L. I. Oliveira (IJCNN, 2016)

An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem. - Xiuli Wu; Pietro A. Consoli; Leandro L. Minku; Gabriela Ochoa; Xin Yao 001 (PPSN, 2016)

On the Terms Within- and Cross-Company in Software Effort Estimation. - Leandro L. Minku (PROMISE, 2016)

Data mining for software engineering and humans in the loop. - Leandro L. Minku; Emilia Mendes; Burak Turhan (Prog. Artif. Intell., 2016)

Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis. - Pietro A. Consoli; Yi Mei 001; Leandro L. Minku; Xin Yao 001 (Soft Comput., 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)

Regression Testing, Spoken Language, Crash-Inducing Commits, UML, and Legal Policy. - Jeffrey C. Carver; Jordi Cabot; Leandro L. Minku; Marco Torchiano (IEEE Softw., 2016)

Online Ensemble Learning of Data Streams with Gradually Evolved Classes. - Yu Sun 019; Ke Tang 001; Leandro L. Minku; Shuo Wang 005; Xin Yao 001 (IEEE Trans. Knowl. Data Eng., 2016)

Dynamic Software Project Scheduling through a Proactive-Rescheduling Method. - Xiao-Ning Shen; Leandro L. Minku; Rami Bahsoon; Xin Yao 001 (IEEE Trans. Software Eng., 2016)

Knowledge Representation and Modelling: Structures and Trade-Offs. - Leandro L. Minku; Lukas Esterle; Georg Nebehay; Renzhi Chen (Self-aware Computing Systems, 2016)

Common Techniques for Self-awareness and Self-expression. - Shuo Wang 005; Georg Nebehay; Lukas Esterle; Kristian Nymoen; Leandro L. Minku (Self-aware Computing Systems, 2016)

Effort and Cost in Software Engineering: A Comparison of Two Industrial Data Sets. - Hennie Huijgens; Arie van Deursen; Leandro L. Minku; Chris Lokan (EASE, 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 (ICTAI, 2017)

Clustering Dycom: An Online Cross-Company Software Effort Estimation Study. - Leandro L. Minku; Siqing Hou (PROMISE, 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 001 (Autom. Softw. Eng., 2017)

Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17). - Shuo Wang 005; Leandro L. Minku; Nitesh V. Chawla; Xin Yao 001 (CoRR, 2017)

Ensemble learning for data stream analysis: A survey. - Bartosz Krawczyk; Leandro L. Minku; João Gama 001; Jerzy Stefanowski; Michal Wozniak 001 (Inf. Fusion, 2017)

Data-Driven Search-Based Software Engineering (NII Shonan Meeting 2017-19). - Markus Wagner 007; Leandro L. Minku; Ahmed E. Hassan; John A. Clark (NII Shonan Meet. Rep., 2017)

Requirements, Human Values, and the Development Technology Landscape. - Jeffrey C. Carver; Leandro L. Minku; Birgit Penzenstadler (IEEE Softw., 2017)

Are 20% of files responsible for 80% of defects? - Neil Walkinshaw; Leandro L. Minku (ESEM, 2018)

Diversity-Based Pool of Models for Dealing with Recurring Concepts. - Chun Wai Chiu; Leandro L. Minku (IJCNN, 2018)

Data-driven search-based software engineering. - Vivek Nair; Amritanshu Agrawal; Jianfeng Chen; Wei Fu 002; George Mathew; Tim Menzies; Leandro L. Minku; Markus Wagner 007; Zhe Yu 002 (MSR, 2018)

A novel automated approach for software effort estimation based on data augmentation. - Liyan Song; Leandro L. Minku; Xin Yao 001 (ESEC/SIGSOFT FSE, 2018)

Reverse Engineering the Behaviour of Twitter Bots. - Bello Shehu Bello; Reiko Heckel; Leandro L. Minku (SNAMS, 2018)

A Systematic Study of Cross-Project Defect Prediction With Meta-Learning. - Faimison Rodrigues Porto; Leandro L. Minku; Emilia Mendes; Adenilso Simão (CoRR, 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 001; Ying Han (Inf. Sci., 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)

Guest editorial: special issue on predictive models for software quality. - Leandro L. Minku; Ayse Basar Bener; Burak Turhan (Softw. Qual. J., 2018)

A Systematic Study of Online Class Imbalance Learning With Concept Drift. - Shuo Wang 005; Leandro L. Minku; Xin Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Class imbalance evolution and verification latency in just-in-time software defect prediction. - George G. Cabral; Leandro L. Minku; Emad Shihab; Suhaib Mujahid (ICSE, 2019)

Multi-Source Transfer Learning for Non-Stationary Environments. - Honghui Du; Leandro L. Minku; Huiyu Zhou 001 (IJCNN, 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 (IJCNN, 2019)

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (SSCI, 2019)

Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior. - Sneha Saha; Thiago Rios; Leandro L. Minku; Xin Yao 001; Zhao Xu 001; Bernhard Sendhoff; Stefan Menzel (SSCI, 2019)

Learning from data streams and class imbalance. - Shuo Wang 005; Leandro L. Minku; Nitesh V. Chawla; Xin Yao 001 (Connect. Sci., 2019)

A novel online supervised hyperparameter tuning procedure applied to cross-company software effort estimation. - Leandro L. Minku (Empir. Softw. Eng., 2019)

Learning in the presence of class imbalance and concept drift. - Shuo Wang 005; Leandro L. Minku; Nitesh V. Chawla; Xin Yao 001 (Neurocomputing, 2019)

Highlights from ICSE 2019: Software Security and Mobile App Energy Consumption. - Jeffrey C. Carver; Leandro L. Minku (IEEE Softw., 2019)

Software Effort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling. - Liyan Song; Leandro L. Minku; Xin Yao 001 (ACM Trans. Softw. Eng. Methodol., 2019)

Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (CEC, 2020)

MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments. - Honghui Du; Leandro L. Minku; Huiyu Zhou 001 (ICDM, 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 (ICSE, 2020)

AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes. - Shuo Wang 005; Leandro L. Minku (IJCNN, 2020)

Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (PPSN (2), 2020)

Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. - Sneha Saha; Stefan Menzel; Leandro L. Minku; Xin Yao 001; Bernhard Sendhoff; Patricia Wollstadt (SSCI, 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; et al. (CoRR, 2020)

Better software analytics via "DUO": Data mining algorithms using/used-by optimizers. - Amritanshu Agrawal; Tim Menzies; Leandro L. Minku; Markus Wagner 007; Zhe Yu 002 (Empir. Softw. Eng., 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)

Run-time evaluation of architectures: A case study of diversification in IoT. - Dalia Sobhy; Leandro L. Minku; Rami Bahsoon; Tao Chen 001; Rick Kazman (J. Syst. 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)

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)

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (Zenodo, 2020)

Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (Zenodo, 2020)

Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization. - Sneha Saha; Leandro L. Minku; Xin Yao 001; Bernhard Sendhoff; Stefan Menzel (CEC, 2021)

A hybrid local search framework for the dynamic capacitated arc routing problem. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (GECCO Companion, 2021)

Multi-stream online transfer learning for software effort estimation: is it necessary? - Leandro L. Minku (PROMISE, 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 001; Thomas Bäck; Bernhard Sendhoff; Stefan Menzel (SSCI, 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 001 (SSCI, 2021)

[Conference Calendar]. - Marley M. B. R. Vellasco; Leandro L. Minku (IEEE Comput. Intell. Mag., 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)

A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (CoRR, 2021)

Multi-objective software performance optimisation at the architecture level using randomised search rules. - Youcong Ni; Xin Du 003; Peng Ye 002; Leandro L. Minku; Xin Yao 001; Mark Harman; Ruliang Xiao (Inf. Softw. Technol., 2021)

Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study. - Hao Tong; Changwu Huang; Leandro L. Minku; Xin Yao 001 (Inf. Sci., 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)

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)

Dynamic Evaluation of Microservice Granularity Adaptation. - Sara Hassan; Rami Bahsoon; Leandro L. Minku; Nour Ali (ACM Trans. Auton. Adapt. Syst., 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)

Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (CEC, 2022)

Evolving parsimonious circuits through shapley value-based genetic programming. - Xinming Shi; Jiashi Gao; Leandro L. Minku; Xin Yao 001 (GECCO Companion, 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 001 (GECCO, 2022)

Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer. - Sneha Saha; Leandro L. Minku; Xin Yao 001; Bernhard Sendhoff; Stefan Menzel (IJCNN, 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 001 (IJCNN, 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; et al. (Eur. J. Oper. Res., 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 001 (Genet. Program. Evolvable Mach., 2022)

Adaptive Memory-Enhanced Time Delay Reservoir and its Memristive Implementation. - Xinming Shi; Leandro L. Minku; Xin Yao 001 (IEEE Trans. Computers, 2022)

A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (IEEE Trans. Evol. Comput., 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 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)

Continuous and Proactive Software Architecture Evaluation: An IoT Case. - Dalia Sobhy; Leandro L. Minku; Rami Bahsoon; Rick Kazman (ACM Trans. Softw. Eng. Methodol., 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; et al. (Zenodo, 2022)

Explaining Memristive Reservoir Computing Through Evolving Feature Attribution. - Xinming Shi; Zilu Wang 002; Leandro L. Minku; Xin Yao 001 (GECCO Companion, 2023)

A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction. - Liyan Song; Leandro L. Minku; Cong Teng; Xin Yao 001 (ESEC/SIGSOFT FSE, 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)

Cross-Project Online Just-In-Time Software Defect Prediction. - Sadia Tabassum; Leandro L. Minku; Danyi Feng (IEEE Trans. Software Eng., 2023)

Artificial Intelligence in Software Project Management. - Liyan Song; Leandro L. Minku (Optimising the Software Development Process with Artificial Intelligence, 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., 2023)

Towards Reliable Online Just-in-Time Software Defect Prediction. - George G. Cabral; Leandro L. Minku (IEEE Trans. Software Eng., 2023)

Conference Calendar [Conference Calendar]. - Marley M. B. R. Vellasco; Leandro L. Minku (IEEE Comput. Intell. Mag., 2023)

HumLa-fse2023. - Liyan Song; Leandro L. Minku; Cong Teng; Xin Yao 001 (Zenodo, 2023)

OSNN: An Online Semisupervised Neural Network for Nonstationary Data Streams. - Rodrigo G. F. Soares; Leandro L. Minku (IEEE Trans. Neural Networks Learn. Syst., 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., 2023)

On the validity of retrospective predictive performance evaluation procedures in just-in-time software defect prediction. - Liyan Song; Leandro L. Minku; Xin Yao 001 (Empir. Softw. Eng., 2023)

Guest Editorial: Special Issue on Stream Learning. - Jie Lu 001; João Gama 001; Xin Yao 001; Leandro L. Minku (IEEE Trans. Neural Networks Learn. Syst., 2023)

Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification. - Pawel Zyblewski; Leandro L. Minku (ICDM (Workshops), 2024)

Tree-Based Genetic Programming for Evolutionary Analog Circuit with Approximate Shapley Value. - Xinming Shi; Leandro L. Minku; Xin Yao 001 (SGAI Conf. (1), 2024)

IEEE CIS VP-Conferences Vision Statement [Society Briefs]. - Leandro L. Minku (IEEE Comput. Intell. Mag., 2024)

Smoclust: synthetic minority oversampling based on stream clustering for evolving data streams. - Chun Wai Chiu; Leandro L. Minku (Mach. Learn., 2024)

Evolving Memristive Reservoir. - Xinming Shi; Leandro L. Minku; Xin Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 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., 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 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Online ensemble model compression for nonstationary data stream learning. - Rodrigo G. F. Soares; Leandro L. Minku (Neural Networks, 2025)

Acknowledging Volunteers Associated With 2024 IEEE CIS Conference Management [Society Briefs]. - Leandro L. Minku (IEEE Comput. Intell. Mag., 2025)

Conference Calendar [Conference Calendar]. - Leandro Lei Minku; Liyan Song (IEEE Comput. Intell. Mag., 2025)

Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network. - Gan Ruan; Leandro L. Minku; Zhao Xu 001; Xin Yao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Conference Calendar [Conference Calendar]. - Leandro Lei Minku; Handing Wang (IEEE Comput. Intell. Mag., 2025)

Learning to Expand/Contract Pareto Sets in Dynamic Multiobjective Optimization With a Changing Number of Objectives. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (IEEE Trans. Evol. Comput., 2025)