| 2025 | DSAA | The Value of Diversity for Dealing with Concept Drift in Class-Imbalanced Data Streams. | Chun Wai Chiu, Leandro L. Minku |
| 2025 | DSAA | Hyperon: An Online Hyperparameter Tuning Approach for Data Stream Learning. | Sadia Tabassum, Leandro L. Minku |
| 2025 | ICDM | Multi-Label Transfer Learning in Non-Stationary Data Streams. | Honghui Du, Leandro L. Minku, Aonghus Lawlor, Huiyu Zhou |
| 2024 | ICDM | Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification. | Pawel Zyblewski, Leandro L. Minku |
| 2024 | SGAI | Tree-Based Genetic Programming for Evolutionary Analog Circuit with Approximate Shapley Value. | Xinming Shi, Leandro L. Minku, Xin Yao |
| 2023 | GECCO | Explaining Memristive Reservoir Computing Through Evolving Feature Attribution. | Xinming Shi, Zilu Wang, Leandro L. Minku, Xin Yao |
| 2023 | GECCO | A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. | Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao |
| 2022 | CEC | Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation. | Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao |
| 2022 | GECCO | Evolving parsimonious circuits through shapley value-based genetic programming. | Xinming Shi, Jiashi Gao, Leandro L. Minku, Xin Yao |
| 2022 | GECCO | 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 |
| 2022 | IJCNN | 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 |
| 2022 | IJCNN | A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency. | Liyan Song, Shuxian Li, Leandro L. Minku, Xin Yao |
| 2021 | CEC | Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization. | Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel |
| 2021 | GECCO | A hybrid local search framework for the dynamic capacitated arc routing problem. | Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao |
| 2020 | CEC | Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. | Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao |
| 2020 | ICDM | MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments. | Honghui Du, Leandro L. Minku, Huiyu Zhou |
| 2020 | IJCNN | AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes. | Shuo Wang, Leandro L. Minku |
| 2020 | ICSE | 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 |
| 2020 | PPSN | Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems. | Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao |
| 2019 | IJCNN | Multi-Source Transfer Learning for Non-Stationary Environments. | Honghui Du, Leandro L. Minku, Huiyu Zhou |
| 2019 | IJCNN | 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 |
| 2019 | ICSE | Class imbalance evolution and verification latency in just-in-time software defect prediction. | George G. Cabral, Leandro L. Minku, Emad Shihab, Suhaib Mujahid |
| 2018 | ESEM | Are 20% of files responsible for 80% of defects? | Neil Walkinshaw, Leandro L. Minku |
| 2018 | IJCNN | Diversity-Based Pool of Models for Dealing with Recurring Concepts. | Chun Wai Chiu, Leandro L. Minku |
| 2018 | MSR | 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 |
| 2017 | EASE | Effort and Cost in Software Engineering: A Comparison of Two Industrial Data Sets. | Hennie Huijgens, Arie van Deursen, Leandro L. Minku, Chris Lokan |
| 2017 | ICTAI | 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 |
| 2016 | ECSA | Diversifying Software Architecture for Sustainability: A Value-Based Perspective. | Dalia Sobhy, Rami Bahsoon, Leandro L. Minku, Rick Kazman |
| 2016 | IJCAI | Dealing with Multiple Classes in Online Class Imbalance Learning. | Shuo Wang, Leandro L. Minku, Xin Yao |
| 2016 | IJCNN | FEDD: Feature Extraction for Explicit Concept Drift Detection in time series. | Rodolfo Carneiro Cavalcante, Leandro L. Minku, Adriano L. I. Oliveira |
| 2016 | PPSN | An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem. | Xiuli Wu, Pietro A. Consoli, Leandro L. Minku, Gabriela Ochoa, Xin Yao |
| 2015 | CEC | An evolutionary algorithm for performance optimization at software architecture level. | Xin Du, Youcong Ni, Peng Ye, Xin Yao, Leandro L. Minku, Ruliang Xiao |
| 2015 | ESEM | How to Make Best Use of Cross-Company Data for Web Effort Estimation? | Leandro L. Minku, Federica Sarro, Emilia Mendes, Filomena Ferrucci |
| 2015 | ICSE | The Art and Science of Analyzing Software Data; Quantitative Methods. | Tim Menzies, Leandro L. Minku, Fayola Peters |
| 2015 | ICSE | 4th International Workshop on Realizing AI Synergies in Software Engineering (RAISE 2015). | Burak Turhan, Ayse Basar Bener, Rachel Harrison, Andriy V. Miranskyy, etin Merili, Leandro L. Minku |
| 2014 | IIWAS | Measuring Energy Consumption for Web Service Product Configuration. | I. Made Murwantara, Behzad Bordbar, Leandro L. Minku |
| 2014 | IJCNN | A multi-objective ensemble method for online class imbalance learning. | Shuo Wang, Leandro L. Minku, Xin Yao |
| 2014 | ICSE | How to make best use of cross-company data in software effort estimation? | Leandro L. Minku, Xin Yao |
| 2014 | SSBSE | 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 |
| 2013 | IJCNN | Concept drift detection for online class imbalance learning. | Shuo Wang, Leandro L. Minku, Davide Ghezzi, Daniele Caltabiano, Peter Tio, Xin Yao |
| 2013 | ICSE | Data science for software engineering. | Tim Menzies, Ekrem Kocaguneli, Fayola Peters, Burak Turhan, Leandro L. Minku |
| 2012 | GECCO | Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design. | Leandro L. Minku, Dirk Sudholt, Xin Yao |
| 2012 | IJCNN | Using unreliable data for creating more reliable online learners. | Leandro L. Minku, Xin Yao |