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ORCIDLeandro L. Minku
Leandro Lei Minku
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- affiliation: University of Birmingham, UK
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Journal Articles
- 2024
[j69]Leandro L. Minku
:
IEEE CIS VP-Conferences Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. 19(1): 6-7 (2024)- [j68]Leandro L. Minku, Liyan Song:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19(1): 88 (2024) - [j67]Leandro L. Minku, Liyan Song:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19(2): 142 (2024) - [j66]Leandro Lei Minku, Liyan Song:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19(3): 88 (2024) - [j65]George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira, Dinaldo A. Pessoa, Sadia Tabassum:
Correction to: An investigation of online and offline learning models for online just-in-time software defect prediction. Empir. Softw. Eng. 29(6): 151 (2024) - [j64]Chun Wai Chiu, Leandro L. Minku:
Smoclust: synthetic minority oversampling based on stream clustering for evolving data streams. Mach. Learn. 113(7): 4671-4721 (2024) - [j63]Xinming Shi, Leandro L. Minku, Xin Yao:
Evolving Memristive Reservoir. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13574-13588 (2024) - 2023
- [j62]Marley M. B. R. Vellasco, Leandro L. Minku:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 18(2): 104 (2023) - [j61]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): 121 (2023) - [j60]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): 124 (2023) - [j59]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): 2048-2060 (2023) - [j58]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): 6029-6041 (2023) - [j57]Jie Lu, João Gama, Xin Yao, Leandro L. Minku:
Guest Editorial: Special Issue on Stream Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6683-6685 (2023) - [j56]Sadia Tabassum, Leandro L. Minku, Danyi Feng:
Cross-Project Online Just-In-Time Software Defect Prediction. IEEE Trans. Software Eng. 49(1): 268-287 (2023) - [j55]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): 646-666 (2023) - [j54]George G. Cabral, Leandro L. Minku:
Towards Reliable Online Just-in-Time Software Defect Prediction. IEEE Trans. Software Eng. 49(3): 1342-1358 (2023) - 2022
- [j53]Marley M. B. R. Vellasco, Leandro L. Minku:
[Conference Calendar]. IEEE Comput. Intell. Mag. 17(1): 116 (2022) - [j52]Marley M. B. R. Vellasco, Leandro L. Minku:
[Conference Calendar]. IEEE Comput. Intell. Mag. 17(2): 104 (2022) - [j51]Marley M. B. R. Vellasco, Leandro L. Minku:
[Conference Calendar]. IEEE Comput. Intell. Mag. 17(3): 66 (2022) - [j50]Marley M. B. R. Vellasco, Leandro L. Minku:
Conference Calendar. IEEE Comput. Intell. Mag. 17(4): 70 (2022) - [j49]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): 393-406 (2022) - [j48]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): 453-493 (2022) - [j47]Xinming Shi, Leandro L. Minku, Xin Yao:
Adaptive Memory-Enhanced Time Delay Reservoir and its Memristive Implementation. IEEE Trans. Computers 71(11): 2766-2777 (2022) - [j46]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): 1380-1393 (2022) - [j45]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): 1486-1500 (2022) - [j44]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): 1299-1309 (2022) - [j43]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): 46:1-46:54 (2022) - 2021
- [j42]Marley M. B. R. Vellasco, Leandro L. Minku:
[Conference Calendar]. IEEE Comput. Intell. Mag. 16(4): 100 (2021) - [j41]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: 106565 (2021) - [j40]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: 414-437 (2021) - [j39]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): 1429-1469 (2021) - [j38]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): 23-24 (2021) - [j37]Sara Hassan, Rami Bahsoon, Leandro L. Minku, Nour Ali:
Dynamic Evaluation of Microservice Granularity Adaptation. ACM Trans. Auton. Adapt. Syst. 16(2): 4:1-4:35 (2021) - [j36]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): 51:1-51:50 (2021) - 2020
- [j35]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): 1533-1535 (2020) - [j34]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): 2099-2136 (2020) - [j33]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) - [j32]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) - [j31]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): 83-86 (2020) - 2019
- [j30]Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao:
Learning from data streams and class imbalance. Connect. Sci. 31(2): 103-104 (2019) - [j29]Leandro L. Minku:
A novel online supervised hyperparameter tuning procedure applied to cross-company software effort estimation. Empir. Softw. Eng. 24(5): 3153-3204 (2019) - [j28]Shuo Wang, Leandro L. Minku, Nitesh V. Chawla, Xin Yao:
Learning in the presence of class imbalance and concept drift. Neurocomputing 343: 1-2 (2019) - [j27]Jeffrey C. Carver, Leandro L. Minku:
Highlights from ICSE 2019: Software Security and Mobile App Energy Consumption. IEEE Softw. 36(5): 29-31 (2019) - [j26]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): 5:1-5:46 (2019) - 2018
- [j25]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: 1-29 (2018) - [j24]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): 8-11 (2018) - [j23]Leandro L. Minku, Ayse Basar Bener, Burak Turhan:
Guest editorial: special issue on predictive models for software quality. Softw. Qual. J. 26(2): 521-523 (2018) - [j22]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): 4802-4821 (2018) - 2017
- [j21]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): 499-542 (2017) - [j20]Bartosz Krawczyk, Leandro L. Minku, João Gama, Jerzy Stefanowski, Michal Wozniak:
Ensemble learning for data stream analysis: A survey. Inf. Fusion 37: 132-156 (2017) - [j19]Jeffrey C. Carver, Leandro L. Minku, Birgit Penzenstadler:
Requirements, Human Values, and the Development Technology Landscape. IEEE Softw. 34(1): 13-15 (2017) - 2016
- [j18]Leandro L. Minku, Emilia Mendes, Burak Turhan:
Data mining for software engineering and humans in the loop. Prog. Artif. Intell. 5(4): 307-314 (2016) - [j17]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): 3889-3914 (2016) - [j16]Jeffrey C. Carver, Jordi Cabot, Leandro L. Minku, Marco Torchiano:
Regression Testing, Spoken Language, Crash-Inducing Commits, UML, and Legal Policy. IEEE Softw. 33(2): 26-28 (2016) - [j15]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): 29-31 (2016) - [j14]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): 1532-1545 (2016) - [j13]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): 658-686 (2016) - 2015
- [j12]Mohammad Azzeh, Ali Bou Nassif, Leandro L. Minku:
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. J. Syst. Softw. 103: 36-52 (2015) - [j11]Jeffrey C. Carver, Aiko Yamashita, Leandro L. Minku, Mayy Habayeb, Sedef Akinli Koçak:
Software Quality, Energy Awareness, and More. IEEE Softw. 32(6): 98-100 (2015) - [j10]Shuo Wang, Leandro L. Minku, Xin Yao:
Resampling-Based Ensemble Methods for Online Class Imbalance Learning. IEEE Trans. Knowl. Data Eng. 27(5): 1356-1368 (2015) - 2014
- [j9]Leandro L. Minku, Dirk Sudholt, Xin Yao:
Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis. IEEE Trans. Software Eng. 40(1): 83-102 (2014) - 2013
- [j8]Yang Li, Changjun Hu, Leandro L. Minku, Haolei Zuo:
Learning aesthetic judgements in evolutionary art systems. Genet. Program. Evolvable Mach. 14(3): 315-337 (2013) - [j7]Shuo Wang, Leandro L. Minku, Xin Yao:
Online Class Imbalance Learning and its Applications in Fault Detection. Int. J. Comput. Intell. Appl. 12(4) (2013) - [j6]Leandro L. Minku, Xin Yao:
Ensembles and locality: Insight on improving software effort estimation. Inf. Softw. Technol. 55(8): 1512-1528 (2013) - [j5]Leandro L. Minku, Xin Yao:
Software effort estimation as a multiobjective learning problem. ACM Trans. Softw. Eng. Methodol. 22(4): 35:1-35:32 (2013) - 2012
- [j4]Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, João Gama, Leandro L. Minku, Katarzyna Musial:
Next challenges for adaptive learning systems. SIGKDD Explor. 14(1): 48-55 (2012) - [j3]Leandro L. Minku, Xin Yao:
DDD: A New Ensemble Approach for Dealing with Concept Drift. IEEE Trans. Knowl. Data Eng. 24(4): 619-633 (2012) - 2010
- [j2]Cleber Zanchettin, Leandro L. Minku, Teresa Bernarda Ludermir:
Design of Experiments in Neuro-Fuzzy Systems. Int. J. Comput. Intell. Appl. 9(2): 137-152 (2010) - [j1]Leandro L. Minku, Allan P. White, Xin Yao:
The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift. IEEE Trans. Knowl. Data Eng. 22(5): 730-742 (2010)
Conference and Workshop Papers
- 2023
- [c56]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: 45-46 - [c55]Xinming Shi, Zilu Wang, Leandro L. Minku, Xin Yao:
Explaining Memristive Reservoir Computing Through Evolving Feature Attribution. GECCO Companion 2023: 683-686 - [c54]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: 605-617 - 2022
- [c53]Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation. CEC 2022: 1-8 - [c52]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: 305-313 - [c51]Xinming Shi, Jiashi Gao, Leandro L. Minku, Xin Yao:
Evolving parsimonious circuits through shapley value-based genetic programming. GECCO Companion 2022: 602-605 - [c50]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: 1-9 - [c49]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: 1-8 - 2021
- [c48]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: 1767-1776 - [c47]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: 139-140 - [c46]Leandro L. Minku:
Multi-stream online transfer learning for software effort estimation: is it necessary? PROMISE 2021: 11-20 - [c45]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: 1-9 - [c44]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: 1-8 - 2020
- [c43]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: 1-8 - [c42]Honghui Du, Leandro L. Minku, Huiyu Zhou:
MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments. ICDM 2020: 122-131 - [c41]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: 554-565 - [c40]Shuo Wang, Leandro L. Minku:
AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes. IJCNN 2020: 1-8 - [c39]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: 428-440 - [c38]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: 1469-1477 - 2019
- [c37]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: 666-676 - [c36]Honghui Du, Leandro L. Minku, Huiyu Zhou:
Multi-Source Transfer Learning for Non-Stationary Environments. IJCNN 2019: 1-8 - [c35]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: 1-8 - [c34]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: 858-866 - [c33]Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. SSCI 2019: 2034-2041 - 2018
- [c32]Neil Walkinshaw, Leandro L. Minku:
Are 20% of files responsible for 80% of defects? ESEM 2018: 2:1-2:10 - [c31]Chun Wai Chiu, Leandro L. Minku:
Diversity-Based Pool of Models for Dealing with Recurring Concepts. IJCNN 2018: 1-8 - [c30]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: 341-352 - [c29]Liyan Song, Leandro L. Minku, Xin Yao:
A novel automated approach for software effort estimation based on data augmentation. ESEC/SIGSOFT FSE 2018: 468-479 - [c28]Bello Shehu Bello, Reiko Heckel, Leandro L. Minku:
Reverse Engineering the Behaviour of Twitter Bots. SNAMS 2018: 27-34 - 2017
- [c27]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: 51-60 - [c26]Gustavo H. F. M. Oliveira, Rodolfo Carneiro 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: 239-246 - [c25]Leandro L. Minku, Siqing Hou:
Clustering Dycom: An Online Cross-Company Software Effort Estimation Study. PROMISE 2017: 12-21 - 2016
- [c24]Dalia Sobhy, Rami Bahsoon, Leandro L. Minku, Rick Kazman:
Diversifying Software Architecture for Sustainability: A Value-Based Perspective. ECSA 2016: 55-63 - [c23]Shuo Wang, Leandro L. Minku, Xin Yao:
Dealing with Multiple Classes in Online Class Imbalance Learning. IJCAI 2016: 2118-2124 - [c22]Rodolfo Carneiro Cavalcante, Leandro L. Minku, Adriano L. I. Oliveira:
FEDD: Feature Extraction for Explicit Concept Drift Detection in time series. IJCNN 2016: 740-747 - [c21]Xiuli Wu, Pietro A. Consoli, Leandro L. Minku, Gabriela Ochoa, Xin Yao:
An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem. PPSN 2016: 37-47 - [c20]Leandro L. Minku:
On the Terms Within- and Cross-Company in Software Effort Estimation. PROMISE 2016: 4:1-4:4 - 2015
- [c19]Xin Du, Youcong Ni, Peng Ye, Xin Yao, Leandro L. Minku, Ruliang Xiao:
An evolutionary algorithm for performance optimization at software architecture level. CEC 2015: 2129-2136 - [c18]Leandro L. Minku, Federica Sarro, Emilia Mendes, Filomena Ferrucci:
How to Make Best Use of Cross-Company Data for Web Effort Estimation? ESEM 2015: 172-181 - [c17]Tim Menzies, Leandro L. Minku, Fayola Peters:
The Art and Science of Analyzing Software Data; Quantitative Methods. ICSE (2) 2015: 959-960 - [c16]Burak Turhan, Ayse Basar Bener, Rachel Harrison, Andriy V. Miranskyy, Çetin Meriçli, Leandro L. Minku:
4th International Workshop on Realizing AI Synergies in Software Engineering (RAISE 2015). ICSE (2) 2015: 991-992 - 2014
- [c15]Leandro L. Minku, Xin Yao:
How to make best use of cross-company data in software effort estimation? ICSE 2014: 446-456 - [c14]I. Made Murwantara, Behzad Bordbar, Leandro L. Minku:
Measuring Energy Consumption for Web Service Product Configuration. iiWAS 2014: 224-228 - [c13]Shuo Wang, Leandro L. Minku, Xin Yao:
A multi-objective ensemble method for online class imbalance learning. IJCNN 2014: 3311-3318 - [c12]Liyan Song, Leandro L. Minku, Xin Yao:
The potential benefit of relevance vector machine to software effort estimation. PROMISE 2014: 52-61 - [c11]Pietro A. Consoli, Leandro L. Minku, Xin Yao:
Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics. SEAL 2014: 359-370 - [c10]Mark Harman, Syed S. Islam, Yue Jia, Leandro L. Minku, Federica Sarro, Komsan Srivisut:
Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases. SSBSE 2014: 240-246 - 2013
- [c9]Shuo Wang, Leandro L. Minku, Xin Yao:
A learning framework for online class imbalance learning. CIEL 2013: 36-45 - [c8]Tim Menzies, Ekrem Kocaguneli, Fayola Peters, Burak Turhan, Leandro L. Minku:
Data science for software engineering. ICSE 2013: 1484-1486 - [c7]Shuo Wang, Leandro L. Minku, Davide Ghezzi, Daniele Caltabiano, Peter Tiño, Xin Yao:
Concept drift detection for online class imbalance learning. IJCNN 2013: 1-10 - [c6]Leandro L. Minku, Xin Yao:
An analysis of multi-objective evolutionary algorithms for training ensemble models based on different performance measures in software effort estimation. PROMISE 2013: 8:1-8:10 - [c5]Liyan Song, Leandro L. Minku, Xin Yao:
The impact of parameter tuning on software effort estimation using learning machines. PROMISE 2013: 9:1-9:10 - 2012
- [c4]Leandro L. Minku, Dirk Sudholt, Xin Yao:
Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design. GECCO 2012: 1221-1228 - [c3]Leandro L. Minku, Xin Yao:
Using unreliable data for creating more reliable online learners. IJCNN 2012: 1-8 - [c2]Leandro L. Minku, Xin Yao:
Can cross-company data improve performance in software effort estimation? PROMISE 2012: 69-78 - 2011
- [c1]Leandro L. Minku, Xin Yao:
A principled evaluation of ensembles of learning machines for software effort estimation. PROMISE 2011: 9
Parts in Books or Collections
- 2023
- [p5]Liyan Song, Leandro L. Minku:
Artificial Intelligence in Software Project Management. Optimising the Software Development Process with Artificial Intelligence 2023: 19-65 - 2016
- [p4]Leandro L. Minku:
Which machine learning method do you need? Perspectives on Data Science for Software Engineering 2016: 155-159 - [p3]Leandro L. Minku:
The wisdom of the crowds in predictive modeling for software engineering. Perspectives on Data Science for Software Engineering 2016: 199-204 - [p2]Leandro L. Minku, Lukas Esterle, Georg Nebehay, Renzhi Chen:
Knowledge Representation and Modelling: Structures and Trade-Offs. Self-aware Computing Systems 2016: 79-111 - [p1]Shuo Wang, Georg Nebehay, Lukas Esterle, Kristian Nymoen, Leandro L. Minku:
Common Techniques for Self-awareness and Self-expression. Self-aware Computing Systems 2016: 113-142
Editorship
- 2020
- [e5]Leandro L. Minku, Tim Menzies, Meiyappan Nagappan:
PROMISE '20: 16th International Conference on Predictive Models and Data Analytics in Software Engineering, Virtual Event, USA, November 8-9, 2020. ACM 2020, ISBN 978-1-4503-8127-7 [contents] - 2019
- [e4]Leandro L. Minku, Foutse Khomh, Jean Petric:
Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2019, Recife, Brazil, September 18, 2019. ACM 2019, ISBN 978-1-4503-7233-6 [contents] - 2018
- [e3]Walter F. Tichy, Leandro L. Minku:
6th IEEE/ACM International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE@ICSE 2018, Gothenburg, Sweden, May 27, 2018. ACM 2018, ISBN 978-1-4503-5723-4 [contents] - 2015
- [e2]Ayse Bener, Leandro L. Minku, Burak Turhan:
Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015, Beijing, China, October 21, 2015. ACM 2015, ISBN 978-1-4503-3715-1 [contents] - 2014
- [e1]Burak Turhan, Ayse Basar Bener, Çetin Meriçli, Andriy V. Miranskyy, Leandro L. Minku:
3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2014, Hyderabad, India, June 3, 2014. ACM 2014, ISBN 978-1-4503-2846-3 [contents]
Data and Artifacts
- 2023
- [d4]Liyan Song, Leandro L. Minku, Cong Teng, Xin Yao:
HumLa-fse2023. Zenodo, 2023
- 2022
- [d3]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:
Complementary material for the book "Optimising the Software Development Process with Artificial Intelligence". Zenodo, 2022 - 2020
- [d2]Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. Zenodo, 2020 - [d1]Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. Zenodo, 2020
Informal and Other Publications
- 2024
- [i17]Pawel Zyblewski, Leandro L. Minku:
Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification. CoRR abs/2408.02568 (2024) - 2023
- [i16]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 abs/2306.10668 (2023) - [i15]Chun Wai Chiu, Leandro L. Minku:
SMOClust: Synthetic Minority Oversampling based on Stream Clustering for Evolving Data Streams. CoRR abs/2308.14845 (2023) - 2022
- [i14]Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao:
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network. CoRR abs/2201.04361 (2022) - 2021
- [i13]Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira:
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model. CoRR abs/2102.05983 (2021) - [i12]Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems. CoRR abs/2104.06585 (2021) - 2020
- [i11]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 abs/2011.09821 (2020) - 2019
- [i10]Honghui Du, Leandro L. Minku, Huiyu Zhou:
Multi-Source Transfer Learning for Non-Stationary Environments. CoRR abs/1901.02052 (2019) - 2018
- [i9]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 abs/1801.10241 (2018) - [i8]Faimison Rodrigues Porto, Leandro L. Minku, Emilia Mendes, Adenilso Simão:
A Systematic Study of Cross-Project Defect Prediction With Meta-Learning. CoRR abs/1802.06025 (2018) - [i7]Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu:
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers. CoRR abs/1812.01550 (2018) - 2017
- [i6]Mohammad Azzeh, Ali Bou Nassif, Leandro L. Minku:
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. CoRR abs/1703.04568 (2017) - [i5]Shuo Wang, Leandro L. Minku, Xin Yao:
A Systematic Study of Online Class Imbalance Learning with Concept Drift. CoRR abs/1703.06683 (2017) - [i4]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 abs/1707.09425 (2017) - [i3]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) - 2014
- [i2]Tao Chen, Funmilade Faniyi, Rami Bahsoon, Peter R. Lewis, Xin Yao, Leandro L. Minku, Lukas Esterle:
The Handbook of Engineering Self-Aware and Self-Expressive Systems. CoRR abs/1409.1793 (2014) - [i1]Hong Mei, Frank Neumann, Xin Yao, Leandro L. Minku:
Computational Intelligence for Software Engineering (NII Shonan Meeting 2014-13). NII Shonan Meet. Rep. 2014 (2014)
Coauthor Index
Adriano Lorena Inácio de Oliveira
aka: Adriano L. I. Oliveira
aka: Adriano L. I. Oliveira
[j63] [j60] [j57] [j48] [j47] [j45] [j41] [j40] [j30] [j28] [j26] [j22] [j21] [j17] [j14] [j13] [j10] [j9] [j7] [j6] [j5] [j3] [j1] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c45] [c44] [c43] [c39] [c38] [c34] [c33] [c29] [c23] [c21] [c19] [c15] [c13] [c12] [c11] [c9] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [d4] [d2] [d1] [i16] [i14] [i12] [i5] [i4] [i2] [i1]
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