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Leandro L. Minku
Leandro Lei Minku
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- affiliation: University of Birmingham, UK
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2020 – today
- 2025
- [j73]Leandro L. Minku:
Acknowledging Volunteers Associated With 2024 IEEE CIS Conference Management [Society Briefs]. IEEE Comput. Intell. Mag. 20(1): 12-13 (2025) - [j72]Leandro Lei Minku, Liyan Song:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 20(1): 96 (2025) - [j71]Rodrigo G. F. Soares, Leandro L. Minku:
Online ensemble model compression for nonstationary data stream learning. Neural Networks 185: 107151 (2025) - 2024
- [j70]Leandro L. Minku
:
IEEE CIS VP-Conferences Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. 19(1): 6-7 (2024) - [j69]Leandro L. Minku
, Liyan Song
:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19(1): 88 (2024) - [j68]Leandro L. Minku
, Liyan Song
:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19(2): 142 (2024) - [j67]Leandro Lei Minku
, Liyan Song
:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 19(3): 88 (2024) - [j66]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) - [j65]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) - [j64]Gan Ruan
, Leandro L. Minku
, Stefan Menzel
, Bernhard Sendhoff
, Xin Yao
:
Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 4210-4224 (2024) - [j63]Xinming Shi
, Leandro L. Minku
, Xin Yao
:
Evolving Memristive Reservoir. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13574-13588 (2024) - [c57]Xinming Shi
, Leandro L. Minku
, Xin Yao
:
Tree-Based Genetic Programming for Evolutionary Analog Circuit with Approximate Shapley Value. SGAI Conf. (1) 2024: 253-267 - [i17]Pawel Zyblewski, Leandro L. Minku:
Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification. CoRR abs/2408.02568 (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) - [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 - [p5]Liyan Song, Leandro L. Minku
:
Artificial Intelligence in Software Project Management. Optimising the Software Development Process with Artificial Intelligence 2023: 19-65 - [d4]Liyan Song
, Leandro L. Minku
, Cong Teng
, Xin Yao
:
HumLa-fse2023. Zenodo, 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
- [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) - [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 - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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] - [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 - [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)
2010 – 2019
- 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) - [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 - [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] - [i10]Honghui Du, Leandro L. Minku, Huiyu Zhou:
Multi-Source Transfer Learning for Non-Stationary Environments. CoRR abs/1901.02052 (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) - [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 - [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] - [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
- [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) - [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 - [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]