Leandro L. Minku
University of Birmingham, UK
http://www.cs.bham.ac.uk/~minkull/
https://scholar.google.com/citations?user=meC54dkAAAAJ
https://dl.acm.org/profile/81458658077
https://orcid.org/0000-0002-2639-0671
https://www.wikidata.org/entity/Q60659138
Leandro L. Minku
IEEE CIS VP-Conferences Vision Statement [Society Briefs].
6-7
2024
February
19
IEEE Comput. Intell. Mag.
1
https://doi.org/10.1109/MCI.2023.3332538
db/journals/cim/cim19.html#Minku24
Leandro L. Minku
Liyan Song
Conference Calendar [Conference Calendar].
88
2024
February
19
IEEE Comput. Intell. Mag.
1
https://doi.org/10.1109/MCI.2023.3333132
db/journals/cim/cim19.html#MinkuS24
Marley M. B. R. Vellasco
Leandro L. Minku
Conference Calendar [Conference Calendar].
104
2023
May
18
IEEE Comput. Intell. Mag.
2
https://doi.org/10.1109/MCI.2023.3251819
db/journals/cim/cim18.html#VellascoM23
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.
121
2023
October
28
Empir. Softw. Eng.
5
https://doi.org/10.1007/s10664-023-10335-6
db/journals/ese/ese28.html#CabralMOPT23
Liyan Song
Leandro L. Minku
Xin Yao 0001
On the validity of retrospective predictive performance evaluation procedures in just-in-time software defect prediction.
124
2023
October
28
Empir. Softw. Eng.
5
https://doi.org/10.1007/s10664-023-10341-8
db/journals/ese/ese28.html#SongMY23
Gustavo H. F. M. Oliveira
Leandro L. Minku
Adriano L. I. Oliveira
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach.
2048-2060
2023
35
IEEE Trans. Knowl. Data Eng.
2
https://doi.org/10.1109/TKDE.2021.3099690
db/journals/tkde/tkde35.html#OliveiraMO23
Rodrigo G. F. Soares
Leandro L. Minku
OSNN: An Online Semisupervised Neural Network for Nonstationary Data Streams.
6029-6041
2023
September
34
IEEE Trans. Neural Networks Learn. Syst.
9
https://doi.org/10.1109/TNNLS.2021.3132584
db/journals/tnn/tnn34.html#SoaresM23
Jie Lu 0001
João Gama 0001
Xin Yao 0001
Leandro L. Minku
Guest Editorial: Special Issue on Stream Learning.
6683-6685
2023
October
34
IEEE Trans. Neural Networks Learn. Syst.
10
https://doi.org/10.1109/TNNLS.2023.3304146
db/journals/tnn/tnn34.html#LuGYM23
Sadia Tabassum
Leandro L. Minku
Danyi Feng
Cross-Project Online Just-In-Time Software Defect Prediction.
268-287
2023
49
IEEE Trans. Software Eng.
1
https://doi.org/10.1109/TSE.2022.3150153
db/journals/tse/tse49.html#TabassumMF23
Liyan Song
Leandro L. Minku
A Procedure to Continuously Evaluate Predictive Performance of Just-In-Time Software Defect Prediction Models During Software Development.
646-666
2023
February
49
IEEE Trans. Software Eng.
2
https://doi.org/10.1109/TSE.2022.3158831
db/journals/tse/tse49.html#SongM23
George G. Cabral
Leandro L. Minku
Towards Reliable Online Just-in-Time Software Defect Prediction.
1342-1358
2023
March
49
IEEE Trans. Software Eng.
3
https://doi.org/10.1109/TSE.2022.3175789
db/journals/tse/tse49.html#CabralM23
Hao Tong
Leandro L. Minku
Stefan Menzel
Bernhard Sendhoff
Xin Yao 0001
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems.
45-46
2023
GECCO Companion
https://doi.org/10.1145/3583133.3595829
conf/gecco/2023c
db/conf/gecco/gecco2023c.html#TongMMS023
Xinming Shi
Zilu Wang
Leandro L. Minku
Xin Yao 0001
Explaining Memristive Reservoir Computing Through Evolving Feature Attribution.
683-686
2023
GECCO Companion
https://doi.org/10.1145/3583133.3590619
conf/gecco/2023c
db/conf/gecco/gecco2023c.html#ShiWM023
Liyan Song
Leandro L. Minku
Cong Teng
Xin Yao 0001
A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction.
605-617
2023
ESEC/SIGSOFT FSE
https://doi.org/10.1145/3611643.3616307
conf/sigsoft/2023
db/conf/sigsoft/fse2023.html#SongMT023
Liyan Song
Leandro L. Minku
Artificial Intelligence in Software Project Management.
19-65
2023
Optimising the Software Development Process with Artificial Intelligence
https://doi.org/10.1007/978-981-19-9948-2_2
series/ncs/2023RBC
db/series/ncs/RBC2023.html#SongM23
Liyan Song
Leandro L. Minku
Cong Teng
Xin Yao 0001
HumLa-fse2023.
2023
August
https://doi.org/10.5281/zenodo.8272293
Zenodo
Gan Ruan
Leandro L. Minku
Stefan Menzel
Bernhard Sendhoff
Xin Yao 0001
Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives.
2023
abs/2306.10668
CoRR
https://doi.org/10.48550/arXiv.2306.10668
db/journals/corr/corr2306.html#abs-2306-10668
Chun Wai Chiu
Leandro L. Minku
SMOClust: Synthetic Minority Oversampling based on Stream Clustering for Evolving Data Streams.
2023
abs/2308.14845
CoRR
https://doi.org/10.48550/arXiv.2308.14845
db/journals/corr/corr2308.html#abs-2308-14845
Marley M. B. R. Vellasco
Leandro L. Minku
[Conference Calendar].
116
2022
17
IEEE Comput. Intell. Mag.
1
https://doi.org/10.1109/MCI.2021.3129963
db/journals/cim/cim17.html#VellascoM22
Marley M. B. R. Vellasco
Leandro L. Minku
[Conference Calendar].
104
2022
17
IEEE Comput. Intell. Mag.
2
https://doi.org/10.1109/MCI.2022.3155329
db/journals/cim/cim17.html#VellascoM22a
Marley M. B. R. Vellasco
Leandro L. Minku
[Conference Calendar].
66
2022
17
IEEE Comput. Intell. Mag.
3
https://doi.org/10.1109/MCI.2022.3181348
db/journals/cim/cim17.html#VellascoM22b
Marley M. B. R. Vellasco
Leandro L. Minku
Conference Calendar.
70
2022
17
IEEE Comput. Intell. Mag.
4
https://doi.org/10.1109/MCI.2022.3201806
db/journals/cim/cim17.html#VellascoM22c
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 0001
Markus Wagner 0007
David R. White 0003
Metaheuristics "In the Large".
393-406
2022
297
Eur. J. Oper. Res.
2
https://doi.org/10.1016/j.ejor.2021.05.042
db/journals/eor/eor297.html#SwanABHJKKMMOPG22
Xinming Shi
Leandro L. Minku
Xin Yao 0001
A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit.
453-493
2022
23
Genet. Program. Evolvable Mach.
4
https://doi.org/10.1007/s10710-022-09436-w
https://www.wikidata.org/entity/Q114226412
db/journals/gpem/gpem23.html#ShiMY22
Xinming Shi
Leandro L. Minku
Xin Yao 0001
Adaptive Memory-Enhanced Time Delay Reservoir and its Memristive Implementation.
2766-2777
2022
71
IEEE Trans. Computers
11
https://doi.org/10.1109/TC.2022.3173151
db/journals/tc/tc71.html#ShiMY22
Diederick Vermetten
Bas van Stein
Fabio Caraffini
Leandro L. Minku
Anna V. Kononova
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain.
1380-1393
2022
26
IEEE Trans. Evol. Comput.
6
https://doi.org/10.1109/TEVC.2022.3189848
db/journals/tec/tec26.html#VermettenSCMK22
Hao Tong
Leandro L. Minku
Stefan Menzel
Bernhard Sendhoff
Xin Yao 0001
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems.
1486-1500
2022
26
IEEE Trans. Evol. Comput.
6
https://doi.org/10.1109/TEVC.2022.3147509
https://www.wikidata.org/entity/Q115409431
db/journals/tec/tec26.html#TongMMSY22
Chun Wai Chiu
Leandro L. Minku
A Diversity Framework for Dealing With Multiple Types of Concept Drift Based on Clustering in the Model Space.
1299-1309
2022
33
IEEE Trans. Neural Networks Learn. Syst.
3
https://doi.org/10.1109/TNNLS.2020.3041684
https://www.wikidata.org/entity/Q104557985
db/journals/tnn/tnn33.html#ChiuM22
Dalia Sobhy
Leandro L. Minku
Rami Bahsoon
Rick Kazman
Continuous and Proactive Software Architecture Evaluation: An IoT Case.
46:1-46:54
2022
31
ACM Trans. Softw. Eng. Methodol.
3
https://doi.org/10.1145/3492762
db/journals/tosem/tosem31.html#SobhyMBK22
Hao Tong
Leandro L. Minku
Stefan Menzel
Bernhard Sendhoff
Xin Yao 0001
Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation.
1-8
2022
CEC
https://doi.org/10.1109/CEC55065.2022.9870399
conf/cec/2022
db/conf/cec/cec2022.html#TongMMSY22
Hao Tong
Leandro L. Minku
Stefan Menzel
Bernhard Sendhoff
Xin Yao 0001
What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis.
305-313
2022
GECCO
https://doi.org/10.1145/3512290.3528756
conf/gecco/2022
db/conf/gecco/gecco2022.html#TongMMS022
Xinming Shi
Jiashi Gao
Leandro L. Minku
Xin Yao 0001
Evolving parsimonious circuits through shapley value-based genetic programming.
602-605
2022
GECCO Companion
https://doi.org/10.1145/3520304.3529032
conf/gecco/2022c
db/conf/gecco/gecco2022c.html#ShiGM022
Sneha Saha
Leandro L. Minku
Xin Yao 0001
Bernhard Sendhoff
Stefan Menzel
Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer.
1-9
2022
IJCNN
https://doi.org/10.1109/IJCNN55064.2022.9892814
conf/ijcnn/2022
db/conf/ijcnn/ijcnn2022.html#SahaMYSM22
Liyan Song
Shuxian Li
Leandro L. Minku
Xin Yao 0001
A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency.
1-8
2022
IJCNN
https://doi.org/10.1109/IJCNN55064.2022.9891911
conf/ijcnn/2022
db/conf/ijcnn/ijcnn2022.html#SongLMY22
Gan Ruan
Leandro L. Minku
Zhao Xu
Xin Yao 0001
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network.
2022
abs/2201.04361
CoRR
https://arxiv.org/abs/2201.04361
db/journals/corr/corr2201.html#abs-2201-04361
Marley M. B. R. Vellasco
Leandro L. Minku
[Conference Calendar].
100
2021
16
IEEE Comput. Intell. Mag.
4
https://doi.org/10.1109/MCI.2021.3108308
db/journals/cim/cim16.html#VellascoM21
Youcong Ni
Xin Du
Peng Ye 0002
Leandro L. Minku
Xin Yao 0001
Mark Harman
Ruliang Xiao
Multi-objective software performance optimisation at the architecture level using randomised search rules.
106565
2021
135
Inf. Softw. Technol.
https://doi.org/10.1016/j.infsof.2021.106565
https://www.wikidata.org/entity/Q113316081
db/journals/infsof/infsof135.html#NiDYMYHX21
Hao Tong
Changwu Huang
Leandro L. Minku
Xin Yao 0001
Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study.
414-437
2021
562
Inf. Sci.
https://doi.org/10.1016/j.ins.2021.03.002
db/journals/isci/isci562.html#TongHMY21
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.
1429-1469
2021
63
Knowl. Inf. Syst.
6
https://doi.org/10.1007/s10115-021-01560-w
db/journals/kais/kais63.html#BrzezinskiMPSS21
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.
23-24
2021
46
ACM SIGSOFT Softw. Eng. Notes
1
https://doi.org/10.1145/3437479.3437485
db/journals/sigsoft/sigsoft46.html#YooATMMM21
Sara Hassan
Rami Bahsoon
Leandro L. Minku
Nour Ali
Dynamic Evaluation of Microservice Granularity Adaptation.
4:1-4:35
2021
16
ACM Trans. Auton. Adapt. Syst.
2
https://doi.org/10.1145/3502724
db/journals/taas/taas16.html#HassanBMA21
Dalia Sobhy
Rami Bahsoon
Leandro L. Minku
Rick Kazman
Evaluation of Software Architectures under Uncertainty: A Systematic Literature Review.
51:1-51:50
2021
30
ACM Trans. Softw. Eng. Methodol.
4
https://doi.org/10.1145/3464305
db/journals/tosem/tosem30.html#SobhyBMK21
Sneha Saha
Leandro L. Minku
Xin Yao 0001
Bernhard Sendhoff
Stefan Menzel
Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization.
1767-1776
2021
CEC
https://doi.org/10.1109/CEC45853.2021.9504772
conf/cec/2021
db/conf/cec/cec2021.html#SahaMYSM21
Hao Tong
Leandro L. Minku
Stefan Menzel
Bernhard Sendhoff
Xin Yao 0001
A hybrid local search framework for the dynamic capacitated arc routing problem.
139-140
2021
GECCO Companion
https://doi.org/10.1145/3449726.3459450
conf/gecco/2021c
db/conf/gecco/gecco2021c.html#TongMMS021
Leandro L. Minku
Multi-stream online transfer learning for software effort estimation: is it necessary?
11-20
2021
PROMISE
https://doi.org/10.1145/3475960.3475988
conf/promise/2021
db/conf/promise/promise2021.html#Minku21
Sneha Saha
Thiago Rios
Leandro L. Minku
Bas van Stein
Patricia Wollstadt
Xin Yao 0001
Thomas Bäck
Bernhard Sendhoff
Stefan Menzel
Exploiting Generative Models for Performance Predictions of 3D Car Designs.
1-9
2021
SSCI
https://doi.org/10.1109/SSCI50451.2021.9660034
conf/ssci/2021
db/conf/ssci/ssci2021.html#SahaRMSWYBSM21
Xinming Shi
Jiashi Gao
Leandro L. Minku
James J. Q. Yu
Xin Yao 0001
Second-order Time Delay Reservoir Computing for Nonlinear Time Series Problems.
1-8
2021
SSCI
https://doi.org/10.1109/SSCI50451.2021.9659913
conf/ssci/2021
db/conf/ssci/ssci2021.html#ShiGMYY21
Gustavo H. F. M. Oliveira
Leandro L. Minku
Adriano L. I. Oliveira
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model.
2021
abs/2102.05983
CoRR
https://arxiv.org/abs/2102.05983
db/journals/corr/corr2102.html#abs-2102-05983
Hao Tong
Leandro L. Minku
Stefan Menzel
Bernhard Sendhoff
Xin Yao 0001
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems.
2021
abs/2104.06585
CoRR
https://arxiv.org/abs/2104.06585
db/journals/corr/corr2104.html#abs-2104-06585
Ayse Tosun
Shane McIntosh
Leandro L. Minku
Burak Turhan
Guest Editorial: Special Issue on Predictive Models and Data Analytics in Software Engineering.
1533-1535
2020
25
Empir. Softw. Eng.
2
https://doi.org/10.1007/s10664-020-09811-0
db/journals/ese/ese25.html#TosunMMT20
Amritanshu Agrawal
Tim Menzies
Leandro L. Minku
Markus Wagner 0007
Zhe Yu 0002
Better software analytics via "DUO": Data mining algorithms using/used-by optimizers.
2099-2136
2020
25
Empir. Softw. Eng.
3
https://doi.org/10.1007/s10664-020-09808-9
db/journals/ese/ese25.html#AgrawalMMWY20
Dalia Sobhy
Leandro L. Minku
Rami Bahsoon
Tao Chen 0001
Rick Kazman
Run-time evaluation of architectures: A case study of diversification in IoT.
2020
159
J. Syst. Softw.
https://doi.org/10.1016/j.jss.2019.110428
db/journals/jss/jss159.html#SobhyMBCK20
Mobin M. Idrees
Leandro L. Minku
Frederic T. Stahl
Atta Badii
A heterogeneous online learning ensemble for non-stationary environments.
2020
188
Knowl. Based Syst.
https://doi.org/10.1016/j.knosys.2019.104983
db/journals/kbs/kbs188.html#IdreesMSB20
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.
83-86
2020
37
IEEE Softw.
4
https://doi.org/10.1109/MS.2020.2986840
https://www.wikidata.org/entity/Q113435883
db/journals/software/software37.html#CarverPMPL20
Gan Ruan
Leandro L. Minku
Stefan Menzel
Bernhard Sendhoff
Xin Yao 0001
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization.
1-8
2020
CEC
https://doi.org/10.1109/CEC48606.2020.9185907
conf/cec/2020
db/conf/cec/cec2020.html#RuanMMSY20
Honghui Du
Leandro L. Minku
Huiyu Zhou 0001
MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments.
122-131
2020
ICDM
https://doi.org/10.1109/ICDM50108.2020.00021
conf/icdm/2020
db/conf/icdm/icdm2020.html#DuM020
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.
554-565
2020
ICSE
https://doi.org/10.1145/3377811.3380403
https://ieeexplore.ieee.org/document/9283981
conf/icse/2020
db/conf/icse/icse2020.html#TabassumMFCS20
Shuo Wang 0005
Leandro L. Minku
AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes.
1-8
2020
IJCNN
https://doi.org/10.1109/IJCNN48605.2020.9207377
conf/ijcnn/2020
db/conf/ijcnn/ijcnn2020.html#0005M20
Hao Tong
Leandro L. Minku
Stefan Menzel
Bernhard Sendhoff
Xin Yao 0001
Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems.
428-440
2020
PPSN (2)
https://doi.org/10.1007/978-3-030-58115-2_30
conf/ppsn/2020-2
db/conf/ppsn/ppsn2020-2.html#TongMMSY20
Sneha Saha
Stefan Menzel
Leandro L. Minku
Xin Yao 0001
Bernhard Sendhoff
Patricia Wollstadt
Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds.
1469-1477
2020
SSCI
https://doi.org/10.1109/SSCI47803.2020.9308513
conf/ssci/2020
db/conf/ssci/ssci2020.html#SahaMMYSW20
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
PROMISE
2020
978-1-4503-8127-7
https://doi.org/10.1145/3416508
db/conf/promise/promise2020.html
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 0001
Markus Wagner 0007
David Robert White
Towards Metaheuristics "In the Large".
2020
abs/2011.09821
CoRR
https://arxiv.org/abs/2011.09821
db/journals/corr/corr2011.html#abs-2011-09821
Shuo Wang 0005
Leandro L. Minku
Nitesh V. Chawla
Xin Yao 0001
Learning from data streams and class imbalance.
103-104
2019
31
Connect. Sci.
2
https://doi.org/10.1080/09540091.2019.1572975
db/journals/connection/connection31.html#WangMCY19
Leandro L. Minku
A novel online supervised hyperparameter tuning procedure applied to cross-company software effort estimation.
3153-3204
2019
24
Empir. Softw. Eng.
5
https://doi.org/10.1007/s10664-019-09686-w
db/journals/ese/ese24.html#Minku19
Shuo Wang 0005
Leandro L. Minku
Nitesh V. Chawla
Xin Yao 0001
Learning in the presence of class imbalance and concept drift.
1-2
2019
343
Neurocomputing
https://doi.org/10.1016/j.neucom.2019.01.080
db/journals/ijon/ijon343.html#WangMCY19
Jeffrey C. Carver
Leandro L. Minku
Highlights from ICSE 2019: Software Security and Mobile App Energy Consumption.
29-31
2019
36
IEEE Softw.
5
https://doi.org/10.1109/MS.2019.2922457
https://www.wikidata.org/entity/Q113435890
db/journals/software/software36.html#CarverM19
Liyan Song
Leandro L. Minku
Xin Yao 0001
Software Effort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling.
5:1-5:46
2019
28
ACM Trans. Softw. Eng. Methodol.
1
https://doi.org/10.1145/3295700
db/journals/tosem/tosem28.html#SongMY19
George G. Cabral
Leandro L. Minku
Emad Shihab
Suhaib Mujahid
Class imbalance evolution and verification latency in just-in-time software defect prediction.
666-676
2019
ICSE
https://doi.org/10.1109/ICSE.2019.00076
https://dl.acm.org/citation.cfm?id=3339591
conf/icse/2019
db/conf/icse/icse2019.html#CabralMSM19
Honghui Du
Leandro L. Minku
Huiyu Zhou 0001
Multi-Source Transfer Learning for Non-Stationary Environments.
1-8
2019
IJCNN
https://doi.org/10.1109/IJCNN.2019.8852024
conf/ijcnn/2019
db/conf/ijcnn/ijcnn2019.html#DuMZ19
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.
1-8
2019
IJCNN
https://doi.org/10.1109/IJCNN.2019.8852097
conf/ijcnn/2019
db/conf/ijcnn/ijcnn2019.html#OliveiraMO19
Sneha Saha
Thiago Rios
Leandro L. Minku
Xin Yao 0001
Zhao Xu 0001
Bernhard Sendhoff
Stefan Menzel
Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior.
858-866
2019
SSCI
https://doi.org/10.1109/SSCI44817.2019.9002958
conf/ssci/2019
db/conf/ssci/ssci2019.html#SahaRMYXSM19
Gan Ruan
Leandro L. Minku
Stefan Menzel
Bernhard Sendhoff
Xin Yao 0001
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization.
2034-2041
2019
SSCI
https://doi.org/10.1109/SSCI44817.2019.9002815
conf/ssci/2019
db/conf/ssci/ssci2019.html#RuanMMSY19
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
PROMISE
2019
978-1-4503-7233-6
https://dl.acm.org/citation.cfm?id=3345629
db/conf/promise/promise2019.html
Honghui Du
Leandro L. Minku
Huiyu Zhou 0001
Multi-Source Transfer Learning for Non-Stationary Environments.
2019
abs/1901.02052
CoRR
http://arxiv.org/abs/1901.02052
db/journals/corr/corr1901.html#abs-1901-02052
Xiao-Ning Shen
Leandro L. Minku
Naresh Marturi
Yi-Nan Guo 0001
Ying Han
A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling.
1-29
2018
428
Inf. Sci.
https://doi.org/10.1016/j.ins.2017.10.041
db/journals/isci/isci428.html#ShenMMGH18
Jeffrey C. Carver
Eduardo Santana de Almeida
Rafael Capilla
Leandro L. Minku
Marco Torchiano
Alejandro Valdezate
Empirical Software Engineering, Predictive Models, and Product Lines.
8-11
2018
35
IEEE Softw.
3
https://doi.org/10.1109/MS.2018.2141018
http://doi.ieeecomputersociety.org/10.1109/MS.2018.2141018
db/journals/software/software35.html#CarverACMTV18
Leandro L. Minku
Ayse Basar Bener
Burak Turhan
Guest editorial: special issue on predictive models for software quality.
521-523
2018
26
Softw. Qual. J.
2
https://doi.org/10.1007/s11219-018-9409-7
https://www.wikidata.org/entity/Q121612704
db/journals/sqj/sqj26.html#MinkuBT18
Shuo Wang 0005
Leandro L. Minku
Xin Yao 0001
A Systematic Study of Online Class Imbalance Learning With Concept Drift.
4802-4821
2018
29
IEEE Trans. Neural Networks Learn. Syst.
10
https://doi.org/10.1109/TNNLS.2017.2771290
https://www.wikidata.org/entity/Q89557163
db/journals/tnn/tnn29.html#WangMY18
Neil Walkinshaw
Leandro L. Minku
Are 20% of files responsible for 80% of defects?
2:1-2:10
2018
ESEM
https://doi.org/10.1145/3239235.3239244
conf/esem/2018
db/conf/esem/esem2018.html#WalkinshawM18
Chun Wai Chiu
Leandro L. Minku
Diversity-Based Pool of Models for Dealing with Recurring Concepts.
1-8
2018
IJCNN
https://doi.org/10.1109/IJCNN.2018.8489190
conf/ijcnn/2018
db/conf/ijcnn/ijcnn2018.html#ChiuM18
Vivek Nair
Amritanshu Agrawal
Jianfeng Chen
Wei Fu 0002
George Mathew
Tim Menzies
Leandro L. Minku
Markus Wagner 0007
Zhe Yu 0002
Data-driven search-based software engineering.
341-352
2018
MSR
https://doi.org/10.1145/3196398.3196442
https://ieeexplore.ieee.org/document/8595218
conf/msr/2018
db/conf/msr/msr2018.html#NairACFMMM0Y08
Liyan Song
Leandro L. Minku
Xin Yao 0001
A novel automated approach for software effort estimation based on data augmentation.
468-479
2018
ESEC/SIGSOFT FSE
https://doi.org/10.1145/3236024.3236052
conf/sigsoft/2018
db/conf/sigsoft/fse2018.html#SongM018
Bello Shehu Bello
Reiko Heckel
Leandro L. Minku
Reverse Engineering the Behaviour of Twitter Bots.
27-34
2018
SNAMS
https://doi.org/10.1109/SNAMS.2018.8554675
conf/snams/2018
db/conf/snams/snams2018.html#BelloHM18
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
RAISE@ICSE
ACM
2018
978-1-4503-5723-4
https://doi.org/10.1145/3194104
https://ieeexplore.ieee.org/xpl/conhome/8452112/proceeding
db/conf/icse/raise2018.html
Vivek Nair
Amritanshu Agrawal
Jianfeng Chen
Wei Fu 0002
George Mathew
Tim Menzies
Leandro L. Minku
Markus Wagner 0007
Zhe Yu 0002
Data-Driven Search-based Software Engineering.
2018
abs/1801.10241
CoRR
http://arxiv.org/abs/1801.10241
db/journals/corr/corr1801.html#abs-1801-10241
Faimison Rodrigues Porto
Leandro L. Minku
Emilia Mendes
Adenilso Simão
A Systematic Study of Cross-Project Defect Prediction With Meta-Learning.
2018
abs/1802.06025
CoRR
http://arxiv.org/abs/1802.06025
db/journals/corr/corr1802.html#abs-1802-06025
Amritanshu Agrawal
Tim Menzies
Leandro L. Minku
Markus Wagner 0007
Zhe Yu 0002
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers.
2018
abs/1812.01550
CoRR
http://arxiv.org/abs/1812.01550
db/journals/corr/corr1812.html#abs-1812-01550
Leandro L. Minku
Xin Yao 0001
Which models of the past are relevant to the present? A software effort estimation approach to exploiting useful past models.
499-542
2017
24
Autom. Softw. Eng.
3
https://doi.org/10.1007/s10515-016-0209-7
https://www.wikidata.org/entity/Q59613636
db/journals/ase/ase24.html#MinkuY17
Bartosz Krawczyk
Leandro L. Minku
João Gama 0001
Jerzy Stefanowski
Michal Wozniak 0001
Ensemble learning for data stream analysis: A survey.
132-156
2017
37
Inf. Fusion
https://doi.org/10.1016/j.inffus.2017.02.004
https://www.wikidata.org/entity/Q58204451
db/journals/inffus/inffus37.html#KrawczykMGSW17
Jeffrey C. Carver
Leandro L. Minku
Birgit Penzenstadler
Requirements, Human Values, and the Development Technology Landscape.
13-15
2017
34
IEEE Softw.
1
https://doi.org/10.1109/MS.2017.6
http://doi.ieeecomputersociety.org/10.1109/MS.2017.6
https://www.wikidata.org/entity/Q111935791
db/journals/software/software34.html#CarverMP17
Hennie Huijgens
Arie van Deursen
Leandro L. Minku
Chris Lokan
Effort and Cost in Software Engineering: A Comparison of Two Industrial Data Sets.
51-60
2017
EASE
https://doi.org/10.1145/3084226.3084249
https://www.wikidata.org/entity/Q57908609
conf/ease/2017
db/conf/ease/ease2017.html#HuijgensDML17
Gustavo H. F. M. Oliveira
Rodolfo C. Cavalcante
George G. Cabral
Leandro L. Minku
Adriano L. I. Oliveira
Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach.
239-246
2017
ICTAI
https://doi.org/10.1109/ICTAI.2017.00046
https://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00046
conf/ictai/2017
db/conf/ictai/ictai2017.html#OliveiraCCMO17
Leandro L. Minku
Siqing Hou
Clustering Dycom: An Online Cross-Company Software Effort Estimation Study.
12-21
2017
PROMISE
https://doi.org/10.1145/3127005.3127007
conf/promise/2017
db/conf/promise/promise2017.html#MinkuH17
Mohammad Azzeh
Ali Bou Nassif
Leandro L. Minku
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation.
2017
abs/1703.04568
CoRR
http://arxiv.org/abs/1703.04568
db/journals/corr/corr1703.html#AzzehNM17
Shuo Wang 0005
Leandro L. Minku
Xin Yao 0001
A Systematic Study of Online Class Imbalance Learning with Concept Drift.
2017
abs/1703.06683
CoRR
http://arxiv.org/abs/1703.06683
db/journals/corr/corr1703.html#WangMY17
Shuo Wang 0005
Leandro L. Minku
Nitesh V. Chawla
Xin Yao 0001
Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17).
2017
abs/1707.09425
CoRR
http://arxiv.org/abs/1707.09425
db/journals/corr/corr1707.html#WangMC017
Markus Wagner 0007
Leandro L. Minku
Ahmed E. Hassan
John A. Clark
Data-Driven Search-Based Software Engineering (NII Shonan Meeting 2017-19).
2017
2017
NII Shonan Meet. Rep.
https://shonan.nii.ac.jp/seminars/105/
db/journals/shonan-reports/shonan-reports2017.html#WagnerMHC17
Leandro L. Minku
Emilia Mendes
Burak Turhan
Data mining for software engineering and humans in the loop.
307-314
2016
5
Prog. Artif. Intell.
4
https://doi.org/10.1007/s13748-016-0092-2
https://www.wikidata.org/entity/Q59474008
db/journals/pai/pai5.html#MinkuMT16
Pietro A. Consoli
Yi Mei 0001
Leandro L. Minku
Xin Yao 0001
Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis.
3889-3914
2016
20
Soft Comput.
10
https://doi.org/10.1007/s00500-016-2126-x
https://www.wikidata.org/entity/Q59474270
db/journals/soco/soco20.html#ConsoliMMY16
Jeffrey C. Carver
Jordi Cabot
Leandro L. Minku
Marco Torchiano
Regression Testing, Spoken Language, Crash-Inducing Commits, UML, and Legal Policy.
26-28
2016
33
IEEE Softw.
2
https://doi.org/10.1109/MS.2016.37
http://doi.ieeecomputersociety.org/10.1109/MS.2016.37
https://www.wikidata.org/entity/Q113435900
db/journals/software/software33.html#CarverCMT16
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.
29-31
2016
33
IEEE Softw.
3
https://doi.org/10.1109/MS.2016.74
http://doi.ieeecomputersociety.org/10.1109/MS.2016.74
https://www.wikidata.org/entity/Q110569760
db/journals/software/software33.html#CarverACMMP16
Yu Sun 0019
Ke Tang 0001
Leandro L. Minku
Shuo Wang 0005
Xin Yao 0001
Online Ensemble Learning of Data Streams with Gradually Evolved Classes.
1532-1545
2016
28
IEEE Trans. Knowl. Data Eng.
6
https://doi.org/10.1109/TKDE.2016.2526675
http://doi.ieeecomputersociety.org/10.1109/TKDE.2016.2526675
db/journals/tkde/tkde28.html#SunTMWY16
Xiao-Ning Shen
Leandro L. Minku
Rami Bahsoon
Xin Yao 0001
Dynamic Software Project Scheduling through a Proactive-Rescheduling Method.
658-686
2016
42
IEEE Trans. Software Eng.
7
https://doi.org/10.1109/TSE.2015.2512266
http://doi.ieeecomputersociety.org/10.1109/TSE.2015.2512266
db/journals/tse/tse42.html#ShenMBY16
Dalia Sobhy
Rami Bahsoon
Leandro L. Minku
Rick Kazman
Diversifying Software Architecture for Sustainability: A Value-Based Perspective.
55-63
2016
ECSA
https://doi.org/10.1007/978-3-319-48992-6_4
conf/ecsa/2016
db/conf/ecsa/ecsa2016.html#SobhyBMK16
Shuo Wang 0005
Leandro L. Minku
Xin Yao 0001
Dealing with Multiple Classes in Online Class Imbalance Learning.
2118-2124
2016
IJCAI
http://www.ijcai.org/Abstract/16/302
conf/ijcai/2016
db/conf/ijcai/ijcai2016.html#WangMY16
Rodolfo C. Cavalcante
Leandro L. Minku
Adriano L. I. Oliveira
FEDD: Feature Extraction for Explicit Concept Drift Detection in time series.
740-747
2016
IJCNN
https://doi.org/10.1109/IJCNN.2016.7727274
conf/ijcnn/2016
db/conf/ijcnn/ijcnn2016.html#CavalcanteMO16
Xiuli Wu
Pietro A. Consoli
Leandro L. Minku
Gabriela Ochoa
Xin Yao 0001
An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem.
37-47
2016
PPSN
https://doi.org/10.1007/978-3-319-45823-6_4
conf/ppsn/2016
db/conf/ppsn/ppsn2016.html#WuCMOY16
Leandro L. Minku
On the Terms Within- and Cross-Company in Software Effort Estimation.
4:1-4:4
2016
PROMISE
https://doi.org/10.1145/2972958.2972968
conf/promise/2016
db/conf/promise/promise2016.html#Minku16
Leandro L. Minku
Which machine learning method do you need?
155-159
2016
Perspectives on Data Science for Software Engineering
https://doi.org/10.1016/b978-0-12-804206-9.00030-1
books/el/16/MWZ2016
db/books/collections/MWZ2016.html#Minku16
Leandro L. Minku
The wisdom of the crowds in predictive modeling for software engineering.
199-204
2016
Perspectives on Data Science for Software Engineering
https://doi.org/10.1016/b978-0-12-804206-9.00037-4
books/el/16/MWZ2016
db/books/collections/MWZ2016.html#Minku16a
Leandro L. Minku
Lukas Esterle
Georg Nebehay
Renzhi Chen
Knowledge Representation and Modelling: Structures and Trade-Offs.
79-111
2016
Self-aware Computing Systems
https://doi.org/10.1007/978-3-319-39675-0_6
series/ncs/2016LP
db/series/ncs/LP2016.html#MinkuENC16
Shuo Wang 0005
Georg Nebehay
Lukas Esterle
Kristian Nymoen
Leandro L. Minku
Common Techniques for Self-awareness and Self-expression.
113-142
2016
Self-aware Computing Systems
https://doi.org/10.1007/978-3-319-39675-0_7
series/ncs/2016LP
db/series/ncs/LP2016.html#WangNENM16
Mohammad Azzeh
Ali Bou Nassif
Leandro L. Minku
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation.
36-52
2015
103
J. Syst. Softw.
https://doi.org/10.1016/j.jss.2015.01.028
https://www.wikidata.org/entity/Q57607736
db/journals/jss/jss103.html#AzzehNM15
Jeffrey C. Carver
Aiko Yamashita
Leandro L. Minku
Mayy Habayeb
Sedef Akinli Koçak
Software Quality, Energy Awareness, and More.
98-100
2015
32
IEEE Softw.
6
https://doi.org/10.1109/MS.2015.127
http://doi.ieeecomputersociety.org/10.1109/MS.2015.127
https://www.wikidata.org/entity/Q122500119
db/journals/software/software32.html#CarverYMHK15
Shuo Wang 0005
Leandro L. Minku
Xin Yao 0001
Resampling-Based Ensemble Methods for Online Class Imbalance Learning.
1356-1368
2015
27
IEEE Trans. Knowl. Data Eng.
5
https://doi.org/10.1109/TKDE.2014.2345380
http://doi.ieeecomputersociety.org/10.1109/TKDE.2014.2345380
db/journals/tkde/tkde27.html#WangMY15
Xin Du
Youcong Ni
Peng Ye 0002
Xin Yao 0001
Leandro L. Minku
Ruliang Xiao
An evolutionary algorithm for performance optimization at software architecture level.
2129-2136
2015
CEC
https://doi.org/10.1109/CEC.2015.7257147
conf/cec/2015
db/conf/cec/cec2015.html#DuNYYMX15
Leandro L. Minku
Federica Sarro
Emilia Mendes
Filomena Ferrucci
How to Make Best Use of Cross-Company Data for Web Effort Estimation?
172-181
2015
ESEM
https://doi.org/10.1109/ESEM.2015.7321199
https://doi.ieeecomputersociety.org/10.1109/ESEM.2015.7321199
conf/esem/2015
db/conf/esem/esem2015.html#MinkuSMF15
Tim Menzies
Leandro L. Minku
Fayola Peters
The Art and Science of Analyzing Software Data; Quantitative Methods.
959-960
2015
ICSE (2)
https://doi.org/10.1109/ICSE.2015.306
https://doi.ieeecomputersociety.org/10.1109/ICSE.2015.306
http://dl.acm.org/citation.cfm?id=2819229
https://www.wikidata.org/entity/Q57438973
conf/icse/2015-2
db/conf/icse/icse2015-2.html#MenziesMP15
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).
991-992
2015
ICSE (2)
https://doi.org/10.1109/ICSE.2015.320
https://doi.ieeecomputersociety.org/10.1109/ICSE.2015.320
http://dl.acm.org/citation.cfm?id=2819245
conf/icse/2015-2
db/conf/icse/icse2015-2.html#TurhanBHMMM15
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
PROMISE
2015
978-1-4503-3715-1
http://dl.acm.org/citation.cfm?id=2810146
db/conf/promise/promise2015.html
Leandro L. Minku
Dirk Sudholt
Xin Yao 0001
Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis.
83-102
2014
40
IEEE Trans. Software Eng.
1
https://doi.org/10.1109/TSE.2013.52
http://doi.ieeecomputersociety.org/10.1109/TSE.2013.52
db/journals/tse/tse40.html#MinkuSY14
Leandro L. Minku
Xin Yao 0001
How to make best use of cross-company data in software effort estimation?
446-456
2014
ICSE
https://doi.org/10.1145/2568225.2568228
conf/icse/2014
db/conf/icse/icse2014.html#MinkuY14
I. Made Murwantara
Behzad Bordbar
Leandro L. Minku
Measuring Energy Consumption for Web Service Product Configuration.
224-228
2014
iiWAS
https://doi.org/10.1145/2684200.2684314
conf/iiwas/2014
db/conf/iiwas/iiwas2014.html#MurwantaraBM14
Shuo Wang 0005
Leandro L. Minku
Xin Yao 0001
A multi-objective ensemble method for online class imbalance learning.
3311-3318
2014
IJCNN
https://doi.org/10.1109/IJCNN.2014.6889545
conf/ijcnn/2014
db/conf/ijcnn/ijcnn2014.html#WangMY14
Liyan Song
Leandro L. Minku
Xin Yao 0001
The potential benefit of relevance vector machine to software effort estimation.
52-61
2014
PROMISE
https://doi.org/10.1145/2639490.2639510
conf/promise/2014
db/conf/promise/promise2014.html#SongMY14
Pietro A. Consoli
Leandro L. Minku
Xin Yao 0001
Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics.
359-370
2014
SEAL
https://doi.org/10.1007/978-3-319-13563-2_31
conf/seal/2014
db/conf/seal/seal2014.html#ConsoliMY14
Mark Harman
Syed S. Islam
Yue Jia 0001
Leandro L. Minku
Federica Sarro
Komsan Srivisut
Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases.
240-246
2014
SSBSE
https://doi.org/10.1007/978-3-319-09940-8_19
conf/ssbse/2014
db/conf/ssbse/ssbse2014.html#HarmanIJMSS14
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
978-1-4503-2846-3
http://dl.acm.org/citation.cfm?id=2593801
RAISE
db/conf/icse/raise2014.html
Tao Chen 0001
Funmilade Faniyi
Rami Bahsoon
Peter R. Lewis 0001
Xin Yao 0001
Leandro L. Minku
Lukas Esterle
The Handbook of Engineering Self-Aware and Self-Expressive Systems.
2014
abs/1409.1793
CoRR
http://arxiv.org/abs/1409.1793
db/journals/corr/corr1409.html#ChenFBLYME14
Hong Mei 0001
Frank Neumann 0001
Xin Yao 0001
Leandro L. Minku
Computational Intelligence for Software Engineering (NII Shonan Meeting 2014-13).
2014
2014
NII Shonan Meet. Rep.
https://shonan.nii.ac.jp/seminars/053/
db/journals/shonan-reports/shonan-reports2014.html#MeiNYM14
Yang Li 0007
Changjun Hu
Leandro L. Minku
Haolei Zuo
Learning aesthetic judgements in evolutionary art systems.
315-337
2013
14
Genet. Program. Evolvable Mach.
3
https://doi.org/10.1007/s10710-013-9188-7
db/journals/gpem/gpem14.html#LiHMZ13
Shuo Wang 0005
Leandro L. Minku
Xin Yao 0001
Online Class Imbalance Learning and its Applications in Fault Detection.
2013
12
Int. J. Comput. Intell. Appl.
4
https://doi.org/10.1142/S1469026813400014
db/journals/ijcia/ijcia12.html#WangMY13
Leandro L. Minku
Xin Yao 0001
Ensembles and locality: Insight on improving software effort estimation.
1512-1528
2013
55
Inf. Softw. Technol.
8
https://doi.org/10.1016/j.infsof.2012.09.012
db/journals/infsof/infsof55.html#MinkuY13
Leandro L. Minku
Xin Yao 0001
Software effort estimation as a multiobjective learning problem.
35:1-35:32
2013
22
ACM Trans. Softw. Eng. Methodol.
4
https://doi.org/10.1145/2522920.2522928
db/journals/tosem/tosem22.html#MinkuY13
Shuo Wang 0005
Leandro L. Minku
Xin Yao 0001
A learning framework for online class imbalance learning.
36-45
2013
CIEL
https://doi.org/10.1109/CIEL.2013.6613138
conf/ciel/2013
db/conf/ciel/ciel2013.html#WangMY13
Tim Menzies
Ekrem Kocaguneli
Fayola Peters
Burak Turhan
Leandro L. Minku
Data science for software engineering.
1484-1486
2013
ICSE
https://doi.org/10.1109/ICSE.2013.6606752
https://doi.ieeecomputersociety.org/10.1109/ICSE.2013.6606752
http://dl.acm.org/citation.cfm?id=2487048
conf/icse/2013
db/conf/icse/icse2013.html#MenziesKPTM04
Shuo Wang 0005
Leandro L. Minku
Davide Ghezzi
Daniele Caltabiano
Peter Tiño
Xin Yao 0001
Concept drift detection for online class imbalance learning.
1-10
2013
IJCNN
https://doi.org/10.1109/IJCNN.2013.6706768
conf/ijcnn/2013
db/conf/ijcnn/ijcnn2013.html#WangMGCTY13
Leandro L. Minku
Xin Yao 0001
An analysis of multi-objective evolutionary algorithms for training ensemble models based on different performance measures in software effort estimation.
8:1-8:10
2013
PROMISE
https://doi.org/10.1145/2499393.2499396
conf/promise/2013
db/conf/promise/promise2013.html#MinkuY13
Liyan Song
Leandro L. Minku
Xin Yao 0001
The impact of parameter tuning on software effort estimation using learning machines.
9:1-9:10
2013
PROMISE
https://doi.org/10.1145/2499393.2499394
conf/promise/2013
db/conf/promise/promise2013.html#SongMY13
Indre Zliobaite
Albert Bifet
Mohamed Medhat Gaber
Bogdan Gabrys
João Gama 0001
Leandro L. Minku
Katarzyna Musial
Next challenges for adaptive learning systems.
48-55
2012
14
SIGKDD Explor.
1
https://doi.org/10.1145/2408736.2408746
https://www.wikidata.org/entity/Q58204742
db/journals/sigkdd/sigkdd14.html#ZliobaiteBGGGMM12
Leandro L. Minku
Xin Yao 0001
DDD: A New Ensemble Approach for Dealing with Concept Drift.
619-633
2012
24
IEEE Trans. Knowl. Data Eng.
4
https://doi.org/10.1109/TKDE.2011.58
http://doi.ieeecomputersociety.org/10.1109/TKDE.2011.58
db/journals/tkde/tkde24.html#MinkuY12
Leandro L. Minku
Dirk Sudholt
Xin Yao 0001
Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design.
1221-1228
2012
GECCO
https://doi.org/10.1145/2330163.2330332
conf/gecco/2012
db/conf/gecco/gecco2012.html#MinkuSY12
Leandro L. Minku
Xin Yao 0001
Using unreliable data for creating more reliable online learners.
1-8
2012
IJCNN
https://doi.org/10.1109/IJCNN.2012.6252711
conf/ijcnn/2012
db/conf/ijcnn/ijcnn2012.html#MinkuY12
Leandro L. Minku
Xin Yao 0001
Can cross-company data improve performance in software effort estimation?
69-78
2012
PROMISE
https://doi.org/10.1145/2365324.2365334
conf/promise/2012
db/conf/promise/promise2012.html#MinkuY12
Leandro L. Minku
Xin Yao 0001
A principled evaluation of ensembles of learning machines for software effort estimation.
9
2011
PROMISE
https://doi.org/10.1145/2020390.2020399
conf/promise/2011
db/conf/promise/promise2011.html#MinkuY11
Cleber Zanchettin
Leandro L. Minku
Teresa Bernarda Ludermir
Design of Experiments in Neuro-Fuzzy Systems.
137-152
2010
9
Int. J. Comput. Intell. Appl.
2
https://doi.org/10.1142/S1469026810002823
https://www.wikidata.org/entity/Q61771425
db/journals/ijcia/ijcia9.html#ZanchettinML10
Leandro L. Minku
Allan P. White
Xin Yao 0001
The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift.
730-742
2010
22
IEEE Trans. Knowl. Data Eng.
5
https://doi.org/10.1109/TKDE.2009.156
http://doi.ieeecomputersociety.org/10.1109/TKDE.2009.156
db/journals/tkde/tkde22.html#MinkuWY10
Steven Adriænsen
Amritanshu Agrawal
Aldeida Aleti
Nour Ali
Eduardo Santana de Almeida
Mohammad Azzeh
Thomas Bäck
Atta Badii
Rami Bahsoon
Bello Shehu Bello
Ayse Basar BenerAyse Bener
Albert Bifet
Behzad Bordbar
Alexander E. I. Brownlee
Dariusz Brzezinski
Jordi Cabot
George G. Cabral
Daniele Caltabiano
Rafael Capilla
Fabio Caraffini
Jeffrey C. Carver
Rodolfo C. Cavalcante
Nitesh V. Chawla
Jianfeng Chen
Renzhi Chen
Tao Chen 0001
Chun Wai Chiu
John A. Clark
Pietro A. Consoli
Arie van Deursen
Honghui Du
Xin Du
Lukas Esterle
Funmilade Faniyi
Danyi Feng
Filomena Ferrucci
Wei Fu 0002
Mohamed Medhat Gaber
Bogdan Gabrys
João Gama 0001
Jiashi Gao
Pablo García-Sánchez
Davide Ghezzi
Juan Julián Merelo GuervósJuan Julián Merelo
Yinan Guo 0001Yi-Nan Guo 0001
Mayy Habayeb
Kevin Hammond
Ying Han
Mark Harman
Rachel Harrison
Ahmed E. Hassan
Sara Hassan
Reiko Heckel
Siqing Hou
Changjun Hu
Changwu Huang
Hennie Huijgens
Mobin M. Idrees
Syed S. Islam
Yue Jia 0001
Colin G. Johnson
Rick Kazman
Ahmed Kheiri
Foutse Khomh
Ekrem Kocaguneli
Sedef Akinli Koçak
Anna V. Kononova
Bartosz Krawczyk
Faustyna Krawiec
Xabier Larrucea
Peter R. Lewis 0001
Shuxian Li
Yang Li 0007
Christopher J. LokanChris Lokan
Jie Lu 0001
Teresa Bernarda Ludermir
Naresh Marturi
George Mathew
Shane McIntosh
Hong Mei 0001
Yi Mei 0001
Emilia Mendes
Stefan Menzel
Tim Menzies
Çetin Meriçli
Andriy V. Miranskyy
Ayse Tosun MisirliAyse Tosun
Henry Muccini
Suhaib Mujahid
I. Made Murwantara
Katarzyna Musial
Meiyappan Nagappan
Vivek Nair
Ali Bou Nassif
Georg Nebehay
Frank Neumann 0001
Youcong Ni
Kristian Nymoen
Gabriela Ochoa
Adriano Lorena Inácio de OliveiraAdriano L. I. Oliveira
Gustavo H. F. M. Oliveira
Ender Özcan
Ricardo Colomo Palacios
Gisele L. Pappa
Birgit Penzenstadler
Dinaldo A. Pessoa
Fayola Peters
Jean Petric
Tomasz Pewinski
Faimison Rodrigues Porto
Thiago Rios
Gan Ruan
Sneha Saha
Federica Sarro
Bernhard Sendhoff
Xiao-Ning Shen
Xinming Shi
Emad Shihab
Adenilso da Silva SimãoAdenilso Simão
Rodrigo G. F. Soares
Dalia Sobhy
Liyan Song
Kenneth Sörensen
Komsan Srivisut
Frederic T. Stahl
Jerzy Stefanowski
Niki van SteinBas van Stein
Dirk Sudholt
Yu Sun 0019
Jerry Swan
Artur Szumaczuk
Sadia Tabassum
Ke Tang 0001
Cong Teng
Walter F. Tichy
Peter Tiño
Hao Tong
Marco Torchiano
Burak Turhan
Alejandro Valdezate
Marley M. B. R. Vellasco
Diederick Vermetten
Stefan Voß 0001
Markus Wagner 0007
Neil Walkinshaw
Shuo Wang 0005
Zilu Wang
Allan P. White
David Robert WhiteDavid R. White 0003
Patricia Wollstadt
Michal Wozniak 0001
Xiuli Wu
Ruliang Xiao
Zhao Xu
Zhao Xu 0001
Aiko Fallas YamashitaAiko Yamashita
Xin Yao 0001
Peng Ye 0002
Shin Yoo
James Jian Qiao YuJames J. Q. Yu
Zhe Yu 0002
Cleber Zanchettin
Huiyu Zhou 0001
Indre Zliobaite
Haolei Zuo