Liyan Song

Empir. Softw. Eng., November, 2024

Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2024

Conference Calendar [Conference Calendar].

[BibT_eX]

[DOI]

Leandro Lei Minku

IEEE Comput. Intell. Mag., August, 2024

Coevolutionary scheduling of dynamic software project considering the new skill learning.

[BibT_eX]

[DOI]

Autom. Softw. Eng., June, 2024

A Two-Stage LLVM Option Sequence Optimization Method to Minimize Energy Consumption.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2024

Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data.

[BibT_eX]

[DOI]

CoRR, 2024

Addressing Intermediate Verification Latency in Online Learning Through Immediate Pseudo-labeling and Oriented Synthetic Correction.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Online Learning in Varying Feature Spaces with Informative Variation.

[BibT_eX]

[DOI]

Peijia Qin

Proceedings of the Intelligent Information Processing XII, 2024

2023

Conference Calendar [Conference Calendar].

[BibT_eX]

[DOI]

Marley M. B. R. Vellasco

IEEE Comput. Intell. Mag., November, 2023

STCM: A spatio-temporal calibration model for low-cost air monitoring sensors.

[BibT_eX]

[DOI]

Inf. Sci., October, 2023

On the validity of retrospective predictive performance evaluation procedures in just-in-time software defect prediction.

[BibT_eX]

[DOI]

Empir. Softw. Eng., October, 2023

Heterogeneous multi-project multi-task allocation in mobile crowdsensing using an ensemble fireworks algorithm.

[BibT_eX]

[DOI]

Appl. Soft Comput., September, 2023

HumLa-fse2023.

[BibT_eX]

[DOI]

Dataset, August, 2023

A Procedure to Continuously Evaluate Predictive Performance of Just-In-Time Software Defect Prediction Models During Software Development.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., February, 2023

Artificial Intelligence in Software Project Management.

[BibT_eX]

[DOI]

Proceedings of the Optimising the Software Development Process with Artificial Intelligence, 2023

Joint optimisation of feature selection and SVM parameters based on an improved fireworks algorithm.

[BibT_eX]

[DOI]

Int. J. Comput. Sci. Eng., 2023

Energy-Efficient Multi-Trip Routing for Municipal Solid Waste Collection by Contribution-Based Adaptive Particle Swarm Optimization.

[BibT_eX]

[DOI]

Complex Syst. Model. Simul., 2023

ItoV: Efficiently Adapting Deep Learning-based Image Watermarking to Video Watermarking.

[BibT_eX]

[DOI]

CoRR, 2023

A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-Class Imbalance Learning.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Complementary material for the book "Optimising the Software Development Process with Artificial Intelligence".

[BibT_eX]

[DOI]

Dataset, August, 2022

Direct ICA on data tensor via random matrix modeling.

[BibT_eX]

[DOI]

Shuo Zhou

Haiping Lu

Signal Process., 2022

A Region Enhanced Discrete Multi-Objective Fireworks Algorithm for Low-Carbon Vehicle Routing Problem.

[BibT_eX]

[DOI]

Complex Syst. Model. Simul., 2022

Variable speed multi-task allocation for mobile crowdsensing based on a multi-objective shuffled frog leaping algorithm.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Label-Assisted Memory Autoencoder for Unsupervised Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Methods for deep learning model failure detection and model adaption: A survey.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

2020

An investigation of cross-project learning in online just-in-time software defect prediction.

[BibT_eX]

[DOI]

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

Learning to cope with small noisy data in software effort estimation.

[BibT_eX]

[DOI]

PhD thesis, 2019

Software Effort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., 2019

2018

A novel automated approach for software effort estimation based on data augmentation.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

2016

EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator.

[BibT_eX]

[DOI]

Haiping Lu

Proceedings of The 8th Asian Conference on Machine Learning, 2016

Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA.

[BibT_eX]

[DOI]

Haiping Lu

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2014

The potential benefit of relevance vector machine to software effort estimation.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Predictive Models in Software Engineering, 2014

2013

The impact of parameter tuning on software effort estimation using learning machines.

[BibT_eX]

[DOI]