| Efficient anomaly detection through surrogate neural networks | Neural Computing and Applications | |
| Adaptive Approach for Density-Approximating Neural Network Models for Anomaly Detection | Advances in Intelligent Systems and Computing | 2021 |
| Generating Fixed-Size Training Sets for Large and Streaming Datasets | Lecture Notes in Computer Science | 2017 |
| Threshold ML-KNN: Statistical Evaluation on Multiple Benchmarks | Lecture Notes in Computer Science | 2013 |
| Learning regularized hoeffding trees from data streams | | 2019 |
| Multiple Instance Learning with Bag-Level Randomized Trees | Lecture Notes in Computer Science | 2019 |
| Process Mining Encoding via Meta-learning for an Enhanced Anomaly Detection | Communications in Computer and Information Science | 2021 |
| Assessing exception handling testing practices in open-source libraries | Empirical Software Engineering | 2021 |
| Sequential pattern sampling with norm-based utility | Knowledge and Information Systems | 2020 |
| Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins | Neural Computing and Applications | 2020 |
| Soft voting technique to improve the performance of global filter based feature selection in text corpus | Applied Intelligence | 2019 |
| Level-2 node clustering coefficient-based link prediction | Applied Intelligence | 2019 |
| A Context-Sensitive Framework for Mining Concept Drifting Data Streams | | 2019 |
| Influence of normalization and color features on super-pixel classification: application to cytological image segmentation | Australasian Physical and Engineering Sciences in Medicine | 2019 |
| Cooperative based hyper-heuristic for many-objective optimization | | 2019 |
| Document Enrichment using DBPedia Ontology for Short Text Classification | | 2018 |
| Scalable linear classifiers based on exponential loss function | | 2018 |
| Decision Trees as Interpretable Bank Credit Scoring Models | Communications in Computer and Information Science | 2018 |
| Self Hyper-Parameter Tuning for Data Streams | Lecture Notes in Computer Science | 2018 |
| A distributed framework for cooperation of many-objective evolutionary algorithms | | 2017 |
| Decision tree induction based on minority entropy for the class imbalance problem | Pattern Analysis and Applications | 2017 |
| Classifying component failures of a hybrid electric vehicle fleet based on load spectrum data | Neural Computing and Applications | 2016 |
| RHC: a non-parametric cluster-based data reduction for efficient \(k\)-NN classification | Pattern Analysis and Applications | 2016 |
| Improving Optimum-Path Forest Classification Using Confidence Measures | Lecture Notes in Computer Science | 2015 |
| Feature selection and semi-supervised clustering using multiobjective optimization | SpringerPlus | 2014 |
| Performance analysis of rough set ensemble of learning classifier systems with differential evolution based rule discovery | Evolutionary Intelligence | 2013 |
| An immune-inspired instance selection mechanism for supervised classification | Memetic Computing | 2012 |
