An Insight into Classification with Imbalanced Data: Empirical Results and Current Trends on Using Data Intrinsic Characteristics V Lopez, A Fernandez, G S., V Palade, F Herrera Information Sciences, 2013 | 1809 | 2013 |
FSVM-CIL: fuzzy support vector machines for class imbalance learning R Batuwita, V Palade IEEE Transactions on Fuzzy Systems 18 (3), 558-571, 2010 | 480 | 2010 |
Quantum-behaved particle swarm optimization: analysis of individual particle behavior and parameter selection J Sun, W Fang, X Wu, V Palade, W Xu Evolutionary computation 20 (3), 349-393, 2012 | 405 | 2012 |
Computational intelligence in fault diagnosis V Palade, CD Bocaniala, LC Jain Springer Publishing Company, Incorporated, 2006 | 324* | 2006 |
CLASS IMBALANCE LEARNING METHODS FOR SUPPORT VECTOR MACHINES R Batuwita, V Palade Imbalanced Learning: Foundations, Algorithms, and Applications, 83, 2013 | 299 | 2013 |
microPred: effective classification of pre-miRNAs for human miRNA gene prediction R Batuwita, V Palade Bioinformatics 25 (8), 989-995, 2009 | 290 | 2009 |
Multi-classifier systems: Review and a roadmap for developers R Ranawana, V Palade International journal of hybrid intelligent systems 3 (1), 35-61, 2006 | 260 | 2006 |
Convergence analysis and improvements of quantum-behaved particle swarm optimization J Sun, X Wu, V Palade, W Fang, CH Lai, W Xu Information Sciences 193, 81-103, 2012 | 251 | 2012 |
Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point J Sun, W Fang, V Palade, X Wu, W Xu Applied Mathematics and Computation 218 (7), 3763-3775, 2011 | 240 | 2011 |
Solving the Power Economic Dispatch Problem with Generator Constraints by Random Drift Particle Swarm Optimization S J., V Palade, X Wu, W Fang, Z Wang IEEE Trans. on Industrial Informatics 10 (1), 222-232, 2014 | 228* | 2014 |
Interactive machine learning: experimental evidence for the human in the algorithmic loop: A case study on Ant Colony Optimization A Holzinger, M Plass, M Kickmeier-Rust, K Holzinger, GC Crişan, ... Applied Intelligence 49, 2401-2414, 2019 | 220 | 2019 |
A combined CNN and LSTM model for Arabic sentiment analysis AM Alayba, V Palade, M England, R Iqbal Machine Learning and Knowledge Extraction: Second IFIP TC 5, TC 8/WG 8.4, 8 …, 2018 | 214 | 2018 |
An effective method of weld defect detection and classification based on machine vision J Sun, C Li, XJ Wu, V Palade, W Fang IEEE Transactions on Industrial Informatics 15 (12), 6322-6333, 2019 | 168 | 2019 |
Arabic language sentiment analysis on health services AM Alayba, V Palade, M England, R Iqbal 2017 1st international workshop on arabic script analysis and recognition …, 2017 | 168 | 2017 |
Efficient resampling methods for training support vector machines with imbalanced datasets R Batuwita, V Palade The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 160 | 2010 |
A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop A Holzinger, M Plass, K Holzinger, GC Crisan, CM Pintea, V Palade arXiv preprint arXiv:1708.01104, 2017 | 132 | 2017 |
Towards interactive Machine Learning (iML): applying ant colony algorithms to solve the traveling salesman problem with the human-in-the-loop approach A Holzinger, M Plass, K Holzinger, GC Crişan, CM Pintea, V Palade Availability, Reliability, and Security in Information Systems: IFIP WG 8.4 …, 2016 | 131 | 2016 |
Neuro-fuzzy ensemble approach for microarray cancer gene expression data analysis Z Wang, V Palade, Y Xu 2006 international symposium on evolving fuzzy systems, 241-246, 2006 | 121 | 2006 |
Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks R Razavi-Far, H Davilu, V Palade, C Lucas Neurocomputing 72 (13-15), 2939-2951, 2009 | 118 | 2009 |
Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing SS Rahim, V Palade, J Shuttleworth, C Jayne Brain informatics 3, 249-267, 2016 | 116 | 2016 |