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Neural Computing and Applications, ISSN 0941-0643, 11/2016, Volume 27, Issue 8, pp. 2279 - 2288
Journal Article
Information sciences, ISSN 0020-0255, 04/2017, Volume 384, pp. 220 - 234
In numerous applications and especially in the life science domain, examples are labelled at a higher level of granularity. For example, binary classification... 
Genetic algorithm | Class decomposition | Life science | Random forests | PACKAGE | COMPUTER SCIENCE, INFORMATION SYSTEMS | CLASSIFICATION | CLASSIFIERS | PREDICTION | Genetic research | Usage | Genetic engineering | Forests and forestry | Algorithms
Journal Article
Digital investigation, ISSN 1742-2876, 2019, Volume 29, pp. 67 - 81
Video tampering methods have witnessed considerable progress in recent years. This is partly due to the rapid development of advanced deep learning methods,... 
Deep learning | Video tampering | Video synthesis | Video forgery | OBJECT REMOVAL | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | FORGERY | TIME | QUALITY ASSESSMENT | COMPENSATED FRAME INTERPOLATION | Video production
Journal Article
Computational intelligence and neuroscience, ISSN 1687-5265, 12/2015, Volume 2015, pp. 109029 - 19
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2018, Volume 11314, pp. 689 - 697
Conference Proceeding
International journal of neural systems, ISSN 0129-0657, 09/2020, Volume 30, Issue 9, p. 2075002
In the paper Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson’s Disease, the authors... 
Response to Discussion
Journal Article
Information sciences, ISSN 0020-0255, 2020, Volume 509, pp. 47 - 70
Class imbalanced datasets are common across different domains including health, security, banking and others. A typical supervised learning algorithm tends to... 
Imbalanced dataset | Undersampling | k-NN | Class overlap | Classification | SMOTE | PERFORMANCE | COMPUTER SCIENCE, INFORMATION SYSTEMS | TRENDS | SAMPLING METHOD | Data mining | Algorithms | Machine learning
Journal Article
International journal of neural systems, ISSN 0129-0657, 08/2020, Volume 30, Issue 8, p. 2050043
Classification of imbalanced datasets has attracted substantial research interest over the past decades. Imbalanced datasets are common in several domains such... 
Research Article | epilepsy | imbalanced data | Parkinson's disease | SMOTE | fuzzy C-means | Class overlap | classification | SAMPLING METHOD | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | undersampling | adaptive threshold | Epilepsy
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2019, Volume 361, pp. 212 - 221
Class-imbalanced datasets are common across different domains such as health, banking, security and others. With such datasets, the learning algorithms are... 
Deep learning | Imbalanced data | Image classification | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Liquors | Algorithms | Data mining | Neural networks | Analysis
Journal Article
Neural computing & applications, ISSN 1433-3058, 2019, Volume 32, Issue 16, pp. 12243 - 12257
...ENGINEERING APPLICATIONS OF NEURAL NETWORKS 2018 Video tampering localisation using features learned from authentic content Pamela Johnston1 • Eyad Elyan1... 
Deep learning | FORGERY | CNN | Compression | Video tampering detection | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Digital media | Parameter estimation | Localization | Data sets | Machine learning | Artificial neural networks
Journal Article
Neural networks, ISSN 0893-6080, 09/2020, Volume 129, pp. 91 - 102
Engineering drawings are commonly used in different industries such as Oil and Gas, construction, and other types of engineering. Digitising these drawings is... 
Deep learning | YOLO | Symbols recognition | Engineering drawings | P&ID | GANs | RECOGNITION | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal Article
Neural computing & applications, ISSN 0941-0643, 07/2020
Journal Article
Systems science & control engineering, ISSN 2164-2583, 2014, Volume 2, Issue 1, pp. 602 - 609
Ensemble classification is a data mining approach that utilizes a number of classifiers that work together in order to identify the class label for unlabeled... 
ensemble learning | random forests | supervised learning | bagging | Ensemble learning | Supervised learning | Bagging | Random forests
Journal Article
ACM computing surveys, ISSN 0360-0300, 06/2017, Volume 50, Issue 2
Imitation learning techniques aim to mimic human behavior in a given task. An agent (a learning machine) is trained to perform a task from demonstrations by... 
Task complexity | Humanoid | Autonomous cars | Computer & video games | Robotics | Studies | Teaching methods | Algorithms | Maps | Machine learning | Electronic & video games | Human behavior | Processors | Artificial intelligence
Journal Article
ACM computing surveys, ISSN 0360-0300, 2017, Volume 50, Issue 2, pp. 1 - 35
Journal Article