2025
Self Data Augmentation for Open Domain Question Answering.
ACM Trans. Inf. Syst., March, 2025
2024
End-to-end approach of multi-grained embedding of categorical features in tabular data.
Inf. Process. Manag., March, 2024
Empirical study of outlier impact in classification context.
Expert Syst. Appl., 2024
High-order polynomial interpolation with CNN: A robust approach for missing data imputation.
Comput. Electr. Eng., 2024
Knowledge Distillation with Classmate.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
2023
A study on relationship between prediction uncertainty and robustness to noisy data.
Int. J. Syst. Sci., April, 2023
Adaptive Selection of BERT Layer for Multi-Label Text Classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023
An End-to-End Training Method to Ensemble Bi-Linear Models for Knowledge Graph Completion.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023
2022
Disrupting networks of hate: characterising hateful networks and removing critical nodes.
Soc. Netw. Anal. Min., 2022
Empirical study on virtual order of class labels in nominal classification.
Int. J. Mach. Learn. Cybern., 2022
Handling missing data through deep convolutional neural network.
Inf. Sci., 2022
A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications.
Neurocomputing, 2022
Learning to recommend journals for submission based on embedding models.
Neurocomputing, 2022
2021
Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models.
Sensors, 2021
A geometry constrained dictionary learning method for industrial process monitoring.
Inf. Sci., 2021
Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering.
Comput. Electr. Eng., 2021
Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack.
Appl. Soft Comput., 2021
Performance Evaluation of Deep Learning Classification Network for Image Features.
IEEE Access, 2021
2020
Human posture recognition based on multiple features and rule learning.
Int. J. Mach. Learn. Cybern., 2020
Heuristic creation of deep rule ensemble through iterative expansion of feature space.
Inf. Sci., 2020
Deep Learning Based Fusion Approach for Hate Speech Detection.
IEEE Access, 2020
A New Hybrid Convolutional Neural Network and eXtreme Gradient Boosting Classifier for Recognizing Handwritten Ethiopian Characters.
IEEE Access, 2020
A Deep Learning Based Wearable Healthcare Iot Device for AI-Enabled Hearing Assistance Automation.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020
Object Recognition Using Enhanced Particle Swarm Optimization.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020
Bert-Pair-Networks for Sentiment Classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020
Scmhl5 at TRAC-2 Shared Task on Aggression Identification: Bert Based Ensemble Learning Approach.
Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying, 2020
2019
"The Enemy Among Us": Detecting Cyber Hate Speech with Threats-based Othering Language Embeddings.
ACM Trans. Web, 2019
A Fuzzy Approach to Text Classification With Two-Stage Training for Ambiguous Instances.
IEEE Trans. Comput. Soc. Syst., 2019
Heuristic target class selection for advancing performance of coverage-based rule learning.
Inf. Sci., 2019
Subclass-based semi-random data partitioning for improving sample representativeness.
Inf. Sci., 2019
Multi-stage mixed rule learning approach for advancing performance of rule-based classification.
Inf. Sci., 2019
Advancing Ensemble Learning Performance through data transformation and classifiers fusion in granular computing context.
Expert Syst. Appl., 2019
Improving K-means clustering with enhanced Firefly Algorithms.
Appl. Soft Comput., 2019
Fuzzy Multi-task Learning for Hate Speech Type Identification.
Proceedings of the World Wide Web Conference, 2019
Detection of Suicidal Twitter Posts.
Proceedings of the Advances in Computational Intelligence Systems, 2019
Multi-Level Creation of Fuzzy Ensembles through Diversified Settings of Parameters.
Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019
Multi-Channel Convolutional Neural Network for Targeted Sentiment Classification.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019
Multi-Perspective Creation of Diversity for Image Classification In Ensemble Learning Context.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019
Multi-Task Ensemble Creation for Advancing Performance of Image Segmentation.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019
2018
Induction of classification rules by Gini-index based rule generation.
Inf. Sci., 2018
Mining of Nutritional Ingredients in Food for Disease Analysis.
IEEE Access, 2018
Identification and Classification of Misogynous Tweets Using Multi-classifier Fusion.
Proceedings of the Third Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval 2018) co-located with 34th Conference of the Spanish Society for Natural Language Processing (SEPLN 2018), 2018
Multi-Level Fusion of Classifiers Through Fuzzy Ensemble Learning.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018
Improving Imbalanced Question Classification Using Structured Smote Based Approach.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018
Text Classification For Suicide Related Tweets.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018
Suiciderelated Text Classification With Prism Algorithm.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018
Suspended Accounts: A Source of Tweets with Disgust and Anger Emotions for Augmenting Hate Speech Data Sample.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018
J-Measure Based Pruning for Advancing Classification Performance of Information Entropy Based Rule Generation.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018
Evaluation of Rule-Based Learning and Feature Selection Approaches For Classification.
Proceedings of the 2018 Imperial College Computing Student Workshop, 2018
Fuzzy rule based systems for gender classification from blog data.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018
2017
Rule Based Networks: An Efficient and Interpretable Representation of Computational Models.
J. Artif. Intell. Soft Comput. Res., 2017
Domain specific syntax based approach for text classification in machine learning context.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017
Decision tree learning based feature evaluation and selection for image classification.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017
Transformation of discriminative single-task classification into generative multi-task classification in machine learning context.
Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017
Fuzzy rule based systems for interpretable sentiment analysis.
Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017
Fuzzy approach for sentiment analysis.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
Interpretability of Computational Models for Sentiment Analysis.
Proceedings of the Sentiment Analysis and Ontology Engineering, 2016
Collaborative rule generation: An ensemble learning approach.
J. Intell. Fuzzy Syst., 2016
Complexity Control in Rule Based Models for Classification in Machine Learning Context.
Proceedings of the Advances in Computational Intelligence Systems, 2016
Rule based systems and networks: Deterministic and fuzzy approaches.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016
Nature and biology inspired approach of classification towards reduction of bias in machine learning.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016
2015
Rule based systems for classification in machine learning context.
PhD thesis, 2015
Hybrid ensemble learning approach for generation of classification rules.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015
Network based rule representation for knowledge discovery and predictive modelling.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
2014
Categorization and Construction of Rule Based Systems.
Proceedings of the Engineering Applications of Neural Networks, 2014
2012
Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining.
Trans. Large Scale Data Knowl. Centered Syst., 2012
2011
Distributed Classification for Pocket Data Mining.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011