Shameek Ghosh
According to our database1,
Shameek Ghosh
authored at least 27 papers
between 2012 and 2024.
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Bibliography
2024
An Ontology-based Three-Stage Approach to Medical Text classification with Feature Selection by Particle Swarm Optimisation.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024
2021
Substituting clinical features using synthetic medical phrases: Medical text data augmentation techniques.
Artif. Intell. Medicine, 2021
2020
A Dictionary-based Oversampling Approach to Clinical Document Classification on Small and Imbalanced Dataset.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020
Predicting missing and noisy links via neighbourhood preserving graph embeddings in a clinical knowlegebase.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Understanding patient complaint characteristics using contextual clinical BERT embeddings.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Continuous Improvement of Medical Diagnostic Systems with Large Scale Patient Vignette Simulation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
BMC Bioinform., 2019
Stratifying Risk of Coronary Artery Disease Using Discriminative Knowledge-Guided Medical Concept Pairings from Clinical Notes.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
An Ontology-based Two-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Discovering pan-correlation patterns from time course data sets by efficient mining algorithms.
Computing, 2018
Uncovering Discriminative Knowledge-Guided Medical Concepts for Classifying Coronary Artery Disease Notes.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
2017
Multivariate sequential contrast pattern mining and prediction models for critical care clinical informatics
PhD thesis, 2017
Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns.
J. Biomed. Informatics, 2017
Proceedings of the Computing in Cardiology, 2017
2016
IEEE J. Biomed. Health Informatics, 2016
Predicting short-term ICU outcomes using a sequential contrast motif based classification framework.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Deriving Public Sector Workforce Insights: A Case Study Using Australian Public Sector Employment Profiles.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
2014
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Risk Prediction for Acute Hypotensive Patients by Using Gap Constrained Sequential Contrast Patterns.
Proceedings of the AMIA 2014, 2014
2013
Simultaneous Gene Selection and Cancer Classification Using a Hybrid Intelligent Water Drop Approach.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013
Simultaneous gene selection and cancer classification using a hybrid group search optimizer.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Hybrid feature selection and peptide binding affinity prediction using an EDA based algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Variable Selection and Fault Detection Using a Hybrid Intelligent Water Drop Algorithm.
Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012
Hybrid Biogeography Based Simultaneous Feature Selection and Prediction of N-Myristoylation Substrate Proteins Using Support Vector Machines and Random Forest Classifiers.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012
Biogeography-based informative gene selection and cancer classification using SVM and Random Forests.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Hybrid Firefly Based Simultaneous Gene Selection and Cancer Classification Using Support Vector Machines and Random Forests.
Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2012