Charith Chitraranjan
Orcid: 0000-0003-3205-2211
According to our database1,
Charith Chitraranjan
authored at least 17 papers
between 2010 and 2021.
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Bibliography
2021
Real-time automated video highlight generation with dual-stream hierarchical growing self-organizing maps.
J. Real Time Image Process., 2021
IEEE Access, 2021
2020
Radiogenomics of Glioblastoma: Identification of Radiomics Associated with Molecular Subtypes.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
Computación y Sistemas, 2019
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Transfer Learning with Ensemble Feature Extraction and Low-Rank Matrix Factorization for Severity Stage Classification of Diabetic Retinopathy.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Deep Supervised Hashing through Ensemble CNN Feature Extraction and Low-Rank Matrix Factorization for Retinal Image Retrieval of Diabetic Retinopathy.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
A Robust Neural Network-Based Method to Estimate Arterial Blood Pressure Using Photoplethysmography.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
A Machine Learning Approach to Predict Diabetes Using Short Recorded Photoplethysmography and Physiological Characteristics.
Proceedings of the Artificial Intelligence in Medicine, 2019
2016
A Complete Observation Model for Tracking Vehicles from Mobile Phone Signal Strengths and Its Potential in Travel-Time Estimation.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016
2015
Tracking vehicle trajectories by local dynamic time warping of mobile phone signal strengths and its potential in travel-time estimation.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015
2011
Frequent Substring-Based Sequence Classification with an Ensemble of Support Vector Machines Trained Using Reduced Amino Acid Alphabets.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Multiple Sources Classification of Gene Position on Chromosomes Using Statistical Significance of Individual Classification Results.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010