Sawon Pratiher
Orcid: 0000-0001-8471-8148
According to our database1,
Sawon Pratiher
authored at least 23 papers
between 2015 and 2023.
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Bibliography
2023
Parasympathetic-Sympathetic Causal Interactions and Perceived Workload for Varying Difficulty Affective Computing Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Sparsity Regularized Deep Subspace Clustering for Multicriterion-Based Hyperspectral Band Selection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
A Dilated Residual Vision Transformer for Atrial Fibrillation Detection from Stacked Time-Frequency ECG Representations.
Proceedings of the IEEE International Conference on Acoustics, 2022
A Multi-Scale Context Aggregation Enriched MLP-Mixer Model for Oral Cancer Screening from Oral Sub-epithelial Connective Tissues.
Proceedings of the 30th European Signal Processing Conference, 2022
Multi-granular Analysis and Physiological Interpretations of Heart Rate Variability Metrics During VR-Shooting Difficulty Induced Stress.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Multifractal Alterations in Oral Sub-Epithelial Connective Tissue During Progression of Pre-Cancer and Cancer.
IEEE J. Biomed. Health Informatics, 2021
Improving Stability of Adversarial Li-ion Cell Usage Data Generation using Generative Latent Space Modelling.
Proceedings of the IEEE International Conference on Acoustics, 2021
Alterations in Multi-channel EEG Dynamics During a Stressful Shooting Task in Virtual Reality Systems.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Channel Self-Attention Deep Learning Framework for Multi-Cardiac Abnormality Diagnosis from Varied-Lead ECG Signals.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
A Bio-toolkit for Multi-Cardiac Abnormality Diagnosis Using ECG Signal and Deep Learning.
Proceedings of the Computing in Cardiology, 2020
2019
Detection of epileptic seizure employing a novel set of features extracted from multifractal spectrum of electroencephalogram signals.
IET Signal Process., 2019
Diving Deep onto Discriminative Ensemble of Histological Hashing & Class-Specific Manifold Learning for Multi-class Breast Carcinoma Taxonomy.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Manifold Learning & Stacked Sparse Autoencoder for Robust Breast Cancer Classification from Histopathological Images.
CoRR, 2018
Grading Tumor Malignancy via Deep Bidirectional LSTM on Graph Manifold Encoded Histopathological Image.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Grading heart sounds through variational mode decomposition and higher order spectral features.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018
StationPlot: A New Non-stationarity Quantification Tool for Detection of Epileptic Seizures.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
2017
Automated Diagnosis of Epilepsy Employing Multifractal Detrended Fluctuation Analysis Based Features.
CoRR, 2017
2016
ECG signal analysis using wavelet coherence and s-transform for classification of cardiovascular diseases.
Proceedings of the 2016 International Conference on Advances in Computing, 2016
2015
A comparative study between proposed Hyper Kurtosis based Modified Duo-Histogram Equalization (HKMDHE) and Contrast Limited Adaptive Histogram Equalization (CLAHE) for Contrast Enhancement Purpose of Low Contrast Human Brain CT scan images.
CoRR, 2015
Application of S-Transform on Hyper kurtosis based Modified Duo Histogram Equalized DIC images for Pre-cancer Detection.
CoRR, 2015
Wavelet based approach for tissue fractal parameter measurement: Pre cancer detection.
CoRR, 2015
An optimized hyper kurtosis based modified duo-histogram equalization (HKMDHE) method for contrast enhancement purpose of low contrast human brain CT scan images.
Proceedings of the 2015 International Conference on Advances in Computing, 2015