Comparison of multiclass SVM classification techniques in an audio surveillance application under mismatched conditions. - Roneel V. Sharan; Tom J. Moir (DSP, 2014)

Audio surveillance under noisy conditions using time-frequency image feature. - Roneel V. Sharan; Tom J. Moir (DSP, 2014)

Robust audio surveillance using spectrogram image texture feature. - Roneel V. Sharan; Tom J. Moir (ICASSP, 2015)

Subband spectral histogram feature for improved sound recognition in low SNR conditions. - Roneel V. Sharan; Tom J. Moir (DSP, 2015)

Cochleagram image feature for improved robustness in sound recognition. - Roneel V. Sharan; Tom J. Moir (DSP, 2015)

Noise robust audio surveillance using reduced spectrogram image feature and one-against-all SVM. - Roneel V. Sharan; Tom J. Moir (Neurocomputing, 2015)

Subband Time-Frequency Image Texture Features for Robust Audio Surveillance. - Roneel V. Sharan; Tom J. Moir (IEEE Trans. Inf. Forensics Secur., 2015)

An overview of applications and advancements in automatic sound recognition. - Roneel V. Sharan; Tom J. Moir (Neurocomputing, 2016)

Cough sound analysis for diagnosing croup in pediatric patients using biologically inspired features. - Roneel V. Sharan; Udantha R. Abeyratne; Vinayak R. Swarnkar; Paul Porter (EMBC, 2017)

Automatic picking of snore events from overnight breath sound recordings. - Vinayak R. Swarnkar; Udantha R. Abeyratne; Roneel V. Sharan (EMBC, 2017)

Robust acoustic event classification using deep neural networks. - Roneel V. Sharan; Tom J. Moir (Inf. Sci., 2017)

Severity Analysis of Upper Airway Obstructions: Oesophageal Pressure Versus Snoring Sounds. - Mrunal N. Markandeya; Udantha R. Abeyratne; Roneel V. Sharan; Craig Hukins; Brett Duce; Karen McCloy (BioCAS, 2019)

Using Polysomnographic Data to Investigate Symptom Clusters Associated with Cognitive Decline in Patients with Obstructive Sleep Apnea. - Karen McCloy; Roneel V. Sharan; Udantha R. Abeyratne; Brett Duce; Craig Hukins; Vinayak R. Swarnkar (BioCAS, 2019)

Night-Time Brain Inter-Hemispheric Asynchrony in Sleep Apnea Patients Carry Information on Neuropsychological Impairment. - Vinayak R. Swarnkar; Udantha R. Abeyratne; Brett Duce; Roneel V. Sharan; Craig Hukins; Karen McCloy (BioCAS, 2019)

Automatic Croup Diagnosis Using Cough Sound Recognition. - Roneel V. Sharan; Udantha R. Abeyratne; Vinayak R. Swarnkar; Paul Porter (IEEE Trans. Biomed. Eng., 2019)

Corrections to "Automatic Croup Diagnosis Using Cough Sound Recognition". - Roneel V. Sharan; Udantha R. Abeyratne; Vinayak R. Swarnkar; Paul Porter (IEEE Trans. Biomed. Eng., 2019)

Epileptic Seizure Detection Using Multi-Channel EEG Wavelet Power Spectra and 1-D Convolutional Neural Networks. - Roneel V. Sharan; Shlomo Berkovsky (EMBC, 2020)

Voice Command Recognition Using Biologically Inspired Time-Frequency Representation and Convolutional Neural Networks. - Roneel V. Sharan; Shlomo Berkovsky; Sidong Liu (EMBC, 2020)

Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the Brainwaves. - Roneel V. Sharan; Shlomo Berkovsky; Ronnie Taib; Irena Koprinska; Jingjie Li (EMBC, 2020)

ECG-Derived Heart Rate Variability Interpolation and 1-D Convolutional Neural Networks for Detecting Sleep Apnea. - Roneel V. Sharan; Shlomo Berkovsky; Hao Xiong 001; Enrico W. Coiera (EMBC, 2020)

Robust Vision-Based Workout Analysis Using Diversified Deep Latent Variable Model. - Hao Xiong 001; Shlomo Berkovsky; Roneel V. Sharan; Sidong Liu; Enrico W. Coiera (EMBC, 2020)

ECG-Derived Respiration for Sleep-Wake Stage Classification. - Roneel V. Sharan (IICAIET, 2021)

Detecting pertussis in the pediatric population using respiratory sound events and CNN. - Roneel V. Sharan; Shlomo Berkovsky; David Fraile Navarro; Hao Xiong 001; Adam Jaffe (Biomed. Signal Process. Control., 2021)

Prediction of anxiety disorders using a feature ensemble based bayesian neural network. - Hao Xiong 001; Shlomo Berkovsky; Mia Romano; Roneel V. Sharan; Sidong Liu; Enrico W. Coiera; Lauren F. McLellan (J. Biomed. Informatics, 2021)

Benchmarking Audio Signal Representation Techniques for Classification with Convolutional Neural Networks. - Roneel V. Sharan; Hao Xiong 001; Shlomo Berkovsky (Sensors, 2021)

Detecting Cough Recordings in Crowdsourced Data Using CNN-RNN. - Roneel V. Sharan; Hao Xiong 001; Shlomo Berkovsky (BHI, 2022)

Productive and Non-Productive Cough Classification Using Biologically Inspired Techniques. - Roneel V. Sharan (IEEE Access, 2022)

Weak label based Bayesian U-Net for optic disc segmentation in fundus images. - Hao Xiong 001; Sidong Liu; Roneel V. Sharan; Enrico W. Coiera; Shlomo Berkovsky (Artif. Intell. Medicine, 2022)

Family informatics. - Enrico W. Coiera; Kathleen Yin; Roneel V. Sharan; Saba Akbar; Satya Vedantam; Hao Xiong 001; Jenny Waldie; Annie Y. S. Lau (J. Am. Medical Informatics Assoc., 2022)

Denoising Cough Sound Recordings Using Neural Networks. - Laya Jose; Shlomo Berkovsky; Hao Xiong 001; Cecilia Mascolo; Roneel V. Sharan (EMBC, 2023)

Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron. - Roneel V. Sharan; Kun Qian 003; Yoshiharu Yamamoto (EMBC, 2023)

Cough sound detection from raw waveform using SincNet and bidirectional GRU. - Roneel V. Sharan (Biomed. Signal Process. Control., 2023)

Detecting acute respiratory diseases in the pediatric population using cough sound features and machine learning: A systematic review. - Roneel V. Sharan; Hania Rahimi-Ardabili (Int. J. Medical Informatics, 2023)

Evaluation of Cough Sound Segmentation Algorithms in the Presence of Background Noise. - Roneel V. Sharan; Hao Xiong 001 (EMBC, 2024)

Emotion Recognition from Speech Signals by Mel-Spectrogram and a CNN-RNN. - Roneel V. Sharan; Cecilia Mascolo; Björn W. Schuller (EMBC, 2024)

Macro-Sleep Staging With ECG-Derived Instantaneous Heart Rate and Respiration Signals and Multi-Input 1-D CNN-BiGRU. - Roneel V. Sharan; Hiroki Takeuchi; Akifumi Kishi; Yoshiharu Yamamoto (IEEE Trans. Instrum. Meas., 2024)

Automated Cough Sound Analysis for Detecting Childhood Pneumonia. - Roneel V. Sharan; Kun Qian 003; Yoshiharu Yamamoto (IEEE J. Biomed. Health Informatics, 2024)

Wet and dry cough classification using cough sound characteristics and machine learning: A systematic review. - Roneel V. Sharan; Hao Xiong 001 (Int. J. Medical Informatics, 2025)

Uncertainty-guided attention learning for malaria parasite detection in thick blood smears. - Hao Xiong 001; Zhiyong Wang 001; Roneel V. Sharan; Shlomo Berkovsky (Neural Networks, 2025)