{"total":59,"rows":[{"id":"2205.03433","title":"Vocalsound: A Dataset for Improving Human Vocal Sounds Recognition","created":"2022-05-06","cited_by_count":62,"area":null},{"id":"2102.13468","title":"The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates","created":"2021-02-24","cited_by_count":32,"area":null},{"id":"2106.15523","title":"Sounds of COVID-19: exploring realistic performance of audio-based digital testing","created":"2021-06-29","cited_by_count":20,"area":null},{"id":"2103.13300","title":"Automatic Cough Classification for Tuberculosis Screening in a Real-World Environment","created":"2021-03-23","cited_by_count":17,"area":null},{"id":"2105.07566","title":"Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification","created":"2021-05-17","cited_by_count":16,"area":null},{"id":"2212.08570","title":"Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers","created":"2022-12-15","cited_by_count":12,"area":null},{"id":"2102.09258","title":"Biometrics in the Era of COVID-19: Challenges and Opportunities","created":"2021-02-18","cited_by_count":11,"area":null},{"id":"2104.02477","title":"COVID-19 Detection in Cough, Breath and Speech using Deep Transfer Learning and Bottleneck Features","created":"2021-04-02","cited_by_count":9,"area":null},{"id":"2112.13381","title":"FRuDA: Framework for Distributed Adversarial Domain Adaptation","created":"2021-12-26","cited_by_count":8,"area":null},{"id":"2103.01806","title":"Virufy: A Multi-Branch Deep Learning Network for Automated Detection of COVID-19","created":"2021-03-02","cited_by_count":7,"area":null},{"id":"2104.12556","title":"COVID-19 Modeling: A Review","created":"2021-04-16","cited_by_count":7,"area":null},{"id":"2107.00948","title":"From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques","created":"2021-07-02","cited_by_count":7,"area":null},{"id":"2107.10716","title":"Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough","created":"2021-07-12","cited_by_count":7,"area":null},{"id":"2104.02005","title":"Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data","created":"2021-04-05","cited_by_count":6,"area":null},{"id":"2112.09196","title":"Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift","created":"2021-12-16","cited_by_count":6,"area":null},{"id":"2303.15585","title":"(Un)fair devices: Moving beyond AI accuracy in personal sensing","created":"2023-03-27","cited_by_count":6,"area":null},{"id":"2107.14549","title":"Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challenges","created":"2021-07-30","cited_by_count":5,"area":null},{"id":"2201.01232","title":"Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation","created":"2022-01-04","cited_by_count":5,"area":null},{"id":"2309.14383","title":"Towards using Cough for Respiratory Disease Diagnosis by leveraging Artificial Intelligence: A Survey","created":"2023-09-24","cited_by_count":5,"area":null},{"id":"2207.09529","title":"COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers","created":"2022-07-19","cited_by_count":4,"area":null},{"id":"2212.07738","title":"A large-scale and PCR-referenced vocal audio dataset for COVID-19","created":"2022-12-15","cited_by_count":4,"area":null},{"id":"2501.01117","title":"Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation","created":"2025-01-02","cited_by_count":4,"area":null},{"id":"2104.07128","title":"Audio feature ranking for sound-based COVID-19 patient detection","created":"2021-04-14","cited_by_count":3,"area":null},{"id":"2201.01669","title":"Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough","created":"2022-01-05","cited_by_count":3,"area":null},{"id":"2211.14372","title":"Interpretability Analysis of Deep Models for COVID-19 Detection","created":"2022-11-25","cited_by_count":3,"area":null},{"id":"2102.08359","title":"End-2-End COVID-19 Detection from Breath & Cough Audio","created":"2021-01-07","cited_by_count":2,"area":null},{"id":"2106.12174","title":"Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds","created":"2021-06-23","cited_by_count":2,"area":null},{"id":"2202.04303","title":"TinyM$^2$Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices","created":"2022-02-09","cited_by_count":2,"area":null},{"id":"2202.08981","title":"A Summary of the ComParE COVID-19 Challenges","created":"2022-02-17","cited_by_count":2,"area":null},{"id":"2205.07682","title":"L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from Smartphone Data","created":"2022-05-16","cited_by_count":2,"area":null},{"id":"2404.01620","title":"Voice EHR: Introducing Multimodal Audio Data for Health","created":"2024-04-02","cited_by_count":2,"area":null},{"id":"2509.09515","title":"Cough Classification using Few-Shot Learning","created":"2025-09-11","cited_by_count":2,"area":null},{"id":"2112.07285","title":"Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice","created":"2021-12-14","cited_by_count":1,"area":null},{"id":"2212.08571","title":"Statistical Design and Analysis for Robust Machine Learning: A Case Study from COVID-19","created":"2022-12-15","cited_by_count":1,"area":null},{"id":"2212.10093","title":"Visual Transformers for Primates Classification and Covid Detection","created":"2022-12-20","cited_by_count":1,"area":null},{"id":"2402.07619","title":"Developing a Multi-variate Prediction Model For COVID-19 From Crowd-sourced Respiratory Voice Data","created":"2024-02-12","cited_by_count":1,"area":null},{"id":"2504.00730","title":"Detection of Disease on Nasal Breath Sound by New Lightweight Architecture: Using COVID-19 as An Example","created":"2025-04-01","cited_by_count":1,"area":null},{"id":"2508.14949","title":"XAI-Driven Spectral Analysis of Cough Sounds for Respiratory Disease Characterization","created":"2025-08-20","cited_by_count":1,"area":null},{"id":"2104.10891","title":"Computer Vision-based Social Distancing Surveillance Solution with Optional Automated Camera Calibration for Large Scale Deployment","created":"2021-04-22","cited_by_count":0,"area":null},{"id":"2106.03851","title":"Impact of data-splits on generalization: Identifying COVID-19 from cough and context","created":"2021-06-05","cited_by_count":0,"area":null},{"id":"2109.01669","title":"Multimodal Detection of COVID-19 Symptoms using Deep Learning & Probability-based Weighting of Modes","created":"2021-09-03","cited_by_count":0,"area":null},{"id":"2109.03219","title":"Fruit-CoV: An Efficient Vision-based Framework for Speedy Detection and Diagnosis of SARS-CoV-2 Infections Through Recorded Cough Sounds","created":"2021-09-06","cited_by_count":0,"area":null},{"id":"2110.00508","title":"An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification","created":"2021-10-01","cited_by_count":0,"area":null},{"id":"2201.11109","title":"Using a Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML)","created":"2022-01-21","cited_by_count":0,"area":null},{"id":"2203.17012","title":"A Temporal-oriented Broadcast ResNet for COVID-19 Detection","created":"2022-03-31","cited_by_count":0,"area":null},{"id":"2204.04802","title":"On the pragmatism of using binary classifiers over data intensive neural network classifiers for detection of COVID-19 from voice","created":"2022-04-11","cited_by_count":0,"area":null},{"id":"2204.10581","title":"Fused Audio Instance and Representation for Respiratory Disease Detection","created":"2022-04-22","cited_by_count":0,"area":null},{"id":"2205.09667","title":"The AI Mechanic: Acoustic Vehicle Characterization Neural Networks","created":"2022-05-19","cited_by_count":0,"area":null},{"id":"2206.05053","title":"Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms","created":"2022-06-09","cited_by_count":0,"area":null},{"id":"2209.03727","title":"Developing a multi-variate prediction model for the detection of COVID-19 from Crowd-sourced Respiratory Voice Data","created":"2022-09-08","cited_by_count":0,"area":null},{"id":"2309.04505","title":"COVID-19 Detection System: A Comparative Analysis of System Performance Based on Acoustic Features of Cough Audio Signals","created":"2023-09-08","cited_by_count":0,"area":null},{"id":"2309.05357","title":"EDAC: Efficient Deployment of Audio Classification Models For COVID-19 Detection","created":"2023-09-11","cited_by_count":0,"area":null},{"id":"2309.12877","title":"FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing","created":"2023-09-22","cited_by_count":0,"area":null},{"id":"2401.02996","title":"An AI-enabled Bias-Free Respiratory Disease Diagnosis Model using Cough Audio: A Case Study for COVID-19","created":"2024-01-04","cited_by_count":0,"area":null},{"id":"2408.07522","title":"Optimising MFCC parameters for the automatic detection of respiratory diseases","created":"2024-08-14","cited_by_count":0,"area":null},{"id":"2409.19300","title":"Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework","created":"2024-09-28","cited_by_count":0,"area":null},{"id":"2410.12589","title":"From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2508.03764","title":"CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning","created":"2025-08-04","cited_by_count":0,"area":null},{"id":"2606.02998","title":"CoughSense: Five-Class Respiratory Disease Classification via Whisper Encoder Fine-Tuning and Dual-Encoder Cross-Attention Fusion with Balanced Contrastive Learning","created":"2026-06-02","cited_by_count":0,"area":null}],"next_cursor":null}