Copertina

COVID-19 Probability Prediction Using Machine Learning: An Infectious Approach

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ilani, Mohsen Asghari, Tehran, Saba Moftakhar, Kavei, Ashkan, Radmehr, Arian
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Automatic Image Annotation (AIA) of AlmondNet-20 Method for Almond Detection by Improved CNN-based Model
di: Ilani, Mohsen Asghari, et al.
Pubblicazione: (2024)

Exploring Machine Learning Models for Lung Cancer Level Classification: A comparative ML Approach
di: Ilani, Mohsen Asghari, et al.
Pubblicazione: (2024)

Predicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach
di: Shirouyeh, Koosha, et al.
Pubblicazione: (2024)

Diabetes Prediction and Management Using Machine Learning Approaches
di: Alzboon, Mowafaq Salem, et al.
Pubblicazione: (2025)

Can Machines Learn the True Probabilities?
di: Kim, Jinsook
Pubblicazione: (2024)

Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
di: Radmehr, Bahar, et al.
Pubblicazione: (2024)

Effective Confidence Region Prediction Using Probability Forecasters
di: Lindsay, David, et al.
Pubblicazione: (2024)

Cross-Temporal Attention Fusion (CTAF) for Multimodal Physiological Signals in Self-Supervised Learning
di: Khorasani, Arian, et al.
Pubblicazione: (2026)

Bank Loan Prediction Using Machine Learning Techniques
di: Haque, F M Ahosanul, et al.
Pubblicazione: (2024)

Fault Analysis And Predictive Maintenance Of Induction Motor Using Machine Learning
di: Venkatesh, Kavana, et al.
Pubblicazione: (2024)

Predicting Diabetes Using Machine Learning: A Comparative Study of Classifiers
di: Hasan, Mahade, et al.
Pubblicazione: (2025)

CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation
di: Aslam, Saba, et al.
Pubblicazione: (2024)

PathletRL++: Optimizing Trajectory Pathlet Extraction and Dictionary Formation via Reinforcement Learning
di: Alix, Gian, et al.
Pubblicazione: (2024)

A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
di: Murgai, Sharv, et al.
Pubblicazione: (2024)

Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning
di: Dadsetan, Saba, et al.
Pubblicazione: (2022)

PGCLODA: Prompt-Guided Graph Contrastive Learning for Oligopeptide-Infectious Disease Association Prediction
di: Tan, Dayu, et al.
Pubblicazione: (2025)

Sensi: Learn One Thing at a Time -- Curriculum-Based Test-Time Learning for LLM Game Agents
di: Arjmandi, Mohsen
Pubblicazione: (2026)

AdaProb: Efficient Machine Unlearning via Adaptive Probability
di: Zhao, Zihao, et al.
Pubblicazione: (2024)

Early Detection of Coronary Heart Disease Using Hybrid Quantum Machine Learning Approach
di: Banday, Mehroush, et al.
Pubblicazione: (2024)

Learning with Exact Invariances in Polynomial Time
di: Soleymani, Ashkan, et al.
Pubblicazione: (2025)

Enhancing Bankruptcy Prediction of Banks through Advanced Machine Learning Techniques: An Innovative Approach and Analysis
di: Rustam, Zuherman, et al.
Pubblicazione: (2025)

Bayesian Networks and Machine Learning for COVID-19 Severity Explanation and Demographic Symptom Classification
di: Ajayi, Oluwaseun T., et al.
Pubblicazione: (2024)

A Cost-Effective Framework for Predicting Parking Availability Using Geospatial Data and Machine Learning
di: Bagosher, Madyan, et al.
Pubblicazione: (2025)

A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
di: Ahmed, Forkan Uddin, et al.
Pubblicazione: (2024)

Epileptic Seizure Detection and Prediction from EEG Data: A Machine Learning Approach with Clinical Validation
di: Jayanti, Ria, et al.
Pubblicazione: (2025)

Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques
di: Li, Yubo, et al.
Pubblicazione: (2024)

A Dual-Perspective Approach to Evaluating Feature Attribution Methods
di: Li, Yawei, et al.
Pubblicazione: (2023)

An Efficient Unsupervised Federated Learning Approach for Anomaly Detection in Heterogeneous IoT Networks
di: Tajgardan, Mohsen, et al.
Pubblicazione: (2026)

Predicting Tennis Serve directions with Machine Learning
di: Zhu, Ying, et al.
Pubblicazione: (2026)

Understanding Prediction Discrepancies in Machine Learning Classifiers
di: Renard, Xavier, et al.
Pubblicazione: (2021)

Explainable Machine Learning for ICU Readmission Prediction
di: de Sá, Alex G. C., et al.
Pubblicazione: (2023)

Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-based Approach
di: Mohammed, Hamza Haruna, et al.
Pubblicazione: (2026)

Predicting Targeted Therapy Resistance in Non-Small Cell Lung Cancer Using Multimodal Machine Learning
di: Hua, Peiying, et al.
Pubblicazione: (2025)

Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
di: Amin, Md. Tahsin, et al.
Pubblicazione: (2026)

Artificial Intelligence for Infectious Disease Prediction and Prevention: A Comprehensive Review
di: Melchane, Selestine, et al.
Pubblicazione: (2024)

New Statistical Framework for Extreme Error Probability in High-Stakes Domains for Reliable Machine Learning
di: Michelucci, Umberto, et al.
Pubblicazione: (2025)

Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches
di: Liu, Xuefeng, et al.
Pubblicazione: (2024)

Anime Popularity Prediction Before Huge Investments: a Multimodal Approach Using Deep Learning
di: Armenta-Segura, Jesús, et al.
Pubblicazione: (2024)

Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems
di: Bai, Ruoxuan, et al.
Pubblicazione: (2024)

Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines
di: Yeganeh, Yavar Taheri, et al.
Pubblicazione: (2024)