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COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans

COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans

Application of Seq2Seq Models on Code Correction

Application of Seq2Seq Models on Code Correction

Preventing Failures by Dataset Shift Detection in Safety-Critical Graph Applications

Preventing Failures by Dataset Shift Detection in Safety-Critical Graph Applications

Deep Learning and its Application for Healthcare Delivery in Low and Middle Income Countries

Deep Learning and its Application for Healthcare Delivery in Low and Middle Income Countries

Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data

Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data

Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing

Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing

On Consensus-Optimality Trade-offs in Collaborative Deep Learning

On Consensus-Optimality Trade-offs in Collaborative Deep Learning

Identification of Suicidal Ideation in the Canadian Community Health Survey—Mental Health Component Using Deep Learning

Identification of Suicidal Ideation in the Canadian Community Health Survey—Mental Health Component Using Deep Learning

Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children

Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children

Explainable AI and Reinforcement Learning—A Systematic Review of Current Approaches and Trends

Explainable AI and Reinforcement Learning—A Systematic Review of Current Approaches and Trends

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