Parag Chatterjee

Orcid: 0000-0001-6760-4704

According to our database1, Parag Chatterjee authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Machine Learning-Based Clinical Decision Support System for Mental Health Risk Profiling.
Proceedings of the Joint Proceedings of the ICAI 2024 Workshops WAAI 2024, 2024

2023
Open Data and transparency in artificial intelligence and machine learning: A new era of research.
F1000Research, 2023

Predictive Modeling for Detection of Depression Using Machine Learning.
Proceedings of the Applied Informatics - 6th International Conference, 2023

Depression and Anxiety Diagnosis Using Unsupervised Learning Approach.
Proceedings of the Joint Proceedings of the ICAI 2023 Workshops WAAI 2023, 2023

Different Types of Training Lead to Different Levels of Cardiovascular Energy Dissipation: Young Soccer Players Versus Ballet Dancers.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Special Issue: IoT Toward COVID-19.
Internet Things, 2022

Predictive Modeling Toward the Design of a Forensic Decision Support System Using Cheiloscopy for Identification from Lip Prints.
Proceedings of the Applied Informatics: 5th International Conference, 2022

Depression Diagnosis using Text-based AI Methods - A Systematic Review.
Proceedings of the Joint Proceedings of the ICAI 2022 Workshops WAAI 2022, 2022

2021
Virtual Learning Approach Toward Introductory Biological Engineering Course in Uruguay During COVID-19.
EAI Endorsed Trans. Pervasive Health Technol., 2021

Editorial Preface: Special issue on IoT for eHealth, elderly and aging.
Internet Things, 2021

Predictive modeling toward identification of sex from lip prints - machine learning in cheiloscopy.
Proceedings of the Joint Proceedings of the ICAI 2021 Workshops WAAI 2021, 2021

Predictive Cardiometabolic Risk Profiling of Patients Using Vascular Age in Liver Transplantation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Survey: Departamento de Ingeniería Biológica, Universidad de la República Uruguay (Course: Taller 1 - Change to Virtual Modality during COVID-19).
Dataset, October, 2020


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