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Jaideep Srivastava

Showing results (1-10 of 17) with videos related to

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Applied Artificial Intelligence : AAI|May 20, 2014
Robust Feature Selection Technique using Rank AggregationChandrima Sarkar, Sarah Cooley, Jaideep Srivastava
Social Network Analysis and Mining|July 5, 2022
Fake news spreader detection using trust-based strategies in social networks with bot filtrationBhavtosh Rath, Aadesh Salecha, Jaideep Srivastava
Studies in Health Technology and Informatics|May 27, 2021
Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone TherapyMatheus Araujo, Paula van Dommelen, Ekaterina Koledova, et al.
Plos One|September 17, 2013
Correlations between community structure and link formation in complex networksZhen Liu, Jia-Lin He, Komal Kapoor, et al.
Studies in Health Technology and Informatics|November 19, 2021
A Data-Driven Intervention Framework for Improving Adherence to Growth Hormone Therapy Based on Clustering Analysis and Traffic Light Alerting SystemsMatheus Araújo, Paula van Dommelen, Jaideep Srivastava, et al.
Diagnostics (Basel, Switzerland)|March 28, 2025
Time-Adaptive Machine Learning Models for Predicting the Severity of Heart Failure with Reduced Ejection FractionTrevor Winger, Cagri Ozdemir, Shanti L Narasimhan, et al.
Games for Health Journal|July 22, 2015
A Machine Learning-Based Analysis of Game Data for Attention Deficit Hyperactivity Disorder AssessmentMonika D Heller, Kurt Roots, Sanjana Srivastava, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 23, 2024
Low-Light Phase Retrieval With Implicit Generative PriorsRaunak Manekar, Elisa Negrini, Minh Pham, et al.
JMIR Mhealth and Uhealth|November 26, 2016
Correction of: Sleep Quality Prediction From Wearable Data Using Deep LearningAarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque, et al.
JMIR Mhealth and Uhealth|November 6, 2016
Sleep Quality Prediction From Wearable Data Using Deep LearningAarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Applied Artificial Intelligence : AAI|May 20, 2014
Robust Feature Selection Technique using Rank AggregationChandrima Sarkar, Sarah Cooley, Jaideep Srivastava
Social Network Analysis and Mining|July 5, 2022
Fake news spreader detection using trust-based strategies in social networks with bot filtrationBhavtosh Rath, Aadesh Salecha, Jaideep Srivastava
Studies in Health Technology and Informatics|May 27, 2021
Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone TherapyMatheus Araujo, Paula van Dommelen, Ekaterina Koledova, et al.
Plos One|September 17, 2013
Correlations between community structure and link formation in complex networksZhen Liu, Jia-Lin He, Komal Kapoor, et al.
Studies in Health Technology and Informatics|November 19, 2021
A Data-Driven Intervention Framework for Improving Adherence to Growth Hormone Therapy Based on Clustering Analysis and Traffic Light Alerting SystemsMatheus Araújo, Paula van Dommelen, Jaideep Srivastava, et al.
Diagnostics (Basel, Switzerland)|March 28, 2025
Time-Adaptive Machine Learning Models for Predicting the Severity of Heart Failure with Reduced Ejection FractionTrevor Winger, Cagri Ozdemir, Shanti L Narasimhan, et al.
Games for Health Journal|July 22, 2015
A Machine Learning-Based Analysis of Game Data for Attention Deficit Hyperactivity Disorder AssessmentMonika D Heller, Kurt Roots, Sanjana Srivastava, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 23, 2024
Low-Light Phase Retrieval With Implicit Generative PriorsRaunak Manekar, Elisa Negrini, Minh Pham, et al.
JMIR Mhealth and Uhealth|November 26, 2016
Correction of: Sleep Quality Prediction From Wearable Data Using Deep LearningAarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque, et al.
JMIR Mhealth and Uhealth|November 6, 2016
Sleep Quality Prediction From Wearable Data Using Deep LearningAarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque, et al.
Pageof 2