Christopher G. Brinton

Author Info

Name	Affiliation	Papers
CHRISTOPHER G. BRINTON	Princeton Univ, Dept Elect Engn, Princeton, NJ 08540 USA	32
Collaborators	Citations	PageRank
63	118	15.23
Referers	Referees	References
339	551	239

Search Limit

100551

Publications (32 rows)

Collaborators (63 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks	0	0.34	2022
A Deep Ensemble-Based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification	4	0.48	2022
Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks	1	0.35	2022
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation	0	0.34	2021
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling	0	0.34	2021
Fast-Convergent Federated Learning	12	0.87	2021
Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations	1	0.37	2021
Economic Viability of a Virtual ISP	0	0.34	2020
An Adaptive Content Skipping Methodology based on User Behavioral Modeling	0	0.34	2020
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks	10	0.52	2020
Network-Aware Optimization Of Distributed Learning For Fog Computing	3	0.42	2020
Federated Learning with Communication Delay in Edge Networks	1	0.37	2020
Adaptive Remediation with Multi-modal Content.	0	0.34	2019
Early Detection Prediction of Learning Outcomes in Online Short-Courses via Learning Behaviors	2	0.40	2019
Predicting Learner Interactions in Social Learning Networks.	0	0.34	2018
Principles for Assessing Adaptive Online Courses.	0	0.34	2018
A Domain-Independent Text Segmentation Method for Educational Course Content.	0	0.34	2018
Predictive learning analytics for video-watching behavior in MOOCs	0	0.34	2018
Learner Behavioral Feature Refinement and Augmentation Using GANs.	0	0.34	2018
On the Efficiency of Online Social Learning Networks.	0	0.34	2018
Behavioral Analysis at Scale: Learning Course Prerequisite Structures from Learner Clickstreams.	0	0.34	2018
A network-driven methodology for sports ranking and prediction	0	0.34	2018
Course recommendation as graphical analysis	0	0.34	2018
A network-driven approach to modeling the spread of Ebola-type epidemics	1	0.40	2018
Behavior-Based Latent Variable Model for Learner Engagement.	1	0.37	2017
Behavior-Based Grade Prediction for MOOCs Via Time Series Neural Networks.	9	0.55	2017
Mining MOOC Clickstreams: Video-Watching Behavior vs. In-Video Quiz Performance.	9	0.59	2016
Social Learning Networks: Efficiency Optimization For Mooc Forums	4	0.43	2016
Mining MOOC Clickstreams: On the Relationship Between Learner Video-Watching Behavior and Performance.	6	0.48	2015
Mooc Performance Prediction Via Clickstream Data And Social Learning Networks	23	1.05	2015
Social learning networks: A brief survey	13	0.84	2014
Learning about Social Learning in MOOCs: From Statistical Analysis to Generative Model.	18	1.66	2013