Christopher Donnan Gravelle

According to our database, Christopher Donnan Gravelle authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Is the Past a Different Culture? Tracking Changes in Prosodic Features of Child-Directed Broadcasting Across Six Decades.

Vera Kempe, Christopher Donnan Gravelle, Stina Perschke, Glenn P. Williams, Sonja Schaeffler

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Modeling Processing Speed in Developmental Language Disorder using Drift Diffusion Modeling.

Peter J. Johnson, Christopher Gravelle, Nicolas Zapparrata, Patricia J. Brooks, Carol A. Miller

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Investigating the Impact of Vocabulary Size on Lexical Networks using Latent Space Modeling.

Christopher Donnan Gravelle

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Linking Production of Mandarin Tonal Contrasts with Musicality in Adult Learners.

Chen Gao, Christopher Donnan Gravelle, Shan Jiang, Patricia J. Brooks

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024

A Comparative Bayesian Meta-Analysis of Reaction Time-Based Tasks in Developmental Dyslexia.

Nicole Zapparrata, Christopher Donnan Gravelle, Patricia J. Brooks

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2022

Dyslexia and Motor Skills: A Meta-Analysis.

Rita Obeid, Catherine M. Messina, Nicole Zapparrata, Christopher Gravelle, Patricia J. Brooks

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2020

Deep Learning for Modulation Recognition: A Survey With a Demonstration.

Ruolin Zhou, Fugang Liu, Christopher Gravelle

IEEE Access, 2020

2019

Study of Convolutional Neural Network for Recognition of Baseband Signals.

Christopher Gravelle, Ruolin Zhou

Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

SDR Demonstration of Signal Classification in Real-Time Using Deep Learning.

Christopher Gravelle, Ruolin Zhou

Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

Deep Learning-Enabled Real-Time Recognition of Wireless Signals.

Christopher Gravelle, Todd Morehouse, Ruolin Zhou

Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019