Ted Scully

According to our database, Ted Scully authored at least 13 papers between 2004 and 2023.

Collaborative distances:

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

2023

Federated Split Learning with Only Positive Labels for resource-constrained IoT environment.

Praveen Joshi, Chandra Thapa, Mohammed Hasanuzzaman, Ted Scully, Haithem Afli

CoRR, 2023

Enabling All In-Edge Deep Learning: A Literature Review.

Praveen Joshi, Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully

IEEE Access, 2023

Profiling Power Consumption for Deep Learning on Resource Limited Devices.

Aidan Duggan, Ted Scully, Niall Smith, Alan Giltinan

Proceedings of the Artificial Intelligence XL, 2023

2022

Enabling Deep Learning for All-in EDGE paradigm.

Praveen Joshi, Haithem Afli, Mohammed Hasanuzzaman, Chandra Thapa, Ted Scully

CoRR, 2022

2021

Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance.

Praveen Joshi, Chandra Thapa, Seyit Camtepe, Mohammed Hasanuzzaman, Ted Scully, Haithem Afli

CoRR, 2021

Improving type information inferred by decompilers with supervised machine learning.

Javier Escalada, Ted Scully, Francisco Ortin

CoRR, 2021

2017

An Efficient Platform for the Automatic Extraction of Patterns in Native Code.

Javier Escalada, Francisco Ortin, Ted Scully

Sci. Program., 2017

2016

On the Importance of Spatial Perception for the Design of Adaptive User Interfaces.

Tilman Deuschel, Ted Scully

Proceedings of the 10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2016

Facilitating Multi-agent Coalition Formation in Self-interested Environments.

Ted Scully, Michael G. Madden

Proceedings of the Agents and Artificial Intelligence - 8th International Conference, 2016

Promoting Cooperation and Fairness in Self-interested Multi-Agent Systems.

Ted Scully, Michael G. Madden

Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016

2014

Forming Coalitions in Self-interested Multi-agent Environments Through the Promotion of Fair and Cooperative Behaviour.

Ted Scully, Michael G. Madden

Proceedings of the Multi-Agent Systems - 12th European Conference, 2014

2009

Wireless LAN load balancing with genetic algorithms.

Ted Scully, Kenneth N. Brown

Knowl. Based Syst., 2009

2004

Coalition calculation in a dynamic agent environment.

Ted Scully, Michael G. Madden, Gerard Lyons

Proceedings of the Machine Learning, 2004