Coalition calculation in a dynamic agent environment. - Ted Scully; Michael G. Madden; Gerard Lyons (ICML, 2004)

Wireless LAN load balancing with genetic algorithms. - Ted Scully; Kenneth N. Brown (Knowl. Based Syst., 2009)

Forming Coalitions in Self-interested Multi-agent Environments Through the Promotion of Fair and Cooperative Behaviour. - Ted Scully; Michael G. Madden (EUMAS, 2014)

Promoting Cooperation and Fairness in Self-interested Multi-Agent Systems. - Ted Scully; Michael G. Madden (ICAART (2), 2016)

Facilitating Multi-agent Coalition Formation in Self-interested Environments. - Ted Scully; Michael G. Madden (ICAART (Revised Selected Papers), 2016)

On the Importance of Spatial Perception for the Design of Adaptive User Interfaces. - Tilman Deuschel; Ted Scully (SASO, 2016)

An Efficient Platform for the Automatic Extraction of Patterns in Native Code. - Javier Escalada; Francisco Ortin; Ted Scully (Sci. Program., 2017)

Improving type information inferred by decompilers with supervised machine learning. - Javier Escalada; Ted Scully; Francisco Ortin (CoRR, 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)

Enabling Deep Learning for All-in EDGE paradigm. - Praveen Joshi; Haithem Afli; Mohammed Hasanuzzaman; Chandra Thapa; Ted Scully (CoRR, 2022)

Profiling Power Consumption for Deep Learning on Resource Limited Devices. - Aidan Duggan; Ted Scully; Niall Smith; Alan Giltinan (SGAI Conf., 2023)

Enabling All In-Edge Deep Learning: A Literature Review. - Praveen Joshi; Mohammed Hasanuzzaman; Chandra Thapa; Haithem Afli; Ted Scully (IEEE Access, 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)