Michael Healy

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 10

Top Topics

Reinforcement Learning Agents

Multiple Sclerosis

Data Analysis Tools

Inertial Sensors

Top Venues

IEEE Trans. Broadcast.

Publications

Maria Tsampazi, Salvatore D'Oro, Michele Polese, Leonardo Bonati, Gwenael Poitau, Michael Healy, Mohammad Alavirad, Tommaso Melodia
PandORA: Automated Design and Comprehensive Evaluation of Deep Reinforcement Learning Agents for Open RAN. CoRR (2024)
Maria Tsampazi, Salvatore D'Oro, Michele Polese, Leonardo Bonati, Gwenael Poitau, Michael Healy, Tommaso Melodia
A Comparative Analysis of Deep Reinforcement Learning-Based xApps in O-RAN. GLOBECOM (2023)
Maria Tsampazi, Salvatore D'Oro, Michele Polese, Leonardo Bonati, Gwenael Poitau, Michael Healy, Tommaso Melodia
A Comparative Analysis of Deep Reinforcement Learning-based xApps in O-RAN. CoRR (2023)
Gabriel Orlanski, Seonhye Yang, Michael Healy
Evaluating How Fine-tuning on Bimodal Data Effects Code Generation. CoRR (2022)
Mark Roddy, Thuy Truong, Paul Walsh, Mustafa Al-Bado, Yanxin Wu, Michael Healy, Sean Ahearne
5G Network Slicing for Mission-critical use cases. 5G World Forum (2019)
Binh Vu, Ryan Donovan, Michael Healy, Paul Mc Kevitt, Paul Walsh, Felix Engel, Michael Fuchs, Matthias L. Hemmje
Using an Affective Computing Taxonomy Management System to Support Data Management in Personality Traits. BIBM (2019)
Qi Wang, Jose M. Alcaraz Calero, Ruben Ricart-Sanchez, Maria Barros Weiss, Anastasius Gavras, Navid Nikaein, Xenofon Vasilakos, Giacomo Bernini, Pietro G. Giardina, Mark Roddy, Michael Healy, Paul Walsh, Thuy Truong, Zdravko Bozakov, Konstantinos Koutsopoulos, Pedro Neves, Cristian Patachia-Sultanoiu, Marius Iordache, Elena-Madalina Oproiu, Imen Grida Ben Yahia, Ciriaco Angelo, Cosimo Zotti, Giuseppe Celozzi, Donal Morris, Ricardo Figueiredo, Dean H. Lorenz, Salvatore Spadaro, George Agapiou, Ana Cristina Aleixo, Cipriano Lomba
Enable Advanced QoS-Aware Network Slicing in 5G Networks for Slice-Based Media Use Cases. IEEE Trans. Broadcast. 65 (2) (2019)
Michael Healy, Ryan Donovan, Paul Walsh, Huiru Zheng
A Machine Learning Emotion Detection Platform to Support Affective Well Being. BIBM (2018)
Ryan Donovan, Michael Healy, Huiru Zheng, Felix Engel, Binh Vu, Michael Fuchs, Paul Walsh, Matthias L. Hemmje, Paul Mc Kevitt
SenseCare: Using Automatic Emotional Analysis to Provide Effective Tools for Supporting. BIBM (2018)
Michael Healy, Paul Walsh
Detecting demeanor for healthcare with machine learning. BIBM (2017)
Barry R. Greene, Michael Healy, Stephanie Rutledge, Brian Caulfield, Niall Tubridy
Quantitative assessment of multiple sclerosis using inertial sensors and the TUG test. EMBC (2014)
George Chrysanthakopoulos, Warren L. J. Fox, Robert T. Miyamoto, Robert J. Marks II, Mohamed A. El-Sharkawi, Michael Healy
A fuzzy-logic autonomous agent applied as a supervisory controller in a simulated environment. IEEE Trans. Fuzzy Syst. 12 (1) (2004)
Keith E. Williamson, Michael Healy, Richard A. Barker
Industrial Applications of Software Synthesis via Category Theory-Case Studies Using Specware. Autom. Softw. Eng. 8 (1) (2001)
Keith E. Williamson, Michael Healy
Deriving engineering software from requirements. J. Intell. Manuf. 11 (1) (2000)
Michael Healy, Keith E. Williamson
Invited Talk: Applying Category Theory to Derive Engineering Software from Encoded Knowledge. AMAST (2000)
Keith E. Williamson, Michael Healy, Richard A. Barker
Reuse of Knowledge at an Appropriate Level of Abstraction - Case Studies Using Specware. ICSR (2000)
Keith E. Williamson, Michael Healy
Industrial Applications of Software Synthesis via Category Theory. ASE (1999)
Robert J. Streifel, Robert J. Marks II, Russell Reed, Jai J. Choi, Michael Healy
Dynamic fuzzy control of genetic algorithm parameter coding. IEEE Trans. Syst. Man Cybern. Part B 29 (3) (1999)
Keith E. Williamson, Michael Healy
Formally Specifying Engineering Design Rationale. ASE (1997)