Marc Roig Vilamala

According to our database, Marc Roig Vilamala authored at least 14 papers between 2019 and 2025.

Collaborative distances:

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

2025

Understanding Human-Machine Team Communication from an Explainable-AI Perspective.

Marc Roig Vilamala, Jack Furby, Julian de Gortari Briseno, Mani Srivastava, Alun D. Preece, Carolina Fuentes

Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication, 2025

2024

Analysing Explanation-Related Interactions in Collaborative Perception-Cognition-Communication-Action.

Marc Roig Vilamala, Jack Furby, Julian de Gortari Briseno, Mani Srivastava, Alun D. Preece, Carolina Fuentes Toro

CoRR, 2024

TeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action.

Julian de Gortari Briseno, Roko Parac, Leo Ardon, Marc Roig Vilamala, Daniel Furelos-Blanco, Lance M. Kaplan, Vinod K. Mishra, Federico Cerutti, Alun D. Preece, Alessandra Russo, Mani Srivastava

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings.

Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti

Expert Syst. Appl., April, 2023

Knowledge from Uncertainty in Evidential Deep Learning.

Cai Davies, Marc Roig Vilamala, Alun D. Preece, Federico Cerutti, Lance M. Kaplan, Supriyo Chakraborty

CoRR, 2023

Visualizing Logic Explanations for Social Media Moderation.

Marc Roig Vilamala, Dave Braines, Federico Cerutti, Alun D. Preece

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Combining neural networks with symbolic approaches to perform complex event processing on non-symbolic data.

Marc Roig Vilamala

PhD thesis, 2022

2021

Using DeepProbLog to perform Complex Event Processing on an Audio Stream.

Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti

CoRR, 2021

2020

An Experimentation Platform for Explainable Coalition Situational Understanding.

Katie Barrett-Powell, Jack Furby, Liam Hiley, Marc Roig Vilamala, Harrison Taylor, Federico Cerutti, Alun D. Preece, Tianwei Xing, Luis Garcia, Mani B. Srivastava, Dave Braines

CoRR, 2020

Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams.

Dave Braines, Federico Cerutti, Marc Roig Vilamala, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Gavin Pearson

CoRR, 2020

A Hybrid Neuro-Symbolic Approach for Complex Event Processing.

Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti

CoRR, 2020

Neuroplex: learning to detect complex events in sensor networks through knowledge injection.

Tianwei Xing, Luis Garcia, Marc Roig Vilamala, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

2019

DeepCEP: Deep Complex Event Processing Using Distributed Multimodal Information.

Tianwei Xing, Marc Roig Vilamala, Luis Garcia, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava

Proceedings of the IEEE International Conference on Smart Computing, 2019

A Pilot Study on Detecting Violence in Videos Fusing Proxy Models.

Marc Roig Vilamala, Liam Hiley, Yulia Hicks, Alun D. Preece, Federico Cerutti

Proceedings of the 22th International Conference on Information Fusion, 2019