3 citations · 3 across the 2 of their papers we have counts for
3 papers
eess.IV2024
MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems
Tiago Mota, M. Rita Verdelho, Alceu Bissoto +2
The acquisition of different data modalities can enhance our knowledge and understanding of various diseases, paving the way for a more personalized healthcare. Thus, medicine is p…
cs.AI2022★ 3 cited
Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in Robotics
Mohan Sridharan, Tiago Mota
Algorithms based on deep network models are being used for many pattern recognition and decision-making tasks in robotics and AI. Training these models requires a large labeled dat…
cs.AI2020
Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics
Tiago Mota, Mohan Sridharan
A robot's ability to provide descriptions of its decisions and beliefs promotes effective collaboration with humans. Providing such transparency is particularly challenging in inte…