162 citations · 163 across the 4 of their papers we have counts for
4 papers
EVE: A Domain-Specific LLM Framework for Earth Intelligence
Àlex R. Atrio, Antonio Lopez, Jino Rohit +6
We introduce Earth Virtual Expert (EVE), the first open-source, end-to-end initiative for developing and deploying domain-specialized LLMs for Earth Intelligence. At its core is EV…
PRIBOOT: A New Data-Driven Expert for Improved Driving Simulations
Daniel Coelho, Miguel Oliveira, Vitor Santos +1
The development of Autonomous Driving (AD) systems in simulated environments like CARLA is crucial for advancing real-world automotive technologies. To drive innovation, CARLA intr…
Self-supervised Domain Adaptation for Computer Vision Tasks
Jiaolong Xu, Liang Xiao, Antonio M. Lopez
Recent progress of self-supervised visual representation learning has achieved remarkable success on many challenging computer vision benchmarks. However, whether these techniques…
Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest
Azadeh S. Mozafari, David Vazquez, Mansour Jamzad +1
Random Forest (RF) is a successful paradigm for learning classifiers due to its ability to learn from large feature spaces and seamlessly integrate multi-class classification, as w…