14 citations · 41 across the 13 of their papers we have counts for
15 papers
Testing the Planning Claims of LLM-Based Agents against Formal Semantics
Oriol Miro-Lopez-Feliu, Oscar Miró López-Feliu, Victor Gimenez-Abalos +3
LLM-based agents are increasingly credited with the competences of practical reasoning: planning, monitoring, and correcting their own actions. Their success is attributed to the p…
The Aloe Family Recipe for Open and Specialized Healthcare LLMs
Dario Garcia-Gasulla, Jordi Bayarri-Planas, Ashwin Kumar Gururajan +10
Purpose: With advancements in Large Language Models (LLMs) for healthcare, the need arises for competitive open-source models to protect the public interest. This work contributes…
Explaining Autonomous Vehicles with Intention-aware Policy Graphs
Sara Montese, Victor Gimenez-Abalos, Atia Cortés +2
The potential to improve road safety, reduce human driving error, and promote environmental sustainability have enabled the field of autonomous driving to progress rapidly over rec…
Automatic Evaluation of Healthcare LLMs Beyond Question-Answering
Anna Arias-Duart, Pablo Agustin Martin-Torres, Daniel Hinjos +7
Current Large Language Models (LLMs) benchmarks are often based on open-ended or close-ended QA evaluations, avoiding the requirement of human labor. Close-ended measurements evalu…
Intention-aware policy graphs: answering what, how, and why in opaque agents
Victor Gimenez-Abalos, Sergio Alvarez-Napagao, Adrian Tormos +2
Agents are a special kind of AI-based software in that they interact in complex environments and have increased potential for emergent behaviour. Explaining such emergent behaviour…
Aloe: A Family of Fine-tuned Open Healthcare LLMs
Ashwin Kumar Gururajan, Enrique Lopez-Cuena, Jordi Bayarri-Planas +10
As the capabilities of Large Language Models (LLMs) in healthcare and medicine continue to advance, there is a growing need for competitive open-source models that can safeguard pu…
Exploring the Role of Explainability in AI-Assisted Embryo Selection
Lucia Urcelay, Daniel Hinjos, Pablo A. Martin-Torres +5
In Vitro Fertilization is among the most widespread treatments for infertility. One of its main challenges is the evaluation and selection of embryo for implantation, a process wit…
When & How to Transfer with Transfer Learning
Adrian Tormos, Dario Garcia-Gasulla, Victor Gimenez-Abalos +1
In deep learning, transfer learning (TL) has become the de facto approach when dealing with image related tasks. Visual features learnt for one task have been shown to be reusable…
Healthy Twitter discussions? Time will tell
Dmitry Gnatyshak, Dario Garcia-Gasulla, Sergio Alvarez-Napagao +2
Studying misinformation and how to deal with unhealthy behaviours within online discussions has recently become an important field of research within social studies. With the rapid…
Signs for Ethical AI: A Route Towards Transparency
Dario Garcia-Gasulla, Atia Cortés, Sergio Alvarez-Napagao +1
Today, Artificial Intelligence (AI) has a direct impact on the daily life of billions of people. Being applied to sectors like finance, health, security and advertisement, AI fuels…
Private Sources of Mobility Data Under COVID-19
Raquel Pérez Arnal, David Conesa, Sergio Alvarez-Napagao +4
The COVID-19 pandemic is changing the world in unprecedented and unpredictable ways. Human mobility is at the epicenter of that change, as the greatest facilitator for the spread o…
The Impact of COVID-19 on Flight Networks
Toyotaro Suzumura, Hiroki Kanezashi, Mishal Dholakia +5
As COVID-19 transmissions spread worldwide, governments have announced and enforced travel restrictions to prevent further infections. Such restrictions have a direct effect on the…
What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing
Irene Li, Yixin Li, Tianxiao Li +3
The outbreak of coronavirus disease 2019 (COVID-19) recently has affected human life to a great extent. Besides direct physical and economic threats, the pandemic also indirectly i…
Obstruction level detection of sewer videos using convolutional neural networks
Mario A. Gutierrez-Mondragon, Dario Garcia-Gasulla, Sergio Alvarez-Napagao +2
Worldwide, sewer networks are designed to transport wastewater to a centralized treatment plant to be treated and returned to the environment. This process is critical for the curr…
Towards a Goal-oriented Agent-based Simulation framework for High-Performance Computing
Dmitry Gnatyshak, Luis Oliva-Felipe, Sergio Álvarez-Napagao +4
Currently, agent-based simulation frameworks force the user to choose between simulations involving a large number of agents (at the expense of limited agent reasoning capability)…