A5035623818- Anomaly Detection Techniques and Applications
- Smart Grid Energy Management
- Data Management and Algorithms
- Auction Theory and Applications
- Bayesian Modeling and Causal Inference
- Rough Sets and Fuzzy Logic
- Health Policy Implementation Science
- COVID-19 diagnosis using AI
- Data Visualization and Analytics
- Data Mining Algorithms and Applications
- Data Stream Mining Techniques
- Cell Image Analysis Techniques
- Video Analysis and Summarization
- Neural Networks and Applications
- Transportation and Mobility Innovations
- Electric Power System Optimization
- Machine Learning and Data Classification
- Human Pose and Action Recognition
- Advanced Database Systems and Queries
- Video Surveillance and Tracking Methods
- Statistical Methods in Clinical Trials
- Health Systems, Economic Evaluations, Quality of Life
- Time Series Analysis and Forecasting
National Institute of Astrophysics, Optics and Electronics
2015-2022
Universidad Politécnica de Madrid
2017
University of Sheffield
2017
Center for Scientific Research and Higher Education at Ensenada
2008-2009
Markov influence diagrams (MIDs) are a new type of probabilistic graphical model that extends in the same way decision trees extend trees. They have been designed to build state-transition models, mainly medicine, and perform cost-effectiveness analyses. Using causal graph may contain several variables per cycle, MIDs can various patient characteristics without multiplying number states; particular, they represent history using tunnel states. OpenMarkov, an open-source tool, allows analyst...
Abstract. Turning a city into smart has attracted considerable attention. A can be seen as that uses digital technology not only to improve the quality of people’s life, but also, have positive impact in environment and, at same time, offer efficient and easy-to-use services. fundamental aspect considered is safety welfare, therefore, having good security system becomes necessity, because it allows us detect identify potential risk situations, then take appropriate decisions help people or...
Energy demand is increasing ubiquitously, and as cities grow larger they become more industrialized connected. Therefore new energy solutions that take advantage of today's smart capabilities (like intelligent infrastructure, sensors, actuators citizen engagement) should be deployed. This work studies some aspects the markets part solution to efficient procurement management in cities. Specifically, we present COLD Power, an autonomous broker agent which understands three types local...
Abstract. Nowadays with the emergence of smart cities and creation new sensors capable to connect network, it is not only possible monitor entire infrastructure a city, including roads, bridges, rail/subways, airports, communications, water, power, but also optimize its resources, plan preventive maintenance security aspects while maximizing services for citizens. In particular, aspect one most important issues due need ensure safety people. However, if we want have good system, necessary...
As a safety-critical application, automated driving aims to provide autonomy and safe navigation. Although recent advances in perception algorithms based on deep learning have boosted the progress such field, state of art depends availability large datasets. Thus, most visual analysis this context is related detection classification previously known classes. However, dynamic environments with complex interactions among traffic elements can lead unpredictable anomalous situations that are not...