most citedMachine learning-based identification of Gaia astrometric exoplanet orbits

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2024★ 1 cited

Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multicriteria Decision-Making Approach

Juan F. Pérez-Pérez, Pablo Isaza Gómez, Isis Bonet +3

Climate risk assessment is becoming increasingly important. For organisations, identifying and assessing climate-related risks is challenging, as they can come from multiple source…

astro-ph.EP2024★ 4 cited

Machine learning-based identification of Gaia astrometric exoplanet orbits

Johannes Sahlmann, Pablo Gómez

The third Gaia data release (DR3) contains 170\,000 astrometric orbit solutions of two-body systems located within 500 pc of the Sun. Determining component masses in th…

cs.SD2023

Robust Wake-Up Word Detection by Two-stage Multi-resolution Ensembles

Fernando López, Jordi Luque, Carlos Segura +1

Voice-based interfaces rely on a wake-up word mechanism to initiate communication with devices. However, achieving a robust, energy-efficient, and fast detection remains a challeng…

astro-ph.EP2023

Trajectory Optimisation of a Swarm Orbiting 67P/Churyumov-Gerasimenko Maximising Gravitational Signal

Rasmus Maråk, Emmanuel Blazquez, Pablo Gómez

Proper modelling of the gravitational fields of irregularly shaped asteroids and comets is an essential yet challenging part of any spacecraft visit and flyby to these bodies. Accu…

astro-ph.EP2023★ 2 cited

Investigation of the Robustness of Neural Density Fields

Jonas Schuhmacher, Fabio Gratl, Dario Izzo +1

Recent advances in modeling density distributions, so-called neural density fields, can accurately describe the density distribution of celestial bodies without, e.g., requiring a…