Nuria Gómez-Vargas

Nuria Gómez-Vargas
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Nuria verified their affiliation via an institutional email.
University of Seville | US

About

6
Publications
2,333
Reads
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15
Citations
Introduction
Currently working in the intersection of Machine Learning and Operations Research for Decision Making under Uncertainty
Additional affiliations
September 2021 - present
University of Seville
Position
  • PhD Student
January 2021 - June 2021
Spanish National Research Council
Position
  • Research Grant (JAE Intro ICU)
Description
  • Development of artificial intelligence (AI) techniques for the identification of rays & other fish individuals.

Publications

Publications (6)
Preprint
Full-text available
In this paper we address Contextual Multiobjective Inverse problems, a class of context-dependent optimization problems where limited information is available about their multiple objectives. These objectives are inferred from a training set comprising context-decision pairs. For each context, it is assumed that the corresponding decision is the on...
Preprint
Full-text available
Robust Optimization (RO) provides a framework for making resilient decisions by constructing uncertainty sets for the parameters of an optimization problem. When the available parameter information is a simple random sample, uncertainty sets are constructed to ensure a high probability of coverage. However, many decision problems involve uncertain...
Preprint
Full-text available
In real-world decision problems, the parameters that model either the objective function to be optimized (e.g., maximize profit) or the constraints (e.g., capacity) are usually subject to uncertainty. In Robust Optimization, a collection of problems with a common structure is considered, the parameters of the model are assumed to belong to a given...
Preprint
Full-text available
In this paper, we introduce a novel predict-and-optimize method for profit-driven churn prevention. We frame the task of targeting customers for a retention campaign as a regret minimization problem. The main objective is to leverage individual customer lifetime values (CLVs) to ensure that only the most valuable customers are targeted. In contrast...
Article
Full-text available
Individual re-identification is critical to track population changes in order to assess status, being particularly relevant in species with conservation concerns and difficult access like marine organisms. For this, we propose photo-identification via deep learning as a non-invasive technique to discriminate between individuals of the undulate skat...
Preprint
Full-text available
Predict-and-optimize models address Operational Research problems with uncertain parameters by using state of the art Machine Learning models to predict such parameters, the prediction being embedded in the decision-making problem. In this paper we propose a new neural-networks-based Predict-and-optimize model, which trades off accuracy with explai...

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