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A First Approach to Closeness Distributions

Mathematics (Basel), 2021-12, Vol.9 (23), p.3112

Cerquides, Jesus

2021

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Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey

ACM computing surveys, 2024, Vol.56 (7), p.1-40, Article 176

2024

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Tweet-SCAN: An event discovery technique for geo-located tweets

Pattern recognition letters, 2017-07, Vol.93, p.58-68

2017

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Modeling three sources of uncertainty in assisted reproductive technologies with probabilistic graphical models

Computers in biology and medicine, 2022-11, Vol.150, p.106160-106160, Article 106160

2022

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Bayesian Optimization with Additive Kernels for a Stepwise Calibration of Simulation Models for Cost-Effectiveness Analysis

International journal of computational intelligence systems, 2024-09, Vol.17 (1), p.1-12, Article 249

2024

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Enhancing Medical Image Segmentation: Ground Truth Optimization through Evaluating Uncertainty in Expert Annotations

Mathematics (Basel), 2023-09, Vol.11 (17), p.3771

2023

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Sufficient and necessary conditions for solution finding in valuation-based systems

International journal of approximate reasoning, 2019-11, Vol.114, p.51-83

2019

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Mining urban events from the tweet stream through a probabilistic mixture model

Data mining and knowledge discovery, 2018-05, Vol.32 (3), p.764-786

2018

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Personalizing the first dose of FSH for IVF/ICSI patients through machine learning: a non-inferiority study protocol for a multi-center randomized controlled trial

Trials, 2024-01, Vol.25 (1), p.38-38, Article 38

2024

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Design and evaluation of norm-aware agents based on Normative Markov Decision Processes

International journal of approximate reasoning, 2016-11, Vol.78, p.33-61

2016

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On the Convergence of Stochastic Process Convergence Proofs

Mathematics (Basel), 2021-07, Vol.9 (13), p.1470

2021

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Similarity-Based Framework for Unsupervised Domain Adaptation: Peer Reviewing Policy for Pseudo-Labeling

Machine learning and knowledge extraction, 2023-12, Vol.5 (4), p.1474-1492

2023

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A Citizen Science approach for analysing social media with crowdsourcing

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Enriched Music-supported Therapy for chronic stroke patients: a study protocol of a randomised controlled trial

BMC neurology, 2021-01, Vol.21 (1), p.19-16, Article 19

2021

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Solving Highly Cyclic Distributed Optimization Problems Without Busting the Bank: A Decimation-based Approach

Logic journal of the IGPL, 2021-02, Vol.29 (1), p.72-95

2021

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AD3-GLaM: A cooperative distributed QoE-based approach for SVC video streaming over wireless mesh networks

Ad hoc networks, 2018-11, Vol.80, p.1-15

2018

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A Robust Solution to Variational Importance Sampling of Minimum Variance

Entropy (Basel, Switzerland), 2020-12, Vol.22 (12), p.1405

2020

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ALRn: accelerated higher-order logistic regression

Machine learning, 2016, Vol.104 (2-3), p.151-194

2016

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A Left-to-Right Algorithm for Likelihood Estimation in Gamma-Poisson Factor Analysis

Machine Learning and Knowledge Discovery in Databases, p.638-654

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A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data

Mathematics (Basel), 2021-04, Vol.9 (8), p.875

2021

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Constructing a unifying theory of dynamic programming DCOP algorithms via the generalized distributive law

Autonomous agents and multi-agent systems, 2011-05, Vol.22 (3), p.439-464

2011

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Supporting first FSH dosage for ovarian stimulation with machine learning

Reproductive biomedicine online, 2022-11, Vol.45 (5), p.1039-1045

2022

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TAN Classifiers Based on Decomposable Distributions

Machine learning, 2005-06, Vol.59 (3), p.323-354

2005

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IDoser: Improving individualized dosing policies with clinical practice and machine learning

Expert systems with applications, 2024-03, Vol.238, p.121796, Article 121796

2024

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A graphical formalism for mixed multi-unit combinatorial auctions

Autonomous agents and multi-agent systems, 2010-05, Vol.20 (3), p.342-368

2010

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A First Approach to Closeness Distributions

Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey

Tweet-SCAN: An event discovery technique for geo-located tweets

Modeling three sources of uncertainty in assisted reproductive technologies with probabilistic graphical models

Bayesian Optimization with Additive Kernels for a Stepwise Calibration of Simulation Models for Cost-Effectiveness Analysis

Enhancing Medical Image Segmentation: Ground Truth Optimization through Evaluating Uncertainty in Expert Annotations

Sufficient and necessary conditions for solution finding in valuation-based systems

Mining urban events from the tweet stream through a probabilistic mixture model

Personalizing the first dose of FSH for IVF/ICSI patients through machine learning: a non-inferiority study protocol for a multi-center randomized controlled trial

Design and evaluation of norm-aware agents based on Normative Markov Decision Processes

On the Convergence of Stochastic Process Convergence Proofs

Similarity-Based Framework for Unsupervised Domain Adaptation: Peer Reviewing Policy for Pseudo-Labeling

A Citizen Science approach for analysing social media with crowdsourcing

Enriched Music-supported Therapy for chronic stroke patients: a study protocol of a randomised controlled trial

Solving Highly Cyclic Distributed Optimization Problems Without Busting the Bank: A Decimation-based Approach

AD3-GLaM: A cooperative distributed QoE-based approach for SVC video streaming over wireless mesh networks

A Robust Solution to Variational Importance Sampling of Minimum Variance

ALRn: accelerated higher-order logistic regression

A Left-to-Right Algorithm for Likelihood Estimation in Gamma-Poisson Factor Analysis

A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data

Constructing a unifying theory of dynamic programming DCOP algorithms via the generalized distributive law

Supporting first FSH dosage for ovarian stimulation with machine learning

TAN Classifiers Based on Decomposable Distributions

IDoser: Improving individualized dosing policies with clinical practice and machine learning

A graphical formalism for mixed multi-unit combinatorial auctions

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