Jesús Cerquides

Orcid: 0000-0002-3752-644X

According to our database1, Jesús Cerquides authored at least 127 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey.
ACM Comput. Surv., July, 2024

IDoser: Improving individualized dosing policies with clinical practice and machine learning.
Expert Syst. Appl., March, 2024

Manual versus deep learning measurements to evaluate cumulus expansion of bovine oocytes and its relationship with embryo development <i>in vitro</i>.
Comput. Biol. Medicine, January, 2024

2023
Similarity-Based Framework for Unsupervised Domain Adaptation: Peer Reviewing Policy for Pseudo-Labeling.
Mach. Learn. Knowl. Extr., December, 2023

A Citizen Science Approach for Analyzing Social Media With Crowdsourcing.
IEEE Access, 2023

Single or ensemble model ? A study on social media images classification in disaster response.
Proceedings of the 10th Multidisciplinary International Social Networks Conference, 2023

Developing and Validating Tools for the Automated Analysis and Enhancement of Online Discussions.
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Hydranet: A Neural Network for the Estimation of Multi-Valued Treatment Effects.
Proceedings of the Artificial Intelligence Research and Development, 2023

Expert Finding for Citizen Science.
Proceedings of the Artificial Intelligence Research and Development, 2023

Bayesian Optimization with Additive Kernels for the Calibration of Simulation Models to Perform Cost-Effectiveness Analysis.
Proceedings of the Artificial Intelligence Research and Development, 2023

Improving Disaster Response by Combining Automated Text Information Extraction from Images and Text on Social Media.
Proceedings of the Artificial Intelligence Research and Development, 2023

Mathematical and Computational Models for Crowdsourced Geolocation.
Proceedings of the Artificial Intelligence Research and Development, 2023

Enhancing Disaster Response with Automated Text Information Extraction from Social Media Images.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

2022
Optimization Techniques and Formal Verification for the Software Design of Boolean Algebra Based Safety-Critical Systems.
IEEE Trans. Ind. Informatics, 2022

Analyzing social media with crowdsourcing in Crowd4SDG.
CoRR, 2022

Modeling three sources of uncertainty in assisted reproductive technologies with probabilistic graphical models.
Comput. Biol. Medicine, 2022

Ensemble Learning for the Classification of Social Media Data in Disaster Response.
Proceedings of the 19th International Conference on Information Systems for Crisis Response and Management, 2022

Automatic Outdoor Image Geolocation with Focal Modulation Networks.
Proceedings of the Artificial Intelligence Research and Development, 2022

Drake or Hen? Machine Learning for Gender Identification on Twitter.
Proceedings of the Artificial Intelligence Research and Development, 2022

Detecting the Area of Bovine Cumulus Oocyte Complexes Using Deep Learning and Semantic Segmentation.
Proceedings of the Artificial Intelligence Research and Development, 2022

2021
A Computational Approach to Quantify the Benefits of Ridesharing for Policy Makers and Travellers.
IEEE Trans. Intell. Transp. Syst., 2021

Solving Highly Cyclic Distributed Optimization Problems Without Busting the Bank: A Decimation-based Approach.
Log. J. IGPL, 2021

A first approach to closeness distributions.
CoRR, 2021

Parametrization invariant interpretation of priors and posteriors.
CoRR, 2021

Validation on Real Data of an Extended Embryo-Uterine Probabilistic Graphical Model for Embryo Selection.
Proceedings of the Artificial Intelligence Research and Development, 2021

Limits of Conventional Machine Learning Methods to Predict Pregnancy and Multiple Pregnancy After Embryo Transfer.
Proceedings of the Artificial Intelligence Research and Development, 2021

2020
A Robust Solution to Variational Importance Sampling of Minimum Variance.
Entropy, 2020

Predicting Requests in Large-Scale Online P2P Ridesharing.
CoRR, 2020

Dual Stochastic Natural Gradient Descent.
CoRR, 2020

2019
Sufficient and necessary conditions for solution finding in valuation-based systems.
Int. J. Approx. Reason., 2019

Design of an AI Platform to Support Home-Based Self-Training Music Interventions for Chronic Stroke Patients.
Proceedings of the Artificial Intelligence Research and Development, 2019

Convergent Stochastic Almost Natural Gradient Descent.
Proceedings of the Artificial Intelligence Research and Development, 2019

Variational Importance Sampling: Initial Findings.
Proceedings of the Artificial Intelligence Research and Development, 2019

2018
Mining urban events from the tweet stream through a probabilistic mixture model.
Data Min. Knowl. Discov., 2018

Decentralized dynamic task allocation for UAVs with limited communication range.
CoRR, 2018

AD<sup>3</sup>-GLaM: A cooperative distributed QoE-based approach for SVC video streaming over wireless mesh networks.
Ad Hoc Networks, 2018

A Left-to-Right Algorithm for Likelihood Estimation in Gamma-Poisson Factor Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

DeciMaxSum : Décimer pour résoudre des DCOP cycliques plus efficacement.
Proceedings of the Distribution et Décentralisation, 2018

DECIMAXSUM: Using Decimation to Improve Max-Sum on Cyclic DCOPs.
Proceedings of the Artificial Intelligence Research and Development, 2018

A Simulation Tool for Large-Scale Online Ridesharing.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Algorithms for Graph-Constrained Coalition Formation in the Real World.
ACM Trans. Intell. Syst. Technol., 2017

Tweet-SCAN: An event discovery technique for geo-located tweets.
Pattern Recognit. Lett., 2017

Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems.
CoRR, 2017

Coalition structure generation problems: optimization and parallelization of the IDP algorithm in multicore systems.
Concurr. Comput. Pract. Exp., 2017

Combining phylogenetic footprinting with motif models incorporating intra-motif dependencies.
BMC Bioinform., 2017

Unrealistic phylogenetic trees may improve phylogenetic footprinting.
Bioinform., 2017

2016
Active Learning of Object and Body Models with Time Constraints on a Humanoid Robot.
IEEE Trans. Cogn. Dev. Syst., 2016

ALR<sup>n</sup>: accelerated higher-order logistic regression.
Mach. Learn., 2016

Design and evaluation of norm-aware agents based on Normative Markov Decision Processes.
Int. J. Approx. Reason., 2016

Scaling DBSCAN-like Algorithms for Event Detection Systems in Twitter.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

2015
Sufficient and necessary conditions for Dynamic Programming in Valuation-Based Systems.
CoRR, 2015

Conception d'une place de marché pour la vente et la distribution d'énergie dans les smart grids.
Proceedings of the Environnements socio-techniques - JFSMA 15, 2015

Where is my keyboard? Model-based active adaptation of action-space in a humanoid robot.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Parallelisation and Application of AD 3 as a Method for Solving Large Scale Combinatorial Auctions.
Proceedings of the Coordination Models and Languages, 2015

Defining and solving the energy allocation problem with continuous prosumers.
Proceedings of the Artificial Intelligence Research and Development, 2015

Efficient Inter-Team Task Allocation in RoboCup Rescue.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Paving the way for Large-Scale Combinatorial Auctions.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Designing a Marketplace for the Trading and Distribution of Energy in the Smart Grid.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Even more generic solution construction in Valuation-Based Systems.
CoRR, 2014

A Tutorial on Optimization for Multi-Agent Systems.
Comput. J., 2014

Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

MAS-planes: a multi-agent simulation environment to investigate decentralised coordination for teams of UAVs.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Exploiting max-sum for the decentralized assembly of high-valued supply chains.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Anytime coalition structure generation on synergy graphs.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
Alleviating naive Bayes attribute independence assumption by attribute weighting.
J. Mach. Learn. Res., 2013

Bayesian Conditional Gaussian Network Classifiers with Applications to Mass Spectra Classification.
CoRR, 2013

Engineering the Decentralized Coordination of UAVs with Limited Communication Range.
Proceedings of the Advances in Artificial Intelligence, 2013

CHAINME: fast decentralized finding of better supply chains.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Sensory Anticipation of Optical Flow in Mobile Robotics
CoRR, 2012

Context-GMM: Incremental learning of sparse priors for Gaussian mixture regression.
Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012

Incremental learning of an optical flow model for sensorimotor anticipation in a mobile robot.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Speeding Up 2-way Number Partitioning.
Proceedings of the ECAI 2012, 2012

Scalable decentralized supply chain formation through binarized belief propagation.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

A Scalable Message-Passing Algorithm for Supply Chain Formation.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
A Survey on Sensor Networks from a Multiagent Perspective.
Comput. J., 2011

Constructing a unifying theory of dynamic programming DCOP algorithms via the generalized distributive law.
Auton. Agents Multi Agent Syst., 2011

ABC4MAS: Assembling Business Collaborations for MAS.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011

Solving Sequential Mixed Auctions with Integer Programming.
Proceedings of the Advances in Artificial Intelligence, 2011

Quality guarantees for region optimal DCOP algorithms.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Communication-constrained DCOPs: message approximation in GDL with function filtering.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Sequential mixed auctions.
Proceedings of the 13th International Conference on Electronic Commerce, 2011

2010
Composing Supply Chains Through Multiunit Combinatorial Reverse Auctions With Transformability Relationships Among Goods.
IEEE Trans. Syst. Man Cybern. Part A, 2010

A graphical formalism for mixed multi-unit combinatorial auctions.
Auton. Agents Multi Agent Syst., 2010

Worst-case bounds on the quality of max-product fixed-points.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Egalitarian Utilities Divide-and-Coordinate: Stop arguing about decisions, let's share rewards!.
Proceedings of the ECAI 2010, 2010

Divide-and-coordinate: DCOPs by agreement.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009
Empirical Hardness for Mixed Auctions.
Proceedings of the Current Topics in Artificial Intelligence, 2009

Generalizing DPOP: Action-GDL, a new complete algorithm for DCOPs.
Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

A mixed multi-unit combinatorial auctions test suite.
Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2008
A test suite for the evaluation of mixed multi-unit combinatorial auctions.
J. Algorithms, 2008

Enacting agent-based services for automated procurement.
Eng. Appl. Artif. Intell., 2008

Hopfield Networks in Relevance and Redundancy Feature Selection Applied to Classification of Biomedical High-Resolution Micro-CT Images.
Proceedings of the Advances in Data Mining. Medical Applications, 2008

Computationally-efficient winner determination for mixed multi-unit combinatorial auctions.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007
To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators.
IEEE Trans. Knowl. Data Eng., 2007

Mixed multi-unit combinatorial auctions for supply chain management.
SIGecom Exch., 2007

Enabling assisted strategic negotiations in actual-world procurement scenarios.
Electron. Commer. Res., 2007

Bidding Languages and Winner Determination for Mixed Multi-unit Combinatorial Auctions.
Proceedings of the IJCAI 2007, 2007

Completing the Virtual Analogy of Real Institutions via iObjects.
Proceedings of the Artificial Intelligence Research and Development, 2007

On the Empirical Evaluation of Mixed Multi-Unit Combinatorial Auctions.
Proceedings of the Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, 2007

Winner determination for mixed multi-unit combinatorial auctions via petri nets.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Classification of biomedical high-resolution micro-CT images for direct volume rendering.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

2006
Imbalanced Datasets Classification by Fuzzy Rule Extraction and Genetic Algorithms.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles.
Proceedings of the Machine Learning: ECML 2006, 2006

Benefits of Combinatorial Auctions with Transformability Relationships.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

A Method to Classify Data by Fuzzy Rule Extraction from Imbalanced Datasets.
Proceedings of the Artificial Intelligence Research and Development, 2006

Auctioning transformable goods.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Savings in Combinatorial Auctions Through Transformation Relationships.
Proceedings of the Agent-Mediated Electronic Commerce. Automated Negotiation and Strategy Design for Electronic Markets, 2006

2005
TAN Classifiers Based on Decomposable Distributions.
Mach. Learn., 2005

Multi-unit Combinatorial Reverse Auctions with Transformability Relationships Among Goods.
Proceedings of the Internet and Network Economics, First International Workshop, 2005

Robust Bayesian Linear Classifier Ensembles.
Proceedings of the Machine Learning: ECML 2005, 2005

Auctioning Substitutable Goods.
Proceedings of the Artificial Intelligence Research and Development, 2005

Classification Algorithms for Biomedical Volume Datasets.
Proceedings of the Current Topics in Artificial Intelligence, 2005

2004
Maximum a Posteriori Tree Augmented Naive Bayes Classifiers.
Proceedings of the Discovery Science, 7th International Conference, 2004

Towards Automated Procurement via Agent-Aware Negotiation Support.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

iBundler: An Agent-Based Decision Support Service for Combinatorial Negotiations.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Tractable Bayesian Learning of Tree Augmented Naive Bayes Models.
Proceedings of the Machine Learning, 2003

Agent-based decision support for actual-world procurement scenarios.
Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 2003

The Indifferent Naive Bayes Classifier.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

Negotiation Support in Highly-Constrained Trading Scenarios.
Proceedings of the Current Topics in Artificial Intelligence, 2003

2002
<i>Quotes</i>: A Negotiation Tool for Industrial E-Procurement.
Proceedings of the ICEIS 2002, 2002

1999
Applying General Bayesian Techniques to Improve TAN Induction.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

1998
Comparing Information-Theoretic Attribute Selection Measures: A Statistical Approach.
AI Commun., 1998

Knowledge Discovery with Qualitative Influences and Synergies.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

A New Approach to Rule Interest Measures.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

A First Analysis of Qualitative Influences and Synergies.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
Proposal and Empirical Comparison of a Parallelizable Distance-Based Discretization Method.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997


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