AJ

Adán José-García

Adán José-García Researcher in Data Science & Digital Health Université de Lille
65 %
Libre accès
20
Documents
Affiliations actuelles
  • Operational Research, Knowledge And Data (ORKAD)
  • Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL)
  • Institute for Translational Research in Inflammation - U 1286 (INFINITE)
Identifiants chercheurs
Contact

Présentation

I am a Researcher in Data Science at the Department of Computer Science, CRIStAL Lab, University of Lille, France. This is a collaborative project with the Lille University Hospital and INCLUDE. My current project involves developing and applying unsupervised machine learning techniques to classify patients with systemic autoimmune diseases.

Before joining the University of Lille, I was a Research Fellow in Machine Learning at the Department of Computer Science, Institute of Data Science and Artificial Intelligence, University of Exeter, United Kingdom (UK). Before this, I was a Postdoctoral Researcher with the Decision and Cognitive Sciences Research Centre, University of Manchester, UK. I hold M.Sc. and Ph.D. degrees in Computer Science from the Center for Research and Advanced Studies of the National Polytechnic Institute, Cinvestav-IPN, Mexico.

In general, my scientific expertise is focused on investigating cluster analysis methods, also known as unsupervised machine learning in Artificial Intelligence. My research consists in creating and adapting clustering approaches (e.g., multi-view clustering, biclustering) and their applications to different research fields such as digital healthcare, the labour market, and network analysis. My research currently focuses on developing integrative cluster analysis approaches to address healthcare-related data problems and help to understand better disease complications and treatment goals.

Domaines de recherche

Informatique [cs]

Publications

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Publications

Artificial intelligence for precision medicine

Marie-Elise Martel , Adán José-García , Celine Vens , Maarten de Vos , Vincent Sobanski Article dans une revue hal-05470560v1

Exhaustive biclustering driven by self-learning evolutionary approach for biomedical data

Adrián Segura-Ortiz , Adán José-García , Laetitia Jourdan , José García-Nieto

Computer Methods and Programs in Biomedicine, 2025, 269, pp.108846. ⟨10.1016/j.cmpb.2025.108846⟩

Article dans une revue hal-05093058v1
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Metaheuristic Biclustering Algorithms: From State-of-the-Art to Future Opportunities

Adán José-García , Julie Jacques , Vincent Sobanski , Clarisse Dhaenens

ACM Computing Surveys, 2023, 53 (3), pp.1-38. ⟨10.1145/3617590⟩

Article dans une revue hal-04205406v2
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CVIK: A Matlab-based cluster validity index toolbox for automatic data clustering

Adán José-García , Wilfrido Gómez-Flores

SoftwareX, 2023, 22, pp.101359. ⟨10.1016/j.softx.2023.101359⟩

Article dans une revue hal-04205416v1

What’s in a distance? Exploring the interplay between distance measures and internal cluster validity in multi-objective clustering

Adán José-García , Julia Handl

Natural Computing, 2022, ⟨10.1007/s11047-022-09909-y⟩

Article dans une revue hal-03790513v1
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C3-IoC: A career guidance system for assessing student skills using machine learning and network visualisation

Adán José-García , Alison Sneyd , Ana Melro , Anaïs Ollagnier , Georgina Tarling et al.

International Journal of Artificial Intelligence in Education, 2022, ⟨10.1007/s40593-022-00317-y⟩

Article dans une revue hal-03840342v1
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Evolutionary Multi-objective Clustering Over Multiple Conflicting Data Views

Mario Garza-Fabre , Julia Handl , Adán José-García

IEEE Transactions on Evolutionary Computation, 2022, 27 (4), pp.817 - 831. ⟨10.1109/TEVC.2022.3220187⟩

Article dans une revue hal-03843387v2

An evolutionary many-objective approach to multiview clustering using feature and relational data

Adán José-García , Julia Handl , Wilfrido Gómez-Flores , Mario Garza-Fabre

Applied Soft Computing, 2021, 108, pp.107425. ⟨10.1016/j.asoc.2021.107425⟩

Article dans une revue hal-03217644v1

Detection of Fiber Defects Using Keypoints and Deep Learning

Dirk Siegmund , Biying Fu , Adán José-García , Ahmad Salahuddin , Arjan Kuijper

International Journal of Pattern Recognition and Artificial Intelligence, 2020, ⟨10.1142/S0218001421500166⟩

Article dans une revue hal-03217647v1

Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature

Absalom Ezugwu , Amit Shukla , Moyinoluwa Agbaje , Olaide Oyelade , Adán José-García et al.

Neural Computing and Applications, 2020, ⟨10.1007/s00521-020-05395-4⟩

Article dans une revue hal-03217646v1

Automatic clustering using nature-inspired metaheuristics: A survey

Adán José-García , Wilfrido Gómez-Flores

Applied Soft Computing, 2016, 41, pp.192-213. ⟨10.1016/j.asoc.2015.12.001⟩

Article dans une revue hal-03217643v1

Rule-based approach for topic maps learning from relational databases

A. Jose-Garcia , I. Lopez-Arevalo , V. Sosa-Sosa

Expert Systems, 2015, 32 (5), pp.609-621. ⟨10.1111/exsy.12113⟩

Article dans une revue istex hal-03217645v1
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HBIC: A Biclustering Algorithm for Heterogeneous Datasets

Adán José-García , Julie Jacques , Clément Chauvet , Vincent Sobanski , Clarisse Dhaenens

27th European Conference on Artificial Intelligence, Oct 2024, Santiago de Compostela, Spain. ⟨10.3233/FAIA240851⟩

Communication dans un congrès hal-04919684v1

Multi-view Clustering of Heterogeneous Health Data: Application to Systemic Sclerosis

Adán José-García , Julie Jacques , Alexandre Filiot , Julia Handl , David Launay et al.

Parallel Problem Solving from Nature – PPSN XVII, Sep 2022, Dortmund, Germany. pp.352-367, ⟨10.1007/978-3-031-14721-0_25⟩

Communication dans un congrès hal-03790502v1

On the Interaction Between Distance Functions and Clustering Criteria in Multi-objective Clustering

Adán José-García , Julia Handl

Evolutionary Multi-Criterion Optimization, Mar 2021, Shenzhen, China. pp.504-515, ⟨10.1007/978-3-030-72062-9_40⟩

Communication dans un congrès hal-03271937v1

A survey of cluster validity indices for automatic data clustering using differential evolution

Adán José-García , Wilfrido Gómez-Flores

GECCO '21: Genetic and Evolutionary Computation Conference, Jul 2021, Lille, France. pp.314-322, ⟨10.1145/3449639.3459341⟩

Communication dans un congrès hal-03271939v1

Many-view clustering: an illustration using multiple dissimilarity measures

Adán José-García , Julia Handl , Wilfrido Gómez-Flores , Mario Garza-Fabre

GECCO '19: Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. pp.213-214, ⟨10.1145/3319619.3323365⟩

Communication dans un congrès hal-03271938v1

Evolutionary Clustering Using Multi-prototype Representation and Connectivity Criterion

Adán José-García , Wilfrido Gómez-Flores

Mexican Conference on Pattern Recognition, Jun 2017, Huatulco, Mexico. pp.63-73, ⟨10.1007/978-3-319-59226-8_7⟩

Communication dans un congrès hal-03271940v1

Building topic maps from relational databases

Adan Jose-Garcia , Ivan Lopez-Arevalo , Victor Sosa-Sosa

International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2012), Sep 2012, Mexico City, Mexico. pp.1-6, ⟨10.1109/ICEEE.2012.6421192⟩

Communication dans un congrès hal-03271941v1
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Biclustering Algorithms Based on Metaheuristics: A Review

Adán José-García , Julie Jacques , Vincent Sobanski , Clarisse Dhaenens

Mansour Eddaly; Bassem Jarboui; Patrick Siarry. Metaheuristics for Machine Learning. New Advances and Tools, Springer Nature Singapore, pp.39-71, 2023, Computational Intelligence Methods and Applications, ⟨10.1007/978-981-19-3888-7_2⟩

Chapitre d'ouvrage hal-03790510v1