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Mathieu Giraud


Mathieu Giraud, directeur de recherche CNRS en informatique au laboratoire CRIStAL (CNRS, Université de Lille, Centrale Lille), conçoit des méthodes algorithmiques pour étudier des séquences au service de projets culturels et de santé.

Il l'équipe d'informatique musicale Algomus sur la modélisation, l'analyse, la visualisation et la génération de partitions vues comme des séquences de notes. Est-ce qu'un ordinateur peut aider à faire comprendre et même à faire apprécier la musique ? Ces travaux en humanités numériques concernent la mélodie, l'harmonie (accords, progressions d'accords, cadences), les rythmes, la texture musicale, pour finalement modéliser la structure et la forme musicale.

Mathieu a mené durant 15 ans des recherches sur l'analyse et la comparaison de séquences d'ADN, notamment dans l'équipe de bioinformatique Bonsai, Il travaille toujours sur des méthodes pour mieux connaître les populations de globules blancs, en particulier pour améliorer les diagnostics et les suivis de leucémie. Il est le responsable technique du consortium VidjilNet au sein d'Inria et s'intéresse à l'éthique des traitements de données médicales.

Mathieu collabore avec des musiciens (artistes, enseignants, grand public...) ainsi qu'avec des cliniciens et des professionels de santé. Il s'inscrit dans une démarche de science ouverte.


Journal articles26 documents

  • Mathieu Giraud, Florent Jacquemard. Weighted Automata Computation of Edit Distances with Consolidations and Fragmentations. Information and Computation, Elsevier, In press, ⟨10.1016/j.ic.2020.104652⟩. ⟨hal-01857267v4⟩
  • Gianluca Micchi, Mark Gotham, Mathieu Giraud. Not All Roads Lead to Rome: Pitch Representation and Model Architecture for Automatic Harmonic Analysis. Transactions of the International Society for Music Information Retrieval (TISMIR), Ubiquity Press, 2020, 3 (1), pp.42-54. ⟨10.5334/tismir.45⟩. ⟨hal-02934374⟩
  • Aurélien Bertiaux, François Gabrielli, Mathieu Giraud, Florence Levé. Associations between music training and the dynamics of writing music by hand. Musicae Scientiae, SAGE Publications, 2020, ⟨10.1177/1029864920972145⟩. ⟨hal-02979816⟩
  • Pierre Allegraud, Louis Bigo, Laurent Feisthauer, Mathieu Giraud, Richard Groult, et al.. Learning Sonata Form Structure on Mozart's String Quartets. Transactions of the International Society for Music Information Retrieval (TISMIR), Ubiquity Press, 2019, 2 (1), pp.82-96. ⟨10.5334/tismir.27⟩. ⟨hal-02366640⟩
  • Monika Brüggemann, Michaela Kotrova, Henrik Knecht, Jack Bartram, Myriam Boudjogrha, et al.. Standardized next-generation sequencing of immunoglobulin and T-cell receptor gene recombinations for MRD marker identification in acute lymphoblastic leukaemia; a EuroClonality-NGS validation study. Leukemia, Nature Publishing Group: Open Access Hybrid Model Option B, 2019, ⟨10.1038/s41375-019-0496-7⟩. ⟨hal-02169053⟩
  • Tatiana Rocher, Mathieu Giraud, Mikaël Salson. Indexing labeled sequences. PeerJ Computer Science, PeerJ, 2018, 4, pp.1-14. ⟨10.7717/peerj-cs.148⟩. ⟨hal-01743104⟩
  • Mikael Salson, Mathieu Giraud, Aurélie Caillault, Nathalie Grardel, Nicolas Duployez, et al.. High-throughput sequencing in acute lymphoblastic leukemia: Follow-up of minimal residual disease and emergence of new clones. Leukemia Research, Elsevier, 2017, 53, pp.1-7. ⟨10.1016/j.leukres.2016.11.009⟩. ⟨hal-01404817⟩
  • Anton W Langerak, Monika Brüggemann, Frédéric Davi, Nikos Darzentas, Jacques J M van Dongen, et al.. High-Throughput Immunogenetics for Clinical and Research Applications in Immunohematology: Potential and Challenges.. Journal of Immunology, Publisher : Baltimore : Williams & Wilkins, c1950-. Latest Publisher : Bethesda, MD : American Association of Immunologists, 2017, pp.1602050. ⟨10.4049/jimmunol.1602050⟩. ⟨hal-01516289⟩
  • Yann Ferret, Aurélie Caillault, Shéhérazade Sebda, Marc Duez, Nathalie Grardel, et al.. Multi-loci diagnosis of acute lymphoblastic leukaemia with high-throughput sequencing and bioinformatics analysis. British Journal of Haematology, Wiley, 2016, 173 (3), pp.413-420. ⟨10.1111/bjh.13981⟩. ⟨hal-01279160⟩
  • Marc Duez, Mathieu Giraud, Ryan Herbert, Tatiana Rocher, Mikael Salson, et al.. Vidjil: A Web Platform for Analysis of High-Throughput Repertoire Sequencing. PLoS ONE, Public Library of Science, 2016, 11 (11), ⟨10.1371/journal.pone.0166126⟩. ⟨hal-01397079⟩
  • Azadeh Saffarian, Mathieu Giraud, Hélène Touzet. Modeling alternate RNA structures in genomic sequences.. Journal of Computational Biology, Mary Ann Liebert, 2015, 22 (3), pp.190-204. ⟨hal-01228130⟩
  • Michaela Kotrova, Katerina Muzikova, Ester Mejstrikova, Michaela Novakova, Violeta Bakardjieva-Mihaylova, et al.. The predictive strength of next-generation sequencing MRD detection for relapse compared with current methods in childhood ALL.. Blood, American Society of Hematology, 2015, 126 (8), pp.1045-7. ⟨10.1182/blood-2015-07-655159⟩. ⟨hal-01241663⟩
  • Lucile Lefèvre, Hanin Omeiri, Ludivine Drougat, Constanze Hantel, Mathieu Giraud, et al.. Combined transcriptome studies identify AFF3 as a mediator of the oncogenic effects of β-catenin in adrenocortical carcinoma. Oncogenesis, Nature Publishing Group: Open Access Journals - Option C, 2015, 4 (7), pp.e161. ⟨10.1038/oncsis.2015.20⟩. ⟨inserm-01182372⟩
  • Mathieu Giraud, Richard Groult, Emmanuel Leguy, Florence Levé. Computational Fugue Analysis. Computer Music Journal, Massachusetts Institute of Technology Press (MIT Press), 2015, 39 (2), pp.77-96. ⟨10.1162/COMJ_a_00300⟩. ⟨hal-01113520⟩
  • Mathieu Giraud, Mikaël Salson, Marc Duez, Céline Villenet, Sabine Quief, et al.. Fast multiclonal clusterization of V(D)J recombinations from high-throughput sequencing. BMC Genomics, BioMed Central, 2014, 15 (1), pp.409. ⟨10.1186/1471-2164-15-409⟩. ⟨hal-01009173⟩
  • Mathieu Giraud, Marc Rigaudière. Algorithmes pour l’analyse de la musique tonale. Revue des Sciences et Technologies de l'Information - Série TSI : Technique et Science Informatiques, Lavoisier, 2014, Informatique musicale, 33 (7-8), pp.567-586. ⟨10.3166/tsi.33.567-586⟩. ⟨hal-01107721⟩
  • Azadeh Saffarian, Mathieu Giraud, Antoine de Monte, Hélène Touzet. RNA Locally Optimal Secondary Structures. Journal of Computational Biology, Mary Ann Liebert, 2012, 19 (10), pp.1120-1133. ⟨10.1089/cmb.2010.0178⟩. ⟨hal-00756249⟩
  • Mathieu Giraud, Mikaël Salson. Les séquenceurs à haut débit. Interstices, INRIA, 2011. ⟨hal-01350176⟩
  • Mathieu Giraud, Jean-Stéphane Varré. Parallel Position Weight Matrices Algorithms. Parallel Computing, Elsevier, 2011, 37, pp.466-478. ⟨10.1016/j.parco.2010.10.001⟩. ⟨hal-00623404⟩
  • Mathieu Giraud. Asymptotic behavior of the numbers of runs and microruns. Information and Computation, Elsevier, 2009, 207 (11), pp.1221-1228. ⟨10.1016/j.ic.2009.02.007⟩. ⟨hal-00438214⟩
  • Pierre Peterlongo, Laurent Noé, Dominique Lavenier, van Hoa Nguyen, Gregory Kucherov, et al.. Optimal neighborhood indexing for protein similarity search. BMC Bioinformatics, BioMed Central, 2008, 9 (534), ⟨10.1186/1471-2105-9-534⟩. ⟨inria-00340510⟩
  • Mathieu Giraud, Philippe Veber, Dominique Lavenier. Path-equivalent developments in acyclic weighted automata. International Journal of Foundations of Computer Science, World Scientific Publishing, 2007, 18 (4), pp.799-812. ⟨10.1142/S012905410700498X⟩. ⟨inria-00271646⟩
  • Nicolas Deroche, Mathieu Giraud. Symbiologik : jouez avec les gènes. Interstices, INRIA, 2006. ⟨hal-01352610⟩
  • Sébastien Tempel, Mathieu Giraud, Dominique Lavenier, Israël-César Lerman, Anne-Sophie Valin, et al.. Domain organization within repeated DNA sequences: application to the study of a family of transposable elements.. Bioinformatics (Oxford, England), Oxford University Press, 2006, 22(16), pp.1948-1954. ⟨hal-00090517⟩
  • Sandrine Pawlicki, Anne-Sophie Valin, Mathieu Giraud, Gilles Georges, Christian Delamarche, et al.. Découverte et analyse de signatures à grande échelle dans les protéines amyloïdes.. Regard sur la biochimie, 2006, pp.1-12. ⟨hal-00456604⟩
  • Pascale Quignon, Mathieu Giraud, Maud Rimbault, Patricia Lavigne, Sandrine Tacher, et al.. The dog and rat olfactory receptor repertoires. Genome Biology, BioMed Central, 2005, 6 (10), pp.R83. ⟨10.1186/gb-2005-6-10-r83⟩. ⟨hal-00107100⟩

Directions of work or proceedings1 document

  • Louis Bigo, Mathieu Giraud, Richard Groult, Florence Levé. Actes des Journées d'Informatique Musicale (JIM 2018), Amiens. Journées d'Informatique Musicale (JIM 2018), May 2018, Amiens, France. 2018. ⟨hal-01790928⟩

Conference papers41 documents

  • Laurent Feisthauer, Louis Bigo, Mathieu Giraud, Florence Levé. Estimating keys and modulations in musical pieces. Sound and Music Computing Conference (SMC 2020), Simone Spagnol; Andrea Valle, Jun 2020, Torino, Italy. ⟨hal-02886399v2⟩
  • Jules Cournut, Louis Bigo, Mathieu Giraud, Nicolas Martin. Encodages de tablatures pour l'analyse de musique pour guitare. Journées d'Informatique Musicale (JIM 2020), 2020, Strasbourg, France. ⟨hal-02934382⟩
  • Laurent Feisthauer, Louis Bigo, Mathieu Giraud. Modeling and learning structural breaks in sonata forms. International Society for Music Information Retrieval Conference (ISMIR 2019), 2019, Delft, Netherlands. ⟨10.5281/zenodo.3527828⟩. ⟨hal-02162936v2⟩
  • Bryan Deliencourt, Mathieu Giraud, Julien Miranda, Stanislas Larnier, Ariane Herbulot, et al.. Génération photo-réaliste de défauts sur des images de surfaces extérieures d'avions acquises par un drone autonome. ORASIS, journées francophones des jeunes chercheurs en vision par ordinateur, May 2019, Saint-Dié-des-Vosges, France. ⟨hal-02164953⟩
  • Ling Ma, Mathieu Giraud, Emmanuel Leguy. Realtime collaborative annotation of music scores with Dezrann. International Symposium on Computer Music Modeling and Retrieval (CMMR 2019), 2019, Marseille, France. ⟨hal-02162935⟩
  • Moreno Andreatta, Gérard Assayag, Myriam Desainte-Catherine, Jean-Louis Giavitto, Mathieu Giraud, et al.. L'informatique musicale : informatique et musique en interdisciplinarité. Journées d'Informatique Musicale (JIM 2019), May 2019, Bayonne, France. ⟨hal-02348292⟩
  • Mathieu Giraud, Richard Groult, Emmanuel Leguy. Dezrann, a Web Framework to Share Music Analysis. International Conference on Technologies for Music Notation and Representation (TENOR 2018), May 2018, Montréal, Canada. pp.104-110. ⟨hal-01796787⟩
  • Louis Bigo, Laurent Feisthauer, Mathieu Giraud, Florence Levé. Relevance of musical features for cadence detection. International Society for Music Information Retrieval Conference (ISMIR 2018), 2018, Paris, France. ⟨hal-01801060⟩
  • Julien Debove, David Durand, Marion Giraud, Mathieu Giraud, Richard Groult, et al.. Les pierres musicales, un dispositif pédagogique interactif. Journées d'Informatique Musicale (JIM 2017), 2017, Paris, France. ⟨hal-01517519⟩
  • Louis Bigo, Mathieu Giraud, Richard Groult, Nicolas Guiomard-Kagan, Florence Levé. Sketching Sonata Form Structure in Selected Classical String Quartets. ISMIR 2017 - International Society for Music Information Retrieval Conference, 2017, Suzhou, China. ⟨hal-01568703⟩
  • Tatiana Rocher, Mathieu Giraud, Mikael Salson. Indexer un ensemble de séquences ADN annotées. JOBIM, Jun 2016, Lyon, France. ⟨hal-01576319⟩
  • Nicolas Guiomard-Kagan, Mathieu Giraud, Richard Groult, Florence Levé. Improving voice separation by better connecting contigs. International Society for Music Information Retrieval Conference (ISMIR 2016), Aug 2016, New York, United States. ⟨hal-01331551⟩
  • Tuan Tu Tran, Mathieu Giraud, Jean-Stéphane Varré. Perfect Hashing Structures for Parallel Similarity Searches. International Workshop on High Performance Computational Biology (HiCOMB 2015) / International Parallel and Distributed Processing Symposium (IPDPS 2015), 2015, Hyderabad, India. pp.332-341, ⟨10.1109/IPDPSW.2015.105⟩. ⟨hal-01153893⟩
  • Guillaume Bagan, Mathieu Giraud, Richard Groult, Emmanuel Leguy. Modélisation et visualisation de schémas d'analyse musicale avec music21. Journées d'Informatique Musicale (JIM 2015), 2015, Montréal, Canada. ⟨hal-01135118⟩
  • Nicolas Guiomard-Kagan, Mathieu Giraud, Richard Groult, Florence Levé. Comparing Voice and Stream Segmentation Algorithms. International Society for Music Information Retrieval Conference (ISMIR 2015), Oct 2015, Malaga, Spain. pp.493-499. ⟨hal-01246693⟩
  • Mathieu Giraud, Sławek Staworko. Modeling Musical Structure with Parametric Grammars. Mathematics and Computation in Music (MCM 2015), Jun 2015, London, United Kingdom. pp.85-96, ⟨10.1007/978-3-319-20603-5_8⟩. ⟨hal-01205422⟩
  • Nathalie Grardel, Mikaël Salson, Aurélie Caillault, Marc Duez, Céline Villenet, et al.. Diagnostic et suivi des leucémies aiguës lymphoblastiques (LAL) par séquençage haut-débit (HTS). Congrès de la Société Française d'Hématologie (SFH), 2014, Paris, France. ⟨hal-01100152⟩
  • Mathieu Giraud, Florence Levé, Florent Mercier, Marc Rigaudière, Donatien Thorez. Towards Modeling Texture in Symbolic Data. International Society for Music Information Retrieval Conference - ISMIR, 2014, Taipei, Taiwan. pp.59-64. ⟨hal-01057017⟩
  • Laurent David, Mathieu Giraud, Richard Groult, Florence Levé, Corentin Louboutin. Vers une analyse automatique des formes sonates. Journées d'Informatique Musicale (JIM 2014), 2014, Bourges, France. pp.113-118. ⟨hal-01009166⟩
  • Azadeh Saffarian, Mathieu Giraud, Hélène Touzet. Searching for alternate RNA structures in genomic sequences. Computational Methods for Structural RNAs, CMSR'14, Sep 2014, Strasbourg, France. pp.13-24, ⟨10.15455/CMSR.2014.0002⟩. ⟨hal-01084319⟩
  • Mathieu Giraud, Mikaël Salson, Marc Duez, Jean-Stéphane Varré, Céline Villenet, et al.. Suivi de la leucémie résiduelle par séquençage haut-débit. JOBIM, Jul 2013, Toulouse, France. ⟨hal-00857581⟩
  • Christina Anagnostopoulou, Mathieu Giraud, Nick Poulakis. Melodic contour representations in the analysis of children's songs. 3rd International Workshop on Folk Music Analysis, Jun 2013, Amsterdam, Netherlands. pp.40-43. ⟨hal-00826427⟩
  • Mathieu Giraud, Ken Déguernel, Emilios Cambouropoulos. Fragmentations with pitch, rhythm and parallelism constraints for variation matching. International Symposium on Computer Music Multidisciplinary Research (CMMR), Oct 2013, Marseille, France. pp.298-312, ⟨10.1007/978-3-319-12976-1_19⟩. ⟨hal-00906462v2⟩
  • Mathieu Giraud, Richard Groult, Florence Levé. Subject and counter-subject detection for analysis of the Well-Tempered Clavier fugues. International Symposium on Computer Music Modelling and Retrieval (CMMR 2012), 2012, United Kingdom. pp.661-673. ⟨hal-00712554⟩
  • Mathieu Giraud, Richard Groult, Florence Levé. Detecting Episodes with Harmonic Sequences for Fugue Analysis. ISMIR - International Society for Music Information Retrieval Conference - 2012, 2012, Porto, Portugal. ⟨hal-00712565⟩
  • Jean-Frédéric Berthelot, Charles Deltel, Mathieu Giraud, Stéphane Janot, Laetitia Jourdan, et al.. biomanycores.org: a repository of interoperable open-source code for many-core bioinformatics. JOBIM 2011, Jul 2011, Paris, France. ⟨hal-00637847⟩
  • Tuan Tu Tran, Mathieu Giraud, Jean-Stéphane Varré. Bit-Parallel Multiple Pattern Matching. Parallel Processing and Applied Mathematics / Parallel Biocomputing Conference (PPAM / PBC 11), 2011, Torun, Poland. ⟨inria-00637227⟩
  • Mathieu Giraud, Stéphane Janot, Jean-Frédéric Berthelot, Charles Deltel, Laetitia Jourdan, et al.. Biomanycores, open-source parallel code for many-core bioinformatics. Bioinformatics Open Source Conference (BOSC 2011), 2011, Vienne, Austria. ⟨inria-00623390⟩
  • Florence Levé, Richard Groult, Guillaume Arnaud, Cyril Séguin, Rémi Gaymay, et al.. Rhythm extraction from polyphonic symbolic music. 12th International Society for Music Information Retrieval Conference (ISMIR 2011), Oct 2011, United States. pp.375-380. ⟨hal-00636058⟩
  • Hideo Bannai, Mathieu Giraud, Kazuhiko Kusano, Wataru Matsubara, Ayumi Shinohara, et al.. The Number of Runs in a Ternary Word. Prague Stringology Conference 2010, Aug 2010, France. pp.178-181. ⟨hal-00533202⟩
  • Peter Steffen, Robert Giegerich, Mathieu Giraud. GPU Parallelization of Algebraic Dynamic Programming. Parallel Processing and Applied Mathematics / Parallel Biocomputing Conference (PPAM / PBC 09), Sep 2009, Wroclaw, Poland. ⟨inria-00438219⟩
  • Mathieu Giraud, Jean-Stéphane Varré. Parallel Position Weight Matrices Algorithms. International Symposium on Parallel and Distributed Computing (ISPDC 2009), Jul 2009, Lisboa, Portugal. pp.65-69, ⟨10.1109/ISPDC.2009.31⟩. ⟨inria-00438215⟩
  • Jean-Stéphane Varré, Stéphane Janot, Mathieu Giraud. Biomanycores, a repository of interoperable open-source code for many-cores bioinformatics. Bioinformatics Open Source Conference (BOSC), Jun 2009, Stockholm, Sweden. ⟨inria-00438224⟩
  • Mathieu Giraud. Not so many runs in strings. 2nd International Conference on Language and Automata Theory and Applications (LATA 2008), Mar 2008, Tarragona, Spain. ⟨inria-00271630⟩
  • Pierre Peterlongo, Laurent Noé, Dominique Lavenier, Gilles Georges, Julien Jacques, et al.. Protein similarity search with subset seeds on a dedicated reconfigurable hardware. Parallel Bio-Computing, Sep 2007, Gdansk,, Poland. ⟨inria-00178325⟩
  • Jean-Eudes Duchesne, Mathieu Giraud, Nadia El-Mabrouk. Seed-Based Exclusion Method for Non-coding RNA Gene Search. 13th Annual International Computing and Combinatorics Conference (COCOON 2007), Jul 2007, Banff, Canada. pp.27-39, ⟨10.1007/978-3-540-73545-8_6⟩. ⟨inria-00271642⟩
  • Dominique Lavenier, Philippe Veber, Mathieu Giraud. Path-Equivalent Removal of Epsilon-Transitions. 2006, pp.23--33, ⟨10.1007/11812128_4⟩. ⟨hal-00107094⟩
  • Mathieu Giraud, Laurent Noé, Gregory Kucherov, Dominique Lavenier. Recherches de motifs et de similarités en bioinformatique : modélisations, solutions logicielles et matérielles. MajecSTIC 2005 : Manifestation des Jeunes Chercheurs francophones dans les domaines des STIC, IRISA – IETR – LTSI, Nov 2005, Rennes/France, pp.18--37. ⟨inria-00001036⟩
  • Sébastien Tempel, Mathieu Giraud, Israël-César Lerman, Ivan Couée, Abdelhak El Amrani, et al.. Organisation modulaire des séquences d'ADN répétées: application à l'étude des hélitrons non-autonomes dans le génome d'Arabidopsis thaliana. XIIIe colloque Eléments Transposables, 2005, Orsay, France. ⟨hal-00015261⟩
  • Ghizlane Bana, Roman Kolpakov, Mathieu Giraud, Ralph Rabbat, Gregory Kucherov. mreps: a program for exhaustive search for tandem repeats in DNA sequences. Sixth Annual International Conference on Research in Computational Biology - RECOMB 2002, Apr 2002, Washington, DC, US. ⟨inria-00100869⟩
  • Mathieu Giraud, Gregory Kucherov. Maximal Repetitions and Application to DNA sequences. Journées Ouvertes : Biologie, Informatique et Mathématiques - JOBIM'2000, 2000, Montpellier/France, pp.165--172. ⟨inria-00107854⟩

Book sections4 documents

  • Mathieu Giraud, Richard Groult, Florence Levé. Computational Analysis of Musical Form. David Meredith. Computational Music Analysis, Springer, pp.113-136, 2016, 978-3-319-25929-1. ⟨10.1007/978-3-319-25931-4_5⟩. ⟨hal-01231201⟩
  • Jean-Stéphane Varré, Bertil Schmidt, Stéphane Janot, Mathieu Giraud. Manycore high-performance computing in bioinformatics. Laura Elnitski, Helen Piontkivska, Lonnie R Welch. Advances in Genomic Sequence Analysis and Pattern Discovery, World Scientific, chapter 8, 2011. ⟨hal-00563408⟩
  • Nadia Pisanti, Mathieu Giraud, Pierre Peterlongo. Filters and seeds approaches for fast homology searches in large datasets. Mourad Elloumi and Albert Y. Zomaya. Algorithms in computational molecular biology, John Wiley & sons, 2010. ⟨inria-00425370⟩
  • Dominique Lavenier, Mathieu Giraud. Bioinformatics Applications. Gokhale, Maya B., Graham, Paul S. Reconfigurable Computing. Accelerating Computation with Field-Programmable Gate Arrays, Springer, 2005, Foundation of computing, 0-387-26105-2. ⟨inria-00000501⟩

Poster communications6 documents

  • Rony Abecidan, Mathieu Giraud, Gianluca Micchi. Towards Custom Dilated Convolutions on Pitch Spaces. International Society for Music Information Retrieval Conference (ISMIR 2020), Late-Breaking Demo Session, 2020, Montréal, Canada. ⟨hal-02959676⟩
  • Laurent Feisthauer, Louis Bigo, Mathieu Giraud, Florence Levé. Modelling Keys and Modulation with Scales and Harmonic Progressions. Digital Music Research Network Workshop (DMRN+14), 2019, London, France. ⟨hal-02392389⟩
  • Laurent Feisthauer, Louis Bigo, Mathieu Giraud, Florence Levé. Vers une recherche automatisée du parcours tonal. Les sciences de la musique, 2019, Paris, France. ⟨hal-01972701⟩
  • Mathieu Giraud. Using Dezrann in Musicology and MIR Research. Digital Libraries for Musicology (DLfM 2018), 2018, Paris, France. ⟨hal-01871713⟩
  • Emmanuel Leguy, Richard Groult, Mathieu Giraud. Une application web interactive pour l'analyse musicale. European Music Analysis Conference (EuroMAC 2017), 2017, Strasbourg, France. 2017. ⟨hal-01517517⟩
  • Nathalie Grardel, Mathieu Giraud, Mikaël Salson, Marc Duez. Multiclonal Diagnosis and MRD Follow-up in ALL with HTS Coupled with a Bioinformatic Analysis. American Society of Hematology Annual Meeting, 2014, San Francisco, France. 2014. ⟨hal-01100290⟩

Other publications4 documents

  • Pierre Allegraud, Véronique Béland, Quentin Denimal, Mathieu Giraud, Richard Groult, et al.. As We Are Blind. Œuvres et Recherches, 2019, pp.2019:01. ⟨hal-02379772⟩
  • Mathieu Giraud, Valkiri Valkiri. Algo-Rythme. Œuvres et Recherches, 2019, pp.2019:05. ⟨hal-02379793⟩
  • Yoel Greenberg, Beate Kutschke, Mathieu Giraud, David Huron. Fixing the Horse before the Cart: Reconstructing the Genesis of Classical Forms through Big Data and Computational Methods. 2018. ⟨hal-01972691⟩
  • Mikael Salson, Aurélie Caillault, Marc Duez, Yann Ferret, Alice Fievet, et al.. A dataset of sequences with manually curated V(D)J designations. 2016. ⟨hal-01331556⟩

Preprints, Working Papers, ...1 document

  • Henry Boisgibault, Mathieu Giraud, Florent Jacquemard. What does the Mongeau-Sankoff algorithm compute?. 2019. ⟨hal-02340896⟩

Habilitation à diriger des recherches1 document

  • Mathieu Giraud. Compter les globules blancs, analyser les partitions. Informatique [cs]. Université de Lille 1 – Sciences et Technologies, 2016. ⟨tel-01577763⟩

Reports1 document

  • Antoine Rousseau, Aurélie Darnaud, Brice Goglin, Céline Acharian, Christine Leininger, et al.. Médiation Scientifique : une facette de nos métiers de la recherche. [Interne] none. 2013, pp.34. ⟨hal-00804915⟩