If you have any questions, please visit our FAQ

Search
Patricia CONDE-CESPEDES

Patricia CONDE-CESPEDES

Associate Professor, PhD

Patricia Conde Céspedes is an Associate Professor at Isep and a member of the DaSSIP team within the LISITE laboratory, where she supervises PhD theses in Artificial Intelligence. Her teaching activities focus on data science-related subjects, such as machine learning, probability and statistics, and algorithms. She has supervised student projects from prestigious universities, including Stanford University.

Previously, she was a postdoctoral researcher at L2TI, University Paris 13. In 2013, she defended her PhD on graph clustering/community detection at Sorbonne University, Pierre and Marie Curie campus. Before her PhD, she earned a Master’s degree in Statistics and a Bachelor’s degree in Industrial Engineering.

She has participated in big data analytics projects such as REQUEST and POLLEN. In her native country, Bolivia, she received the Guido Capra Jemio Award as the top student of her class. She also received French government scholarships twice to pursue her Master’s and PhD studies.

01 49 54 52 41
patricia.conde-cespedes@isep.fr

Search interests:

> Graph Clustering
> Community Detection
> Modularity Quality Functions
> Modularity
- Relational Mathematical Analysis
- Graphs and Networks
- Louvain Generic Algorithm

Teaching:

> Head of the Data Intelligence and Business Intelligence Programs
> Statistiques and probability and data science fundamentals (lectures and tutorial courses).
> Data mining and machine learning (lectures and tutorial courses).
> Data analysis (tutorial courses).
> Algorithmic and programming with JAVA, (tutorial courses).
> Project-based learning (lectures).

Journals:

  • G. Lachaud, P. Conde-Cespedes and M. Trocan: "Mathematical Expressiveness of Graph Neural Networks" . Mathematics 2022, 10, 4770.
  • G. Lachaud, P. Conde-Cespedes and M. Trocan (2022): "Graph Neural Networks-based Multilabel Classification of a Citation Network". In: Nguyen, N.T., Tran, T.K., Tukayev, U., Hong, TP., Trawiński, B., Szczerbicki, E. (eds) Intelligent Information and Database Systems. ACIIDS 2022. Lecture Notes in Computer Science(), vol 13758. Springer, Cham.
  • G. Lachaud, P. Conde-Cespedes and M. Trocan: Comparison between Inductive and Transductive Learning in a Real Citation Network using Graph Neural Networks To appear in IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2022.
  • G. Lachaud, P. Conde-Cespedes and M. Trocan: Patch selection for melanoma classification In Computational collective intelligence - 14th international conference, ICCCI 2022, hammamet, tunisia, september 28-30, 2022, proceedings Lecture notes in computer science., N. T. Nguyen, Y. Manolopoulos, R. Chbeir, A. Kozierkiewicz, and B. Trawinski, eds. (Springer), pp. 148–159.
  • G. Lachaud, P. Conde-Cespedes and M. Trocan, M. "Entropy role on patch-based binary classification for skin melanoma". In Advances in computational collective intelligence - 13th international conference, ICCCI 2021, kallithea, rhodes, greece, september 29 - october 1, 2021, proceedings Communications in computer and information science., K. Wojtkiewicz, J. Treur, E. Pimenidis, and M. Maleszka, eds. (Springer), pp. 324–333.
  • P. Conde-Céspedes "Approaching the Optimal Solution of the Maximal α-quasi-clique Local Community Problem" , Electronics 2020, 9, 1438.
  • D. Grosz and P. Conde-Cespedes: "Automatic Detection of Sexist StatementsCommonly Used at the Workplace” , In workshop LDRC in Pacific-Asia Conference on KnowledgeDiscovery and Data Mining (PAKDD), Singapur, May 2020
  • P. Conde-Céspedes " "Community Detection of High Density: An Upper Bound for the Optimal Solution." , Sens. Transducers 2019, 234, 37–43.
  • A. Kadaikar, Y. Pan, Q. Zhang, P. Conde-Cespedes, M. Trocan, F. Amiel and B. Guinot, Variable Complexity Neural Networks Comparison for Pollen Classification , in International Journal of Biology and Biomedical Engineering, Naun, 2019. 
  • A. Kadaikar, Benjamin Guinot, M. Trocan, F. Amiel, P. Conde-Cespedes et al.  "Automatic Pollen Grains Counter" , in BioSMART'2019, IEEE, 2019.
  • A. Kadaikar, M. Trocan, F. Amiel, P. Conde-Cespedes, "Sharp images detection for microscope pollen slides observation" , in ACIIDS'2019, Springer, 2019.
  • P. Conde-Cespedes, J. Chavando et Eliza Deberry, "Detection of suspicious accounts in Twitter", Multimedia and Network Information Systems - Proceedings of the 11th International Conference (MISSI) Wroclaw, Poland, 12-14 September 2018, pages 362--371.
  • P. Conde-Céspedes, B. Ngonmang and E. Viennet, "An efficient method for mining the maximal α-quasi-clique-community of a given node in complex networks", Social Network Analysis and Mining, December 2018, 8:20.
  • P. Conde-Céspedes, F. Marcotorchino and E. Viennet, "Comparison of linear modularization criteria using the relational formalism, an approach to easily identify resolution limit", AKDM6, "Advances in Knowledge Discovery and Management", pp. 101-120, 2017.
  • P. Conde-Céspedes, B. Ngonmang and E. Viennet, "Approximation of the Maximal α-Consensus Local Community detection problem in Complex Networks". In IEEE SITIS 2015, International Workshop on Complex Networks and their Applications, Bangkok, Thailand, November 2015.
  • P. Conde-Céspedes, F. Marcotorchino and E. Viennet, "Comparison of linear modularization criteria using the relational formalism, an approach to easily identify resolution limit". Proceedings of 15th Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC'15), Luxembourg, January 2015.
  • F. Marcotorchino and P. Conde-Céspedes, "Optimal transport and minimal trade problem, impacts on relational metrics and applications to large graphs and networks modularity". In F. Nielsen and F. Barbaresco, editors, Proc. First International Conference, Geometric Science of Information, numéro 1, pages 169–179, Paris, France, 2013. Springer-Verlag.
  • P. Conde-Céspedes and F. Marcotorchino, "Comparison of different modularization criteria using relational metric" ,In F. Nielsen and F. Barbaresco, editors, Proc. First International Conference, Geometric Science of Information, numéro 1, pages 180–187, Paris, France, 2013. Springer-Verlag.
  • P. Conde-Céspedes and F. Marcotorchino, "Modularisation et Recherche de Communautés dans les réseaux complexes par Unification Relationnelle" , Revue des Nouvelles Technologies de l’Information (RNTI-A6), pages 71–97, June 2012.
  • G. Louaha, P. Conde-Céspedes, D. Daucher, B. Jourdain and F. Bosc, "Traffic Operations at an Entrance Ramp of a Suburban Freeway First Results" , 6th ISHC Conference, Stockholm (Sweden), June 27-29 2011.

Useful links