Frank Meyer

According to our database, Frank Meyer authored at least 29 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Overcoming Real-World IoT Deployment Challenges with Enhanced Fuzzy Logic Decision Algorithms.

Amir Bannoura, Hamid Chekenbah, Frank Meyer, Suhail Odeh, Rafik Lasri

J. Netw. Syst. Manag., October, 2024

2022

Simulating Self-Avoiding Isometric Plate Bending.

Sören Bartels, Frank Meyer, Christian Palus

SIAM J. Sci. Comput., 2022

2021

A Review on Dimensionality Reduction for Multi-Label Classification.

Wissam Siblini, Pascale Kuntz, Frank Meyer

IEEE Trans. Knowl. Data Eng., 2021

Multi-Label kNN classifier with Online Dual Memory on data stream.

Xihui Wang, Pascale Kuntz, Frank Meyer, Vincent Lemaire

Proceedings of the 2021 International Conference on Data Mining, 2021

Exploration des mémoires à court et long terme pour la classification multi-labels en flux.

Xihui Wang, Pascale Kuntz, Frank Meyer

Proceedings of the Extraction et Gestion des Connaissances, 2021

2019

Unsupervised and weakly supervised approaches for answer selection tasks with scarce annotations.

Emmanuel Vallée, Delphine Charlet, Francesca Galassi, Gabriel Marzinotto, Fabrice Clérot, Frank Meyer

Open Comput. Sci., 2019

How to Deal with Scarce Annotations in Answer Selection.

Emmanuel Vallée, Delphine Charlet, Gabriel Marzinotto, Fabrice Clérot, Frank Meyer

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

A Count-sketch to Reduce Memory Consumption when Training a Model with Gradient Descent.

Wissam Siblini, Frank Meyer, Pascale Kuntz

Proceedings of the International Joint Conference on Neural Networks, 2019

CRAFTML, une forêt aléatoire efficace pour l'apprentissage multi-label extrême.

Wissam Siblini, Frank Meyer, Pascale Kuntz

Proceedings of the Extraction et Gestion des connaissances, 2019

2018

VIPE: A new interactive classification framework for large sets of short texts - application to opinion mining.

Wissam Siblini, Frank Meyer, Pascale Kuntz

CoRR, 2018

CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning.

Wissam Siblini, Frank Meyer, Pascale Kuntz

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Daten wie Sand am Meer - Datenerhebung, -strukturierung, -management und Data Provenance für die Ostseeforschung.

Ilvio Bruder, Meike Klettke, Mark Lukas Möller, Frank Meyer, Andreas Heuer, Susanne Jürgensmann, Susanne Feistel

Datenbank-Spektrum, 2017

Combining Dimensionality Reduction with Random Forests for Multi-label Classification Under Interactivity Constraints.

Noureddine Yassine Nair Benrekia, Pascale Kuntz, Frank Meyer

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Supervised Feature Space Reduction for Multi-Label Nearest Neighbors.

Wissam Siblini, Réda Alami, Frank Meyer, Pascale Kuntz

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

VIPE : un outil interactif de classification multilabel de messages courts.

Frank Meyer, Sylvie Tricot, Pascale Kuntz, Wissam Siblini

Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

2016

Neato Robotics® Robots as a Robust Mobile Base for Modular HRI Research.

Lilia Moshkina, Frank Meyer

Proceedings of the 2016 AAAI Spring Symposia, 2016

2015

Learning from multi-label data with interactivity constraints: An extensive experimental study.

Noureddine Yassine Nair Benrekia, Pascale Kuntz, Frank Meyer

Expert Syst. Appl., 2015

2014

Sélection d'une méthode de classification multi-label pour un système interactif.

Noureddine Yacine Nair Benrekia, Pascale Kuntz, Frank Meyer

Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

2013

Selecting a Multi-Label Classification Method for an Interactive System.

Noureddine Yassine Nair Benrekia, Pascale Kuntz, Frank Meyer

Proceedings of the Data Science, 2013

2012

Systèmes de recommandation dans des contextes industriels. (Recommender systems in industrial contexts).

Frank Meyer

PhD thesis, 2012

Recommender systems in industrial contexts

Frank Meyer

CoRR, 2012

Toward a New Protocol to Evaluate Recommender Systems.

Frank Meyer, Françoise Fessant, Fabrice Clérot, Éric Gaussier

Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, 2012

2011

Reperio: A Generic and Flexible Industrial Recommender System.

Frank Meyer, Françoise Fessant

Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

Apport des données thématiques dans les systèmes de recommandation : hybridation et démarrage à froid.

Frank Meyer, Éric Gaussier, Fabrice Clérot, Julien Schluth

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2008

Designing Specific Weighted Similarity Measures to Improve Collaborative Filtering Systems.

Laurent Candillier, Frank Meyer, Françoise Fessant

Proceedings of the Advances in Data Mining. Medical Applications, 2008

2007

Comparing State-of-the-Art Collaborative Filtering Systems.

Laurent Candillier, Frank Meyer, Marc Boullé

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

2006

Exploration des paramètres discriminants pour les représentations vectorielles de la sémantique des mots.

Frank Meyer, Vincent Dubois

Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Arbres de Décision Multi-Modes et Multi-Cibles.

Frank Meyer, Fabrice Clérot

Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Berechnung von Komplexitätsmetriken für ereignisgesteuerte Prozessketten.

Volker Gruhn, Ralf Laue, Frank Meyer

Proceedings of the 5. Workshop der Gesellschaft für Informatik e.V. (GI) und Treffen ihres Arbeitskreises "Geschäftsprozessmanagement mit Ereignisgesteuerten Prozessketten (WI-EPK)", Wien, 30. November, 2006