ML-EDM
ml_edm package: a Python toolkit for Machine Learning based Early Decision Making
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Pymlfs
New open source python package that implements classic machine learning models from scratch for educational purposes.
publications
Early classification of time series: Cost-based optimization criterion and algorithms
Published in Machine Learning, 2021
Recommended citation: Achenchabe, Y., Bondu, A., Cornuéjols, A., & Dachraoui, A. (2021). Early classification of time series: Cost-based optimization criterion and algorithms. Machine Learning, 110(6), 1481-1504. https://link.springer.com/article/10.1007/s10994-021-05974-z
Early and Revocable Time Series Classification
Published in IEEE WCCI-IJCNN, International Joint Conference on Neural Networks, 2021
Recommended citation: Achenchabe, Y., Bondu, A., Cornuéjols, A., & Lemaire, V. (2022, July). Early and revocable time series classification. In 2022 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. https://ieeexplore.ieee.org/document/9892391
Early classification of time series: Cost-based multiclass algorithms
Published in IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2021
Recommended citation: Zafar, P. E., Achenchabe, Y., Bondu, A., Cornuéjols, A., & Lemaire, V. (2021, October). Early classification of time series: Cost-based multiclass algorithms. In 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA) (pp. 1-10). IEEE. https://ieeexplore.ieee.org/abstract/document/9564134
When to Classify Events in Open Times Series?
Published in In Asian Conference on Machine Learning, 2022
Recommended citation: Achenchabe, Y., Bondu, A., Antoine, C., & Vincent, L. (2023, April). When to Classify Events in Open Times Series?. In Asian Conference on Machine Learning (pp. 1-16). PMLR. https://proceedings.mlr.press/v189/achenchabe23a/achenchabe23a.pdf
From the early classification of time series to machine learning-based early decision-making
Published in Theses, 2022
Recommended citation: Achenchabe, Y. (2022). From the early classification of time series to machine learning-based early decision-making (Doctoral dissertation, Université Paris-Saclay). https://shorturl.at/dtHZ0
Open challenges for Machine Learning based Early Decision-Making research
Published in ACM SIGKDD, 2022
Recommended citation: Bondu, A., Achenchabe, Y., Bifet, A., Clérot, F., Cornuéjols, A., Gama, J., ... & Marteau, P. F. (2022). Open challenges for machine learning based early decision-making research. ACM SIGKDD Explorations Newsletter, 24(2), 12-31. https://dl.acm.org/doi/abs/10.1145/3575637.3575643
SANGEA: Scalable and Attributed Network Generation
Published in In Asian Conference on Machine Learning, 2023
Recommended citation: Lemaire, V., Achenchabe, Y., Ody, L., Souid, H. E., Aversano, G., Posocco, N., & Skhiri, S. (2024, February). SANGEA: Scalable and Attributed Network Generation. In Asian Conference on Machine Learning (pp. 678-693). PMLR. https://proceedings.mlr.press/v222/lemaire24a/lemaire24a.pdf
Temporal Graph Generative Models: An empirical study
Published in EuroMLSys 24: Proceedings of the 4th Workshop on Machine Learning and Systems, 2024
Recommended citation: Souid, H. E., Ody, L., Achenchabe, Y., Lemaire, V., Aversano, G., & Skhiri, S. (2024, April). Temporal Graph Generative Models: An empirical study. In Proceedings of the 4th Workshop on Machine Learning and Systems (pp. 18-27). https://dl.acm.org/doi/abs/10.1145/3642970.3655829
ml_edm package: a Python toolkit for Machine Learning based Early Decision Making
Published in Preprint, 2024
Recommended citation: Renault, A., Achenchabe, Y., Bertrand, É., Bondu, A., Cornuéjols, A., Lemaire, V., & Dachraoui, A. (2024). ml_edm package: a Python toolkit for Machine Learning based Early Decision Making. arXiv preprint arXiv:2408.12925. https://arxiv.org/pdf/2408.12925
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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