I am currently a Postdoctoral Researcher in Machine Learning for Genetics at
Centre for Computational Biology team
at
MINES ParisTech
and
Insitut Curie.
I work under the supervision of
Chloé-Agathe Azencott,
Pierre Baduel,
and
Vincent Colot.
Previously, I have been a PhD Student in Machine Learning at
DaSciM team
at
École Polytechnique,
under the supervision of
Jesse Read.
My research interests include:
- Machine Learning in genetics & genomics
- Multi-output prediction
- Missing value imputation
- High-dimensional data
My CV is available here.
I am currently a Postdoctoral Researcher in Machine Learning for Genetics at Centre for Computational Biology team at MINES ParisTech and Insitut Curie. I work under the supervision of Chloé-Agathe Azencott, Pierre Baduel, and Vincent Colot. Previously, I have been a PhD Student in Machine Learning at DaSciM team at École Polytechnique, under the supervision of Jesse Read.
My research interests include:
My CV is available here.
Publications
- Antonenko E., Beigaitė R., Mechenich M., Read J., Žliobaitė I., Backward inference in probabilistic Regressor Chains with distributional constraints. Pre-print.
- Antonenko E., Carreño A., Read J., Autoreplicative Random Forests for missing value imputation. Pre-print.
- Antonenko E., Read J., Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets. ArXiv pre-print.
- Antonenko E., Read J., Multi-Modal Ensembles of Regressor Chains for Multi-Output Prediction. Advances in Intelligent Data Analysis XXI - 21st International Symposium, IDA 2022.
- Ivanenko V., Antonenko E. , Gelfand M., Yager J., Ferrari F., Changes in segmentation and setation along the anterior/posterior axis of the homonomous trunk limbs of a remipede (Crustacea, Arthropoda). PeerJ, August 2016.
Talks and Posters
- July 25, 2023.
[Poster, Video ]
Genotype Imputation with Multi-label Random Forests.
ISMB/ECCB 2023, MLCSB Cosi, Lyon (France).
- May 26, 2023.
[Talk]
Multi-output machine learning with applications to genomics. Institut Imagine, Paris (France).
- March 10, 2023.
[Talk]
Autoreplicative Random Forests for missing value imputation. DaSciM seminar, Ecole Polytechnique, Palaiseau (France).
- February 13, 2023.
[Talk]
Autoreplicative Random Forests for missing value imputation. Group seminar, KU Leuven KULAK, Kortrijk (Belgium).
- November 21-22, 2022.
[Poster]
Genotype Imputation with Multi-label Random Forests. MLCB 2022, virtual.
- September 19, 2022.
[Talk, Best paper award]
Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets. Multi-Label Learning Workshop, current trends and open challenges, ECML PKDD 2022, Grenoble (France).
- April 21, 2022.
[Talk]
Multi-Modal Ensembles of Regressor Chains for Multi-Output Prediction. IDA 2022, Rennes (France).
- November 26, 2021.
[Talk]
Chaining methods and their application to genomic data. DaSciM seminar, Ecole Polytechnique, Palaiseau (France).
Teaching
- Spring, 2023: Teaching assistant. CSE204: Machine Learning at École Polytechnique.
- Spring, 2022: Teaching assistant. CSE204: Machine Learning at École Polytechnique.