Amiel Meiseles

According to our database, Amiel Meiseles authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

Iterative Feature eXclusion (IFX): Mitigating feature starvation in gradient boosted decision trees.

Amiel Meiseles, Lior Rokach

Knowl. Based Syst., 2024

2023

Vulnerability of pangolin SARS-CoV-2 lineage assignment to adversarial attack.

Amiel Meiseles, Yair Motro, Lior Rokach, Jacob Moran-Gilad

Artif. Intell. Medicine, December, 2023

2022

Latent SHAP: Toward Practical Human-Interpretable Explanations.

Ron Bitton, Alon Malach, Amiel Meiseles, Satoru Momiyama, Toshinori Araki, Jun Furukawa, Yuval Elovici, Asaf Shabtai

CoRR, 2022

Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests.

Amiel Meiseles, Denis Paley, Mira Ziv, Yarin Hadid, Lior Rokach, Tamar Tadmor

Comput. Biol. Medicine, 2022

2020

Source Model Selection for Deep Learning in the Time Series Domain.

Amiel Meiseles, Lior Rokach

IEEE Access, 2020

Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data.

Amiel Meiseles, Ishai Rosenberg, Yair Motro, Lior Rokach, Jacob Moran-Gilad

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020