Magda Amiridi

According to our database, Magda Amiridi authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

Enrollment Rate Prediction in Clinical Trials based on CDF Sketching and Tensor Factorization tools.

Magda Amiridi, Cheng Qian, Nicholas D. Sidiropoulos, Lucas M. Glass

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Low-Rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation.

Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos

IEEE Trans. Signal Process., 2022

Low-Rank Characteristic Tensor Density Estimation Part I: Foundations.

Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos

IEEE Trans. Signal Process., 2022

Learning Multivariate CDFs and Copulas using Tensor Factorization.

Magda Amiridi, Nicholas D. Sidiropoulos

CoRR, 2022

Latent Temporal Flows for Multivariate Analysis of Wearables Data.

Magda Amiridi, Gregory Darnell, Sean Jewell

Proceedings of the Machine Learning for Healthcare Conference, 2022

2021

Information-Theoretic Feature Selection via Tensor Decomposition and Submodularity.

Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos

IEEE Trans. Signal Process., 2021

2020

Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach.

Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos

CoRR, 2020

2019

From Gene Expression to Drug Response: A Collaborative Filtering Approach.

Cheng Qian, Nicholas D. Sidiropoulos, Magda Amiridi, Amin Emad

Proceedings of the IEEE International Conference on Acoustics, 2019

Statistical Learning Using Hierarchical Modeling of Probability Tensors.

Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos

Proceedings of the IEEE Data Science Workshop, 2019