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20212026
most citedDoes Differentially Private Synthetic Data Lead to Synthetic Discoveries?

5 citations · 5 across the 5 of their papers we have counts for

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5 papers

cs.LG2026

Evaluation metrics for temporal preservation in synthetic longitudinal patient data

Katariina Perkonoja, Parisa Movahedi, Antti Airola +2

This study introduces a set of metrics for evaluating temporal preservation in synthetic longitudinal patient data, defined as artificially generated data that mimic real patients'…

cs.LG2025

Interaction Concordance Index: Performance Evaluation for Interaction Prediction Methods

Tapio Pahikkala, Riikka Numminen, Parisa Movahedi +2

Consider two sets of entities and their members' mutual affinity values, say drug-target affinities (DTA). Drugs and targets are said to interact in their effects on DTAs if drug's…

cs.LG2024★ 5 cited

Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?

Ileana Montoya Perez, Parisa Movahedi, Valtteri Nieminen +2

Background: Synthetic data has been proposed as a solution for sharing anonymized versions of sensitive biomedical datasets. Ideally, synthetic data should preserve the structure a…

cs.LG2021

A Link between Coding Theory and Cross-Validation with Applications

Tapio Pahikkala, Parisa Movahedi, Ileana Montoya +4

How many different binary classification problems a single learning algorithm can solve on a fixed data with exactly zero or at most a given number of cross-validation errors? Whil…

cs.RO2021

Long-Term Autonomy in Forest Environment using Self-Corrective SLAM

Paavo Nevalainen, Parisa Movahedi, Jorge Peña Queralta +2

Vehicles with prolonged autonomous missions have to maintain environment awareness by simultaneous localization and mapping (SLAM). Closed loop correction is substituted by interpo…