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20212026
most citedTackling Morphological Analogies Using Deep Learning -- Extended Version

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Shapley Regression for Rare Disease Diagnosis Support: a case study on APDS

Safa Alsaidi, Tomás Brogueira, Nizar Mahlaoui +5

Activated PI3K8 Syndrome (APDS) is a rare genetic immune disorder caused by variants in PIK3CD or PIK3R1, with highly heterogeneous symptoms that often delay diagnosis. Early recog…

cs.CL2025

Comparing representations of long clinical texts for the task of patient note-identification

Safa Alsaidi, Marc Vincent, Olivia Boyer +3

In this paper, we address the challenge of patient-note identification, which involves accurately matching an anonymized clinical note to its corresponding patient, represented by…

cs.CL2021★ 1 cited

Tackling Morphological Analogies Using Deep Learning -- Extended Version

Safa Alsaidi, Amandine Decker, Esteban Marquer +2

Analogical proportions are statements of the form "A is to B as C is to D". They constitute an inference tool that provides a logical framework to address learning, transfer, and e…

cs.CL2021

A Neural Approach for Detecting Morphological Analogies

Safa Alsaidi, Amandine Decker, Puthineath Lay +3

Analogical proportions are statements of the form "A is to B as C is to D" that are used for several reasoning and classification tasks in artificial intelligence and natural langu…

cs.CL2021

On the Transferability of Neural Models of Morphological Analogies

Safa Alsaidi, Amandine Decker, Puthineath Lay +3

Analogical proportions are statements expressed in the form "A is to B as C is to D" and are used for several reasoning and classification tasks in artificial intelligence and natu…