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M. Pegoraro

33 papers hereh-index 13737 citations71 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author19
  • middle author12

Across the 33 of 33 papers where every author was matched, so the position is known.

fields
  • cs.DB8
  • cs.AI7
  • cs.LG6
  • cs.CV3
  • cs.DS2
  • q-bio.BM2
same name
  • M. Pegoraro — 27 papers, h 58
  • M. Pegoraro — 21 papers
  • M. Pegoraro — 9 papers, h 27
  • M. Pegoraro — 6 papers
  • M. Pegoraro — 3 papers
  • M. Pegoraro — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedConformance Checking over Uncertain Event Data

43 citations · 181 across the 31 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

q-bio.BM2023

Geometric Epitope and Paratope Prediction

Marco Pegoraro, Clémentine Dominé, Emanuele Rodolà +2

Antibody-antigen interactions play a crucial role in identifying and neutralizing harmful foreign molecules. In this paper, we investigate the optimal representation for predicting…

cs.DB2023★ 1 cited

Applying Process Mining on Scientific Workflows: a Case Study on High Performance Computing Data

Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro +1

Computer-based scientific experiments are becoming increasingly data-intensive, necessitating the use of High-Performance Computing (HPC) clusters to handle large scientific workfl…

stat.ME2023

Vector Quantile Regression on Manifolds

Marco Pegoraro, Sanketh Vedula, Aviv A. Rosenberg +3

Quantile regression (QR) is a statistical tool for distribution-free estimation of conditional quantiles of a target variable given explanatory features. QR is limited by the assum…

cs.LG2023

Performance-Preserving Event Log Sampling for Predictive Monitoring

Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park +3

Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such predictions are of significant intere…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.