Emilio Dorigatti

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Positive And Unlabeled Examples

Data Clustering

Top Venues

Publications

Lucas Kook, Chris Kolb, Philipp Schiele, Daniel Dold, Marcel Arpogaus, Cornelius Fritz, Philipp F. M. Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression. CoRR (2024)
Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin
Approximate Bayes Optimal Pseudo-Label Selection. CoRR (2023)
Amadeu Scheppach, Hüseyin Anil Gündüz, Emilio Dorigatti, Philipp C. Münch, Alice C. McHardy, Bernd Bischl, Mina Rezaei, Martin Binder
Neural Architecture Search for Genomic Sequence Data. CIBCB (2023)
Emilio Dorigatti, Benjamin Schubert, Bernd Bischl, David Rügamer
Frequentist Uncertainty Quantification in Semi-Structured Neural Networks. AISTATS (2023)
Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin
Approximately Bayes-optimal pseudo-label selection. UAI (2023)
Emilio Dorigatti, Jann Goschenhofer, Benjamin Schubert, Mina Rezaei, Bernd Bischl
Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection. CoRR (2022)
Shunjie-Fabian Zheng, JaeEun Nam, Emilio Dorigatti, Bernd Bischl, Shekoofeh Azizi, Mina Rezaei
Joint Debiased Representation and Image Clustering Learning with Self-Supervision. CoRR (2022)
Emilio Dorigatti, Bernd Bischl, Benjamin Schubert
Improved proteasomal cleavage prediction with positive-unlabeled learning. CoRR (2022)
Emilio Dorigatti, Jonas Schweisthal, Bernd Bischl, Mina Rezaei
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision. CoRR (2022)
Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl
Joint Debiased Representation Learning and Imbalanced Data Clustering. ICDM (Workshops) (2022)
Cornelius Fritz, Emilio Dorigatti, David Rügamer
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany. CoRR (2021)
Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl
Learning Statistical Representation with Joint Deep Embedded Clustering. CoRR (2021)
Emilio Dorigatti, Benjamin Schubert
Graph-theoretical formulation of the generalized epitope-based vaccine design problem. PLoS Comput. Biol. 16 (10) (2020)
Marco Fossati, Emilio Dorigatti, Claudio Giuliano
N-ary relation extraction for simultaneous T-Box and A-Box knowledge base augmentation. Semantic Web 9 (4) (2018)