Michele Alberti

According to our database, Michele Alberti authored at least 27 papers between 2013 and 2022.

Collaborative distances:

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

2022

CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness.

Julien Girard-Satabin, Michele Alberti, François Bobot, Zakaria Chihani, Augustin Lemesle

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

2021

Generating Synthetic Handwritten Historical Documents with OCR Constrained GANs.

Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020

Cross-Depicted Historical Motif Categorization and Retrieval with Deep Learning.

Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki

J. Imaging, 2020

Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks.

Michele Alberti, Angela Botros, Narayan Schütz, Rolf Ingold, Marcus Liwicki, Mathias Seuret

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Challenging Human Supremacy: Evaluating Monte Carlo Tree Search and Deep Learning for the Trick Taking Card Game Jass.

Joel Niklaus, Michele Alberti, Rolf Ingold, Markus Stolze, Thomas Koller

Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019

Combining graph edit distance and triplet networks for offline signature verification.

Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold, Andreas Fischer

Pattern Recognit. Lett., 2019

Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass.

Joel Niklaus, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki

Proceedings of the 6th Swiss Conference on Data Science, 2019

DNNViz: Training Evolution Visualization for Deep Neural Network.

Gil Clavien, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki

Proceedings of the 6th Swiss Conference on Data Science, 2019

Improving Reproducible Deep Learning Workflows with DeepDIVA.

Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki

Proceedings of the 6th Swiss Conference on Data Science, 2019

A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis.

Linda Studer, Michele Alberti, Vinaychandran Pondenkandath, Pinar Goktepe, Thomas Kolonko, Andreas Fischer, Marcus Liwicki, Rolf Ingold

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Layout Analysis and Text Column Segmentation for Historical Vietnamese Steles.

Anna Scius-Bertrand, Lars Vögtlin, Michele Alberti, Andreas Fischer, Marc Bui

Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, 2019

Historical Document Synthesis with Generative Adversarial Networks.

Vinaychandran Pondenkandath, Michele Alberti, Michaël Diatta, Rolf Ingold, Marcus Liwicki

Proceedings of the Second International Workshop on Machine Learning, 2019

Labeling, Cutting, Grouping: An Efficient Text Line Segmentation Method for Medieval Manuscripts.

Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Marcus Liwicki

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018

Leveraging Random Label Memorization for Unsupervised Pre-Training.

Vinaychandran Pondenkandath, Michele Alberti, Sammer Puran, Rolf Ingold, Marcus Liwicki

CoRR, 2018

Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks.

Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold, Andreas Fischer

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Identifying Cross-Depicted Historical Motifs.

Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki

Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments.

Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki

Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

Are You Tampering with My Data?

Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

What You Expect is NOT What You Get! Questioning Reconstruction/Classification Correlation of Stacked Convolutional Auto-Encoder Features.

Michele Alberti, Mathias Seuret, Rolf Ingold, Marcus Liwicki

CoRR, 2017

Context Generation from Formal Specifications for C Analysis Tools.

Michele Alberti, Julien Signoles

Proceedings of the Logic-Based Program Synthesis and Transformation, 2017

ICDAR2017 Competition on Layout Analysis for Challenging Medieval Manuscripts.

Fotini Simistira, Manuel Bouillon, Mathias Seuret, Marcel Würsch, Michele Alberti, Rolf Ingold, Marcus Liwicki

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

PCA-Initialized Deep Neural Networks Applied to Document Image Analysis.

Mathias Seuret, Michele Alberti, Marcus Liwicki, Rolf Ingold

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks.

Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki

Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, 2017

Open Evaluation Tool for Layout Analysis of Document Images.

Michele Alberti, Manuel Bouillon, Rolf Ingold, Marcus Liwicki

Proceedings of the 1st International Workshop on Open Services and Tools for Document Analysis, 2017

2014

On operational properties of quantitative extensions of λ-calculus.

Michele Alberti

PhD thesis, 2014

On coinductive equivalences for higher-order probabilistic functional programs.

Ugo Dal Lago, Davide Sangiorgi, Michele Alberti

Proceedings of the 41st Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2014

2013

On Coinductive Equivalences for Higher-Order Probabilistic Functional Programs (Long Version).

Ugo Dal Lago, Davide Sangiorgi, Michele Alberti

CoRR, 2013