Michele Alberti

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 39

Top Venues

CoRR

ICDAR

SDS

ICFHR

University of Bologna, Italy (PHD)

Education History

University of Bologna, Italy

PHD

Publications

Julien Girard-Satabin, Michele Alberti, François Bobot, Zakaria Chihani, Augustin Lemesle
CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness. AISafety@IJCAI (2022)
Julien Girard-Satabin, Michele Alberti, François Bobot, Zakaria Chihani, Augustin Lemesle
CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness. CoRR (2022)
Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold
Generating Synthetic Handwritten Historical Documents with OCR Constrained GANs. ICDAR (3) (2021)
Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs. CoRR (2021)
Michele Alberti, Angela Botros, Narayan Schütz, Rolf Ingold, Marcus Liwicki, Mathias Seuret
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks. ICPR (2020)
Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki
Cross-Depicted Historical Motif Categorization and Retrieval with Deep Learning. J. Imaging 6 (7) (2020)
Joel Niklaus, Michele Alberti, Rolf Ingold, Markus Stolze, Thomas Koller
Challenging Human Supremacy: Evaluating Monte Carlo Tree Search and Deep Learning for the Trick Taking Card Game Jass. ICAISC (2) (2020)
Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Marcus Liwicki
Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts. CoRR (2019)
Gil Clavien, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki
DNNViz: Training Evolution Visualization for Deep Neural Network. SDS (2019)
Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold, Andreas Fischer
Combining graph edit distance and triplet networks for offline signature verification. Pattern Recognit. Lett. 125 (2019)
Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki
Improving Reproducible Deep Learning Workflows with DeepDIVA. SDS (2019)
Michele Alberti, Angela Botros, Narayan Schütz, Rolf Ingold, Marcus Liwicki, Mathias Seuret
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks. CoRR (2019)
Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Marcus Liwicki
Labeling, Cutting, Grouping: An Efficient Text Line Segmentation Method for Medieval Manuscripts. ICDAR (2019)
Joel Niklaus, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass. SDS (2019)
Vinaychandran Pondenkandath, Michele Alberti, Michaël Diatta, Rolf Ingold, Marcus Liwicki
Historical Document Synthesis with Generative Adversarial Networks. WML@ICDAR (2019)
Linda Studer, Michele Alberti, Vinaychandran Pondenkandath, Pinar Goktepe, Thomas Kolonko, Andreas Fischer, Marcus Liwicki, Rolf Ingold
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis. CoRR (2019)
Linda Studer, Michele Alberti, Vinaychandran Pondenkandath, Pinar Goktepe, Thomas Kolonko, Andreas Fischer, Marcus Liwicki, Rolf Ingold
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis. ICDAR (2019)
Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki
Improving Reproducible Deep Learning Workflows with DeepDIVA. CoRR (2019)
Joel Niklaus, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass. CoRR (2019)
Anna Scius-Bertrand, Lars Vögtlin, Michele Alberti, Andreas Fischer, Marc Bui
Layout Analysis and Text Column Segmentation for Historical Vietnamese Steles. HIP@ICDAR (2019)
Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki
Identifying Cross-Depicted Historical Motifs. CoRR (2018)
Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki
Are You Tampering with My Data? ECCV Workshops (2) (2018)
Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold, Andreas Fischer
Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks. CoRR (2018)
Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki
Are You Tampering With My Data? CoRR (2018)
Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki
Identifying Cross-Depicted Historical Motifs. ICFHR (2018)
Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. CoRR (2018)
Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold, Andreas Fischer
Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks. S+SSPR (2018)
Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. ICFHR (2018)
Vinaychandran Pondenkandath, Michele Alberti, Sammer Puran, Rolf Ingold, Marcus Liwicki
Leveraging Random Label Memorization for Unsupervised Pre-Training. CoRR (2018)
Michele Alberti, Manuel Bouillon, Rolf Ingold, Marcus Liwicki
Open Evaluation Tool for Layout Analysis of Document Images. OST@ICDAR (2017)
Mathias Seuret, Michele Alberti, Marcus Liwicki, Rolf Ingold
PCA-Initialized Deep Neural Networks Applied to Document Image Analysis. ICDAR (2017)
Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. HIP@ICDAR (2017)
Fotini Simistira, Manuel Bouillon, Mathias Seuret, Marcel Würsch, Michele Alberti, Rolf Ingold, Marcus Liwicki
ICDAR2017 Competition on Layout Analysis for Challenging Medieval Manuscripts. ICDAR (2017)
Mathias Seuret, Michele Alberti, Rolf Ingold, Marcus Liwicki
PCA-Initialized Deep Neural Networks Applied To Document Image Analysis. CoRR (2017)
Michele Alberti, Manuel Bouillon, Rolf Ingold, Marcus Liwicki
Open Evaluation Tool for Layout Analysis of Document Images. CoRR (2017)
Michele Alberti, Julien Signoles
Context Generation from Formal Specifications for C Analysis Tools. CoRR (2017)
Michele Alberti, Julien Signoles
Context Generation from Formal Specifications for C Analysis Tools. LOPSTR (2017)
Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. CoRR (2017)
Michele Alberti, Mathias Seuret, Rolf Ingold, Marcus Liwicki
What You Expect is NOT What You Get! Questioning Reconstruction/Classification Correlation of Stacked Convolutional Auto-Encoder Features. CoRR (2017)
Ugo Dal Lago, Davide Sangiorgi, Michele Alberti
On coinductive equivalences for higher-order probabilistic functional programs. POPL (2014)
Ugo Dal Lago, Davide Sangiorgi, Michele Alberti
On Coinductive Equivalences for Higher-Order Probabilistic Functional Programs (Long Version). CoRR (2013)

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Publication Activity (10 Years)

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Michele Alberti