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ORCIDMichele Alberti
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2020 – today
- 2022
[c21]Julien Girard-Satabin, Michele Alberti, François Bobot, Zakaria Chihani, Augustin Lemesle:
CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness. AISafety@IJCAI 2022- [i18]Julien Girard-Satabin, Michele Alberti, François Bobot, Zakaria Chihani, Augustin Lemesle:
CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness. CoRR abs/2206.03044 (2022) - 2021
- [c20]Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold:
Generating Synthetic Handwritten Historical Documents with OCR Constrained GANs. ICDAR (3) 2021: 610-625 - [i17]Lars Vögtlin
, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold:
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs. CoRR abs/2103.08236 (2021) - 2020
- [j2]Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki:
Cross-Depicted Historical Motif Categorization and Retrieval with Deep Learning. J. Imaging 6(7): 71 (2020) - [c19]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: 505-517 - [c18]Michele Alberti, Angela Botros, Narayan Schütz, Rolf Ingold, Marcus Liwicki, Mathias Seuret:
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks. ICPR 2020: 8204-8211
2010 – 2019
- 2019
- [j1]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: 527-533 (2019) - [c17]Anna Scius-Bertrand, Lars Vögtlin, Michele Alberti, Andreas Fischer, Marc Bui:
Layout Analysis and Text Column Segmentation for Historical Vietnamese Steles. HIP@ICDAR 2019: 84-89 - [c16]Vinaychandran Pondenkandath, Michele Alberti, Michaël Diatta, Rolf Ingold, Marcus Liwicki:
Historical Document Synthesis with Generative Adversarial Networks. WML@ICDAR 2019: 146-151 - [c15]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A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis.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: 720-725 - [c14]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: 1200-1206 - [c13]Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
Improving Reproducible Deep Learning Workflows with DeepDIVA. SDS 2019: 13-18 - [c12]Gil Clavien, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
DNNViz: Training Evolution Visualization for Deep Neural Network. SDS 2019: 19-24 - [c11]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: 25-30 - [i16]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 abs/1905.09113 (2019) - [i15]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 abs/1906.04439 (2019) - [i14]Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
Improving Reproducible Deep Learning Workflows with DeepDIVA. CoRR abs/1906.04736 (2019) - [i13]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 abs/1906.11894 (2019) - [i12]Michele Alberti, Angela Botros, Narayan Schütz, Rolf Ingold, Marcus Liwicki, Mathias Seuret:
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks. CoRR abs/1911.05045 (2019) - 2018
- [c10]Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
Are You Tampering with My Data? ECCV Workshops (2) 2018: 296-312 - [c9]Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki:
Identifying Cross-Depicted Historical Motifs. ICFHR 2018: 333-338 - [c8]Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. ICFHR 2018: 423-428 - [c7]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: 470-480 - [i11]Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki:
Identifying Cross-Depicted Historical Motifs. CoRR abs/1804.01728 (2018) - [i10]Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. CoRR abs/1805.00329 (2018) - [i9]Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
Are You Tampering With My Data? CoRR abs/1808.06809 (2018) - [i8]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 abs/1810.07491 (2018) - [i7]Vinaychandran Pondenkandath, Michele Alberti, Sammer Puran, Rolf Ingold, Marcus Liwicki:
Leveraging Random Label Memorization for Unsupervised Pre-Training. CoRR abs/1811.01640 (2018) - 2017
- [c6]Michele Alberti, Manuel Bouillon, Rolf Ingold, Marcus Liwicki:
Open Evaluation Tool for Layout Analysis of Document Images. OST@ICDAR 2017: 43-47 - [c5]Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. HIP@ICDAR 2017: 95-100 - [c4]Mathias Seuret, Michele Alberti, Marcus Liwicki, Rolf Ingold:
PCA-Initialized Deep Neural Networks Applied to Document Image Analysis. ICDAR 2017: 877-882 - [c3]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: 1361-1370 - [c2]Michele Alberti, Julien Signoles:
Context Generation from Formal Specifications for C Analysis Tools. LOPSTR 2017: 93-111 - [i6]Mathias Seuret, Michele Alberti, Rolf Ingold, Marcus Liwicki:
PCA-Initialized Deep Neural Networks Applied To Document Image Analysis. CoRR abs/1702.00177 (2017) - [i5]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 abs/1703.04332 (2017) - [i4]Michele Alberti, Julien Signoles:
Context Generation from Formal Specifications for C Analysis Tools. CoRR abs/1709.04497 (2017) - [i3]Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. CoRR abs/1710.07363 (2017) - [i2]Michele Alberti, Manuel Bouillon, Rolf Ingold, Marcus Liwicki:
Open Evaluation Tool for Layout Analysis of Document Images. CoRR abs/1712.01656 (2017) - 2014
- [b1]Michele Alberti:
On operational properties of quantitative extensions of λ-calculus. Aix-Marseille University, Aix-en-Provence, France, 2014 - [c1]Ugo Dal Lago, Davide Sangiorgi, Michele Alberti:
On coinductive equivalences for higher-order probabilistic functional programs. POPL 2014: 297-308 - 2013
- [i1]Ugo Dal Lago, Davide Sangiorgi, Michele Alberti:
On Coinductive Equivalences for Higher-Order Probabilistic Functional Programs (Long Version). CoRR abs/1311.1722 (2013)
Coauthor Index
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