Michele Alberti | DeepAI

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∙ 06/07/2022

CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness

We present CAISAR, an open-source platform under active development for ...

0 Julien Girard-Satabin, et al. ∙

∙ 03/15/2021

Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs

We present a framework to generate synthetic historical documents with p...

0 Lars Vögtlin, et al. ∙

∙ 06/11/2019

Improving Reproducible Deep Learning Workflows with DeepDIVA

The field of deep learning is experiencing a trend towards producing rep...

0 Michele Alberti, et al. ∙

∙ 06/11/2019

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

In the last decades we have witnessed the success of applications of Art...

0 Joel Niklaus, et al. ∙

∙ 05/22/2019

A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis

Automatic analysis of scanned historical documents comprises a wide rang...

0 Linda Studer, et al. ∙

∙ 11/05/2018

Leveraging Random Label Memorization for Unsupervised Pre-Training

We present a novel approach to leverage large unlabeled datasets by pre-...

0 Vinaychandran Pondenkandath, et al. ∙

∙ 10/17/2018

Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks

Biometric authentication by means of handwritten signatures is a challen...

0 Paul Maergner, et al. ∙

∙ 08/21/2018

Are You Tampering With My Data?

We propose a novel approach towards adversarial attacks on neural networ...

0 Michele Alberti, et al. ∙

∙ 04/23/2018

DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments

We introduce DeepDIVA: an infrastructure designed to enable quick and in...

0 Michele Alberti, et al. ∙

∙ 04/05/2018

Identifying Cross-Depicted Historical Motifs

Cross-depiction is the problem of identifying the same object even when ...

0 Vinaychandran Pondenkandath, et al. ∙

∙ 11/23/2017

Open Evaluation Tool for Layout Analysis of Document Images

This paper presents an open tool for standardizing the evaluation proces...

0 Michele Alberti, et al. ∙

∙ 11/23/2017

A Pitfall of Unsupervised Pre-Training

The point of this paper is to question typical assumptions in deep learn...

0 Michele Alberti, et al. ∙

∙ 10/19/2017

Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks

In this paper, we present a novel approach to perform deep neural networ...

0 Michele Alberti, et al. ∙

∙ 09/05/2017

Context Generation from Formal Specifications for C Analysis Tools

Analysis tools like abstract interpreters, symbolic execution tools and ...

0 Michele Alberti, et al. ∙

∙ 03/13/2017

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

In this paper, we thoroughly investigate the quality of features produce...

0 Michele Alberti, et al. ∙

∙ 02/01/2017

PCA-Initialized Deep Neural Networks Applied To Document Image Analysis

In this paper, we present a novel approach for initializing deep neural ...

0 Mathias Seuret, et al. ∙

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