University of Bologna

∙ Bologna , Italy ∙ 0 followers

The University of Bologna, founded in 1088, is the oldest university in continuous operation, as well as one of the leading academic institutions in Italy and Europe.

A sub-Riemannian model of the visual cortex with frequency and phase

In this paper we present a novel model of the primary visual cortex (V1)...
10/11/2019 ∙ by E. Baspinar, et al. ∙ 26 ∙ share

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A Commentary on "Breaking Row and Column Symmetries in Matrix Models"

The CP 2002 paper entitled "Breaking Row and Column Symmetries in Matrix...
10/03/2019 ∙ by Alan M. Frisch, et al. ∙ 23 ∙ share

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A dissemination workshop for introducing young Italian students to NLP

We describe and make available the game-based material developed for a l...
04/26/2021 ∙ by Lucio Messina, et al. ∙ 21 ∙ share

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On the uncertainty of self-supervised monocular depth estimation

Self-supervised paradigms for monocular depth estimation are very appeal...
05/13/2020 ∙ by Matteo Poggi, et al. ∙ 19 ∙ share

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Shooting Labels: 3D Semantic Labeling by Virtual Reality

Availability of a few, large-size, annotated datasets, like ImageNet, Pa...
10/11/2019 ∙ by Pierluigi Zama Ramirez, et al. ∙ 17 ∙ share

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Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students

Although Natural Language Processing (NLP) is at the core of many tools ...
04/26/2021 ∙ by Ludovica Pannitto, et al. ∙ 16 ∙ share

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Prta: A System to Support the Analysis of Propaganda Techniques in the News

Recent events, such as the 2016 US Presidential Campaign, Brexit and the...
05/12/2020 ∙ by Giovanni Da San Martino, et al. ∙ 15 ∙ share

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CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media

We describe the third edition of the CheckThat! Lab, which is part of th...
01/21/2020 ∙ by Alberto Barron-Cedeno, et al. ∙ 14 ∙ share

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Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling

Representation learning models for graphs are a successful family of tec...
06/25/2020 ∙ by Simone Piaggesi, et al. ∙ 12 ∙ share

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End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning

Navigating through intersections is one of the main challenging tasks fo...
04/28/2021 ∙ by Alessandro Paolo Capasso, et al. ∙ 11 ∙ share

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A deep learning pipeline for product recognition on store shelves

Recognition of grocery products in store shelves poses peculiar challeng...
10/03/2018 ∙ by Alessio Tonioni, et al. ∙ 10 ∙ share

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Domain invariant hierarchical embedding for grocery products recognition

Recognizing packaged grocery products based solely on appearance is stil...
02/02/2019 ∙ by Alessio Tonioni, et al. ∙ 10 ∙ share

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Fine-Grained Analysis of Propaganda in News Articles

Propaganda aims at influencing people's mindset with the purpose of adva...
10/06/2019 ∙ by Giovanni Da San Martino, et al. ∙ 10 ∙ share

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Continual Reinforcement Learning in 3D Non-stationary Environments

High-dimensional always-changing environments constitute a hard challeng...
05/24/2019 ∙ by Vincenzo Lomonaco, et al. ∙ 9 ∙ share

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A Lagrangian Dual Framework for Deep Neural Networks with Constraints

A variety of computationally challenging constrained optimization proble...
01/26/2020 ∙ by Ferdinando Fioretto, et al. ∙ 9 ∙ share

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Semi-Automatic Labeling for Deep Learning in Robotics

In this paper, we propose Augmented Reality Semi-automatic labeling (ARS...
08/05/2019 ∙ by Daniele De Gregorio, et al. ∙ 7 ∙ share

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Technical Report: NEMO DNN Quantization for Deployment Model

This technical report aims at defining a formal framework for Deep Neura...
04/13/2020 ∙ by Francesco Conti, et al. ∙ 7 ∙ share

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Content-Based Textual File Type Detection at Scale

Programming language detection is a common need in the analysis of large...
01/21/2021 ∙ by Francesca Del Bonifro, et al. ∙ 7 ∙ share

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A deep learning pipeline for product recognition in store shelves

Recognition of grocery products in store shelves poses peculiar challeng...
10/03/2018 ∙ by Alessio Tonioni, et al. ∙ 6 ∙ share

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It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction

We propose a multi-task deep-learning approach for estimating the check-...
08/19/2019 ∙ by Slavena Vasileva, et al. ∙ 4 ∙ share

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Modeling Contrary-to-Duty with CP-nets

In a ceteris-paribus semantics for deontic logic, a state of affairs whe...
03/23/2020 ∙ by Roberta Calegari, et al. ∙ 4 ∙ share

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Space-adaptive anisotropic bivariate Laplacian regularization for image restoration

In this paper we present a new regularization term for variational image...
08/02/2019 ∙ by Luca Calatroni, et al. ∙ 2 ∙ share

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Learning optical flow from still images

This paper deals with the scarcity of data for training optical flow net...
04/08/2021 ∙ by Filippo Aleotti, et al. ∙ 2 ∙ share

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The Effectiveness of Data Augmentation for Detection of Gastrointestinal Diseases from Endoscopical Images

The lack, due to privacy concerns, of large public databases of medical ...
12/11/2017 ∙ by Andrea Asperti, et al. ∙ 0 ∙ share

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NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs

Deep convolutional neural networks (CNNs) obtain outstanding results in ...
12/04/2017 ∙ by Paolo Meloni, et al. ∙ 0 ∙ share

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Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?

Design automation in general, and in particular logic synthesis, can pla...
11/21/2017 ∙ by Manuele Rusci, et al. ∙ 0 ∙ share

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CORe50: a New Dataset and Benchmark for Continuous Object Recognition

Continuous/Lifelong learning of high-dimensional data streams is a chall...
05/09/2017 ∙ by Vincenzo Lomonaco, et al. ∙ 0 ∙ share

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Cortical spatio-temporal dimensionality reduction for visual grouping

The visual systems of many mammals, including humans, is able to integra...
07/02/2014 ∙ by Giacomo Cocci, et al. ∙ 0 ∙ share

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Conditional Time Series Forecasting with Convolutional Neural Networks

We present a method for conditional time series forecasting based on the...
03/14/2017 ∙ by Anastasia Borovykh, et al. ∙ 0 ∙ share

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Boolean Networks Design by Genetic Algorithms

We present and discuss the results of an experimental analysis in the de...
01/31/2011 ∙ by Andrea Roli, et al. ∙ 0 ∙ share

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Abducing Compliance of Incomplete Event Logs

The capability to store data about business processes execution in so-ca...
06/17/2016 ∙ by Federico Chesani, et al. ∙ 0 ∙ share

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On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation

Camera relocalisation is an important problem in computer vision, with a...
02/09/2017 ∙ by Tommaso Cavallari, et al. ∙ 0 ∙ share

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Towards Data-Driven Autonomics in Data Centers

Continued reliance on human operators for managing data centers is a maj...
05/19/2015 ∙ by Alina Sîrbu, et al. ∙ 0 ∙ share

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A Multicore Tool for Constraint Solving

*** To appear in IJCAI 2015 proceedings *** In Constraint Programming (C...
02/13/2015 ∙ by Roberto Amadini, et al. ∙ 0 ∙ share

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A neuro-mathematical model for geometrical optical illusions

Geometrical optical illusions have been object of many studies due to th...
11/27/2016 ∙ by B. Franceschiello, et al. ∙ 0 ∙ share

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Timed Soft Concurrent Constraint Programs: An Interleaved and a Parallel Approach

We propose a timed and soft extension of Concurrent Constraint Programmi...
02/24/2014 ∙ by Stefano Bistarelli, et al. ∙ 0 ∙ share

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Semi-supervised Tuning from Temporal Coherence

Recent works demonstrated the usefulness of temporal coherence to regula...
11/10/2015 ∙ by Davide Maltoni, et al. ∙ 0 ∙ share

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A Novel Frank-Wolfe Algorithm. Analysis and Applications to Large-Scale SVM Training

Recently, there has been a renewed interest in the machine learning comm...
04/03/2013 ∙ by Hector Allende, et al. ∙ 0 ∙ share

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Object-oriented Bayesian networks for a decision support system for antitrust enforcement

We study an economic decision problem where the actors are two firms and...
01/08/2013 ∙ by Julia Mortera, et al. ∙ 0 ∙ share

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An Empirical Evaluation of Portfolios Approaches for solving CSPs

Recent research in areas such as SAT solving and Integer Linear Programm...
12/04/2012 ∙ by Roberto Amadini, et al. ∙ 0 ∙ share

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Local and global gestalt laws: A neurally based spectral approach

A mathematical model of figure-ground articulation is presented, taking ...
12/21/2015 ∙ by Marta Favali, et al. ∙ 0 ∙ share

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A Bi-Directional Refinement Algorithm for the Calculus of (Co)Inductive Constructions

The paper describes the refinement algorithm for the Calculus of (Co)Ind...
02/22/2012 ∙ by Andrea Asperti, et al. ∙ 0 ∙ share

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Volume-based Semantic Labeling with Signed Distance Functions

Research works on the two topics of Semantic Segmentation and SLAM (Simu...
11/13/2015 ∙ by Tommaso Cavallari, et al. ∙ 0 ∙ share

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Comparing persistence diagrams through complex vectors

The natural pseudo-distance of spaces endowed with filtering functions i...
05/06/2015 ∙ by Barbara Di Fabio, et al. ∙ 0 ∙ share

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Collaboration and Coordination in Secondary Networks for Opportunistic Spectrum Access

In this paper, we address the general case of a coordinated secondary ne...
04/13/2012 ∙ by Wassim Jouini, et al. ∙ 0 ∙ share

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Combining persistent homology and invariance groups for shape comparison

In many applications concerning the comparison of data expressed by R^m-...
12/27/2013 ∙ by Patrizio Frosini, et al. ∙ 0 ∙ share

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G-invariant Persistent Homology

Classical persistent homology is a powerful mathematical tool for shape ...
12/04/2012 ∙ by Patrizio Frosini, et al. ∙ 0 ∙ share

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Vessel Segmentation in Medical Imaging Using a Tight-Frame Based Algorithm

Tight-frame, a generalization of orthogonal wavelets, has been used succ...
08/13/2011 ∙ by Xiaohao Cai, et al. ∙ 0 ∙ share

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Necessary Conditions for Discontinuities of Multidimensional Size Functions

Some new results about multidimensional Topological Persistence are pres...
11/12/2008 ∙ by Andrea Cerri, et al. ∙ 0 ∙ share

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HERO: Heterogeneous Embedded Research Platform for Exploring RISC-V Manycore Accelerators on FPGA

Heterogeneous embedded systems on chip (HESoCs) co-integrate a standard ...
12/18/2017 ∙ by Andreas Kurth, et al. ∙ 0 ∙ share

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