
A subRiemannian model of the visual cortex with frequency and phase
In this paper we present a novel model of the primary visual cortex (V1)...
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Towards Industrial Private AI: A twotier framework for data and model security
With the advances in 5G and IoT devices, the industries are vastly adopt...
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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...
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A dissemination workshop for introducing young Italian students to NLP
We describe and make available the gamebased material developed for a l...
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On the uncertainty of selfsupervised monocular depth estimation
Selfsupervised paradigms for monocular depth estimation are very appeal...
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Shooting Labels: 3D Semantic Labeling by Virtual Reality
Availability of a few, largesize, annotated datasets, like ImageNet, Pa...
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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 ...
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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...
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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...
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Timevarying Graph Representation Learning via HigherOrder SkipGram with Negative Sampling
Representation learning models for graphs are a successful family of tec...
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EndtoEnd Intersection Handling using MultiAgent Deep Reinforcement Learning
Navigating through intersections is one of the main challenging tasks fo...
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A deep learning pipeline for product recognition on store shelves
Recognition of grocery products in store shelves poses peculiar challeng...
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Domain invariant hierarchical embedding for grocery products recognition
Recognizing packaged grocery products based solely on appearance is stil...
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FineGrained Analysis of Propaganda in News Articles
Propaganda aims at influencing people's mindset with the purpose of adva...
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Continual Reinforcement Learning in 3D Nonstationary Environments
Highdimensional alwayschanging environments constitute a hard challeng...
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A Lagrangian Dual Framework for Deep Neural Networks with Constraints
A variety of computationally challenging constrained optimization proble...
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SemiAutomatic Labeling for Deep Learning in Robotics
In this paper, we propose Augmented Reality Semiautomatic labeling (ARS...
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Technical Report: NEMO DNN Quantization for Deployment Model
This technical report aims at defining a formal framework for Deep Neura...
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ContentBased Textual File Type Detection at Scale
Programming language detection is a common need in the analysis of large...
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A deep learning pipeline for product recognition in store shelves
Recognition of grocery products in store shelves poses peculiar challeng...
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It Takes Nine to Smell a Rat: Neural MultiTask Learning for CheckWorthiness Prediction
We propose a multitask deeplearning approach for estimating the check...
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Modeling ContrarytoDuty with CPnets
In a ceterisparibus semantics for deontic logic, a state of affairs whe...
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Spaceadaptive anisotropic bivariate Laplacian regularization for image restoration
In this paper we present a new regularization term for variational image...
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Learning optical flow from still images
This paper deals with the scarcity of data for training optical flow net...
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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 ...
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NEURAghe: Exploiting CPUFPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs
Deep convolutional neural networks (CNNs) obtain outstanding results in ...
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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...
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CORe50: a New Dataset and Benchmark for Continuous Object Recognition
Continuous/Lifelong learning of highdimensional data streams is a chall...
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Cortical spatiotemporal dimensionality reduction for visual grouping
The visual systems of many mammals, including humans, is able to integra...
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Conditional Time Series Forecasting with Convolutional Neural Networks
We present a method for conditional time series forecasting based on the...
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Boolean Networks Design by Genetic Algorithms
We present and discuss the results of an experimental analysis in the de...
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Abducing Compliance of Incomplete Event Logs
The capability to store data about business processes execution in soca...
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OntheFly Adaptation of Regression Forests for Online Camera Relocalisation
Camera relocalisation is an important problem in computer vision, with a...
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Towards DataDriven Autonomics in Data Centers
Continued reliance on human operators for managing data centers is a maj...
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A Multicore Tool for Constraint Solving
*** To appear in IJCAI 2015 proceedings *** In Constraint Programming (C...
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A neuromathematical model for geometrical optical illusions
Geometrical optical illusions have been object of many studies due to th...
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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...
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Semisupervised Tuning from Temporal Coherence
Recent works demonstrated the usefulness of temporal coherence to regula...
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A Novel FrankWolfe Algorithm. Analysis and Applications to LargeScale SVM Training
Recently, there has been a renewed interest in the machine learning comm...
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Objectoriented Bayesian networks for a decision support system for antitrust enforcement
We study an economic decision problem where the actors are two firms and...
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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...
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Local and global gestalt laws: A neurally based spectral approach
A mathematical model of figureground articulation is presented, taking ...
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A BiDirectional Refinement Algorithm for the Calculus of (Co)Inductive Constructions
The paper describes the refinement algorithm for the Calculus of (Co)Ind...
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Volumebased Semantic Labeling with Signed Distance Functions
Research works on the two topics of Semantic Segmentation and SLAM (Simu...
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Comparing persistence diagrams through complex vectors
The natural pseudodistance of spaces endowed with filtering functions i...
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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...
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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...
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Ginvariant Persistent Homology
Classical persistent homology is a powerful mathematical tool for shape ...
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Vessel Segmentation in Medical Imaging Using a TightFrame Based Algorithm
Tightframe, a generalization of orthogonal wavelets, has been used succ...
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Necessary Conditions for Discontinuities of Multidimensional Size Functions
Some new results about multidimensional Topological Persistence are pres...
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University of Bologna
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.