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Combining GANs and AutoEncoders for Efficient Anomaly Detection
In this work, we propose CBiGAN – a novel method for anomaly detection i...
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Word-Class Embeddings for Multiclass Text Classification
Pre-trained word embeddings encode general word semantics and lexical re...
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Out-domain examples for generative models
Deep generative models are being increasingly used in a wide variety of ...
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Virtual to Real adaptation of Pedestrian Detectors for Smart Cities
Pedestrian detection through computer vision is a building block for a m...
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Transformer Reasoning Network for Image-Text Matching and Retrieval
Image-text matching is an interesting and fascinating task in modern AI ...
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Self-Organization and Artificial Life
Self-organization can be broadly defined as the ability of a system to d...
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Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild"
We present the first method to perform automatic 3D pose, shape and text...
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CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting
This paper introduces CloudLSTM, a new branch of recurrent neural networ...
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Quantum Semantic Learning by Reverse Annealing an Adiabatic Quantum Computer
Boltzmann Machines constitute a class of neural networks with applicatio...
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Recognition of feature curves on 3D shapes using an algebraic approach to Hough transforms
Feature curves are largely adopted to highlight shape features, such as ...
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Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions
In this paper we tackle the problem of image search when the query is a ...
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Quantifying the relation between performance and success in soccer
The availability of massive data about sports activities offers nowadays...
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On Coreferring Text-extracted Event Descriptions with the aid of Ontological Reasoning
Systems for automatic extraction of semantic information about events fr...
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From Community Detection to Community Deception
The community deception problem is about how to hide a target community ...
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Segmenting Dermoscopic Images
We propose an automatic algorithm, named SDI, for the segmentation of sk...
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An intelligent extension of Variable Neighbourhood Search for labelling graph problems
In this paper we describe an extension of the Variable Neighbourhood Sea...
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An Approach to the Analysis of the South Slavic Medieval Labels Using Image Texture
The paper presents a new script classification method for the discrimina...
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Ontology-based Representation and Reasoning on Process Models: A Logic Programming Approach
We propose a framework grounded in Logic Programming for representing an...
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3D Menagerie: Modeling the 3D shape and pose of animals
There has been significant work on learning realistic, articulated, 3D m...
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From Collective Adaptive Systems to Human Centric Computation and Back: Spatial Model Checking for Medical Imaging
Recent research on formal verification for Collective Adaptive Systems (...
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Using Apache Lucene to Search Vector of Locally Aggregated Descriptors
Surrogate Text Representation (STR) is a profitable solution to efficien...
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Stable Graphical Models
Stable random variables are motivated by the central limit theorem for d...
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On the Undecidability of Fuzzy Description Logics with GCIs with Lukasiewicz t-norm
Recently there have been some unexpected results concerning Fuzzy Descri...
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Exploiting Reputation in Distributed Virtual Environments
The cognitive research on reputation has shown several interesting prope...
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Understanding opinions. A cognitive and formal account
The study of opinions, their formation and change, is one of the definin...
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Rooting opinions in the minds: a cognitive model and a formal account of opinions and their dynamics
The study of opinions, their formation and change, is one of the definin...
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Analysis of the South Slavic Scripts by Run-Length Features of the Image Texture
The paper proposes an algorithm for the script recognition based on the ...
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Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers
Machine Learning (ML) algorithms are used to train computers to perform ...
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Outlying Property Detection with Numerical Attributes
The outlying property detection problem is the problem of discovering th...
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Soft Constraints for Quality Aspects in Service Oriented Architectures
We propose the use of Soft Constraints as a natural way to model Service...
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Determining a rotation of a tetrahedron from a projection
The following problem, arising from medical imaging, is addressed: Suppo...
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As-exact-as-possible repair of unprintable STL files
The class of models that can be represented by STL files is larger than ...
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A level set based method for fixing overhangs in 3D printing
3D printers based on the Fused Decomposition Modeling create objects lay...
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Voronoi Grid-Shell Structures
We introduce a framework for the generation of grid-shell structures tha...
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A study on text-score disagreement in online reviews
In this paper, we focus on online reviews and employ artificial intellig...
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Mining Worse and Better Opinions. Unsupervised and Agnostic Aggregation of Online Reviews
In this paper, we propose a novel approach for aggregating online review...
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A matter of words: NLP for quality evaluation of Wikipedia medical articles
Automatic quality evaluation of Web information is a task with many fiel...
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Enhanced power grid evaluation through efficient stochastic model-based analysis
Electrical infrastructures provide services at the basis of a number of ...
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An edge-fog-cloud platform for anticipatory learning process designed for Internet of Mobile Things
This paper presents a novel architecture for data analytics targeting an...
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Solar hard X-ray imaging by means of Compressed Sensing and Finite Isotropic Wavelet Transform
This paper shows that compressed sensing realized by means of regularize...
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Distributed estimation from relative measurements of heterogeneous and uncertain quality
This paper studies the problem of estimation from relative measurements ...
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Enhancing Predicate Pairing with Abstraction for Relational Verification
Relational verification is a technique that aims at proving properties t...
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Predicate Pairing for Program Verification
It is well-known that the verification of partial correctness properties...
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Design and Optimisation of the FlyFast Front-end for Attribute-based Coordination
Collective Adaptive Systems (CAS) consist of a large number of interacti...
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Solution of linear ill-posed problems by model selection and aggregation
We consider a general statistical linear inverse problem, where the solu...
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On the geometrical properties of the coherent matching distance in 2D persistent homology
In this paper we study a new metric for comparing Betti numbers function...
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Performance Analysis of a Device-to-Device Offloading Scheme in a Vehicular Network Environment
We consider a scheme for offloading the delivery of contents to mobile d...
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A large deviation approach to super-critical bootstrap percolation on the random graph G_n,p
We consider the Erdös--Rényi random graph G_n,p and we analyze the simpl...
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PlayeRank: Multi-dimensional and role-aware rating of soccer player performance
The problem of rating the performance of soccer players is attracting th...
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Prediction of next career moves from scientific profiles
Changing institution is a scientist's key career decision, which plays a...
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