
GANs for Urban Design
Development and diffusion of machine learning and big data tools provide...
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Augmented Replay Memory in Reinforcement Learning With Continuous Control
Online reinforcement learning agents are currently able to process an in...
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Attention Mechanisms for Object Recognition with EventBased Cameras
Eventbased cameras are neuromorphic sensors capable of efficiently enco...
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On the bias of Hscores for comparing biclusters, and how to correct it
In the last two decades several biclustering methods have been developed...
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Deep Learning for Time Series Forecasting: The Electric Load Case
Management and efficient operations in critical infrastructure such as S...
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Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
Deep learning techniques have become the method of choice for researcher...
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Dense 3D Visual Mapping via Semantic Simplification
Dense 3D visual mapping estimates as many as possible pixel depths, for ...
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Scenario optimization with relaxation: a new tool for design and application to machine learning problems
Scenario optimization is by now a well established technique to perform ...
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CostSensitive Approach to Batch Size Adaptation for Gradient Descent
In this paper, we propose a novel approach to automatically determine th...
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Computational Results for ExtensiveForm Adversarial Team Games
We provide, to the best of our knowledge, the first computational study ...
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Methods for finding leaderfollower equilibria with multiple followers
The concept of leaderfollower (or Stackelberg) equilibrium plays a cen...
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Viral Search algorithm
The article, after a brief introduction on genetic algorithms and their ...
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A guide to convolution arithmetic for deep learning
We introduce a guide to help deep learning practitioners understand and ...
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Determination of the edge of criticality in echo state networks through Fisher information maximization
It is a widely accepted fact that the computational capability of recurr...
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Concept Drift and Anomaly Detection in Graph Streams
Graph representations offer powerful and intuitive ways to describe data...
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A Solution for Crime Scene Reconstruction using TimeofFlight Cameras
In this work, we propose a method for threedimensional (3D) reconstruct...
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Teammaxmin equilibrium: efficiency bounds and algorithms
The Teammaxmin equilibrium prescribes the optimal strategies for a team...
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Convergence of the ForwardBackward Algorithm: Beyond the Worst Case with the Help of Geometry
We provide a comprehensive study of the convergence of forwardbackward ...
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Multiresource defensive strategies for patrolling games with alarm systems
Security Games employ game theoretical tools to derive resource allocati...
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Unimodal Thompson Sampling for GraphStructured Arms
We study, to the best of our knowledge, the first Bayesian algorithm for...
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Multiobjective Reinforcement Learning with Continuous Pareto Frontier Approximation Supplementary Material
This document contains supplementary material for the paper "Multiobjec...
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Robust Moving Objects Detection in Lidar Data Exploiting Visual Cues
Detecting moving objects in dynamic scenes from sequences of lidar scans...
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Reduced Memory Region Based Deep Convolutional Neural Network Detection
Accurate pedestrian detection has a primary role in automotive safety: f...
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Simulated Car Racing Championship: Competition Software Manual
This manual describes the competition software for the Simulated Car Rac...
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Automatic 3D Reconstruction of Manifold Meshes via Delaunay Triangulation and Mesh Sweeping
In this paper we propose a new approach to incrementally initialize a ma...
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Incremental Reconstruction of Urban Environments by EdgePoints Delaunay Triangulation
Urban reconstruction from a video captured by a surveying vehicle consti...
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Oneclass classifiers based on entropic spanning graphs
Oneclass classifiers offer valuable tools to assess the presence of out...
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First Steps Toward Camera Model Identification with Convolutional Neural Networks
Detecting the camera model used to shoot a picture enables to solve a wi...
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Deep convolutional neural networks for pedestrian detection
Pedestrian detection is a popular research topic due to its paramount im...
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Transfer from Multiple MDPs
Transfer reinforcement learning (RL) methods leverage on the experience ...
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Efficient moving point handling for incremental 3D manifold reconstruction
As incremental Structure from Motion algorithms become effective, a good...
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SemiSupervised InformationMaximization Clustering
Semisupervised clustering aims to introduce prior knowledge in the deci...
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Learning Sets with Separating Kernels
We consider the problem of learning a set from random samples. We show h...
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Vcycle multigrid algorithms for discontinuous Galerkin methods on nonnested polytopic meshes
In this paper we analyse the convergence properties of Vcycle multigrid...
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SumRate Analysis for High Altitude Platform (HAP) Drones with Tethered Balloon Relay
High altitude platform (HAP) drones can provide broadband wireless conne...
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Current Challenges and Visions in Music Recommender Systems Research
Music recommender systems (MRS) have experienced a boom in recent years,...
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A fully semiLagrangian discretization for the 2D NavierStokes equations in the vorticitystreamfunction formulation
A numerical method for the twodimensional, incompressible NavierStoke...
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On the "persistency" of scientific publications: introducing an hindex for journals
What do we really mean by a "good" scientific journal? Do we care more a...
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Using MiseEnScène Visual Features based on MPEG7 and Deep Learning for Movie Recommendation
Item features play an important role in movie recommender systems, where...
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Quality Control in Crowdsourcing: A Survey of Quality Attributes, Assessment Techniques and Assurance Actions
Crowdsourcing enables one to leverage on the intelligence and wisdom of ...
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Realtime CPUbased largescale 3D mesh reconstruction
In Robotics, especially in this era of autonomous driving, mapping is on...
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VirtualMobileCore Placement for Metro Network
Traditional highlycentralized mobile core networks (e.g., Evolved Packe...
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A NextBestSmell Approach for Remote Gas Detection with a Mobile Robot
The problem of gas detection is relevant to many realworld applications...
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LEDAkem: a postquantum key encapsulation mechanism based on QCLDPC codes
This work presents a new codebased key encapsulation mechanism (KEM) ca...
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High order time integrators for the simulation of charged particle motion in magnetic quadrupoles
Magnetic quadrupoles are essential components of particle accelerators l...
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SequenceAware Recommender Systems
Recommender systems are one of the most successful applications of data ...
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Limiting gaming opportunities on incentivebased demand response programs
Demand Response (DR) is a program designed to match supply and demand by...
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Discovering Bayesian Market Views for Intelligent Asset Allocation
Along with the advance of opinion mining techniques, public mood has bee...
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A Survey on Application of Machine Learning Techniques in Optical Networks
Today, the amount of data that can be retrieved from communications netw...
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On the Computation of KantorovichWasserstein Distances between 2DHistograms by Uncapacitated Minimum Cost Flows
In this work, we present a method to compute the Kantorovich distance, t...
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