Politecnico di Milano

∙ Milano , Italy ∙ 0 followers

This site uses cookies for statistics and to facilitate navigation on the pages of the site and web applications. More information can be found at the Privacy Policy page

GANs for Urban Design

Development and diffusion of machine learning and big data tools provide...
05/04/2021 ∙ by Stanislava Fedorova, et al. ∙ 34 ∙ share

read it
Augmented Replay Memory in Reinforcement Learning With Continuous Control

Online reinforcement learning agents are currently able to process an in...
12/29/2019 ∙ by Mirza Ramicic, et al. ∙ 13 ∙ share

read it
Attention Mechanisms for Object Recognition with Event-Based Cameras

Event-based cameras are neuromorphic sensors capable of efficiently enco...
07/25/2018 ∙ by Marco Cannici, et al. ∙ 6 ∙ share

read it
On the bias of H-scores for comparing biclusters, and how to correct it

In the last two decades several biclustering methods have been developed...
07/24/2019 ∙ by Jacopo Di Iorio, et al. ∙ 6 ∙ share

read it
Deep Learning for Time Series Forecasting: The Electric Load Case

Management and efficient operations in critical infrastructure such as S...
07/22/2019 ∙ by Alberto Gasparin, et al. ∙ 5 ∙ share

read it
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...
07/16/2019 ∙ by Maurizio Ferrari Dacrema, et al. ∙ 4 ∙ share

read it
Dense 3D Visual Mapping via Semantic Simplification

Dense 3D visual mapping estimates as many as possible pixel depths, for ...
02/20/2019 ∙ by Luca Morreale, et al. ∙ 2 ∙ share

read it
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 ...
04/13/2020 ∙ by Marco C. Campi, et al. ∙ 1 ∙ share

read it
Cost-Sensitive Approach to Batch Size Adaptation for Gradient Descent

In this paper, we propose a novel approach to automatically determine th...
12/09/2017 ∙ by Matteo Pirotta, et al. ∙ 0 ∙ share

read it
Computational Results for Extensive-Form Adversarial Team Games

We provide, to the best of our knowledge, the first computational study ...
11/18/2017 ∙ by Andrea Celli, et al. ∙ 0 ∙ share

read it
Methods for finding leader--follower equilibria with multiple followers

The concept of leader--follower (or Stackelberg) equilibrium plays a cen...
07/07/2017 ∙ by Nicola Basilico, et al. ∙ 0 ∙ share

read it
Viral Search algorithm

The article, after a brief introduction on genetic algorithms and their ...
06/14/2016 ∙ by Matteo Gardini, et al. ∙ 0 ∙ share

read it
A guide to convolution arithmetic for deep learning

We introduce a guide to help deep learning practitioners understand and ...
03/23/2016 ∙ by Vincent Dumoulin, et al. ∙ 0 ∙ share

read it
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...
03/11/2016 ∙ by Lorenzo Livi, et al. ∙ 0 ∙ share

read it
Concept Drift and Anomaly Detection in Graph Streams

Graph representations offer powerful and intuitive ways to describe data...
06/21/2017 ∙ by Daniele Zambon, et al. ∙ 0 ∙ share

read it
A Solution for Crime Scene Reconstruction using Time-of-Flight Cameras

In this work, we propose a method for three-dimensional (3D) reconstruct...
08/07/2017 ∙ by Silvio Giancola, et al. ∙ 0 ∙ share

read it
Team-maxmin equilibrium: efficiency bounds and algorithms

The Team-maxmin equilibrium prescribes the optimal strategies for a team...
11/18/2016 ∙ by Nicola Basilico, et al. ∙ 0 ∙ share

read it
Convergence of the Forward-Backward Algorithm: Beyond the Worst Case with the Help of Geometry

We provide a comprehensive study of the convergence of forward-backward ...
03/28/2017 ∙ by Guillaume Garrigos, et al. ∙ 0 ∙ share

read it
Multi-resource defensive strategies for patrolling games with alarm systems

Security Games employ game theoretical tools to derive resource allocati...
06/07/2016 ∙ by Nicola Basilico, et al. ∙ 0 ∙ share

read it
Unimodal Thompson Sampling for Graph-Structured Arms

We study, to the best of our knowledge, the first Bayesian algorithm for...
11/17/2016 ∙ by Stefano Paladino, et al. ∙ 0 ∙ share

read it
Multi-objective Reinforcement Learning with Continuous Pareto Frontier Approximation Supplementary Material

This document contains supplementary material for the paper "Multi-objec...
06/13/2014 ∙ by Matteo Pirotta, et al. ∙ 0 ∙ share

read it
Robust Moving Objects Detection in Lidar Data Exploiting Visual Cues

Detecting moving objects in dynamic scenes from sequences of lidar scans...
09/29/2016 ∙ by Gheorghii Postica, et al. ∙ 0 ∙ share

read it
Reduced Memory Region Based Deep Convolutional Neural Network Detection

Accurate pedestrian detection has a primary role in automotive safety: f...
09/08/2016 ∙ by Denis Tome, et al. ∙ 0 ∙ share

read it
Simulated Car Racing Championship: Competition Software Manual

This manual describes the competition software for the Simulated Car Rac...
04/05/2013 ∙ by Daniele Loiacono, et al. ∙ 0 ∙ share

read it
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...
04/21/2016 ∙ by Andrea Romanoni, et al. ∙ 0 ∙ share

read it
Incremental Reconstruction of Urban Environments by Edge-Points Delaunay Triangulation

Urban reconstruction from a video captured by a surveying vehicle consti...
04/21/2016 ∙ by Andrea Romanoni, et al. ∙ 0 ∙ share

read it
One-class classifiers based on entropic spanning graphs

One-class classifiers offer valuable tools to assess the presence of out...
04/08/2016 ∙ by Lorenzo Livi, et al. ∙ 0 ∙ share

read it
First Steps Toward Camera Model Identification with Convolutional Neural Networks

Detecting the camera model used to shoot a picture enables to solve a wi...
03/03/2016 ∙ by Luca Bondi, et al. ∙ 0 ∙ share

read it
Deep convolutional neural networks for pedestrian detection

Pedestrian detection is a popular research topic due to its paramount im...
10/13/2015 ∙ by Denis Tome, et al. ∙ 0 ∙ share

read it
Transfer from Multiple MDPs

Transfer reinforcement learning (RL) methods leverage on the experience ...
08/31/2011 ∙ by Alessandro Lazaric, et al. ∙ 0 ∙ share

read it
Efficient moving point handling for incremental 3D manifold reconstruction

As incremental Structure from Motion algorithms become effective, a good...
07/20/2015 ∙ by Andrea Romanoni, et al. ∙ 0 ∙ share

read it
Semi-Supervised Information-Maximization Clustering

Semi-supervised clustering aims to introduce prior knowledge in the deci...
04/30/2013 ∙ by Daniele Calandriello, et al. ∙ 0 ∙ share

read it
Learning Sets with Separating Kernels

We consider the problem of learning a set from random samples. We show h...
04/16/2012 ∙ by Ernesto De Vito, et al. ∙ 0 ∙ share

read it
V-cycle multigrid algorithms for discontinuous Galerkin methods on non-nested polytopic meshes

In this paper we analyse the convergence properties of V-cycle multigrid...
09/26/2017 ∙ by P. F. Antonietti, et al. ∙ 0 ∙ share

read it
Sum-Rate Analysis for High Altitude Platform (HAP) Drones with Tethered Balloon Relay

High altitude platform (HAP) drones can provide broadband wireless conne...
12/18/2017 ∙ by P. G. Sudheesh, et al. ∙ 0 ∙ share

read it
Current Challenges and Visions in Music Recommender Systems Research

Music recommender systems (MRS) have experienced a boom in recent years,...
10/09/2017 ∙ by Markus Schedl, et al. ∙ 0 ∙ share

read it
A fully semi-Lagrangian discretization for the 2D Navier--Stokes equations in the vorticity--streamfunction formulation

A numerical method for the two-dimensional, incompressible Navier--Stoke...
06/10/2017 ∙ by Luca Bonaventura, et al. ∙ 0 ∙ share

read it
On the "persistency" of scientific publications: introducing an h-index for journals

What do we really mean by a "good" scientific journal? Do we care more a...
05/23/2017 ∙ by Roberto Piazza, et al. ∙ 0 ∙ share

read it
Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation

Item features play an important role in movie recommender systems, where...
04/20/2017 ∙ by Yashar Deldjoo, et al. ∙ 0 ∙ share

read it
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 ...
01/08/2018 ∙ by Florian Daniel, et al. ∙ 0 ∙ share

read it
Real-time CPU-based large-scale 3D mesh reconstruction

In Robotics, especially in this era of autonomous driving, mapping is on...
01/16/2018 ∙ by Enrico Piazza, et al. ∙ 0 ∙ share

read it
Virtual-Mobile-Core Placement for Metro Network

Traditional highly-centralized mobile core networks (e.g., Evolved Packe...
01/17/2018 ∙ by Abhishek Gupta, et al. ∙ 0 ∙ share

read it
A Next-Best-Smell Approach for Remote Gas Detection with a Mobile Robot

The problem of gas detection is relevant to many real-world applications...
01/21/2018 ∙ by Riccardo Polvara, et al. ∙ 0 ∙ share

read it
LEDAkem: a post-quantum key encapsulation mechanism based on QC-LDPC codes

This work presents a new code-based key encapsulation mechanism (KEM) ca...
01/26/2018 ∙ by Marco Baldi, et al. ∙ 0 ∙ share

read it
High order time integrators for the simulation of charged particle motion in magnetic quadrupoles

Magnetic quadrupoles are essential components of particle accelerators l...
02/22/2018 ∙ by Abele Simona, et al. ∙ 0 ∙ share

read it
Sequence-Aware Recommender Systems

Recommender systems are one of the most successful applications of data ...
02/23/2018 ∙ by Massimo Quadrana, et al. ∙ 0 ∙ share

read it
Limiting gaming opportunities on incentive-based demand response programs

Demand Response (DR) is a program designed to match supply and demand by...
02/23/2018 ∙ by José Vuelvas, et al. ∙ 0 ∙ share

read it
Discovering Bayesian Market Views for Intelligent Asset Allocation

Along with the advance of opinion mining techniques, public mood has bee...
02/27/2018 ∙ by Frank Z. Xing, et al. ∙ 0 ∙ share

read it
A Survey on Application of Machine Learning Techniques in Optical Networks

Today, the amount of data that can be retrieved from communications netw...
03/21/2018 ∙ by Francesco Musumeci, et al. ∙ 0 ∙ share

read it
On the Computation of Kantorovich-Wasserstein Distances between 2D-Histograms by Uncapacitated Minimum Cost Flows

In this work, we present a method to compute the Kantorovich distance, t...
04/02/2018 ∙ by Federico Bassetti, et al. ∙ 0 ∙ share

read it

Politecnico di Milano

Featured Researchers