Politecnico di Milano

research

∙ 05/04/2021

GANs for Urban Design

Development and diffusion of machine learning and big data tools provide...

Stanislava Fedorova, et al. ∙

research

∙ 12/29/2019

Augmented Replay Memory in Reinforcement Learning With Continuous Control

Online reinforcement learning agents are currently able to process an in...

Mirza Ramicic, et al. ∙

research

∙ 05/02/2022

DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data

Gravitational lensing is the relativistic effect generated by massive bo...

Nicolò Oreste Pinciroli Vago, et al. ∙

research

∙ 11/16/2021

Graph neural network-based fault diagnosis: a review

Graph neural network (GNN)-based fault diagnosis (FD) has received incre...

Zhiwen Chen, et al. ∙

research

∙ 07/25/2018

Attention Mechanisms for Object Recognition with Event-Based Cameras

Event-based cameras are neuromorphic sensors capable of efficiently enco...

Marco Cannici, et al. ∙

research

∙ 07/24/2019

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...

Jacopo Di Iorio, et al. ∙

research

∙ 07/22/2019

Deep Learning for Time Series Forecasting: The Electric Load Case

Management and efficient operations in critical infrastructure such as S...

Alberto Gasparin, et al. ∙

research

∙ 07/16/2019

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...

Maurizio Ferrari Dacrema, et al. ∙

research

∙ 02/20/2019

Dense 3D Visual Mapping via Semantic Simplification

Dense 3D visual mapping estimates as many as possible pixel depths, for ...

Luca Morreale, et al. ∙

research

∙ 07/10/2019

Towards Affordance Prediction with Vision via Task Oriented Grasp Quality Metrics

While many quality metrics exist to evaluate the quality of a grasp by i...

Luca Cavalli, et al. ∙

research

∙ 04/13/2020

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 ...

Marco C. Campi, et al. ∙

research

∙ 01/07/2022

Amplitude SAR Imagery Splicing Localization

Synthetic Aperture Radar (SAR) images are a valuable asset for a wide va...

Edoardo Daniele Cannas, et al. ∙

research

∙ 08/05/2022

Multi-fidelity surrogate modeling using long short-term memory networks

When evaluating quantities of interest that depend on the solutions to d...

Paolo Conti, et al. ∙

research

∙ 12/09/2017

Cost-Sensitive Approach to Batch Size Adaptation for Gradient Descent

In this paper, we propose a novel approach to automatically determine th...

Matteo Pirotta, et al. ∙

research

∙ 11/18/2017

Computational Results for Extensive-Form Adversarial Team Games

We provide, to the best of our knowledge, the first computational study ...

Andrea Celli, et al. ∙

research

∙ 07/07/2017

Methods for finding leader--follower equilibria with multiple followers

The concept of leader--follower (or Stackelberg) equilibrium plays a cen...

Nicola Basilico, et al. ∙

research

∙ 06/14/2016

Viral Search algorithm

The article, after a brief introduction on genetic algorithms and their ...

Matteo Gardini, et al. ∙

research

∙ 03/23/2016

A guide to convolution arithmetic for deep learning

We introduce a guide to help deep learning practitioners understand and ...

Vincent Dumoulin, et al. ∙

research

∙ 03/11/2016

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...

Lorenzo Livi, et al. ∙

research

∙ 06/21/2017

Concept Drift and Anomaly Detection in Graph Streams

Graph representations offer powerful and intuitive ways to describe data...

Daniele Zambon, et al. ∙

research

∙ 08/07/2017

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

In this work, we propose a method for three-dimensional (3D) reconstruct...

Silvio Giancola, et al. ∙

research

∙ 11/18/2016

Team-maxmin equilibrium: efficiency bounds and algorithms

The Team-maxmin equilibrium prescribes the optimal strategies for a team...

Nicola Basilico, et al. ∙

research

∙ 03/28/2017

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 ...

Guillaume Garrigos, et al. ∙

research

∙ 06/07/2016

Multi-resource defensive strategies for patrolling games with alarm systems

Security Games employ game theoretical tools to derive resource allocati...

Nicola Basilico, et al. ∙

research

∙ 11/17/2016

Unimodal Thompson Sampling for Graph-Structured Arms

We study, to the best of our knowledge, the first Bayesian algorithm for...

Stefano Paladino, et al. ∙

research

∙ 06/13/2014

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

This document contains supplementary material for the paper "Multi-objec...

Matteo Pirotta, et al. ∙

research

∙ 09/29/2016

Robust Moving Objects Detection in Lidar Data Exploiting Visual Cues

Detecting moving objects in dynamic scenes from sequences of lidar scans...

Gheorghii Postica, et al. ∙

research

∙ 09/08/2016

Reduced Memory Region Based Deep Convolutional Neural Network Detection

Accurate pedestrian detection has a primary role in automotive safety: f...

Denis Tome, et al. ∙

research

∙ 04/05/2013

Simulated Car Racing Championship: Competition Software Manual

This manual describes the competition software for the Simulated Car Rac...

Daniele Loiacono, et al. ∙

research

∙ 04/21/2016

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...

Andrea Romanoni, et al. ∙

research

∙ 04/21/2016

Incremental Reconstruction of Urban Environments by Edge-Points Delaunay Triangulation

Urban reconstruction from a video captured by a surveying vehicle consti...

Andrea Romanoni, et al. ∙

research

∙ 04/08/2016

One-class classifiers based on entropic spanning graphs

One-class classifiers offer valuable tools to assess the presence of out...

Lorenzo Livi, et al. ∙

research

∙ 03/03/2016

First Steps Toward Camera Model Identification with Convolutional Neural Networks

Detecting the camera model used to shoot a picture enables to solve a wi...

Luca Bondi, et al. ∙

research

∙ 10/13/2015

Deep convolutional neural networks for pedestrian detection

Pedestrian detection is a popular research topic due to its paramount im...

Denis Tome, et al. ∙

research

∙ 08/31/2011

Transfer from Multiple MDPs

Transfer reinforcement learning (RL) methods leverage on the experience ...

Alessandro Lazaric, et al. ∙

research

∙ 07/20/2015

Efficient moving point handling for incremental 3D manifold reconstruction

As incremental Structure from Motion algorithms become effective, a good...

Andrea Romanoni, et al. ∙

research

∙ 04/30/2013

Semi-Supervised Information-Maximization Clustering

Semi-supervised clustering aims to introduce prior knowledge in the deci...

Daniele Calandriello, et al. ∙

research

∙ 04/16/2012

Learning Sets with Separating Kernels

We consider the problem of learning a set from random samples. We show h...

Ernesto De Vito, et al. ∙

research

∙ 09/26/2017

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...

P. F. Antonietti, et al. ∙

research

∙ 12/18/2017

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

High altitude platform (HAP) drones can provide broadband wireless conne...

P. G. Sudheesh, et al. ∙

research

∙ 10/09/2017

Current Challenges and Visions in Music Recommender Systems Research

Music recommender systems (MRS) have experienced a boom in recent years,...

Markus Schedl, et al. ∙

research

∙ 06/10/2017

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...

Luca Bonaventura, et al. ∙

research

∙ 05/23/2017

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...

Roberto Piazza, et al. ∙

research

∙ 04/20/2017

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...

Yashar Deldjoo, et al. ∙

research

∙ 01/08/2018

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 ...

Florian Daniel, et al. ∙

research

∙ 01/16/2018

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

In Robotics, especially in this era of autonomous driving, mapping is on...

Enrico Piazza, et al. ∙

research

∙ 01/17/2018

Virtual-Mobile-Core Placement for Metro Network

Traditional highly-centralized mobile core networks (e.g., Evolved Packe...

Abhishek Gupta, et al. ∙

research

∙ 01/21/2018

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...

Riccardo Polvara, et al. ∙

research

∙ 01/26/2018

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

This work presents a new code-based key encapsulation mechanism (KEM) ca...

Marco Baldi, et al. ∙

research

∙ 02/22/2018

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

Magnetic quadrupoles are essential components of particle accelerators l...

Abele Simona, et al. ∙

Politecnico di Milano

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