Politecnico di Torino

research

∙ 04/09/2021

Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques

Extra virgin olive oil (EVOO) is the highest quality of olive oil and is...

Francesca Venturini, et al. ∙

research

∙ 05/27/2022

Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers

Random Forests (RFs) are widely used Machine Learning models in low-powe...

Francesco Daghero, et al. ∙

research

∙ 04/21/2020

Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition

Unsupervised Domain Adaptation (DA) exploits the supervision of a label-...

Mohammad Reza Loghmani, et al. ∙

research

∙ 03/24/2022

Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices

Hearth Rate (HR) monitoring is increasingly performed in wrist-worn devi...

Alessio Burrello, et al. ∙

research

∙ 03/28/2022

Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks

Temporal Convolutional Networks (TCNs) are promising Deep Learning model...

Matteo Risso, et al. ∙

research

∙ 06/17/2022

Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes

Quantization is widely employed in both cloud and edge systems to reduce...

Matteo Risso, et al. ∙

research

∙ 02/04/2019

SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples?

Recently, many adversarial examples have emerged for Deep Neural Network...

Alberto Marchisio, et al. ∙

research

∙ 08/07/2021

Vision Transformers for femur fracture classification

Objectives: In recent years, the scientific community has focused on the...

Leonardo Tanzi, et al. ∙

research

∙ 12/10/2021

Marvin: Innovative Omni-Directional Robotic Assistant for Domestic Environments

Technology is progressively reshaping the domestic environment as we kno...

Andrea Eirale, et al. ∙

research

∙ 03/07/2022

Dynamic ConvNets on Tiny Devices via Nested Sparsity

This work introduces a new training and compression pipeline to build Ne...

Matteo Grimaldi, et al. ∙

research

∙ 03/24/2022

Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition

Human-machine interaction is gaining traction in rehabilitation tasks, s...

Alessio Burrello, et al. ∙

research

∙ 04/07/2022

Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence

Energy-efficient machine learning models that can run directly on edge d...

Francesco Daghero, et al. ∙

research

∙ 06/01/2022

Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks

Neural Architecture Search (NAS) is increasingly popular to automaticall...

Matteo Risso, et al. ∙

research

∙ 09/01/2021

R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors

Spiking Neural Networks (SNNs) aim at providing energy-efficient learnin...

Alberto Marchisio, et al. ∙

research

∙ 07/03/2019

Benchmarking unsupervised near-duplicate image detection

Unsupervised near-duplicate detection has many practical applications ra...

Lia Morra, et al. ∙

research

∙ 03/24/2022

TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference

Temporal Convolutional Networks (TCNs) are emerging lightweight Deep Lea...

Alessio Burrello, et al. ∙

research

∙ 09/03/2021

A brief history of AI: how to prevent another winter (a critical review)

The field of artificial intelligence (AI), regarded as one of the most e...

Amirhosein Toosi, et al. ∙

research

∙ 11/06/2016

Entropy-SGD: Biasing Gradient Descent Into Wide Valleys

This paper proposes a new optimization algorithm called Entropy-SGD for ...

Pratik Chaudhari, et al. ∙

research

∙ 12/13/2016

Memcomputing Numerical Inversion with Self-Organizing Logic Gates

We propose to use Digital Memcomputing Machines (DMMs), implemented with...

Haik Manukian, et al. ∙

research

∙ 02/07/2017

Extracting Lifted Mutual Exclusion Invariants from Temporal Planning Domains

We present a technique for automatically extracting mutual exclusion inv...

Sara Bernardini, et al. ∙

research

∙ 05/05/2014

Universal Memcomputing Machines

We introduce the notion of universal memcomputing machines (UMMs): a cla...

Fabio L. Traversa, et al. ∙

research

∙ 07/07/2017

GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring

Compressive sensing promises to enable bandwidth-efficient on-board comp...

Attilio Fiandrotti, et al. ∙

research

∙ 02/24/2014

A hybrid swarm-based algorithm for single-objective optimization problems involving high-cost analyses

In many technical fields, single-objective optimization procedures in co...

Enrico Ampellio, et al. ∙

research

∙ 11/15/2016

Multilinear Low-Rank Tensors on Graphs & Applications

We propose a new framework for the analysis of low-rank tensors which li...

Nauman Shahid, et al. ∙

research

∙ 12/08/2016

A fuzzy approach for segmentation of touching characters

The problem of correctly segmenting touching characters is an hard task ...

Giuseppe Airò Farulla, et al. ∙

research

∙ 02/04/2016

Discovering Neuronal Cell Types and Their Gene Expression Profiles Using a Spatial Point Process Mixture Model

Cataloging the neuronal cell types that comprise circuitry of individual...

Furong Huang, et al. ∙

research

∙ 10/12/2016

Fast Training of Convolutional Neural Networks via Kernel Rescaling

Training deep Convolutional Neural Networks (CNN) is a time consuming ta...

Pedro Porto Buarque de Gusmão, et al. ∙

research

∙ 04/20/2011

Palette-colouring: a belief-propagation approach

We consider a variation of the prototype combinatorial-optimisation prob...

Alessandro Pelizzola, et al. ∙

research

∙ 10/04/2013

A Novel Progressive Image Scanning and Reconstruction Scheme based on Compressed Sensing and Linear Prediction

Compressed sensing (CS) is an innovative technique allowing to represent...

Giulio Coluccia, et al. ∙

research

∙ 10/04/2013

Spatially Scalable Compressed Image Sensing with Hybrid Transform and Inter-layer Prediction Model

Compressive imaging is an emerging application of compressed sensing, de...

Diego Valsesia, et al. ∙

research

∙ 12/19/2017

The cavity approach for Steiner trees Packing problems

The Belief Propagation approximation, or cavity method, has been recentl...

Alfredo Braunstein, et al. ∙

research

∙ 12/02/2015

TinyLFU: A Highly Efficient Cache Admission Policy

This paper proposes to use a frequency based cache admission policy in o...

Gil Einziger, et al. ∙

research

∙ 09/28/2017

Content Recommendation through Semantic Annotation of User Reviews and Linked Data - An Extended Technical Report

Nowadays, most recommender systems exploit user-provided ratings to infe...

Iacopo Vagliano, et al. ∙

research

∙ 06/20/2017

A Perturbation Scheme for Passivity Verification and Enforcement of Parameterized Macromodels

This paper presents an algorithm for checking and enforcing passivity of...

Stefano Grivet-Talocia, et al. ∙

research

∙ 07/24/2017

Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding Based Peer-to-Peer Live Streaming

Network coding based peer-to-peer streaming represents an effective solu...

Attilio Fiandrotti, et al. ∙

research

∙ 06/15/2017

Foveated Video Streaming for Cloud Gaming

Good user experience with interactive cloud-based multimedia application...

Gazi Illahi, et al. ∙

research

∙ 01/02/2018

Unions of Orthogonal Arrays and their aberrations via Hilbert bases

We generate all the Orthogonal Arrays (OAs) of a given size n and streng...

Roberto Fontana, et al. ∙

research

∙ 01/07/2018

Convex Relaxations for Pose Graph Optimization with Outliers

Pose Graph Optimization involves the estimation of a set of poses from p...

Luca Carlone, et al. ∙

research

∙ 01/10/2018

Task parallel implementation of a solver for electromagnetic scattering problems

Electromagnetic computations, where the wavelength is small in relation ...

Afshin Zafari, et al. ∙

research

∙ 01/15/2018

Approximating the Incremental Knapsack Problem

We consider the 0-1 Incremental Knapsack Problem (IKP) where the capacit...

Federico Della Croce, et al. ∙

research

∙ 01/16/2018

Longest Processing Time rule for identical parallel machines revisited

We consider the Pm || Cmax scheduling problem where the goal is to sched...

Federico Della Croce, et al. ∙

research

∙ 02/02/2018

A Multi-Kernel Multi-Code Polar Decoder Architecture

Polar codes have received increasing attention in the past decade, and h...

Gabriele Coppolino, et al. ∙

research

∙ 02/06/2018

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...

Giovanni Luca Torrisi, et al. ∙

research

∙ 02/24/2018

Improving Recall of In Situ Sequencing by Self-Learned Features and a Graphical Model

Image-based sequencing of mRNA makes it possible to see where in a tissu...

Gabriele Partel, et al. ∙

research

∙ 03/06/2018

Deep Information Networks

We describe a novel classifier with a tree structure, designed using inf...

Giulio Franzese, et al. ∙

research

∙ 04/05/2018

Integrating Software Engineering Key Practices into an OOP Massive In-Classroom Course: an Experience Report

Programming and software engineering courses in computer science curricu...

Marco Torchiano, et al. ∙

research

∙ 04/05/2018

Implicit Coordination of Caches in Small Cell Networks under Unknown Popularity Profiles

We focus on a dense cellular network, in which a limited-size cache is a...

Emilio Leonardi, et al. ∙

research

∙ 05/21/2018

Status Quo in Requirements Engineering: A Theory and a Global Family of Surveys

Requirements Engineering (RE) has established itself as a software engin...

Stefan Wagner, et al. ∙

research

∙ 06/07/2018

Code Design for Non-Coherent Detection of Frame Headers in Precoded Satellite Systems

In this paper we propose a simple method for generating binary short-len...

Farbod Kayhan, et al. ∙

research

∙ 06/19/2018

You, the Web and Your Device: Longitudinal Characterization of Browsing Habits

Understanding how people interact with the web is key for a variety of a...

Luca Vassio, et al. ∙

Politecnico di Torino

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