Programma dettagliato dell’edizione 2022 di ISTI DAY(s) (che si svolgerà in connessione remota e su due giornate)

• Versione scaricabile (PDF);
• Link Zoom (la password verrà comunicata tramite email qualche ora prima dell’inizio del meeting);

Programma:

Giorno 1: 8 Novembre, 2022

• Opening

  14:00 - 14:10

  Coordinatori ISTI-Day

• Intervento del Direttore DIITET

  14:10 - 14:30

  Emilio F. Campana (Direttore DIITET)

• Tavola rotonda: Ricerca informatica e trasferimento tecnologico: quale ruolo del CNR nei processi di innovazione?

  14:30 - 15:15

  Leo Gizzi (INO-CNR, referente rapporti con industria per Area Ricerca Pisa), Alberto Messina (Head of R&I Unit on TV Production presso Rai), Patrizia Alma Pacini (Presidente Unione Industriale Pisana), Andrea Piccaluga (Direttore Institute of Management S.S.S.Anna), Modera: Fabrizio Falchi (ISTI-CNR).

• Intervento del Direttore

  15:15 - 15:35

  Roberto Scopigno (Direttore ISTI)

• Poster Fast Forward (1 minute speech for each poster)

  15:35 - 15:45

• Break & Poster Session I

  15:45 - 16:15

• Scientific Talks I

  16:15 - 17:35

  • A Journey towards a Deep-learning based Efficient No-Reference Image Quality Evaluation

    Francesco Banterle

    #Deep Learnin #Image Processing #Image Quality Assessment

  • Gross polluters and vehicle emissions reduction

    Matteo Bohm

    #HumanMobility #UrbanAnalytics #ClimateChange

  • Injecting Transactions in RESTful Services

    Luca Frosini

    #ServiceOrientedComputing #RESTfulwebservices #RESTfultransactionmodel

  • Distilled Neural Networks for Efficient Learning to Rank

    Cosimo Rulli

    #learningtorank #efficiency #neuralnetworks

• Closing

  17:35 - 17:40

Giorno 2: 15 Novembre, 2022

• Opening

  14:00 - 14:10

  Coordinatori ISTI-Day

• ISTI Awards Ceremony

  14:10 - 14:20

  Franco Maria Nardini

• Scientific Talks II

  14:20 - 15:40

  • Transparency of Automatic Web Accessibility Evaluation Tools

    Marco Manca

    #Accessibility-Automatic Validation #Tools-Transparency

  • Quadmixer and SkinMixer: Composing Professional 3D Assets

    Stefano Nuvoli

    #GeometryProcessing #ComputerGraphics #ComputerAnimation

  • Topological Data Analysis & Machine Learning

    Maria Antonietta Pascali

    #topologicalmachinelearning #persistenthomology #classification

  • Ensemble Model Compression for Fast and Energy-Efficient Ranking on FPGAs

    Salvatore Trani

    #LearningToRank #FPGA #EfficientInference

• Poster Fast Forward (1 minute speech for each poster)

  15:40 - 15:50

• Break & Poster Session II

  15:50 - 16:20

• Scientific Talks III

  16:20 - 17:40

  • Understanding the impact of explanations on advice-taking: a user study for AI-based clinical Decision Support Systems

    Andrea Beretta

    #ExplainableAI #Advice-taking #ClinicalDecisionSupportSystem

  • Unobtrusive Machine Learning for Text Classification

    Andrea Esuli

    #MachineLearning #TextLearning

  • How do requirements evolve during elicitation? An empirical study combining interviews and app store analysis

    Alessio Ferrari

    #requirementsEngineering #interviews #appStore

  • Open Science and open scientometrics. A transition in the making.

    Andrea Mannocci

    #scientometrics #openscience #datascience

• Closing

  17:40 - 17:50