BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:ENBIS Workshop: Interpretability for Industry 4.0 DTSTART:20210712T070000Z DTEND:20210713T103000Z DTSTAMP:20260809T065700Z UID:indico-event-8@conferences.enbis.org DESCRIPTION:Speakers: Biagio Palumbo (University of Naples Federico II)\, Jean-Michel Poggi (University of Paris-Saclay\, Orsay\, France)\, Antonio Lepore (University of Naples Federico II\, Italy)\n\nA 2-day Online ENBIS Workshop\, July 12-13\, 2021\n\nInterpretability for Industry 4.0\n\nUnive rsity of Naples Federico II (Italy)\n\n\n\n\n\nObjectives\n\nInterpretabil ity is a key issue to develop insightful statistical and machine learning approaches in business and industry. \n\nThe workshop to be held in July 2 021 in Naples\, is based on 3 pillars: \n\n\n \n Explore the connections b etween machine learning tools\, sensitivity analysis and rule-based system s. \n \n \n Exploit the contribution of generalized additive models for th e development and visualization of interpretable statistical models.\n \n \n Analyze and propose monitoring tools for Additive Manufacturing (AM) sy stems.\n \n\n\nA half-day is dedicated to each topic\, and will offer deep methodological insights together with real-world industrial motivations. The academic state of the art together with the industrial motivations and motivations would be complement by related software resources or specific applications or extensions. In addition\, each half-day will end with a r ound-table providing a closing discussion challenging the different views of interpretability while addressing general issues like:\n\n\n what are t he issues and concerns of interpretability in statistical models?\n what a re the pros and cons of each approach of interpretability?\n\n\n\nCo-chair s\n\nAntonio Lepore\, University of Naples Federico II\, Italy\nBiagio Pal umbo\, University of Naples Federico II\, Italy\nJean-Michel Poggi\, Unive rsity of Paris-Saclay\, Orsay\, France\n\nAuthors/speakers list (in alphab etic order)\n\nClément Benard (Safran\, France)\nFabio Centofanti (Univer sity of Naples Federico II\, Italy)\nBianca Maria Colosimo (Politecnico di Milano\, Italy)\nSébastien Da Veiga (Safran Tech\, France)\nMatteo Fasio lo (University of Bristol\, UK)\nYannig Goude (EDF Lab\, France)\nBertrand Iooss (EDF R&D\, France)\nRon Kenett (KPA Group and Samuel Neaman Institu te\, Technion\, Israel)\nAndrea Palumbo (Avio Aero\, Cameri\, Novara\, Ita ly)\nPiercesare Secchi (Politecnico di Milano\, Italy)\nClaudia Schipani ( Avio Aero\, Cameri\, Novara\, Italy)\nErwan Scornet (Ecole Polytechnique\, France)\nSimon Wood (University of Edinburgh\, UK)\n\nFormat\n\nThe forma t is online (without fees) due to the covid-19 pandemic situation.\n\nPubl ication A book edited by Springer is already planned after the workshop.\n \nWebinar It will be possible to access the talks at another time after th e workshop through the ENBIS media center.\n\nLocal Organizing Committee c hairs: Antonio Lepore and Biagio Palumbo. \n\nContact\n\nFor further detai ls\, please contact antonio.lepore@unina.it or biagio.palumbo@unina.it or\ nJean-Michel.Poggi@math.u-psud.fr\n\nProgram\n\nEach half-day is organized according to the same schedule: \n\n90’ Talk1+Talk2 including 15’ dis cussion\n45’ Coffee break\n30’ Talk3 including 5’ discussion\n45’ Round table \n\nMonday 12/07/2021\n\nPillar 1: Interpretability via random forests\nExplore the connections between machine learning\, rule-based sy stems and sensitivity analysis.\n\n09:00 - 10:30 Sébastien Da Veiga\, Erw an Scornet: “Two approaches of interpretability: simple ML models vs bla ck-box explainability”\n\n11:15 - 11:45 Clément Bénard: “Black-box e xplainability: variable importance in random forests” \n\n11:45 - 12:30 Round table chaired by Bertrand Iooss\n\nPillar 2: Interpretability via ad ditive models\nExploit the contribution of generalized additive models for the development and visualization of interpretable statistical models.\n\ n14:00 - 15:30 Simon Wood: "Generalised additive models: interpretability via additivity"\nYannig Goude: "Interpretability of machine learning appro aches for electricity demand forecasting"\n\n16:15 - 16:45 Matteo Fasiolo: "Visual tools for additive model development and checking"\n\n16:45 - 17: 30 Round table chaired by Piercesare Secchi\n\nTuesday 13/07/2021\n\nPilla r 3: Interpretability of big data in Industry 4.0\nAnalyze and propose mon itoring tools for Additive Manufacturing (AM) systems.\n\n09:00 - 10:30 Bi anca Maria Colosimo: “In-situ data mining in Industry 4.0 - opportunitie s and challenges”\n\nAndrea Palumbo\, Claudia Schipani: “Digital for A dditive Manufacturing: the case study of Avio Aero” \n\n11:15 - 11:45 Fa bio Centofanti: “Robust functional ANOVA with application to Additive Ma nufacturing”\n\n11:45 - 12:30 Round table chaired by Ron Kenett\n\nhttps ://conferences.enbis.org/event/8/ IMAGE;VALUE=URI:https://conferences.enbis.org/event/8/logo-3755163021.png LOCATION:Online URL:https://conferences.enbis.org/event/8/ END:VEVENT END:VCALENDAR