TITLE: EXPLAIN 4.0: DEVELOPMENT OF INTERPRETABLE ARTIFICIAL INTELLIGENCE SOLUTIONS FOR INDUSTRY 4.0 (Q4242250): Difference between revisions
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(Changed label, description and/or aliases in en, and other parts: Adding English translations) |
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TITLE: EXPLAIN 4.0: DEVELOPMENT OF INTERPRETABLE ARTIFICIAL INTELLIGENCE SOLUTIONS FOR INDUSTRY 4.0 | |||||||||||||||
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EXPLAIN 4.0 AIMS TO DEVELOP DECISION SUPPORT SYSTEMS (SSDS) BASED ON MACHINE LEARNING TECHNIQUES (ML) INTERPRETABLE FOR INDUSTRY 4.0. ONE OF THE BIGGEST REEFS FOR THE DISSEMINATION OF ML-BASED SOLUTIONS IN INDUSTRY (AND NOT) IS THE LACK OF CONFIDENCE IN ALGORITHM PREDICTIONS, ESPECIALLY FROM PEOPLE NOT TRAINED ON THESE ISSUES. THE PROJECT, THANKS TO THE RECRUITMENT OF A YOUNG RESEARCHER WITH A SCIENTIST DATA PROFILE, WILL FOCUS ON UNSUPERVISED ML TECHNIQUES; THESE HAVE A HUGE INDUSTRIAL RELEVANCE BY ENABLING SOLUTIONS FOR THE RECOGNITION OF ANOMALIES THAT HAVE THE ADVANTAGE OF NOT BEING BASED ON ‘LABELLING’ OF DATA BY A HUMAN BEING, WHICH ARE OFTEN NOT PRESENT OR UNRELIABLE IN REAL AREAS. IN THE CONTEXT OF THE RECOGNITION OF ANOMALIES, THE INTERPRETABILITY OF THESE SOLUTIONS, IN ADDITION TO INCREASING THE — ADOPTION BY THE USER, ALSO HAS THE ENORMOUS ADVANTAGE OF (English) | |||||||||||||||
| Property / summary: EXPLAIN 4.0 AIMS TO DEVELOP DECISION SUPPORT SYSTEMS (SSDS) BASED ON MACHINE LEARNING TECHNIQUES (ML) INTERPRETABLE FOR INDUSTRY 4.0. ONE OF THE BIGGEST REEFS FOR THE DISSEMINATION OF ML-BASED SOLUTIONS IN INDUSTRY (AND NOT) IS THE LACK OF CONFIDENCE IN ALGORITHM PREDICTIONS, ESPECIALLY FROM PEOPLE NOT TRAINED ON THESE ISSUES. THE PROJECT, THANKS TO THE RECRUITMENT OF A YOUNG RESEARCHER WITH A SCIENTIST DATA PROFILE, WILL FOCUS ON UNSUPERVISED ML TECHNIQUES; THESE HAVE A HUGE INDUSTRIAL RELEVANCE BY ENABLING SOLUTIONS FOR THE RECOGNITION OF ANOMALIES THAT HAVE THE ADVANTAGE OF NOT BEING BASED ON ‘LABELLING’ OF DATA BY A HUMAN BEING, WHICH ARE OFTEN NOT PRESENT OR UNRELIABLE IN REAL AREAS. IN THE CONTEXT OF THE RECOGNITION OF ANOMALIES, THE INTERPRETABILITY OF THESE SOLUTIONS, IN ADDITION TO INCREASING THE — ADOPTION BY THE USER, ALSO HAS THE ENORMOUS ADVANTAGE OF (English) / rank | |||||||||||||||
Normal rank | |||||||||||||||
| Property / summary: EXPLAIN 4.0 AIMS TO DEVELOP DECISION SUPPORT SYSTEMS (SSDS) BASED ON MACHINE LEARNING TECHNIQUES (ML) INTERPRETABLE FOR INDUSTRY 4.0. ONE OF THE BIGGEST REEFS FOR THE DISSEMINATION OF ML-BASED SOLUTIONS IN INDUSTRY (AND NOT) IS THE LACK OF CONFIDENCE IN ALGORITHM PREDICTIONS, ESPECIALLY FROM PEOPLE NOT TRAINED ON THESE ISSUES. THE PROJECT, THANKS TO THE RECRUITMENT OF A YOUNG RESEARCHER WITH A SCIENTIST DATA PROFILE, WILL FOCUS ON UNSUPERVISED ML TECHNIQUES; THESE HAVE A HUGE INDUSTRIAL RELEVANCE BY ENABLING SOLUTIONS FOR THE RECOGNITION OF ANOMALIES THAT HAVE THE ADVANTAGE OF NOT BEING BASED ON ‘LABELLING’ OF DATA BY A HUMAN BEING, WHICH ARE OFTEN NOT PRESENT OR UNRELIABLE IN REAL AREAS. IN THE CONTEXT OF THE RECOGNITION OF ANOMALIES, THE INTERPRETABILITY OF THESE SOLUTIONS, IN ADDITION TO INCREASING THE — ADOPTION BY THE USER, ALSO HAS THE ENORMOUS ADVANTAGE OF (English) / qualifier | |||||||||||||||
point in time: 2 February 2022
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Revision as of 06:30, 2 February 2022
Project Q4242250 in Italy
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | TITLE: EXPLAIN 4.0: DEVELOPMENT OF INTERPRETABLE ARTIFICIAL INTELLIGENCE SOLUTIONS FOR INDUSTRY 4.0 |
Project Q4242250 in Italy |
Statements
17,415.0 Euro
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34,830.0 Euro
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50.0 percent
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STATWOLF DATA SCIENCE S.R.L.
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EXPLAIN 4.0 MIRA A SVILUPPARE SISTEMI DI SUPPORTO ALLE DECISIONI (SSD) BASATE SU TECNICHE DI MACHINE LEARNING (ML) INTERPRETABILI PER L - INDUSTRIA 4.0. UNO DEI MAGGIORI SCOGLI PER LA DIFFUSIONE DI SOLUZIONI BASATE SU ML IN AMBITO INDUSTRIALE (E NON) E' INFATTI LA SCARSA FIDUCIA NEI CONFRONTI DELLE PREDIZIONI DEGLI ALGORITMI, SPECIALMENTE DA PARTE DI PERSONE NON FORMATE SU TALI TEMATICHE. IL PROGETTO, GRAZIE AL RECLUTAMENTO DI UN GIOVANE RICERCATORE CON UN PROFILO DA DATA SCIENTIST, SI CONCENTRERA' SU TECNICHE DI ML NON SUPERVISIONATE; QUESTE HANNO UN - ENORME RILEVANZA IN AMBITO INDUSTRIALE ABILITANDO SOLUZIONI PER IL RICONOSCIMENTO DI ANOMALIE CHE HANNO IL VANTAGGIO DI NON ESSERE BASATE SU `ETICHETTATURE - DEL DATO DA PARTE DI UN ESSERE UMANO, CHE SONO SPESSO NON PRESENTI O POCO AFFIDABILI IN AMBITI REALI. NEL CONTESTO DEL RICONOSCIMENTO DELLE ANOMALIE, L - INTERPRETABILITA' DI TALI SOLUZIONI, OLTRE AD INCREMENTARE L - ADOZIONE DA PARTE DELL - UTENTE, HA ANCHE L - ENORME VANTAGGIO D (Italian)
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EXPLAIN 4.0 AIMS TO DEVELOP DECISION SUPPORT SYSTEMS (SSDS) BASED ON MACHINE LEARNING TECHNIQUES (ML) INTERPRETABLE FOR INDUSTRY 4.0. ONE OF THE BIGGEST REEFS FOR THE DISSEMINATION OF ML-BASED SOLUTIONS IN INDUSTRY (AND NOT) IS THE LACK OF CONFIDENCE IN ALGORITHM PREDICTIONS, ESPECIALLY FROM PEOPLE NOT TRAINED ON THESE ISSUES. THE PROJECT, THANKS TO THE RECRUITMENT OF A YOUNG RESEARCHER WITH A SCIENTIST DATA PROFILE, WILL FOCUS ON UNSUPERVISED ML TECHNIQUES; THESE HAVE A HUGE INDUSTRIAL RELEVANCE BY ENABLING SOLUTIONS FOR THE RECOGNITION OF ANOMALIES THAT HAVE THE ADVANTAGE OF NOT BEING BASED ON ‘LABELLING’ OF DATA BY A HUMAN BEING, WHICH ARE OFTEN NOT PRESENT OR UNRELIABLE IN REAL AREAS. IN THE CONTEXT OF THE RECOGNITION OF ANOMALIES, THE INTERPRETABILITY OF THESE SOLUTIONS, IN ADDITION TO INCREASING THE — ADOPTION BY THE USER, ALSO HAS THE ENORMOUS ADVANTAGE OF (English)
2 February 2022
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PADOVA
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