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CORDIS

Stairway to AI: Ease the Engagement of Low-Tech users to the AI-on-Demand platform through AI

Risultati finali

Experts and HW Providers Catalogue-1st version

Catalogue of HW providers and experts that will provide HW resources and expertise to support the beneficiaries in the adoption of AI This catalogue will be published in the AI4EU platform

Requirements for the AI-on-demand platform-1st version

This deliverable reports the requirement for the multilingual interaction the vertical and horizontal matchmaking layers

List of FSTP Beneficiaries -First call

List of beneficiaries of the FSTP including the list of FSTP winners

Design of the knowledge representation in the StairwAI AI Asset Management System-1st version

This deliverable reports the chosen knowledge representation within the AI Asset Management System and how it maps to other existing representations incluing the AI4EU ontology

Design of the knowledge representation in the StairwAI AI Asset Management System-2nd version

This deliverable reports the chosen knowledge representation within the AI Asset Management System and how it maps to other existing representations incluing the AI4EU ontology

First Call Announcement and Guide for Applicant

Open Calls Documents Package including the Call announcement to be published in the Participant Portal a month before launching the Open Call and the Guide for applicants detailing the process evaluation support program and distribution of the funding

National and international networking strategy report and outlook beyond the project-1st version

This deliverable will detail the steps of the national and international networking strategy and will outline the scope and actions to incorporate for the effective sustainability of StairwAI

Dissemination and Communication Plan

This deliverable will provide the strategy that will be followed in the project for communication and dissemination

Requirements for the AI-on-demand platform-2nd version

This deliverable reports the requirement for the multilingual interaction the vertical and horizontal matchmaking layers This version aims to confirm the requirement jointly organized with the WP7 Open Call selective pilots

Community Kickoff Workshop

This deliverable will collect all the information and discussions on the actions and next steps as starting point from the Kickoff meeting Also it will incorporate the initial communications with the other ICT 48 and AI4EU teams

Matchmaking algorithms V1

This deliverable is the first version of the prototype of the three matchmaking services developed in tasks 5.1, 5.2 and 5.3.

StairwAI AI Asset Management System-1st version

This is the release of the version 1,of the StairwAI AI Asset Management System

Data management plan

This deliverable will contain the action for managing and protecting the data collected during the project and the agreements to use data jointly involving partners that have not participated in data collection

StairwAI web site

The StairwAI web site will be integrated on the AI-on-demand platform

Pubblicazioni

Discovering Business Processes models expressed as DNF or CNF formulae of Declare constraints

Autori: Federico Chesani; Chiara Di Francescomarino; Chiara Ghidini; Daniela Loreti; Fabrizio Maria Maggi; Paola Mello; Marco Montali; Elena Palmieri; Sergio Tessaris
Pubblicato in: Numero 16, 2022
Editore: CEUR Workshop Proceedings

GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors

Autori: Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
Pubblicato in: 2021
Editore: Springer
DOI: 10.1007/978-3-030-82017-6_2

On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction

Autori: Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Pubblicato in: 2021
Editore: CEUR Workshop Proceedings (AI*IA Series)

A Mechanism for Reasoning over Defeasible Preferences in Arg2P

Autori: Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor
Pubblicato in: 2021
Editore: CEUR Workshop Proceedings

TinderAI: Support System for Matching AI Algorithms and Embedded Devices

Autori: Matteo Francobaldi; Allegra De Filippo; Andrea Borghesi; Nikola Pizˇurica; Igor Jovančević; Tim Llewellynn; Miguel De Prado
Pubblicato in: The Florida AI Research Society, 2023
Editore: LibraryPress@UF,
DOI: 10.32473/flairs.36.133100

Encouraging AI Adoption by SMEs: Opportunities and Contributions by the ICT49 Project Cluster

Autori: Ourania Markaki, Aikaterini Papapostolou, Spiros Mouzakitis, Izabela Zrazinska, Urszula Sobek, Thomas Wilczek, Antonis Troumpoukis, Xenia Ziouvelou, Vangelis Karkaletsis, Alexandra Carrasco, Miriam Garcia, Gabriele Röger, Andrea Micheli, Jaime Alessandro Codagnone, Miguel de Prado, Siobhán O'Neill
Pubblicato in: 2023, ISBN 979-8-3503-1806-7
Editore: IEEE
DOI: 10.1109/iisa59645.2023.10345867

Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO

Autori: Federico Sabbatini, Roberta Calegari
Pubblicato in: 9th International Conference on Principles of Knowledge Representation and Reasoning, 2022
Editore: IJCAI Organization
DOI: 10.24963/kr.2022/57

Papr Readr Bot: A Conversational Agent to Read Research Papers

Autori: Michelle Xiao-Lin Foo; Luca Della Libera; Ilhan Aslan
Pubblicato in: Crossref, Numero 7, 2022
Editore: ACM
DOI: 10.1145/3543829.3544536

Adding preferences and moral values in an agent-based simulation framework for high-performance computing

Autori: David Marin Gutierrez, Javier Vazquez-Salceda, Sergio Alvarez-Napagao, Dmitry Gnatyshak
Pubblicato in: International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems, 2023, Pagina/e 95-117, ISBN 978-3-031-49133-7
Editore: Springer
DOI: 10.1007/978-3-031-49133-7_6

A Sentiment and Emotion Annotated Dataset for Bitcoin Price Forecasting Based on Reddit Posts

Autori: Pavlo Seroyizhko, Zhanel Zhexenova, Muhammad Zohaib Shafiq, Fabio Merizzi, Andrea Galassi, Federico Ruggeri
Pubblicato in: Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP), Numero 2022, 2022, Pagina/e 203–210
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.finnlp-1.27

Argumentation Structure Prediction in CJEU Decisions on Fiscal State Aid

Autori: Santin, Piera; Grundler, Giulia; Galassi, Andrea; Galli, Federico; Lagioia, Francesca; Palmieri, Elena; Ruggeri, Federico; Sartor, Giovanni; Torroni, Paolo
Pubblicato in: ICAIL '23: Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, Numero 2023, 2023, Pagina/e 247–256, ISBN 9798400701979
Editore: ACM
DOI: 10.1145/3594536.3595174

Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap

Autori: Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
Pubblicato in: 2021
Editore: CEUR

Discovering Business Processes models expressed as DNF or CNF formulae of Declare constraints

Autori: Federico Chesani;Daniela Loreti;Paola Mello;Marco Montali;Elena Palmieri;
Pubblicato in: Proceedings of the 37th Italian Conference on Computational Logic, 2022, Pagina/e 201-216, ISSN 1613-0073
Editore: CEUR-WS

A Dataset of Argumentative Dialogues on Scientific Papers

Autori: Federico Ruggeri, Mohsen Mesgar, Iryna Gurevych
Pubblicato in: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, Numero 2023, 2023, Pagina/e 7684–7699
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.acl-long.425

Detecting Arguments in CJEU Decisions on Fiscal State Aid

Autori: Giulia Grundler, Piera Santin, Andrea Galassi, Federico Galli, Francesco Godano, Francesca Lagioia, Elena Palmieri, Federico Ruggeri, Giovanni Sartor, and Paolo Torroni
Pubblicato in: Proceedings of the 9th Workshop on Argument Mining, Numero 2022, 2022, Pagina/e 143–157
Editore: International Conference on Computational Linguistics

Explainable Agents Adapt to Human Behaviour

Autori: Tormos Llorente, Adrián; Giménez Ábalos, Víctor; Domènech Vila, Marc; Gnatyshak, Dmitry; Álvarez Napagao, Sergio; Vázquez Salceda, Javier
Pubblicato in: Proceedings of the International Workshop on Citizen-Centric Multiagent Systems 2023, Numero 1, 2023
Editore: Figshare
DOI: 10.6084/m9.figshare.22821836

Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search

Autori: Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
Pubblicato in: 2021
Editore: Springer
DOI: 10.1007/978-3-030-82017-6_5

Multimodal Argument Mining: A Case Study in Political Debates

Autori: Eleonora Mancini, Federico Ruggeri, Andrea Galassi, Paolo Torroni
Pubblicato in: Proceedings of the 9th Workshop on Argument Mining, Numero 2022, 2022, Pagina/e 158–170
Editore: International Conference on Computational Linguistics

On the Definition of Prescriptive Annotation Guidelines for Language-Agnostic Subjectivity Detection

Autori: Federico Ruggeri, Francesco Antici, Andrea Galassi, Katerina Korre, Arianna Muti, Alberto Barrón-Cedeño
Pubblicato in: Sixth Workshop on Narrative Extraction From Texts, Numero 2023, 2023, Pagina/e 103-111
Editore: CEUR-WS.org

Combining WordNet and Word Embeddings in Data Augmentation for Legal Texts

Autori: Sezen Perçin, Andrea Galassi, Francesca Lagioia, Federico Ruggeri, Piera Santin, Giovanni Sartor, Paolo Torroni
Pubblicato in: Proceedings of the Natural Legal Language Processing Workshop, NLLP@EMNLP 2022, Numero 2022, 2022, Pagina/e 47-52
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.nllp-1.4

TinderAI: Support System for Matching AI Algorithms and Embedded Devices.

Autori: Matteo Francobaldi; Allegra De Filippo; Andrea Borghesi; Nikola Pizˇurica; Igor Jovančević; Tim Llewellynn; Miguel de Prado;
Pubblicato in: The International FLAIRS Conference Proceedings, Numero 36, 2023, ISSN 2334-0762
Editore: Library Press@UF

Online AutoML: an adaptive AutoML framework for online learning

Autori: Bilge Celik, Prabhant Singh Joaquin Vanschoren
Pubblicato in: Machine Learning, 2022, ISSN 0885-6125
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10994-022-06262-0

HADA: An automated tool for hardware dimensioning of AI applications

Autori: Allegra De Filippo, Andrea Borghesi, Andrea Boscarino, Michela Milano
Pubblicato in: Knowledge-Based Systems, Numero Volume 251, 2022, Pagina/e 109199, ISSN 0950-7051
Editore: Elsevier BV
DOI: 10.1016/j.knosys.2022.109199

Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices

Autori: Andrea Agiollo; Andrea Omicini
Pubblicato in: Applied Sciences, Vol 11, Iss 11957, p 11957 (2021), Numero 8, 2021, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app112411957

Multi-Task Attentive Residual Networks for Argument Mining

Autori: Andrea Galassi; Marco Lippi; Paolo Torroni
Pubblicato in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023, ISSN 2329-9290
Editore: IEEE Advancing Technology for Humanity
DOI: 10.1109/taslp.2023.3275040

Disruptive situation detection on public transport through speech emotion recognition

Autori: Eleonora Mancini, Andrea Galassi, Federico Ruggeri, Paolo Torroni
Pubblicato in: Eleonora Mancini, Andrea Galassi, Federico Ruggeri, Paolo Torroni, Numero Vol 21, Numero 200305, 2024, Pagina/e 1-10, ISSN 2667-3053
Editore: Elsevier
DOI: 10.1016/j.iswa.2023.200305

A Privacy-Preserving Dialogue System Based on Argumentation

Autori: Bettina Fazzinga, Andrea Galassi, Paolo Torroni
Pubblicato in: Intelligent Systems with Applications, Numero Vol 16, 2022, Pagina/e 200113, ISSN 2667-3053
Editore: Elsevier
DOI: 10.1016/j.iswa.2022.200113

Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments

Autori: Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Pubblicato in: Intelligenza Artificiale, 2022, ISSN 1724-8035
Editore: IOS Press
DOI: 10.3233/ia-210120

Shape Your Process: Discovering Declarative Business Processes from Positive and Negative Traces Taking into Account User Preferences

Autori: Federico Chesani; Chiara Di Francescomarino; Chiara Ghidini; Giulia Grundler; Daniela Loreti; Fabrizio Maria Maggi; Paola Mello; Marco Montali; Sergio Tessaris
Pubblicato in: Enterprise Design, Operations, and Computing. Lecture Notes in Computer Science, Numero 13585, 2022, Pagina/e 217-234, ISBN 978-3-031-17604-3
Editore: Springer
DOI: 10.1007/978-3-031-17604-3_13

Constrained Hardware Dimensioning for AI Algorithms

Autori: Allegra De Filippo; Andreas Borghesi
Pubblicato in: Frontiers in Artificial Intelligence and Applications, PAIS 2022, Numero 351, 2022
Editore: IOS Press
DOI: 10.3233/faia220072

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