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

Deliverables

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

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

Publications

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

Author(s): Federico Chesani; Chiara Di Francescomarino; Chiara Ghidini; Daniela Loreti; Fabrizio Maria Maggi; Paola Mello; Marco Montali; Elena Palmieri; Sergio Tessaris
Published in: Issue 16, 2022
Publisher: CEUR Workshop Proceedings

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

Author(s): Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
Published in: 2021
Publisher: Springer
DOI: 10.1007/978-3-030-82017-6_2

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

Author(s): Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Published in: 2021
Publisher: CEUR Workshop Proceedings (AI*IA Series)

A Mechanism for Reasoning over Defeasible Preferences in Arg2P

Author(s): Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor
Published in: 2021
Publisher: CEUR Workshop Proceedings

TinderAI: Support System for Matching AI Algorithms and Embedded Devices

Author(s): Matteo Francobaldi; Allegra De Filippo; Andrea Borghesi; Nikola Pizˇurica; Igor Jovančević; Tim Llewellynn; Miguel De Prado
Published in: The Florida AI Research Society, 2023
Publisher: LibraryPress@UF,
DOI: 10.32473/flairs.36.133100

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

Author(s): 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
Published in: 2023, ISBN 979-8-3503-1806-7
Publisher: IEEE
DOI: 10.1109/iisa59645.2023.10345867

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

Author(s): Federico Sabbatini, Roberta Calegari
Published in: 9th International Conference on Principles of Knowledge Representation and Reasoning, 2022
Publisher: IJCAI Organization
DOI: 10.24963/kr.2022/57

Papr Readr Bot: A Conversational Agent to Read Research Papers

Author(s): Michelle Xiao-Lin Foo; Luca Della Libera; Ilhan Aslan
Published in: Crossref, Issue 7, 2022
Publisher: ACM
DOI: 10.1145/3543829.3544536

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

Author(s): David Marin Gutierrez, Javier Vazquez-Salceda, Sergio Alvarez-Napagao, Dmitry Gnatyshak
Published in: International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems, 2023, Page(s) 95-117, ISBN 978-3-031-49133-7
Publisher: Springer
DOI: 10.1007/978-3-031-49133-7_6

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

Author(s): Pavlo Seroyizhko, Zhanel Zhexenova, Muhammad Zohaib Shafiq, Fabio Merizzi, Andrea Galassi, Federico Ruggeri
Published in: Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP), Issue 2022, 2022, Page(s) 203–210
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2022.finnlp-1.27

Argumentation Structure Prediction in CJEU Decisions on Fiscal State Aid

Author(s): Santin, Piera; Grundler, Giulia; Galassi, Andrea; Galli, Federico; Lagioia, Francesca; Palmieri, Elena; Ruggeri, Federico; Sartor, Giovanni; Torroni, Paolo
Published in: ICAIL '23: Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, Issue 2023, 2023, Page(s) 247–256, ISBN 9798400701979
Publisher: ACM
DOI: 10.1145/3594536.3595174

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

Author(s): Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
Published in: 2021
Publisher: CEUR

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

Author(s): Federico Chesani;Daniela Loreti;Paola Mello;Marco Montali;Elena Palmieri;
Published in: Proceedings of the 37th Italian Conference on Computational Logic, 2022, Page(s) 201-216, ISSN 1613-0073
Publisher: CEUR-WS

A Dataset of Argumentative Dialogues on Scientific Papers

Author(s): Federico Ruggeri, Mohsen Mesgar, Iryna Gurevych
Published in: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, Issue 2023, 2023, Page(s) 7684–7699
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2023.acl-long.425

Detecting Arguments in CJEU Decisions on Fiscal State Aid

Author(s): Giulia Grundler, Piera Santin, Andrea Galassi, Federico Galli, Francesco Godano, Francesca Lagioia, Elena Palmieri, Federico Ruggeri, Giovanni Sartor, and Paolo Torroni
Published in: Proceedings of the 9th Workshop on Argument Mining, Issue 2022, 2022, Page(s) 143–157
Publisher: International Conference on Computational Linguistics

Explainable Agents Adapt to Human Behaviour

Author(s): Tormos Llorente, Adrián; Giménez Ábalos, Víctor; Domènech Vila, Marc; Gnatyshak, Dmitry; Álvarez Napagao, Sergio; Vázquez Salceda, Javier
Published in: Proceedings of the International Workshop on Citizen-Centric Multiagent Systems 2023, Issue 1, 2023
Publisher: Figshare
DOI: 10.6084/m9.figshare.22821836

Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search

Author(s): Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
Published in: 2021
Publisher: Springer
DOI: 10.1007/978-3-030-82017-6_5

Multimodal Argument Mining: A Case Study in Political Debates

Author(s): Eleonora Mancini, Federico Ruggeri, Andrea Galassi, Paolo Torroni
Published in: Proceedings of the 9th Workshop on Argument Mining, Issue 2022, 2022, Page(s) 158–170
Publisher: International Conference on Computational Linguistics

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

Author(s): Federico Ruggeri, Francesco Antici, Andrea Galassi, Katerina Korre, Arianna Muti, Alberto Barrón-Cedeño
Published in: Sixth Workshop on Narrative Extraction From Texts, Issue 2023, 2023, Page(s) 103-111
Publisher: CEUR-WS.org

Combining WordNet and Word Embeddings in Data Augmentation for Legal Texts

Author(s): Sezen Perçin, Andrea Galassi, Francesca Lagioia, Federico Ruggeri, Piera Santin, Giovanni Sartor, Paolo Torroni
Published in: Proceedings of the Natural Legal Language Processing Workshop, NLLP@EMNLP 2022, Issue 2022, 2022, Page(s) 47-52
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2022.nllp-1.4

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

Author(s): Matteo Francobaldi; Allegra De Filippo; Andrea Borghesi; Nikola Pizˇurica; Igor Jovančević; Tim Llewellynn; Miguel de Prado;
Published in: The International FLAIRS Conference Proceedings, Issue 36, 2023, ISSN 2334-0762
Publisher: Library Press@UF

Online AutoML: an adaptive AutoML framework for online learning

Author(s): Bilge Celik, Prabhant Singh Joaquin Vanschoren
Published in: Machine Learning, 2022, ISSN 0885-6125
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10994-022-06262-0

HADA: An automated tool for hardware dimensioning of AI applications

Author(s): Allegra De Filippo, Andrea Borghesi, Andrea Boscarino, Michela Milano
Published in: Knowledge-Based Systems, Issue Volume 251, 2022, Page(s) 109199, ISSN 0950-7051
Publisher: Elsevier BV
DOI: 10.1016/j.knosys.2022.109199

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

Author(s): Andrea Agiollo; Andrea Omicini
Published in: Applied Sciences, Vol 11, Iss 11957, p 11957 (2021), Issue 8, 2021, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app112411957

Multi-Task Attentive Residual Networks for Argument Mining

Author(s): Andrea Galassi; Marco Lippi; Paolo Torroni
Published in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023, ISSN 2329-9290
Publisher: IEEE Advancing Technology for Humanity
DOI: 10.1109/taslp.2023.3275040

Disruptive situation detection on public transport through speech emotion recognition

Author(s): Eleonora Mancini, Andrea Galassi, Federico Ruggeri, Paolo Torroni
Published in: Eleonora Mancini, Andrea Galassi, Federico Ruggeri, Paolo Torroni, Issue Vol 21, Issue 200305, 2024, Page(s) 1-10, ISSN 2667-3053
Publisher: Elsevier
DOI: 10.1016/j.iswa.2023.200305

A Privacy-Preserving Dialogue System Based on Argumentation

Author(s): Bettina Fazzinga, Andrea Galassi, Paolo Torroni
Published in: Intelligent Systems with Applications, Issue Vol 16, 2022, Page(s) 200113, ISSN 2667-3053
Publisher: Elsevier
DOI: 10.1016/j.iswa.2022.200113

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

Author(s): Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Published in: Intelligenza Artificiale, 2022, ISSN 1724-8035
Publisher: IOS Press
DOI: 10.3233/ia-210120

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

Author(s): Federico Chesani; Chiara Di Francescomarino; Chiara Ghidini; Giulia Grundler; Daniela Loreti; Fabrizio Maria Maggi; Paola Mello; Marco Montali; Sergio Tessaris
Published in: Enterprise Design, Operations, and Computing. Lecture Notes in Computer Science, Issue 13585, 2022, Page(s) 217-234, ISBN 978-3-031-17604-3
Publisher: Springer
DOI: 10.1007/978-3-031-17604-3_13

Constrained Hardware Dimensioning for AI Algorithms

Author(s): Allegra De Filippo; Andreas Borghesi
Published in: Frontiers in Artificial Intelligence and Applications, PAIS 2022, Issue 351, 2022
Publisher: IOS Press
DOI: 10.3233/faia220072

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