Extreme Food Risk Analytics

Project Information

EFRA

Grant agreement ID: 101093026

DOI

10.3030/101093026

EC signature date 17 November 2022

Start date 1 January 2023

End date 31 December 2025

Funded under

• Digital, Industry and Space

Total cost

€ 4 833 797,50

EU contribution

€ 4 833 797,50

Coordinated by

AGROKNOW IKE
Greece

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (2)

Focus Group Recommendations for AI Risk Predictions

Direct outcome of T5.1

Project Management Handbook

Organisational structure which operates procedures & management tools, emphasising on risk management and quality assurance.

Publications

Book chapters (2)

Efficient and Effective Tree-based and Neural Learning to Rank

Author(s): Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini
Published in: Foundations and Trends® in Information Retrieval, Issue Vol. 17: No. 1, 2023, ISBN 978-1-63828-198-6
Publisher: Now Publishers
DOI: 10.1561/1500000071

Explainable AI: current status and future potential

Author(s): Bas H. M. van der Velden
Published in: European Journal of Radiology, Issue Vol. 34, 2023, ISSN 2024-2024
Publisher: European Radiology
DOI: 10.1007/s00330-023-10121-4

Conference proceedings (10)

Can Embeddings Analysis Explain Large Language Model Ranking?

Author(s): Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
Published in: ACM CIKM 2023, 2023, ISBN 979-8-4007-0124-5
Publisher: Association for Computing Machinery
DOI: 10.1145/3583780.3615225

Efficient Multi-vector Dense Retrieval with Bit Vectors

Author(s): Franco Maria Nardini & Cosimo Rulli
Published in: ECIR 2024, 2024, ISBN 978-3-031-56060-6
Publisher: ECIR 2024
DOI: 10.1007/978-3-031-56060-6_1

Survival Analysis as a Risk Stratification Tool for Threshold Exceedance Forecasting

Author(s): George Marinos, Manos Karvounis, Ioannis Athanasiadis
Published in: Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2023, ISSN 2184-3228
Publisher: SciTePress
DOI: 10.5220/0012234700003598

Towards Robust Expert Finding in Community Question Answering Platforms

Author(s): Amendola, M., Passarella, A., Perego, R.
Published in: ECIR 2024, 2024, ISBN 978-3-031-56069-9
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-56069-9_12

DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts

Author(s): Kasela, P., Pasi, G., Perego, R., Tonellotto, N.
Published in: ECIR 2024, 2024, ISBN 978-3-031-56060-6
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-56060-6_8

SE-PEF: a Resource for Personalized Expert Finding

Author(s): Pranav Kasela, Gabriella Pasi, Raffaele Perego
Published in: ACM SIGIR AP, 2023, ISBN 979-8-4007-0408-6
Publisher: Association for Computing Machinery
DOI: 10.1145/3624918.3625335

A Geometric Framework for Query Performance Prediction in Conversational Search

Author(s): Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto
Published in: ACM SIGIR 2023, 2023, ISBN 978-1-4503-9408-6
Publisher: Association for Computing Machinery
DOI: 10.1145/3539618.3591625

Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation

Author(s): Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia
Published in: ACM CIKM 2023, 2023, ISBN 979-8-4007-0124-5
Publisher: Association for Computing Machinery
DOI: 10.1145/3583780.3615010

Rewriting Conversational Utterances with Instructed Large Language Models

Author(s): Elnara Galimzhanova, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti
Published in: IEEE Web Intelligence, 2023, ISBN 979-8-3503-0918-8
Publisher: IEEE
DOI: 10.1109/WI-IAT59888.2023.00014

Commonsense injection in Conversational Systems: An adaptable framework for query expansion

Author(s): Guido Rocchietti, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego
Published in: IEEE Web Intelligence, 2023, ISBN 979-8-3503-0918-8
Publisher: IEEE
DOI: 10.1109/WI-IAT59888.2023.00013

Peer reviewed articles (3)

An Optimal Algorithm for Finding Champions in Tournament Graphs

Author(s): Beretta L., Nardini F. M., Trani R., Venturini R.
Published in: IEEE Transactions on Knowledge and Data Engineering, Issue Vol. 35, Issue: 10, 2023, ISSN 1041-4347
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TKDE.2023.3267345

Early Exit Strategies for Learning-to-Rank Cascades

Author(s): Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Published in: IEEE ACCESS, Issue Vol. 11, 2023, ISSN 2169-3536
Publisher: IEEE
DOI: 10.1109/ACCESS.2023.3331088

Distilled Neural Networks for Efficient Learning to Rank

Author(s): Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini
Published in: IEEE TKDE, Issue Vol. 35, Issue: 5, 2024, ISSN 1558-2191
Publisher: IEEE
DOI: 10.1109/TKDE.2022.3152585