Extreme Food Risk Analytics

Informazioni relative al progetto

EFRA

ID dell’accordo di sovvenzione: 101093026

DOI

10.3030/101093026

Progetto chiuso

Data della firma CE 17 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2025

Finanziato da

Digital, Industry and Space

Costo totale

€ 4 833 797,50

Contributo UE

€ 4 833 797,50

4 833 797,50

Coordinato da

AGROKNOW IKE
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

EFRA Architecture & Green Operations

Direct output of T4.1, T4.2

EFRA Software Demonstrators for Decision Support

Will showcase the software created to support decision-making in the T5.4 use-cases

EFRA API Gateway and Data & Analytics Marketplace

Direct output of T4.4

Integrated toolset for multiplying impact

The toolset consists of an IPR plan, a Business Models Playbook and a Sustainability plan.

Use-case Plan, Reports & Recommendations

Direct output of T5.2 and T5.3 re. the use-case activities

Dissemination, exploitation, communication plan

Initial version with the DEC plan and updated versions with the results of the outreach activities.

Report on Deployment of Risk Prediction Modules

Report on the deployment of the AI models as modules of the EFRA Analytics Powerhouse

EFRA Requirements Roadmap

This deliverable will incorporate the outputs of T1.1-T1.5 as a guiding set of requirements for the lifetime of the project

Focus Group Recommendations for AI Risk Predictions

Direct outcome of T5.1

Ongoing Recommendations for EFRA Work

This deliverable will update D1.1 with targeted recommendations as the project activities unfold

Pubblicazioni

BitsAndBites at SemEval-2025 Task 9: Improving Food Hazard Detection with Sequential Multitask Learning and Large Language Models

Autori: Aurora Gensale, Irene Benedetto, Luca Gioacchini, Luca Cagliero, and Alessio Bosca.
Pubblicato in: Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 718–725,, 2025
Editore: Association for Computational Linguistics.

Power- and Fragmentation-aware Online Scheduling for GPU Datacenters

Autori: Francesco Lettich, Emanuele Carlini, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
Pubblicato in: """The 25th IEEE International Symposium on Cluster, Cloud and Internet Computing"""
Editore: Zenodo

Power- and Fragmentation-aware Online Scheduling for GPU Datacenters

Autori: Francesco Lettich, Emanuele Carlini, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
Pubblicato in: The 25th IEEE International Symposium on Cluster, Cloud and Internet Computing, 2025
Editore: Zenodo

Learning to Rank for Non Independent and Identically Distributed Datasets

Autori: Jacopo Cecchetti; Nicola Tonellotto; Raffaele Perego 0001
Pubblicato in: Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024
DOI: 10.1145/3664190.3672513

Can Embeddings Analysis Explain Large Language Model Ranking?

Autori: Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
Pubblicato in: ACM CIKM 2023, 2023, ISBN 979-8-4007-0124-5
Editore: Association for Computing Machinery
DOI: 10.1145/3583780.3615225

CoDIME: A Counterfactual Approach for Dimension Importance Estimation through Click Logs

Autori: Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Pubblicato in: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Editore: ACM
DOI: 10.1145/3726302.3729926

Efficient Multi-vector Dense Retrieval with Bit Vectors

Autori: Franco Maria Nardini & Cosimo Rulli
Pubblicato in: ECIR 2024, 2024, ISBN 978-3-031-56060-6
Editore: ECIR 2024
DOI: 10.1007/978-3-031-56060-6_1

Computing the Why-Provenance for Datalog Queries via SAT Solvers

Autori: Calautti M.; Livshits E.; Pieris A.; Schneider M.
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, 2024
Editore: AAAI Press
DOI: 10.1609/AAAI.V38I9.28914

Survival Analysis as a Risk Stratification Tool for Threshold Exceedance Forecasting

Autori: George Marinos, Manos Karvounis, Ioannis Athanasiadis
Pubblicato in: Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2023, ISSN 2184-3228
Editore: SciTePress
DOI: 10.5220/0012234700003598

Towards Robust Expert Finding in Community Question Answering Platforms

Autori: Amendola, M., Passarella, A., Perego, R.
Pubblicato in: ECIR 2024, 2024, ISBN 978-3-031-56069-9
Editore: Springer, Cham
DOI: 10.1007/978-3-031-56069-9_12

Pairing Clustered Inverted Indexes with κ-NN Graphs for Fast Approximate Retrieval over Learned Sparse Representations

Autori: Sebastian Bruch 0001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini
Pubblicato in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Editore: ACM
DOI: 10.48550/ARXIV.2408.04443

Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets

Autori: Sebastian Bruch 0001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini; Leonardo Venuta
Pubblicato in: European Conference on Information Retrieval 2025: Advances in Information Retrieval, Numero 15574, 2025, ISBN 9783031887130
Editore: Springer Nature
DOI: 10.1007/978-3-031-88714-7_43

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

Autori: Kasela, P., Pasi, G., Perego, R., Tonellotto, N.
Pubblicato in: ECIR 2024, 2024, ISBN 978-3-031-56060-6
Editore: Springer, Cham
DOI: 10.1007/978-3-031-56060-6_8

Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations

Autori: Sebastian Bruch 0001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini
Pubblicato in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Editore: ACM
DOI: 10.48550/ARXIV.2404.18812

CoSRec: A Joint Conversational Search and Recommendation Dataset

Autori: Marco Alessio, Simone Merlo, Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Cristina Ioana Muntean, Franco Maria Nardini, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci, Nicola Viterbo
Pubblicato in: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Editore: ACM
DOI: 10.1145/3726302.3730319

The mod-minimizer: a simple and efficient sampling algorithm for longk-mers

Autori: Ragnar Groot Koerkamp; Giulio Ermanno Pibiri
Pubblicato in: 24th International Workshop on Algorithms in Bioinformatics (WABI 2024), 2024
Editore: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI: 10.3929/ETHZ-B-000694344

Named Entity Recognition using context similarity data augmentation.

Autori: Ilaria Bartolini; Angelo Chianese; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlí; Andrea Vignali
Pubblicato in: 2024
Editore: CEUR

kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search

Autori: Leonardo Delfino, Domenico Erriquez, Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
Pubblicato in: Lecture Notes in Computer Science, Advances in Information Retrieval, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-88717-8_29

SE-PEF: a Resource for Personalized Expert Finding

Autori: Pranav Kasela, Gabriella Pasi, Raffaele Perego
Pubblicato in: ACM SIGIR AP, 2023, ISBN 979-8-4007-0408-6
Editore: Association for Computing Machinery
DOI: 10.1145/3624918.3625335

Efficient Re-ranking with Cross-encoders via Early Exit

Autori: Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani, Alberto Veneri
Pubblicato in: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Editore: ACM
DOI: 10.1145/3726302.3729962

A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search

Autori: Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch
Pubblicato in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Editore: ACM
DOI: 10.1145/3626772.3657931

A Geometric Framework for Query Performance Prediction in Conversational Search

Autori: Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto
Pubblicato in: ACM SIGIR 2023, 2023, ISBN 978-1-4503-9408-6
Editore: Association for Computing Machinery
DOI: 10.1145/3539618.3591625

Dimension Importance Estimation for Dense Information Retrieval

Autori: Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Pubblicato in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Editore: ACM
DOI: 10.1145/3626772.3657691

Effective Inference-Free Retrieval for Learned Sparse Representations

Autori: Franco Maria Nardini, Thong Nguyen, Cosimo Rulli, Rossano Venturini, Andrew Yates
Pubblicato in: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Editore: ACM
DOI: 10.1145/3726302.3730185

FoodSafeSum: Enabling Natural Language Processing Applications for Food Safety Document Summarization and Analysis

Autori: Juli Bakagianni, Korbinian Randl, Guido Rocchietti, Cosimo Rulli, Franco Maria Nardini, Salvatore Trani, Aron Henriksson, Anna Romanova, John Pavlopoulos
Pubblicato in: Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Editore: Association for Computational Linguistics
DOI: 10.18653/V1/2025.FINDINGS-EMNLP.911

Efficient Conversational Search via Topical Locality in Dense Retrieval

Autori: Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti, Cosimo Rulli
Pubblicato in: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025, ISBN 9798400715921
Editore: ACM
DOI: 10.1145/3726302.3730186

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

Autori: Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia
Pubblicato in: ACM CIKM 2023, 2023, ISBN 979-8-4007-0124-5
Editore: Association for Computing Machinery
DOI: 10.1145/3583780.3615010

Query Performance Prediction Using Dimension Importance Estimators

Autori: Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Pubblicato in: Lecture Notes in Computer Science, Advances in Information Retrieval, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-88711-6_13

CAMEO: Fostering Joint Conversational Search and Recommendation.

Autori: Di Noia T.; Faggioli G.; Ferrante M.; Ferro N.; Narducci F.; Perego R.; Santucci G.
Pubblicato in: 2024
Editore: CEUR

Efficient and Effective Multi-Vector Dense Retrieval with EMVB.

Autori: Nardini F. M.; Rulli C.; Venturini R.
Pubblicato in: Italian Symposium on Advanced Database Systems, 2024
Editore: ACM

PHOBIC: Perfect Hashing With Optimized Bucket Sizes and Interleaved Coding

Autori: Stefan Hermann; Hans-Peter Lehmann; Giulio Ermanno Pibiri; Peter Sanders 0001; Stefan Walzer
Pubblicato in: 2024
Editore: KIT
DOI: 10.48550/ARXIV.2404.18497

SemEval-2025 Task 9: The Food Hazard Detection Challenge

Autori: Korbinian Randl; John Pavlopoulos; Aron Henriksson; Tony Lindgren; Juli Bakagianni
Pubblicato in: Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), 2025
Editore: ACL ANTHOLOGY

Rewriting Conversational Utterances with Instructed Large Language Models

Autori: Elnara Galimzhanova, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti
Pubblicato in: 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2023, ISBN 979-8-3503-0918-8
Editore: IEEE
DOI: 10.48550/ARXIV.2410.07797

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

Autori: Guido Rocchietti, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego
Pubblicato in: 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2023, ISBN 979-8-3503-0918-8
Editore: IEEE
DOI: 10.1109/WI-IAT59888.2023.00013

Efficient Approximate Nearest Neighbor Search on a Raspberry Pi

Autori: Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
Pubblicato in: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Editore: ACM
DOI: 10.1145/3726302.3730268

ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval

Autori: Maik Fröbe; Joel Mackenzie; Bhaskar Mitra 0001; Franco Maria Nardini; Martin Potthast
Pubblicato in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Editore: ACM
DOI: 10.1145/3626772.3657994

Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search

Autori: Sebastian Bruch, Aditya Krishnan, Franco Maria Nardini
Pubblicato in: NeurIPS 2025 The Thirty-Ninth Annual Conference on Neural Information Processing Systems
Editore: NeurIPS 2025 The Thirty-Ninth Annual Conference on Neural Information Processing Systems

LR2: A Legal RAG for Legal Reasoning over Cases

Autori: Irene Benedetto, Luca Cagliero, Francesco Tarasconi
Pubblicato in: Frontiers in Artificial Intelligence and Applications, Legal Knowledge and Information Systems, 2025
Editore: IOS Press
DOI: 10.3233/FAIA251614

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification

Autori: Foteini Papadopoulou, Osman Mutlu, Neris Özen, Bas Van Der Velden, Iris Hendrickx, and Ali Hurriyetoglu
Pubblicato in: Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval 2025), 2025
Editore: ACL ANTHOLOGY

CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification

Autori: Korbinian Randl; John Pavlopoulos; Aron Henriksson; Tony Lindgren
Pubblicato in: Findings of the Association for Computational Linguistics ACL 2024, 2024
DOI: 10.48550/ARXIV.2403.11904

Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI

Autori: Qi Huang, Emanuele Mezzi, Osman Mutlu, Miltiadis Kofinas, Vidya Prasad, Shadnan Azwad Khan, Elena Ranguelova, Niki van Stein
Pubblicato in: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63787-2_16

Knowledge Extraction in the Αge of LLMs

Autori: Bosca, Alessio
Pubblicato in: 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.15411333

Enhancing Conversational Search with Large Language Models

Autori: Guido Rocchietti, Cristina Ioana Muntean, Franco Maria Nardini
Pubblicato in: ERCIM News, Numero Vol. 136, 2024
Editore: ERCIM EEIG

D5.1 Focus Group Recommendations for AI Risk Predictions

Autori: Karvounis, Manos
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/ZENODO.14626522

D5.2 Experimental Methodology, Tools & Reports from Experiments

Autori: Pavlopoulos, John
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/ZENODO.14626540

D4.3 EFRA API Gateway and Data & Analytics Marketplace

Autori: Karvounis, Manos
Pubblicato in: 2024
Editore: Zenodo
DOI: 10.5281/ZENODO.14626431

D1.2 Ongoing Recommendations for EFRA Work

Autori: Hürriyetoğlu, Ali; van der Velden, Bas
Pubblicato in: 2024
Editore: Zenodo
DOI: 10.5281/ZENODO.14626378

Project Management Handbook

Autori: Thanopoulos Babis
Editore: Zenodo

Integrating Ai into Food Safety Workflows

Autori: Romanova, Anna
Pubblicato in: 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.17016147

D2.3 Report on Data Expansion and Population

Autori: Karvounis, Manos
Pubblicato in: 2024
Editore: Zenodo
DOI: 10.5281/ZENODO.14626423

D1.1 EFRA Requirements Roadmap

Autori: Hürriyetoğlu, Ali; van der Velden, Bas
Pubblicato in: 2024
Editore: Zenodo
DOI: 10.5281/ZENODO.14626136

Predicting Corn Infections Using Weather Data and Machine Learning

Autori: Rumeau, Morgane; Folnovic, Tanja
Pubblicato in: 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.15632067

D4.1 EFRA Architecture & Green Operations

Autori: Trani, Salvatore; Lettich, Francesco
Pubblicato in: 2024
Editore: Zenodo
DOI: 10.5281/ZENODO.14626430

D5.3 Use-case Plan, Reports & Recommendations

Autori: Karvounis, Manos
Pubblicato in: 2024
Editore: Zenodo
DOI: 10.5281/ZENODO.14626569

D6.2 Integrated Τoolset for Μultiplying Ιmpact

Autori: kotsikoris, vasilis
Pubblicato in: 2024
Editore: Zenodo
DOI: 10.5281/ZENODO.14626672

D7.1 Project Management Handbook

Autori: Thanopoulos, Babis
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/ZENODO.14626686

D6.1 Dissemination, Exploitation, Communication Plan

Autori: kotsikoris, vasilis
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/ZENODO.14643160

Locality-preserving minimal perfect hashing of k-mers

Autori: Giulio Ermanno Pibiri, Yoshihiro Shibuya, Antoine Limasset
Pubblicato in: Bioinformatics, Numero 39, 2023, ISSN 1367-4803
Editore: Oxford University Press (OUP)
DOI: 10.48550/ARXIV.2210.13097

Bridging Dense and Sparse Maximum Inner Product Search

Autori: Sebastian Bruch, Franco Maria Nardini, Amir Ingber, Edo Liberty
Pubblicato in: ACM Transactions on Information Systems, Numero 42, 2024, ISSN 1046-8188
Editore: Association for Computing Machinery (ACM)
DOI: 10.48550/ARXIV.2309.09013

What Lies Behind Mycotoxin Presence in Animal Feed? A Case Study☆

Autori: Maria-Eleni Dimitrakopoulou, George Marinos, Manos Karvounis, Giannis Stoitsis, Nikolaos Manouselis, Charalampos Thanopoulos, Chris Elliott
Pubblicato in: Journal of Food Protection, Numero 88, 2025, ISSN 0362-028X
Editore: Elsevier BV
DOI: 10.1016/J.JFP.2025.100464

Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering Platforms

Autori: Amendola, Maddalena; Passarella, Andrea; Perego, Raffaele
Pubblicato in: ACM Transactions on Information Systems, ISSN 1046-8188
Editore: ACM
DOI: 10.48550/ARXIV.2407.04018

Automotive fault nowcasting with machine learning and natural language processing

Autori: John Pavlopoulos, Alv Romell, Jacob Curman, Olof Steinert, Tony Lindgren, Markus Borg, Korbinian Randl
Pubblicato in: Machine Learning, Numero 113, 2023, ISSN 0885-6125
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S10994-023-06398-7

The open-closed mod-minimizer algorithm

Autori: Ragnar Groot Koerkamp, Daniel Liu, Giulio Ermanno Pibiri
Pubblicato in: Algorithms for Molecular Biology, Numero 20, 2025, ISSN 1748-7188
Editore: Springer Science and Business Media LLC
DOI: 10.1101/2024.11.02.621600

Federated learning in food research

Autori: Zuzanna Fendor; Bas H.M. van der Velden; Xinxin Wang; Andrea Jr. Carnoli; Osman Mutlu; Ali Hürriyetoğlu
Pubblicato in: Journal of Agriculture and Food Research, 2025, ISSN 2331-8422
Editore: ELSEVIER
DOI: 10.48550/ARXIV.2406.06202

Getting off the DIME: Dimension Pruning via Dimension Importance Estimation for Dense Information Retrieval

Autori: Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Pubblicato in: ACM Transactions on Information Systems, Numero 44, 2025, ISSN 1046-8188
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3765619

Explainable, Effective, and Efficient Learning-to-Rank Models Using ILMART

Autori: Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
Pubblicato in: ACM Transactions on Information Systems, Numero 43, 2025, ISSN 1046-8188
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3733232

Learning bivariate scoring functions for ranking

Autori: Nardini F. M.; Trani R.; Venturini R.
Pubblicato in: Discover Computing, Numero Vol. 27, 2024, ISSN 2948-2992
Editore: SPRINGER
DOI: 10.1007/S10791-024-09444-7

An Optimal Algorithm for Finding Champions in Tournament Graphs

Autori: Beretta L., Nardini F. M., Trani R., Venturini R.
Pubblicato in: IEEE Transactions on Knowledge and Data Engineering, Numero Vol. 35, Numero: 10, 2023, ISSN 1041-4347
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TKDE.2023.3267345

Neural network compression using binarization and few full-precision weights

Autori: Franco Maria Nardini; Cosimo Rulli; Salvatore Trani; Rossano Venturini
Pubblicato in: Information Sciences, Numero Vol. 716, 2024, ISSN 1872-6291
Editore: ELSEVIER
DOI: 10.2139/SSRN.4927691

Comprehensive analysis of PFAS presence from environment to plate

Autori: Maria-Eleni Dimitrakopoulou; Manos Karvounis; George Marinos; Zacharoula Theodorakopoulou; Eleni Aloizou; George Petsangourakis; Mihalis Papakonstantinou; Giannis Stoitsis
Pubblicato in: npj Science of Food, 2024, ISSN 2396-8370
Editore: SPRINGER Nature
DOI: 10.1038/S41538-024-00319-1

Explainable, Effective, and Efficient Learning-to-Rank Models Using ILMART

Efficient Multi-Vector Dense Retrieval Using Bit Vectors

Autori: Franco Maria Nardini; Cosimo Rulli; Rossano Venturini
Pubblicato in: European Conference on Information Retrieval, Numero Vol. 14609, 2024, ISSN 1611-3349
Editore: SPRINGER
DOI: 10.48550/ARXIV.2404.02805

PARK: Personalized academic retrieval with knowledge-graphs

Autori: Pranav Kasela, Gabriella Pasi, Raffaele Perego
Pubblicato in: Information Systems, Numero 134, 2025, ISSN 0306-4379
Editore: Elsevier BV
DOI: 10.1016/J.IS.2025.102574

Early Exit Strategies for Learning-to-Rank Cascades

Autori: Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Pubblicato in: IEEE ACCESS, Numero Vol. 11, 2023, ISSN 2169-3536
Editore: IEEE
DOI: 10.1109/ACCESS.2023.3331088

Projection-Displacement-Based Query Performance Prediction for Embedded Space of Dense Retrievers

Autori: Suchana Datta, Guglielmo Faggioli, Nicola Ferro, Debasis Ganguly, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto
Pubblicato in: ACM Transactions on Information Systems, Numero 44, 2025, ISSN 1046-8188
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3765617

Meta-colored Compacted de Bruijn Graphs

Autori: Giulio Ermanno Pibiri, Jason Fan, Rob Patro
Pubblicato in: Lecture Notes in Computer Science, 2023, ISSN 2692-8205
Editore: Cold Spring Harbor Laboratory
DOI: 10.1101/2023.07.21.550101V2.FULL

Explainable Artificial Intelligence for Deep Learning in Food: Challenges and Opportunities for Food Systems

Autori: Osman Mutlu, Bas H.M. van der Velden, Ali Hurriyetoglu, and Anna Fensel
Pubblicato in: Nature Food, 2025, ISSN 2693-5015
Editore: Research Square
DOI: 10.21203/RS.3.RS-7289201/V1

Distilled Neural Networks for Efficient Learning to Rank

Autori: Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini
Pubblicato in: IEEE TKDE, Numero Vol. 35, Numero: 5, 2024, ISSN 1558-2191
Editore: IEEE
DOI: 10.1109/TKDE.2022.3152585

Mind the gap: from plausible to valid self-explanations in large language models

Autori: Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren
Pubblicato in: Machine Learning, Numero 114, 2025, ISSN 0885-6125
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S10994-025-06838-6

Fulgor: a fast and compact k-mer index for large-scale matching and color queries

Autori: Jason Fan, Jamshed Khan, Noor Pratap Singh, Giulio Ermanno Pibiri, Rob Patro
Pubblicato in: Algorithms for Molecular Biology, Numero 19, 2024, ISSN 1748-7188
Editore: Springer Science and Business Media LLC
DOI: 10.1186/S13015-024-00251-9

On weighted k-mer dictionaries

Autori: Giulio Ermanno Pibiri
Pubblicato in: Algorithms for Molecular Biology, Numero 18, 2023, ISSN 1748-7188
Editore: Springer Science and Business Media LLC
DOI: 10.21203/RS.3.RS-2755997/V1

Where the Patterns Are: Repetition-Aware Compression for Colored de Bruijn Graphs

Autori: Alessio Campanelli, Giulio Ermanno Pibiri, Jason Fan, Rob Patro
Pubblicato in: Journal of Computational Biology, ISSN 2692-8205
Editore: Cold Spring Harbor Laboratory
DOI: 10.1101/2024.07.09.602727V1.FULL

Caching Historical Embeddings in Conversational Search

Autori: Ophir Frieder, Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Pubblicato in: ACM Transactions on the Web, Numero 18, 2024, ISSN 1559-1131
Editore: Association for Computing Machinery (ACM)
DOI: 10.48550/ARXIV.2211.14155

ChatGPT Versus Modest Large Language Models: An Extensive Study on Benefits and Drawbacks for Conversational Search

Autori: Guido Rocchietti, Cosimo Rulli, Franco Maria Nardini, Cristina Ioana Muntean, Raffaele Perego, Ophir Frieder
Pubblicato in: IEEE Access, Numero 13, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3529741

Early Exit Strategies for Approximate k -NN Search in Dense Retrieval

Autori: Francesco Busolin; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando; Raffaele Perego; Salvatore Trani
Pubblicato in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024, ISSN 2155-0751
Editore: ACM
DOI: 10.48550/ARXIV.2408.04981

Food safety trends across Europe: insights from the 392-million-entry CompreHensive European Food Safety (CHEFS) database

Autori: Nehir Kızılilsoley, Floor van Meer, Osman Mutlu, Wouter Hoenderdaal, Rosan Hobé, Wenjuan Mu, Arjen Gerssen, H.J. van der Fels-Klerx, Ákos Jóźwiak, Ioannis Manikas, Ali Hürriyetoglu, Bas van der Velden
Pubblicato in: Food Control, Numero 182, 2025, ISSN 0956-7135
Editore: Elsevier BV
DOI: 10.1016/J.FOODCONT.2025.111816

Matchtigs: minimum plain text representation of kmer sets

Autori: Sebastian Schmidt; Shahbaz Khan; Jarno N. Alanko; Giulio E. Pibiri; Alexandru I. Tomescu
Pubblicato in: Genome Biology, Numero Vol.24, 2023, ISSN 1465-6906
Editore: SPRINGER nature
DOI: 10.1101/2021.12.15.472871

Efficient and Effective Tree-based and Neural Learning to Rank

Autori: Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini
Pubblicato in: Foundations and Trends® in Information Retrieval, Numero Vol. 17: No. 1, 2023, ISBN 978-1-63828-198-6
Editore: Now Publishers
DOI: 10.1561/1500000071

Evaluating the Reliability of Self-explanations in Large Language Models

Autori: Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren
Pubblicato in: Lecture Notes in Computer Science, Discovery Science, 2025
Editore: Springer Nature Switzerland
DOI: 10.48550/ARXIV.2407.14487

Explainable AI: current status and future potential

Autori: Bas H. M. van der Velden
Pubblicato in: European Journal of Radiology, Numero Vol. 34, 2023, ISSN 2024-2024
Editore: European Radiology
DOI: 10.1007/s00330-023-10121-4

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