Extreme Food Risk Analytics

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Project Management Handbook

Autori: Thanopoulos Babis
Editore: Zenodo

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