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ORCIDNicola Ferro 0001
Person information
- affiliation: University of Padua, Department of Information Engineering, Italy
- not to be confused with: Nicola Ferraro
Other persons with the same name
- Nicola Ferro 0002
![[0000-0001-6286-0194]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6286-0194")
— Politecnico di Milano, Italy
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2020 – today
- 2024
[j63]Guglielmo Faggioli, Laura Menotti, Stefano Marchesin, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Marta Gromicho, Umberto Manera, Eleonora Tavazzi, Giorgio Maria Di Nunzio, Gianmaria Silvello, Nicola Ferro:
An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology. J. Biomed. Semant. 15(1): 16 (2024)- [j62]Tetsuya Sakai, Sijie Tao, Nuo Chen, Yujing Li, Maria Maistro, Zhumin Chu, Nicola Ferro:
On the Ordering of Pooled Web Pages, Gold Assessments, and Bronze Assessments. ACM Trans. Inf. Syst. 42(1): 23:1-23:31 (2024) - [c263]Andrea Pasin, Nicola Ferro:
SEUPD@CLEF: Team Axolotl on Rumor Verification using Evidence from Authorities. CLEF (Working Notes) 2024: 560-569 - [c262]Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro:
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) 2024: 1312-1331 - [c261]Kimia Abedini, Arwa Fahoud, Akan Akysh, Nicola Ferro:
SEUPD@CLEF: Team Kalu on improving Search Engine Performance with Query Expansion and Re-Ranking Approach. CLEF (Working Notes) 2024: 2290-2303 - [c260]Alberto Basaglia, Andrea Stocco, Milica Popovic, Nicola Ferro:
SEUPD@CLEF: Team DAM on Reranking Using Sentence Embedders. CLEF (Working Notes) 2024: 2314-2335 - [c259]Lorenzo Cazzador, Francesco Luigi De Faveri, Filippo Franceschini, Lorenzo Pamio, Samuel Piron, Nicola Ferro:
SEUPD@CLEF: Team MOUSE on Enhancing Search Engines Effectiveness with Large Language Models. CLEF (Working Notes) 2024: 2336-2355 - [c258]Filippo Galli, Manuel Rigobello, Michela Schibuola, Riccardo Zuech, Nicola Ferro:
SEUPD@CLEF: Team IRIS on Temporal Evolution of Query Expansion and Rank Fusion Techniques Applied to Cross-Encoder Re-Rankers. CLEF (Working Notes) 2024: 2356-2383 - [c257]Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Nicola Ferro:
QuantumCLEF 2024: Overview of the Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF. CLEF (Working Notes) 2024: 3032-3053 - [c256]Nicola Ferro, Julio Gonzalo, Jussi Karlgren, Henning Müller:
The CLEF 2024 Monster Track: One Lab to Rule Them All. ECIR (6) 2024: 11-18 - [c255]Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi:
iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. ECIR (6) 2024: 53-59 - [c254]Guglielmo Faggioli, Nicola Ferro:
Query Obfuscation for Information Retrieval Through Differential Privacy. ECIR (1) 2024: 278-294 - [c253]Maurizio Ferrari Dacrema, Andrea Pasin, Paolo Cremonesi, Nicola Ferro:
Quantum Computing for Information Retrieval and Recommender Systems. ECIR (5) 2024: 358-362 - [c252]Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Nicola Ferro:
QuantumCLEF - Quantum Computing at CLEF. ECIR (5) 2024: 482-489 - [c251]Andrea Pasin, Washington Cunha, Marcos André Gonçalves, Nicola Ferro:
A Quantum Annealing Instance Selection Approach for Efficient and Effective Transformer Fine-Tuning. ICTIR 2024: 205-214 - [c250]Guglielmo Faggioli, Nicola Ferro:
Evaluating Differential Privacy Approaches for Information Retrieval. IRCDL 2024: 41-46 - [c249]Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci:
CAMEO: Fostering Joint Conversational Search and Recommendation. SEBD 2024: 290-301 - [c248]Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro, Riccardo Spizzo:
"Dead or Alive, we can deny it". A Differentially Private Approach to Survival Analysis. SEBD 2024: 401-411 - [c247]Andrea Pasin, Lorenza Da Re, Andrea Gerosa, Lidia Pezzuoli, Silvia Preciso, Nicola Ferro:
PNRRorienta: A Web Application for Managing Schools, Courses, and Students Involved in the PNRR Orientation Initiative. SEBD 2024: 468-476 - [c246]Nicola Ferro, Mark Sanderson:
Uncontextualized significance considered dangerous. SIGIR 2024: 261-270 - [c245]Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
Dimension Importance Estimation for Dense Information Retrieval. SIGIR 2024: 1318-1328 - [c244]Maurizio Ferrari Dacrema, Andrea Pasin, Paolo Cremonesi, Nicola Ferro:
Using and Evaluating Quantum Computing for Information Retrieval and Recommender Systems. SIGIR 2024: 3017-3020 - [e52]Guglielmo Faggioli, Nicola Ferro, Petra Galuscáková, Alba García Seco de Herrera:
Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024. CEUR Workshop Proceedings 3740, CEUR-WS.org 2024 [contents] - [i15]Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro:
Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy. CoRR abs/2405.09306 (2024) - 2023
- [j61]Maria Maistro, Timo Breuer, Philipp Schaer, Nicola Ferro:
An in-depth investigation on the behavior of measures to quantify reproducibility. Inf. Process. Manag. 60(3): 103332 (2023) - [j60]Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel:
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum 57(1): 7:1-7:28 (2023) - [j59]Guglielmo Faggioli, Nicola Ferro, Josiane Mothe, Fiana Raiber, Maik Fröbe:
Report on the 1st Workshop on Query Performance Prediction and Its Evaluation in New Tasks (QPP++ 2023) at ECIR 2023. SIGIR Forum 57(1): 12:1-12:7 (2023) - [j58]Mohammad Aliannejadi, Avi Arampatzis, Guglielmo Faggioli, Nicola Ferro, Anastasia Giachanou, Evangelos Kanoulas, Dan Li, Theodora Tsikrika, Michalis Vlachos, Stefanos Vrochidis:
Report on the 14th Conference and Labs of the Evaluation Forum (CLEF 2023): Experimental IR Meets Multilinguality, Multimodality, and Interaction. SIGIR Forum 57(2): 16:1-16:16 (2023) - [c243]Theresa Elstner, Frank Loebe, Yamen Ajjour, Christopher Akiki, Alexander Bondarenko, Maik Fröbe, Lukas Gienapp, Nikolay Kolyada, Janis Mohr, Stephan Sandfuchs, Matti Wiegmann, Jörg Frochte, Nicola Ferro, Sven Hofmann, Benno Stein, Matthias Hagen, Martin Potthast:
Shared Tasks as Tutorials: A Methodical Approach. AAAI 2023: 15807-15815 - [c242]David Otero, Javier Parapar, Nicola Ferro:
How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. CIKM 2023: 1960-1970 - [c241]Francesca Longhin, Alessandro Guazzo, Enrico Longato, Nicola Ferro, Barbara Di Camillo:
DAVI: A Dataset for Automatic Variant Interpretation. CLEF 2023: 85-96 - [c240]Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Nicola Ferro:
qCLEF: A Proposal to Evaluate Quantum Annealing for Information Retrieval and Recommender Systems. CLEF 2023: 97-108 - [c239]Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro:
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. CLEF 2023: 343-369 - [c238]Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro:
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) 2023: 1123-1164 - [c237]Isil Atabek, Huimin Chen, Jesús Moncada-Ramírez, Nicolò Santini, Giovanni Zago, Nicola Ferro:
SEUNIPD@CLEF: Team JIHUMING on Enhancing Search Engine Performance with Character N-Grams, Query Expansion, and Named Entity Recognition. CLEF (Working Notes) 2023: 2204-2221 - [c236]Leonardo Bellin, Antonino Andrea Carè, Marco Martini, Maria Teresa Pepaj, Matteo Salvalaio, Andrea Segala, Mariafiore Tognon, Nicola Ferro:
SEUPD@CLEF: Team GWCA on Longitudinal Evaluation of IR Systems by Using Query Expansion and Learning To Rank. CLEF (Working Notes) 2023: 2222-2238 - [c235]Alvise Bolzonella, Riccardo Broetto, Marco Gasparini, Farhad Sadat, Nicola Ferro:
SEUPD@CLEF: RAFJAM on Longitudinal Evaluation of Model Performance. CLEF (Working Notes) 2023: 2239-2251 - [c234]Enrico Bolzonello, Christian Marchiori, Daniele Moschetta, Riccardo Trevisiol, Fabio Zanini, Nicola Ferro:
SEUPD@CLEF: Team FADERIC on A Query Expansion and Reranking Approach for the LongEval Task. CLEF (Working Notes) 2023: 2252-2280 - [c233]Simone Bortolin, Gioele Ceccon, Gil Czaczkes, Alessandra Pastore, Pietro Renna, Giovanni Zerbo, Nicola Ferro:
SEUPD@CLEF: Team NEON. A Memoryless Approach To Longitudinal Evaluation. CLEF (Working Notes) 2023: 2281-2305 - [c232]Vittorio Cardillo, Alberto Dorizza, Mattia Maglie, Dario Mameli, Gianluca Rossi, Michele Russo, Nicola Ferro:
SEUPD@CLEF: Team Squid on LongEval-Retrieval. CLEF (Working Notes) 2023: 2306-2337 - [c231]Daniel Carlesso, Riccardo Gobbo, Simone Merlo, Angela Pomaro, Diego Spinosa, Nicola Ferro:
SEUPD@CLEF: Team DARDS - IR System for Short and Long Term Retrieval. CLEF (Working Notes) 2023: 2338-2367 - [c230]Gianluca Antolini, Nicola Boscolo, Mirco Cazzaro, Marco Martinelli, Seyedreza Safavi, Farzad Shami, Nicola Ferro:
SEUPD@CLEF: Team CLOSE on Temporal Persistence of IR Systems' Performance. CLEF (Working Notes) 2023: 2368-2395 - [c229]Andrea Ceccato, Luca Fabbian, Bor-Woei Huang, Irfan Ullah Khan, Harjot Singh, Nicola Ferro:
SEUPD@CLEF: Team HIBALL on Incremental Information Retrieval System with RRF and BERT. CLEF (Working Notes) 2023: 2396-2415 - [c228]Enrico D'Alberton, Saverio Fincato, Vaidas Lenartavicius, Laura Pallante, Yi Jian Qiu, Nicola Ferro:
SEUPD@CLEF: Team QEVALS on Information Retrieval Adapted to the Temporal Evolution of Web Documents. CLEF (Working Notes) 2023: 2416-2431 - [c227]Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski:
Query Performance Prediction for Neural IR: Are We There Yet? ECIR (1) 2023: 232-248 - [c226]Guglielmo Faggioli, Nicola Ferro, Josiane Mothe, Fiana Raiber:
QPP++ 2023: Query-Performance Prediction and Its Evaluation in New Tasks. ECIR (3) 2023: 388-391 - [c225]Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi:
iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. ECIR (3) 2023: 491-498 - [c224]Guglielmo Faggioli, Thibault Formal, Simon Lupart, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski:
Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities. ICTIR 2023: 51-63 - [c223]Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto:
A Spatial Approach to Predict Performance of Conversational Search Systems. IIR 2023: 41-46 - [c222]Guglielmo Faggioli, Nicola Ferro, Norbert Fuhr:
IR Systems Evaluation via Generalized Linear Models. IIR 2023: 105-110 - [c221]Giorgio Maria Di Nunzio, Nicola Ferro, Fabio Giachelle, Ornella Irrera, Stefano Marchesin, Gianmaria Silvello:
SKET: an Unsupervised Knowledge Extraction Tool to Empower Digital Pathology Applications. IRCDL 2023: 144-152 - [c220]Marco Alessio, Guglielmo Faggioli, Nicola Ferro:
A Modular Framework for Conversational Search Reproducible Experimentation. SEBD 2023: 349-359 - [c219]Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski:
On the Limitations of Query Performance Prediction for Neural IR. SEBD 2023: 379-390 - [c218]Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto:
A Geometric Framework for Query Performance Prediction in Conversational Search. SIGIR 2023: 1355-1365 - [c217]Marco Alessio, Guglielmo Faggioli, Nicola Ferro:
DECAF: A Modular and Extensible Conversational Search Framework. SIGIR 2023: 3075-3085 - [e51]Mohammad Aliannejadi, Guglielmo Faggioli, Nicola Ferro, Michalis Vlachos:
Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, September 18th to 21st, 2023. CEUR Workshop Proceedings 3497, CEUR-WS.org 2023 [contents] - [e50]Avi Arampatzis, Evangelos Kanoulas, Theodora Tsikrika, Stefanos Vrochidis, Anastasia Giachanou, Dan Li, Mohammad Aliannejadi, Michalis Vlachos, Guglielmo Faggioli, Nicola Ferro:
Experimental IR Meets Multilinguality, Multimodality, and Interaction - 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18-21, 2023, Proceedings. Lecture Notes in Computer Science 14163, Springer 2023, ISBN 978-3-031-42447-2 [contents] - [e49]Guglielmo Faggioli, Nicola Ferro, Josiane Mothe, Fiana Raiber:
Proceedings of the The QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks Workshop co-located with The 45th European Conference on Information Retrieval ( ECIR), Dublin, Ireland, April 6th, 2023. CEUR Workshop Proceedings 3366, CEUR-WS.org 2023 [contents] - [e48]Diego Calvanese, Claudia Diamantini, Guglielmo Faggioli, Nicola Ferro, Stefano Marchesin, Gianmaria Silvello, Letizia Tanca:
Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano Terme, Italy, July 2nd to 5th, 2023. CEUR Workshop Proceedings 3478, CEUR-WS.org 2023 [contents] - [d3]Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro:
iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. Zenodo, 2023
- [i14]Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski:
Query Performance Prediction for Neural IR: Are We There Yet? CoRR abs/2302.09947 (2023) - [i13]Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr:
Report from Dagstuhl Seminar 23031: Frontiers of Information Access Experimentation for Research and Education. CoRR abs/2305.01509 (2023) - [i12]David Otero, Javier Parapar, Nicola Ferro:
How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. CoRR abs/2308.09340 (2023) - [i11]Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Guglielmo Faggioli:
Frontiers of Information Access Experimentation for Research and Education (Dagstuhl Seminar 23031). Dagstuhl Reports 13(1): 68-154 (2023) - 2022
- [j57]Guglielmo Faggioli, Oleg Zendel, J. Shane Culpepper, Nicola Ferro, Falk Scholer:
sMARE: a new paradigm to evaluate and understand query performance prediction methods. Inf. Retr. J. 25(2): 94-122 (2022) - [j56]Alberto Barrón-Cedeño, Giovanni Da San Martino, Mirko Degli Esposti, Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, Craig Macdonald, Gabriella Pasi, Martin Potthast, Fabrizio Sebastiani:
Report on the 13th Conference and Labs of the Evaluation Forum (CLEF 2022): Experimental IR Meets Multilinguality, Multimodality, and Interaction. SIGIR Forum 56(2): 13:1-13:15 (2022) - [j55]J. Shane Culpepper, Guglielmo Faggioli, Nicola Ferro, Oren Kurland:
Topic Difficulty: Collection and Query Formulation Effects. ACM Trans. Inf. Syst. 40(1): 19:1-19:36 (2022) - [c216]Guglielmo Faggioli, Nicola Ferro, Norbert Fuhr:
Detecting Significant Differences Between Information Retrieval Systems via Generalized Linear Models. CIKM 2022: 446-456 - [c215]Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro:
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. CLEF 2022: 395-422 - [c214]Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro:
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) 2022: 1130-1210 - [c213]Maria Aba, Munzer Azra, Marco Gallo, Odai Mohammad, Ivan Piacere, Giacomo Virginio, Nicola Ferro:
Aldo Nadi at Touché 2022: Argument Retrieval for Comparative Questions. CLEF (Working Notes) 2022: 2904-2918 - [c212]Sepide Bahrami, Gnana Prakash Goli, Andrea Pasin, Neemol Rajkumari, Mohammad Muzammil Sohail, Paria Tahan, Nicola Ferro:
SEUPD@CLEF: Team INTSEG on Argument Retrieval for Controversial Questions. CLEF (Working Notes) 2022: 2919-2932 - [c211]Manuel Barusco, Gabriele Del Fiume, Riccardo Forzan, Mario Giovanni Peloso, Nicola Rizzetto, Elham Soleymani, Nicola Ferro:
SEUPD@CLEF: Team Lgtm on Argument Retrieval for Controversial Questions. CLEF (Working Notes) 2022: 2933-2955 - [c210]Alessandro Benetti, Michele De Togni, Giovanni Foti, Ralton Lacini, Andrea Matteazzi, Enrico Sgarbossa, Nicola Ferro:
SEUPD@CLEF: Team Gamora on Argument Retrieval for Controversial Questions. CLEF (Working Notes) 2022: 2956-2968 - [c209]Lorenzo Cappellotto, Matteo Lando, Daniel Lupu, Marco Mariotto, Riccardo Rosalen, Nicola Ferro:
SEUPD@CLEF: Team 6musk on Argument Retrieval for Controversial Questions by Using Pairs Selection and Query Expansion. CLEF (Working Notes) 2022: 3018-3031 - [c208]Alessandro Chimetto, Davide Peressoni, Enrico Sabbatini, Giovanni Tommasin, Marco Varotto, Alessio Zanardelli, Nicola Ferro:
SEUPD@CLEF: Team hextech on Argument Retrieval for Comparative Questions. The importance of adjectives in documents quality evaluation. CLEF (Working Notes) 2022: 3041-3054 - [c207]Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
A Dependency-Aware Utterances Permutation Strategy to Improve Conversational Evaluation. ECIR (1) 2022: 184-198 - [c206]Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi:
Feature Selection via Quantum Annealers for Ranking and Classification Tasks. IIR 2022 - [c205]Guglielmo Faggioli, Nicola Ferro:
Comparing ANOVA Approaches to Detect Significantly Different IR Systems. IIR 2022 - [c204]Matteo Paganelli, Francesco Del Buono, Francesco Guerra, Nicola Ferro:
Evaluating the integration of datasets. SAC 2022: 347-356 - [c203]Luigi De Lucia, Guglielmo Faggioli, Nicola Ferro, Fabio Orobelli:
Extracting a Unified Database from Heterogeneous Bills of Materials via Data Integration Approaches. SEBD 2022: 13-24 - [c202]Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
Improving Conversational Evaluation via a Dependency-Aware Permutation Strategy. SEBD 2022: 375-382 - [c201]Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi:
Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers. SIGIR 2022: 2814-2824 - [c200]Guglielmo Faggioli, Nicola Ferro, Mattia Romanello:
Question Answering-Based Query Expansion for Conversational Search: IIIA@UNIPD at TREC CAsT 2022. TREC 2022 - [c199]Nicola Ferro, Mark Sanderson:
How Do You Test a Test?: A Multifaceted Examination of Significance Tests. WSDM 2022: 280-288 - [e47]Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, Martin Potthast:
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to - 8th, 2022. CEUR Workshop Proceedings 3180, CEUR-WS.org 2022 [contents] - [e46]Alberto Barrón-Cedeño, Giovanni Da San Martino, Mirko Degli Esposti, Fabrizio Sebastiani, Craig Macdonald, Gabriella Pasi, Allan Hanbury, Martin Potthast, Guglielmo Faggioli, Nicola Ferro:
Experimental IR Meets Multilinguality, Multimodality, and Interaction - 13th International Conference of the CLEF Association, CLEF 2022, Bologna, Italy, September 5-8, 2022, Proceedings. Lecture Notes in Computer Science 13390, Springer 2022, ISBN 978-3-031-13642-9 [contents] - [e45]Gianmaria Silvello, Óscar Corcho, Paolo Manghi, Giorgio Maria Di Nunzio, Koraljka Golub, Nicola Ferro, Antonella Poggi:
Linking Theory and Practice of Digital Libraries - 26th International Conference on Theory and Practice of Digital Libraries, TPDL 2022, Padua, Italy, September 20-23, 2022, Proceedings. Lecture Notes in Computer Science 13541, Springer 2022, ISBN 978-3-031-16801-7 [contents] - [d2]Nicola Ferro:
iDPP@CLEF 2022 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. Zenodo, 2022 - [d1]Maria Maistro, Timo Breuer, Philipp Schaer, Nicola Ferro:
An in-depth Investigation on the Behaviour of Measures to Quantify Reproducibility. Zenodo, 2022 - [i10]Timo Breuer, Nicola Ferro, Maria Maistro, Philipp Schaer:
repro_eval: A Python Interface to Reproducibility Measures of System-oriented IR Experiments. CoRR abs/2201.07599 (2022) - [i9]Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi:
Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers. CoRR abs/2205.04346 (2022) - [i8]Tetsuya Sakai, Sijie Tao, Maria Maistro, Zhumin Chu, Yujing Li, Nuo Chen, Nicola Ferro, Junjie Wang, Ian Soboroff, Yiqun Liu:
Corrected Evaluation Results of the NTCIR WWW-2, WWW-3, and WWW-4 English Subtasks. CoRR abs/2210.10266 (2022) - [i7]Mirko Biasini, Vittorio Carmignani, Nicola Ferro, Panagiotis Filianos, Maria Maistro, Giorgio Maria Di Nunzio:
FullBrain: a Social E-learning Platform. CoRR abs/2212.01387 (2022) - [i6]Marco Ferrante, Nicola Ferro, Norbert Fuhr:
Response to Moffat's Comment on "Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales". CoRR abs/2212.11735 (2022) - 2021
- [j54]Marco Ferrante, Nicola Ferro, Norbert Fuhr:
Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales. IEEE Access 9: 136182-136216 (2021) - [j53]K. Selçuk Candan, Guglielmo Faggioli, Nicola Ferro, Lorraine Goeuriot, Bogdan Ionescu, Alexis Joly, Birger Larsen, Maria Maistro, Henning Müller, Florina Piroi:
Report on the 12th conference and labs of the evaluation forum (CLEF 2021): experimental IR meets multilinguality, multimodality, and interaction. SIGIR Forum 55(2): 15:1-15:12 (2021) - [c198]Guglielmo Faggioli, Nicola Ferro:
System Effect Estimation by Sharding: A Comparison Between ANOVA Approaches to Detect Significant Differences. ECIR (2) 2021: 33-46 - [c197]Guglielmo Faggioli, Oleg Zendel, J. Shane Culpepper, Nicola Ferro, Falk Scholer:
An Enhanced Evaluation Framework for Query Performance Prediction. ECIR (1) 2021: 115-129 - [c196]Timo Breuer, Nicola Ferro, Maria Maistro, Philipp Schaer:
repro_eval: A Python Interface to Reproducibility Measures of System-Oriented IR Experiments. ECIR (2) 2021: 481-486 - [c195]J. Shane Culpepper, Guglielmo Faggioli, Nicola Ferro, Oren Kurland:
Do Hard Topics Exist? A Statistical Analysis. IIR 2021 - [c194]Mirko Biasini, Vittorio Carmignani, Nicola Ferro, Panagiotis Filianos, Maria Maistro, Giorgio Maria Di Nunzio:
FullBrain: a Social E-learning Platform. IRCDL 2021: 25-41 - [c193]Mattia Avanzi, Riccardo Coniglio, Giulia Cisotto, Marco Giordani, Nicola Ferro:
NoBis: A Crowd Monitoring Service Against COVID-19. IRCDL 2021: 126-137 - [c192]Marco Ferrante, Nicola Ferro, Luca Piazzon:
s-AWARE: Using Crowd Judgements in Supervised Measure-Based Methods for IR Evaluation. IRCDL 2021: 162-168 - [c191]Michele Berno, Marco Canil, Nicola Chiarello, Luca Piazzon, Fabio Berti, Francesca Ferrari, Alessandro Zaupa, Nicola Ferro, Michele Rossi, Gian Antonio Susto:
A Machine Learning-based Approach for Advanced Monitoring of Automated Equipment for the Entertainment Industry. MetroInd4.0&IoT 2021: 386-391 - [c190]