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2020 – today
- 2024
[c21]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- 2022
- [c20]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 - [c19]Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
Improving Conversational Evaluation via a Dependency-Aware Permutation Strategy. SEBD 2022: 375-382 - [i2]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
- [j5]Marco Ferrante, Nicola Ferro, Norbert Fuhr:
Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales. IEEE Access 9: 136182-136216 (2021) - [c18]Marco Ferrante, Nicola Ferro, Luca Piazzon:
s-AWARE: Using Crowd Judgements in Supervised Measure-Based Methods for IR Evaluation. IRCDL 2021: 162-168 - [c17]Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
Hierarchical Dependence-aware Evaluation Measures for Conversational Search. SIGIR 2021: 1935-1939 - [i1]Marco Ferrante, Nicola Ferro, Norbert Fuhr:
Towards Meaningful Statements in IR Evaluation. Mapping Evaluation Measures to Interval Scales. CoRR abs/2101.02668 (2021) - 2020
- [j4]Marco Ferrante, Nicola Ferro, Eleonora Losiouk:
How do interval scales help us with better understanding IR evaluation measures? Inf. Retr. J. 23(3): 289-317 (2020) - [c16]Marco Ferrante, Nicola Ferro, Luca Piazzon:
s-AWARE: Supervised Measure-Based Methods for Crowd-Assessors Combination. CLEF 2020: 16-27 - [c15]Marco Ferrante, Nicola Ferro:
Exploiting Stopping Time to Evaluate Accumulated Relevance. ICTIR 2020: 169-176
2010 – 2019
- 2019
- [j3]Marco Ferrante, Nicola Ferro, Silvia Pontarollo:
A General Theory of IR Evaluation Measures. IEEE Trans. Knowl. Data Eng. 31(3): 409-422 (2019) - [c14]David van Dijk, Marco Ferrante, Nicola Ferro, Evangelos Kanoulas:
A Markovian Approach to Evaluate Session-Based IR Systems. ECIR (1) 2019: 621-635 - [c13]Marco Ferrante, Nicola Ferro, Eleonora Losiouk:
Stochastic Relevance for Crowdsourcing. ECIR (1) 2019: 755-762 - [c12]Marco Ferrante, Nicola Ferro, Eleonora Losiouk, Silvia Pontarollo:
Scales of Evaluation Measures: From Theory to Experimentation. IIR 2019: 10-11 - [c11]Marco Ferrante, Nicola Ferro, Silvia Pontarollo:
A Formal Theory to Determine Scale Properties of Evaluation Measures. SEBD 2019 - 2018
- [c10]Marco Ferrante, Nicola Ferro, Silvia Pontarollo:
Modelling Randomness in Relevance Judgments and Evaluation Measures. ECIR 2018: 197-209 - [c9]Marco Ferrante, Nicola Ferro, Maria Maistro:
How to Robustly Combine Judgements from Crowd Assessors with AWARE. SEBD 2018 - 2017
- [j2]Marco Ferrante, Nicola Ferro, Maria Maistro:
AWARE: Exploiting Evaluation Measures to Combine Multiple Assessors. ACM Trans. Inf. Syst. 36(2): 20:1-20:38 (2017) - [c8]Maddalena Favaretto, Riccardo Spolaor, Mauro Conti, Marco Ferrante:
You Surf so Strange Today: Anomaly Detection in Web Services via HMM and CTMC. GPC 2017: 426-440 - [c7]Marco Ferrante, Nicola Ferro, Silvia Pontarollo:
Are IR Evaluation Measures on an Interval Scale? ICTIR 2017: 67-74 - [c6]Marco Ferrante, Nicola Ferro, Silvia Pontarollo:
An Interval-Like Scale Property for I. R. Evaluation Measures. EVIA@NTCIR 2017: 10-15 - 2016
- [c5]Nicola Ferro, Marco Ferrante, Maria Maistro:
Basis of a Formal Framework for Information Retrieval Evaluation Measurements. IIR 2016 - 2015
- [j1]Aureli Alabert, Alessandro Berti, Ricard Caballero, Marco Ferrante:
No-Free-Lunch theorems in the continuum. Theor. Comput. Sci. 600: 98-106 (2015) - [c4]Marco Ferrante, Nicola Ferro, Maria Maistro:
Towards a Formal Framework for Utility-oriented Measurements of Retrieval Effectiveness. ICTIR 2015: 21-30 - [c3]Marco Ferrante, Nicola Ferro, Maria Maistro:
Markov Precision: Modelling User Behaviour over Rank and Time. IIR 2015 - 2014
- [c2]Marco Ferrante, Nicola Ferro, Maria Maistro:
Rethinking How to Extend Average Precision to Graded Relevance. CLEF 2014: 19-30 - [c1]Marco Ferrante, Nicola Ferro, Maria Maistro:
Injecting user models and time into precision via Markov chains. SIGIR 2014: 597-606
Coauthor Index
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