Marco Ferrante

University of Padua — Italy

Economics, Econometrics and Finance · Social Sciences

16h-index864citations80works0.02yr avg
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Research Topics

Stochastic processes and financial applications(25), Information Retrieval and Search Behavior(12), Mathematical and Theoretical Epidemiology and Ecology Models(10), Stochastic processes and statistical mechanics(10), Nonlinear Differential Equations Analysis(9)

Publications80 total

Data driven analysis of underground MV joint failure phenomena in the Italian distribution grid
IET conference proceedings.·2025
CoSRec: A Joint Conversational Search and Recommendation Dataset
2025Open Access
A Dependency-Aware Utterances Permutation Strategy to Improve Conversational Evaluation
Lecture notes in computer science·2022· 3 citedOpen Access
Hierarchical Dependence-aware Evaluation Measures for Conversational Search
2021· 8 citedOpen Access
Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales
IEEE Access·2021· 8 citedOpen Access
s-AWARE: Using Crowd Judgements in Supervised Measure-Based Methods for IR Evaluation.
Italian Research Conference on Digital Library Management Systems·2021· 1 cited
Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales
SHILAP Revista de lepidopterología·2021· 44 citedOpen Access
Exploiting Stopping Time to Evaluate Accumulated Relevance
2020· 3 citedOpen Access
Strong approximations of Brownian sheet by uniform transport processes
Research Padua Archive (University of Padua)·2020· 4 cited
s-AWARE: Supervised Measure-Based Methods for Crowd-Assessors Combination
Lecture notes in computer science·2020· 3 cited
A stochastic epidemic model of COVID-19 disease
Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)·2020· 19 citedOpen Access
A stochastic epidemic model of COVID-19 disease
AIMS Mathematics·2020· 3 citedOpen Access
Strong approximations of Brownian sheet by uniform transport processes
Collectanea mathematica·2019Open Access
How do interval scales help us with better understanding IR evaluation measures?
Information Retrieval·2019· 32 cited
A formal theory to determine scale properties of evaluation measures
2019
Scales of Evaluation Measures: From Theory to Experimentation.
IIR eBooks·2019
Stochastic Relevance for Crowdsourcing
Lecture notes in computer science·2019
A Markovian Approach to Evaluate Session-Based IR Systems
Lecture notes in computer science·2019· 2 citedOpen Access
A General Theory of IR Evaluation Measures
IEEE Transactions on Knowledge and Data Engineering·2018· 46 cited
How to Robustly Combine Judgements from Crowd Assessors with AWARE
Research Padua Archive (University of Padua)·2018Open Access
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Frequent Co-authors

Nicola Ferro(15), Carles Rovira(8), Maria Maistro(4), Aureli Alabert(4), Giovanni Fonseca(4), Silvia Pontarollo(3), Marta Sanz–Solé(3), Xavier Bardina(3), David Nualart(3), Paolo Vidoni(3), Nadia Frigo(3), Norbert Fuhr(2), Alessia Tagliavini(2), Guglielmo Faggioli(2), Raffaele Perego(2), Nicola Tonellotto(2), Monica Saltalamacchia(1), Federica Giummolè(1), Eleonora Losiouk(1), Alessandro Berti(1)