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2020 – today
- 2021
[j36]Qiuchi Li
, Dimitris Gkoumas, Christina Lioma, Massimo Melucci:
Quantum-inspired multimodal fusion for video sentiment analysis. Inf. Fusion 65: 58-71 (2021)- [j35]Ingo Frommholz, Haiming Liu, Massimo Melucci:
Report on the 2nd workshop on bridging the gap between information science, information retrieval and data science (BIRDS 2021). SIGIR Forum 55(1): 8:1-8:6 (2021) - [c99]Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti, Massimo Melucci, Yijun Yu, Dawei Song:
Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis. AAAI 2021: 827-835 - [c98]Qiuchi Li, Dimitris Gkoumas, Alessandro Sordoni, Jian-Yun Nie, Massimo Melucci:
Quantum-inspired Neural Network for Conversational Emotion Recognition. AAAI 2021: 13270-13278 - [c97]Ingo Frommholz, Haiming Liu, Massimo Melucci:
Preface to the 2nd Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science. BIRDS+WEPIR@CHIIR 2021: 1-3 - [c96]Ingo Frommholz, Haiming Liu, Massimo Melucci:
BIRDS 2021: Bridging the Gap between Information Science, Information Retrieval and Data Science. CHIIR 2021: 349-350 - [c95]Benyou Wang, Emanuele Di Buccio, Massimo Melucci:
Sequential Modeling in Vector Space. IIR 2021 - [c94]Benyou Wang, Emanuele Di Buccio, Massimo Melucci:
Word2Fun: Modelling Words as Functions for Diachronic Word Representation. NeurIPS 2021: 2861-2872 - [e12]Ingo Frommholz, Haiming Liu, Massimo Melucci, Nicholas J. Belkin, Gareth J. F. Jones, Noriko Kando, Gabriella Pasi:
Joint Proceedings of the Second Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science, and Third Workshop on Evaluation of Personalisation in Information Retrieval co-located with 6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2021), Canberra, Australia (Virtual Event), March 19th, 2021. CEUR Workshop Proceedings 2863, CEUR-WS.org 2021 [contents] - [i13]Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti, Massimo Melucci, Yijun Yu, Dawei Song:
Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis. CoRR abs/2101.04406 (2021) - [i12]Qiuchi Li, Dimitris Gkoumas, Christina Lioma, Massimo Melucci:
Quantum-inspired Multimodal Fusion for Video Sentiment Analysis. CoRR abs/2103.10572 (2021) - 2020
- [j34]Iván Cantador, Max Chevalier, Massimo Melucci, Josiane Mothe:
CIRCLE 2020: the first joint conference of the information retrieval communities in Europe. SIGIR Forum 54(2): 9:1-9:9 (2020) - [c93]Sagar Uprety, Prayag Tiwari, Shahram Dehdashti, Lauren Fell, Dawei Song, Peter Bruza, Massimo Melucci:
Quantum-Like Structure in Multidimensional Relevance Judgements. ECIR (1) 2020: 728-742 - [c92]Benyou Wang, Emanuele Di Buccio, Massimo Melucci:
University of Padova @ DIACR-Ita (short paper). EVALITA 2020 - [c91]Qiuchi Li, Alessandro Stefani, Giovanni Toto, Emanuele Di Buccio, Massimo Melucci:
Towards Multimodal Sentiment Analysis Inspired by the Quantum Theoretical Framework. MIPR 2020: 177-180 - [c90]Massimo Melucci:
Some Reflections on the Use of Structural Equation Modeling for Investigating the Causal Relationships that Affect Search Engine Results. BIRDS@SIGIR 2020: 100-109 - [c89]Ingo Frommholz, Haiming Liu, Massimo Melucci:
BIRDS - Bridging the Gap between Information Science, Information Retrieval and Data Science. SIGIR 2020: 2455-2458 - [e11]Iván Cantador, Max Chevalier, Massimo Melucci, Josiane Mothe:
Proceedings of the First Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), Samatan, Gers, France, July 6-9, 2020. CEUR Workshop Proceedings 2621, CEUR-WS.org 2020 [contents] - [e10]Ingo Frommholz, Haiming Liu, Massimo Melucci:
Proceedings of the First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020) co-located with 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China (online only), July 30th, - 2020. CEUR Workshop Proceedings 2741, CEUR-WS.org 2020 [contents] - [i11]Sagar Uprety, Prayag Tiwari, Shahram Dehdashti, Lauren Fell, Dawei Song, Peter Bruza, Massimo Melucci:
Quantum-like Structure in Multidimensional Relevance Judgements. CoRR abs/2001.07075 (2020) - [i10]Prayag Tiwari, Shahram Dehdashti, Abdul Karim Obeid, Massimo Melucci, Peter Bruza:
Kernel Method based on Non-Linear Coherent State. CoRR abs/2007.07887 (2020)
2010 – 2019
- 2019
- [j33]Prayag Tiwari, Massimo Melucci:
Towards a Quantum-Inspired Binary Classifier. IEEE Access 7: 42354-42372 (2019) - [j32]Massimo Melucci, Adriano Paggiaro:
Evaluation of information retrieval systems using structural equation modeling. Comput. Sci. Rev. 31: 1-18 (2019) - [j31]Massimo Melucci:
A brief survey on probability distribution approximation. Comput. Sci. Rev. 33: 91-97 (2019) - [j30]Massimo Melucci:
An Efficient Algorithm to Compute a Quantum Probability Space. IEEE Trans. Knowl. Data Eng. 31(8): 1452-1463 (2019) - [c88]Prayag Tiwari, Massimo Melucci:
Binary Classifier Inspired by Quantum Theory. AAAI 2019: 10051-10052 - [c87]Qiuchi Li, Massimo Melucci:
Quantum-inspired Multimodal Representation. IIR 2019: 49-50 - [c86]Silvia Francesca Storti, Emanuela Formaggio, Lucio Pastena, Massimo Melucci, Lucio Ricciardi, Fabio Faralli, R. Gagliardi, Gloria Menegaz:
Expertise-Related Global Efficiency of Functional Brain Networks in Professional and new Divers Under Simulated Deep-Water. ISBI 2019: 147-150 - [c85]Qiuchi Li, Benyou Wang, Massimo Melucci:
CNM: An Interpretable Complex-valued Network for Matching. NAACL-HLT (1) 2019: 4139-4148 - [c84]Massimo Melucci:
Testing Fairness Using the Log-likelihood Ratio. TREC 2019 - [c83]Benyou Wang, Qiuchi Li, Massimo Melucci, Dawei Song:
Semantic Hilbert Space for Text Representation Learning. WWW 2019: 3293-3299 - [e9]Maristella Agosti, Emanuele Di Buccio, Massimo Melucci, Stefano Mizzaro, Gabriella Pasi, Fabrizio Silvestri:
Proceedings of the 10th Italian Information Retrieval Workshop, Padova, Italy, September 16-18, 2019. CEUR Workshop Proceedings 2441, CEUR-WS.org 2019 [contents] - [i9]Benyou Wang, Qiuchi Li, Massimo Melucci, Dawei Song:
Semantic Hilbert Space for Text Representation Learning. CoRR abs/1902.09802 (2019) - [i8]Prayag Tiwari, Massimo Melucci:
Binary Classifier Inspired by Quantum Theory. CoRR abs/1903.01167 (2019) - [i7]Qiuchi Li, Benyou Wang, Massimo Melucci:
CNM: An Interpretable Complex-valued Network for Matching. CoRR abs/1904.05298 (2019) - 2018
- [j29]Massimo Melucci:
A characterization of sample selection bias in system evaluation and the case of information retrieval. Int. J. Data Sci. Anal. 6(2): 131-146 (2018) - [j28]Diederik Aerts, Massimo Melucci, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz:
Special Issue: Quantum structures in computer science: Language, semantics, retrieval. Theor. Comput. Sci. 752: 1-4 (2018) - [j27]Alberto Costa, Emanuele Di Buccio, Massimo Melucci, Giacomo Nannicini:
Efficient Parameter Estimation for Information Retrieval Using Black-Box Optimization. IEEE Trans. Knowl. Data Eng. 30(7): 1240-1253 (2018) - [c82]Prayag Tiwari, Massimo Melucci:
Towards a Quantum-Inspired Framework for Binary Classification. CIKM 2018: 1815-1818 - [c81]Alberto Costa, Emanuele Di Buccio, Massimo Melucci, Giacomo Nannicini:
Efficient Parameter Estimation for Information Retrieval Using Black-Box Optimization (Extended Abstract). ICDE 2018: 1817-1818 - [c80]Qiuchi Li, Massimo Melucci, Prayag Tiwari:
Quantum Language Model-based Query Expansion. ICTIR 2018: 183-186 - [c79]Emanuele Di Buccio, Qiuchi Li, Massimo Melucci, Prayag Tiwari:
Binary Classification Model Inspired from Quantum Detection Theory. ICTIR 2018: 187-190 - [e8]Dawei Song, Tie-Yan Liu, Le Sun, Peter Bruza, Massimo Melucci, Fabrizio Sebastiani, Grace Hui Yang:
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2018, Tianjin, China, September 14-17, 2018. ACM 2018 [contents] - [r4]Massimo Melucci:
Boolean Model. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Massimo Melucci:
Vector-Space Model. Encyclopedia of Database Systems (2nd ed.) 2018 - [i6]Massimo Melucci:
Evaluation of Information Retrieval Systems Using Structural Equation Modelling. CoRR abs/1806.09317 (2018) - [i5]Prayag Tiwari, Massimo Melucci:
Multi-class Classification Model Inspired by Quantum Detection Theory. CoRR abs/1810.04491 (2018) - 2017
- [c78]Emanuele Di Buccio, Massimo Melucci:
Meeting and Joining Theme Models in Vector Spaces for Information Retrieval. FQAS 2017: 59-70 - 2016
- [j26]Peng Zhang, Jingfei Li, Benyou Wang, Xiaozhao Zhao, Dawei Song, Yuexian Hou, Massimo Melucci:
A Quantum Query Expansion Approach for Session Search. Entropy 18(4): 146 (2016) - [j25]Loris Nanni, Massimo Melucci:
Combination of projectors, standard texture descriptors and bag of features for classifying images. Neurocomputing 173: 1602-1614 (2016) - [j24]Massimo Melucci:
Utilising a statistical inequality for efficiently finding term sets. Inf. Process. Manag. 52(6): 1086-1121 (2016) - [j23]Massimo Melucci:
Relevance Feedback Algorithms Inspired By Quantum Detection. IEEE Trans. Knowl. Data Eng. 28(4): 1022-1034 (2016) - [c77]Massimo Melucci:
Impact of Query Sample Selection Bias on Information Retrieval System Ranking. DSAA 2016: 341-350 - [c76]Emanuele Di Buccio, Andrea Lorenzet, Massimo Melucci, Federico Neresini:
Unveiling Latent States Behind Social Indicators. SoGood@ECML-PKDD 2016 - [c75]Emanuele Di Buccio, Massimo Melucci:
Evaluation of a Feedback Algorithm inspired by Quantum Detection for Dynamic Search Tasks. TREC 2016 - 2015
- [b1]Massimo Melucci:
Introduction to Information Retrieval and Quantum Mechanics. The Information Retrieval Series 35, Springer 2015, ISBN 978-3-662-48312-1, pp. 1-195 - [j22]Alberto Costa, Emanuele Di Buccio, Massimo Melucci:
A Document Retrieval Model Based on Digital Signal Filtering. ACM Trans. Inf. Syst. 34(1): 6:1-6:37 (2015) - [c74]Getachew Mamo Wegari, Massimo Melucci, Solomon Teferra:
Suffix sequences based morphological segmentation for Afaan Oromo. AFRICON 2015: 1-6 - [c73]Emanuele Di Buccio, Massimo Melucci:
Two Operators to Define and Manipulate Themes of a Document Collection. ICTIR 2015: 377-380 - [c72]Silvia Francesca Storti, Emanuela Formaggio, Massimo Melucci, Fabio Faralli, Lucio Ricciardi, Gloria Menegaz, Lucio Pastena:
Alterations of source and connectivity EEG patterns under simulated deep-SEA condition. ISBI 2015: 339-342 - [c71]Massimo Melucci:
Efficient Term Set Prediction Using the Bell-Wigner Inequality. SPIRE 2015: 46-53 - 2014
- [j21]Emanuele Di Buccio, Massimo Melucci, Federica Moro:
Detecting verbose queries and improving information retrieval. Inf. Process. Manag. 50(2): 342-360 (2014) - [c70]Massimo Melucci:
Investigating sample selection bias in the relevance feedback algorithm of the vector space model for Information Retrieval. DSAA 2014: 83-89 - [c69]Emanuele Di Buccio, Ivano Masiero, Massimo Melucci:
Evaluation of a Recursive Weighting Scheme for Federated Web Search. IIR 2014: 1-10 - [c68]Emanuele Di Buccio, Massimo Melucci:
University of Padua at TREC 2014: Federated Web Search Track. TREC 2014 - 2013
- [j20]Massimo Melucci:
Deriving a Quantum Information Retrieval Basis. Comput. J. 56(11): 1279-1291 (2013) - [c67]Massimo Melucci, Benjamin Piwowarski:
Quantum Mechanics and Information Retrieval: From Theory to Application. ICTIR 2013: 1 - [c66]Massimo Melucci:
Initial Specifications for the Design of Information Retrieval Systems Based on Quantum Detector Using Kinds. QI 2013: 59-70 - [c65]Emanuele Di Buccio, Ivano Masiero, Massimo Melucci:
University of Padua at TREC 2013: Federated Web Search Track. TREC 2013 - 2012
- [j19]Massimo Melucci:
Contextual Search: A Computational Framework. Found. Trends Inf. Retr. 6(4-5): 257-405 (2012) - [e7]Jerome R. Busemeyer, François Dubois, Ariane Lambert-Mogiliansky, Massimo Melucci:
Quantum Interaction - 6th International Symposium, QI 2012, Paris, France, June 27-29, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7620, Springer 2012, ISBN 978-3-642-35658-2 [contents] - [i4]Massimo Melucci:
When Index Term Probability Violates the Classical Probability Axioms Quantum Probability can be a Necessary Theory for Information Retrieval. CoRR abs/1203.2569 (2012) - 2011
- [c64]Massimo Melucci:
A Brief Account on the Recent Advances in the Use of Quantum Mechanics for Information Retrieval. DART@AI*IA (Revised and Invited Papers) 2011: 1-14 - [c63]Emanuele Di Buccio, Massimo Melucci, Dawei Song:
Towards Predicting Relevance Using a Quantum-Like Framework. ECIR 2011: 755-758 - [c62]Massimo Melucci:
Can Information Retrieval Systems Be Improved Using Quantum Probability? ICTIR 2011: 139-150 - [c61]Emanuele Di Buccio, Giorgio Maria Di Nunzio, Massimo Melucci, Nicola Orio:
Quantum Contextual Information Access and Retrieval. IIR 2011 - [c60]Massimo Melucci, Laurianne Sitbon:
Modeling Emergent Associations of Nominal Compound: Ongoing Research and Preliminary Results. IIR 2011 - [c59]Emanuele Di Buccio, Massimo Melucci, Dawei Song:
Combining Interaction and Content for Feedback-Based Ranking. IRFC 2011: 46-61 - [c58]Diederik Aerts, Peter Bruza, Yuexian Hou, Joemon M. Jose, Massimo Melucci, Jian-Yun Nie, Dawei Song:
Quantum Theory-Inspired Search. FET 2011: 278-280 - [p3]Massimo Melucci, Keith van Rijsbergen:
Quantum Mechanics and Information Retrieval. Advanced Topics in Information Retrieval 2011: 125-155 - [e6]Massimo Melucci, Ricardo Baeza-Yates:
Advanced Topics in Information Retrieval. The Information Retrieval Series 33, Springer 2011, ISBN 978-3-642-20945-1 [contents] - [e5]Massimo Melucci, Stefano Mizzaro, Gabriella Pasi:
Proceedings of the 2nd Italian Information Retrieval (IIR) Workshop, Milan, Italy, January 27-28, 2011. CEUR Workshop Proceedings 704, CEUR-WS.org 2011 [contents] - [e4]Dawei Song, Massimo Melucci, Ingo Frommholz, Peng Zhang, Lei Wang, Sachi Arafat:
Quantum Interaction - 5th International Symposium, QI 2011, Aberdeen, UK, June 26-29, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7052, Springer 2011, ISBN 978-3-642-24970-9 [contents] - [i3]Massimo Melucci:
Improving Ranking Using Quantum Probability. CoRR abs/1108.5491 (2011) - [i2]Massimo Melucci:
Getting Beyond the State of the Art of Information Retrieval with Quantum Theory. CoRR abs/1108.5575 (2011) - [i1]Massimo Melucci:
Probability Ranking in Vector Spaces. CoRR abs/1108.5784 (2011) - 2010
- [c57]Dawei Song, Mounia Lalmas, Keith van Rijsbergen, Ingo Frommholz, Benjamin Piwowarski, Jun Wang, Peng Zhang, Guido Zuccon, Peter Bruza, Sachi Arafat, Leif Azzopardi, Emanuele Di Buccio, Alvaro Francisco Huertas-Rosero, Yuexian Hou, Massimo Melucci, Stefan M. Rüger:
How Quantum Theory Is Developing the Field of Information Retrieval. AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes 2010 - [c56]Emanuele Di Buccio, Massimo Melucci:
Toward the design of a methodology to predict relevance through multiple sources of evidence. PIKM 2010: 83-86 - [c55]Maristella Agosti, Davide Cisco, Giorgio Maria Di Nunzio, Ivano Masiero, Massimo Melucci:
i-TEL-u: A Query Suggestion Tool for Integrating Heterogeneous Contexts in a Digital Library. ECDL 2010: 397-400 - [c54]Emanuele Di Buccio, Mounia Lalmas, Massimo Melucci:
From Entities to Geometry: Towards Exploiting Multiple Sources to Support Relevance Prediction. IIR 2010: 35-39 - [c53]Alberto Costa, Massimo Melucci:
An Information Retrieval Model Based on Discrete Fourier Transform. IRFC 2010: 84-99 - [c52]Massimo Melucci:
An Investigation of Quantum Interference in Information Retrieval. IRFC 2010: 136-151 - [c51]Emanuele Di Buccio, Massimo Melucci, Jian-Yun Nie:
Evaluation of a Methodology for Modeling Term Relationship through Geometry: Experiments at TREC 2010 Relevance Feedback Track. TREC 2010 - [e3]Massimo Melucci, Stefano Mizzaro, Gabriella Pasi:
IIR 2010 - Proceedings of the First Italian Information Retrieval Workshop, Padua, Italy, January 27-28, 2010. CEUR Workshop Proceedings 560, CEUR-WS.org 2010 [contents]
2000 – 2009
- 2009
- [c50]Massimo Melucci:
Weighted Rank Correlation in Information Retrieval Evaluation. AIRS 2009: 75-86 - [c49]Bich-Liên Doan, Joemon M. Jose, Massimo Melucci, Lynda Tamine-Lechani:
Workshop on Contextual Information Access, Seeking and Retrieval Evaluation. ECIR 2009: 801-802 - [c48]Emanuele Di Buccio, Ivano Masiero, Massimo Melucci:
Improving Information Retrieval Effectiveness in Peer-to-Peer Networks through Query Piggybacking. ECDL 2009: 420-424 - [c47]Emanuele Di Buccio, Ivano Masiero, Yosi Mass, Massimo Melucci, Riccardo Miotto, Nicola Orio, Benjamin Sznajder:
Towards an Integrated Approach to Music Retrieval. IRCDL 2009: 80-87 - [c46]Emanuele Di Buccio, Nicola Ferro, Massimo Melucci, Riccardo Miotto, Nicola Orio:
Design of an Information Retrieval System Based on the Peer-to-Peer Paradigm: An Application to Music Retrieval. IRCDL 2009: 100-107 - [c45]Emanuele Di Buccio, Massimo Melucci:
University of Padua at TREC 2009: Relevance Feedback Track. TREC 2009 - [r2]Massimo Melucci:
Boolean Model. Encyclopedia of Database Systems 2009: 260 - [r1]Massimo Melucci:
Vector-Space Model. Encyclopedia of Database Systems 2009: 3259-3263 - 2008
- [j18]Massimo Melucci:
A basis for information retrieval in context. ACM Trans. Inf. Syst. 26(3): 14:1-14:41 (2008) - [c44]Emanuele Di Buccio, Nicola Ferro, Massimo Melucci:
Content-based Information Retrieval in SPINA. IRCDL 2008: 89-92 - [c43]Emanuele Di Buccio, Nicola Ferro, Massimo Melucci:
Towards a Superimposed Peer Infrastructure for iNformation Access. SEBD 2008: 398-405 - [p2]Massimo Melucci:
Modeling Retrieval and Navigation in Context. Information Access through Search Engines and Digital Libraries 2008: 43-57 - [p1]Massimo Melucci, Nicola Orio:
Two Algorithms for Probabilistic Stemming. Information Access through Search Engines and Digital Libraries 2008: 59-74 - [e2]Bich-Liên Doan, Joemon M. Jose, Massimo Melucci:
Proceedings of the CIR'07 Workshop on Context-Based Information Retrieval in conjunction with CONTEXT-07, Roskilde, Denmark, 20 August 2007. CEUR Workshop Proceedings 326, CEUR-WS.org 2008 [contents] - 2007
- [j17]Massimo Melucci, Nicola Orio:
Design, implementation, and evaluation of a methodology for automatic stemmer generation. J. Assoc. Inf. Sci. Technol. 58(5): 673-686 (2007) - [j16]Alberto Apostolico, Ricardo A. Baeza-Yates, Massimo Melucci:
2004 Symposium on String Processing and Information Retrieval. J. Discrete Algorithms 5(2): 203 (2007) - [j15]Massimo Melucci:
On rank correlation in information retrieval evaluation. SIGIR Forum 41(1): 18-33 (2007) - [c42]Massimo Melucci:
Exploring a Mechanics for Context-Aware Information Retrieval. AAAI Spring Symposium: Quantum Interaction 2007: 122-125 - [c41]Massimo Melucci, Ryen W. White:
Utilizing a geometry of context for enhanced implicit feedback. CIKM 2007: 273-282 - [c40]Massimo Melucci, Ryen W. White:
Discovering Hidden Contextual Factors for Implicit Feedback. CIR 2007 - [c39]Massimo Melucci, Alberto Poggiani:
A Study of a Weighting Scheme for Information Retrieval in Hierarchical Peer-to-Peer Networks. ECIR 2007: 136-147 - [c38]Massimo Melucci, Luca Pretto:
PageRank: When Order Changes. ECIR 2007: 581-588 - [c37]Enrico Bragante, Massimo Melucci:
Homepage Finding in Hybrid Peer-to-Peer Networks. RIAO 2007: 510-528 - [c36]Maristella Agosti, Emanuele Di Buccio, Giorgio Maria Di Nunzio, Nicola Ferro, Massimo Melucci, Riccardo Miotto, Nicola Orio:
Distributed Information Retrieval and Automatic Identification of Music Works in SAPIR. SEBD 2007: 479-482 - 2006
- [j14]Massimo Melucci, David Hawking:
Introduction: A perspective on Web Information Retrieval. Inf. Retr. 9(2): 119-122 (2006) - [j13]Alberto Apostolico, Ricardo A. Baeza-Yates, Massimo Melucci:
Advances in information retrieval: An introduction to the special issue. Inf. Syst. 31(7): 569-572 (2006) - [j12]Fabio Crestani, Monica Landoni, Massimo Melucci:
Appearance and functionality of electronic books. Int. J. Digit. Libr. 6(2): 192-209 (2006) - [c35]Massimo Melucci:
Ranking in context using vector spaces. CIKM 2006: 866-867 - [c34]Michela Bacchin, Massimo Melucci:
Query Expansion Experiments in Biomedical Documents. IRCDL 2006: 58-66 - 2005
- [j11]Michela Bacchin, Nicola Ferro, Massimo Melucci:
A probabilistic model for stemmer generation. Inf. Process. Manag. 41(1): 121-137 (2005) - [c33]Roberto Castiglion, Massimo Melucci:
An evaluation of a recursive weighing scheme for information retrieval in peer-to-peer networks. P2PIR@CIKM 2005: 9-16 - [c32]Massimo Melucci:
Context modeling and discovery using vector space bases. CIKM 2005: 808-815 - [c31]