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Antonino Freno
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2010 – 2019
- 2018
- [j3]Marco Bongini, Antonino Freno, Vincenzo Laveglia, Edmondo Trentin
:
Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics. Neural Process. Lett. 48(2): 733-768 (2018) - [p2]Antonino Freno:
Clothing Recommendations: The Zalando Case. Collaborative Recommendations 2018: 687-711 - 2017
- [c11]Antonino Freno:
Practical Lessons from Developing a Large-Scale Recommender System at Zalando. RecSys 2017: 251-259 - 2015
- [j2]Marco Aste, Massimo Boninsegna, Antonino Freno, Edmondo Trentin:
Techniques for dealing with incomplete data: a tutorial and survey. Pattern Anal. Appl. 18(1): 1-29 (2015) - [c10]Antonino Freno, Martin Saveski, Rodolphe Jenatton, Cédric Archambeau:
One-Pass Ranking Models for Low-Latency Product Recommendations. KDD 2015: 1789-1798 - 2012
- [c9]Antonino Freno, Mikaela Keller, Marc Tommasi:
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling. NIPS 2012: 1871-1879 - [c8]Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi:
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. UAI 2012: 265-274 - [c7]Antonino Freno:
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields. AISTATS 2012: 391-399 - [i1]Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi:
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. CoRR abs/1210.4860 (2012) - 2011
- [b1]Antonino Freno, Edmondo Trentin:
Hybrid Random Fields - A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models. Intelligent Systems Reference Library 15, Springer 2011, ISBN 978-3-642-20307-7, pp. 1-167 - [c6]Antonino Freno, Tiziano Papini, Michelangelo Diligenti:
Learning to Rank Using Markov Random Fields. ICMLA (2) 2011: 257-262 - 2010
- [c5]Antonino Freno, Edmondo Trentin, Marco Gori:
Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation. ECAI 2010: 427-432
2000 – 2009
- 2009
- [j1]Antonino Freno, Edmondo Trentin, Marco Gori:
A hybrid random field model for scalable statistical learning. Neural Networks 22(5-6): 603-613 (2009) - [c4]Antonino Freno, Edmondo Trentin, Marco Gori:
Scalable statistical learning: A modular bayesian/markov network approach. IJCNN 2009: 890-897 - [c3]Edmondo Trentin, Antonino Freno:
Unsupervised nonparametric density estimation: A neural network approach. IJCNN 2009: 3140-3147 - [c2]Antonino Freno, Edmondo Trentin, Marco Gori:
Scalable pseudo-likelihood estimation in hybrid random fields. KDD 2009: 319-328 - [p1]Edmondo Trentin, Antonino Freno:
Probabilistic Interpretation of Neural Networks for the Classification of Vectors, Sequences and Graphs. Innovations in Neural Information Paradigms and Applications 2009: 155-182 - 2007
- [c1]Antonino Freno:
Selecting Features by Learning Markov Blankets. KES (1) 2007: 69-76
Coauthor Index
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