Antonino Freno

19 papers A* 2A 5B 2Journal 4Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Semantic Filter Recommendation for eCommerce Search. CIKM Kilian Merkelbach, Antonino Freno
2018	—	`ch.`	Clothing Recommendations: The Zalando Case. Collaborative Recommendations Antonino Freno
2018	J	`jnl`	Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics. Neural Process. Lett. Marco Bongini, Antonino Freno, Vincenzo Laveglia, Edmondo Trentin
2017	A	`conf`	Practical Lessons from Developing a Large-Scale Recommender System at Zalando. RecSys Antonino Freno
2015	A*	`conf`	One-Pass Ranking Models for Low-Latency Product Recommendations. KDD Antonino Freno, Martin Saveski, Rodolphe Jenatton, Cédric Archambeau
2015	J	`jnl`	Techniques for dealing with incomplete data: a tutorial and survey. Pattern Anal. Appl. Marco Aste, Massimo Boninsegna, Antonino Freno, Edmondo Trentin
2012	—	`conf`	Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling. NIPS Antonino Freno, Mikaela Keller, Marc Tommasi
2012	A	`conf`	Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields. AISTATS Antonino Freno
2012	J	`jnl`	Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data CoRR Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi
2012	A	`conf`	Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. UAI Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi
2011	—	`book`	Hybrid Random Fields - A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models Antonino Freno, Edmondo Trentin
2011	—	`conf`	Learning to Rank Using Markov Random Fields. ICMLA (2) Antonino Freno, Tiziano Papini, Michelangelo Diligenti
2010	A	`conf`	Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation. ECAI Antonino Freno, Edmondo Trentin, Marco Gori
2009	J	`jnl`	A hybrid random field model for scalable statistical learning. Neural Networks Antonino Freno, Edmondo Trentin, Marco Gori
2009	—	`ch.`	Probabilistic Interpretation of Neural Networks for the Classification of Vectors, Sequences and Graphs. Innovations in Neural Information Paradigms and Applications Edmondo Trentin, Antonino Freno
2009	A*	`conf`	Scalable pseudo-likelihood estimation in hybrid random fields. KDD Antonino Freno, Edmondo Trentin, Marco Gori
2009	B	`conf`	Scalable statistical learning: A modular bayesian/markov network approach. IJCNN Antonino Freno, Edmondo Trentin, Marco Gori
2009	B	`conf`	Unsupervised nonparametric density estimation: A neural network approach. IJCNN Edmondo Trentin, Antonino Freno
2007	—	`conf`	Selecting Features by Learning Markov Blankets. KES (1) Antonino Freno