Maurizio Ferrari Dacrema
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
8
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ECIR | QuantumCLEF 2026 The Third Edition of the Quantum Computing Lab at CLEF. | Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Washington Cunha, Marcos Andr Gonalves, Nicola Ferro |
| 2025 | ECIR | QuantumCLEF 2025 - The Second Edition of the Quantum Computing Lab at CLEF. | Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Washington Cunha, Marcos Andr Gonalves, Nicola Ferro |
| 2025 | QCE | On the Correct Implementation of the Walsh Series Loader. | Riccardo Pellini, Maurizio Ferrari Dacrema |
| 2025 | RecSys | A Hands-on Dive Into Quantum Computing for Recommender Systems. | Maurizio Ferrari Dacrema, Paolo Cremonesi |
| 2025 | SIGIR | A Worrying Reproducibility Study of Intent-Aware Recommendation Models. | Faisal Shehzad, Maurizio Ferrari Dacrema, Dietmar Jannach |
| 2024 | ECIR | Quantum Computing for Information Retrieval and Recommender Systems. | Maurizio Ferrari Dacrema, Andrea Pasin, Paolo Cremonesi, Nicola Ferro |
| 2024 | ECIR | QuantumCLEF - Quantum Computing at CLEF. | Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Nicola Ferro |
| 2024 | QCE | Adaptive Learning for Quantum Linear Regression. | Costantino Carugno, Maurizio Ferrari Dacrema, Paolo Cremonesi |
| 2024 | RecSys | Exploiting Contextual Normalizations and Article Endorsement for News Recommendation. | Andrea Alari, Lorenzo Campana, Federico Giuseppe Ciliberto, Saverio Maggese, Carlo Sgaravatti, Francesco Zanella, Andrea Pisani, Maurizio Ferrari Dacrema |
| 2024 | SIGIR | Using and Evaluating Quantum Computing for Information Retrieval and Recommender Systems. | Maurizio Ferrari Dacrema, Andrea Pasin, Paolo Cremonesi, Nicola Ferro |
| 2023 | QCE | Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances. | Gloria Turati, Maurizio Ferrari Dacrema, Paolo Cremonesi |
| 2023 | RecSys | Pessimistic Rescaling and Distribution Shift of Boosting Models for Impression-Aware Online Advertising Recommendation. | Paolo Basso, Arturo Benedetti, Nicola Cecere, Alessandro Maranelli, Salvatore Marragony, Samuele Peri, Andrea Riboni, Alessandro Verosimile, Davide Zanutto, Maurizio Ferrari Dacrema |
| 2023 | RecSys | Workshop on Learning and Evaluating Recommendations with Impressions (LERI). | Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi |
| 2022 | ECIR | An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering. | Fernando Benjamn Prez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi |
| 2022 | QCE | Virtual Network Function Embedding with Quantum Annealing. | Pietro Chiavassa, Andrea Marchesin, Ignazio Pedone, Maurizio Ferrari Dacrema, Paolo Cremonesi |
| 2022 | QCE | Feature Selection for Classification with QAOA. | Gloria Turati, Maurizio Ferrari Dacrema, Paolo Cremonesi |
| 2022 | RecSys | Towards the Evaluation of Recommender Systems with Impressions. | Fernando Benjamn Prez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi |
| 2022 | RecSys | Towards Recommender Systems with Community Detection and Quantum Computing. | Riccardo Nembrini, Costantino Carugno, Maurizio Ferrari Dacrema, Paolo Cremonesi |
| 2022 | SIGIR | Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers. | Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi |
| 2021 | AAAI | Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract). | Maurizio Ferrari Dacrema |
| 2021 | RecSys | Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment. | Luca Carminati, Giacomo Lodigiani, Pietro Maldini, Samuele Meta, Stiven Metaj, Arcangelo Pisa, Alessandro Sanvito, Mattia Surricchio, Fernando Benjamn Prez Maurera, Cesare Bernardis, Maurizio Ferrari Dacrema |
| 2021 | RecSys | Optimizing the Selection of Recommendation Carousels with Quantum Computing. | Maurizio Ferrari Dacrema, Nicol Felicioni, Paolo Cremonesi |
| 2020 | CIKM | Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems. | Maurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi, Dietmar Jannach |
| 2020 | CIKM | ContentWise Impressions: An Industrial Dataset with Impressions Included. | Fernando Benjamn Prez Maurera, Maurizio Ferrari Dacrema, Lorenzo Saule, Mario Scriminaci, Paolo Cremonesi |
| 2020 | IJCAI | Methodological Issues in Recommender Systems Research (Extended Abstract). | Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach |
| 2020 | RecSys | Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction. | Nicol Felicioni, Andrea Donati, Luca Conterio, Luca Bartoccioni, Davide Yi Xian Hu, Cesare Bernardis, Maurizio Ferrari Dacrema |
| 2019 | RecSys | Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. | Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi |
| 2019 | RecSys | Are we really making much progress? A worrying analysis of recent neural recommendation approaches. | Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach |
| 2019 | RecSys | Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank. | Edoardo D'Amico, Giovanni Gabbolini, Daniele Montesi, Matteo Moreschini, Federico Parroni, Federico Piccinini, Alberto Rossettini, Alessio Russo Introito, Cesare Bernardis, Maurizio Ferrari Dacrema |
| 2018 | IAS | Aggregating Models for Anomaly Detection in Space Systems: Results from the FCTMAS Study. | Francesco Amigoni, Maurizio Ferrari Dacrema, Alessandro Donati, Christian Laroque, Michle Lavagna, Alessandro Riva |
| 2018 | RecSys | Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario. | Sebastiano Antenucci, Simone Boglio, Emanuele Chioso, Ervin Dervishaj, Shuwen Kang, Tommaso Scarlatti, Maurizio Ferrari Dacrema |
| 2018 | RecSys | Deriving Item Features Relevance from Collaborative Domain Knowledge. | Maurizio Ferrari Dacrema, Alberto Gasparin, Paolo Cremonesi |