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Ferrari Dacrema, Maurizio
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1

Quantum Computing for Information Retrieval and Recommender..:

, In: Lecture Notes in Computer Science; Advances in Information Retrieval,
Ferrari Dacrema, Maurizio ; Pasin, Andrea ; Cremonesi, Paolo. - p. 358-362 , 2024
Link: https://doi.org/10.1007/..
 
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2

Analyzing the effectiveness of quantum annealing with meta-..:

Pellini, Riccardo ; Ferrari Dacrema, Maurizio
Quantum Machine Intelligence.  6 (2024)  2 - p. , 2024
Link: https://doi.org/10.1007/..
 
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3

Using and Evaluating Quantum Computing for Information Retr..:

, In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Ferrari Dacrema, Maurizio ; Pasin, Andrea ; Cremonesi, Paolo. - p. 3017-3020 , 2024
Link: https://dl.acm.org/doi/1..
 
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4

Pessimistic Rescaling and Distribution Shift of Boosting Mo..:

, In: Proceedings of the Recommender Systems Challenge 2023,
Basso, Paolo ; Benedetti, Arturo ; Cecere, Nicola... - p. 33-38 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

Workshop on Learning and Evaluating Recommendations with Im..:

, In: Proceedings of the 17th ACM Conference on Recommender Systems,
Ferrari Dacrema, Maurizio ; Castells, Pablo ; Basilico, Justin. - p. 1248-1251 , 2023
Link: https://dl.acm.org/doi/1..
 
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6

Benchmarking Adaptative Variational Quantum Algorithms on Q..:

, In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE),
Turati, Gloria ; Ferrari Dacrema, Maurizio ; Cremonesi, Paolo - p. 407-413 , 2023
Link: https://doi.org/10.1109/..
 
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7

qCLEF: A Proposal to Evaluate Quantum Annealing for Informa..:

, In: Lecture Notes in Computer Science; Experimental IR Meets Multilinguality, Multimodality, and Interaction,
Pasin, Andrea ; Ferrari Dacrema, Maurizio ; Cremonesi, Paolo. - p. 97-108 , 2023
Link: https://doi.org/10.1007/..
 
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8

An Evaluation Study of Generative Adversarial Networks for ..:

, In: Lecture Notes in Computer Science; Advances in Information Retrieval,
Pérez Maurera, Fernando Benjamín ; Ferrari Dacrema, Maurizio ; Cremonesi, Paolo - p. 671-685 , 2022
Link: https://doi.org/10.1007/..
 
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9

Lightweight Model for Session-Based Recommender Systems wit..:

, In: RecSys Challenge 2022,
Della Volpe, Nicola ; Mainetti, Lorenzo ; Martignetti, Alessio... - p. 18-23 , 2022
Link: https://dl.acm.org/doi/1..
 
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10

Towards the Evaluation of Recommender Systems with Impressi..:

, In: Proceedings of the 16th ACM Conference on Recommender Systems,
Perez Maurera, Fernando Benjamin ; Ferrari Dacrema, Maurizio ; Cremonesi, Paolo - p. 610-615 , 2022
Link: https://dl.acm.org/doi/1..
 
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11

Offline Evaluation of Recommender Systems in a User Interfa..:

Ferrari Dacrema, Maurizio ; Felicioni, Nicolò ; Cremonesi, Paolo
Frontiers in Big Data.  5 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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12

Towards Recommender Systems with Community Detection and Qu..:

, In: Proceedings of the 16th ACM Conference on Recommender Systems,
Nembrini, Riccardo ; Carugno, Costantino ; Ferrari Dacrema, Maurizio. - p. 579-585 , 2022
Link: https://dl.acm.org/doi/1..
 
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13

Towards Feature Selection for Ranking and Classification Ex..:

, In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Ferrari Dacrema, Maurizio ; Moroni, Fabio ; Nembrini, Riccardo... - p. 2814-2824 , 2022
Link: https://dl.acm.org/doi/1..
 
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14

Evaluating the job shop scheduling problem on a D-wave quan..:

Carugno, Costantino ; Ferrari Dacrema, Maurizio ; Cremonesi, Paolo
Scientific Reports.  12 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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15

A Methodology for the Offline Evaluation of Recommender Sys..:

, In: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization,
Felicioni, Nicolò ; Ferrari Dacrema, Maurizio ; Cremonesi, Paolo - p. 10-15 , 2021
Link: https://dl.acm.org/doi/1..
 
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