Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
  • Pellini R and Ferrari Dacrema M. (2024). Analyzing the effectiveness of quantum annealing with meta-learning. Quantum Machine Intelligence. 10.1007/s42484-024-00179-8. 6:2. Online publication date: 1-Dec-2024.

    https://link.springer.com/10.1007/s42484-024-00179-8

  • De Pauw J and Goethals B. The Role of Unknown Interactions in Implicit Matrix Factorization — A Probabilistic View. Proceedings of the 18th ACM Conference on Recommender Systems. (219-227).

    https://doi.org/10.1145/3640457.3688100

  • Vente T, Wegmeth L, Said A and Beel J. From Clicks to Carbon: The Environmental Toll of Recommender Systems. Proceedings of the 18th ACM Conference on Recommender Systems. (580-590).

    https://doi.org/10.1145/3640457.3688074

  • Zhang X, Shi S, Li Y, Ma W, Sun P and Zhang M. (2024). Feature-Enhanced Neural Collaborative Reasoning for Explainable Recommendation. ACM Transactions on Information Systems. 0:0.

    https://doi.org/10.1145/3690381

  • Mukhtar A, Jannach D and Wotawa F. (2024). Investigating Reproducibility in Deep Learning-Based Software Fault Prediction 2024 IEEE 24th International Conference on Software Quality, Reliability and Security (QRS). 10.1109/QRS62785.2024.00038. 979-8-3503-6563-4. (306-317).

    https://ieeexplore.ieee.org/document/10684635/

  • Vrijenhoek S, Daniil S, Sandel J and Hollink L. Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems. Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency. (573-584).

    https://doi.org/10.1145/3630106.3658926

  • Shehzad F and Jannach D. Performance Comparison of Session-Based Recommendation Algorithms Based on GNNs. Advances in Information Retrieval. (115-131).

    https://doi.org/10.1007/978-3-031-56066-8_12