• Aerts, D., Beltran, L., Geriente, S., de Bianchi, M. S., Sozzo, S., Van Sprundel, R., & Veloz, T. (2018). Quantum Theory Methods as a Possible Alternative for the Double-blind Gold Standard of Evidence-based Medicine: Outlining a New Research Program. In Foundations of Science.
  • Aerts, D., Arguelles, J. A., Beltran, L., Beltran, L., de Bianchi, M. S., Sozzo, S., & Veloz, T. (2017). Context and Interference Effects in the Combinations of Natural Concepts. Modeling and Using Context. Paris: Springer. http://doi.org/10.1007/978-3-319-57837-8_54
  • Aerts, D., Arguelles, J. A., Beltran, L., Beltran, L., de Bianchi, M. S., Sozzo, S., & Veloz, T. (2017). Testing Quantum Models of Conjunction Fallacy on the World Wide Web. International Journal Of Theoretical Physics, 56(12), 12. http://doi.org/10.1007/s10773-017-3288-8
  • Aerts, D., Arguelles, J. A., Beltran, L., Geriente, S., de Bianchi, M. S., Sozzo, S., & Veloz, T. (2019). Quantum entanglement in physical and cognitive systems: A conceptual analysis and a general representation. The European Physical Journal Plus Volume, 134. http://doi.org/https://doi.org/10.1140/epjp/i2019-12987-0
  • Aerts, D., & Beltran, L. (2019). Quantum Structure in Cognition: Human Language as a Boson Gas of Entangled Words. In Foundations of Science.
  • Lima, L. C., Wright, D., Augenstein, I., & Maistro, M. (2020). Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19. In Text REtrieval Conference (TREC) 2020. Retrieved from https://arxiv.org/abs/2011.12684
  • Augenstein, I., Lioma, C., Wang, D., Lima, L. C., Hansen, C., Hansen, C., & Simonsen, J. G. (2019). MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). http://doi.org/10.18653/v1/D19-1475
  • Aerts, D., Beltran, L., Geriente, S., & Sozzo, S. (2021). Quantum-Theoretic Modeling in Computer Science: A Complex Hilbert Space Model for Entangled Concepts in Corpuses of Documents. International Journal Of Theoretical Physics, 60(2), 710-726. http://doi.org/https://doi.org/10.1007/s10773-019-04155-y
  • Gkoumas, D., Uprety, S., & Song, D. (2018). Investigating non-classical correlations between decision fused multi-modal documents. Quantum Interaction 2018. Nice, France.
  • Jaiswal, A. K., Holdack, G., Frommholz, I., & Liu, H. (2018). Quantum-like Generalization of Complex Word Embedding: a lightweight approach for textual classification. In Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (LWDA). Mannheim, Germany: CEUR-WS.
  • Li, Q., Uprety, S., Wang, B., & Song, D. (2018). Quantum-inspired Complex Word Embedding. In ACL Third Wordshop on Representation Learning for NLP.
  • Jaiswal, A. K., Liu, H., & Frommholz, I. (2019). Effects of Foraging in Personalized Content-based Image Recommendation. In SIGIR - The 2nd International Workshop on ExplainAble Recommendation and Search (EARS 2019).
  • Wang, D., Li, Q., Lima, L. C., Simonsen, J. G., & Lioma, C. (2019). Contextual Compositionality Detection with External Knowledge Bases and Word Embeddings. In Companion Proceedings of the 2019 World Wide Web Conference (WWW ’19 Companion). San Francisco, CA, USA: ACM, New York, NY, USA.
  • Tiwari, P., & Melucci, M. (2019). Towards a Quantum-Inspired Binary Classifier. Ieee Access, 7, 19. http://doi.org/10.1109/ACCESS.2019.2904624
  • Li, Q., Melucci, M., & Tiwari, P. (2018). Quantum Language Model-based Query Expansion. In The 4th ACM SIGIR Informational Conference on the Theory of Information Retrieval, ICTIR 2018. Tianjin, China.
  • Tiwari, P., & Melucci, M. (2018). Multi-class Classification Model Inspired by Quantum Detection Theory. In Future Directions in Information Access (FDIA 2018). Tianjin, China.
  • Di Buccio, E., Li, Q., Melucci, M., & Tiwari, P. (2018). Binary Classification Model Inspired from Quantum Detection Theory. In The 4th ACM SIGIR Informational Conference on the Theory of Information Retrieval, ICTIR 2018. Tianjin, China. http://doi.org/10.1145/3234944.3234979
  • Tiwari, P., & Melucci, M. (2018). Towards a Quantum-Inspired Framework for Binary Classification. In Proceedings of CIKM. Turin, Italy: ACM Press.
  • Wang, D., Simonsen, J. G., Larsen, B., & Lioma, C. (2018). The Copenhagen Team Participation in the Factuality Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 Fact Checking Lab. In CLEF Fact Checking Lab.
  • Uprety, S., Su, Y., Song, D., & Li, J. (2018). Modeling Multidimensional User Relevance in IR using Vector Spaces. SIGIR '18 The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval.
  • Uprety, S., & Song, D. (2018). Investigating Order Effects in Multidimensional Relevance Judgment using Query Logs. The 4th ACM SIGIR Informational Conference on the Theory of Information Retrieval, ICTIR 2018. Tianjin, China.
  • Uprety, S., & Song, D. (2018). Reconciling Irrational Human Behavior with AI based Decision Making: A Quantum Probabilistic Approach. Proceedings of the 1st IJCAI-ECAI Workshop on AI and Computational Psychology: Theories, Algorithms and Applications (CompPsy).
  • Uprety, S., Gkoumas, D., & Song, D. (2018). Investigating Bell Inequalities in Multidimensional Relevance Judgment in Information Retrieval. Quantum Interaction.
  • Beltran, L., & Geriente, S. (2018). Quantum Entanglement in Corpuses of Documents. In submitted to Foundations of Science.
  • Aerts, D., Arguelles, J., Beltran, L., Distrito, I., de Bianchi, M. S., Sozzo, S., & Veloz, T. (2018). Towards a Quantum World Wide Web. In Theoretical Computer Science. http://doi.org/doi 10.1016/j.tcs.2018.03.019