Only the publications authored by at least one ESR are listed below in order to show the impact of the training provided to our young researchers.
Aerts, D., Geriente, S., Moreira, C., & Sozzo, S. (2018). Testing Ambiguity and Machina Preferences Within a Quantum-theoretic Framework for Decision-making. In Journal of Mathematical Economics. http://doi.org/doi://10.1016/j.jmateco.2017.12.002
Aerts, D., Arguelles, J., Beltran, L., Geriente, S., de Bianchi, M. S., Sozzo, S., & Veloz, T. (2018). Spin and Wind Directions I: Identifying Entanglement in Nature and Cognition. In Foundations of Science, vol. 23, pp. 323-335.
Aerts, D., Arguelles, J., Beltran, L., Geriente, S., de Bianchi, M. S., Sozzo, S., & Veloz, T. (2018). Spin and Wind Directions II: A Bell State Quantum Model. In Foundations of Science, vol. 23, pp. 337-365.
Jaiswal, A. K. (2018). Investigating Interactive Information Retrieval via Information Foraging Theory. In Proceedings FDIA, ICTIR. Tianjin, China.
Holdack, G. (2018). On polyrepresentation, user interaction mapping and dynamic relevance. In Proceedings FDIA 2018.
Tiwari, P., & Melucci, M. (2019). Binary Classifier Inspired by Quantum Theory. In proceeding of AAAI 2019. Hawaii, USA.: AAAI.
Wang, B., Li, Q., Melucci, M., & Song, D. (2019). Semantic Hilbert Space for Text Representation Learning. In The Web Conference (WWW'19).
Li, Q., Wang, B., & Melucci, M. (2019). CNM: An Interpretable Complex-valued Network for Matching . In 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2019).
Younes, Y., & Schmitt, I. (2019). On quantum implication. Quantum Machine Intelligence. http://doi.org/10.1007/s42484-019-00005-6
Uprety, S., Dehdashti, S., Fell, L., Bruza, P., & Song, D. (2019). Modelling Dynamic Interactions Between Relevance Dimensions. ACM ICTIR. Santa Clara, California, USA: ACM. http://doi.org/10.1145/3341981.3344233
Jaiswal, A. K., Liu, H., & Frommholz, I. (2019). Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation. In Forum for Information Retrieval Evaluation (FIRE). Kolkata, India: ACM. http://doi.org/10.1145/3368567.3368583
Wang, D., Tiwari, P., & Bruza, P. (2019). Structural block driven - enhanced convolutional neural representation for relation extraction. http://doi.org/https://doi.org/10.1016/j.asoc.2019.105913
Uprety, S., Dehdashti, S., Fell, L., Bruza, P., & Song, D. (2019). Modelling Dynamic Interactions Between Relevance Dimensions. In The 5th ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR 2019), pp. 35-42. http://doi.org/10.1145/3341981.3344233
Jaiswal, A. K., Liu, H., & Frommholz, I. (2020). Utilising Information Foraging Theory for User Interaction with Image Query Auto-Completion. In Proceedings of 42nd European Conference on Information Retrieval (ECIR 2020). Lisbon, Portugal: Springer.
Li, Q., Gkoumas, D., Lioma, C., & Melucci, M. (2020). Quantum-inspired Multimodal Fusion for Video Sentiment Analysis. Information Fusion.
Uprety, S., Gkoumas, D., & Song, D. (2020). A Survey of Quantum Theory Inspired Approaches to Information Retrieval. ACM Computing Surveys. Vol 53(5), Article 98. http://doi.org/10.1145/3402179
Gkoumas, D., Li, Q., Lioma, C., Yu, Y., & Song, D. (2020). What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis. Information Fusion, 66, 184-197. http://doi.org/10.1016/j.inffus.2020.09.005
Uprety, S., Tiwari, P., Dehdashti, S., Fell, L., Bruza, P., & Song, D. (2020). Quantum-like Structure in Multidimensional Relevance Judgements. In The 42nd European Conference on Information Retrieval (ECIR2020). Springer. http://doi.org/10.1007/978-3-030-45439-5_48
Gkoumas, D., Li, Q., Dehdashti, S., Melucci, M., Yu, Y., & Song, D. (2021). Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis. In AAAI2021.
Beltran, L. (2021). Quantum Bose–Einstein Statistics for Indistinguishable Concepts in Human Language. Foundations Of Science. http://doi.org/https://doi.org/10.1007/s10699-021-09794-1
Aerts, D., & Beltran, L. (2022). Are Words the Quanta of Human Language? Extending the Domain of Quantum Cognition. Entropy, (24(1). http://doi.org/https://doi.org/10.3390/e24010006