| Pytorch geometric temporal: Spatiotemporal signal processing with neural machine learning models B Rozemberczki, P Scherer, Y He, G Panagopoulos, A Riedel, ... Proceedings of the 30th ACM international conference on information …, 2021 | 168 | 2021 |
| The promise of low carbon freight benefits of cargo bikes in London E Verlinghieri, I Itova, N Collignon, R Aldred Possible, 2021 | 13 | 2021 |
| Articulatory features of phonemes pattern to iconic meanings: evidence from cross-linguistic ideophones AL Thompson, T Van Hoey, Y Do Cognitive Linguistics 32 (4), 563-608, 2021 | 9 | 2021 |
| Evaluation of rich and explicit feedback for exploratory search E Sørig, N Collignon, R Fiebrink, N Kando ACM, 2019 | 3 | 2019 |
| Epistemic drive and memory manipulations in explore-exploit problems. N Collignon, C Lucas CogSci, 1540-1546, 2019 | 3 | 2019 |
| Hyperbolic embeddings for music taxonomy M Astefanoaei, N Collignon Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), 38-42, 2020 | 2 | 2020 |
| Modelling the performance of delivery vehicles across urban micro-regions to accelerate the transition to cargo-bike logistics M Schrader, N Kumar, N Collignon, E Sørig, S Yoon, A Srivastava, K Xu, ... arXiv preprint arXiv:2301.12887, 2023 | | 2023 |
| Self-directed learning in new and changing environments: understanding human algorithms for exploration N Collignon The University of Edinburgh, 2020 | | 2020 |
| Modelling Individual Differences in Exploratory Strategies: Probing into the human epistemic drive N Collignon, C Lucas the 4th Multidisciplinary Conference on Reinforcement Learning and Decision …, 2019 | | 2019 |
| Towards Humane Feedback Mechanisms in Exploratory Search E Sørig, N Collignon, R Fiebrink, N Kando ACM, 2019 | | 2019 |
| Active Learning in Changing Environments N Collignon, C Lucas Machine Intelligence 20: Human-like Computing, 2016 | | 2016 |
Maria AstefanoaeiIT University of CopenhagenVerified email at itu.dk
