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Nicolas Collignon
Nicolas Collignon
head of research @ kale AI
Verified email at kale.ai - Homepage
Title
Cited by
Cited by
Year
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
1492021
The promise of low carbon freight benefits of cargo bikes in London
E Verlinghieri, I Itova, N Collignon, R Aldred
Possible, 2021
112021
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
72021
Evaluation of rich and explicit feedback for exploratory search
E Sørig, N Collignon, R Fiebrink, N Kando
ACM, 2019
32019
Epistemic drive and memory manipulations in explore-exploit problems.
N Collignon, C Lucas
CogSci, 1540-1546, 2019
32019
Hyperbolic embeddings for music taxonomy
M Astefanoaei, N Collignon
Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), 38-42, 2020
22020
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
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Articles 1–11