Paulo Rauber
Paulo Rauber
Lecturer in Artificial Intelligence, Queen Mary University of London
Verified email at - Homepage
Cited by
Cited by
Visualizing the hidden activity of artificial neural networks
PE Rauber, SG Fadel, AX Falc„o, AC Telea
IEEE Transactions on Visualization and Computer Graphics 23, 2017
Visualizing Time-Dependent Data Using Dynamic t-SNE
PE Rauber, AX Falc„o, AC Telea
EuroVis Short Papers, 2016
Hindsight policy gradients
P Rauber, A Ummadisingu, F Mutz, J Schmidhuber
International Conference on Learning Representations, 2019
Graph Layouts by t‐SNE
JF Kruiger, PE Rauber, RM Martins, A Kerren, S Kobourov, AC Telea
Computer Graphics Forum 36 (3), 283-294, 2017
Projections as visual aids for classification system design
PE Rauber, AX Falc„o, AC Telea
Information visualization 17 (4), 282-305, 2017
Attribute-based visual explanation of multidimensional projections
RRO da Silva, PE Rauber, RM Martins, R Minghim, AC Telea
EuroVis Workshop on Visual Analytics, 2015
Interactive image feature selection aided by dimensionality reduction
PE Rauber, RRO Silva, S Feringa, ME Celebi, AX Falc„o, AC Telea
Proc. EuroVA, 54-61, 2015
Interactive segmentation by image foresting transform on superpixel graphs
PE Rauber, AX Falcao, TV Spina, PJ de Rezende
SIBGRAPI Conference on Graphics, Patterns and Images, 131-138, 2013
Efficient and Effective Automated Digital Hair Removal from Dermoscopy Images
J Koehoorn, A Sobiecki, P Rauber, A Jalba, A Telea
Mathematical Morphology - Theory and Applications, 2016
Beyond the Third Dimension: Visualizing High-Dimensional Data with Projections
RRO da Silva, PE Rauber, AC Telea
Computing in Science & Engineering 18 (5), 98-107, 2016
Metric Evolution Maps: Multidimensional Attribute-driven Exploration of Software Repositories
RRO da Silva, EF Vernier, PE Rauber, JLD Comba, R Minghim, AC Telea
International Symposium on Vision, Modeling and Visualization, 2016
Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients
P Rauber, A Ummadisingu, F Mutz, J Schmidhuber
Neural Computation 33 (6), 1498-1553, 2021
Visual Analytics Applied to Image Analysis: From Segmentation to Classification
PE Rauber
University of Groningen, 2017
Hardness in Markov Decision Processes: Theory and Practice
M Conserva, P Rauber
arXiv preprint arXiv:2210.13075, 2022
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits
A Ramesh, P Rauber, M Conserva, J Schmidhuber
Neural Computation 34 (11), 2232-2272, 2022
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