A simulated annealing approach for the joint order batching and order picker routing problem with weight restrictions EH Grosse, CH Glock, R Ballester-Ripoll International Journal of Operations and Quantitative Management 20 (2), 65-83, 2014 | 50 | 2014 |
Period selection for minimal hyperperiod in periodic task systems I Ripoll, R Ballester-Ripoll IEEE Transactions on Computers 62 (9), 1813-1822, 2012 | 37 | 2012 |
Task period selection to minimize hyperperiod V Brocal, P Balbastre, R Ballester, I Ripoll IEEE 16th Conference on Emerging Technologies & Factory Automation, 1-4, 2011 | 26 | 2011 |
TTHRESH: Tensor compression for multidimensional visual data R Ballester-Ripoll, P Lindstrom, R Pajarola IEEE transactions on visualization and computer graphics 26 (9), 2891-2903, 2019 | 24 | 2019 |
Lossy volume compression using Tucker truncation and thresholding R Ballester-Ripoll, R Pajarola The Visual Computer 32 (11), 1433-1446, 2016 | 24 | 2016 |
Analysis of tensor approximation for compression-domain volume visualization R Ballester-Ripoll, SK Suter, R Pajarola Computers & Graphics 47, 34-47, 2015 | 22 | 2015 |
Sobol tensor trains for global sensitivity analysis R Ballester-Ripoll, EG Paredes, R Pajarola Reliability Engineering & System Safety 183, 311-322, 2019 | 18 | 2019 |
Morphoproteomic Characterization of Lung Squamous Cell Carcinoma Fragmentation, a Histological Marker of Increased Tumor Invasiveness R Casanova, D Xia, U Rulle, P Nanni, J Grossmann, B Vrugt, R Wettstein, ... Cancer Research 77 (10), 2585-2593, 2017 | 12 | 2017 |
VIAN: A visual annotation tool for film analysis G Halter, R Ballester‐Ripoll, B Flueckiger, R Pajarola Computer Graphics Forum 38 (3), 119-129, 2019 | 8 | 2019 |
Multiresolution volume filtering in the tensor compressed domain R Ballester-Ripoll, D Steiner, R Pajarola IEEE transactions on visualization and computer graphics 24 (10), 2714-2727, 2017 | 8 | 2017 |
Deep learning tools for foreground-aware analysis of film colors B Flueckiger, N Evirgen, EG Paredes, R Ballester-Ripoll, R Pajarola AVinDH SIG, 2017 | 6 | 2017 |
A surrogate visualization model using the tensor train format R Ballester-Ripoll, EG Paredes, R Pajarola SIGGRAPH ASIA 2016 Symposium on Visualization, 1-8, 2016 | 5 | 2016 |
Tensor algorithms for advanced sensitivity metrics R Ballester-Ripoll, EG Paredes, R Pajarola SIAM/ASA Journal on Uncertainty Quantification 6 (3), 1172-1197, 2018 | 4 | 2018 |
Compressing Bidirectional Texture Functions via Tensor Train Decomposition R Ballester-Ripoll, R Pajarola Pacific Graphics Short Papers, 2016 | 4 | 2016 |
Tensor decompositions for integral histogram compression and look-up R Ballester-Ripoll, R Pajarola IEEE transactions on visualization and computer graphics 25 (2), 1435-1446, 2018 | 3 | 2018 |
Sa1611 Computer-Assisted Diagnosis of Confocal Laser Endomicroscopy (CLE) by a Novel Image Analysis and Semantic Annotation Method R Tous, R Ballester-Ripoll, J Delgado, R Kiesslich, M Goetz Gastrointestinal Endoscopy 75 (4), AB220, 2012 | 1 | 2012 |
Tensor Approximation for Multidimensional and Multivariate Data R Pajarola, SK Suter, R Ballester-Ripoll, H Yang Anisotropy Across Fields and Scales, 73, 2021 | | 2021 |
2019 Index IEEE Transactions on Visualization and Computer Graphics Vol. 25 K Aksit, AK Al-Awami, R Albert, UR Alim, R Alligier, S Alspaugh, T Amano, ... IEEE Transactions on Visualization and Computer Graphics 26 (2), 2020 | | 2020 |
2018 Index IEEE Transactions on Visualization and Computer Graphics Vol. 24 N Aage, GD Abowd, H Adams, M Agrawala, M Agus, Y Ahmadi, J Ahrens, ... IEEE Transactions on Visualization and Computer Graphics 25 (2), 1, 2019 | | 2019 |
Tensor Methods for Global Sensitivity Analysis R Ballester-Ripoll, EG Paredes, R Pajarola INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik–Informatik für …, 2019 | | 2019 |