Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDBernard De Baets
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j316]Sigifredo Laengle, Valeria Lobos, José M. Merigó, Enrique Herrera-Viedma, Manuel J. Cobo, Bernard De Baets:
Forty years of Fuzzy Sets and Systems: A bibliometric analysis. Fuzzy Sets Syst. 402: 155-183 (2021)- [j315]Hua-Peng Zhang, Yao Ouyang, Bernard De Baets:
Constructions of uni-nullnorms and null-uninorms on a bounded lattice. Fuzzy Sets Syst. 403: 78-87 (2021) - [j314]Mengzi Tang, Raúl Pérez-Fernández, Bernard De Baets:
Distance metric learning for augmenting the method of nearest neighbors for ordinal classification with absolute and relative information. Inf. Fusion 65: 72-83 (2021) - 2020
- [j313]Michiel Stock, Tapio Pahikkala, Antti Airola, Willem Waegeman, Bernard De Baets:
Algebraic shortcuts for leave-one-out cross-validation in supervised network inference. Briefings Bioinform. 21(1): 262-271 (2020) - [j312]Gang Wang
, Gilbert Van Stappen, Bernard De Baets:
Automated Artemia length measurement using U-shaped fully convolutional networks and second-order anisotropic Gaussian kernels. Comput. Electron. Agric. 168 (2020) - [j311]Gang Wang, Carlos Lopez-Molina, Bernard De Baets:
Automated blob detection using iterative Laplacian of Gaussian filtering and unilateral second-order Gaussian kernels. Digit. Signal Process. 96 (2020) - [j310]Joris Van den Bossche, Bernard De Baets, Dick Botteldooren, Jan Theunis:
A spatio-temporal land use regression model to assess street-level exposure to black carbon. Environ. Model. Softw. 133: 104837 (2020) - [j309]Ignacio Montes, Michaël Rademaker, Raúl Pérez-Fernández, Bernard De Baets:
A correspondence between voting procedures and stochastic orderings. Eur. J. Oper. Res. 285(3): 977-987 (2020) - [j308]Silvia Muzzioli, Luca Gambarelli, Bernard De Baets:
Option implied moments obtained through fuzzy regression. Fuzzy Optim. Decis. Mak. 19(2): 211-238 (2020) - [j307]Hua-Peng Zhang, Raúl Pérez-Fernández, Bernard De Baets:
Fuzzy betweenness relations and their connection with fuzzy order relations. Fuzzy Sets Syst. 384: 1-22 (2020) - [j306]Hua-Peng Zhang, Raúl Pérez-Fernández, Bernard De Baets:
On the construction of fuzzy betweenness relations from metrics. Fuzzy Sets Syst. 390: 118-137 (2020) - [j305]J. J. Arias-García, Radko Mesiar, Bernard De Baets:
A hitchhiker's guide to quasi-copulas. Fuzzy Sets Syst. 393: 1-28 (2020) - [j304]Adam Dzedzej, Barbara Wolnik, Anna Nenca, Jan M. Baetens, Bernard De Baets:
Efficient enumeration of three-state two-dimensional number-conserving cellular automata. Inf. Comput. 274: 104534 (2020) - [j303]Wenwen Zong, Yong Su, Huawen Liu, Bernard De Baets:
On the construction of uninorms by paving. Int. J. Approx. Reason. 118: 96-111 (2020) - [j302]Lemnaouar Zedam, Nourelhouda Bakri, Bernard De Baets:
Closures and openings of ternary relations. Int. J. Gen. Syst. 49(7): 760-784 (2020) - [j301]Bac Nguyen, Bernard De Baets:
Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling. Neurocomputing 402: 209-219 (2020) - [j300]Mengzi Tang, Raúl Pérez-Fernández, Bernard De Baets:
Fusing absolute and relative information for augmenting the method of nearest neighbors for ordinal classification. Inf. Fusion 56: 128-140 (2020) - [j299]Chen Wang, Guohua Peng, Bernard De Baets:
Deep feature fusion through adaptive discriminative metric learning for scene recognition. Inf. Fusion 63: 1-12 (2020) - [j298]Barbara Wolnik, Bernard De Baets:
Ternary reversible number-conserving cellular automata are trivial. Inf. Sci. 513: 180-189 (2020) - [j297]Inma P. Cabrera, Pablo Cordero, Emilio Muñoz-Velasco, Manuel Ojeda-Aciego, Bernard De Baets:
Relational Galois connections between transitive digraphs: Characterization and construction. Inf. Sci. 519: 439-450 (2020) - [j296]Barbara Wolnik, Mrozek Nikodem, Adam Dzedzej, Bernard De Baets:
Three-dimensional Rotation-symmetric Number-conserving Cellular Automata. J. Cell. Autom. 15(4): 243-259 (2020) - [j295]Reza Ghanbari, Khatere Ghorbani-Moghadam, Nezam Mahdavi-Amiri, Bernard De Baets:
Fuzzy linear programming problems: models and solutions. Soft Comput. 24(13): 10043-10073 (2020) - [j294]Witold Bolt, Jan M. Baetens, Bernard De Baets:
Identification of Cellular Automata Based on Incomplete Observations With Bounded Time Gaps. IEEE Trans. Cybern. 50(3): 971-984 (2020) - [j293]Bac Nguyen, Carlos Morell, Bernard De Baets:
Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent. IEEE Trans. Cybern. 50(3): 1072-1083 (2020) - [j292]Marek Gagolewski, Raúl Pérez-Fernández, Bernard De Baets:
An Inherent Difficulty in the Aggregation of Multidimensional Data. IEEE Trans. Fuzzy Syst. 28(3): 602-606 (2020) - [j291]Gang Wang, Carlos Lopez-Molina, Bernard De Baets:
High-ISO Long-Exposure Image Denoising Based on Quantitative Blob Characterization. IEEE Trans. Image Process. 29: 5993-6005 (2020) - [c177]Mengzi Tang, Raúl Pérez-Fernández, Bernard De Baets:
Combining Absolute and Relative Information with Frequency Distributions for Ordinal Classification. IPMU (2) 2020: 594-602
2010 – 2019
- 2019
- [j290]Witold Bolt, Aleksander Bolt, Barbara Wolnik, Jan M. Baetens, Bernard De Baets:
A statistical approach to the identification of diploid cellular automata based on incomplete observations. Biosyst. 186 (2019) - [j289]Jasper Beernaerts, Ellen Debever, Matthieu Lenoir, Bernard De Baets, Nico Van de Weghe:
A method based on the Levenshtein distance metric for the comparison of multiple movement patterns described by matrix sequences of different length. Expert Syst. Appl. 115: 373-385 (2019) - [j288]J. J. Arias-García, Bernard De Baets:
On the lattice structure of the set of supermodular quasi-copulas. Fuzzy Sets Syst. 354: 74-83 (2019) - [j287]Bernard De Baets, Hans E. De Meyer, Tarad Jwaid:
On the degree of asymmetry of a quasi-copula with respect to a curve. Fuzzy Sets Syst. 354: 84-103 (2019) - [j286]Lemnaouar Zedam, Hassane Bouremel, Bernard De Baets:
Left- and right-compatibility of order relations and fuzzy tolerance relations. Fuzzy Sets Syst. 360: 65-81 (2019) - [j285]Ignacio Montes, Susana Montes, Bernard De Baets:
Multivariate winning probabilities. Fuzzy Sets Syst. 362: 129-143 (2019) - [j284]Bernard De Baets, Hans E. De Meyer:
Cutting levels of the winning probability relation of random variables pairwisely coupled by a same Frank copula. Int. J. Approx. Reason. 112: 22-36 (2019) - [j283]Raúl Pérez-Fernández, Bernard De Baets:
The acclamation consensus state and an associated ranking rule. Int. J. Intell. Syst. 34(6): 1223-1247 (2019) - [j282]Omar Barkat, Lemnaouar Zedam, Bernard De Baets:
On the Compatibility of a Ternary Relation with a Binary Fuzzy Relation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(4): 595-612 (2019) - [j281]Marc Sader, Jan Verwaeren, Raúl Pérez-Fernández, Bernard De Baets:
Integrating expert and novice evaluations for augmenting ordinal regression models. Inf. Fusion 51: 1-9 (2019) - [j280]Raúl Pérez-Fernández, Bernard De Baets, Marek Gagolewski:
A taxonomy of monotonicity properties for the aggregation of multidimensional data. Inf. Fusion 52: 322-334 (2019) - [j279]Bac Nguyen, Francesc J. Ferri, Carlos Morell, Bernard De Baets:
An efficient method for clustered multi-metric learning. Inf. Sci. 471: 149-163 (2019) - [j278]Marcin Dembowski, Barbara Wolnik, Witold Bolt, Jan M. Baetens, Bernard De Baets:
Two-dimensional Affine Continuous Cellular Automata Solving the Relaxed Density Classification Problem. J. Cell. Autom. 14(3-4): 191-212 (2019) - [j277]Gang Wang, Bernard De Baets:
Superpixel Segmentation Based on Anisotropic Edge Strength. J. Imaging 5(6): 57 (2019) - [j276]Gang Wang, Carlos Lopez-Molina, Bernard De Baets:
Multiscale Edge Detection Using First-Order Derivative of Anisotropic Gaussian Kernels. J. Math. Imaging Vis. 61(8): 1096-1111 (2019) - [j275]Aisling J. Daly, Ward Quaghebeur, Tim Depraetere, Jan M. Baetens, Bernard De Baets:
Lattice-based versus lattice-free individual-based models: impact on coexistence in competitive communities. Nat. Comput. 18(4): 855-864 (2019) - [j274]Gang Wang, Carlos Lopez-Molina, Guillermo Vidal-Diez de Ulzurrun, Bernard De Baets:
Noise-robust line detection using normalized and adaptive second-order anisotropic Gaussian kernels. Signal Process. 160: 252-262 (2019) - [j273]Gang Wang, Bernard De Baets:
Contour detection based on anisotropic edge strength and hierarchical superpixel contrast. Signal Image Video Process. 13(8): 1657-1665 (2019) - [j272]Raúl Pérez-Fernández, Bernard De Baets:
On the Role of Monometrics in Penalty-Based Data Aggregation. IEEE Trans. Fuzzy Syst. 27(7): 1456-1468 (2019) - [j271]Bac Nguyen, Bernard De Baets:
Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification. IEEE Trans. Image Process. 28(2): 589-600 (2019) - [j270]Bac Nguyen, Bernard De Baets:
Kernel-Based Distance Metric Learning for Supervised k-Means Clustering. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3084-3095 (2019) - [c176]Raúl Pérez-Fernández, Bernard De Baets:
Penalty-Based Aggregation of Strings. AGOP 2019: 212-222 - [c175]Chen Yang, Bernard De Baets, Carl Lachat:
From DIKW pyramid to graph database: a tool for machine processing of nutritional epidemiologic research data. BigData 2019: 5202-5205 - [c174]Mengzi Tang, Raúl Pérez-Fernández, Bernard De Baets:
Machine Learning Methods for Ordinal Classification with Additional Relative Information. BNAIC/BENELEARN 2019 - [c173]Gang Wang, Bernard De Baets:
Automated Artemia Detection and Length Measurement Using Deep Convolutional Networks. BNAIC/BENELEARN 2019 - [c172]Raúl Pérez-Fernández, Bernard De Baets:
A preliminary inquiry into the aggregation of compositional data. EUSFLAT Conf. 2019 - [c171]Lemnaouar Zedam, Bernard De Baets:
Transitivity properties of ternary fuzzy relations. EUSFLAT Conf. 2019 - [c170]Raúl Pérez-Fernández, Irene Díaz, Susana Montes, Bernard De Baets:
The Dominance, Covering and Supercovering Relations in the Context of Multiple Partially Specified Reciprocal Relations. IFSA/NAFIPS 2019: 483-492 - 2018
- [j269]Joris Van den Bossche, Bernard De Baets, Jan Verwaeren, Dick Botteldooren, Jan Theunis:
Development and evaluation of land use regression models for black carbon based on bicycle and pedestrian measurements in the urban environment. Environ. Model. Softw. 99: 58-69 (2018) - [j268]Davide Martinetti, Susana Montes, Susana Díaz, Bernard De Baets:
On a correspondence between probabilistic and fuzzy choice functions. Fuzzy Optim. Decis. Mak. 17(3): 247-264 (2018) - [j267]Bernard De Baets, Hans E. De Meyer:
The Frank inequality. Fuzzy Sets Syst. 335: 18-29 (2018) - [j266]J. J. Arias-García, Hans E. De Meyer, Bernard De Baets:
On the construction of radially symmetric copulas in higher dimensions. Fuzzy Sets Syst. 335: 30-47 (2018) - [j265]Laura De Miguel, Humberto Bustince, Bernard De Baets:
Convolution lattices. Fuzzy Sets Syst. 335: 67-93 (2018) - [j264]J. J. Arias-García, Radko Mesiar, Erich-Peter Klement, Susanne Saminger-Platz, Bernard De Baets:
Extremal Lipschitz continuous aggregation functions with a given diagonal section. Fuzzy Sets Syst. 346: 147-167 (2018) - [j263]Marc Sader, Raúl Pérez-Fernández, Lotta Kuuliala, Frank Devlieghere, Bernard De Baets:
A combined scoring and ranking approach for determining overall food quality. Int. J. Approx. Reason. 100: 161-176 (2018) - [j262]Lemnaouar Zedam, Raúl Pérez-Fernández, Hassane Bouremel, Bernard De Baets:
Clonal sets of a binary relation. Int. J. Gen. Syst. 47(4): 329-349 (2018) - [j261]Lemnaouar Zedam, Omar Barkat, Bernard De Baets:
Traces of ternary relations. Int. J. Gen. Syst. 47(4): 350-373 (2018) - [j260]Silvia Muzzioli, Luca Gambarelli, Bernard De Baets:
Indices for Financial Market Volatility Obtained Through Fuzzy Regression. Int. J. Inf. Technol. Decis. Mak. 17(6): 1659-1691 (2018) - [j259]Raúl Pérez-Fernández, Marc Sader, Bernard De Baets:
Joint consensus evaluation of multiple objects on an ordinal scale: An approach driven by monotonicity. Inf. Fusion 42: 64-74 (2018) - [j258]Wenwen Zong, Yong Su, Huawen Liu, Bernard De Baets:
On the structure of 2-uninorms. Inf. Sci. 467: 506-527 (2018) - [j257]Antoni Augustynowicz, Jan M. Baetens, Bernard De Baets, Adam Dzedzej, Anna Nenca, Barbara Wolnik:
A Note on the Reversibility of 2D Cellular Automata on Hexagonal Grids. J. Cell. Autom. 13(5-6): 521-525 (2018) - [j256]Bac Nguyen, Carlos Morell, Bernard De Baets:
Distance metric learning for ordinal classification based on triplet constraints. Knowl. Based Syst. 142: 17-28 (2018) - [j255]Marcin Dembowski, Barbara Wolnik, Witold Bolt, Jan M. Baetens, Bernard De Baets:
Affine continuous cellular automata solving the fixed-length density classification problem. Nat. Comput. 17(3): 467-477 (2018) - [j254]Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman:
A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression. Neural Comput. 30(8) (2018) - [j253]Bac Nguyen, Bernard De Baets:
An approach to supervised distance metric learning based on difference of convex functions programming. Pattern Recognit. 81: 562-574 (2018) - [j252]Raúl Pérez-Fernández, Bernard De Baets:
The supercovering relation, the pairwise winner, and more missing links between Borda and Condorcet. Soc. Choice Welf. 50(2): 329-352 (2018) - [j251]Inma P. Cabrera, Pablo Cordero, Francisca García-Pardo, Manuel Ojeda-Aciego, Bernard De Baets:
Galois Connections Between a Fuzzy Preordered Structure and a General Fuzzy Structure. IEEE Trans. Fuzzy Syst. 26(3): 1274-1287 (2018) - [c169]Aisling J. Daly, Ward Quaghebeur, Tim Depraetere, Jan M. Baetens, Bernard De Baets:
Coexistence in Three-Species Cyclic Competition: Lattice-Based Versus Lattice-Free Individual-Based Models. ACRI 2018: 115-124 - [c168]Hilde Vernieuwe, Bernard De Baets, Niko E. C. Verhoest:
Spatio-Temporal Drought Identification Through Mathematical Morphology. IPMU (2) 2018: 287-298 - [c167]Raúl Pérez-Fernández, Irene Díaz, Susana Montes, Bernard De Baets:
Monotonicity of a Profile of Rankings with Ties. IPMU (2) 2018: 313-322 - [c166]Raúl Pérez-Fernández, Bernard De Baets:
The Median Procedure as an Example of Penalty-Based Aggregation of Binary Relations. IPMU (2) 2018: 359-366 - [c165]Marc Sader, Raúl Pérez-Fernández, Bernard De Baets:
Combining Absolute and Relative Information in Studies on Food Quality. IPMU (2) 2018: 379-388 - [c164]Carlos Lopez-Molina, Javier Sanchez Ruiz de Gordoa, Victoria Zelaya-Huerta, Bernard De Baets:
Twofold Binary Image Consensus for Medical Imaging Meta-Analysis. IPMU (2) 2018: 389-400 - [c163]Bernard De Baets, Hans E. De Meyer:
Some Partial Order Relations on a Set of Random Variables. SMPS 2018: 42-45 - [c162]Hans E. De Meyer, Bernard De Baets:
Cycle-Free Cuts of the Reciprocal Relation Generated by Random Variables that are Pairwisely Coupled by a Frank Copula. SMPS 2018: 54-58 - [c161]Silvia Muzzioli, Luca Gambarelli, Bernard De Baets:
Towards a Fuzzy Index of Skewness. WILF 2018: 164-175 - [e4]Vicenç Torra, Radko Mesiar, Bernard De Baets:
Aggregation Functions in Theory and in Practice, 9th International Summer School on Aggregation Functions, Skövde, Sweden, 19-22 June 2017. Advances in Intelligent Systems and Computing 581, Springer 2018, ISBN 978-3-319-59305-0 [contents] - [i12]Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman:
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression. CoRR abs/1803.01575 (2018) - 2017
- [j250]Mike Vanderroost, Peter Ragaert, Jan Verwaeren, Bruno De Meulenaer, Bernard De Baets, Frank Devlieghere:
The digitization of a food package's life cycle: Existing and emerging computer systems in the pre-logistics phase. Comput. Ind. 87: 1-14 (2017) - [j249]Mike Vanderroost, Peter Ragaert, Jan Verwaeren, Bruno De Meulenaer, Bernard De Baets, Frank Devlieghere:
The digitization of a food package's life cycle: Existing and emerging computer systems in the logistics and post-logistics phase. Comput. Ind. 87: 15-30 (2017) - [j248]Inma P. Cabrera, Pablo Cordero, Francisca García-Pardo, Manuel Ojeda-Aciego, Bernard De Baets:
On the construction of adjunctions between a fuzzy preposet and an unstructured set. Fuzzy Sets Syst. 320: 81-92 (2017) - [j247]Davide Martinetti, Susana Montes, Susana Díaz, Bernard De Baets:
On the correspondence between reciprocal relations and strongly complete fuzzy relations. Fuzzy Sets Syst. 322: 19-34 (2017) - [j246]Raúl Pérez-Fernández, Michaël Rademaker, Pedro Alonso, Irene Díaz, Susana Montes, Bernard De Baets:
Monotonicity-based ranking on the basis of multiple partially specified reciprocal relations. Fuzzy Sets Syst. 325: 69-96 (2017) - [j245]J. J. Arias-García, Radko Mesiar, Bernard De Baets:
The unwalked path between quasi-copulas and copulas: Stepping stones in higher dimensions. Int. J. Approx. Reason. 80: 89-99 (2017) - [j244]Raúl Pérez-Fernández, Pedro Alonso, Irene Díaz, Susana Montes, Bernard De Baets:
Monotonicity-based consensus states for the monometric rationalisation of ranking rules and how they are affected by ties. Int. J. Approx. Reason. 91: 131-151 (2017) - [j243]Raúl Pérez-Fernández, Michaël Rademaker, Bernard De Baets:
Monometrics and their role in the rationalisation of ranking rules. Inf. Fusion 34: 16-27 (2017) - [j242]Hassane Bouremel, Raúl Pérez-Fernández, Lemnaouar Zedam, Bernard De Baets:
The clone relation of a binary relation. Inf. Sci. 382-383: 308-325 (2017) - [j241]Raúl Pérez-Fernández, Bernard De Baets:
Representations of votes based on pairwise information: Monotonicity versus consistency. Inf. Sci. 412: 87-100 (2017) - [j240]Bac Nguyen, Carlos Morell, Bernard De Baets:
Supervised distance metric learning through maximization of the Jeffrey divergence. Pattern Recognit. 64: 215-225 (2017) - [j239]Bac Nguyen, Carlos Morell, Bernard De Baets:
Distance metric learning with the Universum. Pattern Recognit. Lett. 100: 37-43 (2017) - [j238]Silvia Muzzioli, Bernard De Baets:
Fuzzy Approaches to Option Price Modeling. IEEE Trans. Fuzzy Syst. 25(2): 392-401 (2017) - [c160]Wenwen Zong, Yong Su, Huawen Liu, Bernard De Baets:
On the Construction of Associative, Commutative and Increasing Operations by Paving. AGOP 2017: 229-240 - [c159]Bac Nguyen, Carlos Morell, Bernard De Baets:
Distance metric learning: a two-phase approach. ESANN 2017 - [c158]Raúl Pérez-Fernández, Bernard De Baets:
Penalty-Based Aggregation Beyond the Current Confinement to Real Numbers: The Method of Kemeny Revisited. EUSFLAT/IWIFSGN (3) 2017: 171-180 - [c157]Carlos Lopez-Molina, Javier Montero, Humberto Bustince, Bernard De Baets:
Gradient Fusion Operators for Vector-Valued Image Processing. EUSFLAT/IWIFSGN (2) 2017: 430-442 - [c156]Gang Wang, Bernard De Baets:
Edge Detection Based on the Fusion of Multiscale Anisotropic Edge Strength Measurements. EUSFLAT/IWIFSGN (3) 2017: 530-536 - [c155]Laura De Miguel, Humberto Bustince, Bernard De Baets:
Convolution on Bounded Lattices. EUSFLAT/IWIFSGN (1) 2017: 585-596 - [c154]Silvia Muzzioli, Luca Gambarelli, Bernard De Baets:
Towards a fuzzy volatility index for the Italian market. FUZZ-IEEE 2017: 1-6 - [c153]Gang Wang, Carlos Lopez-Molina, Bernard De Baets:
Blob Reconstruction Using Unilateral Second Order Gaussian Kernels with Application to High-ISO Long-Exposure Image Denoising. ICCV 2017: 4827-4835 - [c152]Raúl Pérez-Fernández, Bernard De Baets:
The role of betweenness relations, monometrics and penalty functions in data aggregation. IFSA-SCIS 2017: 1-6 - [c151]Witold Bolt, Aleksander Bolt, Barbara Wolnik, Jan M. Baetens, Bernard De Baets:
A Statistical Approach to the Identification of Diploid Cellular Automata. TPNC 2017: 37-48 - 2016
- [j237]Gözde Ulutagay, Ronald R. Yager, Bernard De Baets, Tofigh Allahviranloo:
Forefront of Fuzzy Logic in Data Mining: Theory, Algorithms, and Applications. Adv. Fuzzy Syst. 2016: 3931582:1-3931582:2 (2016) - [j236]Michiel Stock, Krzysztof Dembczynski, Bernard De Baets, Willem Waegeman:
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models. Data Min. Knowl. Discov. 30(5): 1370-1394 (2016) - [j235]Shinji Fukuda, Bernard De Baets:
Data prevalence matters when assessing species' responses using data-driven species distribution models. Ecol. Informatics 32: 69-78 (2016) - [j234]Bernard De Baets, Lemnaouar Zedam, Azzedine Kheniche:
A clone-based representation of the fuzzy tolerance or equivalence relations a strict order relation is compatible with. Fuzzy Sets Syst. 296: 35-50 (2016) - [j233]Manuel Claeys Bouuaert, Bernard De Baets, Soetkin Vervust, Tijs Neutens, Philippe De Maeyer, Nico Van de Weghe:
Computation and visualisation of the accuracy of old maps using differential distortion analysis. Int. J. Geogr. Inf. Sci. 30(7): 1255-1280 (2016) - [j232]Raúl Pérez-Fernández, Michaël Rademaker, Pedro Alonso, Irene Díaz, Susana Montes, Bernard De Baets:
Representations of votes facilitating monotonicity-based ranking rules: From votrix to votex. Int. J. Approx. Reason. 73: 87-107 (2016) - [j231]Raúl Pérez-Fernández, Michaël Rademaker, Bernard De Baets:
The scorix: A popular representation of votes revisited. Int. J. Approx. Reason. 78: 241-251 (2016) - [j230]Azzedine Kheniche, Bernard De Baets, Lemnaouar Zedam:
Compatibility of Fuzzy Relations. Int. J. Intell. Syst. 31(3): 240-256 (2016) - [j229]Bac Nguyen, Carlos Morell, Bernard De Baets:
Large-scale distance metric learning for k-nearest neighbors regression. Neurocomputing 214: 805-814 (2016) - [j228]Ana Pradera, Gleb Beliakov, Humberto Bustince, Bernard De Baets:
A review of the relationships between implication, negation and aggregation functions from the point of view of material implication. Inf. Sci. 329: 357-380 (2016) - [j227]