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2020 – today
- 2022
[j340]Hua-Peng Zhang
, Zhudeng Wang, Yao Ouyang, Bernard De Baets:
A representation of nullnorms on a bounded lattice in terms of beam operations. Fuzzy Sets Syst. 427: 149-160 (2022)- 2021
- [j339]Ward Quaghebeur, Ingmar Nopens, Bernard De Baets:
Incorporating Unmodeled Dynamics Into First-Principles Models Through Machine Learning. IEEE Access 9: 22014-22022 (2021) - [j338]Michiel Stock, Bac Nguyen, Wouter Courtens, Hilbran Verstraete, Eric W. M. Stienen, Bernard De Baets:
Otolith identification using a deep hierarchical classification model. Comput. Electron. Agric. 180: 105883 (2021) - [j337]Michiel Stock, Laura Hoebeke, Bernard De Baets:
Disentangling the Information in Species Interaction Networks. Entropy 23(6): 703 (2021) - [j336]Gang Wang, Gilbert Van Stappen, Bernard De Baets:
Automated detection and counting of Artemia using U-shaped fully convolutional networks and deep convolutional networks. Expert Syst. Appl. 171: 114562 (2021) - [j335]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) - [j334]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) - [j333]Yao Ouyang, Hua-Peng Zhang, Bernard De Baets:
Ordinal sums of triangular norms on a bounded lattice. Fuzzy Sets Syst. 408: 1-12 (2021) - [j332]Hua-Peng Zhang, Mingxiu Wu, Zhudeng Wang, Yao Ouyang, Bernard De Baets:
A characterization of the classes Umin and Umax of uninorms on a bounded lattice. Fuzzy Sets Syst. 423: 107-121 (2021) - [j331]Amna Qayyum, Bernard De Baets, Muhammad Sulman Baig, Frank Witlox, Guy De Tré, Nico Van de Weghe:
The Point-Descriptor-Precedence representation for point configurations and movements. Int. J. Geogr. Inf. Sci. 35(7): 1374-1391 (2021) - [j330]Barbara Wolnik, Maciej Dziemianczuk, Bernard De Baets:
Recurrent Misconceptions in the Study of CA Reversibility on Triangular Grids. Int. J. Bifurc. Chaos 31(1): 2150014:1-2150014:6 (2021) - [j329]Lemnaouar Zedam, Bernard De Baets:
Transitive Closures of Ternary Fuzzy Relations. Int. J. Comput. Intell. Syst. 14(1): 1784-1795 (2021) - [j328]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) - [j327]Raúl Pérez-Fernández, Marek Gagolewski, Bernard De Baets:
On the aggregation of compositional data. Inf. Fusion 73: 103-110 (2021) - [j326]Tarad Jwaid, Hans E. De Meyer, A. Haj Ismail, Bernard De Baets:
Curved splicing of copulas. Inf. Sci. 556: 95-110 (2021) - [j325]Carlos Lopez-Molina, S. Iglesias-Rey, Humberto Bustince, Bernard De Baets:
On the role of distance transformations in Baddeley's Delta Metric. Inf. Sci. 569: 479-495 (2021) - [j324]Adam Dzedzej, Barbara Wolnik, Anna Nenca, Jan M. Baetens, Bernard De Baets:
Two-dimensional rotation-symmetric number-conserving cellular automata. Inf. Sci. 577: 599-621 (2021) - [j323]Mengzi Tang, Raúl Pérez-Fernández, Bernard De Baets:
A comparative study of machine learning methods for ordinal classification with absolute and relative information. Knowl. Based Syst. 230: 107358 (2021) - [j322]Norelhouda Bakri, Lemnaouar Zedam, Bernard De Baets:
Compositions of ternary relations. Kybernetika 57(3): 404-425 (2021) - [j321]Carlos Lopez-Molina, Cédric Marco-Detchart, Humberto Bustince, Bernard De Baets:
A survey on matching strategies for boundary image comparison and evaluation. Pattern Recognit. 115: 107883 (2021) - [j320]Chen Wang, Guohua Peng, Bernard De Baets:
A Distance-Constrained Semantic Autoencoder for Zero-Shot Remote Sensing Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 12545-12556 (2021) - [j319]Shuyun Yang, Hongying Zhang, Bernard De Baets, Moriba K. Jah, Guang Shi:
Quantitative Dominance-Based Neighborhood Rough Sets via Fuzzy Preference Relations. IEEE Trans. Fuzzy Syst. 29(3): 515-529 (2021) - [j318]Raúl Pérez-Fernández, Bernard De Baets:
Aggregation Theory Revisited. IEEE Trans. Fuzzy Syst. 29(4): 797-804 (2021) - [j317]Raúl Pérez-Fernández, Bernard De Baets, Marek Gagolewski, Juan Jesús Salamanca:
A Characterization of the Property of Orthomonotonicity. IEEE Trans. Fuzzy Syst. 29(9): 2828 (2021) - [j316]Maxime Van Haeverbeke, Michiel Stock, Bernard De Baets:
Practical Equivalent Electrical Circuit Identification for Electrochemical Impedance Spectroscopy Analysis With Gene Expression Programming. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [c181]Luca Gambarelli, Silvia Muzzioli, Bernard De Baets:
Towards new volatility measures for the EU stock market. WILF 2021 - [c180]Tullia Russo, Tindara Addabbo, Silvia Muzzioli, Bernard De Baets:
The development of the LGBT+ University Inclusion Index and its application to Italian universities. WILF 2021 - [i14]Dimitrios Iliadis, Bernard De Baets, Willem Waegeman:
Automated problem setting selection in multi-target prediction with AutoMTP. CoRR abs/2104.09967 (2021) - [i13]Nicolas Dewolf, Bernard De Baets, Willem Waegeman:
Well-calibrated prediction intervals for regression problems. CoRR abs/2107.00363 (2021) - 2020
- [j315]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) - [j314]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) - [j313]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) - [j312]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) - [j311]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) - [j310]Silvia Muzzioli, Luca Gambarelli, Bernard De Baets:
Option implied moments obtained through fuzzy regression. Fuzzy Optim. Decis. Mak. 19(2): 211-238 (2020) - [j309]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) - [j308]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) - [j307]J. J. Arias-García, Radko Mesiar, Bernard De Baets:
A hitchhiker's guide to quasi-copulas. Fuzzy Sets Syst. 393: 1-28 (2020) - [j306]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) - [j305]Gang Wang, Yong-guang Chen, Min Gao, Suo-chang Yang, Fu-qiang Feng, Bernard De Baets:
Boundary detection using unbiased sparseness-constrained colour-opponent response and superpixel contrast. IET Image Process. 14(13): 2976-2986 (2020) - [j304]Wenwen Zong, Yong Su, Huawen Liu, Bernard De Baets:
On the construction of uninorms by paving. Int. J. Approx. Reason. 118: 96-111 (2020) - [j303]Lemnaouar Zedam, Nourelhouda Bakri, Bernard De Baets:
Closures and openings of ternary relations. Int. J. Gen. Syst. 49(7): 760-784 (2020) - [j302]Bac Nguyen, Bernard De Baets:
Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling. Neurocomputing 402: 209-219 (2020) - [j301]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) - [j300]Chen Wang, Guohua Peng, Bernard De Baets:
Deep feature fusion through adaptive discriminative metric learning for scene recognition. Inf. Fusion 63: 1-12 (2020) - [j299]Barbara Wolnik, Bernard De Baets:
Ternary reversible number-conserving cellular automata are trivial. Inf. Sci. 513: 180-189 (2020) - [j298]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) - [j297]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) - [j296]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) - [j295]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) - [j294]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) - [j293]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) - [j292]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) - [c179]Gisele Helena Barboni Miranda, Jan M. Baetens, Aisling J. Daly, Odemir M. Bruno, Bernard De Baets:
Influence of Topology on the Dynamics of in Silico Ecosystems with Non-hierarchical Competition. ACRI 2020: 113-122 - [c178]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
- [j291]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) - [j290]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) - [j289]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) - [j288]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) - [j287]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) - [j286]Ignacio Montes, Susana Montes, Bernard De Baets:
Multivariate winning probabilities. Fuzzy Sets Syst. 362: 129-143 (2019) - [j285]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) - [j284]Raúl Pérez-Fernández, Bernard De Baets:
The acclamation consensus state and an associated ranking rule. Int. J. Intell. Syst. 34(6): 1223-1247 (2019) - [j283]Hanzel Grillo, M. M. E. Alemany, Ángel Ortiz Bas, Bernard De Baets:
Possibilistic compositions and state functions: application to the order promising process for perishables. Int. J. Prod. Res. 57(22): 7006-7031 (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) - [c177]Raúl Pérez-Fernández, Bernard De Baets:
Penalty-Based Aggregation of Strings. AGOP 2019: 212-222 - [c176]Chen Yang, Bernard De Baets, Carl Lachat:
From DIKW pyramid to graph database: a tool for machine processing of nutritional epidemiologic research data. IEEE BigData 2019: 5202-5205 - [c175]Mengzi Tang, Raúl Pérez-Fernández, Bernard De Baets:
Machine Learning Methods for Ordinal Classification with Additional Relative Information. BNAIC/BENELEARN 2019 - [c174]Mengzi Tang, Raúl Pérez-Fernández, Bernard De Baets:
Machine Learning Methods for Ordinal Classification with Additional Relative Information. BNAIC/BENELEARN (Selected Papers) 2019: 126-136 - [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]