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2020 – today
- 2024
[j385]Dimitrios Iliadis
, Marcel Wever, Bernard De Baets, Willem Waegeman:
Hyperparameter optimization of two-branch neural networks in multi-target prediction. Appl. Soft Comput. 165: 111957 (2024)- [j384]Dimitrios Iliadis, Bernard De Baets, Tapio Pahikkala, Willem Waegeman:
A comparison of embedding aggregation strategies in drug-target interaction prediction. BMC Bioinform. 25(1): 59 (2024) - [j383]Hamza Boughambouz, Lemnaouar Zedam, Bernard De Baets:
A holistic approach to the composition of ternary relations. Comput. Appl. Math. 43(2): 94 (2024) - [j382]Lander De Visscher, Bernard De Baets, Jan M. Baetens:
A critical review of common pitfalls and guidelines to effectively infer parameters of agent-based models using Approximate Bayesian Computation. Environ. Model. Softw. 172: 105905 (2024) - [j381]Yanyan Dong, Bin Pang, Bernard De Baets:
The pseudo-inverse of a monotone function between complete lattices and its use in generating t-norms and t-conorms. Fuzzy Sets Syst. 478: 108837 (2024) - [j380]Yao Ouyang, Hua-Peng Zhang, Zhudeng Wang, Bernard De Baets:
On the representation of internal uninorms on a bounded lattice. Fuzzy Sets Syst. 487: 108994 (2024) - [j379]Carlos Lopez-Molina, Sara Iglesias-Rey, Bernard De Baets:
Ultrametrics for context-aware comparison of binary images. Inf. Fusion 103: 102101 (2024) - [j378]Pieter Dewulf, Michiel Stock, Bernard De Baets:
Link Prediction in Stagewise Graphs. IEEE Trans. Knowl. Data Eng. 36(7): 3252-3264 (2024) - [i24]Sina Borzooei, Leonardo F. S. Scabini, Gisele Helena Barboni Miranda, Saba Daneshgar, Lukas Deblieck, Piet De Langhe, Odemir Martinez Bruno, Bernard De Baets, Ingmar Nopens, Elena Torfs:
Prediction of Activated Sludge Settling Characteristics from Microscopy Images with Deep Convolutional Neural Networks and Transfer Learning. CoRR abs/2402.09367 (2024) - [i23]Michiel Stock, Dimitri Boeckaerts, Pieter Dewulf, Steff Taelman, Maxime Van Haeverbeke, Wim Van Criekinge, Bernard De Baets:
Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data. CoRR abs/2402.17572 (2024) - [i22]Kallil M. C. Zielinski, Leonardo F. S. Scabini, Lucas Correia Ribas, Núbia Rosa da Silva, Hans Beeckman, Jan Verwaeren, Odemir M. Bruno, Bernard De Baets:
Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion. CoRR abs/2404.08585 (2024) - [i21]Leonardo F. S. Scabini, Andre Sacilotti, Kallil M. C. Zielinski, Lucas Correia Ribas, Bernard De Baets, Odemir M. Bruno:
A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis. CoRR abs/2406.06136 (2024) - 2023
- [j377]Nicolas Dewolf, Bernard De Baets, Willem Waegeman:
Valid prediction intervals for regression problems. Artif. Intell. Rev. 56(1): 577-613 (2023) - [j376]Elham Sadat Kashani, Saeed Bagheri Shouraki, Yaser Norouzi, Bernard De Baets:
A density-grid-based method for clustering k-dimensional data. Appl. Intell. 53(9): 10559-10573 (2023) - [j375]Maxime Van Haeverbeke, Bernard De Baets, Michiel Stock:
Evaluating the potential of Distribution of Relaxation Times analysis for plant agriculture. Comput. Electron. Agric. 213: 108249 (2023) - [j374]Arne Deloose, Glenn Gysels, Bernard De Baets, Jan Verwaeren:
Combining natural language processing and multidimensional classifiers to predict and correct CMMS metadata. Comput. Ind. 145: 103830 (2023) - [j373]Alicia Robles-Velasco, Pablo Cortés, Jesús Muñuzuri, Bernard De Baets:
Prediction of pipe failures in water supply networks for longer time periods through multi-label classification. Expert Syst. Appl. 213(Part): 119050 (2023) - [j372]Lemnaouar Zedam, Bernard De Baets:
Triangular norms on bounded trellises. Fuzzy Sets Syst. 462: 108468 (2023) - [j371]Inma P. Cabrera, Pablo Cordero, Emilio Muñoz-Velasco, Manuel Ojeda-Aciego, Bernard De Baets:
Fuzzy relational Galois connections between fuzzy transitive digraphs. Fuzzy Sets Syst. 463: 108456 (2023) - [j370]Yi Shi, Bin Pang, Bernard De Baets:
Fuzzy structures induced by fuzzy betweenness relations. Fuzzy Sets Syst. 466: 108443 (2023) - [j369]Zhudeng Wang, Yao Ouyang, Hua-Peng Zhang, Bernard De Baets:
A note on the representation theorem for nullnorms on bounded lattices. Fuzzy Sets Syst. 472: 108680 (2023) - [j368]Amna Qayyum, Bernard De Baets, Laure De Cock, Frank Witlox, Guy De Tré, Nico Van de Weghe:
Application of the Point-Descriptor-Precedence representation for micro-scale traffic analysis at a non-signalized T-junction. Geo spatial Inf. Sci. 26(3): 406-430 (2023) - [j367]Barbara Wolnik, Maciej Dziemianczuk, Bernard De Baets:
Non-uniform number-conserving elementary cellular automata. Inf. Sci. 626: 851-866 (2023) - [j366]Barbara Wolnik, Maciej Dziemianczuk, Bernard De Baets:
Non-uniform number-conserving elementary cellular automata on the infinite grid: A tale of the unexpected. Inf. Sci. 649: 119680 (2023) - [j365]Matthys Lucas Steyn, Tertius de Wet, Bernard De Baets, Stijn Luca:
A Nearest Neighbor Open-Set Classifier based on Excesses of Distance Ratios. J. Comput. Graph. Stat. 32(1): 319-328 (2023) - [j364]Feiqiang Liu, Xiaomin Yang, Bernard De Baets:
A deep recursive multi-scale feature fusion network for image super-resolution. J. Vis. Commun. Image Represent. 90: 103730 (2023) - [j363]Barbara Wolnik, Adam Dzedzej, Maciej Dziemianczuk, Aleksander Wardyn, Bernard De Baets:
An exploration of reversible septenary number-conserving cellular automata: a survey of known methods. Nat. Comput. 22(3): 463-475 (2023) - [j362]Leonardo F. S. Scabini, Kallil M. C. Zielinski, Lucas Correia Ribas, Wesley Nunes Gonçalves, Bernard De Baets, Odemir M. Bruno:
RADAM: Texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognit. 143: 109802 (2023) - [j361]Dimitrios Iliadis, Bernard De Baets, Willem Waegeman:
DeepMTP: A Python-based deep learning framework for multi-target prediction. SoftwareX 23: 101516 (2023) - [j360]Feiqiang Liu, Xiaomin Yang, Bernard De Baets:
Lightweight image super-resolution with a feature-refined network. Signal Process. Image Commun. 111: 116898 (2023) - [j359]Barbara Wolnik, Anna Nenca, Bernard De Baets:
A decomposition theorem for number-conserving multi-state cellular automata on triangular grids. Theor. Comput. Sci. 953: 113795 (2023) - [d1]Johannes De Groeve, Marco Salvatori, Emiel van Loon, Bernard De Baets, Nicolas Morellet, Stefano Focardi, Nadège C. Bonnot, Benedikt Gehr, Matteo Griggio, Marco Heurich, Max Kroeschel, Alain Licoppe, Paul Moorcroft, Luca Pedrotti, Johannes Signer, Nico Van de Weghe, Francesca Cagnacci:
Data from: Day versus night use of forest by red and roe deer as determined by Corine Land Cover and Copernicus Tree Cover Density: assessing use of geographic layers in movement ecology. Zenodo, 2023
- [i20]Leonardo F. S. Scabini, Kallil M. C. Zielinski, Lucas Correia Ribas, Wesley Nunes Gonçalves, Bernard De Baets, Odemir M. Bruno:
RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps. CoRR abs/2303.04554 (2023) - [i19]Nicolas Dewolf, Bernard De Baets, Willem Waegeman:
Heteroskedastic conformal regression. CoRR abs/2309.08313 (2023) - [i18]Pieter Dewulf, Michiel Stock, Bernard De Baets:
The Hyperdimensional Transform: a Holographic Representation of Functions. CoRR abs/2310.16065 (2023) - [i17]Pieter Dewulf, Bernard De Baets, Michiel Stock:
The Hyperdimensional Transform for Distributional Modelling, Regression and Classification. CoRR abs/2311.08150 (2023) - 2022
- [j358]Maxime Van Haeverbeke, Michiel Stock, Bernard De Baets:
Equivalent Electrical Circuits and Their Use Across Electrochemical Impedance Spectroscopy Application Domains. IEEE Access 10: 51363-51379 (2022) - [j357]Kirsten Van Huffel, Michiel Stock, Bernard De Baets:
BioCCP.jl: collecting coupons in combinatorial biotechnology. Bioinform. 38(4): 1144-1145 (2022) - [j356]Aisling J. Daly, Lander De Visscher, Jan M. Baetens, Bernard De Baets:
Quo vadis, agent-based modelling tools? Environ. Model. Softw. 157: 105514 (2022) - [j355]Chen Wang, Guohua Peng, Bernard De Baets:
Embedding metric learning into an extreme learning machine for scene recognition. Expert Syst. Appl. 203: 117505 (2022) - [j354]Mengzi Tang, Raúl Pérez-Fernández, Bernard De Baets:
Ordinal classification with a spectrum of information sources. Expert Syst. Appl. 208: 118163 (2022) - [j353]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) - [j352]Bernard De Baets, Hans E. De Meyer:
Maximal directions of monotonicity of an aggregation function. Fuzzy Sets Syst. 433: 54-78 (2022) - [j351]Tiago Mendonça da Costa, Weldon A. Lodwick, Bernard De Baets:
The Hukuhara difference, gH-difference and gH-division are not inclusion isotonic. Fuzzy Sets Syst. 435: 44-54 (2022) - [j350]Yao Ouyang, Hua-Peng Zhang, Zhudeng Wang, Bernard De Baets:
On triangular norms representable as ordinal sums based on interior operators on a bounded meet semilattice. Fuzzy Sets Syst. 439: 89-101 (2022) - [j349]Yexing Dan, Bao Qing Hu, Bernard De Baets:
Nullnorms on bounded lattices constructed by means of closure and interior operators. Fuzzy Sets Syst. 439: 142-156 (2022) - [j348]Hua-Peng Zhang, Yao Ouyang, Zhudeng Wang, Bernard De Baets:
A complete representation theorem for nullnorms on bounded lattices with ample illustrations. Fuzzy Sets Syst. 439: 157-169 (2022) - [j347]Yexing Dan, Bernard De Baets:
Lifting associative operations on subposets of a complete lattice. Fuzzy Sets Syst. 441: 286-309 (2022) - [j346]Maria Eugenia Cornejo, David Lobo, Jesús Medina, Bernard De Baets:
Bipolar equations on complete distributive symmetric residuated lattices: The case of a join-irreducible right-hand side. Fuzzy Sets Syst. 442: 92-108 (2022) - [j345]Yao Ouyang, Hua-Peng Zhang, Zhudeng Wang, Bernard De Baets:
Idempotent uninorms on a complete chain. Fuzzy Sets Syst. 448: 107-126 (2022) - [j344]Hua-Peng Zhang, Yao Ouyang, Zhudeng Wang, Bernard De Baets:
A characterization of idempotent nullnorms on bounded lattices. Inf. Sci. 586: 676-687 (2022) - [j343]Chen Wang, Guohua Peng, Bernard De Baets:
Joint global metric learning and local manifold preservation for scene recognition. Inf. Sci. 610: 938-956 (2022) - [j342]Dimitrios Iliadis, Bernard De Baets, Willem Waegeman:
Multi-target prediction for dummies using two-branch neural networks. Mach. Learn. 111(2): 651-684 (2022) - [j341]Chen Wang, Guohua Peng, Bernard De Baets:
Class-specific discriminative metric learning for scene recognition. Pattern Recognit. 126: 108589 (2022) - [c188]Sara Iglesias-Rey, Aitor Castillo-Lopez, Carlos Lopez-Molina, Bernard De Baets:
On the Role of Context-Awareness in Binary Image Comparison. HICSS 2022: 1-10 - [c187]Carlos Lopez-Molina, Laura De Miguel, Sara Iglesias-Rey, Humberto Bustince, Bernard De Baets:
Distance Transformations Based on Ordered Weighted Averaging Operators. HICSS 2022: 1-10 - [c186]Raúl Pérez-Fernández, Bernard De Baets:
Aggregation on a Cartesian Product of Bounded Partially Ordered Sets. IPMU (1) 2022: 3-10 - [c185]Inma P. Cabrera, Pablo Cordero, Emilio Muñoz-Velasco, Manuel Ojeda-Aciego, Bernard De Baets:
On the Definition of Fuzzy Relational Galois Connections Between Fuzzy Transitive Digraphs. IPMU (1) 2022: 100-106 - [c184]Felipe Antunes-Santos, Carlos Lopez-Molina, Arnau Mir-Fuentes, Maite Mendioroz, Bernard De Baets:
Content-Aware Image Smoothing Based on Fuzzy Clustering. IPMU (2) 2022: 443-454 - [i16]Leonardo F. S. Scabini, Bernard De Baets, Odemir M. Bruno:
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring. CoRR abs/2207.08148 (2022) - [i15]Dimitrios Iliadis, Marcel Wever, Bernard De Baets, Willem Waegeman:
Hyperparameter optimization in deep multi-target prediction. CoRR abs/2211.04362 (2022) - 2021
- [j340]Ward Quaghebeur, Ingmar Nopens, Bernard De Baets:
Incorporating Unmodeled Dynamics Into First-Principles Models Through Machine Learning. IEEE Access 9: 22014-22022 (2021) - [j339]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) - [j338]Michiel Stock, Laura Hoebeke, Bernard De Baets:
Disentangling the Information in Species Interaction Networks. Entropy 23(6): 703 (2021) - [j337]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) - [j336]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) - [j335]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) - [j334]Yao Ouyang, Hua-Peng Zhang, Bernard De Baets:
Ordinal sums of triangular norms on a bounded lattice. Fuzzy Sets Syst. 408: 1-12 (2021) - [j333]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) - [j332]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) - [j331]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) - [j330]Lemnaouar Zedam, Bernard De Baets:
Transitive Closures of Ternary Fuzzy Relations. Int. J. Comput. Intell. Syst. 14(1): 1784-1795 (2021) - [j329]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) - [j328]Raúl Pérez-Fernández, Marek Gagolewski, Bernard De Baets:
On the aggregation of compositional data. Inf. Fusion 73: 103-110 (2021) - [j327]Tarad Jwaid, Hans E. De Meyer, Abd Al Karim Haj Ismail, Bernard De Baets:
Curved splicing of copulas. Inf. Sci. 556: 95-110 (2021) - [j326]Carlos Lopez-Molina, Sara Iglesias-Rey, Humberto Bustince, Bernard De Baets:
On the role of distance transformations in Baddeley's Delta Metric. Inf. Sci. 569: 479-495 (2021) - [j325]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) - [j324]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) - [j323]Norelhouda Bakri, Lemnaouar Zedam, Bernard De Baets:
Compositions of ternary relations. Kybernetika 57(3): 404-425 (2021) - [j322]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) - [j321]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) - [j320]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) - [j319]Raúl Pérez-Fernández, Bernard De Baets:
Aggregation Theory Revisited. IEEE Trans. Fuzzy Syst. 29(4): 797-804 (2021) - [j318]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) - [j317]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) - [c183]Luca Gambarelli, Silvia Muzzioli, Bernard De Baets:
Towards new volatility measures for the EU stock market. WILF 2021 - [c182]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
- [j316]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) - [j315]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) - [j314]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) - [j313]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) - [j312]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) - [j311]Silvia Muzzioli, Luca Gambarelli, Bernard De Baets:
Option implied moments obtained through fuzzy regression. Fuzzy Optim. Decis. Mak. 19(2): 211-238 (2020) - [j310]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) - [j309]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) - [j308]J. J. Arias-García, Radko Mesiar, Bernard De Baets:
A hitchhiker's guide to quasi-copulas. Fuzzy Sets Syst. 393: 1-28 (2020) - [j307]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) - [j306]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) - [j305]Wenwen Zong, Yong Su, Huawen Liu, Bernard De Baets:
On the construction of uninorms by paving. Int. J. Approx. Reason. 118: 96-111 (2020) - [j304]Lemnaouar Zedam, Nourelhouda Bakri, Bernard De Baets:
Closures and openings of ternary relations. Int. J. Gen. Syst. 49(7): 760-784 (2020) - [j303]Bac Nguyen, Bernard De Baets:
Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling. Neurocomputing 402: 209-219 (2020) - [j302]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) - [j301]Chen Wang, Guohua Peng, Bernard De Baets:
Deep feature fusion through adaptive discriminative metric learning for scene recognition. Inf. Fusion 63: 1-12 (2020) - [j300]Barbara Wolnik, Bernard De Baets:
Ternary reversible number-conserving cellular automata are trivial. Inf. Sci. 513: 180-189 (2020) - [j299]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) - [j298]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) - [j297]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) - [j296]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) - [j295]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) - [j294]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) - [j293]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) - [c181]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 - [c180]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
- [j292]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) - [j291]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) - [j290]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) - [j289]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) - [j288]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) - [j287]Ignacio Montes, Susana Montes, Bernard De Baets:
Multivariate winning probabilities. Fuzzy Sets Syst. 362: 129-143 (2019) - [j286]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) - [j285]Raúl Pérez-Fernández, Bernard De Baets:
The acclamation consensus state and an associated ranking rule. Int. J. Intell. Syst. 34(6): 1223-1247 (2019) - [j284]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) - [j283]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) - [j282]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) - [j281]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) - [j280]Bac Nguyen, Francesc J. Ferri, Carlos Morell, Bernard De Baets:
An efficient method for clustered multi-metric learning. Inf. Sci. 471: 149-163 (2019) - [j279]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) - [j278]Gang Wang, Bernard De Baets:
Superpixel Segmentation Based on Anisotropic Edge Strength. J. Imaging 5(6): 57 (2019) - [j277]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) - [j276]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) - [j275]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) - [j274]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) - [j273]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) - [j272]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) - [j271]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) - [c179]Raúl Pérez-Fernández, Bernard De Baets:
Penalty-Based Aggregation of Strings. AGOP 2019: 212-222 - [c178]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 - [c177]Mengzi Tang, Raúl Pérez-Fernández, Bernard De Baets:
Machine Learning Methods for Ordinal Classification with Additional Relative Information. BNAIC/BENELEARN 2019 - [c176]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 - [c175]Gang Wang, Bernard De Baets:
Automated Artemia Detection and Length Measurement Using Deep Convolutional Networks. BNAIC/BENELEARN 2019 - [c174]Raúl Pérez-Fernández, Bernard De Baets:
A preliminary inquiry into the aggregation of compositional data. EUSFLAT Conf. 2019 - [c173]Lemnaouar Zedam, Bernard De Baets:
Transitivity properties of ternary fuzzy relations. EUSFLAT Conf. 2019 - [c172]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
- [j270]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) - [j269]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) - [j268]Bernard De Baets, Hans E. De Meyer:
The Frank inequality. Fuzzy Sets Syst. 335: 18-29 (2018) - [j267]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) - [j266]Laura De Miguel, Humberto Bustince, Bernard De Baets:
Convolution lattices. Fuzzy Sets Syst. 335: 67-93 (2018) - [j265]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) - [j264]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) - [j263]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) - [j262]Lemnaouar Zedam, Omar Barkat, Bernard De Baets:
Traces of ternary relations. Int. J. Gen. Syst. 47(4): 350-373 (2018) - [j261]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) - [j260]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) - [j259]Carlos Lopez-Molina, Javier Montero, Humberto Bustince, Bernard De Baets:
Self-adapting weighted operators for multiscale gradient fusion. Inf. Fusion 44: 136-146 (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) - [c171]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 - [c170]Hilde Vernieuwe, Bernard De Baets, Niko E. C. Verhoest:
Spatio-Temporal Drought Identification Through Mathematical Morphology. IPMU (2) 2018: 287-298 - [c169]Raúl Pérez-Fernández, Irene Díaz, Susana Montes, Bernard De Baets:
Monotonicity of a Profile of Rankings with Ties. IPMU (2) 2018: 313-322 - [c168]Raúl Pérez-Fernández, Bernard De Baets:
The Median Procedure as an Example of Penalty-Based Aggregation of Binary Relations. IPMU (2) 2018: 359-366 - [c167]Marc Sader, Raúl Pérez-Fernández, Bernard De Baets:
Combining Absolute and Relative Information in Studies on Food Quality. IPMU (2) 2018: 379-388 - [c166]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 - [c165]Bernard De Baets, Hans E. De Meyer:
Some Partial Order Relations on a Set of Random Variables. SMPS 2018: 42-45 - [c164]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 - [c163]Silvia Muzzioli, Luca Gambarelli, Bernard De Baets:
Towards a Fuzzy Index of Skewness. WILF 2018: 164-175 - [e5]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) - [c162]Wenwen Zong, Yong Su, Huawen Liu, Bernard De Baets:
On the Construction of Associative, Commutative and Increasing Operations by Paving. AGOP 2017: 229-240 - [c161]Bac Nguyen, Carlos Morell, Bernard De Baets:
Distance metric learning: a two-phase approach. ESANN 2017 - [c160]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 - [c159]Carlos Lopez-Molina, Javier Montero, Humberto Bustince, Bernard De Baets:
Gradient Fusion Operators for Vector-Valued Image Processing. EUSFLAT/IWIFSGN (2) 2017: 430-442 - [c158]Gang Wang, Bernard De Baets:
Edge Detection Based on the Fusion of Multiscale Anisotropic Edge Strength Measurements. EUSFLAT/IWIFSGN (3) 2017: 530-536 - [c157]Laura De Miguel, Humberto Bustince, Bernard De Baets:
Convolution on Bounded Lattices. EUSFLAT/IWIFSGN (1) 2017: 585-596 - [c156]Silvia Muzzioli, Luca Gambarelli, Bernard De Baets:
Towards a fuzzy volatility index for the Italian market. FUZZ-IEEE 2017: 1-6 - [c155]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 - [c154]Raúl Pérez-Fernández, Bernard De Baets:
The role of betweenness relations, monometrics and penalty functions in data aggregation. IFSA-SCIS 2017: 1-6 - [c153]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]J. J. Arias-García, Hans E. De Meyer, Bernard De Baets:
Multivariate upper semilinear copulas. Inf. Sci. 360: 289-300 (2016) - [j226]Núbia Rosa da Silva, Jan M. Baetens, Marcos William da Silva Oliveira, Bernard De Baets, Odemir Martinez Bruno:
Classification of cellular automata through texture analysis. Inf. Sci. 370-371: 33-49 (2016) - [j225]Jan M. Baetens, Wouter Van der Meeren, Bernard De Baets:
On the Dynamics of Stochastic Elementary Cellular Automata. J. Cell. Autom. 12(1-2): 63-80 (2016) - [j224]Carlos Lopez-Molina, Bernard De Baets, Humberto Bustince:
Twofold consensus for boundary detection ground truth. Knowl. Based Syst. 98: 162-171 (2016) - [j223]Humberto Bustince, Edurne Barrenechea, Miguel Pagola, Javier Fernández, Zeshui Xu, Benjamín R. C. Bedregal, Javier Montero, Hani Hagras, Francisco Herrera, Bernard De Baets:
A Historical Account of Types of Fuzzy Sets and Their Relationships. IEEE Trans. Fuzzy Syst. 24(1): 179-194 (2016) - [j222]Carlos Lopez-Molina, Humberto Bustince, Bernard De Baets:
Separability Criteria for the Evaluation of Boundary Detection Benchmarks. IEEE Trans. Image Process. 25(3): 1047-1055 (2016) - [c152]Barbara Wolnik, Marcin Dembowski, Witold Bolt, Jan M. Baetens, Bernard De Baets:
The Density Classification Problem in the Context of Continuous Cellular Automata. ACRI 2016: 79-87 - [c151]Jan M. Baetens, Bernard De Baets:
A Spatial Sensitivity Analysis of a Spatially Explicit Model for Myxomatosis in Belgium. ACRI 2016: 91-100 - [c150]Inma P. Cabrera, Pablo Cordero, Francisca García-Pardo, Manuel Ojeda-Aciego, Bernard De Baets:
On the Existence of Right Adjoints for Surjective Mappings between Fuzzy Structures. CLA 2016: 97-108 - [c149]Carlos Lopez-Molina, Cédric Marco-Detchart, Laura De Miguel, Humberto Bustince, Javier Fernández, Bernard De Baets:
A bilateral schema for interval-valued image differentiation. FUZZ-IEEE 2016: 516-523 - [c148]José De Jesús Arias García, Hans E. De Meyer, Bernard De Baets:
On the Construction of Radially Symmetric Trivariate Copulas. SMPS 2016: 9-15 - [p9]Witold Bolt, Barbara Wolnik, Jan M. Baetens, Bernard De Baets:
On the Identification of α-Asynchronous Cellular Automata in the Case of Partial Observations with Spatially Separated Gaps. Challenging Problems and Solutions in Intelligent Systems 2016: 23-36 - [i11]Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman:
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method. CoRR abs/1606.04275 (2016) - [i10]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. CoRR abs/1606.04278 (2016) - 2015
- [j221]Laura Giustarini, Hilde Vernieuwe, Jan Verwaeren, Marco Chini, Renaud Hostache, Patrick Matgen, Niko E. C. Verhoest, Bernard De Baets:
Accounting for image uncertainty in SAR-based flood mapping. Int. J. Appl. Earth Obs. Geoinformation 34: 70-77 (2015) - [j220]Jan Verwaeren, Pieter Van der Weeën, Bernard De Baets:
A search grid for parameter optimization as a byproduct of model sensitivity analysis. Appl. Math. Comput. 261: 8-27 (2015) - [j219]Michaël Vyverman, Bernard De Baets, Veerle Fack, Peter Dawyndt:
A Long Fragment Aligner called ALFALFA. BMC Bioinform. 16: 159:1-159:11 (2015) - [j218]E. Colman, Willem Waegeman, Bernard De Baets, Veerle Fievez:
Prediction of subacute ruminal acidosis based on milk fatty acids: A comparison of linear discriminant and support vector machine approaches for model development. Comput. Electron. Agric. 111: 179-185 (2015) - [j217]Jeaneth Machicao, Jan M. Baetens, Anderson G. Marco, Bernard De Baets, Odemir M. Bruno:
A dynamical systems approach to the discrimination of the modes of operation of cryptographic systems. Commun. Nonlinear Sci. Numer. Simul. 29(Issues): 102-115 (2015) - [j216]Tarad Jwaid, Bernard De Baets, Hans E. De Meyer:
Semiquadratic copulas based on horizontal and vertical interpolation. Fuzzy Sets Syst. 264: 3-21 (2015) - [j215]Silvia Muzzioli, A. Ruggieri, Bernard De Baets:
A comparison of fuzzy regression methods for the estimation of the implied volatility smile function. Fuzzy Sets Syst. 266: 131-143 (2015) - [j214]Bernard De Baets, Hans E. De Meyer, Jana Kalická, Radko Mesiar:
On the relationship between modular functions and copulas. Fuzzy Sets Syst. 268: 110-126 (2015) - [j213]Bernard De Baets, Didier Dubois, Eyke Hüllermeier:
Editorial. Fuzzy Sets Syst. 281: 1-3 (2015) - [j212]Bernard De Baets, Karel De Loof, Hans E. De Meyer:
A frequentist view on cycle-transitivity of reciprocal relations. Fuzzy Sets Syst. 281: 198-218 (2015) - [j211]Seyed H. Chavoshi, Bernard De Baets, Yi Qiang, Guy De Tré, Tijs Neutens, Nico Van de Weghe:
A Qualitative Approach to the Identification, Visualisation and Interpretation of Repetitive Motion Patterns in Groups of Moving Point Objects. Int. Arab J. Inf. Technol. 12(5): 415-423 (2015) - [j210]Jan Verwaeren, Michaël Rademaker, Bernard De Baets:
An interval estimator for the unmixing of mixtures with set-based source descriptions. Int. J. Approx. Reason. 60: 71-92 (2015) - [j209]Seyed H. Chavoshi, Bernard De Baets, Tijs Neutens, Matthias Delafontaine, Guy De Tré, Nico Van de Weghe:
Movement Pattern Analysis Based on Sequence Signatures. ISPRS Int. J. Geo Inf. 4(3): 1605-1626 (2015) - [j208]Núbia Rosa da Silva, Pieter Van der Weeën, Bernard De Baets, Odemir Martinez Bruno:
Improved texture image classification through the use of a corrosion-inspired cellular automaton. Neurocomputing 149: 1560-1572 (2015) - [j207]Witold Bolt, Jan M. Baetens, Bernard De Baets:
On the decomposition of stochastic cellular automata. J. Comput. Sci. 11: 245-257 (2015) - [j206]Carlos Lopez-Molina, Guillermo Vidal-Diez de Ulzurrun, Jan M. Baetens, J. Van den Bulcke, Bernard De Baets:
Unsupervised ridge detection using second order anisotropic Gaussian kernels. Signal Process. 116: 55-67 (2015) - [j205]Niko E. C. Verhoest, Martinus Johannes van den Berg, Brecht Martens, Hans Lievens, Eric F. Wood, Ming Pan, Yann H. Kerr, Ahmad Al Bitar, Sat Kumar Tomer, Matthias Drusch, Hilde Vernieuwe, Bernard De Baets, Jeffrey P. Walker, Gift Dumedah, Valentijn R. N. Pauwels:
Copula-Based Downscaling of Coarse-Scale Soil Moisture Observations With Implicit Bias Correction. IEEE Trans. Geosci. Remote. Sens. 53(6): 3507-3521 (2015) - [c147]Bernard De Baets:
The Role of Aggregation Functions in Fuzzy Relational Calculus. AGOP 2015: 15 - [c146]Laura De Miguel, Humberto Bustince, Javier Fernández, Anna Kolesárová, Radko Mesiar, Bernard De Baets:
Construction of Admissible Orders for Intervals. AGOP 2015: 91-95 - [c145]Witold Bolt, Jan M. Baetens, Bernard De Baets:
An evolutionary approach to the identification of Cellular Automata based on partial observations. CEC 2015: 2966-2972 - [c144]Bernard De Baets, Lemnaouar Zedam, Azzedine Kheniche:
Left and right compatibility of strict orders with fuzzy tolerance and fuzzy equivalence relations. IFSA-EUSFLAT 2015 - [c143]Carlos Lopez-Molina, Cédric Marco-Detchart, Juan Cerron, Humberto Bustince, Bernard De Baets:
Gradient extraction operators for discrete interval-valued data. IFSA-EUSFLAT 2015 - [c142]Davide Martinetti, Susana Montes, Susana Díaz, Bernard De Baets:
Fuzzy and probabilistic choice functions: a new set of rationality conditions. IFSA-EUSFLAT 2015 - [c141]Laura De Miguel, Humberto Bustince, Esteban Induráin, Anna Kolesárová, Radko Mesiar, Bernard De Baets:
Construction of admissible linear orders for pairs of intervals. IFSA-EUSFLAT 2015 - [c140]Raúl Pérez-Fernández, Michaël Rademaker, Pedro Alonso, Irene Díaz, Bernard De Baets:
Adding feasibility constraints to a ranking rule under a monotonicity constraint. IFSA-EUSFLAT 2015 - [c139]Jan M. Baetens, Bernard De Baets:
A Behavioral Analysis of Cellular Automata. PaCT 2015: 123-134 - [c138]Arne De Coninck, Drosos Kourounis, Fabio Verbosio, Olaf Schenk, Bernard De Baets, Steven Maenhout, Jan Fostier:
Towards Parallel Large-Scale Genomic Prediction by Coupling Sparse and Dense Matrix Algebra. PDP 2015: 747-750 - [e4]Michal Baczynski, Bernard De Baets, Radko Mesiar:
Proceedings of the 8th International Summer School on Aggregation Operators (AGOP 2015), Katowice, Poland, July 7-10, 2015. 2015, ISBN 978-83-8012-519-3 [contents] - [i9]Witold Bolt, Jan M. Baetens, Bernard De Baets:
On the decomposition of stochastic cellular automata. CoRR abs/1503.03318 (2015) - [i8]Jeaneth Machicao, Jan M. Baetens, Anderson G. Marco, Bernard De Baets, Odemir M. Bruno:
A dynamical systems approach to the discrimination of the modes of operation of cryptographic systems. CoRR abs/1504.02549 (2015) - [i7]Witold Bolt, Jan M. Baetens, Bernard De Baets:
An evolutionary approach to the identification of Cellular Automata based on partial observations. CoRR abs/1508.05752 (2015) - 2014
- [j204]Karolien Scheerlinck, Hilde Vernieuwe, Niko E. C. Verhoest, Bernard De Baets:
Practical computing with interactive fuzzy variables. Appl. Soft Comput. 22: 518-527 (2014) - [j203]Jan Peters, Willem Waegeman, Jasper Van doninck, Els I. Ducheyne, Carlos Calvete, J. Lucientes, Niko E. C. Verhoest, Bernard De Baets:
Predicting spatio-temporal Culicoides imicola distributions in Spain based on environmental habitat characteristics and species dispersal. Ecol. Informatics 22: 69-80 (2014) - [j202]Luca Vezzaro, Lorenzo Benedetti, Veerle Gevaert, Webbey De Keyser, Frederik Verdonck, Bernard De Baets, Ingmar Nopens, Frédéric Cloutier, Peter A. Vanrolleghem, Peter Steen Mikkelsen:
A model library for dynamic transport and fate of micropollutants in integrated urban wastewater and stormwater systems. Environ. Model. Softw. 53: 98-111 (2014) - [j201]Matteo Reggente, Jan Peters, Jan Theunis, Martine Van Poppel, Michaël Rademaker, Prashant Kumar, Bernard De Baets:
Prediction of ultrafine particle number concentrations in urban environments by means of Gaussian process regression based on measurements of oxides of nitrogen. Environ. Model. Softw. 61: 135-150 (2014) - [j200]Davide Martinetti, Susana Montes, Susana Díaz, Bernard De Baets:
On Arrow-Sen style equivalences between rationality conditions for fuzzy choice functions. Fuzzy Optim. Decis. Mak. 13(4): 369-396 (2014) - [j199]Davide Martinetti, Bernard De Baets, Susana Díaz, Susana Montes:
On the role of acyclicity in the study of rationality of fuzzy choice functions. Fuzzy Sets Syst. 239: 35-50 (2014) - [j198]Steven Freson, Bernard De Baets, Hans E. De Meyer:
Closing reciprocal relations w.r.t. stochastic transitivity. Fuzzy Sets Syst. 241: 2-26 (2014) - [j197]Tarad Jwaid, Bernard De Baets, Hans E. De Meyer:
Ortholinear and paralinear semi-copulas. Fuzzy Sets Syst. 252: 76-98 (2014) - [j196]Michaël Rademaker, Bernard De Baets:
A ranking procedure based on a natural monotonicity constraint. Inf. Fusion 17: 74-82 (2014) - [j195]Radim Belohlávek, Bernard De Baets, Jan Konecny:
Granularity of attributes in formal concept analysis. Inf. Sci. 260: 149-170 (2014) - [j194]Carlos Lopez-Molina, Bernard De Baets, Humberto Bustince, Esteban Induráin, Andrea Stupnanová, Radko Mesiar:
Bimigrativity of binary aggregation functions. Inf. Sci. 274: 225-235 (2014) - [j193]Carlos Lopez-Molina, Bernard De Baets, Humberto Bustince:
A framework for edge detection based on relief functions. Inf. Sci. 278: 127-140 (2014) - [j192]Karel De Loof, Bernard De Baets, Hans E. De Meyer:
Cycle-free cuts of mutual rank probability relations. Kybernetika 50(5): 814-837 (2014) - [j191]Jasper Van doninck, Wolfgang Wagner, Thomas Melzer, Bernard De Baets, Niko E. C. Verhoest:
Seasonality in the Angular Dependence of ASAR Wide Swath Backscatter. IEEE Geosci. Remote. Sens. Lett. 11(8): 1423-1427 (2014) - [j190]Carlos Lopez-Molina, Mikel Galar, Humberto Bustince Sola, Bernard De Baets:
On the impact of anisotropic diffusion on edge detection. Pattern Recognit. 47(1): 270-281 (2014) - [j189]Jasper Van doninck, Bernard De Baets, Jan Peters, Guy Hendrickx, Els I. Ducheyne, Niko E. C. Verhoest:
Modelling the Spatial Distribution of Culicoides imicola: Climatic versus Remote Sensing Data. Remote. Sens. 6(7): 6604-6619 (2014) - [j188]Ward Blondé, Erick Antezana, Vladimir Mironov, Stefan Schulz, Martin Kuiper, Bernard De Baets:
Using the relation ontology Metarel for modelling Linked Data as multi-digraphs. Semantic Web 5(2): 115-126 (2014) - [j187]Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman:
Identification of Functionally Related Enzymes by Learning-to-Rank Methods. IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 1157-1169 (2014) - [c137]Jan M. Baetens, Bernard De Baets:
Towards a Comprehensive Understanding of Multi-state Cellular Automata. ACRI 2014: 16-24 - [c136]Wouter Van der Meeren, Jan M. Baetens, Bernard De Baets:
Lyapunov Exponents of One-Dimensional, Binary Stochastic Cellular Automata. ACRI 2014: 96-104 - [c135]Michaël Vyverman, Dieter De Smedt, Yao-Cheng Lin, Lieven Sterck, Bernard De Baets, Veerle Fack, Peter Dawyndt:
Fast and Accurate cDNA Mapping and Splice Site Identification. BIOINFORMATICS 2014: 233-238 - [c134]Bernard De Baets:
In Silico Cyclic Phenomena - Fascination through Computation. IJCCI (ECTA) 2014: IS-9 - [c133]Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman:
A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction. ECML/PKDD (2) 2014: 517-532 - [i6]Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman:
Identification of functionally related enzymes by learning-to-rank methods. CoRR abs/1405.4394 (2014) - [i5]Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman:
A two-step learning approach for solving full and almost full cold start problems in dyadic prediction. CoRR abs/1405.4423 (2014) - [i4]Núbia Rosa da Silva, Pieter Van der Weeën, Bernard De Baets, Odemir Martinez Bruno:
Improved texture image classification through the use of a corrosion-inspired cellular automaton. CoRR abs/1412.7889 (2014) - 2013
- [j186]Karel De Loof, Bernard De Baets, Hans E. De Meyer:
A necessary 4-cycle condition for dice representability of reciprocal relations. 4OR 11(2): 151-170 (2013) - [j185]Michaël Vyverman, Bernard De Baets, Veerle Fack, Peter Dawyndt:
essaMEM: finding maximal exact matches using enhanced sparse suffix arrays. Bioinform. 29(6): 802-804 (2013) - [j184]Jan M. Baetens, Karel De Loof, Bernard De Baets:
Influence of the topology of a cellular automaton on its dynamical properties. Commun. Nonlinear Sci. Numer. Simul. 18(3): 651-668 (2013) - [j183]Jan Verwaeren, Karolien Scheerlinck, Bernard De Baets:
Countering the negative search bias of ant colony optimization in subset selection problems. Comput. Oper. Res. 40(4): 931-942 (2013) - [j182]Ine S. Pauwels, Ans M. Mouton, Jan M. Baetens, Steffie Van Nieuland, Bernard De Baets, Peter L. M. Goethals:
Modelling a pike (Esox lucius) population in a lowland river using a cellular automaton. Ecol. Informatics 17: 46-57 (2013) - [j181]Shinji Fukuda, Bernard De Baets, Willem Waegeman, Jan Verwaeren, Ans M. Mouton:
Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models. Environ. Model. Softw. 47: 1-6 (2013) - [j180]Silvia Muzzioli, Bernard De Baets:
A comparative assessment of different fuzzy regression methods for volatility forecasting. Fuzzy Optim. Decis. Mak. 12(4): 433-450 (2013) - [j179]Bernard De Baets, Hans E. De Meyer, Juan Fernández-Sánchez, Manuel Úbeda-Flores:
On the existence of a trivariate copula with given values of a trivariate quasi-copula at several points. Fuzzy Sets Syst. 228: 3-14 (2013) - [j178]Bernard De Baets, Hans E. De Meyer:
On a conjecture about the Frank copula family. Fuzzy Sets Syst. 228: 15-28 (2013) - [j177]Martin Stepnicka, Bernard De Baets:
Implication-based models of monotone fuzzy rule bases. Fuzzy Sets Syst. 232: 134-155 (2013) - [j176]Carlos Lopez-Molina, Bernard De Baets, Juan Cerron, Mikel Galar, Humberto Bustince:
A generalization of the Perona-Malik anisotropic diffusion method using restricted dissimilarity functions. Int. J. Comput. Intell. Syst. 6(1): 14-28 (2013) - [j175]Steven Freson, Bernard De Baets, Hans E. De Meyer:
Linear optimization with bipolar max-min constraints. Inf. Sci. 234: 3-15 (2013) - [j174]Martin Stepnicka, Bernard De Baets:
Interpolativity of at-least and at-most models of monotone single-input single-output fuzzy rule bases. Inf. Sci. 234: 16-28 (2013) - [j173]Muhammad Zaini Ahmad, M. K. Hasan, Bernard De Baets:
Analytical and numerical solutions of fuzzy differential equations. Inf. Sci. 236: 156-167 (2013) - [j172]Carlos Lopez-Molina, Bernard De Baets, Humberto Bustince Sola, José Antonio Sanz, Edurne Barrenechea Tartas:
Multiscale edge detection based on Gaussian smoothing and edge tracking. Knowl. Based Syst. 44: 101-111 (2013) - [j171]Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman:
Efficient regularized least-squares algorithms for conditional ranking on relational data. Mach. Learn. 93(2-3): 321-356 (2013) - [j170]Carlos Lopez-Molina, Bernard De Baets, Humberto Bustince Sola:
Quantitative error measures for edge detection. Pattern Recognit. 46(4): 1125-1139 (2013) - [c132]Tarad Jwaid, Bernard De Baets, Hans E. De Meyer:
On the Construction of Semiquadratic Copulas. AGOP 2013: 47-57 - [c131]Davide Martinetti, Susana Montes, Susana Díaz, Bernard De Baets:
Uncertain Choices: A Comparison of Fuzzy and Probabilistic Approaches. AGOP 2013: 271-279 - [c130]Tarad Jwaid, Bernard De Baets, Hans E. De Meyer, Radko Mesiar:
Biconic semi-copulas with a given section. EUSFLAT Conf. 2013 - [c129]Davide Martinetti, Susana Díaz, Susana Montes, Bernard De Baets:
Bridging Probabilistic and Fuzzy Approaches to Choice Under Uncertainty. EUSFLAT Conf. 2013 - [c128]Nicolás Madrid, Carlos Lopez-Molina, Bernard De Baets:
Generalized antisymmetric filters for edge detection. SoCPaR 2013: 25-30 - 2012
- [j169]E. De Keyser, Hilde Vernieuwe, Hans Lievens, Jesús Álvarez-Mozos, Bernard De Baets, Niko E. C. Verhoest:
Assessment of SAR-retrieved soil moisture uncertainty induced by uncertainty on modeled soil surface roughness. Int. J. Appl. Earth Obs. Geoinformation 18: 176-182 (2012) - [j168]Lien Loosvelt, Jan Peters, Henning Skriver, Hans Lievens, Frieke Van Coillie, Bernard De Baets, Niko E. C. Verhoest:
Random Forests as a tool for estimating uncertainty at pixel-level in SAR image classification. Int. J. Appl. Earth Obs. Geoinformation 19: 173-184 (2012) - [j167]Michaël Rademaker, Bernard De Baets:
Consistent union and prioritized consistent union: new operations for preference aggregation. Ann. Oper. Res. 195(1): 237-259 (2012) - [j166]Ramiro Sanchez-Lopez, Carlos A. Bana e Costa, Bernard De Baets:
The MACBETH approach for multi-criteria evaluation of development projects on cross-cutting issues. Ann. Oper. Res. 199(1): 393-408 (2012) - [j165]Sofie Van Landeghem, Jari Björne, Thomas Abeel, Bernard De Baets, Tapio Salakoski, Yves Van de Peer:
Semantically linking molecular entities in literature through entity relationships. BMC Bioinform. 13(S-11): S6 (2012) - [j164]Jan Verwaeren, Willem Waegeman, Bernard De Baets:
Learning partial ordinal class memberships with kernel-based proportional odds models. Comput. Stat. Data Anal. 56(4): 928-942 (2012) - [j163]Bernard De Baets, Hans E. De Meyer, Radko Mesiar:
Binary survival aggregation functions. Fuzzy Sets Syst. 191: 83-102 (2012) - [j162]Ulrich Bodenhofer, Bernard De Baets, Erich-Peter Klement, Susanne Saminger-Platz:
Editorial. Fuzzy Sets Syst. 192: 1-2 (2012) - [j161]János C. Fodor, Bernard De Baets:
A single-point characterization of representable uninorms. Fuzzy Sets Syst. 202: 89-99 (2012) - [j160]Andrew Adamatzky, Bernard De Baets, Wesley van Dessel:
Slime Mould Imitation of Belgian Transport Networks: Redundancy, Bio-Essential Motorways, and Dissolution. Int. J. Unconv. Comput. 8(3): 235-262 (2012) - [j159]Tarad Jwaid, Bernard De Baets, Hans E. De Meyer:
Biconic aggregation functions. Inf. Sci. 187: 129-150 (2012) - [j158]Humberto Bustince Sola, Bernard De Baets, Javier Fernández, Radko Mesiar, Javier Montero:
A generalization of the migrativity property of aggregation functions. Inf. Sci. 191: 76-85 (2012) - [j157]Michaël Rademaker, Bernard De Baets, Hans E. De Meyer:
Optimal monotone relabelling of partially non-monotone ordinal data. Optim. Methods Softw. 27(1): 17-31 (2012) - [j156]Carlos Lopez-Molina, Mikel Galar, Humberto Bustince Sola, Bernard De Baets:
Extending the upper-lower edge detector by means of directional masks and OWA operators. Prog. Artif. Intell. 1(4): 267-276 (2012) - [j155]Karolien Scheerlinck, Hilde Vernieuwe, Bernard De Baets:
Zadeh's Extension Principle for Continuous Functions of Non-Interactive Variables: A Parallel Optimization Approach. IEEE Trans. Fuzzy Syst. 20(1): 96-108 (2012) - [j154]Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets:
A Kernel-Based Framework for Learning Graded Relations From Data. IEEE Trans. Fuzzy Syst. 20(6): 1090-1101 (2012) - [j153]Lien Loosvelt, Jan Peters, Henning Skriver, Bernard De Baets, Niko E. C. Verhoest:
Impact of Reducing Polarimetric SAR Input on the Uncertainty of Crop Classifications Based on the Random Forests Algorithm. IEEE Trans. Geosci. Remote. Sens. 50(10): 4185-4200 (2012) - [c127]Jan M. Baetens, Bernard De Baets:
Topological Perturbations and Their Effect on the Dynamics of Totalistic Cellular Automata. ACRI 2012: 1-10 - [c126]Pieter Van der Weeën, Nathalie De Clercq, Koen Dewettinck, Bernard De Baets:
A CA-Based Model Describing Fat Bloom in Chocolate. ACRI 2012: 504-513 - [c125]