| 2012 | ||
|---|---|---|
| j21 | Peter Sussner, Estevão Laureano Esmi, Ivan Villaverde, Manuel Graña: The Kosko Subsethood Fuzzy Associative Memory (KS-FAM): Mathematical Background and Applications in Computer Vision. Journal of Mathematical Imaging and Vision 42(2-3): 134-149 (2012) | |
| j20 | Peter Sussner, Mike Nachtegael, Tom Mélange, Glad Deschrijver, Estevão Laureano Esmi, Etienne E. Kerre: Interval-Valued and Intuitionistic Fuzzy Mathematical Morphologies as Special Cases of L-Fuzzy Mathematical Morphology. Journal of Mathematical Imaging and Vision 43(1): 50-71 (2012) | |
| c22 | Peter Sussner, Carlos Renato Medeiros: An introduction to morphological associative memories in complete lattices and inf-semilattices. FUZZ-IEEE 2012: 1-8 | |
| c21 | Marcos Eduardo Valle, Peter Sussner, Estevão Laureano Esmi: Spherical CIELab QAMs: Associative Memories Based on the CIELab System and Quantales for the Storage of Color Images. HAIS (2) 2012: 467-478 | |
| c20 | Estevão Laureano Esmi, Peter Sussner, Marcos Eduardo Valle, Fábio Sakuray, Laécio Barros: Fuzzy Associative Memories Based on Subsethood and Similarity Measures with Applications to Speaker Identification. HAIS (2) 2012: 479-490 | |
| c19 | Peter Sussner, Marcos Eduardo Valle: A Semilattice Approach towards Sparsely Connected Associative Memories. KES 2012: 2180-2190 | |
| 2011 | ||
| j19 | Tom Mélange, Mike Nachtegael, Peter Sussner, Etienne E. Kerre: On the construction of interval-valued fuzzy morphological operators. Fuzzy Sets and Systems 178(1): 84-101 (2011) | |
| j18 | Peter Sussner, Estevão Laureano Esmi: Morphological perceptrons with competitive learning: Lattice-theoretical framework and constructive learning algorithm. Inf. Sci. 181(10): 1929-1950 (2011) | |
| j17 | Mike Nachtegael, Peter Sussner, Tom Mélange, Etienne E. Kerre: On the role of complete lattices in mathematical morphology: From tool to uncertainty model. Inf. Sci. 181(10): 1971-1988 (2011) | |
| j16 | Marcos Eduardo Valle, Peter Sussner: Storage and recall capabilities of fuzzy morphological associative memories with adjunction-based learning. Neural Networks 24(1): 75-90 (2011) | |
| 2010 | ||
| j15 | Tom Mélange, Mike Nachtegael, Peter Sussner, Etienne E. Kerre: On the Decomposition of Interval-Valued Fuzzy Morphological Operators. Journal of Mathematical Imaging and Vision 36(3): 270-290 (2010) | |
| c18 | Tom Mélange, Mike Nachtegael, Peter Sussner, Etienne E. Kerre: Basic properties of the interval-valued fuzzy morphological operators. FUZZ-IEEE 2010: 1-8 | |
| c17 | Peter Sussner, Estevão Laureano Esmi: An Introduction to the Kosko Subsethood FAM. HAIS (2) 2010: 343-350 | |
| c16 | Ricardo de A. Araújo, Peter Sussner: An Increasing Hybrid Morphological-Linear Perceptron with Evolutionary Learning and Phase Correction for Financial Time Series Forecasting. HAIS (2) 2010: 351-358 | |
| c15 | Ricardo de A. Araújo, Peter Sussner: An increasing hybrid morphological-linear perceptron with pseudo-gradient-based learning and phase adjustment for financial time series prediction. IJCNN 2010: 1-8 | |
| c14 | Estevão Laureano Esmi, Peter Sussner: A fuzzy associative memory based on Kosko's subsethood measure. IJCNN 2010: 1-8 | |
| 2009 | ||
| j14 | Mike Nachtegael, Peter Sussner, Tom Mélange, Etienne E. Kerre: Modelling Numerical and Spatial Uncertainty in Grayscale Image Capture Using Fuzzy Set Theory. JACIII 13(5): 529-536 (2009) | |
| c13 | Tom Mélange, Mike Nachtegael, Etienne E. Kerre, Peter Sussner: Decomposition of Interval-Valued Fuzzy Morphological Operations by Weak [alpha_1, alpha_2]-cuts. IFSA/EUSFLAT Conf. 2009: 167-172 | |
| c12 | Peter Sussner, Rodolfo Miyasaki, Marcos Eduardo Valle: An Introduction to Parameterized IFAM Models with Applications in Prediction. IFSA/EUSFLAT Conf. 2009: 1757-1762 | |
| c11 | Peter Sussner, Estevão Laureano Esmi: An introduction to morphological perceptrons with competitive learning. IJCNN 2009: 3024-3031 | |
| p2 | Peter Sussner, Estevão Laureano Esmi: Constructive Morphological Neural Networks: Some Theoretical Aspects and Experimental Results in Classification. Constructive Neural Networks 2009: 123-144 | |
| 2008 | ||
| j13 | Marcos Eduardo Valle, Peter Sussner: A general framework for fuzzy morphological associative memories. Fuzzy Sets and Systems 159(7): 747-768 (2008) | |
| j12 | Peter Sussner, Marcos Eduardo Valle: Classification of Fuzzy Mathematical Morphologies Based on Concepts of Inclusion Measure and Duality. Journal of Mathematical Imaging and Vision 32(2): 139-159 (2008) | |
| c10 | Mike Nachtegael, Peter Sussner, Tom Mélange, Etienne E. Kerre: An Interval-Valued Fuzzy Morphological Model Based on Lukasiewicz-Operators. ACIVS 2008: 601-612 | |
| c9 | Marcos Eduardo Valle, Peter Sussner: Fuzzy morphological associative memories based on uninorms. FUZZ-IEEE 2008: 1582-1589 | |
| c8 | Alexandre Monteiro da Silva, Peter Sussner: A Brief Review and Comparison of Feedforward Morphological Neural Networks with Applications to Classification. ICANN (2) 2008: 783-792 | |
| c7 | Mike Nachtegael, Peter Sussner, Tom Mélange, Etienne E. Kerre: Some Aspects of Interval-Valued and Intuitionistic Fuzzy Mathematical Morphology. IPCV 2008: 538-543 | |
| 2007 | ||
| c6 | Marcos Eduardo Valle, Peter Sussner: Fuzzy Associative Memories from the Perspective of Mathematical Morphology. FUZZ-IEEE 2007: 1-6 | |
| p1 | Peter Sussner, Marcos Eduardo Valle: Morphological and Certain Fuzzy Morphological Associative Memories for Classification and Prediction. Computational Intelligence Based on Lattice Theory 2007: 149-171 | |
| 2006 | ||
| j11 | Peter Sussner, Marcos Eduardo Valle: Implicative Fuzzy Associative Memories. IEEE T. Fuzzy Systems 14(6): 793-807 (2006) | |
| j10 | Peter Sussner, Marcos Eduardo Valle: Gray-scale morphological associative memories. IEEE Transactions on Neural Networks 17(3): 559-570 (2006) | |
| 2005 | ||
| c5 | Peter Sussner, Marcos Eduardo Valle: A Brief Account of the Relations between Gray-Scale Mathematical Morphologies. SIBGRAPI 2005: 79-86 | |
| 2003 | ||
| j9 | Peter Sussner, Manuel Graña: Guest Editorial: Special Issue on Morphological Neural Networks. Journal of Mathematical Imaging and Vision 19(2): 79-80 (2003) | |
| j8 | Peter Sussner: Generalizing Operations of Binary Autoassociative Morphological Memories Using Fuzzy Set Theory. Journal of Mathematical Imaging and Vision 19(2): 81-93 (2003) | |
| j7 | Peter Sussner: Associative morphological memories based on variations of the kernel and dual kernel methods. Neural Networks 16(5-6): 625-632 (2003) | |
| 2002 | ||
| c4 | Manuel Graña, Bogdan Raducanu, Peter Sussner, Gerhard X. Ritter: On Endmember Detection in Hyperspectral Images with Morphological Associative Memories. IBERAMIA 2002: 526-535 | |
| 2001 | ||
| c3 | Bogdan Raducanu, Manuel Graña, Peter Sussner: Morphological Neural Networks for Vision Based Self-Localization. ICRA 2001: 2059-2064 | |
| 2000 | ||
| j6 | Peter Sussner: Observations on morphological associative memories and the kernel method. Neurocomputing 31(1-4): 167-183 (2000) | |
| j5 | Peter Sussner, Gerhard X. Ritter: Rank-based decompositions of morphological templates. IEEE Transactions on Image Processing 9(8): 1420-1430 (2000) | |
| c2 | ||
| 1999 | ||
| j4 | Gerhard X. Ritter, Juan Luis Díaz-de-León S., Peter Sussner: Morphological bidirectional associative memories. Neural Networks 12(6): 851-867 (1999) | |
| 1998 | ||
| j3 | Gerhard X. Ritter, Peter Sussner, Juan Luis Díaz-de-León S.: Morphological associative memories. IEEE Transactions on Neural Networks 9(2): 281-293 (1998) | |
| c1 | ||
| 1997 | ||
| j2 | Peter Sussner, Panos M. Pardalos, Gerhard X. Ritter: On Integer Programming Approaches for Morphological Template Decomposition Problems in Computer Vision. J. Comb. Optim. 1(2): 165-178 (1997) | |
| j1 | Peter Sussner, Gerhard X. Ritter: Decomposition of Gray-Scale Morphological Templates Using the Rank Method. IEEE Trans. Pattern Anal. Mach. Intell. 19(6): 649-658 (1997) | |
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