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Bibliographia Humboldtiana Index

Bibliographia Humboldtiana

I. Publications by Humboldt Research Fellows from abroad in 2018

Computer science, information science, statistics

Dayar, Prof. Dr. Tugrul

Bilkent University, Turkey
Field of research: Applied computer science, applied information science
Host: Prof. Dr. Peter Buchholz Technische Universität Dresden
  • Tuğrul Dayar, M. Can Orhan: A Software Tool for the Compact Solution of the Chemical Master Equation. In: Measurement, Modelling and Evaluation of Computing Systems: Lecture Notes in Computer Science Vol. 10740. (Ed. Reinhard German, Kai-Steffen Hielscher, Udo R. Krieger) Switzerland: Springer, 2018, p. 312 - 316 [Continuous-time Markov chain, chemical master equation, backward differentiation, compact vector, Kronecker decomposition].

  • Tuğrul Dayar, M. Can Orhan: On Compact Vector Formats in the Solution of the Chemical Master Equation with Backward Differentiation. In: Numerical Linear Algebra with Applications. 2018, p. e2158 [Backward differentiation, chemical master equation, compact vector, continuous-time Markov chain, Kronecker product].

  • Tuğrul Dayar: Kronecker Modeling and Analysis of Multidimensional Markovian Systems. Cham: Springer, 2018, XX, 269 pp. [Multi-dimensional Markovian Modeling, Kronecker Operations, Steady-state Analysis, Transient Analysis, Kronecker Product, Markov Chain, Compact Solution Vector].

Dorn, Prof. Dr. Marcio

Universidade Federal do Rio Grande do Sul (UFRGS), Brazil
Field of research: Applied computer science, applied information science
Host: Dr. Mathias Krause Karlsruher Institut für Technologie (KIT)
  • Bruno César Feltes, Bruno Iochins Grisci, Joice de Faria Poloni and Márcio Dorn: Perspectives and Applications of Machine Learning for Evolutionary Developmental Biology. In: Molecular Omics. 14, 2018, p. 289 - 306 [Evolutionary Developmental Biology Machine Learning Omics Data].

  • Leonardo de Lima Corrêa, Bruno Borguesan, Mathias J.Krause, Márcio Dorn: Three-dimensional protein structure prediction based on memetic algorithms. In: Computers & Operations Research. 91, 2018, p. 160 - 177 [Metaheuristics Hybrid evolutionary algorithms Multimodal optimization Structural Bioinformatics PSP problem].

  • Bruno Iochins Grisci, Bruno César Feltes, Marcio Dorn: Neuroevolution as a Tool for Microarray Gene Expression Pattern Identification in Cancer Research. In: Journal of Biomedical Informatics. In Press, 2018, p. 1 - 18 [Neuroevolution Cancer Microarray FS-NEAT MachineLearning Feature Selection].

Ferrer-Riesgo, Dr. Carlos Ariel

Universidad Central de Las Villas, Cuba
Field of research: Applied computer science, applied information science
Host: Prof. Dr. Elmar Nöth Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Ferrer, Carlos A.; Haderlein, Tino; Maryn, Youri; de Bodt, Marc S.; Nöth, Elmar: Collinearity and Sample Coverage Issues in the Objective Measurement of Vocal Quality: The Case of Roughness and Breathiness. In: Journal of Speech, Language, and Hearing Research. 61, 2018, p. 1 - 24 [vocal quality, roughness, breathiness].

Hu, Prof. Dr. Jun

Harbin University of Science and Technology, People's Republic of China
Field of research: Control theory
Host: Prof. Dr. Steven Liu Technische Universität Kaiserslautern
  • Yue Song, Jun Hu, Dongyan Chen, Yurong Liu, Fuad E. Alsaadi, Guanglu Sun: A resilience approach to state estimation for discrete neural networks subject to multiple missing measurements and mixed time-delays. In: Neurocomputing. 272, 2018, p. 74 - 83 [Neural networks, Resilient state estimation, Randomly occurring time-delay, Distributed sensor delays, Multiple missing measurements].

  • Jun Hu, Zidong Wang, Huijun Gao: Joint state and fault estimation for time-varying nonlinear systems with randomly occurring faults and sensor saturations. In: Automatica. 97, 2018, p. 150 - 160 [Time-varying nonlinear systems, Fault estimation, Randomly occurring faults, Sensor saturations, Recursive matrix difference equations].

Mitrana, Prof. Dr. Victor

University of Bucharest, Romania
Field of research: Theoretical computer and information science
Host: Dr. Henning Bordihn Universität Potsdam
  • Henning Bordihn, Victor Mitrana, Maria C. Negru, Andrei Paun, Mihaela Paun: Small networks of polarized splicing processors are universal. In: Natural Computing. 17, 2018, p. 799 - 809 [Computing with DNA, Splicing, Splicing processor, Polarization, 2-tag system, Turing machine ].

Papa, Prof. Dr. Joao Paulo

Universidade Estadual Paulista Julio de Mesquita Filho (UNESP), Germany
Field of research: Computer and information science
Host: Prof. Dr. Christoph Palm Ostbayerische Technische Hochschule Regensburg
  • Luis Souza, Christoph Palm, Robert Mendel, Christian Hook, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Silke Weber, Joao Papa: A survey on Barrett's esophagus analysis using machine learning. In: Computers in Biology and Medicine. 96, 2018, p. 203 - 213 [Barrett's esophagus Machine learning Adenocarcinoma Image processing Pattern recognition Computer-aided diagnosis].