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Bibliographia Humboldtiana Index

Bibliographia Humboldtiana

Publications in 2016

Computer science, information science, statistics

Boncz, Dr. Peter

Centrum voor Wiskunde en Informatica (CWI), Netherlands
Field of research: Computer and information science
Host: Prof. Dr. Alfons Kemper Technische Universität München
  • Harald Lang, Tobias Mühlbauer, Florian Funke, Peter Boncz, Thomas Neumann, Alfons Kemper: Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation. In: Proceedings of ACM SIGMOD. 2016, p. 1 - 12.

Dayar, Prof. Dr. Tugrul

, Turkey
Field of research: Applied computer science, applied information science
Host: Prof. Dr. Peter Buchholz Technische Universität Dresden
  • Peter Buchholz, Tuğrul Dayar, Jan Kriege, M. Can Orhan: Compact Representation of Solution Vectors in Kronecker-based Markovian Analysis. In: Quantitative Evaluation of Systems: Lecture Notes in Computer Science Vol. 9826. (Ed. Gul Agha, Benny Van Houdt) Switzerland: Springer, 2016, p. 260 - 276 [Markov chains, Kronecker products, hierarchical Tucker decomposition, reachable state space, compact vectors].

Ebrahimi, Dr. Maryam

Tarbiat Modares University, Iran
Field of research: Computer science in economics and business administration
Host: Prof. Dr. Torsten Eymann Universität Bayreuth
  • Maryam Ebrahimi: Technology scenario planning with system multi methodology: In the Petrochemical Research and Technology Company. In: Proceeding of 34th International Conference of the System Dynamics Society. 2016, [Modeling; System methodologies; Simulation; Mixing methods].

  • Maryam Ebrahimi: Policy making in a renewable energy manufacturing SME using system dynamics. In: Proceeding of International Conference of the System Dynamics Society. 2016, [system dynamics; renewable energy; small and medium-sized enterprises; policy making].

  • Maryam Ebrahimi: Multi-method approach for the comparative analysis of solar and wind energy industry structures in Germany and Iran. In: International Journal of Energy Technology and Policy. 2016, [competition; research; government; innovation].

Hegedüs, Dr. Ramon

Eötvös Lorand University, Hungary
Field of research: Applied computer science, applied information science
Host: Prof. Dr. Hanspeter A. Mallot Eberhard Karls Universität Tübingen
  • László Neumann, Milán Magdics, Ramón Hegedüs: Parallelization of a multi-scale gradient solver. In: Eighth Hungarian Conference on Computer Graphics and Geometry, 30/03/2016-31/03/2016. Budapest, 2016. 2016, p. 200 - 212 [gradient domain imaging, real-time solver, photo manipulation, relighting].

  • Alexandra Farkas, Dénes Száz, Ádám Egri, András Barta, Ádám Mészáros, Ramón Hegedüs, Gábor Horváth, György Kriska : Mayflies are least attracted to vertical polarization: A polarotactic reaction helping to avoid unsuitable habitats. In: Physiology and Behavior. 163, 2016, p. 219 - 227.

  • Ramón Hegedüs, Antoine Lucat, Justine Redon, Romain Pacanowski: Isotropic BRDF Measurements with Quantified Uncertainties. In: Proceedings of Eurographics 2016 Workshop on Material Appearance Modeling (Ed.: H. Rushmeier and R. Klein). 2016, p. 12 - 17 [Color, shading, shadowing, texture, Image-based Reflectance ].

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
  • Jun Hu, Zidong Wang, Steven Liu, Huijun Gao: A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements. In: Automatica. 64, 2016, p. 155 - 162 [State estimation, Time-varying complex networks, Variance constraints, Missing measurements, Recursive approach, Riccati-like difference equations].

  • Jun Hu, Steven Liu, Donghai Ji, Shanqiang Li: On co-design of filter and fault estimator against randomly occurring nonlinearities and randomly occurring deception attacks. In: International Journal of General Systems. 45(5), 2016, p. 619 - 632 [Time-varying systems, Robust filter, Fault estimator, Randomly occurring nonlinearities, Randomly occurring deception attacks].

  • Jun Hu, Zidong Wang, Dongyan Chen, Fuad E. Alsaadi: Estimation, filtering and fusion for networked systems with network-induced phenomena: new progress and prospects. In: Information Fusion. 31, 2016, p. 65 - 75 [Estimation, Filtering, Multi-sensor data fusion, Networked systems, Network-induced phenomena].

  • Yue Song, Jun Hu, Dongyan Chen, Donghai Ji and Fengqiu Liu: Recursive approach to networked fault estimation with packet dropouts and randomly occurring uncertainties. In: Neurocomputing. 214, 2016, p. 340 - 349 [Networked systems, Time-varying systems, Fault estimation, Packet dropouts, Randomly occurring uncertainties, Performance analysis].

Kuruoglu, Dr. Ercan Engin

Consiglio Nazionale delle Ricerche (CNR), Italy
Field of research: Computer science in natural sciences and technology
Host: Prof. Dr. Martin Vingron Max-Planck-Institut für molekulare Genetik
  • Navodit Misra, Ercan E. Kuruoglu: Stable Graphical Models. In: Journal of Machine Learning Research. 17, 2016, p. 1 - 36 [Bayesian networks, gene expression networks, non-Gaussian networks, stable distribution].

  • Sergiy Ancherbak, Ercan E. Kuruoğlu, Martin Vingron: Time-Dependent Gene Network Modelling by Sequential Monte Carlo. In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 13, 2016, p. 1183 - 1193 [gene interaction networks, time varying networks, sequential Monte Carlo, multivariate regression].

Schölkopf, Prof. Dr. Bernhard

Max-Planck-Institut für Intelligente Systeme, Germany
Field of research: Computer and information science

  • Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, and Jonas Peters: Modeling confounding by half-sibling regression. In: Proceedings of the National Academy of Science (PNAS). 27, 2016, p. 7391 - 7398 [machine learning causal inference astronomy exoplanet detection systematic error modeling].

  • Daniel Foreman-Mackey, Timothy D. Morton, David W. Hogg, Eric Agol, and Bernhard Schölkopf: The population of long-period transiting exoplanets. In: The Astronomical Journal. 152, 2016, p. 206 [catalogs methods: data analysis methods: statistical planetary systems stars: statistics].

  • Dun Wang, David W. Hogg, Daniel Foreman-Mackey, and Bernhard Schölkopf: A causal, data-driven approach to modeling the Kepler data. In: Publications of the Astronomical Society of the Pacific. 128, 2016, p. 094503 [methods: data analysis].

  • Carl-Johann Simon-Gabriel*, Adam Ścibior*, Ilya Tolstikhin, and Bernhard Schölkopf: Consistent Kernel Mean Estimation for Functions of Random Variables. In: Advances in Neural Information Processing Systems 29. 2016, p. 1732 - 1740.

Sultanov, Prof. Dr. Renat A.

Odessa College, United States of America
Field of research: Computer and information science
Host: Prof. Dr. Werner Sandhas Rheinische Friedrich-Wilhelms-Universität Bonn
  • Renat A. Sultanov, Dennis Guster, Sadhan K. Adhikari : Low temperature HD+ortho-/para-H2 inelastic scattering of astrophysical interest. In: Journal of Physics B: Atomic, Molecular and Optical Physics . 49, 2016, p. 015203 - 13 pages [hydrogen molecule, low temperature, inelastic scattering, deuterated hydrogen Astrochemistry.].