Frank Emmert-Streib
Orcid: 0000-0003-0745-5641
According to our database1,
Frank Emmert-Streib
authored at least 130 papers
between 2001 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on id.loc.gov
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on d-nb.info
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Bibliography
2024
Human Team Behavior and Predictability in the Massively Multiplayer Online Game WOT Blitz.
ACM Trans. Web, February, 2024
2023
Frontiers Artif. Intell., February, 2023
Threshold-Learned CNN for Multi-Label Text Classification of Electronic Health Records.
IEEE Access, 2023
Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure.
IEEE Access, 2023
2022
WIREs Data Mining Knowl. Discov., 2022
Comparison of Text Mining Models for Food and Dietary Constituent Named-Entity Recognition.
Mach. Learn. Knowl. Extr., 2022
Inf. Sci., 2022
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence.
Inf. Fusion, 2022
CoRR, 2022
2021
From the Digital Data Revolution toward a Digital Society: Pervasiveness of Artificial Intelligence.
Mach. Learn. Knowl. Extr., 2021
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing.
Frontiers Artif. Intell., 2021
Frontiers Artif. Intell., 2021
Data-Driven Computational Social Network Science: Predictive and Inferential Models for Web-Enabled Scientific Discoveries.
Frontiers Big Data, 2021
Identifying key interactions between process variables of different material categories using mutual information-based network inference method.
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021
2020
Explainable artificial intelligence and machine learning: A reality rooted perspective.
WIREs Data Mining Knowl. Discov., 2020
Partition and Colored Distances in Graphs Induced to Subsets of Vertices and Some of Its Applications.
Symmetry, 2020
Erratum: Liu, W.; Ban, J.; Feng, L.; Cheng, T.; Emmert-Streib, F.; Dehmer, M. The Maximum Hosoya Index of Unicyclic Graphs with Diameter at Most Four. Symmetry 2019, 11, 1034.
Symmetry, 2020
Symmetry, 2020
The Role of Symmetry in the Aesthetics of Residential Building Façades Using Cognitive Science Methods.
Symmetry, 2020
Inf. Sci., 2020
Frontiers Artif. Intell., 2020
Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status.
Frontiers Artif. Intell., 2020
From the digital data revolution to digital health and digital economy toward a digital society: Pervasiveness of Artificial Intelligence.
CoRR, 2020
A clarification of misconceptions, myths and desired status of artificial intelligence.
CoRR, 2020
A novel epidemic model considering demographics and intercity commuting on complex dynamical networks.
Appl. Math. Comput., 2020
Appl. Math. Comput., 2020
Appl. Math. Comput., 2020
Distributed Event-Triggered Circular Formation Control for Multiple Anonymous Mobile Robots With Order Preservation and Obstacle Avoidance.
IEEE Access, 2020
2019
A comprehensive survey of error measures for evaluating binary decision making in data science.
WIREs Data Mining Knowl. Discov., 2019
Symmetry, 2019
Mach. Learn. Knowl. Extr., 2019
Mach. Learn. Knowl. Extr., 2019
Large-Scale Simultaneous Inference with Hypothesis Testing: Multiple Testing Procedures in Practice.
Mach. Learn. Knowl. Extr., 2019
Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error.
Mach. Learn. Knowl. Extr., 2019
High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection.
Mach. Learn. Knowl. Extr., 2019
Mach. Learn. Knowl. Extr., 2019
A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition.
Mach. Learn. Knowl. Extr., 2019
Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations?
Mach. Learn. Knowl. Extr., 2019
Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach.
Inf. Sci., 2019
Constrained Covariance Matrices With a Biologically Realistic Structure: Comparison of Methods for Generating High-Dimensional Gaussian Graphical Models.
Frontiers Appl. Math. Stat., 2019
Axioms, 2019
Appl. Math. Comput., 2019
2018
MetrIntSimil - An Accurate and Robust Metric for Comparison of Similarity in Intelligence of Any Number of Cooperative Multiagent Systems.
Symmetry, 2018
Graph measures with high discrimination power revisited: A random polynomial approach.
Inf. Sci., 2018
Frontiers Big Data, 2018
Understanding the World Economy in Terms of Networks: A Survey of Data-Based Network Science Approaches on Economic Networks.
Frontiers Appl. Math. Stat., 2018
2017
Inf. Sci., 2017
Inf. Sci., 2017
MetrIntMeas a novel metric for measuring the intelligence of a swarm of cooperating agents.
Cogn. Syst. Res., 2017
sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters.
BMC Bioinform., 2017
Briefings Bioinform., 2017
2016
Inf. Sci., 2016
Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules.
BMC Bioinform., 2016
samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files.
Bioinform., 2016
Gene set analysis approaches for RNA-seq data: performance evaluation and application guideline.
Briefings Bioinform., 2016
Proceedings of the Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry, 2016
2015
Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data.
BMC Syst. Biol., 2015
Appl. Math. Comput., 2015
Network signatures based on gene pair expression ratios improve classification and the analysis of muscle-invasive urothelial cancer.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Inf. Sci., 2014
Inf. Sci., 2014
BMC Bioinform., 2014
Bioinform., 2014
Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene sets.
Bioinform., 2014
2013
[COMMODE] a large-scale database of molecular descriptors using compounds from PubChem.
Source Code Biol. Medicine, 2013
An efficient heuristic approach to detecting graph isomorphism based on combinations of highly discriminating invariants.
Adv. Comput. Math., 2013
2012
Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma.
BMC Syst. Biol., 2012
Detecting sequence dependent transcriptional pauses from RNA and protein number time series.
BMC Bioinform., 2012
Gene set analysis for self-contained tests: complex null and specific alternative hypotheses.
Bioinform., 2012
Appl. Math. Comput., 2012
Appl. Math. Comput., 2012
2011
Pathway Analysis of Expression Data: Deciphering Functional Building Blocks of Complex Diseases.
PLoS Comput. Biol., 2011
Proceedings of the Structural Analysis of Complex Networks, 2011
Proceedings of the Genres on the Web, 2011
2010
Complex., 2010
BMC Syst. Biol., 2010
Revealing differences in gene network inference algorithms on the network level by ensemble methods.
Bioinform., 2010
2009
On Entropy-Based Molecular Descriptors: Statistical Analysis of Real and Synthetic Chemical Structures.
J. Chem. Inf. Model., 2009
Hierarchical coordination of periodic genes in the cell cycle of Saccharomyces cerevisiae.
BMC Syst. Biol., 2009
Information processing in the transcriptional regulatory network of yeast: Functional robustness.
BMC Syst. Biol., 2009
Unite and conquer: univariate and multivariate approaches for finding differentially expressed gene sets.
Bioinform., 2009
Towards a Partitioning of the Input Space of Boolean Networks: Variable Selection Using Bagging.
Proceedings of the Complex Sciences, 2009
Organizational Structure of the Transcriptional Regulatory Network of Yeast: Periodic Genes.
Proceedings of the Complex Sciences, 2009
2008
Structural information content of networks: Graph entropy based on local vertex functionals.
Comput. Biol. Chem., 2008
A comparative analysis of multidimensional features of objects resembling sets of graphs.
Appl. Math. Comput., 2008
Optimize Observational Time Points to Maximize the Inferability of Gene Networks.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008
2007
BMC Bioinform., 2007
Appl. Math. Comput., 2007
Appl. Math. Comput., 2007
Structural similarity of directed universal hierarchical graphs: A low computational complexity approach.
Appl. Math. Comput., 2007
Appl. Math. Comput., 2007
Graph-theoretical Characterizations of Generalized Trees.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007
A Graph Mining Technique for Automatic Classification of Web Genre Data.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007
Optimization Procedure for Predicting Nonlinear Time Series Based on a Non-Gaussian Noise Model.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007
Proceedings of the 2nd International ICST Conference on Bio-Inspired Models of Network, 2007
2006
Algorithmic Computation of Knot Polynomials of Secondary Structure Elements of Proteins.
J. Comput. Biol., 2006
Neurocomputing, 2006
Appl. Math. Comput., 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Influence of Prior Information on the Reconstruction of the Yeast Cell Cycle from Microarray Data.
Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, 2006
Theoretical Bounds for the Number of Inferable Edges in Sparse Random Networks.
Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, 2006
2005
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005
Classification of Large Graphs by a Local Tree Decomposition.
Proceedings of The 2005 International Conference on Data Mining, 2005
2003
Aktive computation in offenen Systemen: Lerndynamiken in biologischen Systemen: vom Netzwerk zum Organismus.
PhD thesis, 2003
2001
A constrained HMM-based approach to the estimation of perceptual switching dynamics in pigeons.
Neurocomputing, 2001