Aspekte der Kategorisierung von Webseiten. - Matthias Dehmer; Alexander Mehler; Rüdiger Gleim (GI Jahrestagung (2), 2004)

Towards Logical Hypertext Structure. - Alexander Mehler; Matthias Dehmer; Rüdiger Gleim (IICS, 2004)

Classification of Large Graphs by a Local Tree Decomposition. - Frank Emmert-Streib; Matthias Dehmer; Jürgen Kilian (DMIN, 2005)

Towards Structure-sensitive Hypertext Categorization. - Alexander Mehler; Rüdiger Gleim; Matthias Dehmer (GfKl, 2005)

Data Mining-Konzepte und graphentheoretische Methoden zur Analyse hypertextueller Daten. - Matthias Dehmer (LDV Forum, 2005)

Strukturelle Analyse web-basierter Dokumente. - Matthias Dehmer (2005)

Theoretical Bounds for the Number of Inferable Edges in Sparse Random Networks. - Frank Emmert-Streib; Matthias Dehmer (BIOCOMP, 2006)

Influence of Prior Information on the Reconstruction of the Yeast Cell Cycle from Microarray Data. - Frank Emmert-Streib; Matthias Dehmer; Chris Seidel (BIOCOMP, 2006)

A similarity measure for graphs with low computational complexity. - Matthias Dehmer; Frank Emmert-Streib; Jürgen Kilian (Appl. Math. Comput., 2006)

Global Information Processing in Gene Networks: Fault Tolerance. - Frank Emmert-Streib; Matthias Dehmer (BIONETICS, 2007)

Optimization Procedure for Predicting Nonlinear Time Series Based on a Non-Gaussian Noise Model. - Frank Emmert-Streib; Matthias Dehmer (MICAI, 2007)

A Graph Mining Technique for Automatic Classification of Web Genre Data. - Matthias Dehmer; Frank Emmert-Streib; Andreas Zulauf (MLMTA, 2007)

Graph-theoretical Characterizations of Generalized Trees. - Matthias Dehmer; Alexander Mehler; Frank Emmert-Streib (MLMTA, 2007)

Aisles through the Category Forest - Utilising the Wikipedia Category System for Corpus Building in Machine Learning. - Rüdiger Gleim; Alexander Mehler; Matthias Dehmer; Olga Pustylnikov (WEBIST (2), 2007)

Comparing large graphs efficiently by margins of feature vectors. - Matthias Dehmer; Frank Emmert-Streib (Appl. Math. Comput., 2007)

Structural similarity of directed universal hierarchical graphs: A low computational complexity approach. - Matthias Dehmer; Frank Emmert-Streib (Appl. Math. Comput., 2007)

Topological mappings between graphs, trees and generalized trees. - Frank Emmert-Streib; Matthias Dehmer (Appl. Math. Comput., 2007)

Information theoretic measures of UHG graphs with low computational complexity. - Frank Emmert-Streib; Matthias Dehmer (Appl. Math. Comput., 2007)

Relations Between the Topological Complexities of Complex Networks. - Matthias Dehmer (IC-AI, 2008)

Information-Theoretic Concepts for the Analysis of Complex Networks. - Matthias Dehmer (Appl. Artif. Intell., 2008)

Information processing in complex networks: Graph entropy and information functionals. - Matthias Dehmer (Appl. Math. Comput., 2008)

A comparative analysis of multidimensional features of objects resembling sets of graphs. - Matthias Dehmer; Frank Emmert-Streib; Tanja Gesell (Appl. Math. Comput., 2008)

Structural information content of networks: Graph entropy based on local vertex functionals. - Matthias Dehmer; Frank Emmert-Streib (Comput. Biol. Chem., 2008)

A Novel Method for Measuring the Structural Information Content of Networks. - Matthias Dehmer (Cybern. Syst., 2008)

Towards Network Complexity. - Matthias Dehmer; Frank Emmert-Streib (Complex (1), 2009)

Organizational Structure of the Transcriptional Regulatory Network of Yeast: Periodic Genes. - Frank Emmert-Streib; Matthias Dehmer (Complex (1), 2009)

Towards a Partitioning of the Input Space of Boolean Networks: Variable Selection Using Bagging. - Frank Emmert-Streib; Matthias Dehmer (Complex (1), 2009)

Information processing in the transcriptional regulatory network of yeast: Functional robustness. - Frank Emmert-Streib; Matthias Dehmer (BMC Syst. Biol., 2009)

Hierarchical coordination of periodic genes in the cell cycle of Saccharomyces cerevisiae. - Frank Emmert-Streib; Matthias Dehmer (BMC Syst. Biol., 2009)

Characterizing Classes of Structured Objects by Means of Information Inequalities. - Matthias Dehmer; Stephan Borgert (Cybern. Syst., 2009)

On Entropy-Based Molecular Descriptors: Statistical Analysis of Real and Synthetic Chemical Structures. - Matthias Dehmer; Kurt Varmuza; Stephan Borgert; Frank Emmert-Streib (J. Chem. Inf. Model., 2009)

A Novel Majority Vote Count Algorithm for Integrative Analysis of Association Networks. - Karl G. Kugler; Laurin A. J. Mueller; Ralf Gallasch; Armin Graber; Matthias Dehmer (BIOCOMP, 2010)

A Network-based Approach to Classify Disease Stages of Prostate Cancer Using Quantitative Network Measures. - Laurin A. J. Mueller; Karl G. Kugler; Andreas Dander; Christian Baumgartner; Armin Graber; Matthias Dehmer (BIOCOMP, 2010)

Inequalities for entropy-based measures of network information content. - Matthias Dehmer; Abbe Mowshowitz (Appl. Math. Comput., 2010)

Identifying critical financial networks of the DJIA: Toward a network-based index. - Frank Emmert-Streib; Matthias Dehmer (Complex., 2010)

Mining Graph Patterns in Web-based Systems: A Conceptual View. - Matthias Dehmer; Frank Emmert-Streib (Genres on the Web, 2011)

Bounds on the moduli of polynomial zeros. - Matthias Dehmer; Abbe Mowshowitz (Appl. Math. Comput., 2011)

QuACN: an R package for analyzing complex biological networks quantitatively. - Laurin A. J. Mueller; Karl G. Kugler; Andreas Dander; Armin Graber; Matthias Dehmer (Bioinform., 2011)

Structural Measures for Network Biology Using QuACN. - Laurin A. J. Mueller; Karl G. Kugler; Armin Graber; Frank Emmert-Streib; Matthias Dehmer (BMC Bioinform., 2011)

Generalized graph entropies. - Matthias Dehmer; Abbe Mowshowitz (Complex., 2011)

Network analysis using a novel highly discriminating topological index. - Mircea V. Diudea; Aleksandar Ilic; Kurt Varmuza; Matthias Dehmer (Complex., 2011)

A history of graph entropy measures. - Matthias Dehmer; Abbe Mowshowitz (Inf. Sci., 2011)

Information Theory of Networks. - Matthias Dehmer (Symmetry, 2011)

Big Complex Biomedical Data: Towards a Taxonomy of Data. - Andreas Holzinger; Christof Stocker; Matthias Dehmer (ICETE (Selected Papers), 2012)

Information inequalities and Generalized Graph Entropies - Lavanya Sivakumar; Matthias Dehmer (CoRR, 2012)

Entropy and the Complexity of Graphs Revisited. - Abbe Mowshowitz; Matthias Dehmer (Entropy, 2012)

RMol: A Toolset for Transforming SD/Molfile structure information into R Objects. - Martin Grabner; Kurt Varmuza; Matthias Dehmer (Source Code Biol. Medicine, 2012)

On Graph Entropy Measures for Knowledge Discovery from Publication Network Data. - Andreas Holzinger; Bernhard Ofner; Christof Stocker; André Calero Valdez; Anne Kathrin Schaar; Martina Ziefle; Matthias Dehmer (CD-ARES, 2013)

An efficient heuristic approach to detecting graph isomorphism based on combinations of highly discriminating invariants. - Matthias Dehmer; Martin Grabner; Abbe Mowshowitz; Frank Emmert-Streib (Adv. Comput. Math., 2013)

On structure-sensitivity of degree-based topological indices. - Boris Furtula; Ivan Gutman; Matthias Dehmer (Appl. Math. Comput., 2013)

[COMMODE] a large-scale database of molecular descriptors using compounds from PubChem. - Andreas Dander; Laurin A. J. Mueller; Ralf Gallasch; Stephan Pabinger; Frank Emmert-Streib; Armin Graber; Matthias Dehmer (Source Code Biol. Medicine, 2013)

On Terrain Coverage Optimization by Using a Network Approach for Universal Graph-Based Data Mining and Knowledge Discovery. - Michael Preuß 001; Matthias Dehmer; Stefan Pickl; Andreas Holzinger (Brain Informatics and Health, 2014)

Entropy bounds for dendrimers. - Zengqiang Chen 001; Matthias Dehmer; Frank Emmert-Streib; Yongtang Shi (Appl. Math. Comput., 2014)

NetBioV: an R package for visualizing large network data in biology and medicine. - Shailesh Tripathi; Matthias Dehmer; Frank Emmert-Streib (Bioinform., 2014)

Functional and genetic analysis of the colon cancer network. - Frank Emmert-Streib; Ricardo de Matos Simoes; Galina V. Glazko; Simon S. McDade; Benjamin Haibe-Kains; Andreas Holzinger; Matthias Dehmer; Frederick Campbell (BMC Bioinform., 2014)

Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions. - Andreas Holzinger; Matthias Dehmer; Igor Jurisica (BMC Bioinform., 2014)

A Note on Distance-based Graph Entropies. - Zengqiang Chen 001; Matthias Dehmer; Yongtang Shi (Entropy, 2014)

Extremality of degree-based graph entropies. - Shujuan Cao; Matthias Dehmer; Yongtang Shi (Inf. Sci., 2014)

A computational approach to construct a multivariate complete graph invariant. - Matthias Dehmer; Frank Emmert-Streib; Martin Grabner (Inf. Sci., 2014)

Probabilistic inequalities for evaluating structural network measures. - Veronika Kraus; Matthias Dehmer; Frank Emmert-Streib (Inf. Sci., 2014)

Multi-touch Graph-Based Interaction for Knowledge Discovery on Mobile Devices: State-of-the-Art and Future Challenges. - Andreas Holzinger; Bernhard Ofner; Matthias Dehmer (Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 2014)

Introduction to the Internet of Things and Big Data Analytics Minitrack. - Frederick J. Riggins; Samuel Fosso Wamba; Matthias Dehmer (HICSS, 2015)

Time-Based Estimation of Vulnerable Points in the Munich Subway Network. - Marian Sorin Nistor; Doina Bein; Wolfgang W. Bein; Matthias Dehmer; Stefan Pickl (OR, 2015)

Degree-based entropies of networks revisited. - Shujuan Cao; Matthias Dehmer (Appl. Math. Comput., 2015)

Bounds for degree-based network entropies. - Zengqiang Chen 001; Matthias Dehmer; Yongtang Shi (Appl. Math. Comput., 2015)

Graph distance measures based on topological indices revisited. - Matthias Dehmer; Frank Emmert-Streib; Yongtang Shi (Appl. Math. Comput., 2015)

Encoding structural information uniquely with polynomial-based descriptors by employing the Randić matrix. - Matthias Dehmer; Miriana Moosbrugger; Yongtang Shi (Appl. Math. Comput., 2015)

Discrimination power of graph measures based on complex zeros of the partial Hosoya polynomial. - Matthias Dehmer; Yongtang Shi; Abbe Mowshowitz (Appl. Math. Comput., 2015)

A comparative analysis of the Tanimoto index and graph edit distance for measuring the topological similarity of trees. - Matthias Dehmer; Kurt Varmuza (Appl. Math. Comput., 2015)

On the distance based graph entropies. - Aleksandar Ilic; Matthias Dehmer (Appl. Math. Comput., 2015)

Novel inequalities for generalized graph entropies - Graph energies and topological indices. - Xueliang Li 001; Zhongmei Qin; Meiqin Wei; Ivan Gutman; Matthias Dehmer (Appl. Math. Comput., 2015)

Connections between generalized graph entropies and graph energy. - Matthias Dehmer; Xueliang Li 001; Yongtang Shi (Complex., 2015)

Entropy of Weighted Graphs with Randi'c Weights. - Zengqiang Chen 001; Matthias Dehmer; Frank Emmert-Streib; Yongtang Shi (Entropy, 2015)

The Hosoya Entropy of a Graph. - Abbe Mowshowitz; Matthias Dehmer (Entropy, 2015)

Introduction to Business Value of the Internet of Things Minitrack. - Frederick J. Riggins; Samuel Fosso Wamba; Matthias Dehmer (HICSS, 2016)

Comparison between the zeroth-order Randić index and the sum-connectivity index. - Kinkar Chandra Das; Matthias Dehmer (Appl. Math. Comput., 2016)

samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files. - Alexey Stupnikov; Shailesh Tripathi; Ricardo de Matos Simoes; Darragh G. McArt; Manuel Salto-Tellez; Galina V. Glazko; Matthias Dehmer; Frank Emmert-Streib (Bioinform., 2016)

Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules. - Shailesh Tripathi; Salissou Moutari; Matthias Dehmer; Frank Emmert-Streib (BMC Bioinform., 2016)

A case study of cracks in the scientific enterprise: Reinvention of information-theoretic measures for graphs. - Matthias Dehmer; Abbe Mowshowitz (Complex., 2016)

A case study of cracks in the scientific enterprise: Response to the comments. - Matthias Dehmer; Abbe Mowshowitz (Complex., 2016)

A method for inferring inequalities for probability values applied to complex networks. - Matthias Dehmer; Yongtang Shi (Complex., 2016)

A Conjecture Regarding the Extremal Values of Graph Entropy Based on Degree Powers. - Kinkar Chandra Das; Matthias Dehmer (Entropy, 2016)

Fifty years of graph matching, network alignment and network comparison. - Frank Emmert-Streib; Matthias Dehmer; Yongtang Shi (Inf. Sci., 2016)

Network Entropies Based on Independent Sets and Matchings. - Shujuan Cao; Matthias Dehmer; Zhe Kang (Appl. Math. Comput., 2017)

Principal minor version of Matrix-Tree theorem for mixed graphs. - Guihai Yu; Hui Qu; Matthias Dehmer (Appl. Math. Comput., 2017)

Toward Measuring Network Aesthetics Based on Symmetry. - Zengqiang Chen 001; Matthias Dehmer; Frank Emmert-Streib; Abbe Mowshowitz; Yongtang Shi (Axioms, 2017)

A review of connectivity map and computational approaches in pharmacogenomics. - Aliyu Musa; Laleh Soltan Ghoraie; Shu-Dong Zhang; Galina V. Glazko; Olli Yli-Harja; Matthias Dehmer; Benjamin Haibe-Kains; Frank Emmert-Streib (Briefings Bioinform., 2017)

sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters. - Shailesh Tripathi; Jason Lloyd-Price; Andre S. Ribeiro; Olli Yli-Harja; Matthias Dehmer; Frank Emmert-Streib (BMC Bioinform., 2017)

Highly unique network descriptors based on the roots of the permanental polynomial. - Matthias Dehmer; Frank Emmert-Streib; Bo Hu; Yongtang Shi; Monica Stefu; Shailesh Tripathi (Inf. Sci., 2017)

Quantitative Graph Theory: A new branch of graph theory and network science. - Matthias Dehmer; Frank Emmert-Streib; Yongtang Shi (Inf. Sci., 2017)

A comparative analysis of new graph distance measures and graph edit distance. - Tao Li 022; Han Dong; Yongtang Shi; Matthias Dehmer (Inf. Sci., 2017)

Computational prediction of therapeutic peptides based on graph index. - Chunrui Xu; Li Ge; Yusen Zhang 002; Matthias Dehmer; Ivan Gutman (J. Biomed. Informatics, 2017)

Graph operations based on using distance-based graph entropies. - Modjtaba Ghorbani; Matthias Dehmer; Samaneh Zangi (Appl. Math. Comput., 2018)

A hybrid binomial inverse hypergeometric probability distribution: Theory and applications. - Herbert Jodlbauer; Matthias Dehmer; Sonja Strasser (Appl. Math. Comput., 2018)

A calculus for measuring the elegance of abstract graphs. - Abbe Mowshowitz; Matthias Dehmer (Appl. Math. Comput., 2018)

Feature selection of gene expression data for Cancer classification using double RBF-kernels. - Shenghui Liu; Chunrui Xu; Yusen Zhang 002; Jiaguo Liu; Bin Yu 007; Xiaoping Liu 002; Matthias Dehmer (BMC Bioinform., 2018)

Understanding the World Economy in Terms of Networks: A Survey of Data-Based Network Science Approaches on Economic Networks. - Frank Emmert-Streib; Shailesh Tripathi; Olli Yli-Harja; Matthias Dehmer (Frontiers Appl. Math. Stat., 2018)

Data Analytics Applications for Streaming Data From Social Media: What to Predict? - Frank Emmert-Streib; Olli P. Yli-Harja; Matthias Dehmer (Frontiers Big Data, 2018)

Graph measures with high discrimination power revisited: A random polynomial approach. - Matthias Dehmer; Zengqiang Chen 001; Frank Emmert-Streib; Yongtang Shi; Shailesh Tripathi (Inf. Sci., 2018)

Interplay between SIR-based disease spreading and awareness diffusion on multiplex networks. - Chunyuan Zheng; Chengyi Xia; Quantong Guo; Matthias Dehmer (J. Parallel Distributed Comput., 2018)

MetrIntSimil - An Accurate and Robust Metric for Comparison of Similarity in Intelligence of Any Number of Cooperative Multiagent Systems. - László Barna Iantovics; Matthias Dehmer; Frank Emmert-Streib (Symmetry, 2018)

Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM. - Shailesh Tripathi; Sonja Strasser; Christian Mittermayr; Matthias Dehmer; Herbert Jodlbauer (DATA, 2019)

A Generalized Predictive Control-Based Path Following Method for Parafoil Systems in Wind Environments. - Jin Tao; Matthias Dehmer; Guangming Xie; Quan Zhou 001 (IEEE Access, 2019)

On efficient network similarity measures. - Matthias Dehmer; Zengqiang Chen 001; Yongtang Shi; Yusen Zhang 002; Shailesh Tripathi; Modjtaba Ghorbani; Abbe Mowshowitz; Frank Emmert-Streib (Appl. Math. Comput., 2019)

Hosoya entropy of fullerene graphs. - Modjtaba Ghorbani; Matthias Dehmer; Mina Rajabi-Parsa; Frank Emmert-Streib; Abbe Mowshowitz (Appl. Math. Comput., 2019)

Nordhaus-Gaddum type results for graph irregularities. - Yuede Ma; Shujuan Cao; Yongtang Shi; Matthias Dehmer; Chengyi Xia (Appl. Math. Comput., 2019)

Graph entropy based on the number of spanning forests of c-cyclic graphs. - Pengfei Wan; Jianhua Tu; Matthias Dehmer; Shenggui Zhang; Frank Emmert-Streib (Appl. Math. Comput., 2019)

A Graph Theoretic Approach to Construct Desired Cryptographic Boolean Functions. - Modjtaba Ghorbani; Matthias Dehmer; Vahid Taghvayi-Yazdelli; Frank Emmert-Streib (Axioms, 2019)

A Note on Distance-Based Entropy of Dendrimers. - Modjtaba Ghorbani; Matthias Dehmer; Samaneh Zangi; Abbe Mowshowitz; Frank Emmert-Streib (Axioms, 2019)

New inequalities for network distance measures by using graph spectra. - Matthias Dehmer; Stefan Pickl; Yongtang Shi; Guihai Yu (Discret. Appl. Math., 2019)

On Properties of Distance-Based Entropies on Fullerene Graphs. - Modjtaba Ghorbani; Matthias Dehmer; Mina Rajabi-Parsa; Abbe Mowshowitz; Frank Emmert-Streib (Entropy, 2019)

A Note on Graphs with Prescribed Orbit Structure. - Abbe Mowshowitz; Matthias Dehmer; Frank Emmert-Streib (Entropy, 2019)

Constrained Covariance Matrices With a Biologically Realistic Structure: Comparison of Methods for Generating High-Dimensional Gaussian Graphical Models. - Frank Emmert-Streib; Shailesh Tripathi; Matthias Dehmer (Frontiers Appl. Math. Stat., 2019)

Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach. - Matthias Dehmer; Zengqiang Chen 001; Frank Emmert-Streib; Abbe Mowshowitz; Yongtang Shi; Shailesh Tripathi; Yusen Zhang 002 (Inf. Sci., 2019)

On the degeneracy of the Randić entropy and related graph measures. - Matthias Dehmer; Zengqiang Chen 001; Abbe Mowshowitz; Herbert Jodlbauer; Frank Emmert-Streib; Yongtang Shi; Shailesh Tripathi; Chengyi Xia (Inf. Sci., 2019)

A new coupled disease-awareness spreading model with mass media on multiplex networks. - Chengyi Xia; Zhishuang Wang; Chunyuan Zheng; Quantong Guo; Yongtang Shi; Matthias Dehmer; Zengqiang Chen 001 (Inf. Sci., 2019)

Hermitian normalized Laplacian matrix for directed networks. - Guihai Yu; Matthias Dehmer; Frank Emmert-Streib; Herbert Jodlbauer (Inf. Sci., 2019)

Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations? - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

Defining Data Science by a Data-Driven Quantification of the Community. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

Large-Scale Simultaneous Inference with Hypothesis Testing: Multiple Testing Procedures in Practice. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

Introduction to Survival Analysis in Practice. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

Exploiting Genomic Relations in Big Data Repositories by Graph-Based Search Methods. - Aliyu Musa; Matthias Dehmer; Olli Yli-Harja; Frank Emmert-Streib (Mach. Learn. Knowl. Extr., 2019)

The Hosoya Entropy of Graphs Revisited. - Modjtaba Ghorbani; Matthias Dehmer; Abbe Mowshowitz; Jin Tao; Frank Emmert-Streib (Symmetry, 2019)

The Maximum Hosoya Index of Unicyclic Graphs with Diameter at Most Four. - Weijun Liu; Jingwen Ban; Lihua Feng; Tao Cheng; Frank Emmert-Streib; Matthias Dehmer (Symmetry, 2019)

A comprehensive survey of error measures for evaluating binary decision making in data science. - Frank Emmert-Streib; Salissou Moutari; Matthias Dehmer (WIREs Data Mining Knowl. Discov., 2019)

The Orbit-Polynomial: A Novel Measure of Symmetry in Networks. - Matthias Dehmer; Zengqiang Chen 001; Frank Emmert-Streib; Abbe Mowshowitz; Kurt Varmuza; Lihua Feng; Herbert Jodlbauer; Yongtang Shi; Jin Tao (IEEE Access, 2020)

Distributed Event-Triggered Circular Formation Control for Multiple Anonymous Mobile Robots With Order Preservation and Obstacle Avoidance. - Peng Xu; Wenxiang Li; Jin Tao; Matthias Dehmer; Frank Emmert-Streib; Guangming Xie; Minyi Xu; Quan Zhou 001 (IEEE Access, 2020)

Relations and bounds for the zeros of graph polynomials using vertex orbits. - Matthias Dehmer; Frank Emmert-Streib; Abbe Mowshowitz; Aleksandar Ilic; Zengqiang Chen 001; Guihai Yu; Lihua Feng; Modjtaba Ghorbani; Kurt Varmuza; Jin Tao (Appl. Math. Comput., 2020)

The watching system as a generalization of identifying code. - Modjtaba Ghorbani; Matthias Dehmer; Hamidreza Maimani; Sheyda Maddah; Maryam Roozbayani; Frank Emmert-Streib (Appl. Math. Comput., 2020)

A novel epidemic model considering demographics and intercity commuting on complex dynamical networks. - Qian Yin; Zhishuang Wang; Chengyi Xia; Matthias Dehmer; Frank Emmert-Streib; Zhen Jin 001 (Appl. Math. Comput., 2020)

An extension of the reorder point method by using advance demand spike information. - Herbert Jodlbauer; Matthias Dehmer (Comput. Oper. Res., 2020)

A clarification of misconceptions, myths and desired status of artificial intelligence. - Frank Emmert-Streib; Olli Yli-Harja; Matthias Dehmer (CoRR, 2020)

Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status. - Frank Emmert-Streib; Olli Yli-Harja; Matthias Dehmer (Frontiers Artif. Intell., 2020)

An Introductory Review of Deep Learning for Prediction Models With Big Data. - Frank Emmert-Streib; Zhen Yang 029; Han Feng; Shailesh Tripathi; Matthias Dehmer (Frontiers Artif. Intell., 2020)

On the zeros of the partial Hosoya polynomial of graphs. - Modjtaba Ghorbani; Matthias Dehmer; Shujuan Cao; Lihua Feng; Jin Tao; Frank Emmert-Streib (Inf. Sci., 2020)

On graph entropy measures based on the number of independent sets and matchings. - Pengfei Wan; Xinzhuang Chen; Jianhua Tu; Matthias Dehmer; Shenggui Zhang; Frank Emmert-Streib (Inf. Sci., 2020)

The Role of Symmetry in the Aesthetics of Residential Building Façades Using Cognitive Science Methods. - Hamidreza Azemati; Fatemeh Jam; Modjtaba Ghorbani; Matthias Dehmer; Reza Ebrahimpour; Abdolhamid Ghanbaran; Frank Emmert-Streib (Symmetry, 2020)

On the Degeneracy of the Orbit Polynomial and Related Graph Polynomials. - Modjtaba Ghorbani; Matthias Dehmer; Frank Emmert-Streib (Symmetry, 2020)

A Survey on Symmetry Group of Polyhedral Graphs. - Modjtaba Ghorbani; Matthias Dehmer; Shaghayegh Rahmani; Mina Rajabi-Parsa (Symmetry, 2020)

Analysis of the Graovac-Pisanski Index of Some Polyhedral Graphs Based on Their Symmetry Group. - Modjtaba Ghorbani; Mardjan Hakimi-Nezhaad; Matthias Dehmer; Xueliang Li 001 (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. - Weijun Liu; Jingwen Ban; Lihua Feng; Tao Cheng; Frank Emmert-Streib; Matthias Dehmer (Symmetry, 2020)

Partition and Colored Distances in Graphs Induced to Subsets of Vertices and Some of Its Applications. - Mohammad Javad Nadjafi-Arani; Mahsa Mirzargar; Frank Emmert-Streib; Matthias Dehmer (Symmetry, 2020)

Explainable artificial intelligence and machine learning: A reality rooted perspective. - Frank Emmert-Streib; Olli Yli-Harja; Matthias Dehmer (WIREs Data Mining Knowl. Discov., 2020)

Power System Load Frequency Active Disturbance Rejection Control via Reinforcement Learning-Based Memetic Particle Swarm Optimization. - Yuemin Zheng; Zhaoyang Huang; Jin Tao; Hao Sun 018; Qinglin Sun; Matthias Dehmer; Mingwei Sun; Zengqiang Chen 001 (IEEE Access, 2021)

Servo Health Monitoring Based on Feature Learning via Deep Neural Network. - Yajing Zhou; Yuemin Zheng; Jin Tao; Mingwei Sun; Qinglin Sun; Matthias Dehmer; Zengqiang Chen 001 (IEEE Access, 2021)

Fluid-Structure Interaction Simulation and Accurate Dynamic Modeling of Parachute Warhead System Based on Impact Point Prediction. - Hong Zhu; Qinglin Sun; Jin Tao; Pan-Long Tan; Zengqiang Chen 001; Matthias Dehmer; Guangming Xie (IEEE Access, 2021)

New results of identifying codes in product graphs. - Sheyda Maddah; Modjtaba Ghorbani; Matthias Dehmer (Appl. Math. Comput., 2021)

On conjectures of network distance measures by using graph spectra. - Aleksandar Ilic; Modjtaba Ghorbani; Seyran Azizi; Matthias Dehmer (Discret. Appl. Math., 2021)

Data-Driven Computational Social Network Science: Predictive and Inferential Models for Web-Enabled Scientific Discoveries. - Frank Emmert-Streib; Matthias Dehmer (Frontiers Big Data, 2021)

Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing. - Shailesh Tripathi; David Muhr; Manuel Brunner; Herbert Jodlbauer; Matthias Dehmer; Frank Emmert-Streib (Frontiers Artif. Intell., 2021)

On the relationship between PageRank and automorphisms of a graph. - Modjtaba Ghorbani; Matthias Dehmer; Abdullah Lotfi; Najaf Amraei; Abbe Mowshowitz; Frank Emmert-Streib (Inf. Sci., 2021)

Relationships between symmetry-based graph measures. - Yuede Ma; Matthias Dehmer; Urs-Martin Künzi; Abbe Mowshowitz; Shailesh Tripathi; Modjtaba Ghorbani; Frank Emmert-Streib (Inf. Sci., 2021)

Properties of Commuting Graphs over Semidihedral Groups. - Tao Cheng; Matthias Dehmer; Frank Emmert-Streib; Yongtao Li; Weijun Liu (Symmetry, 2021)

Network Analyzing by the Aid of Orbit Polynomial. - Modjtaba Ghorbani; Matthias Dehmer (Symmetry, 2021)

On the Roots of the Modified Orbit Polynomial of a Graph. - Modjtaba Ghorbani; Matthias Dehmer (Symmetry, 2021)

Orbit Polynomial of Graphs versus Polynomial with Integer Coefficients. - Modjtaba Ghorbani; Maryam Jalali-Rad; Matthias Dehmer (Symmetry, 2021)

Szeged-like entropies of graphs. - Matthias Dehmer; Frank Emmert-Streib; Niko Tratnik; Petra Zigert Pletersek (Appl. Math. Comput., 2022)

Novel results on partial hosoya polynomials: An application in chemistry. - Modjtaba Ghorbani; Mardjan Hakimi-Nezhaad; Matthias Dehmer (Appl. Math. Comput., 2022)

Flexible modeling of parafoil delivery system in wind environments. - Hong Zhu; Qinglin Sun; Jin Tao; Zengqiang Chen 001; Matthias Dehmer; Guangming Xie (Commun. Nonlinear Sci. Numer. Simul., 2022)

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. - Andreas Holzinger; Matthias Dehmer; Frank Emmert-Streib; Rita Cucchiara; Isabelle Augenstein; Javier Del Ser; Wojciech Samek; Igor Jurisica; Natalia Díaz Rodríguez (Inf. Fusion, 2022)

A data-centric review of deep transfer learning with applications to text data. - Samar Bashath; Nadeesha Perera; Shailesh Tripathi; Kalifa Manjang; Matthias Dehmer; Frank Emmert-Streib (Inf. Sci., 2022)

The usefulness of topological indices. - Yuede Ma; Matthias Dehmer; Urs-Martin Künzi; Shailesh Tripathi; Modjtaba Ghorbani; Jin Tao; Frank Emmert-Streib (Inf. Sci., 2022)

Comparison of Text Mining Models for Food and Dietary Constituent Named-Entity Recognition. - Nadeesha Perera; Thi Thuy Linh Nguyen; Matthias Dehmer; Frank Emmert-Streib (Mach. Learn. Knowl. Extr., 2022)

A Novel Chaotic Fractional-Order Beetle Swarm Optimization Algorithm and Its Application for Load-Frequency Active Disturbance Rejection Control. - Yuemin Zheng; Zhaoyang Huang; Jin Tao; Hao Sun 018; Qinglin Sun; Mingwei Sun; Matthias Dehmer; Zengqiang Chen 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Taxonomy of machine learning paradigms: A data-centric perspective. - Frank Emmert-Streib; Matthias Dehmer (WIREs Data Mining Knowl. Discov., 2022)

Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure. - Frank Emmert-Streib; Shailesh Tripathi; Matthias Dehmer (IEEE Access, 2023)

Szeged and Mostar root-indices of graphs. - Simon Brezovnik; Matthias Dehmer; Niko Tratnik; Petra Zigert Pletersek (Appl. Math. Comput., 2023)

List injective coloring of planar graphs. - Jiansheng Cai; Wenwen Li; Wenjing Cai; Matthias Dehmer (Appl. Math. Comput., 2023)

A Note on Eigenvalues and Asymmetric Graphs. - Abdullah Lotfi; Abbe Mowshowitz; Matthias Dehmer (Axioms, 2023)

Human Team Behavior and Predictability in the Massively Multiplayer Online Game WOT Blitz. - Frank Emmert-Streib; Shailesh Tripathi; Matthias Dehmer (ACM Trans. Web, 2024)

Fullerenes via their counting polynomials. - Modjtaba Ghorbani; Razie Alidehi-Ravandi; Matthias Dehmer (Appl. Math. Comput., 2024)

Automorphism Groups in Polyhedral Graphs. - Modjtaba Ghorbani; Razie Alidehi-Ravandi; Matthias Dehmer (Symmetry, 2024)

Aspects on the optimal decoupling point setting problem. - Herbert Jodlbauer; Matthias Dehmer; Frank Emmert-Streib (Appl. Math. Comput., 2025)

Complexity measures in trees: a comparative investigation of Szeged and Wiener indices. - Modjtaba Ghorbani; Zahra Vaziri; Matthias Dehmer (Comput. Appl. Math., 2025)

On the Wiener-like root-indices of graphs. - Simon Brezovnik; Matthias Dehmer; Niko Tratnik; Petra Zigert Pletersek (Comput. Appl. Math., 2025)