M. Dehmer

M. Dehmer, F. Emmert-Streib, S. Borgert, 2008, 2008 First International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems. Medical Applications of the Complex Systems. Biomedical Computing.

Analysis of Complex Networks: From Biology to Linguistics

M. Dehmer, F. Emmert-Streib, 2009 .

Graph kernels in chemoinformatics

M. Dehmer, F. Emmert-Streib, L. Brun, 2015 .

Ranking Genes from DNA Microarray Data of Cervical Cancer by a local Tree Comparison

M. Dehmer, M. Mühlhäuser, J. Liu, 2006 .

A Systems Approach to Gene Ranking from DNA Microarray Data of Cervical Cancer

M. Dehmer, M. Mühlhäuser, F. Streib, 2007 .

A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data

G. Glazko, M. Dehmer, F. Emmert-Streib, 2012, Scientific Reports.

Erratum: Protein Sequence Comparison Based on Physicochemical Properties and the Position-Feature Energy Matrix

Yongtang Shi, Matthias Dehmer, Ivan Gutman, 2017, Scientific Reports.

Interfacing cellular networks of S. cerevisiae and E. coli: Connecting dynamic and genetic information

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2013, BMC Genomics.

Prostate Cancer Gene Regulatory Network Inferred from RNA-Seq Data

M. Dehmer, F. Emmert-Streib, R. D. Simoes, 2019, Current genomics.

Utilizing Social Media Data for Psychoanalysis to Study Human Personality

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2019, Front. Psychol..

The Discrimination Power of Molecular Identification Numbers Revisited

Matthias Dehmer, Martin Grabner, M. Dehmer, 2013 .

Analysis of Metabolic Networks : On the Similarity of the three Domains of Life

Laurin A. J. Mueller, Karl G. Kugler, M. Dehmer, 2011 .

Comments to “Quantification of network structural dissimilarities” published by Schieber et al

M. Dehmer, F. Emmert-Streib, 2018, Mathematical Methods in the Applied Sciences.

On Extremal Properties of Graph Entropies

Matthias Dehmer, Veronika Kraus, M. Dehmer, 2012 .

Structural Analysis of Treatment Cycles Representing Transitions between Nursing Organizational Units Inferred from Diabetes

M. Dehmer, F. Emmert-Streib, C. Them, 2015, PloS one.

Network nursing: connections between nursing and complex network science.

M. Dehmer, F. Emmert-Streib, C. Them, 2013, International journal of nursing knowledge.

Understanding Intelligent and Complex Systems 1 INTRODUCTION INFORMATION MEASURES TO CHARACTERIZE WEIGHTED CHEMICAL STRUCTURES

M. Dehmer, S. Borgert, 2010 .

Towards Structural Network Analysis

M. Dehmer, M. Popovscaia, 2010 .

Understanding Intelligent and Complex Systems A COMPARATIVE STUDY OF COMPLEXITY MEASURES TO ANALYZE BUSINESS PROCESS MODELS

M. Dehmer, S. Borgert, Erwin Aitenbichler, 2010 .

On the Information Content of weighted chemical Structures

M. Dehmer, S. Borgert, Stephan Borgert, 2009 .

Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data

M. Dehmer, Wei Chen, Rui Gao, 2020, BMC Genomics.

Biological networks: the microscope of the twenty-first century?

M. Dehmer, F. Emmert-Streib, 2015, Front. Genet..

Bounds on the moduli of polynomial zeros

Matthias Dehmer, Abbe Mowshowitz, M. Dehmer, 2011, Appl. Math. Comput..

Numerical Evaluation and Comparison of Kalantari's Zero Bounds for Complex Polynomials

M. Dehmer, Y. Tsoy, 2014, PloS one.

The Quality of Zero Bounds for Complex Polynomials

M. Dehmer, Y. Tsoy, 2012, PloS one.

Enhancing systems medicine beyond genotype data by dynamic patient signatures: having information and using it too

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2013, Front. Genet..

A hybrid binomial inverse hypergeometric probability distribution: Theory and applications

Matthias Dehmer, Herbert Jodlbauer, Sonja Strasser, 2018, Appl. Math. Comput..

Graph distance measures based on topological indices revisited

Yongtang Shi, Matthias Dehmer, Frank Emmert-Streib, 2015, Appl. Math. Comput..

Redundancy analysis for characterizing the correlation between groups of variables - Applied to molecular descriptors

P. Filzmoser, B. Liebmann, K. Varmuza, 2012 .

Overview of Public Cancer Databases, Resources, and Visualization Tools

M. Dehmer, F. Emmert-Streib, S. Tripathi, 2013 .

Taxonomy of machine learning paradigms: A data‐centric perspective

M. Dehmer, F. Emmert-Streib, F. Emmert‐Streib, 2022, WIREs Data Mining Knowl. Discov..

Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices

M. Dehmer, Yongtang Shi, S. Tripathi, 2015, PloS one.

Proceedings of the 2007 International Conference on Machine Learning; Models, Technologies & Applications, MLMTA 2007, June 25-28, 2007, Las Vegas Nevada, USA

Hamid R. Arabnia, Mary Qu Yang, Matthias Dehmer, 2007, MLMTA.

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

Isabelle Augenstein, Rita Cucchiara, Wojciech Samek, 2021, Inf. Fusion.

Computational Analysis of the structural properties of Economic and Financial Networks

Matthias Dehmer, Olli Yli-Harja, Herbert Jodlbauer, 2017, 1710.04455.

A clarification of misconceptions, myths and desired status of artificial intelligence

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2020, ArXiv.

DNA Microarray Data of C ervical C ancer

M. Dehmer, M. Mühlhäuser, F. Streib, 2012 .

Discrimination power of graph measures based on complex zeros of the partial Hosoya polynomial

Yongtang Shi, Matthias Dehmer, Abbe Mowshowitz, 2015, Appl. Math. Comput..

Novel results on partial hosoya polynomials: An application in chemistry

M. Dehmer, M. Ghorbani, M. Hakimi-Nezhaad, 2022, Appl. Math. Comput..

On Bounds For The Zeros of Univariate Polynomials

M. Dehmer, J. Kilian, 2007 .

Feature selection of gene expression data for Cancer classification using double RBF-kernels

Bin Yu, Xiaoping Liu, Matthias Dehmer, 2018, BMC Bioinformatics.

The usefulness of topological indices

M. Dehmer, F. Emmert-Streib, S. Tripathi, 2022, Inf. Sci..

Computational Network Analysis with R: Applications in Biology, Medicine, and Chemistry

M. Dehmer, F. Emmert-Streib, Yongtang Shi, 2016 .

An Introductory Review of Deep Learning for Prediction Models With Big Data

M. Dehmer, F. Emmert-Streib, S. Tripathi, 2020, Frontiers in Artificial Intelligence.

Identifying anticancer peptides by using a generalized chaos game representation

M. Dehmer, Yusen Zhang, Jiaguo Liu, 2018, Journal of Mathematical Biology.

The orbit-polynomial

K. Varmuza, M. Dehmer, F. Emmert-Streib, 2020 .

A history of graph entropy measures

Matthias Dehmer, Abbe Mowshowitz, M. Dehmer, 2011, Inf. Sci..

Frontiers in Data Science

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2017 .

Towards an Information Theory of Complex Networks - Statistical Methods and Applications

Matthias Dehmer, Frank Emmert-Streib, Alexander Mehler, 2011 .

A Generalized Predictive Control-Based Path Following Method for Parafoil Systems in Wind Environments

Guangming Xie, Quan Zhou, Jin Tao, 2019, IEEE Access.

Explainable artificial intelligence and machine learning: A reality rooted perspective

Matthias Dehmer, Frank Emmert-Streib, Olli Yli-Harja, 2020, WIREs Data Mining Knowl. Discov..

Entropy and the Complexity of Graphs Revisited

Matthias Dehmer, Abbe Mowshowitz, M. Dehmer, 2012, Entropy.

An extension of the reorder point method by using advance demand spike information

Matthias Dehmer, Herbert Jodlbauer, M. Dehmer, 2020, Comput. Oper. Res..

Recent Developments in Network Analysis and their Applications (Invited Paper)

Matthias Dehmer, Stefan Pickl, Zhonglin Wang, 2015 .

Information processing in complex networks: Graph entropy and information functionals

Matthias Dehmer, M. Dehmer, 2008, Appl. Math. Comput..

Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules

Matthias Dehmer, Frank Emmert-Streib, Salissou Moutari, 2016, BMC Bioinformatics.

Fifty years of graph matching, network alignment and network comparison

Yongtang Shi, Matthias Dehmer, Frank Emmert-Streib, 2016, Inf. Sci..

Towards Logical Hypertext Structure A Graph-Theoretic Perspective

Alexander Mehler, Matthias Dehmer, Rüdiger Gleim, 2006 .

Towards Logical Hypertext Structure

Alexander Mehler, Matthias Dehmer, Rüdiger Gleim, 2004, IICS.

Are There Limits in Explainability of Prognostic Biomarkers? Scrutinizing Biological Utility of Established Signatures

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2021, Cancers.

Functional and genetic analysis of the colon cancer network

Andreas Holzinger, Benjamin Haibe-Kains, Matthias Dehmer, 2014, BMC Bioinformatics.

The gene regulatory network for breast cancer: integrated regulatory landscape of cancer hallmarks

Matthias Dehmer, Frank Emmert-Streib, Benjamin Haibe-Kains, 2014, Front. Genet..

A review of connectivity map and computational approaches in pharmacogenomics

Laleh Soltan Ghoraie, Benjamin Haibe-Kains, Matthias Dehmer, 2017, Briefings Bioinform..

Comparing biological information contained in mRNA and non-coding RNAs for classification of lung cancer patients

Matthias Dehmer, Frank Emmert-Streib, Alexey Stupnikov, 2019, BMC Cancer.

Network-Based Methods for Computational Diagnostics by Means of R

Matthias Dehmer, Frank Emmert-Streib, Laurin A. J. Mueller, 2012 .

Quantitative Network Measures as Biomarkers for Classifying Prostate Cancer Disease States: A Systems Approach to Diagnostic Biomarkers

Matthias Dehmer, Frank Emmert-Streib, Laurin A. J. Mueller, 2013, PloS one.

L1000 Viewer: A Search Engine and Web Interface for the LINCS Data Repository

Matthias Dehmer, Frank Emmert-Streib, Shailesh Tripathi, 2019, Front. Genet..

Systems Pharmacogenomic Landscape of Drug Similarities from LINCS data: Drug Association Networks

Olli Yli-Harja, Shailesh Tripathi, Matthias Dehmer, 2019, Scientific Reports.

Exploiting Genomic Relations in Big Data Repositories by Graph-Based Search Methods

Matthias Dehmer, Frank Emmert-Streib, Olli Yli-Harja, 2018, Mach. Learn. Knowl. Extr..

Harnessing the biological complexity of Big Data from LINCS gene expression signatures

Meenakshisundaram Kandhavelu, Shailesh Tripathi, Matthias Dehmer, 2018, PloS one.

A comprehensive survey of error measures for evaluating binary decision making in data science

Matthias Dehmer, Frank Emmert-Streib, Salissou Moutari, 2019, WIREs Data Mining Knowl. Discov..

Large-Scale Simultaneous Inference with Hypothesis Testing: Multiple Testing Procedures in Practice

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2019, Mach. Learn. Knowl. Extr..

Feature selection of gene expression data for Cancer classification using double RBF-kernels

M. Dehmer, Xiaoping Liu, Yusen Zhang, 2018, BMC Bioinformatics.

Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2019, Mach. Learn. Knowl. Extr..

Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2019, Mach. Learn. Knowl. Extr..

Visualization of Biological Networks Using NetBioV: Applications in Biology, Medicine, and Chemistry

Matthias Dehmer, Frank Emmert-Streib, Salissou Moutari, 2016 .

Quantitative Graph Theory: A new branch of graph theory and network science pdf

Yongtang Shi, Matthias Dehmer, Frank Emmert-Streib, 2017, Inf. Sci..

Measuring the Structural Similarity of Web-based Documents: A Novel Approach

Alexander Mehler, Matthias Dehmer, Jürgen Kilian, 2007 .

Application of a Similarity Measure for Graphs to Web-based Document Structures

Max Mühlhäuser, Alexander Mehler, Matthias Dehmer, 2007 .

Towards Clustering of Web-based Document Structures

Matthias Dehmer, Jürgen Kilian, Andreas Zulauf, 2005 .

Comparing deep belief networks with support vector machines for classifying gene expression data from complex disorders

Matthias Dehmer, Johannes Smolander, Frank Emmert‐Streib, 2019, FEBS open bio.

Introduction to Survival Analysis in Practice

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2019, Mach. Learn. Knowl. Extr..

Impact of information diffusion on epidemic spreading in partially mapping two-layered time-varying networks

M. Dehmer, Qian Yin, Haili Guo, 2021, Nonlinear Dynamics.

Computational prediction of therapeutic peptides based on graph index

Matthias Dehmer, Li Ge, Ivan Gutman, 2017, J. Biomed. Informatics.

Prediction of therapeutic peptides by incorporating q-Wiener index into Chou ’ s general PseAAC

Matthias Dehmer, Ivan Gutman, Yusen Zhang, 2017 .

The Orbit-Polynomial: A Novel Measure of Symmetry in Networks

Jin Tao, Zengqiang Chen, Matthias Dehmer, 2020, IEEE Access.

On the degeneracy of the Randić entropy and related graph measures

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2019, Inf. Sci..

Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2019, Inf. Sci..

Graph measures with high discrimination power revisited: A random polynomial approach

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2018, Inf. Sci..

Highly unique network descriptors based on the roots of the permanental polynomial

Bo Hu, Yongtang Shi, Matthias Dehmer, 2017, Inf. Sci..

NetBioV: an R package for visualizing large network data in biology and medicine

Matthias Dehmer, Frank Emmert-Streib, Shailesh Tripathi, 2014, Bioinform..

Untangling statistical and biological models to understand network inference: the need for a genomics network ontology

Benjamin Haibe-Kains, Matthias Dehmer, Frank Emmert-Streib, 2014, Front. Genet..

High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2019, Mach. Learn. Knowl. Extr..

Defining Data Science by a Data-Driven Quantification of the Community

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2018, Mach. Learn. Knowl. Extr..

A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2018, Mach. Learn. Knowl. Extr..

Limitations of Explainability for Established Prognostic Biomarkers of Prostate Cancer

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2021, Frontiers in Genetics.

Graph-based exploitation of gene ontology using GOxploreR for scrutinizing biological significance

Frank Emmert-Streib, Olli Yli-Harja, Shailesh Tripathi, 2020, Scientific Reports.

Data Analytics Applications for Streaming Data From Social Media: What to Predict?

Matthias Dehmer, Frank Emmert-Streib, Olli P. Yli-Harja, 2018, Front. Big Data.

Nonlinear time series prediction based on a power-law noise model

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2007 .

Networks for systems biology: conceptual connection of data and function.

F Emmert-Streib, M Dehmer, M. Dehmer, 2011, IET systems biology.

A review of connectivity map and computational approaches in pharmacogenomics

Laleh Soltan Ghoraie, Benjamin Haibe-Kains, Matthias Dehmer, 2017, Briefings Bioinform..

Probabilistic inequalities for evaluating structural network measures

Matthias Dehmer, Frank Emmert-Streib, Veronika Kraus, 2014, Inf. Sci..

Information theoretic measures of UHG graphs with low computational complexity

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2007, Appl. Math. Comput..

Exploring Statistical and Population Aspects of Network Complexity

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2012, PloS one.

Fault tolerance of information processing in gene networks

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2009 .

Statistical and Machine Learning Approaches for Network Analysis

Matthias Dehmer, Subhash C. Basak, M. Dehmer, 2012 .

Multi-touch Graph-Based Interaction for Knowledge Discovery on Mobile Devices: State-of-the-Art and Future Challenges

Andreas Holzinger, Matthias Dehmer, Bernhard Ofner, 2014, Interactive Knowledge Discovery and Data Mining in Biomedical Informatics.

Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions

I. Jurisica, M. Dehmer, Andreas Holzinger, 2014, BMC Bioinformatics.

Named Entity Recognition and Relation Detection for Biomedical Information Extraction

Matthias Dehmer, Frank Emmert-Streib, Nadeesha Perera, 2020, Frontiers in Cell and Developmental Biology.

Understanding the World Economy in Terms of Networks: A Survey of Data-Based Network Science Approaches on Economic Networks

Matthias Dehmer, Olli Yli-Harja, Shailesh Tripathi, 2018, Front. Appl. Math. Stat..

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, 2018, Symmetry.

Hosoya entropy of fullerene graphs

Matthias Dehmer, Abbe Mowshowitz, Frank Emmert-Streib, 2019, Appl. Math. Comput..

Connections between generalized graph entropies and graph energy

Xueliang Li, Yongtang Shi, Matthias Dehmer, 2015, Complex..

Identifying anticancer peptides by using a generalized chaos game representation

Yusen Zhang, Matthias Dehmer, Jiaguo Liu, 2018, Journal of mathematical biology.

Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations?

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2018, Mach. Learn. Knowl. Extr..

Quantitative graph theory : mathematical foundations and applications

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2014 .

A Novel Chaotic Fractional-Order Beetle Swarm Optimization Algorithm and Its Application for Load-Frequency Active Disturbance Rejection Control

Qinglin Sun, Zengqiang Chen, Matthias Dehmer, 2021, IEEE Transactions on Circuits and Systems II: Express Briefs.

Comparing large graphs efficiently by margins of feature vectors

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2007, Appl. Math. Comput..

On Terrain Coverage Optimization by Using a Network Approach for Universal Graph-Based Data Mining and Knowledge Discovery

Andreas Holzinger, Matthias Dehmer, Stefan Pickl, 2014, Brain Informatics and Health.

Against Dataism and for Data Sharing of Big Biomedical and Clinical Data with Research Parasites

Matthias Dehmer, Frank Emmert-Streib, Olli Yli-Harja, 2016, Front. Genet..

Network analysis using a novel highly discriminating topological index

Matthias Dehmer, Aleksandar Ilic, Kurt Varmuza, 2011, Complex..

Uniquely Discriminating Molecular Structures Using Novel Eigenvalue-Based Descriptors

Matthias Dehmer, Lavanya Sivakumar, M. Dehmer, 2012 .

Systems biology: opening new avenues in clinical research.

Mark Girolami, Matthias Dehmer, Paul Perco, 2010, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

Combining deep learning with token selection for patient phenotyping from electronic health records

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2020, Scientific Reports.

On structure-sensitivity of degree-based topological indices

Matthias Dehmer, Boris Furtula, Ivan Gutman, 2013, Appl. Math. Comput..

Topological mappings between graphs, trees and generalized trees

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2007, Appl. Math. Comput..

Information Theory of Networks

Matthias Dehmer, M. Dehmer, 2011, Symmetry.

Ensuring Quality Standards and Reproducible Research for Data Analysis Services in Oncology: A Cooperative Service Model

Matthias Dehmer, Frank Emmert-Streib, Olli Yli-Harja, 2019, Front. Cell Dev. Biol..

Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing

Matthias Dehmer, Frank Emmert-Streib, Herbert Jodlbauer, 2020, Frontiers in Artificial Intelligence.

Statistical modelling of molecular descriptors in QSAR/QSPR

Danail Bonchev, Matthias Dehmer, Kurt Varmuza, 2012 .

Extremality of degree-based graph entropies

Yongtang Shi, Shujuan Cao, Matthias Dehmer, 2014, Inf. Sci..

On Graph Entropy Measures for Knowledge Discovery from Publication Network Data

André Calero Valdez, Martina Ziefle, Andreas Holzinger, 2013, CD-ARES.

Identifying critical financial networks of the DJIA: Toward a network-based index

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2010, Complex..

Properties of Commuting Graphs over Semidihedral Groups

Weijun Liu, Matthias Dehmer, Frank Emmert-Streib, 2021, Symmetry.

Data-Driven Computational Social Network Science: Predictive and Inferential Models for Web-Enabled Scientific Discoveries

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2021, Frontiers in Big Data.

INFORMATION-THEORETIC CONCEPTS FOR THE ANALYSIS OF COMPLEX NETWORKS

Matthias Dehmer, M. Dehmer, 2008, Appl. Artif. Intell..

Mining Graph Patterns in Web-based Systems: A Conceptual View

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2011, Genres on the Web.

A new coupled disease-awareness spreading model with mass media on multiplex networks

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2019, Inf. Sci..

Effects of Pooling Samples on the Performance of Classification Algorithms: A Comparative Study

Christian Baumgartner, Klaus R. Liedl, Michael Netzer, 2012, TheScientificWorldJournal.

Degree of satisfaction-based adaptive interaction in spatial Prisoner’s dilemma

M. Dehmer, Jianlei Zhang, J. Dang, 2022, Nonlinear Dynamics.

Degree of satisfaction-based adaptive interaction in spatial Prisoner’s dilemma

M. Dehmer, Jianlei Zhang, J. Dang, 2021, Nonlinear Dynamics.

The networked cooperative dynamics of adjusting signal strength based on information quantity

Jianlei Zhang, Matthias Dehmer, Zengqiang Chen, 2020 .

The networked cooperative dynamics of adjusting signal strength based on information quantity

Ju H. Park, M. Dehmer, Jianlei Zhang, 2020, Nonlinear Dynamics.

QuACN: an R package for analyzing complex biological networks quantitatively

Matthias Dehmer, Laurin A. J. Mueller, Armin Graber, 2011, Bioinform..

FCTP-WSRC: Protein–Protein Interactions Prediction via Weighted Sparse Representation Based Classification

Wei Chen, Matthias Dehmer, Da Xu, 2020, Frontiers in Genetics.

Applied Statistics for Network Biology: Methods in Systems Biology

Matthias Dehmer, Frank Emmert-Streib, Armindo Salvador, 2011 .

Entropy of Weighted Graphs with Randi'c Weights

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2015, Entropy.

Toward Measuring Network Aesthetics Based on Symmetry

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2017, Axioms.

The Hosoya Entropy of a Graph

Matthias Dehmer, Abbe Mowshowitz, M. Dehmer, 2015, Entropy.

Large-scale analysis of structural branching measures

Matthias Dehmer, M. Dehmer, Michael Schutte, 2014, Journal of Mathematical Chemistry.

Interplay between SIR-based disease spreading and awareness diffusion on multiplex networks

Matthias Dehmer, Chengyi Xia, Quantong Guo, 2018, J. Parallel Distributed Comput..

The Role of Symmetry in the Aesthetics of Residential Building Façades Using Cognitive Science Methods

Reza Ebrahimpour, Matthias Dehmer, Frank Emmert-Streib, 2020, Symmetry.

Aisles through the Category Forest - Utilising the Wikipedia Category System for Corpus Building in Machine Learning

Alexander Mehler, Matthias Dehmer, Rüdiger Gleim, 2007, WEBIST.

Network Entropies Based on Independent Sets and Matchings

Shujuan Cao, Matthias Dehmer, Zhe Kang, 2017, Appl. Math. Comput..

Bounds for degree-based network entropies

Yongtang Shi, Matthias Dehmer, Zengqiang Chen, 2015, Appl. Math. Comput..

Degree-based entropies of networks revisited

Shujuan Cao, Matthias Dehmer, M. Dehmer, 2015, Appl. Math. Comput..

Information Theory and Statistical Learning

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2010 .

Novel topological descriptors for analyzing biological networks

Matthias M Dehmer, Nicola N Barbarini, Kurt K Varmuza, 2010, BMC Structural Biology.

Inequalities for entropy-based measures of network information content

Matthias Dehmer, Abbe Mowshowitz, M. Dehmer, 2010, Appl. Math. Comput..

On Entropy-Based Molecular Descriptors: Statistical Analysis of Real and Synthetic Chemical Structures

Stephan Borgert, Matthias Dehmer, Frank Emmert-Streib, 2009, J. Chem. Inf. Model..

Application of Graph Entropy for Knowledge Discovery and Data Mining in Bibliometric Data

André Calero Valdez, Andreas Holzinger, Matthias Dehmer, 2016 .

A Note on Distance-based Graph Entropies

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2014, Entropy.

Power System Load Frequency Active Disturbance Rejection Control via Reinforcement Learning-Based Memetic Particle Swarm Optimization

Qinglin Sun, Zengqiang Chen, Matthias Dehmer, 2021, IEEE Access.

Encoding structural information uniquely with polynomial-based descriptors by employing the Randić matrix

Yongtang Shi, Matthias Dehmer, Miriana Moosbrugger, 2015, Appl. Math. Comput..

Novel inequalities for generalized graph entropies - Graph energies and topological indices

Xueliang Li, Matthias Dehmer, Meiqin Wei, 2015, Appl. Math. Comput..

Entropy bounds for dendrimers

Yongtang Shi, Zengqiang Chen, Matthias Dehmer, 2014, Appl. Math. Comput..

Towards Information Inequalities for Generalized Graph Entropies

Matthias Dehmer, Lavanya Sivakumar, M. Dehmer, 2012, PloS one.

Recent Developments in Quantitative Graph Theory: Information Inequalities for Networks

Matthias Dehmer, Lavanya Sivakumar, M. Dehmer, 2012, PloS one.

Generalized graph entropies

Matthias Dehmer, Abbe Mowshowitz, M. Dehmer, 2011, Complex..

Connections between Classical and Parametric Network Entropies

Matthias Dehmer, Abbe Mowshowitz, Frank Emmert-Streib, 2011, PloS one.

Structural information content of networks: Graph entropy based on local vertex functionals

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2008, Comput. Biol. Chem..

Hierarchical coordination of periodic genes in the cell cycle of Saccharomyces cerevisiae

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2009, BMC Systems Biology.

Organizational Structure of the Transcriptional Regulatory Network of Yeast: Periodic Genes

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2009, Complex.

Global Genetics Research in Prostate Cancer: A Text Mining and Computational Network Theory Approach

Matthias Dehmer, Frank Emmert-Streib, Aliyu Musa, 2019, Front. Genet..

Fluid-Structure Interaction Simulation and Accurate Dynamic Modeling of Parachute Warhead System Based on Impact Point Prediction

Zengqiang Chen, Qinglin Sun, M. Dehmer, 2021, IEEE Access.

QuACN : Qu antitative A nalyze of C omplex N etworks

Laurin A. J. Mueller, Karl G. Kugler, M. Dehmer, 2012 .

A novel epidemic model considering demographics and intercity commuting on complex dynamical networks

Qian Yin, Matthias Dehmer, Frank Emmert-Streib, 2020, Appl. Math. Comput..

Principal minor version of Matrix-Tree theorem for mixed graphs

Matthias Dehmer, Guihai Yu, Hui Qu, 2017, Appl. Math. Comput..

New inequalities for network distance measures by using graph spectra

Yongtang Shi, Matthias Dehmer, Stefan Pickl, 2016, Discret. Appl. Math..

A Survey on Symmetry Group of Polyhedral Graphs

Matthias Dehmer, Modjtaba Ghorbani, Mina Rajabi-Parsa, 2020, Symmetry.

On the relationship between PageRank and automorphisms of a graph

Matthias Dehmer, Abbe Mowshowitz, Frank Emmert-Streib, 2021, Inf. Sci..

Network Analyzing by the Aid of Orbit Polynomial

Matthias Dehmer, Modjtaba Ghorbani, M. Dehmer, 2021, Symmetry.

Collaborative risk management for national security and strategic foresight

Silja Meyer-Nieberg, Matthias Dehmer, Stefan Pickl, 2015 .

The Discrimination Power of Structural SuperIndices

Matthias Dehmer, Abbe Mowshowitz, M. Dehmer, 2013, PloS one.

Computational network theory : theoretical foundations and applications

Matthias Dehmer, Frank Emmert-Streib, Stefan Pickl, 2015 .

Netmes: Assessing Gene Network Inference Algorithms by Network-Based Measures

M. Dehmer, G. Altay, F. Emmert-Streib, 2014, Evolutionary bioinformatics online.

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2007, Appl. Math. Comput..

Constrained Covariance Matrices With a Biologically Realistic Structure: Comparison of Methods for Generating High-Dimensional Gaussian Graphical Models

Matthias Dehmer, Frank Emmert-Streib, Shailesh Tripathi, 2019, Front. Appl. Math. Stat..

B-cell lymphoma gene regulatory networks: biological consistency among inference methods

Matthias Dehmer, Frank Emmert-Streib, Ricardo de Matos Simoes, 2013, Front. Genet..

sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2017, BMC Bioinformatics.

A case study of cracks in the scientific enterprise: Response to the comments

MATTHIAS DEHMER, ABBE MOWSHOWITZ, M. Dehmer, 2016, Complex..

Interrelations of Graph Distance Measures Based on Topological Indices

Yongtang Shi, Matthias Dehmer, Frank Emmert-Streib, 2014, PloS one.

A computational approach to construct a multivariate complete graph invariant

Matthias Dehmer, Frank Emmert-Streib, Martin Grabner, 2014, Inf. Sci..

A network-based feature selection approach to identify metabolic signatures in disease.

Christian Baumgartner, Matthias Dehmer, Karl G Kugler, 2012, Journal of theoretical biology.

Structural Discrimination of Networks by Using Distance, Degree and Eigenvalue-Based Measures

Matthias Dehmer, Boris Furtula, Martin Grabner, 2012, PloS one.

Analysis of the real number of infected people by COVID-19: A system dynamics approach

M. Dehmer, F. Emmert-Streib, Bo Zhang, 2021, PloS one.

Applied Mathematics and Computation

Tae H. Lee, Bharti, T. Stützle, 2020 .

Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data

M. Dehmer, Wei Chen, Rui Gao, 2020, BMC genomics.

Big Complex Biomedical Data: Towards a Taxonomy of Data

Andreas Holzinger, Matthias Dehmer, Christof Stocker, 2012, ICETE.

Comparison of Text Mining Models for Food and Dietary Constituent Named-Entity Recognition

M. Dehmer, F. Emmert-Streib, Nadeesha Perera, 2022, Mach. Learn. Knowl. Extr..

A comparative analysis of multidimensional features of objects resembling sets of graphs

Tanja Gesell, Matthias Dehmer, Frank Emmert-Streib, 2008, Appl. Math. Comput..

Combining deep learning with token selection for patient phenotyping from electronic health records

Zhen Yang, Matthias Dehmer, Olli Yli-Harja, 2020, Scientific Reports.

Lessons from the human genome project Citation

M. Dehmer, O. Yli-Harja, F. Emmert-Streib, 2018 .

Interfacing cellular networks of S. cerevisiae and E. coli: Connecting dynamic and genetic information

M. Dehmer, F. Emmert-Streib, Ricardo de Matos Simoes, 2013, BMC Genomics.

Robustness In Scale-Free Networks: Comparing Directed And Undirected Networks

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2008 .

A comparative analysis of the Tanimoto index and graph edit distance for measuring the topological similarity of trees

Matthias Dehmer, Kurt Varmuza, K. Varmuza, 2015, Appl. Math. Comput..

Web corpus mining by instance of Wikipedia

Alexander Mehler, Matthias Dehmer, Rüdiger Gleim, 2006 .

Towards Structure-sensitive Hypertext Categorization

Alexander Mehler, Matthias Dehmer, Rüdiger Gleim, 2005, GfKl.

Matthias Dehmer, Frank Emmert-Streib, Jürgen Kilian, 2006, Appl. Math. Comput..

Advances in network complexity

Matthias Dehmer, Abbe Mowshowitz, Frank Emmert-Streib, 2013 .

samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files

Matthias Dehmer, Frank Emmert-Streib, Galina V. Glazko, 2016, Bioinform..

NetBioV: an R package for visualizing large network data in biology and medicine

M. Dehmer, F. Emmert-Streib, S. Tripathi, 2014, Bioinform..

Structural Measures for Network Biology Using QuACN

Matthias Dehmer, Frank Emmert-Streib, Laurin A. J. Mueller, 2011, BMC Bioinformatics.

Hierarchical coordination of periodic genes in the cell cycle of Saccharomyces cerevisiae

M. Dehmer, F. Emmert-Streib, 2009, BMC Systems Biology.

Information processing in the transcriptional regulatory network of yeast: Functional robustness

M. Dehmer, F. Emmert-Streib, 2009, BMC Systems Biology.

Towards a Partitioning of the Input Space of Boolean Networks: Variable Selection Using Bagging

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2009, Complex.

Towards a Channel Capacity of Communication Networks

F. Emmert-Streib, M. Dehmer, M. Dehmer, 2008, 2008 First International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems. Medical Applications of the Complex Systems. Biomedical Computing.

Analysis of Microarray Data

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2008 .

Interfacing cellular networks of S. cerevisiae and E. coli: Connecting dynamic and genetic

M. Dehmer, F. Emmert-Streib, 2013 .

Theoretical Bounds for the Number of Inferable Edges in Sparse Random Networks

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2006, BIOCOMP.

On Sphere-Regular Graphs and the Extremality of Information-Theoretic Network Measures

Matthias Dehmer, Veronika Kraus, M. Dehmer, 2013 .

Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status

Matthias Dehmer, Frank Emmert-Streib, Olli Yli-Harja, 2020, Frontiers in Artificial Intelligence.

Measuring the complexity of directed graphs: A polynomial-based approach

Jin Tao, Zengqiang Chen, Abbe Mowshowitz, 2019, PloS one.

Quantitative Graph Theory: A new branch of graph theory and network science

M. Dehmer, F. Emmert-Streib, Yongtang Shi, 2017, Inf. Sci..

A comparative analysis of new graph distance measures and graph edit distance

Tao Li, Yongtang Shi, Matthias Dehmer, 2017, Inf. Sci..

A calculus for measuring the elegance of abstract graphs

Matthias Dehmer, Abbe Mowshowitz, M. Dehmer, 2018, Appl. Math. Comput..

A NOVEL METHOD FOR MEASURING THE STRUCTURAL INFORMATION CONTENT OF NETWORKS

Matthias Dehmer, M. Dehmer, 2008, Cybern. Syst..

Classification of Large Graphs by a Local Tree Decomposition

Matthias Dehmer, Frank Emmert-Streib, Jürgen Kilian, 2005, DMIN.

Learning Systems Biology: Conceptual Considerations toward a Web-Based Learning Platform

Fernando Lyardet, Matthias Dehmer, Frank Emmert-Streib, 2013 .

Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions

I. Jurisica, M. Dehmer, Andreas Holzinger, 2014, BMC Bioinformatics.

A Novel Majority Vote Count Algorithm for Integrative Analysis of Association Networks

Matthias Dehmer, Laurin A. J. Mueller, Armin Graber, 2010, International Conference on Bioinformatics & Computational Biology.

A SYMMETRY INDEX FOR GRAPHS

Matthias Dehmer, Abbe Mowshowitz, M. Dehmer, 2010 .

Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure

M. Dehmer, F. Emmert-Streib, S. Tripathi, 2023, IEEE Access.

Distributed Event-Triggered Circular Formation Control for Multiple Anonymous Mobile Robots With Order Preservation and Obstacle Avoidance

Jin Tao, Wenxiang Li, Matthias Dehmer, 2020, IEEE Access.

Global information processing in gene networks: Fault tolerance

Matthias Dehmer, Frank Emmert-Streib, M. Dehmer, 2007, 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems.

On quantitative Network Complexity Measures for Business Process Models

Erwin Aitenbichler, Stephan Borgert, Matthias Dehmer, 2009 .

Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM

Matthias Dehmer, Herbert Jodlbauer, Shailesh Tripathi, 2019, DATA.

Novel Inequalities for Generalized Graph Entropies Revisited, Graph Energies and Topological Indices

I. Gutman, M. Dehmer, Xueliang Li, 2014, 1411.6733.

Mathematical foundations and applications of graph entropy

Yongtang Shi, Matthias Dehmer, Frank Emmert-Streib, 2016 .

On the distance based graph entropies

Matthias Dehmer, Aleksandar Ilic, M. Dehmer, 2015, Appl. Math. Comput..

Orbit Entropy and Symmetry Index Revisited

Matthias Dehmer, Frank Emmert-Streib, Modjtaba Ghorbani, 2021, Mathematics.

On the Degeneracy of the Orbit Polynomial and Related Graph Polynomials

Matthias Dehmer, Frank Emmert-Streib, Modjtaba Ghorbani, 2020, Symmetry.

Analysis of the Graovac-Pisanski Index of Some Polyhedral Graphs Based on Their Symmetry Group

Matthias Dehmer, Modjtaba Ghorbani, Mardjan Hakimi-Nezhaad, 2020, Symmetry.

Comparing Biological Networks: A Survey on Graph Classifying Techniques

Matthias Dehmer, Frank Emmert-Streib, Laurin A. J. Mueller, 2013 .

Influence of Prior Information on the Reconstruction of the Yeast Cell Cycle from Microarray Data

Matthias Dehmer, Frank Emmert-Streib, Chris Seidel, 2006, BIOCOMP.

Advances in Mathematical Chemistry and Applications Volume 1 (Revised Edition)

Adalbert Kerber, Reinhard Laue, Danail Bonchev, 2015 .

A Fall Posture Classification and Recognition Method Based on Wavelet Packet Transform and Support Vector Machine

Qinglin Sun, Matthias Dehmer, Qingyun Zhang, 2021, Applied Sciences.

An efficient heuristic approach to detecting graph isomorphism based on combinations of highly discriminating invariants

M. Dehmer, F. Emmert-Streib, A. Mowshowitz, 2013, Adv. Comput. Math..

Causality: Using Math to Understand the Science of Cause and Effect

M. Dehmer, F. Emmert-Streib, 2023, Frontiers for Young Minds.

On efficient network similarity measures

Yongtang Shi, Matthias Dehmer, Abbe Mowshowitz, 2019, Appl. Math. Comput..

Prostate Cancer Gene Regulatory Network Inferred from RNA-Seq Data

M. Dehmer, F. Emmert-Streib, R. D. Simoes, 2019, Current genomics.

Analysis of Webspaces of the Siberian Branch of the Russian Academy of Sciences and the Fraunhofer-Gesellschaft

Matthias Dehmer, Andrey A. Dobrynin, Yuri I. Shokin, 2018 .

Partition and Colored Distances in Graphs Induced to Subsets of Vertices and Some of Its Applications

Matthias Dehmer, Frank Emmert-Streib, Mahsa Mirzargar, 2020, Symmetry.