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Matthias Dehmer
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2020 – today
- 2025
- [j150]Herbert Jodlbauer
, Matthias Dehmer, Frank Emmert-Streib
:
Aspects on the optimal decoupling point setting problem. Appl. Math. Comput. 496: 129343 (2025) - [j149]Modjtaba Ghorbani
, Zahra Vaziri, Matthias Dehmer:
Complexity measures in trees: a comparative investigation of Szeged and Wiener indices. Comput. Appl. Math. 44(4): 195 (2025) - 2024
- [j148]Modjtaba Ghorbani
, Razie Alidehi-Ravandi
, Matthias Dehmer
:
Fullerenes via their counting polynomials. Appl. Math. Comput. 466: 128431 (2024) - [j147]Modjtaba Ghorbani
, Razie Alidehi-Ravandi, Matthias Dehmer
:
Automorphism Groups in Polyhedral Graphs. Symmetry 16(9): 1157 (2024) - [j146]Frank Emmert-Streib
, Shailesh Tripathi
, Matthias Dehmer
:
Human Team Behavior and Predictability in the Massively Multiplayer Online Game WOT Blitz. ACM Trans. Web 18(1): 5:1-5:27 (2024) - 2023
- [j145]Frank Emmert-Streib
, Shailesh Tripathi
, Matthias Dehmer:
Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure. IEEE Access 11: 69649-69666 (2023) - [j144]Jiansheng Cai, Wenwen Li, Wenjing Cai, Matthias Dehmer:
List injective coloring of planar graphs. Appl. Math. Comput. 439: 127631 (2023) - [j143]Simon Brezovnik
, Matthias Dehmer, Niko Tratnik
, Petra Zigert Pletersek
:
Szeged and Mostar root-indices of graphs. Appl. Math. Comput. 442: 127736 (2023) - [j142]Abdullah Lotfi, Abbe Mowshowitz
, Matthias Dehmer
:
A Note on Eigenvalues and Asymmetric Graphs. Axioms 12(6): 510 (2023) - 2022
- [j141]Matthias Dehmer, Frank Emmert-Streib
, Niko Tratnik
, Petra Zigert Pletersek
:
Szeged-like entropies of graphs. Appl. Math. Comput. 431: 127325 (2022) - [j140]Modjtaba Ghorbani
, Mardjan Hakimi-Nezhaad, Matthias Dehmer:
Novel results on partial hosoya polynomials: An application in chemistry. Appl. Math. Comput. 433: 127379 (2022) - [j139]Hong Zhu, Qinglin Sun, Jin Tao, Zengqiang Chen, Matthias Dehmer, Guangming Xie:
Flexible modeling of parafoil delivery system in wind environments. Commun. Nonlinear Sci. Numer. Simul. 108: 106210 (2022) - [j138]Andreas Holzinger
, Matthias Dehmer, Frank Emmert-Streib
, Rita Cucchiara, Isabelle Augenstein
, Javier Del Ser, Wojciech Samek
, Igor Jurisica
, Natalia Díaz Rodríguez
:
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. Inf. Fusion 79: 263-278 (2022) - [j137]Samar Bashath, Nadeesha Perera
, Shailesh Tripathi, Kalifa Manjang, Matthias Dehmer, Frank Emmert-Streib
:
A data-centric review of deep transfer learning with applications to text data. Inf. Sci. 585: 498-528 (2022) - [j136]Yuede Ma, Matthias Dehmer, Urs-Martin Künzi, Shailesh Tripathi, Modjtaba Ghorbani
, Jin Tao, Frank Emmert-Streib
:
The usefulness of topological indices. Inf. Sci. 606: 143-151 (2022) - [j135]Nadeesha Perera
, Thi Thuy Linh Nguyen, Matthias Dehmer
, Frank Emmert-Streib
:
Comparison of Text Mining Models for Food and Dietary Constituent Named-Entity Recognition. Mach. Learn. Knowl. Extr. 4(1): 254-275 (2022) - [j134]Yuemin Zheng
, Zhaoyang Huang, Jin Tao
, Hao Sun
, Qinglin Sun
, Mingwei Sun
, Matthias Dehmer
, Zengqiang Chen
:
A Novel Chaotic Fractional-Order Beetle Swarm Optimization Algorithm and Its Application for Load-Frequency Active Disturbance Rejection Control. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1267-1271 (2022) - [j133]Frank Emmert-Streib
, Matthias Dehmer:
Taxonomy of machine learning paradigms: A data-centric perspective. WIREs Data Mining Knowl. Discov. 12(5) (2022) - 2021
- [j132]Hong Zhu, Qinglin Sun
, Jin Tao
, Pan-Long Tan
, Zengqiang Chen
, Matthias Dehmer
, Guangming Xie
:
Fluid-Structure Interaction Simulation and Accurate Dynamic Modeling of Parachute Warhead System Based on Impact Point Prediction. IEEE Access 9: 104418-104428 (2021) - [j131]Yuemin Zheng
, Zhaoyang Huang, Jin Tao
, Hao Sun, Qinglin Sun
, Matthias Dehmer
, Mingwei Sun
, Zengqiang Chen
:
Power System Load Frequency Active Disturbance Rejection Control via Reinforcement Learning-Based Memetic Particle Swarm Optimization. IEEE Access 9: 116194-116206 (2021) - [j130]Yajing Zhou
, Yuemin Zheng
, Jin Tao
, Mingwei Sun
, Qinglin Sun
, Matthias Dehmer
, Zengqiang Chen
:
Servo Health Monitoring Based on Feature Learning via Deep Neural Network. IEEE Access 9: 160887-160896 (2021) - [j129]Sheyda Maddah, Modjtaba Ghorbani
, Matthias Dehmer:
New results of identifying codes in product graphs. Appl. Math. Comput. 410: 126438 (2021) - [j128]Aleksandar Ilic, Modjtaba Ghorbani
, Seyran Azizi, Matthias Dehmer:
On conjectures of network distance measures by using graph spectra. Discret. Appl. Math. 302: 248-255 (2021) - [j127]Frank Emmert-Streib
, Matthias Dehmer:
Data-Driven Computational Social Network Science: Predictive and Inferential Models for Web-Enabled Scientific Discoveries. Frontiers Big Data 4: 591749 (2021) - [j126]Shailesh Tripathi, David Muhr, Manuel Brunner, Herbert Jodlbauer, Matthias Dehmer, Frank Emmert-Streib
:
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing. Frontiers Artif. Intell. 4: 576892 (2021) - [j125]Modjtaba Ghorbani
, Matthias Dehmer, Abdullah Lotfi, Najaf Amraei
, Abbe Mowshowitz, Frank Emmert-Streib
:
On the relationship between PageRank and automorphisms of a graph. Inf. Sci. 579: 401-417 (2021) - [j124]Yuede Ma, Matthias Dehmer, Urs-Martin Künzi, Abbe Mowshowitz, Shailesh Tripathi, Modjtaba Ghorbani
, Frank Emmert-Streib
:
Relationships between symmetry-based graph measures. Inf. Sci. 581: 291-303 (2021) - [j123]Tao Cheng, Matthias Dehmer
, Frank Emmert-Streib
, Yongtao Li, Weijun Liu:
Properties of Commuting Graphs over Semidihedral Groups. Symmetry 13(1): 103 (2021) - [j122]Modjtaba Ghorbani
, Maryam Jalali-Rad
, Matthias Dehmer
:
Orbit Polynomial of Graphs versus Polynomial with Integer Coefficients. Symmetry 13(4): 710 (2021) - [j121]Modjtaba Ghorbani
, Matthias Dehmer
:
Network Analyzing by the Aid of Orbit Polynomial. Symmetry 13(5): 801 (2021) - [j120]Modjtaba Ghorbani
, Matthias Dehmer
:
On the Roots of the Modified Orbit Polynomial of a Graph. Symmetry 13(6): 972 (2021) - 2020
- [j119]Matthias Dehmer
, Zengqiang Chen
, Frank Emmert-Streib
, Abbe Mowshowitz
, Kurt Varmuza
, Lihua Feng
, Herbert Jodlbauer
, Yongtang Shi
, Jin Tao
:
The Orbit-Polynomial: A Novel Measure of Symmetry in Networks. IEEE Access 8: 36100-36112 (2020) - [j118]Peng Xu
, Wenxiang Li
, Jin Tao
, Matthias Dehmer
, Frank Emmert-Streib
, Guangming Xie
, Minyi Xu
, Quan Zhou
:
Distributed Event-Triggered Circular Formation Control for Multiple Anonymous Mobile Robots With Order Preservation and Obstacle Avoidance. IEEE Access 8: 167288-167299 (2020) - [j117]Matthias Dehmer
, Frank Emmert-Streib
, Abbe Mowshowitz, Aleksandar Ilic, Zengqiang Chen, Guihai Yu, Lihua Feng, Modjtaba Ghorbani
, Kurt Varmuza, Jin Tao:
Relations and bounds for the zeros of graph polynomials using vertex orbits. Appl. Math. Comput. 380: 125239 (2020) - [j116]Modjtaba Ghorbani
, Matthias Dehmer, Hamidreza Maimani, Sheyda Maddah, Maryam Roozbayani, Frank Emmert-Streib
:
The watching system as a generalization of identifying code. Appl. Math. Comput. 380: 125302 (2020) - [j115]Qian Yin, Zhishuang Wang, Chengyi Xia
, Matthias Dehmer, Frank Emmert-Streib
, Zhen Jin
:
A novel epidemic model considering demographics and intercity commuting on complex dynamical networks. Appl. Math. Comput. 386: 125517 (2020) - [j114]Herbert Jodlbauer
, Matthias Dehmer:
An extension of the reorder point method by using advance demand spike information. Comput. Oper. Res. 124: 105055 (2020) - [j113]Frank Emmert-Streib
, Zhen Yang
, Han Feng, Shailesh Tripathi, Matthias Dehmer:
An Introductory Review of Deep Learning for Prediction Models With Big Data. Frontiers Artif. Intell. 3: 4 (2020) - [j112]Frank Emmert-Streib
, Olli Yli-Harja, Matthias Dehmer:
Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status. Frontiers Artif. Intell. 3: 524339 (2020) - [j111]Pengfei Wan
, Xinzhuang Chen, Jianhua Tu
, Matthias Dehmer, Shenggui Zhang, Frank Emmert-Streib
:
On graph entropy measures based on the number of independent sets and matchings. Inf. Sci. 516: 491-504 (2020) - [j110]Modjtaba Ghorbani
, Matthias Dehmer, Shujuan Cao, Lihua Feng, Jin Tao
, Frank Emmert-Streib
:
On the zeros of the partial Hosoya polynomial of graphs. Inf. Sci. 524: 199-215 (2020) - [j109]Modjtaba Ghorbani
, Matthias Dehmer, Shaghayegh Rahmani, Mina Rajabi-Parsa:
A Survey on Symmetry Group of Polyhedral Graphs. Symmetry 12(3): 370 (2020) - [j108]Modjtaba Ghorbani
, Mardjan Hakimi-Nezhaad
, Matthias Dehmer
, Xueliang Li:
Analysis of the Graovac-Pisanski Index of Some Polyhedral Graphs Based on Their Symmetry Group. Symmetry 12(9): 1411 (2020) - [j107]Hamidreza Azemati, Fatemeh Jam
, Modjtaba Ghorbani
, Matthias Dehmer, Reza Ebrahimpour, Abdolhamid Ghanbaran, Frank Emmert-Streib
:
The Role of Symmetry in the Aesthetics of Residential Building Façades Using Cognitive Science Methods. Symmetry 12(9): 1438 (2020) - [j106]Weijun Liu, Jingwen Ban, Lihua Feng, Tao Cheng, Frank Emmert-Streib, Matthias Dehmer:
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 12(9): 1496 (2020) - [j105]Modjtaba Ghorbani
, Matthias Dehmer
, Frank Emmert-Streib
:
On the Degeneracy of the Orbit Polynomial and Related Graph Polynomials. Symmetry 12(10): 1643 (2020) - [j104]Mohammad Javad Nadjafi-Arani
, Mahsa Mirzargar, Frank Emmert-Streib
, Matthias Dehmer:
Partition and Colored Distances in Graphs Induced to Subsets of Vertices and Some of Its Applications. Symmetry 12(12): 2027 (2020) - [j103]Frank Emmert-Streib
, Olli Yli-Harja, Matthias Dehmer:
Explainable artificial intelligence and machine learning: A reality rooted perspective. WIREs Data Mining Knowl. Discov. 10(6) (2020) - [i5]Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer:
Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective. CoRR abs/2001.09464 (2020) - [i4]Shailesh Tripathi, David Muhr, Manuel Brunner, Frank Emmert-Streib, Herbert Jodlbauer, Matthias Dehmer:
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing. CoRR abs/2007.14791 (2020) - [i3]Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer:
A clarification of misconceptions, myths and desired status of artificial intelligence. CoRR abs/2008.05607 (2020)
2010 – 2019
- 2019
- [j102]Jin Tao
, Matthias Dehmer, Guangming Xie, Quan Zhou
:
A Generalized Predictive Control-Based Path Following Method for Parafoil Systems in Wind Environments. IEEE Access 7: 42586-42595 (2019) - [j101]Yuede Ma, Shujuan Cao, Yongtang Shi
, Matthias Dehmer, Chengyi Xia
:
Nordhaus-Gaddum type results for graph irregularities. Appl. Math. Comput. 343: 268-272 (2019) - [j100]Modjtaba Ghorbani
, Matthias Dehmer, Mina Rajabi-Parsa, Frank Emmert-Streib
, Abbe Mowshowitz:
Hosoya entropy of fullerene graphs. Appl. Math. Comput. 352: 88-98 (2019) - [j99]Matthias Dehmer, Zengqiang Chen
, Yongtang Shi
, Yusen Zhang
, Shailesh Tripathi, Modjtaba Ghorbani
, Abbe Mowshowitz, Frank Emmert-Streib
:
On efficient network similarity measures. Appl. Math. Comput. 362 (2019) - [j98]Pengfei Wan
, Jianhua Tu
, Matthias Dehmer, Shenggui Zhang, Frank Emmert-Streib
:
Graph entropy based on the number of spanning forests of c-cyclic graphs. Appl. Math. Comput. 363 (2019) - [j97]Modjtaba Ghorbani
, Matthias Dehmer, Vahid Taghvayi-Yazdelli, Frank Emmert-Streib
:
A Graph Theoretic Approach to Construct Desired Cryptographic Boolean Functions. Axioms 8(2): 40 (2019) - [j96]Modjtaba Ghorbani
, Matthias Dehmer, Samaneh Zangi, Abbe Mowshowitz
, Frank Emmert-Streib
:
A Note on Distance-Based Entropy of Dendrimers. Axioms 8(3): 98 (2019) - [j95]Matthias Dehmer, Stefan Pickl, Yongtang Shi, Guihai Yu:
New inequalities for network distance measures by using graph spectra. Discret. Appl. Math. 252: 17-27 (2019) - [j94]Modjtaba Ghorbani
, Matthias Dehmer, Mina Rajabi-Parsa, Abbe Mowshowitz
, Frank Emmert-Streib
:
On Properties of Distance-Based Entropies on Fullerene Graphs. Entropy 21(5): 482 (2019) - [j93]Abbe Mowshowitz
, Matthias Dehmer, Frank Emmert-Streib
:
A Note on Graphs with Prescribed Orbit Structure. Entropy 21(11): 1118 (2019) - [j92]Frank Emmert-Streib, Shailesh Tripathi, Matthias Dehmer:
Constrained Covariance Matrices With a Biologically Realistic Structure: Comparison of Methods for Generating High-Dimensional Gaussian Graphical Models. Frontiers Appl. Math. Stat. 5: 17 (2019) - [j91]Matthias Dehmer, Zengqiang Chen, Frank Emmert-Streib
, Abbe Mowshowitz, Yongtang Shi, Shailesh Tripathi, Yusen Zhang
:
Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach. Inf. Sci. 471: 19-28 (2019) - [j90]Chengyi Xia
, Zhishuang Wang, Chunyuan Zheng, Quantong Guo, Yongtang Shi, Matthias Dehmer, Zengqiang Chen:
A new coupled disease-awareness spreading model with mass media on multiplex networks. Inf. Sci. 471: 185-200 (2019) - [j89]Guihai Yu, Matthias Dehmer, Frank Emmert-Streib
, Herbert Jodlbauer
:
Hermitian normalized Laplacian matrix for directed networks. Inf. Sci. 495: 175-184 (2019) - [j88]Matthias Dehmer, Zengqiang Chen
, Abbe Mowshowitz, Herbert Jodlbauer
, Frank Emmert-Streib
, Yongtang Shi
, Shailesh Tripathi, Chengyi Xia
:
On the degeneracy of the Randić entropy and related graph measures. Inf. Sci. 501: 680-687 (2019) - [j87]Frank Emmert-Streib
, Matthias Dehmer:
Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations? Mach. Learn. Knowl. Extr. 1(1): 138-148 (2019) - [j86]Frank Emmert-Streib
, Matthias Dehmer:
A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition. Mach. Learn. Knowl. Extr. 1(1): 149-156 (2019) - [j85]Aliyu Musa
, Matthias Dehmer, Olli Yli-Harja, Frank Emmert-Streib
:
Exploiting Genomic Relations in Big Data Repositories by Graph-Based Search Methods. Mach. Learn. Knowl. Extr. 1(1): 205-210 (2019) - [j84]Frank Emmert-Streib
, Matthias Dehmer:
Defining Data Science by a Data-Driven Quantification of the Community. Mach. Learn. Knowl. Extr. 1(1): 235-251 (2019) - [j83]Frank Emmert-Streib
, Matthias Dehmer:
High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection. Mach. Learn. Knowl. Extr. 1(1): 359-383 (2019) - [j82]Frank Emmert-Streib
, Matthias Dehmer:
Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error. Mach. Learn. Knowl. Extr. 1(1): 521-551 (2019) - [j81]Frank Emmert-Streib
, Matthias Dehmer:
Large-Scale Simultaneous Inference with Hypothesis Testing: Multiple Testing Procedures in Practice. Mach. Learn. Knowl. Extr. 1(2): 653-683 (2019) - [j80]Frank Emmert-Streib
, Matthias Dehmer:
Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference. Mach. Learn. Knowl. Extr. 1(3): 945-961 (2019) - [j79]Frank Emmert-Streib
, Matthias Dehmer:
Introduction to Survival Analysis in Practice. Mach. Learn. Knowl. Extr. 1(3): 1013-1038 (2019) - [j78]Modjtaba Ghorbani
, Matthias Dehmer, Abbe Mowshowitz
, Jin Tao
, Frank Emmert-Streib
:
The Hosoya Entropy of Graphs Revisited. Symmetry 11(8): 1013 (2019) - [j77]Weijun Liu, Jingwen Ban, Lihua Feng, Tao Cheng, Frank Emmert-Streib
, Matthias Dehmer:
The Maximum Hosoya Index of Unicyclic Graphs with Diameter at Most Four. Symmetry 11(8): 1034 (2019) - [j76]Frank Emmert-Streib
, Salissou Moutari
, Matthias Dehmer:
A comprehensive survey of error measures for evaluating binary decision making in data science. WIREs Data Mining Knowl. Discov. 9(5) (2019) - [c24]Shailesh Tripathi, Sonja Strasser
, Christian Mittermayr, Matthias Dehmer, Herbert Jodlbauer:
Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM. DATA 2019: 233-242 - 2018
- [j75]Abbe Mowshowitz, Matthias Dehmer:
A calculus for measuring the elegance of abstract graphs. Appl. Math. Comput. 320: 142-148 (2018) - [j74]Modjtaba Ghorbani
, Matthias Dehmer, Samaneh Zangi:
Graph operations based on using distance-based graph entropies. Appl. Math. Comput. 333: 547-555 (2018) - [j73]Herbert Jodlbauer
, Matthias Dehmer, Sonja Strasser
:
A hybrid binomial inverse hypergeometric probability distribution: Theory and applications. Appl. Math. Comput. 338: 44-54 (2018) - [j72]Aliyu Musa
, Laleh Soltan Ghoraie, Shu-Dong Zhang, Galina V. Glazko, Olli Yli-Harja, Matthias Dehmer, Benjamin Haibe-Kains
, Frank Emmert-Streib
:
A review of connectivity map and computational approaches in pharmacogenomics. Briefings Bioinform. 19(3): 506-523 (2018) - [j71]Shenghui Liu, Chunrui Xu, Yusen Zhang
, Jiaguo Liu, Bin Yu
, Xiaoping Liu
, Matthias Dehmer:
Feature selection of gene expression data for Cancer classification using double RBF-kernels. BMC Bioinform. 19(1): 396:1-396:14 (2018) - [j70]Frank Emmert-Streib, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer:
Understanding the World Economy in Terms of Networks: A Survey of Data-Based Network Science Approaches on Economic Networks. Frontiers Appl. Math. Stat. 4: 37 (2018) - [j69]Frank Emmert-Streib, Olli P. Yli-Harja, Matthias Dehmer:
Data Analytics Applications for Streaming Data From Social Media: What to Predict? Frontiers Big Data 1: 2 (2018) - [j68]Matthias Dehmer, Zengqiang Chen, Frank Emmert-Streib
, Yongtang Shi, Shailesh Tripathi:
Graph measures with high discrimination power revisited: A random polynomial approach. Inf. Sci. 467: 407-414 (2018) - [j67]Chunyuan Zheng, Chengyi Xia
, Quantong Guo, Matthias Dehmer:
Interplay between SIR-based disease spreading and awareness diffusion on multiplex networks. J. Parallel Distributed Comput. 115: 20-28 (2018) - [j66]László Barna Iantovics
, Matthias Dehmer, Frank Emmert-Streib
:
MetrIntSimil - An Accurate and Robust Metric for Comparison of Similarity in Intelligence of Any Number of Cooperative Multiagent Systems. Symmetry 10(2): 48 (2018) - 2017
- [j65]Shujuan Cao, Matthias Dehmer, Zhe Kang:
Network Entropies Based on Independent Sets and Matchings. Appl. Math. Comput. 307: 265-270 (2017) - [j64]Guihai Yu, Hui Qu, Matthias Dehmer:
Principal minor version of Matrix-Tree theorem for mixed graphs. Appl. Math. Comput. 309: 27-30 (2017) - [j63]Zengqiang Chen, Matthias Dehmer, Frank Emmert-Streib
, Abbe Mowshowitz
, Yongtang Shi:
Toward Measuring Network Aesthetics Based on Symmetry. Axioms 6(2): 12 (2017) - [j62]Aliyu Musa
, Laleh Soltan Ghoraie, Shu-Dong Zhang, Galina V. Glazko, Olli Yli-Harja, Matthias Dehmer, Benjamin Haibe-Kains
, Frank Emmert-Streib
:
A review of connectivity map and computational approaches in pharmacogenomics. Briefings Bioinform. 18(5): 903 (2017) - [j61]Shailesh Tripathi, Jason Lloyd-Price, Andre S. Ribeiro
, Olli Yli-Harja, Matthias Dehmer, Frank Emmert-Streib
:
sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters. BMC Bioinform. 18(1): 325 (2017) - [j60]Tao Li, Han Dong, Yongtang Shi, Matthias Dehmer:
A comparative analysis of new graph distance measures and graph edit distance. Inf. Sci. 403: 15-21 (2017) - [j59]Matthias Dehmer, Frank Emmert-Streib
, Bo Hu, Yongtang Shi, Monica Stefu, Shailesh Tripathi:
Highly unique network descriptors based on the roots of the permanental polynomial. Inf. Sci. 408: 176-181 (2017) - [j58]Matthias Dehmer, Frank Emmert-Streib
, Yongtang Shi:
Quantitative Graph Theory: A new branch of graph theory and network science. Inf. Sci. 418: 575-580 (2017) - [j57]Chunrui Xu, Li Ge, Yusen Zhang
, Matthias Dehmer, Ivan Gutman:
Computational prediction of therapeutic peptides based on graph index. J. Biomed. Informatics 75: 63-69 (2017) - [i2]Matthias Dehmer, Frank Emmert-Streib, Yongtang Shi:
Quantitative Graph Theory: A new branch of graph theory and in network science. CoRR abs/1710.05660 (2017) - 2016
- [j56]Kinkar Chandra Das, Matthias Dehmer:
Comparison between the zeroth-order Randić index and the sum-connectivity index. Appl. Math. Comput. 274: 585-589 (2016) - [j55]Alexey Stupnikov
, Shailesh Tripathi, Ricardo de Matos Simoes
, Darragh G. McArt
, Manuel Salto-Tellez
, Galina V. Glazko, Matthias Dehmer, Frank Emmert-Streib
:
samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files. Bioinform. 32(21): 3345-3347 (2016) - [j54]Shailesh Tripathi, Salissou Moutari
, Matthias Dehmer, Frank Emmert-Streib
:
Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules. BMC Bioinform. 17: 129 (2016) - [j53]Matthias Dehmer, Abbe Mowshowitz:
A case study of cracks in the scientific enterprise: Reinvention of information-theoretic measures for graphs. Complex. 21(S1): 10-14 (2016) - [j52]Matthias Dehmer, Abbe Mowshowitz:
A case study of cracks in the scientific enterprise: Response to the comments. Complex. 21(S1): 20-22 (2016) - [j51]Matthias Dehmer, Yongtang Shi:
A method for inferring inequalities for probability values applied to complex networks. Complex. 21(S1): 113-115 (2016) - [j50]Kinkar Chandra Das, Matthias Dehmer:
A Conjecture Regarding the Extremal Values of Graph Entropy Based on Degree Powers. Entropy 18(5): 183 (2016) - [j49]Frank Emmert-Streib
, Matthias Dehmer, Yongtang Shi:
Fifty years of graph matching, network alignment and network comparison. Inf. Sci. 346-347: 180-197 (2016) - [c23]Frederick J. Riggins, Samuel Fosso Wamba, Matthias Dehmer:
Introduction to Business Value of the Internet of Things Minitrack. HICSS 2016: 1122 - 2015
- [j48]Matthias Dehmer, Yongtang Shi, Abbe Mowshowitz:
Discrimination power of graph measures based on complex zeros of the partial Hosoya polynomial. Appl. Math. Comput. 250: 352-355 (2015) - [j47]Matthias Dehmer, Kurt Varmuza:
A comparative analysis of the Tanimoto index and graph edit distance for measuring the topological similarity of trees. Appl. Math. Comput. 259: 242-250 (2015) - [j46]Xueliang Li, Zhongmei Qin, Meiqin Wei, Ivan Gutman
, Matthias Dehmer:
Novel inequalities for generalized graph entropies - Graph energies and topological indices. Appl. Math. Comput. 259: 470-479 (2015) - [j45]Shujuan Cao, Matthias Dehmer:
Degree-based entropies of networks revisited. Appl. Math. Comput. 261: 141-147 (2015) - [j44]Zengqiang Chen, Matthias Dehmer, Yongtang Shi:
Bounds for degree-based network entropies. Appl. Math. Comput. 265: 983-993 (2015) - [j43]Matthias Dehmer, Frank Emmert-Streib
, Yongtang Shi:
Graph distance measures based on topological indices revisited. Appl. Math. Comput. 266: 623-633 (2015) - [j42]Matthias Dehmer, Miriana Moosbrugger, Yongtang Shi:
Encoding structural information uniquely with polynomial-based descriptors by employing the Randić matrix. Appl. Math. Comput. 268: 164-168 (2015) - [j41]Aleksandar Ilic, Matthias Dehmer:
On the distance based graph entropies. Appl. Math. Comput. 269: 647-650 (2015) - [j40]Matthias Dehmer, Xueliang Li, Yongtang Shi
:
Connections between generalized graph entropies and graph energy. Complex. 21(1): 35-41 (2015) - [j39]Abbe Mowshowitz
, Matthias Dehmer:
The Hosoya Entropy of a Graph. Entropy 17(3): 1054-1062 (2015) - [j38]Zengqiang Chen, Matthias Dehmer, Frank Emmert-Streib
, Yongtang Shi:
Entropy of Weighted Graphs with Randi'c Weights. Entropy 17(6): 3710-3723 (2015) - [c22]Frederick J. Riggins, Samuel Fosso Wamba
, Matthias Dehmer:
Introduction to the Internet of Things and Big Data Analytics Minitrack. HICSS 2015: 1512 - [c21]Marian Sorin Nistor
, Doina Bein, Wolfgang W. Bein, Matthias Dehmer, Stefan Pickl:
Time-Based Estimation of Vulnerable Points in the Munich Subway Network. OR 2015: 355-360 - 2014
- [j37]Zengqiang Chen, Matthias Dehmer, Frank Emmert-Streib
, Yongtang Shi
:
Entropy bounds for dendrimers. Appl. Math. Comput. 242: 462-472 (2014) - [j36]Shailesh Tripathi, Matthias Dehmer, Frank Emmert-Streib
:
NetBioV: an R package for visualizing large network data in biology and medicine. Bioinform. 30(19): 2834-2836 (2014) - [j35]Andreas Holzinger
, Matthias Dehmer, Igor Jurisica
:
Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions. BMC Bioinform. 15(S-6): I1 (2014) - [j34]Frank Emmert-Streib
, Ricardo de Matos Simoes
, Galina V. Glazko, Simon S. McDade
, Benjamin Haibe-Kains
, Andreas Holzinger
, Matthias Dehmer, Frederick Campbell
:
Functional and genetic analysis of the colon cancer network. BMC Bioinform. 15(S-6): S6 (2014) - [j33]Zengqiang Chen, Matthias Dehmer, Yongtang Shi:
A Note on Distance-based Graph Entropies. Entropy 16(10): 5416-5427 (2014) - [j32]Matthias Dehmer, Frank Emmert-Streib
, Martin Grabner:
A computational approach to construct a multivariate complete graph invariant. Inf. Sci. 260: 200-208 (2014) - [j31]Shujuan Cao, Matthias Dehmer, Yongtang Shi
:
Extremality of degree-based graph entropies. Inf. Sci. 278: 22-33 (2014) - [j30]Veronika Kraus, Matthias Dehmer, Frank Emmert-Streib
:
Probabilistic inequalities for evaluating structural network measures. Inf. Sci. 288: 220-245 (2014) - [c20]Michael Preuß, Matthias Dehmer, Stefan Pickl, Andreas Holzinger
:
On Terrain Coverage Optimization by Using a Network Approach for Universal Graph-Based Data Mining and Knowledge Discovery. Brain Informatics and Health 2014: 564-573 - [p2]Andreas Holzinger
, Bernhard Ofner, Matthias Dehmer:
Multi-touch Graph-Based Interaction for Knowledge Discovery on Mobile Devices: State-of-the-Art and Future Challenges. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics 2014: 241-254 - 2013
- [j29]Matthias Dehmer, Martin Grabner, Abbe Mowshowitz, Frank Emmert-Streib
:
An efficient heuristic approach to detecting graph isomorphism based on combinations of highly discriminating invariants. Adv. Comput. Math. 39(2): 311-325 (2013) - [j28]Boris Furtula
, Ivan Gutman
, Matthias Dehmer:
On structure-sensitivity of degree-based topological indices. Appl. Math. Comput. 219(17): 8973-8978 (2013) - [j27]Andreas Dander, Laurin A. J. Mueller, Ralf Gallasch, Stephan Pabinger
, Frank Emmert-Streib
, Armin Graber, Matthias Dehmer:
[COMMODE] a large-scale database of molecular descriptors using compounds from PubChem. Source Code Biol. Medicine 8: 22 (2013) - [c19]Andreas Holzinger
, Bernhard Ofner, Christof Stocker, André Calero Valdez
, Anne Kathrin Schaar, Martina Ziefle, Matthias Dehmer:
On Graph Entropy Measures for Knowledge Discovery from Publication Network Data. CD-ARES 2013: 354-362 - 2012
- [j26]Abbe Mowshowitz
, Matthias Dehmer:
Entropy and the Complexity of Graphs Revisited. Entropy 14(3): 559-570 (2012) - [j25]Martin Grabner, Kurt Varmuza, Matthias Dehmer:
RMol: A Toolset for Transforming SD/Molfile structure information into R Objects. Source Code Biol. Medicine 7: 12 (2012) - [c18]Andreas Holzinger
, Christof Stocker, Matthias Dehmer:
Big Complex Biomedical Data: Towards a Taxonomy of Data. ICETE (Selected Papers) 2012: 3-18 - [i1]Lavanya Sivakumar, Matthias Dehmer:
Information inequalities and Generalized Graph Entropies. CoRR abs/1202.5685 (2012) - 2011
- [j24]Matthias Dehmer, Abbe Mowshowitz:
Bounds on the moduli of polynomial zeros. Appl. Math. Comput. 218(8): 4128-4137 (2011) - [j23]Laurin A. J. Mueller, Karl G. Kugler, Andreas Dander, Armin Graber, Matthias Dehmer:
QuACN: an R package for analyzing complex biological networks quantitatively. Bioinform. 27(1): 140-141 (2011) - [j22]Laurin A. J. Mueller, Karl G. Kugler, Armin Graber, Frank Emmert-Streib
, Matthias Dehmer:
Structural Measures for Network Biology Using QuACN. BMC Bioinform. 12: 492 (2011) - [j21]Mircea V. Diudea
, Aleksandar Ilic, Kurt Varmuza, Matthias Dehmer:
Network analysis using a novel highly discriminating topological index. Complex. 16(6): 32-39 (2011) - [j20]Matthias Dehmer, Abbe Mowshowitz:
Generalized graph entropies. Complex. 17(2): 45-50 (2011) - [j19]Matthias Dehmer, Abbe Mowshowitz:
A history of graph entropy measures. Inf. Sci. 181(1): 57-78 (2011) - [j18]Matthias Dehmer:
Information Theory of Networks. Symmetry 3(4): 767-779 (2011) - [p1]Matthias Dehmer, Frank Emmert-Streib
:
Mining Graph Patterns in Web-based Systems: A Conceptual View. Genres on the Web 2011: 237-253 - [e4]Matthias Dehmer, Frank Emmert-Streib, Alexander Mehler:
Towards an Information Theory of Complex Networks - Statistical Methods and Applications. Birkhäuser 2011, ISBN 978-0-8176-4903-6 [contents] - [e3]Matthias Dehmer:
Structural Analysis of Complex Networks. Birkhäuser / Springer 2011, ISBN 978-0-8176-4788-9 [contents] - 2010
- [j17]Matthias Dehmer, Abbe Mowshowitz:
Inequalities for entropy-based measures of network information content. Appl. Math. Comput. 215(12): 4263-4271 (2010) - [j16]Frank Emmert-Streib
, Matthias Dehmer:
Identifying critical financial networks of the DJIA: Toward a network-based index. Complex. 16(1): 24-33 (2010) - [c17]Laurin A. J. Mueller, Karl G. Kugler, Andreas Dander, Christian Baumgartner, Armin Graber, Matthias Dehmer:
A Network-based Approach to Classify Disease Stages of Prostate Cancer Using Quantitative Network Measures. BIOCOMP 2010: 55-61 - [c16]Karl G. Kugler, Laurin A. J. Mueller, Ralf Gallasch, Armin Graber, Matthias Dehmer:
A Novel Majority Vote Count Algorithm for Integrative Analysis of Association Networks. BIOCOMP 2010: 62-67
2000 – 2009
- 2009
- [j15]Frank Emmert-Streib
, Matthias Dehmer:
Information processing in the transcriptional regulatory network of yeast: Functional robustness. BMC Syst. Biol. 3: 35 (2009) - [j14]Frank Emmert-Streib
, Matthias Dehmer:
Hierarchical coordination of periodic genes in the cell cycle of Saccharomyces cerevisiae. BMC Syst. Biol. 3: 76 (2009) - [j13]Matthias Dehmer, Stephan Borgert:
Characterizing Classes of Structured Objects by Means of Information Inequalities. Cybern. Syst. 40(3): 249-258 (2009) - [j12]Matthias Dehmer, Kurt Varmuza, Stephan Borgert, Frank Emmert-Streib
:
On Entropy-Based Molecular Descriptors: Statistical Analysis of Real and Synthetic Chemical Structures. J. Chem. Inf. Model. 49(7): 1655-1663 (2009) - [c15]Frank Emmert-Streib
, Matthias Dehmer:
Organizational Structure of the Transcriptional Regulatory Network of Yeast: Periodic Genes. Complex (1) 2009: 140-148 - [c14]Matthias Dehmer, Frank Emmert-Streib
:
Towards Network Complexity. Complex (1) 2009: 707-714 - [c13]Frank Emmert-Streib
, Matthias Dehmer:
Towards a Partitioning of the Input Space of Boolean Networks: Variable Selection Using Bagging. Complex (1) 2009: 715-723 - 2008
- [j11]Matthias Dehmer:
Information-Theoretic Concepts for the Analysis of Complex Networks. Appl. Artif. Intell. 22(7&8): 684-706 (2008) - [j10]Matthias Dehmer, Frank Emmert-Streib
, Tanja Gesell:
A comparative analysis of multidimensional features of objects resembling sets of graphs. Appl. Math. Comput. 196(1): 221-235 (2008) - [j9]Matthias Dehmer:
Information processing in complex networks: Graph entropy and information functionals. Appl. Math. Comput. 201(1-2): 82-94 (2008) - [j8]Matthias Dehmer, Frank Emmert-Streib
:
Structural information content of networks: Graph entropy based on local vertex functionals. Comput. Biol. Chem. 32(2): 131-138 (2008) - [j7]Matthias Dehmer:
A Novel Method for Measuring the Structural Information Content of Networks. Cybern. Syst. 39(8): 825-842 (2008) - [c12]Matthias Dehmer:
Relations Between the Topological Complexities of Complex Networks. IC-AI 2008: 855-859 - [e2]Matthias Dehmer, Michael Drmota, Frank Emmert-Streib:
Proceedings of the 2008 International Conference on Information Theory and Statistical Learning, ITSL 2008, Las Vegas, Nevada, USA, July 14-17, 2008. CSREA Press 2008, ISBN 1-60132-079-5 [contents] - 2007
- [j6]Frank Emmert-Streib
, Matthias Dehmer:
Topological mappings between graphs, trees and generalized trees. Appl. Math. Comput. 186(2): 1326-1333 (2007) - [j5]Matthias Dehmer, Frank Emmert-Streib
:
Comparing large graphs efficiently by margins of feature vectors. Appl. Math. Comput. 188(2): 1699-1710 (2007) - [j4]Frank Emmert-Streib
, Matthias Dehmer:
Information theoretic measures of UHG graphs with low computational complexity. Appl. Math. Comput. 190(2): 1783-1794 (2007) - [j3]Matthias Dehmer, Frank Emmert-Streib
:
Structural similarity of directed universal hierarchical graphs: A low computational complexity approach. Appl. Math. Comput. 194(1): 7-20 (2007) - [c11]Frank Emmert-Streib
, Matthias Dehmer:
Global Information Processing in Gene Networks: Fault Tolerance. BIONETICS 2007: 326-329 - [c10]Frank Emmert-Streib
, Matthias Dehmer:
Optimization Procedure for Predicting Nonlinear Time Series Based on a Non-Gaussian Noise Model. MICAI 2007: 540-549 - [c9]Matthias Dehmer, Frank Emmert-Streib, Andreas Zulauf:
A Graph Mining Technique for Automatic Classification of Web Genre Data. MLMTA 2007: 10-16 - [c8]Matthias Dehmer, Alexander Mehler, Frank Emmert-Streib:
Graph-theoretical Characterizations of Generalized Trees. MLMTA 2007: 113-117 - [c7]Rüdiger Gleim, Alexander Mehler, Matthias Dehmer, Olga Pustylnikov:
Aisles through the Category Forest - Utilising the Wikipedia Category System for Corpus Building in Machine Learning. WEBIST (2) 2007: 142-149 - [e1]Hamid R. Arabnia, Matthias Dehmer, Frank Emmert-Streib, Mary Qu Yang:
Proceedings of the 2007 International Conference on Machine Learning; Models, Technologies & Applications, MLMTA 2007, June 25-28, 2007, Las Vegas Nevada, USA. CSREA Press 2007, ISBN 1-60132-027-2 [contents] - 2006
- [j2]Matthias Dehmer, Frank Emmert-Streib
, Jürgen Kilian:
A similarity measure for graphs with low computational complexity. Appl. Math. Comput. 182(1): 447-459 (2006) - [c6]Frank Emmert-Streib, Matthias Dehmer:
Theoretical Bounds for the Number of Inferable Edges in Sparse Random Networks. BIOCOMP 2006: 472-476 - [c5]Frank Emmert-Streib, Matthias Dehmer, Chris Seidel:
Influence of Prior Information on the Reconstruction of the Yeast Cell Cycle from Microarray Data. BIOCOMP 2006: 477-482 - 2005
- [b1]Matthias Dehmer:
Strukturelle Analyse web-basierter Dokumente. Darmstadt University of Technology, Germany, 2005, pp. 1-173 - [j1]Matthias Dehmer:
Data Mining-Konzepte und graphentheoretische Methoden zur Analyse hypertextueller Daten. LDV Forum 20(1): 113-141 (2005) - [c4]Frank Emmert-Streib, Matthias Dehmer, Jürgen Kilian:
Classification of Large Graphs by a Local Tree Decomposition. DMIN 2005: 200-207 - [c3]Alexander Mehler, Rüdiger Gleim, Matthias Dehmer:
Towards Structure-sensitive Hypertext Categorization. GfKl 2005: 406-413 - 2004
- [c2]Matthias Dehmer, Alexander Mehler, Rüdiger Gleim:
Aspekte der Kategorisierung von Webseiten. GI Jahrestagung (2) 2004: 39-43 - [c1]Alexander Mehler, Matthias Dehmer, Rüdiger Gleim:
Towards Logical Hypertext Structure. IICS 2004: 136-150
Coauthor Index

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