Publications

Thesis

Strukturelle Analyse web-basierter Dokumente, PhD Thesis
Dehmer M.
TU-Darmstadt, 2005
1 Bib
Schrankensätze in der analytischen Theorie der Polynome, Diploma Thesis
Dehmer M.
UGH-Siegen, 1998
2 Bib

Books

Strukturelle Analyse Web-basierter Dokumente, Gabler Edition Wissenschaft
Dehmer M.; Editors: Lehner F., Bodendorf F.
Gabler Edition Wissenschaft, Deutscher Universitätsverlag; Series: Multimedia und Telekooperation, 2006
3 Link
Bib
Die analytische Theorie der Polynome. Nullstellenschranken für komplexwertige Polynome
Dehmer M.
Weissensee-Verlag, Berlin, 2004
4 Link
Bib

Books (Edited and Co-edited)

Frontiers in Data Science
Dehmer M., Emmert-Streib F.
CRC, 2017
5
Computational Network Analysis with R: Applications in Biology, Medicine and Chemistry
Dehmer M., Shi Y., Emmert-Streib F.
Wiley-Blackwell, 2016
6 Link
Big Data of Complex Networks
Dehmer M., Emmert-Streib F., Holzinger A., Pickl S.
CRC, 2016
7 Link
Mathematical Foundations and Applications of Graph Entropy
Dehmer M., Chen Z., Li X., Shi Y., Emmert-Streib F.
Wiley-Blackwell, 2016
8 Link
Quantitative Graph Theory: Theoretical Foundations and Applications
Dehmer M., Emmert-Streib F.
CRC Press, 2014
9 Link
Advances in Network Complexity
Dehmer M., Mowshowitz A., Emmert-Streib F.
Wiley-Blackwell, 2013
10 Link
Statistical Diagnostics for Cancer: Analyzing High-Dimensional Data
Emmert-Streib F., Dehmer M.
Wiley-Blackwell, 2013
11 Link
Statistical and Machine Learning Approaches for Network Analysis
Dehmer M, Basak S. C.
Wiley Series in Computational Statistics, Wiley, 2012
12 Link
Statistical Modelling of Molecular Descriptors in QSAR/QSPR
Dehmer M., Varmuza K., Bonchev D.
Wiley-VCH, 2012
13 Link
Bib
Towards an Information Theory of Complex Networks: Statistical Methods and Applications
Dehmer M., Emmert-Streib F., Mehler A.
Birkhäuser Publishing, 2011
14 Link
Bib
Applied Statistics for Network Biology: Methods in Systems Biology
Dehmer M., Emmert-Streib F., Graber A., Salvador A.
Wiley-VCH, 2011
15 Link
Bib
Structural Analysis of Complex Networks
Dehmer M.
Birkhäuser Publishing, 2010
16 Link
Bib
Medical Biostatistics for Complex Diseases
Emmert-Streib F., Dehmer M.
Wiley-VCH Publishing, 2010
17 Link
Bib
Analysis of Complex Networks: From Biology to Linguistics
Dehmer M., Emmert-Streib F.
Wiley-VCH Publishing, 2009
18 Link
Bib
Analysis of Microarray Data: A Network-based Approach
Emmert-Streib F., Dehmer M.
Wiley-VCH Publishing, 2008
19 Link
Bib
Information Theory and Statistical Learning
Emmert-Streib F., Dehmer M.
Springer, 2008
20 Link
Bib

Proceedings Editor

Proceedings of the 2008 International Conference on Information Theory and Statistical Learning (ITSL’08)
Dehmer M., Drmota M., Emmert-Streib F.
CSREA Press, 2008
21 Bib
Proceedings of the 2007 International Conference on Machine Learning: Models, Technologies and Applications (MLMTA’07)
Arabnia H. R., Dehmer M., Emmert-Streib F.
CSREA Press, 2007
22 Bib

Books (Associate Editor)

Proceedings of the 2007 International Conference on Scientific Computing (CSC’07)
Arabnia H. R. et al.; Dehmer M. (Associate Editor)
CSREA Press, 2007
23 Bib
Proceedings of the 2007 International Conference on Genetic and Evolutionary Methods (GEM’07)
Arabnia H. R. et al.; Dehmer M. (Associate Editor)
CSREA Press, 2007
24 Bib
Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology
Arabnia H. R., Valafar H.; Dehmer M. (Associate Editor),
Las Vegas, Nevada, USA, 2006, CSREA Press
25 Bib

Books (Series Editor)

Machine Learning Approaches in Bioinformatics
Meller J., Nowak W.; Emmert-Streib F., Dehmer M. (Series Editors)
Peter Lang Publishing, 2007
26 Link
Bib

Book Chapter

What ist Quantitative Graph Theory? In: Dehmer M., Emmert-Streib F., (Editors): Quantitative Graph Theory: Theoretical Foundations and Applications
Dehmer M., Kraus V., Emmert-Streib F., Pickl S.
CRC Press, 2014
27 Link
The Uniqueness of Graph Invariants: Classical and Recent Results. In: Gutman I. et al. (Editors): Topics in Chemical Graph Theory
Dehmer M., Dobrynin A. A.
Mathematical Chemistry Monographs, 2014, in press
28
Multi-touch Graph-Based Interaction for Knowledge Discovery on Mobile Devices: State-of-the-Art and Future Challenges. In: Holzinger, A., Jurisica, I. (Eds.): Interactive Knowledge Discovery and Data Mining
Holzinger, A., Ofner, B., Dehmer, M.
Springer Lecture Notes in Computer Science LNCS 8401, Berlin, Heidelberg: Springer, 2014, 241-254
29 Link
On Terrain Coverage Optimization by Using a Network Approach for Universal Graph-Based Data Mining and Knowledge Discovery, In: Slezak D., Tan A. H., Peters J. F., Schwabe L. (Editors): Brain Informatics and Health 2014, Warsaw, Poland
Preuß M., Dehmer M., Pickl S., Holzinger H.
Springer Lecture Notes in Computer Science, Vol. 8609, 2014, 564-573
30 Link
On Comparability Graphs. In: Basak S. C., Restrepo G., Villaveces J. L. (Editors): Advances in Mathematical Chemistry
Dehmer M., Sivakumar L.
Bentham Publishing, 2014, in press
31
Overview of Public Cancer Databases, Resources, and Visualization Tools. In: Emmert-Streib F., Dehmer M. (Editors): Statistical Diagnostics for Cancer: Analyzing High-Dimensional Data
Emmert-Streib F., De Matos Simoes R., Tripathi S., Dehmer M.
Wiley-Blackwell, 2013, 27-40
32 Link
On Graph Entropy Measures for Knowledge Discovery from Publication Network Data. In: Cuzzocrea A., Kittl C., Simos D. E., Weippl E., Xu L. (Ed.): Availability, Reliability, and Security in Information Systems and HCI (Lectures Notes in Computer Science)
Holzinger, A., Ofner B, Stocker, C., Valdez A. C., Schaar A. K., Ziefle M., Dehmer, M.
Springer, Vol. 8127, 2013, 354-362
33 Link
Big complex biomedical data: Towards a taxonomy of data. In: Obaidat M. S., et al. (Editors): Springer Communications in Computer and Information Science
Holzinger, A., Stocker, C., Dehmer, M.
Springer, 2013, accepted
34
Comparing Biological Networks: A Survey on Graph Classifying Techniques. In: Csukás B., Prokop A.: Systems Biology: Integrative Biology and Simulation Tools
Müller L., Dehmer M., Emmert-Streib F.
Springer, 2013, in press
35
On Aspects of the Degeneracy of Topological Indices. In: Enachescu F., Filip F. G., Iantovics B. (Editors): Advanced Computational Technologies
Dehmer M., Varmuza K.
Romanian Academy Press, 2012, 99-107
36
On Measuring the Complexity of Sets of Graphs Using Graph Entropy. In: Enachescu F., Filip F. G., Iantovics B. (Editors): Advanced Computational Technologies
Dehmer M., Mowshowitz A.
Romanian Academy Press, 2012, 176-184
37 Bib
Network-based Methods for Computational Diagnostics by Means of R. In: Trajanoski Z. (Editor): Computational Medicine
Müller L., Dehmer M., Emmert-Streib F.
Springer, 2012, 185-197
38 Link
On Distance-Based Entropy Measures. In: Gutman I., Furtula B. (Editors): Distance in Molecular Graphs - Theory
Dehmer M., Sivakumar L., Varmuza K.
Mathematical Chemistry Monographs, 2011, 49-70
39 Link
Altenburg, Wiener, and Hosoya Polynomials. In: Gutman I., Furtula B. (Editors): Distance in Molecular Graphs - Theory,
Gutman I., Zhang Y., Dehmer M., Ilić A.
Mathematical Chemistry Monographs, 2011, 49-70
40 Link
Quantifying Structural Complexity of Graphs: Information Measures in Mathematical Chemistry. In: Putz M. (Editor): Quantum Frontiers of Atoms and Molecules
Dehmer M., Emmert-Streib F. Tsoy R. Y., Varmuza K.
Nova Publishing, 2011, 479-497
41 Link
Bib
Recent Developments on Information-theoretic Descriptors to Analyze Networks. In: Gutman I., Furtula B. (Editors): Novel molecular Structure Descriptors - Theory and Applications I
Dehmer M., Graber A.
Mathematical Chemistry Monographs, Vol. 8, 2010, 21-38
42 Bib
Mining Graph Patterns in Web-based Systems: A Conceptual View. In: Mehler A., Sharoff S., Rehm G., Santini M. (Editors): Genres on the Web: Computational Models and Empirical Studies
Dehmer M., Emmert-Streib F.
Springer, 2010, 237-253
43 Bib
Detecting Pathological Pathways of a Complex Disease by a Comparative Analysis of Networks. In: Emmert-Streib F., Dehmer M. (Editors): Analysis of Microarray Data: A Network-based Approach
Dehmer M., Emmert-Streib F.
Wiley-VCH Publishing, 2008, 285-303
44 Bib

Journal Publications

Graph Operations based on Using Distance-based Graph Entropies
Ghorbani M., Dehmer M., Zangia S.
Applied Mathematics and Computation, Vol. 333, 2018, 547-555
45 Link
On Certain Aspects of Graph Entropies of Fullerenes
Ghorbani M., Dehmer M., Zangia S.
MATCH Commun. Math. Comput. Chem., 2018
46
MetrIntSimil- An Accurate and Robust Metric for Comparison of Similarity in Intelligence of Any Number of Cooperative Multiagent Systems
Iantovics L. B., Dehmer M., Emmert-Streib F.
Symmetry, Vol. 10 (48), 2018
47 Link
A Hybrid Binomial Inverse Hypergeometric Probability Distribution: Theory and Applications
Jodlbauer H., Dehmer M., Strasser S.
Applied Mathematics and Computation, Vol. 338, 2018, 44-54
48 Link
A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition
Emmert-Streib F., Dehmer M.
Machine Learning \& Knowledge, Extraction, Vol. 1(1), 149-156
49 Link
Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations?
Emmert-Streib F., Dehmer M.
Machine Learning \& Knowledge, Extraction, Vol. 1(1), 2018, 138-148
50 Link
Computational analysis of structural properties of economic and financial networks
Emmert-Streib F., Musa A., Baltakys K., Kanniainen J., Tripathi S., Yli-Harja O., Jodlbauer H., Dehmer M.
Journal of Network Theory in Finance, 2018
51 Link
Harnessing the biological complexity of Big Data from LINCS Gene Expression Signatures
Emmert-Streib F., Musa A., Tripathi S., Kandhavelu M., Dehmer M.
PLoS ONE, 2018
52 Link
Data analytics applications for streaming data from social media: What to predict?
Emmert-Streib F., Yli-Harja O., Dehmer M.
Frontiers in Big Data-Data Mining and Management, 2018
53 Link
Understanding the world economy in terms of networks: A survey of data-based network science approaches on economic networks
Emmert-Streib F., Tripathi S., Yli-Harja O., Dehmer M.
Frontiers in Applied Mathematics and Statistics-Mathematical Finance, 2018
54 Link
Comments to 'Quantification of network structural dissimilarities' published by Schieber et al.
Dehmer M., Emmert-Streib F.
Mathematical Methods in the Applied Sciences, Vol. 41 (14), 5711-5713
55 Link
Properties of Graph Distance Measures by Means of Discrete Inequalities
Dehmer M., Chen Z., Emmert-Streib F., Shi Y., Shailesh T., Musa A., Mowshowitz A.
Applied Mathematics Modelling, Vol. 59, 2018, 739-749
56 Link
Graph measures with high discrimination power revisited: A random polynomial approach
Dehmer M., Chen Z., Emmert-Streib F., Shi Y., Shailesh T.
Information Science, Vol. 467, 2018, 407-414
57 Link
Towards Detecting Structural Branching and Cyclicity in Graphs: A Polynomial-based Approach
Dehmer M., Chen Z., Emmert-Streib F., Mowshowitz A., Shi Y., Shailesh T., Zhang Y.
Information Science, 2018
58 Link
From the connectivity index to various Randi\'{c}-type descriptors
Ma Y., Cao S., Shi Y., Gutman I., Dehmer M., Furtula B.
MATCH Commun. Math. Comput. Chem., Vol. 80 (1) 2018, 85-106
59 Link
Interplay between SIR-based disease spreading and awareness diffusion on multiplex networks
Zheng C., Xia C., Liang W., Guo Q., Dehmer M.
Journal of Parallel and Distributed Computing, Vol. 115, 2018, 20-28
60 Link
Computational fluid dynamics based dynamic modelling of parafoil system
Tao J., Sun Q., Liang W., Chen Z., He Y., Dehmer M.
Applied Mathematical Modelling, Vol. 54, 2018, 136-150
61 Link
A Calculus for Measuring the Elegance of Abstract Graphs
Mowshowitz A., Dehmer M.
Applied Mathematics and Computation, Vol. 320, 2018, 142-148
62 Link
Dynamic Modeling and Trajectory Tracking Control of Parafoil System in Wind Environments
Tao J., Sun Q., Sun H., Chen Z., Dehmer M.
IEEE/ASME Transactions on Mechatronics, Vol. 52 (6), 2017
63 Link
Toward Measuring Network Aesthetics Based on Symmetry
Chen Z., Dehmer M., Emmert-Streib F., Mowshowitz A., Shi Y.
Axioms, Vol. 6 (12), 2017
64 Link
Network Entropies Based on Independent Sets and Matchings
Cao S., Dehmer M., Kang Z.
Applied Mathematics and Computation, Vol. 307, 2017, 265-270
65 Link
Quantitative Graph Theory: A new branch of graph theory and network science
Dehmer M., Emmert-Streib F., Shi Y.
Information Sciences, Vol. 418-419C, 2017, 575-580
66 Link
Highly unique network descriptors based on the roots of the permanental polynomial
Dehmer M., Emmert-Streib F., Hu B., Shi Y., Stefu M., Tripathi S.
Information Sciences, Vol. 408, 2017, 176-181
67 Link
Lessons from the Human Genome Project: Modesty, honesty and realism
Emmert-Streib F., Dehmer M., Yli-Harja O.
Frontiers in Genetics-Bioinformatics and Computational Biology, Vol. 8 (184), 2017
68 Link
A Comparative Analysis of New Graph Distance Measures and Graph Edit Distance
Li T., Dong H., Shi Y., Dehmer M.
Information Sciences, Vol. 403-404, 2017, 15-21
69 Link
A review of connectivity map and computational approaches in pharmacogenomic
Musa A., Ghoraie L. S., Zhang S. D., Glazko G., Yli-Harja O., Dehmer M., Haibe-Kains B., Emmert-Streib S.
Briefings in Bioinformatics, 2017, 1-18
70 Link
sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters
Tripathi S., Lloyd-Price J., Ribeiro A., Yli-Harja O., Dehmer M., Emmert-Streib F.
BMC Bioinformatics, Vol. 18 (325), 2017
71 Link
Principal minor version of Matrix-Tree theorem for mixed graphs
Yu G., Qu H., Dehmer M.
Applied Mathematics and Computation, Vol. 309, 2017, 27-30
72 Link
Prediction of therapeutic peptides by incorporating q-Wiener index into Chou's general PseAAC
Xu C., Li. G., Zhang Y., Gutman I., Dehmer M.
Journal of Biomedical Informatics, Vol. 75, 2017, 63-69
73 Link
Protein Sequence Comparison Based on Physicochemical Properties and Position-Feature Energy Matrix
Yu L., Zhang Y., Gutman I., Shi Y., Dehmer M.
Scientific Reports, Vol. 7 (46237), 2017
74 Link
Impact Factor:
4.122
Comparison between the zeroth-order Randic index and the sum-connectivity index
Das K. Ch., Dehmer M.
Applied Mathematics and Computation, Vol. 266, 2016, 1027-1030
75 Link
Impact Factor:
2.3
A Case Study of Cracks in the Scientific Enterprise: Reinvention of Information-Theoretic Measures for Graphs
Dehmer M., Mowshowitz A.
Complexity, Vol. 21, 2016, 20-22
76 Link
New Inequalities Network Distance Measures by Using Graph Spectra
Dehmer M., Pickl S., Shi Y., Yu G.
Discrete Applied Mathematics, 2016
77 Link
Impact Factor:
0.932
A Conjecture Regarding the Extremal Values of Graph Entropy Based on Degree Powers
Das K. Ch., Dehmer M.
Entropy, 2016, Vol. 18 (183)
78 Link
Impact Factor:
1.743
The process of analyzing data is the emergent feature of data science
Emmert-Streib M., Moutari S., Dehmer M.
Frontiers in Genetics, 2016, Vol. 7 (12)
79 Link
Impact Factor:
3.92
Against Dataism and for Data Sharing of Big Biomedical and Clinical Data with Research Parasites
Emmert-Streib M., Dehmer M., Yli-Harja O.
Frontiers in Genetics, 2016, Vol. 7 (154)
80 Link
Impact Factor:
3.92
Fifty Years of Graph Matching, Network Alignment and Network Comparison
Emmert-Streib F., Dehmer M., Shi Y.
Information Sciences, 2016, Vol. 346–347, 180–197
81 Link
Impact Factor:
3.364
Sharp Upper Bounds for the Balaban Index of Bicyclic Graphs
Chen Z., Dehmer M., Shi Y., Yang H.
MATCH Commun. Math. Comput. Chem., Vol. 75 (1), 2016, 105-128
82 Link
Impact Factor:
3.858
Comparison between the zeroth-order Randic index and the sum-connectivity index
Das K. Ch., Dehmer M.
Applied Mathematics and Computation, 2016, Vol. 274, 585–589
83 Link
Impact Factor:
1.345
Degree-Based Entropies of Networks Revisited
Cao S., Dehmer M.
Applied Mathematics and Computation, Vol. 261, 2015, 141-147
84 Link
Impact Factor:
1.345
Bounds for degree-based Network Entropies
Chen Z., Dehmer M., Shi Y.
Applied Mathematics and Computation, Vol. 265, 2015, 983-993
85 Link
Impact Factor:
1.345
Entropy of Weighted Graphs with Randic Weights
Chen Z., Dehmer M., Emmert-Streib F., Shi Y.
Entropy, Vol. 17 (6), 2015, 3710-3723
86 Link
Impact Factor:
1.502
Connections Between Generalized Graph Entropies and Graph Energy
Dehmer M., Li X., Shi Y.
Complexity, 2015, Vol. 21, 35-41
87 Link
Impact Factor:
3.514
Discrimination Power of Polynomial-based Descriptors for Graphs by Using Functional Matrices
Dehmer M., Emmert-Streib F., Shi Y., Stefu M., Tripathi S.
PLoS ONE, Vol. 10 (10), 2015, e0139265
88 Link
A Method for Inferring Inequalities for Probability Values Applied to Complex Networks
Dehmer M., Shi Y.
Complexity, 2015, Vol. 21, 113–115
89 Link
Impact Factor:
3.514
Collaborative Risk Management for National Security and Strategic Foresight
Dehmer M., Meyer-Nieberg S., Mihelcic G., Pickl S., Zsifkovits M.
EURO Journal on Decision Processes, Vol. 3 (3), 2015, 305-337
90 Link
Encoding Structural Information Uniquely With Polynomial-based Descriptors by Employing The Randic Matrix
Dehmer M., Moosbrugger M., Shi Y.
Applied Mathematics and Computation, Vol. 268, 2015, 164-168
91 Link
Impact Factor:
1.345
Graph Distance Measures Based on Topological Indices Revisited
Dehmer M., Emmert-Streib F., Shi Y.
Applied Mathematics and Computation, Vol. 266, 2015, 623-633
92 Link
Impact Factor:
1.345
Structural Analysis of Treatment Cycles Representing Transitions Between Nursing Organizational Units Inferred from Diabetes
Dehmer M., Kurt Z., Emmert-Streib F., Them C., Schulc E., Hofer S.
PLoS ONE, Vol. 10 (6), 2015, e0127152
93 Link
A Comparative Analysis of the Tanimoto Index and Graph Edit Distance for Measuring the Topological Similarity of Trees
Dehmer M., Varmuza K.
Applied Mathematics and Computation, Vol. 259, 2015, 242-250
94 Link
Impact Factor:
1.345
Discrimination Power of Graph Measures based on Complex Zeros of The Partial Hosoya Polynomial
Dehmer M., Shi Y., Mowshowitz A.
Applied Mathematics and Computation, Vol. 250 (1), 2015, 352-355
95 Link
Impact Factor:
1.345
Biological networks: The microscope of the 21st century?
Emmert-Streib F., Dehmer M.
Frontiers in Genetics, 2015, Vol. 6 (307)
96 Link
Impact Factor:
3.92
Novel inequalities for generalized graph entropies - Graph energies and topological indices
Li X., Qin Z., Wei M., Gutman I., Dehmer M.
Applied Mathematics and Computation, Vol. 259, 2015, 470-479
97 Link
Impact Factor:
1.345
On the Distance Based Graph Entropies
Ilic A., Dehmer M.
Applied Mathematics and Computation, Vol. 269, 2015, 647-650
98 Link
Impact Factor:
1.345
The Hosoya entropy of a graph
Mowshowitz A., Dehmer M.
Entropy, Vol. 17 (3), 2015, 1054-1062
99 Link
Impact Factor:
1.743
Network Exploratory Analysis on Subway Transportation Systems against Complex Threats Including a Human Factors Perspective
Nistor, M. S., Dehmer, M., Pickl, S.
Procedia Manufacturing, Vol. 3, 2015, 6593-6598
100
Numerical Evaluation and Comparison of Kalantari's Zero Bounds for Complex Polynomials
Dehmer M., Tsoy Y. R.
PLoS ONE, Vol. 9 (10), 2014, e110540
101 Link
Netmes: Assessing gene network inference algorithms by ensemble network-based measures
Altay G., Kurt Z., Dehmer M., Emmert-Streib F.
Evolutionary Bioinformatics, Vol. 10, 2014, 1-9
102 Link
Extremality of Degree-Based Graph Entropies
Cao S., Dehmer M., Shi Y.
Information Sciences, Vol. 278, 2014, 22-33
103 Link
Impact Factor:
3.291
Entropy Bounds for Dendrimers
Chen Z., Dehmer M., Emmert-Streib F., Shi Y.
Applied Mathematics and Computation, Vol. 242, 2014, 462-472
104 Link
Impact Factor:
1.6
Structural Differentiation of Graphs using Hosoya-based Indices
Dehmer M., Mowshowitz A., Shi Y.
PLoS ONE, 2014, Vol. 9 (7), e102459
105 Link
Impact Factor:
4.351
A Computational Approach to Construct a Multivariate Complete Graph Invariant
Dehmer M., Emmert-Streib M., Grabner M.
Information Sciences, Vol. 260 (1), 2014, 200-208
106 Link
Impact Factor:
3.291
The Uniqueness of DMAX-Matrix Graph Invariants
Dehmer M., Shi Y.
PLoS ONE, Vol. 9 (1), 2014, e83868
107 Link
Impact Factor:
4.351
Connections Between Generalized Graph Entropies and Graph Energy
Dehmer M., Li X., Shi Y.
Complexity, 2014, doi: 10.1002/cplx.21539
108 Link
Interrelations of Graph Distance Measure Based on Topological Indices
Dehmer M., Emmert-Streib M., Shi Y.
PLoS ONE, Vol. 9 (4), 2014, e94985
109 Link
Impact Factor:
4.351
Gene regulatory networks and their applications: Understanding biological and medical problems in terms of networks
Emmert-Streib M., Dehmer M., Haibe-Kains B.
Frontiers in Cell and Developmental Biology, 2014, Vol. 2, Article 38, doi: 10.3389/fcell.2014.00038
110 Link
Untangling statistical and biological models to understand network inference: The need for a genomics network ontology
Emmert-Streib M., Dehmer M., Haibe-Kains B.
Frontiers in Genetics, 2014, Vol. 5, Article 299, doi: 10.3389/fgene.2014.00299
111 Link
The gene regulatory network for breast cancer: Integrated regulatory landscape of cancer hallmarks
Emmert-Streib M., de Matos Simoes R., Mullan P., Haibe-Kains B., Dehmer M.
Frontiers in Genetics, Vol. 15 (5), 2014
112 Link
Functional and genetic analysis of the colon cancer network
Emmert-Streib F., de Matos Simoes R., Glazko G., McDade S., Haibe-Kains B., Holzinger A., Dehmer M., Campbell F.
BMC Bioinformatics, Vol. 15 (Suppl 6):S6, 2014
113 Link
Impact Factor:
2.67
Knowledge Discovery and Interactive Data Mining in Bioinformatics - State-of-the-Art, Future challenges and Research Directions
Holzinger A., Dehmer M., Jurisica I.
BMC Bioinformatics, Vol. 15 (6):I1, 2014
114 Link
Impact Factor:
2.67
Probabilistic Inequalities for Evaluating Structural Network Measures
Kraus V., Dehmer M., Emmert-Sreib F.
Information Sciences, Vol. 288, 2014, 220–245
115 Link
Impact Factor:
3.291
Large-Scale Analysis of Structural Branching Measures
Schutte M., Dehmer M.
Journal of Mathematical Chemistry, 2014, Vol. 52 ( 3), pp 805-819
116 Link
Impact Factor:
1.27
NetBioV: An R package for visualizing large network data in biology and medicine
Tripathi S., Dehmer M., Emmert-Streib F.
Bioinformatics, 2014
117 Link
Impact Factor:
4.621
A Large-Scale Database of Molecular Descriptors using compounds from Pub- Chem
Dander A., Müller L., Gallasch R., Pabinger S., Emmert-Streib F., Graber A., Dehmer M.
Source Code for Biology and Medicine, Vol. 8 (22), 2013
118 Link
Large-Scale Evaluation of Molecular Descriptors by Means of Clustering
Dehmer M., Emmert-Streib F., Tripathi S.
PLoS ONE, Vol. 8 (12), 2013, e83956
119 Link
Impact Factor:
4.351
Quantitative Network Measures as Biomarkers for Classifying Prostate Cancer Disease States: A Systems Approach to Diagnostic Biomarkers
Dehmer M., Müller L., Emmert-Streib F.
PLoS ONE, Vol. 8 (11), 2013, e77602
120 Link
Impact Factor:
4.351
The Discrimination Power of Structural SuperIndices
Dehmer M., Mowshowitz A.
PLoS ONE, Vol. 8 (7), 2013, e70551
121 Link
Impact Factor:
4.351
An Efficient Heuristic Approach to Detecting Graph Isomorphism Based on Combinations of Highly Discriminating Invariants
Dehmer M., Grabner M., Mowshowitz A., Emmert-Streib F.
Advances in Computational Mathematics, Vol. 39 (2), 2013, 311-325
122 Link
Impact Factor:
1.562
Network Nursing: Connections between Nursing and Complex Network Science
Dehmer M., Hackl W. O., Emmert-Streib F., Schulc E., Them C.
International Journal of Nursing Knowledge, Vol. 24 (3), 2013, 150-156
123 Link
Impact Factor:
0.361
The Discrimination Power of Molecular Identification Numbers Revisited
Dehmer M., Grabner M.
MATCH Commun. Math. Comput. Chem., Vol. 69 (3), 2013, 785-794
124 Link
Impact Factor:
3.217
B-cell lymphoma gene regulatory networks: Biological consistency among inference methods
de Matos Simoes, Dehmer M., Emmert-Streib F.
Frontiers in Genetics, Vol. 4, Article 281, 2013
125 Link
Interfacing cellular networks of S. cerevisiae and E. coli: Connecting dynamic and genetic information
de Matos Simoes, Dehmer M., Emmert-Streib F.
BMC Genomics, Vol. 14 (324), 2013
126 Link
Impact Factor:
4.4
Enhancing systems medicine beyond genotype data by dynamic patient signatures: Having information and using it too
Emmert-Streib F., Dehmer M.:
Frontiers in Bioinformatics and Computational Biology, Vol. 4, Article 241, 2013
127 Link
Learning Systems Biology: Conceptual Considerations Toward a Web-based Learning Platform
Emmert-Streib F., Dehmer M., Lyardet F.
Education Sciences, Vol. 3 (2) 2013, 158-171
128 Link
The human disease network. Opportunities for classification, diagnosis and prediction of disorders and disease genes
Emmert-Streib F., Tripathi S., de Matos Simoes R., Hawwa A. F., Dehmer M.
Systems Biomedicine, Vol. 1 (1), 2013, 1-8
129 Link
On Structure-Sensitivity of Degree-Based Topological Indices
Furtula B., Gutman I., Dehmer M.
Applied Mathematics and Computation, Vol. 219, 2013, 8973–8978
130 Link
Impact Factor:
1.6
On Sphere-Regular Graphs and the Extremality of Information-Theoretic Network Measures
Kraus V., Dehmer M., Schutte M.
MATCH Commun. Math. Comput. Chem., Vol. 70 (3), 2013, 885-900
131 Link
Impact Factor:
3.217
Multivariate linear QSPR/QSAR models: Rigorous evaluation of variable selection for PLS
Varmuza K., Filzmoser P., Dehmer M.
Computational and Structural Biotechnology Journal, Vol. 5 (6), e201302007, 2013, 1-10
132 Link
On Extremal Properties of Graph Entropies
Dehmer M., Kraus V.
MATCH Commun. Math. Comput. Chem., Vol. 68 (3), 2012, 889-912
133 Link
Impact Factor:
3.217
The Quality of Zero Bounds for Complex Polynomials
Dehmer M., Tsoy Y. R.
PLoS ONE, Vol. 7 (7), 2012, e39537
134 Link
Impact Factor:
4.351
Uniquely Discriminating Molecular Structures Using Novel Eigenvalue-Based Descriptors
Dehmer M., Sivakumar L., Varmuza K.
MATCH Commun. Math. Comput. Chem., Vol. 67 (1), 2012, 147-172
135 Link
Impact Factor:
3.217
Structural Discrimination of Networks by Using Distance, Degree and Eigenvalue-Based Measures
Dehmer M., Grabner M., Furtula B.
PLoS ONE, Vol. 7 (7), 2012, e38564
136 Link
Impact Factor:
4.351
Information Indices with High Discriminative Power for Graphs
Dehmer M., Grabner M., Varmuza K.
PLoS ONE 7 (2), 2012, e31214
137 Link
Impact Factor:
4.351
Location of Zeros of Wiener and Distance Polynomials
Dehmer M., Ilić A.
PLoS ONE 7 (3), 2012, e28328
138 Link
Impact Factor:
4.351
Recent Developments in Quantitative Graph Theory: Information Inequalities for Networks
Dehmer M., Sivakumar L.
PLoS ONE, Vol. 7 (2), 2012, e31395
139 Link
Impact Factor:
4.351
A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data
Emmert-Streib F., De Matos Simoes R., Tripathi S., Glazko G. V., Dehmer M.
Scientific Reports (Nature Publishing), Vol. 2, 2012
140 Link
Exploring statistical and population aspects of network complexity
Emmert-Streib F., Dehmer M.
PLoS ONE, Vol. 7 (5), 2012, e34523
141 Link
Impact Factor:
4.351
RMol: A Toolset for Transforming SD/Molfile structure information into R Objects
Grabner M., Dehmer M., Varmuza K.
Source Code for Biology and Medicine, Vol. 7 (12), 2012
142 Link
Effects of pooling samples on the performance of classification algorithms: A comparative study
Kusonmano K., Kugler K., Graber A., Emmert-Streib F., Dehmer M.
The Scientific World Journal, Vol. 12, 2012
143 Link
Impact Factor:
1.524
Entropy and the Complexity of Graphs Revisited
Mowshowitz A., Dehmer M.
Entropy, Vol. 14 (3), 2012, 559-570
144 Link
Impact Factor:
1.109
A Network-Based Feature Selection Approach to Identify Metabolic Signatures in Disease
Netzer M., Kugler K., Müller M., Weinberger K., Graber A., Baumgartner C., Dehmer M.
Journal of Theoretical Biology, Vol. 310, 2012, 216-222
145 Link
Impact Factor:
2.371
Towards Information Inequalities for Generalized Graph Entropies
Sivakumar L., Dehmer M.
PLoS ONE, Vol. 7 (6), 2012, e38159
146 Link
Impact Factor:
4.351
Redundancy analysis for characterizing the correlation between groups of variables - Applied to molecular descriptors
Varmuza K., Filzmoser P., Liebmann B., Dehmer M.
Chemometrics and Intelligent Laboratory Systems, Vol. 117, 31-41, 2012
147 Link
Impact Factor:
2.111
Information Theory of Networks
Dehmer M.
Symmetry, Vol. 3 (4), 2011, 767-779
148 Link
Inclusion Radii for the Zeros of Special Polynomials
Dehmer M.
Buletinul Academiei de Stiinte a Republicii Moldova. Matematica, Vol. 3 (67), 2011, 84-90
149 Link
Impact Factor:
0.111
Bounds on the Moduli of Polynomial Zeros
Dehmer M., Mowshowitz A.
Applied Mathematics and Computation, Vol. 218 (8), 2011, 4128-4137
150 Link
Impact Factor:
1.6
Graph Prototyping for Co-Expression Cancer Networks
Kugler K., Müller L., Graber A., Dehmer M.
PLoS ONE, Vol. 6 (7), 2011, e22843
151 Link
Impact Factor:
4.351
A Network-Based Approach to Classify the Three Domains of Life
Müller L., Kugler K., Graber A., Dehmer M.
Biology Direct, 2011, Vol. 6 (53)
152 Link
Impact Factor:
3.74
Structural Measures for Network Biology Using QuACN
Müller L., Kugler K., Graber A., Emmert-Streib F., Dehmer M.
BMC Bioinformatics, 2011, Vol. 12 (492)
153 Link
Impact Factor:
2.67
Classification of AMES mutagenicity from molecular descriptors - Applying D-PLS regression and repeated double cross validation
Varmuza K., Dehmer M.
Asian Chemistry Letters, 2011, accepted
154 Link
Generalized Graph Entropies
Dehmer M., Mowshowitz A.
Complexity, Vol. 17 (2), 2011, 45-50
155 Link
Impact Factor:
0.948
A History of Graph Entropy Measures
Dehmer M., Mowshowitz A.
Information Sciences, Vol. 1 (1), 2011, 57-78
156 Link
Bib
Impact Factor:
3.291
Connections between Classical and Parametric Network Entropies
Dehmer M., Mowshowitz A., Emmert-Streib F.
PLoS ONE, Vol. 6 (1), 2011, e15733
157 Bib
Impact Factor:
4.351
Networks for Systems Biology: Conceptual Connection of Data and Function
Emmert-Streib F., Dehmer M.
IET Systems Biology, Vol. 5 (3), 2011, 185-207
158 Bib
Impact Factor:
2.384
The Impact of Storage Effects in Biobanks on Biomarker Discovery in Systems Biology Studies
Balasubramanian R., Müller L., Kugler K., Hackl W., Pleyer L., Dehmer M., Graber A.
Biomarkers, Vol. 15, No. 8 , 2010, 677-683
159 Link
Bib
Impact Factor:
1.608
Network Analysis Using a Novel Highly Discriminating Topological Index
Diudea M. V., Ilić A., Varmuza K., Dehmer M.
Complexity, Vol. 16 (6), 2010, 32-39
160 Link
Bib
Impact Factor:
0.948
Novel Topological Descriptors for Analyzing Biological Networks
Dehmer M., Barbarini N., Varmuza K., Graber A.
BMC Structural Biology, Vol. 10 (18), 2010
161 Link
Bib
Impact Factor:
2.79
New Polynomial-based Molecular Descriptors With Low Degeneracy
Dehmer M., Müller L., Graber A.
PLoS ONE, Vol. 5 (7), 2010, e11393
162 Link
Bib
Impact Factor:
4.351
Novel Information Measure for the Analysis of Chemical Graphs (in Russian)
Dehmer M., Emmert-Streib F., Tsoy Y. R., Varmuza K.
Bulletin of the Tomsk Polytechnic University, Vol. 316 (5), 2010, 5-11
163 Bib
Impact Factor:
0.12
Towards Structural Network Analysis
Dehmer M., Popovscaia M.
Buletinul Academiei de Stiinte a Republicii Moldova. Matematica, Vol. 1, 2010, 3-22
164 Link
Bib
Impact Factor:
0.111
Inequalities for Entropy-Based Measures of Network Information Content
Dehmer M., Mowshowitz A.
Applied Mathematics and Computation, Vol. 215 (12), 2010, 4263-4271
165 Link
Bib
Impact Factor:
1.6
Influence of the Time Scale on the Construction of Financial Networks
Emmert-Streib F., Dehmer M.
PLoS ONE, Vol. 5 (9), 2010, e12884
166 Link
Bib
Impact Factor:
4.351
Identifying Critical Financial Networks of the DJIA: Toward(s) a Network based Index
Emmert-Streib F., Dehmer M.
Complexity, Vol. 16, Issue 1, 2010, 24-33
167 Link
Bib
Impact Factor:
0.948
A Symmetry Index for Graphs
Mowshowitz A., Dehmer M.
Symmetry: Culture and Science, Vol. 21 (4), 2010
168 Link
Bib
Systems Biology: Opening new avenues in clinical research
Molina F., Dehmer M., Perco P., Graber A., Girolami M., Spasovski G., Schanstra J. P., Vlahou A.
Nephrology Dialysis Transplantation, Vol. 25 (4), 1015-1018, 2010
169 Link
Bib
Impact Factor:
3.306
QuACN – An R Package for Analyzing Complex Biological Networks Quantitatively
Müller L., Kugler K., Dander A., Graber A., Dehmer M.
Bioinformatics, Vol.27 ( 1), 2010, 140-141
170 Link
Bib
Impact Factor:
4.621
On Quantitative Network Complexity Measures for Business Process Models
Borgert S., Dehmer M., Aitenbichler E
Acta Universitatis Apulensis, 2009, accepted
171 Bib
Information Measures to Characterize Weighted Chemical Structures
Dehmer M., Borgert S.
Acta Universitatis Apulensis, 2009, accepted
172 Link
Bib
A Large Scale Analysis of Information-Theoretic Network Complexity Measures Using Chemical Structures
DehmerM., Barbarini N., Varmuza K., Graber A.
PLoS ONE, Vol. 4 (12), 2009, e8057
173 Link
Bib
Impact Factor:
4.351
On Entropy-based Molecular Descriptors: Statistical Analysis of Real and Synthetic Chemical Structures
Dehmer M., Varmuza K., Borgert S., Emmert-Streib F.
Journal of Chemical Information and Modelling, Vol. 49, 2009, 1655-1663
174 Link
Bib
Impact Factor:
3.882
Characterizing Classes of Structured Objects by Means of Information Inequalities
Dehmer M., Borgert S.
Cybernetics and Systems, Vol. 40 (3), 2009, 249-258
175 Link
Bib
Impact Factor:
0.78
Hierarchical coordination of periodic genes in the cell cycle of Saccharomyces cerevisiae
Emmert-Streib F., Dehmer M.
BMC Systems Biology, 2009, Vol. 3 (76)
176 Link
Bib
Impact Factor:
4.06
Predicting cell cycle regulated genes by causal interactions
Emmert-Streib F., Dehmer M.
PLoS ONE, Vol. 4 (8), 2009, e6633
177 Link
Bib
Impact Factor:
4.351
Information Processing in the Transcriptional Regulatory Network of Yeast: Functional Robustness
Emmert-Streib F., Dehmer M.
BMC Systems Biology, 2009, Vol. 3 (35)
178 Link
Bib
Impact Factor:
4.06
Fault Tolerance of Information Processing in Gene Networks
Emmert-Streib F., Dehmer M.
Physica A: Statistical Mechanics and its Applications, Vol. 338 (4), 2009, 541-548
179 Link
Bib
Impact Factor:
1.562
Information Inequalities for Graphs
Dehmer M., Borgert S., Bonchev D.
Symmetry: Culture and Science, 19(4), 2008, p. 269-284
180 Link
Bib
Structural Information Content of Networks: Graph Entropy based on Local Vertex Functionals
Dehmer M., Emmert-Streib F.
Computational Biology and Chemistry, Vol. 32 (2), 2008, 131-138
181 Link
Bib
Impact Factor:
1.37
The Structural Information Content of Chemical Networks
Dehmer M., Emmert-Streib F.
Zeitschrift für Naturforschung A, Vol. 63(3-4), 2008, 155-158
182 Link
Bib
Impact Factor:
0.63
Entropy Bounds for Hierarchical Molecular Networks
Dehmer M., Borgert S., Emmert-Streib F.
PLoS ONE, Vol. 3 (8), 2008, e3079
183 Link
Bib
Impact Factor:
4.351
Information-theoretic Concepts for the Analysis of Complex Networks
Dehmer M.
Applied Artificial Intelligence, Vol. 22, 2008, 684-706
184 Link
Bib
Impact Factor:
0.58
Information Processing in Complex Networks: Graph Entropy and Information Functionals
Dehmer M.
Applied Mathematics and Computation, Vol. 201 (1-2), 2008, 82-94
185 Link
Bib
Impact Factor:
1.6
A Novel Method for Measuring the Structural Information Content of Networks
Dehmer M.
Cybernetics and Systems, Vol. 39 (8), 2008, 825-842
186 Link
Bib
Impact Factor:
0.78
A Comparative Analysis of Multidimensional Features of Objects Resembling Sets of Graphs
Dehmer M., Emmert-Streib F., Gesell T.
Applied Mathematics and Computation, Vol. 196 (1), 2008, 221-235
187 Link
Bib
Impact Factor:
1.6
Robustness in Scale-free Networks: Comparing Directed and Undirected Networks
Emmert-Streib F., Dehmer M.
International Journal of Modern Physics C, Vol. 19 (5), 2008, 717-726
188 Link
Bib
Impact Factor:
1.022
On Bounds for the Zeros of Univariate Polynomials
Dehmer M., Kilian J.
International Journal of Applied Mathematics and Computer Science, Vol. 4 (2), 2007, 118-123
189 Link
Bib
Impact Factor:
0.684
Structural Similarity of Directed Universal Hierarchical Graphs: A low Computational Complexity Approach
Dehmer M., Emmert-Streib F.
Applied Mathematics and Computation, Vol. 194 (1), 2007, 7-20
190 Link
Bib
Impact Factor:
1.6
A new Method of Measuring Similarity for a Special Class of Directed Graphs
Dehmer M., Mehler A.
Tatra Mountains Mathematical Publications, 2007, Vol. 36, 39-59
191 Bib
Comparing Large Graphs Efficiently by Margins of Feature Vectors
Dehmer M., Emmert-Streib F.
Applied Mathematics and Computation, Vol. 188 (2), 2007, 1699-1710
192 Link
Bib
Impact Factor:
1.6
Nonlinear Time Series Prediction based on a Power-Law Noise Model
Emmert-Streib F., Dehmer M.
International Journal of Modern Physics C, Vol. 18 (12), 1839-1852, 2007
193 Link
Bib
Impact Factor:
1.022
Information Theoretic Measures of UHG Graphs with Low Computational Complexity
Emmert-Streib F., Dehmer M.
Applied Mathematics and Computation, Vol. 190 (2), 2007, 1783-1794
194 Link
Bib
Impact Factor:
1.6
Topological Mappings between Graphs, Trees and Generalized Trees
Emmert-Streib F., Dehmer M.
Applied Mathematics and Computation, Vol. 186 (2), 2007, 1326-1333
195 Link
Bib
Impact Factor:
1.124
A Similarity Measure for Graphs with low Computational Complexity
Dehmer M., Emmert-Streib F., Kilian J.
Applied Mathematics and Computation, Vol. 182 (1), 2006, 447-459
196 Link
Bib
Impact Factor:
1.124
Perspectives of Graph Mining Techniques
Dehmer M., Emmert-Streib F. Wolkenhauer O.
Rostocker Informatik Berichte, Vol. 30 (2), 2006, 47-57
197 Link
On the Location of Zeros for complex Polynomials
Dehmer M.
Journal of Inequalities in Pure and Applied Mathematics, Vol. 7 (1), 2006
198 Link
Bib
Measuring the Structural Similarity of Web-based Documents: A novel Approach
Dehmer M., Emmert-Streib F., Mehler A., Kilian J.
International Journal of Computational Intelligence, Vol. 3 (1), 2006, 1-7
199 Link
Bib
Data Mining-Konzepte und graphentheoretische Methoden zur Analyse web-basierter Daten
Dehmer M.
Journal of Computational Linguistics and Language Technology, 2005, 113-143
200 Link
Bib
Ranking Genes from DNA Microarray Data of Cervical Cancer by a local Tree Comparison
Emmert-Streib F., Dehmer M., Liu J., Mühlhäuser M.
International Journal of Biomedical Science, Vol. 1 (1), 2005, 17-22
201 Link
Bib

Peer-Reviewed Conference Publications

Aspects of Quantitative Analysis of Transportation Networks, In: Proceedings of Future Security, Berlin, Germany
Dehmer M., Nistor M. S., Schmitz W., Neubecker K. A
2015
202
Exploring Data Analysis Techniques for Threat Estimation, In: Proceedings of Future Security, Berlin, Germany
Dehmer M., Lechleuthner A., Mudimu O. A., Pickl S.
2015
203
A Survey on Statistical Network Analysis, In: Proceedings of the 2015 Conference on Foundations in Computer Science, Las Vegas, USA
Dehmer M., Pickl S., Wang Z.
Vol. 2, 2015
204
Personalized Medicine by Means of Complex Networks - A Big Data Challenge, In: Proceedings of the Workshop Big Data, Big Data und Datenschutz – Gegenseitige Herausforderungen, Editors: Weber R. H., Thouvenin F.
Dehmer M., Holzinger A., Emmert-Streib F.
Zürich 2014, Switzerland
205 Link
Structural Analysis of Molecular Networks: AMES Mutagenicity, In: Proceedings of the 2011 Conference on Bioinformatics & Computational Biology (BIOCOMP’11)
Müller L. A. J., Kugler K. G., Dehmer M.
Las Vegas, USA, Vol. 1, 2011, 196-201
206
Analysis of Metabolic Networks: On the Similarity of the Three Domains of Life, In: Proceedings of the 2011 Conference on Bioinformatics & Computational Biology (BIOCOMP’11)
Kugler K. G., Müller L. A. J., Dehmer M.
Las Vegas, USA, Vol. 2, 2011, 361-366
207
A Novel Majority Vote Count Algorithm for Integrative Analysis of Association Networks, In: Proceedings of the 2010 Conference on Bioinformatics & Computational Biology (BIOCOMP’10)
Kugler K. G., Müller L. A. J., Gallasch R. K., Graber A., Dehmer M.
Las Vegas, USA, 2010, 62-67
208 Bib
A Network-based Approach to Classify Disease Stages of Prostate Cancer Using Quantitative Network Measures, In: Proceedings of the 2010 Conference on Bioinformatics & Computational Biology (BIOCOMP’10)
Müller L. A. J., Kugler K. G., Dander A., Graber A., Dehmer M.
Las Vegas, USA, 2010, 55-61
209 Bib
A Comparative Study of Complexity Measure to Analyze Business Process Models, In: Proceedings of UICS’2009
Borgert S., Dehmer M., Aitenbichler E.
International Symposium on Understanding Intelligent and Complex Systems, 2009
210 Bib
On the Information Content of Weighted Chemical Structures, In: Proceedings of UICS’2009
Dehmer M., Borgert S.
International Symposium on Understanding Intelligent and Complex Systems, 2009
211 Bib
Towards Network Complexity. In: Proceedings of COMPLEX’2009 - The First International Conference on Complex Sciences: Theory and Applications, Springer
Dehmer M., Emmert-Streib F.
Lecture Notes, Vol. 4, 2009, 707-714
212 Bib
Towards a Partitioning of the Input Space of Boolean Networks: Variable Selection using Bagging. In: Proceedings of COMPLEX’2009 - The First International Conference on Complex Sciences: Theory and Applications
Emmert-Streib F., Dehmer M.
Springer, Lecture Notes, Vol. 4, 2009, 715-723
213 Bib
Organizational Structure of the Transcriptional Regulatory Network of Yeast: Periodic Genes. In: Proceedings of COMPLEX’2009 - The First International Conference on Complex Sciences: Theory and Applications
Emmert-Streib F., Dehmer M.
Springer, Lecture Notes, Vol. 4 2009, 140-148
214 Bib
Network Classes and Graph Complexity Measures. In: First International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems, Medical Applications of the Complex Systems, Biomedical Computing (CANS'08)
Dehmer M., Borgert S., Emmert-Streib F.
Petru Maior University Press, Targu Mures, Romania, 2008, p. 77-84
215 Bib
Investigating Network Classes by Measuring Their Complexity. In: Complexity in artificial and natural systems
Dehmer M., Borgert S., Emmert-Streib F.
Petru Maior University Press, Targu Mures, Romania, 2008, p. 100-107
216 Bib
Relations Between the Topological Complexities of Complex Networks, In: Proceedings of the 2008 International Conference on Machine Learning: Models, Technologies & Applications (MLMTA’08)
Dehmer M.
Las Vegas, USA, 2008
217 Bib
Towards a channel capacity of communication networks. In: First International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems, Medical Applications of the Complex Systems, Biomedical Computing (CANS'08)
Emmert-Streib F., Dehmer M.
Petru Maior University Press, Targu Mures, Romania, 2008, p. 94-99
218 Bib
Quantifying Communication Capabilities of Networks. In: Complexity in artificial and natural systems
Emmert-Streib F., Dehmer M.
Petru Maior University Press, Romania, 2008, p. 115-119
219 Bib
Graph-theoretical Characterizations of Generalized Trees, Proceedings of the 2007 International Conference onMachine Learning: Models, Technologies & Applications (MLMTA’07)
Dehmer M., Mehler A., Emmert-Streib F.
Las Vegas, USA, 2007
220 Bib
A Graph Mining Technique for Automatic Classification of Web Genre Data, In: Proceedings of the 2007 International Conference on Machine Learning: Models, Technologies & Applications (MLMTA’07)
Dehmer M., Emmert-Streib F., Zulauf A.
Las Vegas, USA, 2007
221 Bib
Global information processing in gene networks: Fault Tolerance, In: Proceedings of the bio-inspired models of network, information, and computing systems
Emmert-Streib F., Dehmer M.
Bionetics 2007, 326-329
222 Bib
Optimization Procedure for Predicting Nonlinear Time Series based on a non-Gaussian Noise Model, MICAI 2007: Advances in Artificial Intelligence, Lecture Notes in Computes Science (LNCS)
Emmert-Streib F., Dehmer M.
Lecture Notes in Artificial Intelligence, Vol. 4827, 2007, 540-549
223 Bib
Aisles through the Category Forest - Utilising the Wikipedia Category System for Corpus Building in Machine Learning
Gleim R., Mehler A., Dehmer M., Pustylnikov O.
Proceedings of the 3rd International Conference on Web Information Systems and Technologies (WEBIST ’07), 2007, 142-149
224 Bib
Theoretical Bounds for the Number of inferable Edges in sparse Random Networks, Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, Gene Networks: Theory and Application
Emmert-Streib F., Dehmer M.
Workshop at BIOCOMP’06, Las Vegas, USA, 2006, 472-476
225 Bib
Influence of Prior Information on the Reconstruction of the Yeast Cell Cycle from Microarray Data, Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, Gene Networks: Theory and Application
Emmert-Streib F., Dehmer M., Seidel C.
Workshop at BIOCOMP’06, Las Vegas, USA, 2006, 477-482
226 Bib
Web Corpus Mining by Instance of Wikipedia, Proceedings of the EACL 2006 Workshop on Web as Corpus
Gleim R., Mehler A., Dehmer M.
Trento, Italy, 2006, 67-74
227 Bib
Towards Clustering of web-based Document Structures
Dehmer M., Emmert-Streib F., Kilian J., Zulauf A.
VIII. International Conference on Enformatika, Systems Sciences and Engineering, Krakow, Poland, Enformatika 10, 2005, 304-310
228 Bib
Application of a Similarity Measure for Graphs to web-based Documents, VI. International Conference on Enformatika, Systems Sciences and Engineering
Dehmer M., Emmert-Streib F., Mehler A., Kilian J., Mühlhäuser M.
Budapest, Hungary, Enformatika 8, 2005, 77-81
229 Bib
First Studies of the Influence of Single Gene Perturbations on the Inference of Genetic Networks
Emmert-Streib F., Dehmer M.
VIII. International Conference on Enformatika, Systems Sciences and Engineering, Krakow, Poland, Enformatika 10, 2005, 65-69
230 Bib
Influence of Noise on the Inference of Dynamic Bayesian Networks from Short Time Series
Emmert-Streib F., Dehmer M., Bakir H.G., Mühlhäuser M.
VIII. International Conference on Enformatika, Systems Sciences and Engineering, Krakow, Poland, Enformatika 10, 2005, 70-74
231 Bib
A Systems Approach to Gene Ranking for DNA Microarray Data for Cervical Cancer
Emmert-Streib F., Dehmer M., Liu J., Mühlhäuser M.
VI. International Conference on Enformatika, Sciences and Engineering, Budapest, Hungary, Enformatika 8, 2005, 82-87
232 Bib
A Systems Biology approach for the classification of DNA Microarray Data, Applications of Statistical and Machine Learning. Methods in Bioinformatics
Emmert-Streib F., Dehmer M.
Proceedings of BIT 2005 - Bioinformatics Workshop,Torun, Poland, September 15-16, 2005
233 Bib
Classification of large Graphs by a local Graph Decomposition, Proceedings of the 2005 International Conference on Data Mining (DMIN’05)
Emmert-Streib F., Dehmer M., Kilian J.
Las Vegas, USA, Editors: Arabnia H. R., Scime A., 2005, 200-207
234 Bib
Towards Structure-Sensitive Hypertext Categorization. In: Spiliopoulou M., Kruse R., Borgelt C., Nürnberger A., Gaul W. (Editors)
Mehler A., Gleim R., Dehmer M.
Proceedings of the 29th Annual Conference of the German Classification Society, Universität Magdeburg, 2005, Berlin, New York: Springer, 406-413
235 Bib
Zur automatischen Klassifikation von Webgenres, In: Fisseni B., Schmitz H. C., Schröder B., Wagner P. (Editors): Sprachtechnologie, mobile Kommunikation und linguistische Ressourcen
Mehler A., Dehmer M., Gleim R.
Beiträge zur GLDV-Tagung 2005, Universität Bonn, Peter Lang Publishing, 158-174
236 Bib
Towards logical Hypertext Structure - A graph-theoretic Perspective
Mehler A., Dehmer M., Gleim R.
Proceedings of I2CS’04, Lecture Notes, Berlin, New York: Springer, 2005, 136-150
237 Bib
Aspekte der Kategorisierung von Webseiten
Dehmer M., Mehler A., Gleim R.
Lecture Notes in Informatics, Springer, Jahrestagung der Gesellschaft für Informatik, Berlin, Germany, 2004, 39-43
238 Bib

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