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 |
|