Journal Articles

2016, submitted
[118]Can genome-scale gene regulatory networks be experimentally validated? Differences between biological and clinical validations (F. Emmert-Streib, B. Haibe-Kains, S. Moutari, J. McCann, P. Mullan, G. Glazko, M. Dehmer, C. Campbell), In , volume , 2016, submitted. [bibtex]
[117]Smoking and increased age in hematuria patients significantly confound the accuracy of classifiers for the diagnosis of urothelial cancer (R. de Matos Simoes, F. Emmert-Streib, B. Duggan, M.W. Ruddock, D. O'Rourke, H.F. O'Kane, C.H. Reid, K.E. Williamson), In , volume , 2016, submitted. [bibtex]
2016, revised
[116]A Review of Connectivity Mapping and Computational Approaches in Pharmacogenomics (A. Musa, L. Ghoraie, S-D. Zhang, O. Yli-Harja, M. Dehmer, B. Haibe-Kains, F. Emmert-Streib), In Briefings in Bioinformatics, volume , 2016, revised. [bibtex]
2016
[115] Against Dataism and for Data Sharing of Big Biomedical and Clinical Data with Research Parasites (F Emmert-Streib, M Dehmer, O Yli-Harja), In Frontiers in Genetics, volume 7, 2016. [bibtex] [pdf] [doi]
[114] Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules (S. Tripathi, S. Moutari, M. Dehmer, F. Emmert-Streib), In BMC Bioinformatics, volume 17, 2016. [bibtex] [pdf] [doi]
[113] The Need for Formally Defining 'Modern Medicine' by Means of Experimental Design (F. Emmert-Streib, L. Tuomisto, O. Yli-Harja), In Frontiers in Genetics, volume 7, 2016. [bibtex] [pdf] [doi]
[112]samExploreR: Exploring reproducibility and robustness of RNA-seq results based on SAM files (A. Stupnikov, S. Tripathi, R. de Matos Simoes, D. McArt, M. Salto-Tellez, G. Glazko, F. Emmert-Streib), In Bioinformatics, volume , 2016. [bibtex]
[111]Fifty Years of Graph Matching, Network Alignment and Network Comparison (F. Emmert-Streib, M. Dehmer, Y. Shi), In Information Sciences, volume 346?347, 2016. [bibtex]
[110]The process of analyzing data is the emergent feature of data science (F. Emmert-Streib, S. Moutari, M. Dehmer), In Frontiers in Genetics, volume 7, 2016. [bibtex]
[109]A BRCA1 deficient, NF$\kappa$B driven immune signal predicts good outcome in Triple Negative breast cancer (N. Buckley, P. Haddock, R. De Matos Simoes, E. Parkes, G. Irwin, F. Emmert-Streib, S. McQuaid, R. Kennedy, P. Mullan), In Oncotarget, volume 7, 2016. [bibtex]
[108]Gene set analysis approaches for RNA-seq data: performance evaluation and application guideline (Y. Rahmatallah, F. Emmert-Streib, G. Glazko), In Briefings in Bioinformatics, volume 17, 2016. [bibtex] [doi]
2015, submitted
[107]The evolution of modularity in protein networks: A second-order gene duplication model (F. Emmert-Streib, G.V. Glazko), In , 2015, submitted. [bibtex]
2015
[106] Discrimination Power of Polynomial-Based Descriptors for Graphs by Using Functional Matrices (M. Dehmer, F. Emmert-Streib, Y. Shi, M. Stefu, S. Tripathi), In PLoS ONE, Public Library of Science, volume 10, 2015. [bibtex] [pdf] [doi]
[105]Urinary Thrombomodulin Levels Were Significantly Higher Following Occupational Exposure to Chemicals, In The Presence of Dipstick Protein, But Not in the Presence of Dipstick Blood (MW Ruddock, R de Matos Simoes, DO Rourke, B Duggan, M et al. Stevenson), In Biology and Medicine, volume 7, 2015. [bibtex]
[104] Graph distance measures based on topological indices revisited (M. Dehmer, F. Emmert-Streib, Y. Shi), In Applied Mathematics and Computation, volume 266, 2015. () [bibtex] [pdf] [doi]
[103]Entropy of weighted graphs with Randi\'c weights (Z. Chen, M. Dehmer, F. Emmert-Streib, Y. Shi), In Entropy, volume 17, 2015. [bibtex]
[102]Using shRNA experiments to validate gene regulatory networks (C. Olsen, K. Fleming, N. Prendergast, R. Rubio, F. Emmert-Streib, G. Bontempi, J. Quackenbush, B. Haibe-Kains), In Genomics Data, volume 4, 2015. () [bibtex]
[101]Biological networks: The microscope of the 21st century? (F. Emmert-Streib, M. Dehmer), In Frontiers in Genetics, volume 6, 2015. [bibtex]
[100]Effects of subsampling on characteristics of RNA-seq data from triple negative breast cancer patients (A. Stupnikov, G. Glazko, F. Emmert-Streib), In Chinese Journal of Cancer, volume 34, 2015. [bibtex]
[99]Comprehensive molecular pathology analysis of small bowel adenocarcinoma reveals novel targets with potential clinical utility (M. Alvi, D. McArt, P. Kelly, M-A Fuchs, M. Alderdice, C. McCabe, V. Bingham, C. McGready, S. Tripathi, F. Emmert-Streib, M. Loughrey, S. McQaid, P. Maxwell, P. Hamilton, J. James, R. Wilson, M. Salto-Tellez), In Oncotarget, volume 6, 2015. [bibtex]
[98]Computational Cancer Biology: Education is a key to many locks (F. Emmert-Streib, S-D Zhang, P. Hamilton), In BMC Cancer, volume 15, 2015. [bibtex]
[97]Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data (Dalleau S. de Matos Simoes, K.E. Williamson, F. Emmert-Streib), In BMC Systems Biology, volume 9, 2015. [bibtex]
[96]Graph Distance Mesures Based on Topological Indices Revisited (Y. Shi, F. Emmert-Streib, M. Dehmer), In Applied Mathematics and Computation, volume 266, 2015. [bibtex]
[95]Structural Analysis of Treatment Cycles Representing Transitions Between Nursing Organizational Units Inferred from Diabetes (M. Dehmer, Z. Kurt, F. Emmert-Streib, C. Them, E. Schulc, S. Hofer), In PLoS ONE, volume 10, 2015. [bibtex]
2014
[94]Inference and validation of predictive gene networks from biomedical literature and gene expression data (C Olsen, K. Fleming, N. Prendergast, R. Rubio, F Emmert-Streib, G. Bontempi, B. Haibe-Kains, J. Quackenbush), In Genomics, volume 103, 2014. [bibtex]
[93]NetBioV: An R package for visualizing large-scale data in Network Biology (S. Tripathi, M. Dehmer, F. Emmert-Streib), In Bioinformatics, 2014. [bibtex]
[92]Dry computational approaches for wet medical problems (F. Emmert-Streib, S-D Zhang, P. Hamilton), In Journal of Translational Medicine, volume 12, 2014. [bibtex]
[91]The gene regulatory network for breast cancer: Integrated regulatory landscape of cancer hallmarks (F. Emmert-Streib, R. de Matos Simoes, P. Mullan, B. Haibe-Kains, M. Dehmer), In Front. Genet., volume 5, 2014. [bibtex]
[90]Report from the 2nd Summer School in Computational Biology organized by the Queen's University of Belfast (F. Emmert-Streib, S-D Zhang, P. Hamilton), In Genomics Data, volume 2, 2014. [bibtex]
[89]Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics (B. Haibe-Kains, F. Emmert-Streib), In Front. Genet., volume 5, 2014. [bibtex]
[88]Probabilistic Inequalities for Evaluating Structural Network Measures (V. Kraus, M. Dehmer, F. Emmert-Streib), In Information Sciences, volume 288, 2014. [bibtex]
[87]Untangling statistical and biological models to understand network inference: The need for a genomics network ontology (F. Emmert-Streib, M. Dehmer, B. Haibe-Kains), In Front. Genet., volume 5, 2014. [bibtex]
[86]A Computational Approach to Construct a Multivariate Complete Graph Invariant (M. Dehmer, F. Emmert-Streib, M. Grabner), In Information Sciences, volume 260, 2014. [bibtex]
[85]Interrelations of Graph Distance Measures Based on Topological Indices (M. Dehmer, F. Emmert-Streib, Y. Shi), In PLoS One, volume 9, 2014. [bibtex]
[84]Entropy bounds for dendrimers (Z. Chen, M. Dehmer, F. Emmert-Streib, Y. Shi), In Applied Mathematics and Computation, volume 242, 2014. [bibtex]
[83]Enhancing our understanding of ways to analyze metagenomes (F. Emmert-Streib), In Front. Genet., volume 5, 2014. [bibtex]
[82]Gene regulatory networks and their applications: Understanding biological and medical problems in terms of networks (F. Emmert-Streib, M. Dehmer, B. Haibe-Kains), In Front. Cell Dev. Biol., volume 2, 2014. [bibtex]
[81]Functional and genetic analysis of the colon cancer network (F. Emmert-Streib, R. de Matos Simoes, G Glazko, S. McDade, B. Haibe-Kains, A. Holzinger, M. Dehmer, F. Campbell), In BMC Bioinformatics, volume 15, 2014. [bibtex]
[80]Relevance of different prior knowledge sources for inferring gene interaction networks (C. Olsen, G. Bontempi, F. Emmert-Streib, J. Quackenbush, B. Haibe-Kains), In Front. Genet., volume 5, 2014. [bibtex]
[79]Comparative evaluation of gene set analysis approaches for RNA-Seq data (Y. Rahmatallah, F. Emmert-Streib, G. Glazko), In BMC Bioinformatics, volume 15, 2014. [bibtex]
[78]Netmes: Assessing gene network inference algorithms by ensemble network-based measures (A. Gokmen, Z. Kurt, M. Dehmer, F. Emmert-Streib), In Evolutionary Bioinformatics, volume 10, 2014. [bibtex]
[77]Gene Sets Net Correlations Analysis (GSNCA): A multivariate differential coexpression test for gene sets (Y. Rahmatallah, F. Emmert-Streib, G. Glazko), In Bioinformatics, volume 30, 2014. [bibtex]
2013
[76]B-cell lymphoma gene regulatory networks: Biological consistency among inference methods (R. de Matos Simoes, M. Dehmer, F. Emmert-Streib), In Front. Genet., volume 4, 2013. [bibtex]
[75]Enhancing systems medicine beyond genotype data by dynamic patient signatures: Having information and using it too (F. Emmert-Streib, M. Dehmer), In Front. Genet., volume 4, 2013. [bibtex]
[74]Learning Systems Biology: Conceptual Considerations Toward a Web-based Learning Platform (F. Emmert-Streib, M. Dehmer, F. Lyardet), In Education Sciences, volume 3, 2013. [bibtex]
[73]Ensuring the statistical soundness of competitive gene set approaches: gene filtering and genome-scale coverage are essential (S. Tripathi, G.V. Glazko, F. Emmert-Streib), In Nucleic Acids Research, volume 6, 2013. [bibtex]
[72]Personalized medicine: Has it started yet? A reconstruction of the early history (F. Emmert-Streib), In Front Genet, volume 3, 2013. [bibtex]
[71]Influence of the experimental design of gene expression studies on the inference of gene regulatory networks: Environmental factors (F. Emmert-Streib), In PeerJ, volume 1, 2013. [bibtex]
[70]The human disease network: Opportunities for classification, diagnosis and prediction of disorders and disease genes (F. Emmert-Streib, S. Tripathi, R. de Matos Simoes, A.F. Hawwa, M. Dehmer), In Systems Biomedicine, volume 1, 2013. [bibtex]
[69]Interfacing cellular networks of \textitS. cerevisiae and \textitE. coli: Connecting dynamic and genetic information (R. de Matos Simoes, M. Dehmer, F. Emmert-Streib), In BMC Genomics, volume 14, 2013. [bibtex]
[68][COMMODE] A Large-Scale Database of Molecular Descriptors using compounds from PubChem (A. Dander, L.A.J. Mueller, R. Gallasch, S. Pabinger, F. Emmert-Streib, A. Graber, M. Dehmer), In Source Code for Biology and Medicine, volume 8, 2013. [bibtex]
[67]Quantitative Network Measures as Biomarkers for Classifying Prostate Cancer Disease States: A Systems Approach to Diagnostic Biomarkers (M. Dehmer, L.A.J. Mueller, F. Emmert-Streib), In PLoS ONE, volume 8, 2013. [bibtex]
[66]Large-Scale Evaluation of Molecular Descriptors by Means of Clustering (M. Dehmer, F. Emmert-Streib, S. Tripathi), In PLoS ONE, volume 8, 2013. [bibtex]
[65]Structural properties and complexity of a new network class: Collatz step graphs (F. Emmert-Streib), In PLoS ONE, volume 8, 2013. [bibtex]
[64]An efficient heuristic approach to detecting graph isomorphism based on combinations of highly discriminating invariants (M. Dehmer, M. Grabner, A. Mowshowitz, F. Emmert-Streib), In Advances in Computational Mathematics, volume 39, 2013. [bibtex]
[63]Collectives of diagnostic biomarkers identify high-risk subpopulations of hematuria patients: exploiting heterogeneity in large-scale biomarker data (F. Emmert-Streib, F. Abogunrin, R. de Matos Simoes, B. Duggan, M.W. Ruddock, C.N. Reid, O. Roddy, L. White, H.F. O'Kane, N.H. Anderson, D. O'Rourke, T. Nambirajan, K.E. Williamson), In BMC Medicine, volume 11, 2013. [bibtex]
[62]Network Nursing: Connections between Nursing and Complex Network Science (M. Dehmer, W.O. Hackl, F. Emmert-Streib, W. Schulc, C. Them), In International Journal of Nursing Knowledge, volume 24, 2013. [bibtex]
2012
[61]Assessment Method for a Power Analysis to Identify Differentially Expressed Pathways (S. Tripathi, F. Emmert-Streib), In PLoS ONE, Public Library of Science, volume 7, 2012. [bibtex]
[60]Statistical inference and reverse engineering of gene regulatory networks from observational expression data (F. Emmert-Streib, G.V. Glazko, Gökmen Altay, Ricardo de Matos Simoes), In Frontiers in Genetics, volume 3, 2012. [bibtex]
[59]Exploring statistical and population aspects of network complexity (F. Emmert-Streib, M. Dehmer), In PLoS ONE, volume 7, 2012. [bibtex]
[58]Limitations of the gene duplication model: Evolution of modules in protein interaction networks (F. Emmert-Streib), In PLoS ONE, volume 7, 2012. [bibtex]
[57]A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data (F. Emmert-Streib, R. de Matos Simoes, S. Tripathi, G.V. Glazko, M. Dehmer), In Scientific Reports, volume 2, 2012. [bibtex]
[56]Detecting sequence dependent transcriptional pauses from RNA and protein number time series (F. Emmert-Streib, A. Häkkinen, A.S. Ribeiro), In BMC Bioinformatics, volume 13, 2012. [bibtex]
[55]Harnessing the complexity of gene expression data from cancer: From single gene to structural pathway methods (F. Emmert-Streib, S. Tripathi, R. de Matos Simoes), In Biology Direct, volume 7, 2012. [bibtex]
[54]An efficient heuristic approach to detecting graph isomorphism based on combinations of highly discriminating invariants (M. Dehmer, M. Grabner, A. Mowshowitz, F. Emmert-Streib), In Advances in Computational Mathematics, 2012. [bibtex]
[53]Bagging statistical network inference from large-scale gene expression data (R. de Matos Simoes, F. Emmert-Streib), In PLoS ONE, volume 7, 2012. [bibtex]
[52]Standardisation of diagnostic biomarker concentrations in urine; the hematuria caveat (Reid C.N., M. Stevenson, Abogunrin F., Ruddock M.W., Emmert-Streib F., Lamont J.V., Williamson K.E.), In PLoS ONE, volume 7, 2012. [bibtex]
[51]Organizational structure of the peripheral gene regulatory network in B-cell lymphoma (R. de Matos Simoes, S. Tripathi, F. Emmert-Streib), In BMC Systems Biology, volume 6, 2012. [bibtex]
[50]Universal construction mechanism for networks from one-dimensional symbol sequences (F. Emmert-Streib), In Applied Mathematics and Computation, volume 219, 2012. [bibtex]
[49]Evolutionary dynamics of the spatial Prisoner's Dilemma with self-inhibition (F. Emmert-Streib), In Applied Mathematics and Computation, volume 218, 2012. [bibtex]
[48]Gene set analysis for self-contained tests: complex null and specific alternative hypotheses (Y. Rahmatallah, F. Emmert-Streib, G. Glazko), In Bioinformatics, volume 28, 2012. [bibtex]
2011
[47]Pathway analysis of expression data: deciphering functional building blocks of complex diseases (F. Emmert-Streib, G.V. Glazko), In PLoS Computational Biology, volume 7, 2011. [bibtex]
[46]Influence of Statistical Estimators of Mutual Information and Data Heterogeneity on the Inference of Gene Regulatory Networks (R. de Matos Simoes, F. Emmert-Streib), In PLoS ONE, volume 6, 2011. [bibtex]
[45]Structural Influence of gene networks on their inference: Analysis of C3NET (G. Altay, F. Emmert-Streib), In Biology Direct, volume 6, 2011. [bibtex]
[44]Structural Measures for Network Biology Using QuACN (L. Mueller, K. Kugler, A. Graber, F. Emmert-Streib, M. Dehmer), In BMC Bioinformatics, volume 12, 2011. [bibtex]
[43]Network Biology: A direct approach to study biological function (F. Emmert-Streib, G.V. Glazko), In Wiley Interdiscip Rev Syst Biol Med, volume 3, 2011. [bibtex]
[42]Networks for Systems Biology: Conceptual Connection of Data and Function (F. Emmert-Streib, M. Dehmer), In IET Systems Biology, volume 5, 2011. [bibtex]
[41]Parametric construction of episode networks from pseudoperiodic time series based on mutual information (F. Emmert-Streib), In PLoS ONE, volume 6, 2011. [bibtex]
[40]Connections between Classical and Parametric Network Entropies (M. Dehmer, A. Mowshowitz, F. Emmert-Streib), In PLoS ONE, volume 6, 2011. [bibtex]
2010
[39]Local network-based measures to assess the inferability of different regulatory networks (F. Emmert-Streib, G. Altay), In IET Systems Biology, volume 4, 2010. [bibtex]
[38]Statistic Complexity: Combining Kolmogorov Complexity with an Ensemble Approach (F. Emmert-Streib), In PLoS ONE, volume 5, 2010. [bibtex]
[37]Influence of the Time Scale on the Construction of Financial Networks (F. Emmert-Streib, M. Dehmer), In PLoS ONE, volume 5, 2010. [bibtex]
[36]Novel Information Measure for the Analysis of Chemical Graphs (M. Dehmer, F. Emmert-Streib, Y.R. Tsoy, K. Varmuza), In Bulletin of the Tomsk Polytechnic University, volume 316, 2010. [bibtex]
[35]Identifying Critical Financial Networks of the DJIA: Towards a Network-based Index (F. Emmert-Streib, M. Dehmer), In Complexity, volume 16, 2010. [bibtex]
[34]Revealing differences in gene network inference algorithms on the network-level by ensemble methods (G. Altay, F. Emmert-Streib), In Bioinformatics, volume 26, 2010. [bibtex]
[33]Inferring the conservative causal core of gene regulatory networks (G. Altay, F. Emmert-Streib), In BMC Systems Biology, volume 4, 2010. [bibtex]
[32]Exploratory analysis of spatiotemporal patterns of cellular automata by clustering compressibility (F. Emmert-Streib), In Physical Review E, volume 81, 2010. [bibtex]
2009
[31]Unite and conquer: univariate and multivariate approaches for finding differentially expressed gene sets (G.V. Glazko, F. Emmert-Streib), In Bioinformatics, volume 25, 2009. [bibtex]
[30]Predicting cell cycle regulated genes by causal interactions (F. Emmert-Streib, M. Dehmer), In Plos One, volume 4, 2009. [bibtex]
[29]Hierarchical coordination of periodic genes in the cell cycle of it Saccharomyces cerevisiae (F. Emmert-Streib, M. Dehmer), In BMC Systems Biology, volume 3, 2009. [bibtex]
[28]On Entropy-based Molecular Descriptors: Statistical Analysis of Real and Synthetic Chemical Structures (M. Dehmer, K. Varmuza, S. Borgert, F. Emmert-Streib), In Journal of Chemical Information and Modeling, volume 49, 2009. [bibtex]
[27]Information Processing in the Transcriptional Regulatory Network of Yeast: Functional Robustness (F. Emmert-Streib, M. Dehmer), In BMC Systems Biology, volume 3, 2009. [bibtex]
[26]Fault Tolerance of Information Processing in Gene Networks (F. Emmert-Streib, M. Dehmer), In Physica A: Statistical Mechanics and its Applications, volume 388, 2009. [bibtex]
2008
[25]The Structural Information Content of Chemical Networks (M. Dehmer, F. Emmert-Streib), In Zeitschrift für Naturforschung A, volume 63a, 2008. [bibtex]
[24]Entropy Bounds for Hierarchical Molecular Networks (M. Dehmer, S. Borgert, F. Emmert-Streib), In PLoS ONE, volume 3, 2008. [bibtex]
[23]Robustness in Scale-free Networks: Comparing Directed and Undirected Networks (F. Emmert-Streib, M. Dehmer), In International Journal of Modern Physics C, volume 19, 2008. [bibtex]
[22]Structural Information Content of Networks: Graph Entropy based on Local Vertex Functionals (M. Dehmer, F. Emmert-Streib), In Computational Biology and Chemistry, volume 32, 2008. [bibtex]
[21]A Comparative Analysis of Multidimensional Features of Objects Resembling Sets of Graphs (M. Dehmer, F. Emmert-Streib, T. Gesell), In Applied Mathematics and Computation, volume 196, 2008. [bibtex]
2007
[20]Information Theoretic Measures of UHG Graphs with Low Computational Complexity (F. Emmert-Streib, M. Dehmer), In Applied Mathematics and Computation, volume 190, 2007. [bibtex]
[19]A Topological Algorithm for Identification of Structural Domains of Proteins (F. Emmert-Streib, A. Mushegian), In BMC Bioinformatics, volume 8, 2007. () [bibtex]
[18]Comparing Large Graphs Efficiently by Margines of Feature Vectors (M. Dehmer, F. Emmert-Streib), In Applied Mathematics and Computation, volume 188, 2007. (Remark: Both authors contributed equally to this work.) [bibtex]
[17]Topolocial Mappings between Graphs, Trees and Generalized Trees (F. Emmert-Streib, M. Dehmer), In Applied Mathematics and Computation, volume 186, 2007. () [bibtex]
[16]Nonlinear Time Series Prediction based on a Power-Law Noise Model (F. Emmert-Streib, M. Dehmer), In International Journal of Modern Physics C, volume 18, 2007. [bibtex]
[15]Harnessing naturally randomized transcription to infer regulatory relationships among genes (L Chen, F. Emmert-Streib, J.D. Storey), In Genome Biology, volume 8, 2007. [bibtex]
[14]The Chronic Fatigue Syndrome: A Comparative Pathway Analysis (F. Emmert-Streib), In Journal of Computational Biology, volume 14, 2007. [bibtex]
[13]Structural Similarity of Directed Universal Hierarchical Graphs: A low Computational Complexity Approach (M. Dehmer, F. Emmert-Streib), In Applied Mathematics and Computation, volume 194, 2007. [bibtex]
2006
[12]Perspectives of Graph Mining Techniques (M. Dehmer, F. Emmert-Streib, O. Wolkenhauer), In Rostocker Informatik Berichte, volume 30, 2006. [bibtex]
[11]A Similarity Measure for Graphs with Low Computational Complexity (M. Dehmer, F. Emmert-Streib, J. Kilian), In Applied Mathematics and Computation, volume 182, 2006. () [bibtex]
[10]Ranking Genes from DNA Microarray Data of Cervical Cancer by a local Tree Comparison (F. Emmert-Streib, M. Dehmer, J. Liu, M. Mühlhäuser), In International Journal of Biomedical Sciences, volume 1, 2006. [bibtex]
[9]Algorithmic Computation of Knot Polynomials of Secondary Structure Elemtents of Proteins (F. Emmert-Streib), In Journal of Computational Biology, volume 13, 2006. () [bibtex]
[8]Influence of the neural network topology on the learning dynamics (F. Emmert-Streib), In Neurocomputing, volume 69, 2006. () [bibtex]
[7]Measuring the Structural Similarity of Web-based Documents: A novel Approach (M. Dehmer, F. Emmert-Streib, A. Mehler, J. Kilian), In International Journal of Computational Intelligence, volume 3, 2006. () [bibtex]
[6]A Heterosynaptic Learning Rule for Neural Networks (F. Emmert-Streib), In International Journal of Modern Physics C, volume 17, 2006. [bibtex]
2005
[5]Stochastic Sznajd Model in Open Community (F. Emmert-Streib), In International Journal of Modern Physics C, volume 16, 2005. [bibtex]
[4]Active Learning in Recurrent Neural Networks Facilitated by an Hebb-like Learning Rule with Memory (F. Emmert-Streib), In Neural Information Processing - Letters and Reviews, volume 9, 2005. [bibtex]
[3]Self-organized annealing in laterally inhibited neural networks shows power law decay (F. Emmert-Streib), In Neural Information Processing - Letters and Reviews, volume 7, 2005. [bibtex]
2001
[2]A constrained HMM-based approach to the estimation of perceptual switching dynamics in Pigeons (J.R. Otterpohl, F. Emmert-Streib, K. Pawelzik), In Neurocomputing, volume 38-40, 2001. [bibtex]
2000
[1]Extracting the Dynamics of Perceptual Switching from Noisy Behaviour: An Application of Hidden Markov Modeling to Pecking Data from Pigeons (J.R. Otterpohl, J.D. Haynes, F. Emmert-Streib, G. Vetter, K. Pawelzik), In Journal of Physiology (Paris), volume 94, 2000. [bibtex]