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2020 – today
- 2025
[j116]Tanvi Sharma, Frank Emmert-Streib:
Deep mining the textual gold in relation extraction. Artif. Intell. Rev. 58(1): 34 (2025)- 2024
- [j115]Frank Emmert-Streib
, Shailesh Tripathi, Amer Farea, Olli Yli-Harja:
Advanced Scientometric Analysis of Scientific Machine Learning and PINNs: Topic Modeling and Trend Analysis. IEEE Access 12: 153253-153272 (2024) - [j114]Frank Emmert-Streib:
Is ChatGPT the way toward artificial general intelligence. Discov. Artif. Intell. 4(1): 32 (2024) - [j113]Amer Farea, Shailesh Tripathi, Galina V. Glazko, Frank Emmert-Streib:
Investigating the optimal number of topics by advanced text-mining techniques: Sustainable energy research. Eng. Appl. Artif. Intell. 136: 108877 (2024) - [j112]Amer Farea, Frank Emmert-Streib:
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length. J. Artif. Intell. Res. 80: 87-125 (2024) - [j111]Zhen Yang, Frank Emmert-Streib:
Optimal performance of Binary Relevance CNN in targeted multi-label text classification. Knowl. Based Syst. 284: 111286 (2024) - [j110]Frank Emmert-Streib, Shailesh Tripathi, Matthias Dehmer:
Human Team Behavior and Predictability in the Massively Multiplayer Online Game WOT Blitz. ACM Trans. Web 18(1): 5:1-5:27 (2024) - 2023
- [j109]Frank Emmert-Streib, Shailesh Tripathi, Matthias Dehmer:
Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure. IEEE Access 11: 69649-69666 (2023) - [j108]Zhen Yang, Frank Emmert-Streib:
Threshold-Learned CNN for Multi-Label Text Classification of Electronic Health Records. IEEE Access 11: 93402-93419 (2023) - [j107]Thomas Hartung, Jun Deng, Raghvendra Mall, Alejandro F. Frangi, Frank Emmert-Streib, Tuan D. Pham:
Editorial: Insights in AI: Medicine and public health 2022. Frontiers Artif. Intell. 6 (2023) - [j106]Frank Emmert-Streib:
Defining a Digital Twin: A Data Science-Based Unification. Mach. Learn. Knowl. Extr. 5(3): 1036-1054 (2023) - 2022
- [j105]Matthias Dehmer, Frank Emmert-Streib, Niko Tratnik, Petra Zigert Pletersek:
Szeged-like entropies of graphs. Appl. Math. Comput. 431: 127325 (2022) - [j104]Andreas Holzinger, Matthias Dehmer, Frank Emmert-Streib, Rita Cucchiara, Isabelle Augenstein, Javier Del Ser, Wojciech Samek, Igor Jurisica, Natalia Díaz Rodríguez:
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. Inf. Fusion 79: 263-278 (2022) - [j103]Samar Bashath, Nadeesha Perera, Shailesh Tripathi, Kalifa Manjang, Matthias Dehmer, Frank Emmert-Streib:
A data-centric review of deep transfer learning with applications to text data. Inf. Sci. 585: 498-528 (2022) - [j102]Yuede Ma, Matthias Dehmer, Urs-Martin Künzi, Shailesh Tripathi, Modjtaba Ghorbani, Jin Tao, Frank Emmert-Streib:
The usefulness of topological indices. Inf. Sci. 606: 143-151 (2022) - [j101]Nadeesha Perera, Thi Thuy Linh Nguyen, Matthias Dehmer, Frank Emmert-Streib:
Comparison of Text Mining Models for Food and Dietary Constituent Named-Entity Recognition. Mach. Learn. Knowl. Extr. 4(1): 254-275 (2022) - [j100]Frank Emmert-Streib, Matthias Dehmer:
Taxonomy of machine learning paradigms: A data-centric perspective. WIREs Data Mining Knowl. Discov. 12(5) (2022) - [i6]Amer Farea, Zhen Yang, Kien Duong, Nadeesha Perera, Frank Emmert-Streib:
Evaluation of Question Answering Systems: Complexity of judging a natural language. CoRR abs/2209.12617 (2022) - 2021
- [j99]Frank Emmert-Streib, Matthias Dehmer:
Data-Driven Computational Social Network Science: Predictive and Inferential Models for Web-Enabled Scientific Discoveries. Frontiers Big Data 4: 591749 (2021) - [j98]Shailesh Tripathi, David Muhr, Manuel Brunner, Herbert Jodlbauer, Matthias Dehmer, Frank Emmert-Streib:
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing. Frontiers Artif. Intell. 4: 576892 (2021) - [j97]Jun Deng, Thomas Hartung, Enrico Capobianco, Jake Y. Chen, Frank Emmert-Streib:
Editorial: Artificial Intelligence for Precision Medicine. Frontiers Artif. Intell. 4: 834645 (2021) - [j96]Modjtaba Ghorbani, Matthias Dehmer, Abdullah Lotfi, Najaf Amraei, Abbe Mowshowitz, Frank Emmert-Streib:
On the relationship between PageRank and automorphisms of a graph. Inf. Sci. 579: 401-417 (2021) - [j95]Yuede Ma, Matthias Dehmer, Urs-Martin Künzi, Abbe Mowshowitz, Shailesh Tripathi, Modjtaba Ghorbani, Frank Emmert-Streib:
Relationships between symmetry-based graph measures. Inf. Sci. 581: 291-303 (2021) - [j94]Frank Emmert-Streib:
From the Digital Data Revolution toward a Digital Society: Pervasiveness of Artificial Intelligence. Mach. Learn. Knowl. Extr. 3(1): 284-298 (2021) - [j93]Tao Cheng, Matthias Dehmer, Frank Emmert-Streib, Yongtao Li, Weijun Liu:
Properties of Commuting Graphs over Semidihedral Groups. Symmetry 13(1): 103 (2021) - [c16]Shailesh Tripathi, Herbert Jodlbauer, Christian Mittermayr, Frank Emmert-Streib:
Identifying key interactions between process variables of different material categories using mutual information-based network inference method. ISM 2021: 1550-1564 - 2020
- [j92]Matthias Dehmer, Zengqiang Chen, Frank Emmert-Streib, Abbe Mowshowitz, Kurt Varmuza, Lihua Feng, Herbert Jodlbauer, Yongtang Shi, Jin Tao:
The Orbit-Polynomial: A Novel Measure of Symmetry in Networks. IEEE Access 8: 36100-36112 (2020) - [j91]Peng Xu, Wenxiang Li, Jin Tao, Matthias Dehmer, Frank Emmert-Streib, Guangming Xie, Minyi Xu, Quan Zhou:
Distributed Event-Triggered Circular Formation Control for Multiple Anonymous Mobile Robots With Order Preservation and Obstacle Avoidance. IEEE Access 8: 167288-167299 (2020) - [j90]Matthias Dehmer, Frank Emmert-Streib, Abbe Mowshowitz, Aleksandar Ilic, Zengqiang Chen, Guihai Yu, Lihua Feng, Modjtaba Ghorbani, Kurt Varmuza, Jin Tao:
Relations and bounds for the zeros of graph polynomials using vertex orbits. Appl. Math. Comput. 380: 125239 (2020) - [j89]Modjtaba Ghorbani, Matthias Dehmer, Hamidreza Maimani, Sheyda Maddah, Maryam Roozbayani, Frank Emmert-Streib:
The watching system as a generalization of identifying code. Appl. Math. Comput. 380: 125302 (2020) - [j88]Qian Yin, Zhishuang Wang, Chengyi Xia, Matthias Dehmer, Frank Emmert-Streib, Zhen Jin:
A novel epidemic model considering demographics and intercity commuting on complex dynamical networks. Appl. Math. Comput. 386: 125517 (2020) - [j87]Frank Emmert-Streib, Zhen Yang, Han Feng, Shailesh Tripathi, Matthias Dehmer:
An Introductory Review of Deep Learning for Prediction Models With Big Data. Frontiers Artif. Intell. 3: 4 (2020) - [j86]Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer:
Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status. Frontiers Artif. Intell. 3: 524339 (2020) - [j85]Pengfei Wan, Xinzhuang Chen, Jianhua Tu, Matthias Dehmer, Shenggui Zhang, Frank Emmert-Streib:
On graph entropy measures based on the number of independent sets and matchings. Inf. Sci. 516: 491-504 (2020) - [j84]Modjtaba Ghorbani, Matthias Dehmer, Shujuan Cao, Lihua Feng, Jin Tao, Frank Emmert-Streib:
On the zeros of the partial Hosoya polynomial of graphs. Inf. Sci. 524: 199-215 (2020) - [j83]Hamidreza Azemati, Fatemeh Jam, Modjtaba Ghorbani, Matthias Dehmer, Reza Ebrahimpour, Abdolhamid Ghanbaran, Frank Emmert-Streib:
The Role of Symmetry in the Aesthetics of Residential Building Façades Using Cognitive Science Methods. Symmetry 12(9): 1438 (2020) - [j82]Weijun Liu, Jingwen Ban, Lihua Feng, Tao Cheng, Frank Emmert-Streib, Matthias Dehmer:
Erratum: Liu, W.; Ban, J.; Feng, L.; Cheng, T.; Emmert-Streib, F.; Dehmer, M. The Maximum Hosoya Index of Unicyclic Graphs with Diameter at Most Four. Symmetry 2019, 11, 1034. Symmetry 12(9): 1496 (2020) - [j81]Modjtaba Ghorbani, Matthias Dehmer, Frank Emmert-Streib:
On the Degeneracy of the Orbit Polynomial and Related Graph Polynomials. Symmetry 12(10): 1643 (2020) - [j80]Mohammad Javad Nadjafi-Arani, Mahsa Mirzargar, Frank Emmert-Streib, Matthias Dehmer:
Partition and Colored Distances in Graphs Induced to Subsets of Vertices and Some of Its Applications. Symmetry 12(12): 2027 (2020) - [j79]Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer:
Explainable artificial intelligence and machine learning: A reality rooted perspective. WIREs Data Mining Knowl. Discov. 10(6) (2020) - [i5]Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer:
Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective. CoRR abs/2001.09464 (2020) - [i4]Shailesh Tripathi, David Muhr, Manuel Brunner, Frank Emmert-Streib, Herbert Jodlbauer, Matthias Dehmer:
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing. CoRR abs/2007.14791 (2020) - [i3]Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer:
A clarification of misconceptions, myths and desired status of artificial intelligence. CoRR abs/2008.05607 (2020) - [i2]Frank Emmert-Streib:
From the digital data revolution to digital health and digital economy toward a digital society: Pervasiveness of Artificial Intelligence. CoRR abs/2008.12672 (2020)
2010 – 2019
- 2019
- [j78]Modjtaba Ghorbani, Matthias Dehmer, Mina Rajabi-Parsa, Frank Emmert-Streib, Abbe Mowshowitz:
Hosoya entropy of fullerene graphs. Appl. Math. Comput. 352: 88-98 (2019) - [j77]Matthias Dehmer, Zengqiang Chen, Yongtang Shi, Yusen Zhang, Shailesh Tripathi, Modjtaba Ghorbani, Abbe Mowshowitz, Frank Emmert-Streib:
On efficient network similarity measures. Appl. Math. Comput. 362 (2019) - [j76]Pengfei Wan, Jianhua Tu, Matthias Dehmer, Shenggui Zhang, Frank Emmert-Streib:
Graph entropy based on the number of spanning forests of c-cyclic graphs. Appl. Math. Comput. 363 (2019) - [j75]Modjtaba Ghorbani, Matthias Dehmer, Vahid Taghvayi-Yazdelli, Frank Emmert-Streib:
A Graph Theoretic Approach to Construct Desired Cryptographic Boolean Functions. Axioms 8(2): 40 (2019) - [j74]Modjtaba Ghorbani, Matthias Dehmer, Samaneh Zangi, Abbe Mowshowitz, Frank Emmert-Streib:
A Note on Distance-Based Entropy of Dendrimers. Axioms 8(3): 98 (2019) - [j73]Modjtaba Ghorbani, Matthias Dehmer, Mina Rajabi-Parsa, Abbe Mowshowitz, Frank Emmert-Streib:
On Properties of Distance-Based Entropies on Fullerene Graphs. Entropy 21(5): 482 (2019) - [j72]Abbe Mowshowitz, Matthias Dehmer, Frank Emmert-Streib:
A Note on Graphs with Prescribed Orbit Structure. Entropy 21(11): 1118 (2019) - [j71]Frank Emmert-Streib, Shailesh Tripathi, Matthias Dehmer:
Constrained Covariance Matrices With a Biologically Realistic Structure: Comparison of Methods for Generating High-Dimensional Gaussian Graphical Models. Frontiers Appl. Math. Stat. 5: 17 (2019) - [j70]Matthias Dehmer, Zengqiang Chen, Frank Emmert-Streib, Abbe Mowshowitz, Yongtang Shi, Shailesh Tripathi, Yusen Zhang:
Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach. Inf. Sci. 471: 19-28 (2019) - [j69]Guihai Yu, Matthias Dehmer, Frank Emmert-Streib, Herbert Jodlbauer:
Hermitian normalized Laplacian matrix for directed networks. Inf. Sci. 495: 175-184 (2019) - [j68]Matthias Dehmer, Zengqiang Chen, Abbe Mowshowitz, Herbert Jodlbauer, Frank Emmert-Streib, Yongtang Shi, Shailesh Tripathi, Chengyi Xia:
On the degeneracy of the Randić entropy and related graph measures. Inf. Sci. 501: 680-687 (2019) - [j67]Frank Emmert-Streib, Matthias Dehmer:
Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations? Mach. Learn. Knowl. Extr. 1(1): 138-148 (2019) - [j66]Frank Emmert-Streib, Matthias Dehmer:
A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition. Mach. Learn. Knowl. Extr. 1(1): 149-156 (2019) - [j65]Aliyu Musa, Matthias Dehmer, Olli Yli-Harja, Frank Emmert-Streib:
Exploiting Genomic Relations in Big Data Repositories by Graph-Based Search Methods. Mach. Learn. Knowl. Extr. 1(1): 205-210 (2019) - [j64]Frank Emmert-Streib, Matthias Dehmer:
Defining Data Science by a Data-Driven Quantification of the Community. Mach. Learn. Knowl. Extr. 1(1): 235-251 (2019) - [j63]Frank Emmert-Streib, Matthias Dehmer:
High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection. Mach. Learn. Knowl. Extr. 1(1): 359-383 (2019) - [j62]Frank Emmert-Streib, Matthias Dehmer:
Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error. Mach. Learn. Knowl. Extr. 1(1): 521-551 (2019) - [j61]Frank Emmert-Streib, Matthias Dehmer:
Large-Scale Simultaneous Inference with Hypothesis Testing: Multiple Testing Procedures in Practice. Mach. Learn. Knowl. Extr. 1(2): 653-683 (2019) - [j60]Frank Emmert-Streib, Matthias Dehmer:
Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference. Mach. Learn. Knowl. Extr. 1(3): 945-961 (2019) - [j59]Frank Emmert-Streib, Matthias Dehmer:
Introduction to Survival Analysis in Practice. Mach. Learn. Knowl. Extr. 1(3): 1013-1038 (2019) - [j58]Modjtaba Ghorbani, Matthias Dehmer, Abbe Mowshowitz, Jin Tao, Frank Emmert-Streib:
The Hosoya Entropy of Graphs Revisited. Symmetry 11(8): 1013 (2019) - [j57]Weijun Liu, Jingwen Ban, Lihua Feng, Tao Cheng, Frank Emmert-Streib, Matthias Dehmer:
The Maximum Hosoya Index of Unicyclic Graphs with Diameter at Most Four. Symmetry 11(8): 1034 (2019) - [j56]Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer:
A comprehensive survey of error measures for evaluating binary decision making in data science. WIREs Data Mining Knowl. Discov. 9(5) (2019) - 2018
- [j55]Aliyu Musa, Laleh Soltan Ghoraie, Shu-Dong Zhang, Galina V. Glazko, Olli Yli-Harja, Matthias Dehmer, Benjamin Haibe-Kains, Frank Emmert-Streib:
A review of connectivity map and computational approaches in pharmacogenomics. Briefings Bioinform. 19(3): 506-523 (2018) - [j54]Frank Emmert-Streib, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer:
Understanding the World Economy in Terms of Networks: A Survey of Data-Based Network Science Approaches on Economic Networks. Frontiers Appl. Math. Stat. 4: 37 (2018) - [j53]Frank Emmert-Streib, Olli P. Yli-Harja, Matthias Dehmer:
Data Analytics Applications for Streaming Data From Social Media: What to Predict? Frontiers Big Data 1: 2 (2018) - [j52]Matthias Dehmer, Zengqiang Chen, Frank Emmert-Streib, Yongtang Shi, Shailesh Tripathi:
Graph measures with high discrimination power revisited: A random polynomial approach. Inf. Sci. 467: 407-414 (2018) - [j51]László Barna Iantovics, Matthias Dehmer, Frank Emmert-Streib:
MetrIntSimil - An Accurate and Robust Metric for Comparison of Similarity in Intelligence of Any Number of Cooperative Multiagent Systems. Symmetry 10(2): 48 (2018) - 2017
- [j50]Zengqiang Chen, Matthias Dehmer, Frank Emmert-Streib, Abbe Mowshowitz, Yongtang Shi:
Toward Measuring Network Aesthetics Based on Symmetry. Axioms 6(2): 12 (2017) - [j49]Aliyu Musa, Laleh Soltan Ghoraie, Shu-Dong Zhang, Galina V. Glazko, Olli Yli-Harja, Matthias Dehmer, Benjamin Haibe-Kains, Frank Emmert-Streib:
A review of connectivity map and computational approaches in pharmacogenomics. Briefings Bioinform. 18(5): 903 (2017) - [j48]Yasir Rahmatallah, Boris L. Zybailov, Frank Emmert-Streib, Galina V. Glazko:
GSAR: Bioconductor package for Gene Set analysis in R. BMC Bioinform. 18(1): 61:1-61:12 (2017) - [j47]Shailesh Tripathi, Jason Lloyd-Price, Andre S. Ribeiro, Olli Yli-Harja, Matthias Dehmer, Frank Emmert-Streib:
sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters. BMC Bioinform. 18(1): 325 (2017) - [j46]László Barna Iantovics, Frank Emmert-Streib, Sabri Arik:
MetrIntMeas a novel metric for measuring the intelligence of a swarm of cooperating agents. Cogn. Syst. Res. 45: 17-29 (2017) - [j45]Matthias Dehmer, Frank Emmert-Streib, Bo Hu, Yongtang Shi, Monica Stefu, Shailesh Tripathi:
Highly unique network descriptors based on the roots of the permanental polynomial. Inf. Sci. 408: 176-181 (2017) - [j44]Matthias Dehmer, Frank Emmert-Streib, Yongtang Shi:
Quantitative Graph Theory: A new branch of graph theory and network science. Inf. Sci. 418: 575-580 (2017) - [i1]Matthias Dehmer, Frank Emmert-Streib, Yongtang Shi:
Quantitative Graph Theory: A new branch of graph theory and in network science. CoRR abs/1710.05660 (2017) - 2016
- [j43]Yasir Rahmatallah, Frank Emmert-Streib, Galina V. Glazko:
Gene set analysis approaches for RNA-seq data: performance evaluation and application guideline. Briefings Bioinform. 17(3): 393-407 (2016) - [j42]Alexey Stupnikov, Shailesh Tripathi, Ricardo de Matos Simoes, Darragh G. McArt, Manuel Salto-Tellez, Galina V. Glazko, Matthias Dehmer, Frank Emmert-Streib:
samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files. Bioinform. 32(21): 3345-3347 (2016) - [j41]Shailesh Tripathi, Salissou Moutari, Matthias Dehmer, Frank Emmert-Streib:
Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules. BMC Bioinform. 17: 129 (2016) - [j40]Frank Emmert-Streib, Matthias Dehmer, Yongtang Shi:
Fifty years of graph matching, network alignment and network comparison. Inf. Sci. 346-347: 180-197 (2016) - [c15]Olli Yli-Harja, Frank Emmert-Streib, Jari Yli-Hietanen:
Mathematical Modeling in Systems Biology. WIVACE 2016: 161-166 - 2015
- [j39]Matthias Dehmer, Frank Emmert-Streib, Yongtang Shi:
Graph distance measures based on topological indices revisited. Appl. Math. Comput. 266: 623-633 (2015) - [j38]Ricardo de Matos Simoes, Sabine Dalleau, Kate E. Williamson, Frank Emmert-Streib:
Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data. BMC Syst. Biol. 9: 21 (2015) - [j37]Zengqiang Chen, Matthias Dehmer, Frank Emmert-Streib, Yongtang Shi:
Entropy of Weighted Graphs with Randi'c Weights. Entropy 17(6): 3710-3723 (2015) - [c14]Ricardo de Matos Simoes, Constantine Mitsiades, Kate E. Williamson, Frank Emmert-Streib:
Network signatures based on gene pair expression ratios improve classification and the analysis of muscle-invasive urothelial cancer. BIBM 2015: 1216-1223 - 2014
- [j36]Zengqiang Chen, Matthias Dehmer, Frank Emmert-Streib, Yongtang Shi:
Entropy bounds for dendrimers. Appl. Math. Comput. 242: 462-472 (2014) - [j35]Yasir Rahmatallah, Frank Emmert-Streib, Galina V. Glazko:
Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene sets. Bioinform. 30(3): 360-368 (2014) - [j34]Shailesh Tripathi, Matthias Dehmer, Frank Emmert-Streib:
NetBioV: an R package for visualizing large network data in biology and medicine. Bioinform. 30(19): 2834-2836 (2014) - [j33]Yasir Rahmatallah, Frank Emmert-Streib, Galina V. Glazko:
Comparative evaluation of gene set analysis approaches for RNA-Seq data. BMC Bioinform. 15: 397 (2014) - [j32]Frank Emmert-Streib, Ricardo de Matos Simoes, Galina V. Glazko, Simon S. McDade, Benjamin Haibe-Kains, Andreas Holzinger, Matthias Dehmer, Frederick Campbell:
Functional and genetic analysis of the colon cancer network. BMC Bioinform. 15(S-6): S6 (2014) - [j31]Matthias Dehmer, Frank Emmert-Streib, Martin Grabner:
A computational approach to construct a multivariate complete graph invariant. Inf. Sci. 260: 200-208 (2014) - [j30]Veronika Kraus, Matthias Dehmer, Frank Emmert-Streib:
Probabilistic inequalities for evaluating structural network measures. Inf. Sci. 288: 220-245 (2014) - 2013
- [j29]Matthias Dehmer, Martin Grabner, Abbe Mowshowitz, Frank Emmert-Streib:
An efficient heuristic approach to detecting graph isomorphism based on combinations of highly discriminating invariants. Adv. Comput. Math. 39(2): 311-325 (2013) - [j28]Andreas Dander, Laurin A. J. Mueller, Ralf Gallasch, Stephan Pabinger, Frank Emmert-Streib, Armin Graber, Matthias Dehmer:
[COMMODE] a large-scale database of molecular descriptors using compounds from PubChem. Source Code Biol. Medicine 8: 22 (2013) - 2012
- [j27]Frank Emmert-Streib:
Evolutionary dynamics of the spatial Prisoner's Dilemma with self-inhibition. Appl. Math. Comput. 218(11): 6482-6488 (2012) - [j26]Frank Emmert-Streib:
Universal construction mechanism for networks from one-dimensional symbol sequences. Appl. Math. Comput. 219(3): 1020-1030 (2012) - [j25]Yasir Rahmatallah, Frank Emmert-Streib, Galina V. Glazko:
Gene set analysis for self-contained tests: complex null and specific alternative hypotheses. Bioinform. 28(23): 3073-3080 (2012) - [j24]Frank Emmert-Streib, Antti Häkkinen, Andre S. Ribeiro:
Detecting sequence dependent transcriptional pauses from RNA and protein number time series. BMC Bioinform. 13: 152 (2012) - [j23]Ricardo de Matos Simoes, Shailesh Tripathi, Frank Emmert-Streib:
Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma. BMC Syst. Biol. 6: 38 (2012) - 2011
- [j22]Laurin A. J. Mueller, Karl G. Kugler, Armin Graber, Frank Emmert-Streib, Matthias Dehmer:
Structural Measures for Network Biology Using QuACN. BMC Bioinform. 12: 492 (2011) - [j21]Frank Emmert-Streib, Galina V. Glazko:
Pathway Analysis of Expression Data: Deciphering Functional Building Blocks of Complex Diseases. PLoS Comput. Biol. 7(5) (2011) - [p2]Frank Emmert-Streib:
A Brief Introduction to Complex Networks and Their Analysis. Structural Analysis of Complex Networks 2011: 1-26 - [p1]Matthias Dehmer, Frank Emmert-Streib:
Mining Graph Patterns in Web-based Systems: A Conceptual View. Genres on the Web 2011: 237-253 - [e3]Matthias Dehmer, Frank Emmert-Streib, Alexander Mehler:
Towards an Information Theory of Complex Networks - Statistical Methods and Applications. Birkhäuser 2011, ISBN 978-0-8176-4903-6 [contents] - 2010
- [j20]Gökmen Altay, Frank Emmert-Streib:
Revealing differences in gene network inference algorithms on the network level by ensemble methods. Bioinform. 26(14): 1738-1744 (2010) - [j19]Gökmen Altay, Frank Emmert-Streib:
Inferring the conservative causal core of gene regulatory networks. BMC Syst. Biol. 4: 132 (2010) - [j18]Frank Emmert-Streib, Matthias Dehmer:
Identifying critical financial networks of the DJIA: Toward a network-based index. Complex. 16(1): 24-33 (2010)
2000 – 2009
- 2009
- [j17]Galina V. Glazko, Frank Emmert-Streib:
Unite and conquer: univariate and multivariate approaches for finding differentially expressed gene sets. Bioinform. 25(18): 2348-2354 (2009) - [j16]Frank Emmert-Streib, Matthias Dehmer:
Information processing in the transcriptional regulatory network of yeast: Functional robustness. BMC Syst. Biol. 3: 35 (2009) - [j15]Frank Emmert-Streib, Matthias Dehmer:
Hierarchical coordination of periodic genes in the cell cycle of Saccharomyces cerevisiae. BMC Syst. Biol. 3: 76 (2009) - [j14]Matthias Dehmer, Kurt Varmuza, Stephan Borgert, Frank Emmert-Streib:
On Entropy-Based Molecular Descriptors: Statistical Analysis of Real and Synthetic Chemical Structures. J. Chem. Inf. Model. 49(7): 1655-1663 (2009) - [c13]Frank Emmert-Streib, Matthias Dehmer:
Organizational Structure of the Transcriptional Regulatory Network of Yeast: Periodic Genes. Complex (1) 2009: 140-148 - [c12]Matthias Dehmer, Frank Emmert-Streib:
Towards Network Complexity. Complex (1) 2009: 707-714 - [c11]Frank Emmert-Streib, Matthias Dehmer:
Towards a Partitioning of the Input Space of Boolean Networks: Variable Selection Using Bagging. Complex (1) 2009: 715-723 - 2008
- [j13]Frank Emmert-Streib, Hamid R. Arabnia, Mary Qu Yang:
Preface. Appl. Artif. Intell. 22(7&8): 617-618 (2008) - [j12]Matthias Dehmer, Frank Emmert-Streib, Tanja Gesell:
A comparative analysis of multidimensional features of objects resembling sets of graphs. Appl. Math. Comput. 196(1): 221-235 (2008) - [j11]Matthias Dehmer, Frank Emmert-Streib:
Structural information content of networks: Graph entropy based on local vertex functionals. Comput. Biol. Chem. 32(2): 131-138 (2008) - [c10]Frank Emmert-Streib, Andre S. Ribeiro:
Optimize Observational Time Points to Maximize the Inferability of Gene Networks. BIOCOMP 2008: 55-60 - [e2]Matthias Dehmer, Michael Drmota, Frank Emmert-Streib:
Proceedings of the 2008 International Conference on Information Theory and Statistical Learning, ITSL 2008, Las Vegas, Nevada, USA, July 14-17, 2008. CSREA Press 2008, ISBN 1-60132-079-5 [contents] - 2007
- [j10]Frank Emmert-Streib, Matthias Dehmer:
Topological mappings between graphs, trees and generalized trees. Appl. Math. Comput. 186(2): 1326-1333 (2007) - [j9]Matthias Dehmer, Frank Emmert-Streib:
Comparing large graphs efficiently by margins of feature vectors. Appl. Math. Comput. 188(2): 1699-1710 (2007) - [j8]Frank Emmert-Streib, Matthias Dehmer:
Information theoretic measures of UHG graphs with low computational complexity. Appl. Math. Comput. 190(2): 1783-1794 (2007) - [j7]Matthias Dehmer, Frank Emmert-Streib:
Structural similarity of directed universal hierarchical graphs: A low computational complexity approach. Appl. Math. Comput. 194(1): 7-20 (2007) - [j6]Frank Emmert-Streib, Arcady R. Mushegian:
A topological algorithm for identification of structural domains of proteins. BMC Bioinform. 8 (2007) - [j5]Frank Emmert-Streib:
The Chronic Fatigue Syndrome: A Comparative Pathway Analysis. J. Comput. Biol. 14(7): 961-972 (2007) - [c9]Frank Emmert-Streib, Matthias Dehmer:
Global Information Processing in Gene Networks: Fault Tolerance. BIONETICS 2007: 326-329 - [c8]Frank Emmert-Streib, Matthias Dehmer:
Optimization Procedure for Predicting Nonlinear Time Series Based on a Non-Gaussian Noise Model. MICAI 2007: 540-549 - [c7]Matthias Dehmer, Frank Emmert-Streib, Andreas Zulauf:
A Graph Mining Technique for Automatic Classification of Web Genre Data. MLMTA 2007: 10-16 - [c6]Matthias Dehmer, Alexander Mehler, Frank Emmert-Streib:
Graph-theoretical Characterizations of Generalized Trees. MLMTA 2007: 113-117 - [e1]Hamid R. Arabnia, Matthias Dehmer, Frank Emmert-Streib, Mary Qu Yang:
Proceedings of the 2007 International Conference on Machine Learning; Models, Technologies & Applications, MLMTA 2007, June 25-28, 2007, Las Vegas Nevada, USA. CSREA Press 2007, ISBN 1-60132-027-2 [contents] - 2006
- [j4]Matthias Dehmer, Frank Emmert-Streib, Jürgen Kilian:
A similarity measure for graphs with low computational complexity. Appl. Math. Comput. 182(1): 447-459 (2006) - [j3]Frank Emmert-Streib:
Influence of the neural network topology on the learning dynamics. Neurocomputing 69(10-12): 1179-1182 (2006) - [j2]Frank Emmert-Streib:
Algorithmic Computation of Knot Polynomials of Secondary Structure Elements of Proteins. J. Comput. Biol. 13(8): 1503-1512 (2006) - [c5]Frank Emmert-Streib, Matthias Dehmer:
Theoretical Bounds for the Number of Inferable Edges in Sparse Random Networks. BIOCOMP 2006: 472-476 - [c4]Frank Emmert-Streib, Matthias Dehmer, Chris Seidel:
Influence of Prior Information on the Reconstruction of the Yeast Cell Cycle from Microarray Data. BIOCOMP 2006: 477-482 - [c3]Frank Emmert-Streib:
A Novel Stochastic Learning Rule for Neural Networks. ISNN (1) 2006: 414-423 - 2005
- [c2]Frank Emmert-Streib, Matthias Dehmer, Jürgen Kilian:
Classification of Large Graphs by a Local Tree Decomposition. DMIN 2005: 200-207 - [c1]Frank Emmert-Streib:
A Neurobiologically Motivated Model for Self-organized Learning. MICAI 2005: 415-424 - 2003
- [b1]Frank Emmert-Streib:
Aktive computation in offenen Systemen: Lerndynamiken in biologischen Systemen: vom Netzwerk zum Organismus. University of Bremen, Germany, Mensch-und-Buch-Verlag 2003, ISBN 3-89820-790-0, pp. 1-181 - 2001
- [j1]Jens R. Otterpohl, Frank Emmert-Streib, Klaus Pawelzik:
A constrained HMM-based approach to the estimation of perceptual switching dynamics in pigeons. Neurocomputing 38-40: 1495-1501 (2001)
Coauthor Index
[j110] [j109] [j105] [j104] [j103] [j102] [j101] [j100] [j99] [j98] [j96] [j95] [j93] [j92] [j91] [j90] [j89] [j88] [j87] [j86] [j85] [j84] [j83] [j82] [j81] [j80] [j79] [i5] [i4] [i3] [j78] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [j69] [j68] [j67] [j66] [j65] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j47] [j45] [j44] [i1] [j42] [j41] [j40] [j39] [j37] [j36] [j34] [j32] [j31] [j30] [j29] [j28] [j22] [p1] [e3] [j18] [j16] [j15] [j14] [c13] [c12] [c11] [j12] [j11] [e2] [j10] [j9] [j8] [j7] [c9] [c8] [c7] [c6] [e1] [j4] [c5] [c4] [c2]
Olli Yli-Harja
aka: Olli P. Yli-Harja
aka: Olli P. Yli-Harja
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