A constrained HMM-based approach to the estimation of perceptual switching dynamics in pigeons. - Jens R. Otterpohl; Frank Emmert-Streib; Klaus Pawelzik (Neurocomputing, 2001)

Aktive computation in offenen Systemen: Lerndynamiken in biologischen Systemen: vom Netzwerk zum Organismus. - Frank Emmert-Streib (Mensch-und-Buch-Verlag, 2003)

Classification of Large Graphs by a Local Tree Decomposition. - Frank Emmert-Streib; Matthias Dehmer; Jürgen Kilian (DMIN, 2005)

A Neurobiologically Motivated Model for Self-organized Learning. - Frank Emmert-Streib (MICAI, 2005)

Theoretical Bounds for the Number of Inferable Edges in Sparse Random Networks. - Frank Emmert-Streib; Matthias Dehmer (BIOCOMP, 2006)

Influence of Prior Information on the Reconstruction of the Yeast Cell Cycle from Microarray Data. - Frank Emmert-Streib; Matthias Dehmer; Chris Seidel (BIOCOMP, 2006)

A Novel Stochastic Learning Rule for Neural Networks. - Frank Emmert-Streib (ISNN (1), 2006)

A similarity measure for graphs with low computational complexity. - Matthias Dehmer; Frank Emmert-Streib; Jürgen Kilian (Appl. Math. Comput., 2006)

Influence of the neural network topology on the learning dynamics. - Frank Emmert-Streib (Neurocomputing, 2006)

Algorithmic Computation of Knot Polynomials of Secondary Structure Elements of Proteins. - Frank Emmert-Streib (J. Comput. Biol., 2006)

Global Information Processing in Gene Networks: Fault Tolerance. - Frank Emmert-Streib; Matthias Dehmer (BIONETICS, 2007)

Optimization Procedure for Predicting Nonlinear Time Series Based on a Non-Gaussian Noise Model. - Frank Emmert-Streib; Matthias Dehmer (MICAI, 2007)

A Graph Mining Technique for Automatic Classification of Web Genre Data. - Matthias Dehmer; Frank Emmert-Streib; Andreas Zulauf (MLMTA, 2007)

Graph-theoretical Characterizations of Generalized Trees. - Matthias Dehmer; Alexander Mehler; Frank Emmert-Streib (MLMTA, 2007)

Comparing large graphs efficiently by margins of feature vectors. - Matthias Dehmer; Frank Emmert-Streib (Appl. Math. Comput., 2007)

Structural similarity of directed universal hierarchical graphs: A low computational complexity approach. - Matthias Dehmer; Frank Emmert-Streib (Appl. Math. Comput., 2007)

Topological mappings between graphs, trees and generalized trees. - Frank Emmert-Streib; Matthias Dehmer (Appl. Math. Comput., 2007)

Information theoretic measures of UHG graphs with low computational complexity. - Frank Emmert-Streib; Matthias Dehmer (Appl. Math. Comput., 2007)

A topological algorithm for identification of structural domains of proteins. - Frank Emmert-Streib; Arcady R. Mushegian (BMC Bioinform., 2007)

The Chronic Fatigue Syndrome: A Comparative Pathway Analysis. - Frank Emmert-Streib (J. Comput. Biol., 2007)

Optimize Observational Time Points to Maximize the Inferability of Gene Networks. - Frank Emmert-Streib; Andre S. Ribeiro (BIOCOMP, 2008)

Preface. - Frank Emmert-Streib; Hamid R. Arabnia; Mary Qu Yang (Appl. Artif. Intell., 2008)

A comparative analysis of multidimensional features of objects resembling sets of graphs. - Matthias Dehmer; Frank Emmert-Streib; Tanja Gesell (Appl. Math. Comput., 2008)

Structural information content of networks: Graph entropy based on local vertex functionals. - Matthias Dehmer; Frank Emmert-Streib (Comput. Biol. Chem., 2008)

Towards Network Complexity. - Matthias Dehmer; Frank Emmert-Streib (Complex (1), 2009)

Organizational Structure of the Transcriptional Regulatory Network of Yeast: Periodic Genes. - Frank Emmert-Streib; Matthias Dehmer (Complex (1), 2009)

Towards a Partitioning of the Input Space of Boolean Networks: Variable Selection Using Bagging. - Frank Emmert-Streib; Matthias Dehmer (Complex (1), 2009)

Unite and conquer: univariate and multivariate approaches for finding differentially expressed gene sets. - Galina V. Glazko; Frank Emmert-Streib (Bioinform., 2009)

Information processing in the transcriptional regulatory network of yeast: Functional robustness. - Frank Emmert-Streib; Matthias Dehmer (BMC Syst. Biol., 2009)

Hierarchical coordination of periodic genes in the cell cycle of Saccharomyces cerevisiae. - Frank Emmert-Streib; Matthias Dehmer (BMC Syst. Biol., 2009)

On Entropy-Based Molecular Descriptors: Statistical Analysis of Real and Synthetic Chemical Structures. - Matthias Dehmer; Kurt Varmuza; Stephan Borgert; Frank Emmert-Streib (J. Chem. Inf. Model., 2009)

Revealing differences in gene network inference algorithms on the network level by ensemble methods. - Gökmen Altay; Frank Emmert-Streib (Bioinform., 2010)

Inferring the conservative causal core of gene regulatory networks. - Gökmen Altay; Frank Emmert-Streib (BMC Syst. Biol., 2010)

Identifying critical financial networks of the DJIA: Toward a network-based index. - Frank Emmert-Streib; Matthias Dehmer (Complex., 2010)

Mining Graph Patterns in Web-based Systems: A Conceptual View. - Matthias Dehmer; Frank Emmert-Streib (Genres on the Web, 2011)

A Brief Introduction to Complex Networks and Their Analysis. - Frank Emmert-Streib (Structural Analysis of Complex Networks, 2011)

Structural Measures for Network Biology Using QuACN. - Laurin A. J. Mueller; Karl G. Kugler; Armin Graber; Frank Emmert-Streib; Matthias Dehmer (BMC Bioinform., 2011)

Pathway Analysis of Expression Data: Deciphering Functional Building Blocks of Complex Diseases. - Frank Emmert-Streib; Galina V. Glazko (PLoS Comput. Biol., 2011)

Evolutionary dynamics of the spatial Prisoner's Dilemma with self-inhibition. - Frank Emmert-Streib (Appl. Math. Comput., 2012)

Universal construction mechanism for networks from one-dimensional symbol sequences. - Frank Emmert-Streib (Appl. Math. Comput., 2012)

Gene set analysis for self-contained tests: complex null and specific alternative hypotheses. - Yasir Rahmatallah; Frank Emmert-Streib; Galina V. Glazko (Bioinform., 2012)

Detecting sequence dependent transcriptional pauses from RNA and protein number time series. - Frank Emmert-Streib; Antti Häkkinen; Andre S. Ribeiro (BMC Bioinform., 2012)

Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma. - Ricardo de Matos Simoes; Shailesh Tripathi; Frank Emmert-Streib (BMC Syst. Biol., 2012)

An efficient heuristic approach to detecting graph isomorphism based on combinations of highly discriminating invariants. - Matthias Dehmer; Martin Grabner; Abbe Mowshowitz; Frank Emmert-Streib (Adv. Comput. Math., 2013)

[COMMODE] a large-scale database of molecular descriptors using compounds from PubChem. - Andreas Dander; Laurin A. J. Mueller; Ralf Gallasch; Stephan Pabinger; Frank Emmert-Streib; Armin Graber; Matthias Dehmer (Source Code Biol. Medicine, 2013)

Entropy bounds for dendrimers. - Zengqiang Chen 001; Matthias Dehmer; Frank Emmert-Streib; Yongtang Shi (Appl. Math. Comput., 2014)

Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene sets. - Yasir Rahmatallah; Frank Emmert-Streib; Galina V. Glazko (Bioinform., 2014)

NetBioV: an R package for visualizing large network data in biology and medicine. - Shailesh Tripathi; Matthias Dehmer; Frank Emmert-Streib (Bioinform., 2014)

Functional and genetic analysis of the colon cancer network. - Frank Emmert-Streib; Ricardo de Matos Simoes; Galina V. Glazko; Simon S. McDade; Benjamin Haibe-Kains; Andreas Holzinger; Matthias Dehmer; Frederick Campbell (BMC Bioinform., 2014)

Comparative evaluation of gene set analysis approaches for RNA-Seq data. - Yasir Rahmatallah; Frank Emmert-Streib; Galina V. Glazko (BMC Bioinform., 2014)

A computational approach to construct a multivariate complete graph invariant. - Matthias Dehmer; Frank Emmert-Streib; Martin Grabner (Inf. Sci., 2014)

Probabilistic inequalities for evaluating structural network measures. - Veronika Kraus; Matthias Dehmer; Frank Emmert-Streib (Inf. Sci., 2014)

Network signatures based on gene pair expression ratios improve classification and the analysis of muscle-invasive urothelial cancer. - Ricardo de Matos Simoes; Constantine Mitsiades; Kate E. Williamson; Frank Emmert-Streib (BIBM, 2015)

Graph distance measures based on topological indices revisited. - Matthias Dehmer; Frank Emmert-Streib; Yongtang Shi (Appl. Math. Comput., 2015)

Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data. - Ricardo de Matos Simoes; Sabine Dalleau; Kate E. Williamson; Frank Emmert-Streib (BMC Syst. Biol., 2015)

Entropy of Weighted Graphs with Randi'c Weights. - Zengqiang Chen 001; Matthias Dehmer; Frank Emmert-Streib; Yongtang Shi (Entropy, 2015)

Mathematical Modeling in Systems Biology. - Olli Yli-Harja; Frank Emmert-Streib; Jari Yli-Hietanen (WIVACE, 2016)

Gene set analysis approaches for RNA-seq data: performance evaluation and application guideline. - Yasir Rahmatallah; Frank Emmert-Streib; Galina V. Glazko (Briefings Bioinform., 2016)

samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files. - Alexey Stupnikov; Shailesh Tripathi; Ricardo de Matos Simoes; Darragh G. McArt; Manuel Salto-Tellez; Galina V. Glazko; Matthias Dehmer; Frank Emmert-Streib (Bioinform., 2016)

Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules. - Shailesh Tripathi; Salissou Moutari; Matthias Dehmer; Frank Emmert-Streib (BMC Bioinform., 2016)

Fifty years of graph matching, network alignment and network comparison. - Frank Emmert-Streib; Matthias Dehmer; Yongtang Shi (Inf. Sci., 2016)

Toward Measuring Network Aesthetics Based on Symmetry. - Zengqiang Chen 001; Matthias Dehmer; Frank Emmert-Streib; Abbe Mowshowitz; Yongtang Shi (Axioms, 2017)

A review of connectivity map and computational approaches in pharmacogenomics. - Aliyu Musa; Laleh Soltan Ghoraie; Shu-Dong Zhang; Galina V. Glazko; Olli Yli-Harja; Matthias Dehmer; Benjamin Haibe-Kains; Frank Emmert-Streib (Briefings Bioinform., 2017)

GSAR: Bioconductor package for Gene Set analysis in R. - Yasir Rahmatallah; Boris L. Zybailov; Frank Emmert-Streib; Galina V. Glazko (BMC Bioinform., 2017)

sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters. - Shailesh Tripathi; Jason Lloyd-Price; Andre S. Ribeiro; Olli Yli-Harja; Matthias Dehmer; Frank Emmert-Streib (BMC Bioinform., 2017)

MetrIntMeas a novel metric for measuring the intelligence of a swarm of cooperating agents. - László Barna Iantovics; Frank Emmert-Streib; Sabri Arik (Cogn. Syst. Res., 2017)

Highly unique network descriptors based on the roots of the permanental polynomial. - Matthias Dehmer; Frank Emmert-Streib; Bo Hu; Yongtang Shi; Monica Stefu; Shailesh Tripathi (Inf. Sci., 2017)

Quantitative Graph Theory: A new branch of graph theory and network science. - Matthias Dehmer; Frank Emmert-Streib; Yongtang Shi (Inf. Sci., 2017)

Understanding the World Economy in Terms of Networks: A Survey of Data-Based Network Science Approaches on Economic Networks. - Frank Emmert-Streib; Shailesh Tripathi; Olli Yli-Harja; Matthias Dehmer (Frontiers Appl. Math. Stat., 2018)

Data Analytics Applications for Streaming Data From Social Media: What to Predict? - Frank Emmert-Streib; Olli P. Yli-Harja; Matthias Dehmer (Frontiers Big Data, 2018)

Graph measures with high discrimination power revisited: A random polynomial approach. - Matthias Dehmer; Zengqiang Chen 001; Frank Emmert-Streib; Yongtang Shi; Shailesh Tripathi (Inf. Sci., 2018)

MetrIntSimil - An Accurate and Robust Metric for Comparison of Similarity in Intelligence of Any Number of Cooperative Multiagent Systems. - László Barna Iantovics; Matthias Dehmer; Frank Emmert-Streib (Symmetry, 2018)

On efficient network similarity measures. - Matthias Dehmer; Zengqiang Chen 001; Yongtang Shi; Yusen Zhang 002; Shailesh Tripathi; Modjtaba Ghorbani; Abbe Mowshowitz; Frank Emmert-Streib (Appl. Math. Comput., 2019)

Hosoya entropy of fullerene graphs. - Modjtaba Ghorbani; Matthias Dehmer; Mina Rajabi-Parsa; Frank Emmert-Streib; Abbe Mowshowitz (Appl. Math. Comput., 2019)

Graph entropy based on the number of spanning forests of c-cyclic graphs. - Pengfei Wan; Jianhua Tu; Matthias Dehmer; Shenggui Zhang; Frank Emmert-Streib (Appl. Math. Comput., 2019)

A Graph Theoretic Approach to Construct Desired Cryptographic Boolean Functions. - Modjtaba Ghorbani; Matthias Dehmer; Vahid Taghvayi-Yazdelli; Frank Emmert-Streib (Axioms, 2019)

A Note on Distance-Based Entropy of Dendrimers. - Modjtaba Ghorbani; Matthias Dehmer; Samaneh Zangi; Abbe Mowshowitz; Frank Emmert-Streib (Axioms, 2019)

On Properties of Distance-Based Entropies on Fullerene Graphs. - Modjtaba Ghorbani; Matthias Dehmer; Mina Rajabi-Parsa; Abbe Mowshowitz; Frank Emmert-Streib (Entropy, 2019)

A Note on Graphs with Prescribed Orbit Structure. - Abbe Mowshowitz; Matthias Dehmer; Frank Emmert-Streib (Entropy, 2019)

Constrained Covariance Matrices With a Biologically Realistic Structure: Comparison of Methods for Generating High-Dimensional Gaussian Graphical Models. - Frank Emmert-Streib; Shailesh Tripathi; Matthias Dehmer (Frontiers Appl. Math. Stat., 2019)

Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach. - Matthias Dehmer; Zengqiang Chen 001; Frank Emmert-Streib; Abbe Mowshowitz; Yongtang Shi; Shailesh Tripathi; Yusen Zhang 002 (Inf. Sci., 2019)

On the degeneracy of the Randić entropy and related graph measures. - Matthias Dehmer; Zengqiang Chen 001; Abbe Mowshowitz; Herbert Jodlbauer; Frank Emmert-Streib; Yongtang Shi; Shailesh Tripathi; Chengyi Xia (Inf. Sci., 2019)

Hermitian normalized Laplacian matrix for directed networks. - Guihai Yu; Matthias Dehmer; Frank Emmert-Streib; Herbert Jodlbauer (Inf. Sci., 2019)

Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations? - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

Defining Data Science by a Data-Driven Quantification of the Community. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

Large-Scale Simultaneous Inference with Hypothesis Testing: Multiple Testing Procedures in Practice. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

Introduction to Survival Analysis in Practice. - Frank Emmert-Streib; Matthias Dehmer (Mach. Learn. Knowl. Extr., 2019)

Exploiting Genomic Relations in Big Data Repositories by Graph-Based Search Methods. - Aliyu Musa; Matthias Dehmer; Olli Yli-Harja; Frank Emmert-Streib (Mach. Learn. Knowl. Extr., 2019)

The Hosoya Entropy of Graphs Revisited. - Modjtaba Ghorbani; Matthias Dehmer; Abbe Mowshowitz; Jin Tao; Frank Emmert-Streib (Symmetry, 2019)

The Maximum Hosoya Index of Unicyclic Graphs with Diameter at Most Four. - Weijun Liu; Jingwen Ban; Lihua Feng; Tao Cheng; Frank Emmert-Streib; Matthias Dehmer (Symmetry, 2019)

A comprehensive survey of error measures for evaluating binary decision making in data science. - Frank Emmert-Streib; Salissou Moutari; Matthias Dehmer (WIREs Data Mining Knowl. Discov., 2019)

The Orbit-Polynomial: A Novel Measure of Symmetry in Networks. - Matthias Dehmer; Zengqiang Chen 001; Frank Emmert-Streib; Abbe Mowshowitz; Kurt Varmuza; Lihua Feng; Herbert Jodlbauer; Yongtang Shi; Jin Tao (IEEE Access, 2020)

Distributed Event-Triggered Circular Formation Control for Multiple Anonymous Mobile Robots With Order Preservation and Obstacle Avoidance. - Peng Xu; Wenxiang Li; Jin Tao; Matthias Dehmer; Frank Emmert-Streib; Guangming Xie; Minyi Xu; Quan Zhou 001 (IEEE Access, 2020)

Relations and bounds for the zeros of graph polynomials using vertex orbits. - Matthias Dehmer; Frank Emmert-Streib; Abbe Mowshowitz; Aleksandar Ilic; Zengqiang Chen 001; Guihai Yu; Lihua Feng; Modjtaba Ghorbani; Kurt Varmuza; Jin Tao (Appl. Math. Comput., 2020)

The watching system as a generalization of identifying code. - Modjtaba Ghorbani; Matthias Dehmer; Hamidreza Maimani; Sheyda Maddah; Maryam Roozbayani; Frank Emmert-Streib (Appl. Math. Comput., 2020)

A novel epidemic model considering demographics and intercity commuting on complex dynamical networks. - Qian Yin; Zhishuang Wang; Chengyi Xia; Matthias Dehmer; Frank Emmert-Streib; Zhen Jin 001 (Appl. Math. Comput., 2020)

A clarification of misconceptions, myths and desired status of artificial intelligence. - Frank Emmert-Streib; Olli Yli-Harja; Matthias Dehmer (CoRR, 2020)

From the digital data revolution to digital health and digital economy toward a digital society: Pervasiveness of Artificial Intelligence. - Frank Emmert-Streib (CoRR, 2020)

Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status. - Frank Emmert-Streib; Olli Yli-Harja; Matthias Dehmer (Frontiers Artif. Intell., 2020)

An Introductory Review of Deep Learning for Prediction Models With Big Data. - Frank Emmert-Streib; Zhen Yang 029; Han Feng; Shailesh Tripathi; Matthias Dehmer (Frontiers Artif. Intell., 2020)

On the zeros of the partial Hosoya polynomial of graphs. - Modjtaba Ghorbani; Matthias Dehmer; Shujuan Cao; Lihua Feng; Jin Tao; Frank Emmert-Streib (Inf. Sci., 2020)

On graph entropy measures based on the number of independent sets and matchings. - Pengfei Wan; Xinzhuang Chen; Jianhua Tu; Matthias Dehmer; Shenggui Zhang; Frank Emmert-Streib (Inf. Sci., 2020)

The Role of Symmetry in the Aesthetics of Residential Building Façades Using Cognitive Science Methods. - Hamidreza Azemati; Fatemeh Jam; Modjtaba Ghorbani; Matthias Dehmer; Reza Ebrahimpour; Abdolhamid Ghanbaran; Frank Emmert-Streib (Symmetry, 2020)

On the Degeneracy of the Orbit Polynomial and Related Graph Polynomials. - Modjtaba Ghorbani; Matthias Dehmer; Frank Emmert-Streib (Symmetry, 2020)

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. - Weijun Liu; Jingwen Ban; Lihua Feng; Tao Cheng; Frank Emmert-Streib; Matthias Dehmer (Symmetry, 2020)

Partition and Colored Distances in Graphs Induced to Subsets of Vertices and Some of Its Applications. - Mohammad Javad Nadjafi-Arani; Mahsa Mirzargar; Frank Emmert-Streib; Matthias Dehmer (Symmetry, 2020)

Explainable artificial intelligence and machine learning: A reality rooted perspective. - Frank Emmert-Streib; Olli Yli-Harja; Matthias Dehmer (WIREs Data Mining Knowl. Discov., 2020)

Identifying key interactions between process variables of different material categories using mutual information-based network inference method. - Shailesh Tripathi; Herbert Jodlbauer; Christian Mittermayr; Frank Emmert-Streib (ISM, 2021)

Data-Driven Computational Social Network Science: Predictive and Inferential Models for Web-Enabled Scientific Discoveries. - Frank Emmert-Streib; Matthias Dehmer (Frontiers Big Data, 2021)

Editorial: Artificial Intelligence for Precision Medicine. - Jun Deng; Thomas Hartung; Enrico Capobianco; Jake Y. Chen; Frank Emmert-Streib (Frontiers Artif. Intell., 2021)

Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing. - Shailesh Tripathi; David Muhr; Manuel Brunner; Herbert Jodlbauer; Matthias Dehmer; Frank Emmert-Streib (Frontiers Artif. Intell., 2021)

On the relationship between PageRank and automorphisms of a graph. - Modjtaba Ghorbani; Matthias Dehmer; Abdullah Lotfi; Najaf Amraei; Abbe Mowshowitz; Frank Emmert-Streib (Inf. Sci., 2021)

Relationships between symmetry-based graph measures. - Yuede Ma; Matthias Dehmer; Urs-Martin Künzi; Abbe Mowshowitz; Shailesh Tripathi; Modjtaba Ghorbani; Frank Emmert-Streib (Inf. Sci., 2021)

From the Digital Data Revolution toward a Digital Society: Pervasiveness of Artificial Intelligence. - Frank Emmert-Streib (Mach. Learn. Knowl. Extr., 2021)

Properties of Commuting Graphs over Semidihedral Groups. - Tao Cheng; Matthias Dehmer; Frank Emmert-Streib; Yongtao Li; Weijun Liu (Symmetry, 2021)

Szeged-like entropies of graphs. - Matthias Dehmer; Frank Emmert-Streib; Niko Tratnik; Petra Zigert Pletersek (Appl. Math. Comput., 2022)

Evaluation of Question Answering Systems: Complexity of judging a natural language. - Amer Farea; Zhen Yang 029; Kien Duong; Nadeesha Perera; Frank Emmert-Streib (CoRR, 2022)

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. - Andreas Holzinger; Matthias Dehmer; Frank Emmert-Streib; Rita Cucchiara; Isabelle Augenstein; Javier Del Ser; Wojciech Samek; Igor Jurisica; Natalia Díaz Rodríguez (Inf. Fusion, 2022)

A data-centric review of deep transfer learning with applications to text data. - Samar Bashath; Nadeesha Perera; Shailesh Tripathi; Kalifa Manjang; Matthias Dehmer; Frank Emmert-Streib (Inf. Sci., 2022)

The usefulness of topological indices. - Yuede Ma; Matthias Dehmer; Urs-Martin Künzi; Shailesh Tripathi; Modjtaba Ghorbani; Jin Tao; Frank Emmert-Streib (Inf. Sci., 2022)

Comparison of Text Mining Models for Food and Dietary Constituent Named-Entity Recognition. - Nadeesha Perera; Thi Thuy Linh Nguyen; Matthias Dehmer; Frank Emmert-Streib (Mach. Learn. Knowl. Extr., 2022)

Taxonomy of machine learning paradigms: A data-centric perspective. - Frank Emmert-Streib; Matthias Dehmer (WIREs Data Mining Knowl. Discov., 2022)

Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure. - Frank Emmert-Streib; Shailesh Tripathi; Matthias Dehmer (IEEE Access, 2023)

Threshold-Learned CNN for Multi-Label Text Classification of Electronic Health Records. - Zhen Yang 029; Frank Emmert-Streib (IEEE Access, 2023)

Editorial: Insights in AI: Medicine and public health 2022. - Thomas Hartung; Jun Deng; Raghvendra Mall; Alejandro F. Frangi; Frank Emmert-Streib; Tuan D. Pham (Frontiers Artif. Intell., 2023)

Defining a Digital Twin: A Data Science-Based Unification. - Frank Emmert-Streib (Mach. Learn. Knowl. Extr., 2023)

Advanced Scientometric Analysis of Scientific Machine Learning and PINNs: Topic Modeling and Trend Analysis. - Frank Emmert-Streib; Shailesh Tripathi; Amer Farea; Olli Yli-Harja (IEEE Access, 2024)

Is ChatGPT the way toward artificial general intelligence. - Frank Emmert-Streib (Discov. Artif. Intell., 2024)

Investigating the optimal number of topics by advanced text-mining techniques: Sustainable energy research. - Amer Farea; Shailesh Tripathi; Galina V. Glazko; Frank Emmert-Streib (Eng. Appl. Artif. Intell., 2024)

Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length. - Amer Farea; Frank Emmert-Streib (J. Artif. Intell. Res., 2024)

Optimal performance of Binary Relevance CNN in targeted multi-label text classification. - Zhen Yang 029; Frank Emmert-Streib (Knowl. Based Syst., 2024)

Human Team Behavior and Predictability in the Massively Multiplayer Online Game WOT Blitz. - Frank Emmert-Streib; Shailesh Tripathi; Matthias Dehmer (ACM Trans. Web, 2024)

Aspects on the optimal decoupling point setting problem. - Herbert Jodlbauer; Matthias Dehmer; Frank Emmert-Streib (Appl. Math. Comput., 2025)

Understanding question-answering systems: Evolution, applications, trends, and challenges. - Amer Farea; Frank Emmert-Streib (Eng. Appl. Artif. Intell., 2025)

Deep mining the textual gold in relation extraction. - Tanvi Sharma; Frank Emmert-Streib (Artif. Intell. Rev., 2025)