Modeling Migration, Compartmentalization and Exit of Naive T Cells in Lymph Nodes Without Chemotaxis. - Johannes Textor; Jürgen Westermann (ICARIS, 2007)

Efficient Algorithms for String-Based Negative Selection. - Michael Elberfeld; Johannes Textor (ICARIS, 2009)

An XML Pipeline Based System Architecture for Managing Bibliographic Metadata. - Johannes Textor; Benjamin Feldner (MTSR, 2009)

Hybrid Simulation Algorithms for an Agent-Based Model of the Immune Response. - Johannes Textor; Björn Hansen (Cybern. Syst., 2009)

Negative selection algorithms without generating detectors. - Maciej Liskiewicz; Johannes Textor (GECCO, 2010)

Suche und Lernen im Immunsystem - Modelle der T-Zell-Immunüberwachung und der Negativauslese. - Johannes Textor (Ausgezeichnete Informatikdissertationen, 2011)

Stochastic Search with Locally Clustered Targets: Learning from T Cells. - Rüdiger Reischuk; Johannes Textor (ICARIS, 2011)

Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective. - Johannes Textor; Maciej Liskiewicz (UAI, 2011)

Negative selection algorithms on strings with efficient training and linear-time classification. - Michael Elberfeld; Johannes Textor (Theor. Comput. Sci., 2011)

A Comparative Study of Negative Selection Based Anomaly Detection in Sequence Data. - Johannes Textor (ICARIS, 2012)

Efficient Negative Selection Algorithms by Sampling and Approximate Counting. - Johannes Textor (PPSN (1), 2012)

Search and learning in the immune system : models of immune surveillance and negative selection. - Johannes Textor (2012)

Analytical results on the Beauchemin model of lymphocyte migration. - Johannes Textor; Mathieu Sinn; Rob J. De Boer (BMC Bioinform., 2013)

Search and Learning in the Immune System: Models of Immune Surveillance and Negative Selection. - Johannes Textor (it Inf. Technol., 2013)

A generic finite automata based approach to implementing lymphocyte repertoire models. - Johannes Textor; Katharina Dannenberg; Maciej Liskiewicz (GECCO, 2014)

Constructing Separators and Adjustment Sets in Ancestral Graphs. - Benito van der Zander; Maciej Liskiewicz; Johannes Textor (UAI, 2014)

Random Migration and Signal Integration Promote Rapid and Robust T Cell Recruitment. - Johannes Textor; Sarah E. Henrickson; Judith N. Mandl; Ulrich H. von Andrian; Jürgen Westermann; Rob J. De Boer; Joost B. Beltman (PLoS Comput. Biol., 2014)

Efficiently Finding Conditional Instruments for Causal Inference. - Benito van der Zander; Johannes Textor; Maciej Liskiewicz (IJCAI, 2015)

A Complete Generalized Adjustment Criterion. - Emilija Perkovic; Johannes Textor; Markus Kalisch; Marloes H. Maathuis (UAI, 2015)

Learning from Pairwise Marginal Independencies. - Johannes Textor; Alexander Idelberger; Maciej Liskiewicz (UAI, 2015)

Drawing and Analyzing Causal DAGs with DAGitty. - Johannes Textor (CoRR, 2015)

Crawling and Gliding: A Computational Model for Shape-Driven Cell Migration. - Ioana Niculescu; Johannes Textor; Rob J. De Boer (PLoS Comput. Biol., 2015)

Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs. - Emilija Perkovic; Johannes Textor; Markus Kalisch; Marloes H. Maathuis (J. Mach. Learn. Res., 2017)

Separators and adjustment sets in causal graphs: Complete criteria and an algorithmic framework. - Benito van der Zander; Maciej Liskiewicz; Johannes Textor (Artif. Intell., 2019)

A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data. - Ankur Ankan; Johannes Textor (AAAI, 2023)

Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models. - Ankur Ankan; Inge M. N. Wortel; Kenneth Bollen; Johannes Textor (AISTATS, 2023)

pgmpy: A Python Toolkit for Bayesian Networks. - Ankur Ankan; Johannes Textor (CoRR, 2023)

Implementing Immune Repertoire Models Using Weighted Finite State Machines. - Gijs Schröder; Inge M. N. Wortel; Johannes Textor (CoRR, 2023)

Interpreting T-cell search "strategies" in the light of evolution under constraints. - Inge M. N. Wortel; Johannes Textor (PLoS Comput. Biol., 2023)

Corrigendum to "Separators and adjustment sets in causal graphs: Complete criteria and an algorithmic framework" [Artif. Intell. 270 (2019) 1-40]. - Benito van der Zander; Maciej Liskiewicz; Johannes Textor (Artif. Intell., 2023)

Fitting Stochastic Lattice Models Using Approximate Gradients. - an Schering; Sander W. Keemink; Johannes Textor (ECMS, 2024)

A Uniformly Bounded Correlation Function for Spatial Point Patterns. - Evgenia Martynova; Johannes Textor (KDD, 2024)

Population-Based Algorithms Built on Weighted Automata. - Gijs Schröder; Inge M. N. Wortel; Johannes Textor (PPSN (3), 2024)

Classifier Systems as Linear Probability Models. - Gijs Schröder; Johannes Textor (GECCO, 2025)

Expert-In-The-Loop Causal Discovery: Iterative Model Refinement Using Expert Knowledge. - Ankur Ankan; Johannes Textor (UAI, 2025)