Johannes Textor

41 papers A* 3A 9C 1Journal 18Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A conf
Classifier Systems as Linear Probability Models.
GECCO
Gijs Schröder, Johannes Textor
2025 A conf
Expert-In-The-Loop Causal Discovery: Iterative Model Refinement Using Expert Knowledge.
UAI
Ankur Ankan, Johannes Textor
2024 A* conf
A Uniformly Bounded Correlation Function for Spatial Point Patterns.
KDD
Evgenia Martynova, Johannes Textor
2024 C conf
Fitting Stochastic Lattice Models Using Approximate Gradients.
ECMS
an Schering, Sander W. Keemink, Johannes Textor
2024 — conf
Population-Based Algorithms Built on Weighted Automata.
PPSN (3)
Gijs Schröder, Inge M. N. Wortel, Johannes Textor
2024 J jnl
pgmpy: A Python Toolkit for Bayesian Networks.
J. Mach. Learn. Res.
Ankur Ankan, Johannes Textor
2023 A* conf
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data.
AAAI
Ankur Ankan, Johannes Textor
2023 A conf
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models.
AISTATS
Ankur Ankan, Inge M. N. Wortel, Kenneth Bollen, Johannes Textor
2023 J jnl
Corrigendum to "Separators and adjustment sets in causal graphs: Complete criteria and an algorithmic framework" [Artif. Intell. 270 (2019) 1-40].
Artif. Intell.
Benito van der Zander, Maciej Liskiewicz, Johannes Textor
2023 J jnl
Implementing Immune Repertoire Models Using Weighted Finite State Machines.
CoRR
Gijs Schröder, Inge M. N. Wortel, Johannes Textor
2023 J jnl
Interpreting T-cell search "strategies" in the light of evolution under constraints.
PLoS Comput. Biol.
Inge M. N. Wortel, Johannes Textor
2023 J jnl
pgmpy: A Python Toolkit for Bayesian Networks.
CoRR
Ankur Ankan, Johannes Textor
2022 J jnl
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data.
CoRR
Ankur Ankan, Johannes Textor
2019 J jnl
Separators and adjustment sets in causal graphs: Complete criteria and an algorithmic framework.
Artif. Intell.
Benito van der Zander, Maciej Liskiewicz, Johannes Textor
2018 J jnl
Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework.
CoRR
Benito van der Zander, Maciej Liskiewicz, Johannes Textor
2017 J jnl
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs.
J. Mach. Learn. Res.
Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis
2015 A conf
A Complete Generalized Adjustment Criterion.
UAI
Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis
2015 J jnl
Crawling and Gliding: A Computational Model for Shape-Driven Cell Migration.
PLoS Comput. Biol.
Ioana Niculescu, Johannes Textor, Rob J. De Boer
2015 J jnl
Drawing and Analyzing Causal DAGs with DAGitty.
CoRR
Johannes Textor
2015 A* conf
Efficiently Finding Conditional Instruments for Causal Inference.
IJCAI
Benito van der Zander, Johannes Textor, Maciej Liskiewicz
2015 A conf
Learning from Pairwise Marginal Independencies.
UAI
Johannes Textor, Alexander Idelberger, Maciej Liskiewicz
2015 J jnl
Learning from Pairwise Marginal Independencies.
CoRR
Johannes Textor, Alexander Idelberger, Maciej Liskiewicz
2014 A conf
A generic finite automata based approach to implementing lymphocyte repertoire models.
GECCO
Johannes Textor, Katharina Dannenberg, Maciej Liskiewicz
2014 — conf
Constructing Separators and Adjustment Sets in Ancestral Graphs.
CI@UAI
Benito van der Zander, Maciej Liskiewicz, Johannes Textor
2014 A conf
Constructing Separators and Adjustment Sets in Ancestral Graphs.
UAI
Benito van der Zander, Maciej Liskiewicz, Johannes Textor
2014 J jnl
Random Migration and Signal Integration Promote Rapid and Robust T Cell Recruitment.
PLoS Comput. Biol.
Johannes Textor, Sarah E. Henrickson, Judith N. Mandl, Ulrich H. von Andrian, Jürgen Westermann, Rob J. De Boer, Joost B. Beltman
2013 J jnl
Analytical results on the Beauchemin model of lymphocyte migration.
BMC Bioinform.
Johannes Textor, Mathieu Sinn, Rob J. De Boer
2013 J jnl
Search and Learning in the Immune System: Models of Immune Surveillance and Negative Selection.
it Inf. Technol.
Johannes Textor
2012 — conf
A Comparative Study of Negative Selection Based Anomaly Detection in Sequence Data.
ICARIS
Johannes Textor
2012 J jnl
Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective
CoRR
Johannes Textor, Maciej Liskiewicz
2012 — conf
Efficient Negative Selection Algorithms by Sampling and Approximate Counting.
PPSN (1)
Johannes Textor
2012 — —
Search and learning in the immune system : models of immune surveillance and negative selection.
Johannes Textor
2011 A conf
Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective.
UAI
Johannes Textor, Maciej Liskiewicz
2011 J jnl
Negative selection algorithms on strings with efficient training and linear-time classification.
Theor. Comput. Sci.
Michael Elberfeld, Johannes Textor
2011 — conf
Stochastic Search with Locally Clustered Targets: Learning from T Cells.
ICARIS
Rüdiger Reischuk, Johannes Textor
2011 — ch.
Suche und Lernen im Immunsystem - Modelle der T-Zell-Immunüberwachung und der Negativauslese.
Ausgezeichnete Informatikdissertationen
Johannes Textor
2010 A conf
Negative selection algorithms without generating detectors.
GECCO
Maciej Liskiewicz, Johannes Textor
2009 — conf
An XML Pipeline Based System Architecture for Managing Bibliographic Metadata.
MTSR
Johannes Textor, Benjamin Feldner
2009 — conf
Efficient Algorithms for String-Based Negative Selection.
ICARIS
Michael Elberfeld, Johannes Textor
2009 J jnl
Hybrid Simulation Algorithms for an Agent-Based Model of the Immune Response.
Cybern. Syst.
Johannes Textor, Björn Hansen
2007 — conf
Modeling Migration, Compartmentalization and Exit of Naive T Cells in Lymph Nodes Without Chemotaxis.
ICARIS
Johannes Textor, Jürgen Westermann