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Johannes Textor
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2020 – today
- 2024
- [c18]an Schering, Sander W. Keemink, Johannes Textor:
Fitting Stochastic Lattice Models Using Approximate Gradients. ECMS 2024: 366-373 - [c17]Evgenia Martynova, Johannes Textor:
A Uniformly Bounded Correlation Function for Spatial Point Patterns. KDD 2024: 2177-2188 - 2023
- [j10]Benito van der Zander, Maciej Liskiewicz, Johannes Textor:
Corrigendum to "Separators and adjustment sets in causal graphs: Complete criteria and an algorithmic framework" [Artif. Intell. 270 (2019) 1-40]. Artif. Intell. 321: 103938 (2023) - [j9]Inge M. N. Wortel
, Johannes Textor
:
Interpreting T-cell search "strategies" in the light of evolution under constraints. PLoS Comput. Biol. 19(2) (2023) - [c16]Ankur Ankan, Johannes Textor:
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data. AAAI 2023: 12180-12188 - [c15]Ankur Ankan, Inge M. N. Wortel, Kenneth Bollen, Johannes Textor:
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models. AISTATS 2023: 7252-7264 - [i7]Ankur Ankan, Johannes Textor:
pgmpy: A Python Toolkit for Bayesian Networks. CoRR abs/2304.08639 (2023) - [i6]Gijs Schröder, Inge M. N. Wortel, Johannes Textor:
Implementing Immune Repertoire Models Using Weighted Finite State Machines. CoRR abs/2308.03637 (2023) - 2022
- [i5]Ankur Ankan, Johannes Textor:
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data. CoRR abs/2206.04356 (2022)
2010 – 2019
- 2019
- [j8]Benito van der Zander, Maciej Liskiewicz
, Johannes Textor:
Separators and adjustment sets in causal graphs: Complete criteria and an algorithmic framework. Artif. Intell. 270: 1-40 (2019) - 2018
- [i4]Benito van der Zander, Maciej Liskiewicz, Johannes Textor:
Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework. CoRR abs/1803.00116 (2018) - 2017
- [j7]Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis:
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs. J. Mach. Learn. Res. 18: 220:1-220:62 (2017) - 2015
- [j6]Ioana Niculescu, Johannes Textor
, Rob J. De Boer
:
Crawling and Gliding: A Computational Model for Shape-Driven Cell Migration. PLoS Comput. Biol. 11(10) (2015) - [c14]Benito van der Zander, Johannes Textor, Maciej Liskiewicz:
Efficiently Finding Conditional Instruments for Causal Inference. IJCAI 2015: 3243-3249 - [c13]Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis:
A Complete Generalized Adjustment Criterion. UAI 2015: 682-691 - [c12]Johannes Textor, Alexander Idelberger, Maciej Liskiewicz:
Learning from Pairwise Marginal Independencies. UAI 2015: 882-891 - [i3]Johannes Textor, Alexander Idelberger, Maciej Liskiewicz:
Learning from Pairwise Marginal Independencies. CoRR abs/1508.00280 (2015) - [i2]Johannes Textor:
Drawing and Analyzing Causal DAGs with DAGitty. CoRR abs/1508.04633 (2015) - 2014
- [j5]Johannes Textor
, Sarah E. Henrickson
, Judith N. Mandl, Ulrich H. von Andrian, Jürgen Westermann, Rob J. De Boer
, Joost B. Beltman
:
Random Migration and Signal Integration Promote Rapid and Robust T Cell Recruitment. PLoS Comput. Biol. 10(8) (2014) - [c11]Johannes Textor
, Katharina Dannenberg
, Maciej Liskiewicz:
A generic finite automata based approach to implementing lymphocyte repertoire models. GECCO 2014: 129-136 - [c10]Benito van der Zander, Maciej Liskiewicz, Johannes Textor:
Constructing Separators and Adjustment Sets in Ancestral Graphs. CI@UAI 2014: 11-24 - [c9]Benito van der Zander, Maciej Liskiewicz, Johannes Textor:
Constructing Separators and Adjustment Sets in Ancestral Graphs. UAI 2014: 907-916 - 2013
- [j4]Johannes Textor
, Mathieu Sinn, Rob J. De Boer:
Analytical results on the Beauchemin model of lymphocyte migration. BMC Bioinform. 14(S-6): S10 (2013) - [j3]Johannes Textor:
Search and Learning in the Immune System: Models of Immune Surveillance and Negative Selection. it Inf. Technol. 55(1): 34-39 (2013) - 2012
- [b1]Johannes Textor:
Search and learning in the immune system : models of immune surveillance and negative selection. University of Lübeck, 2012 - [c8]Johannes Textor
:
A Comparative Study of Negative Selection Based Anomaly Detection in Sequence Data. ICARIS 2012: 28-41 - [c7]Johannes Textor
:
Efficient Negative Selection Algorithms by Sampling and Approximate Counting. PPSN (1) 2012: 32-41 - [i1]Johannes Textor, Maciej Liskiewicz:
Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective. CoRR abs/1202.3764 (2012) - 2011
- [j2]Michael Elberfeld, Johannes Textor
:
Negative selection algorithms on strings with efficient training and linear-time classification. Theor. Comput. Sci. 412(6): 534-542 (2011) - [c6]Rüdiger Reischuk, Johannes Textor
:
Stochastic Search with Locally Clustered Targets: Learning from T Cells. ICARIS 2011: 146-159 - [c5]Johannes Textor, Maciej Liskiewicz:
Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective. UAI 2011: 681-688 - [p1]Johannes Textor:
Suche und Lernen im Immunsystem - Modelle der T-Zell-Immunüberwachung und der Negativauslese. Ausgezeichnete Informatikdissertationen 2011: 231-240 - 2010
- [c4]Maciej Liskiewicz, Johannes Textor
:
Negative selection algorithms without generating detectors. GECCO 2010: 1047-1054
2000 – 2009
- 2009
- [j1]Johannes Textor
, Björn Hansen:
Hybrid Simulation Algorithms for an Agent-Based Model of the Immune Response. Cybern. Syst. 40(5): 390-417 (2009) - [c3]Michael Elberfeld, Johannes Textor
:
Efficient Algorithms for String-Based Negative Selection. ICARIS 2009: 109-121 - [c2]Johannes Textor
, Benjamin Feldner:
An XML Pipeline Based System Architecture for Managing Bibliographic Metadata. MTSR 2009: 130-140 - 2007
- [c1]Johannes Textor, Jürgen Westermann:
Modeling Migration, Compartmentalization and Exit of Naive T Cells in Lymph Nodes Without Chemotaxis. ICARIS 2007: 228-239
Coauthor Index
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last updated on 2024-08-28 22:25 CEST by the dblp team
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