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Hans A. Kestler
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2020 – today
- 2024
- [j73]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 2 of volume 18 (2024). Adv. Data Anal. Classif. 18(2): 245-249 (2024) - [j72]Felix M. Weidner
, Nensi Ikonomi
GatekeepR: an R Shiny application for the identification of nodes with high dynamic impact in Boolean networks. Bioinform. 40(1) (2024) - [j71]Ludwig Lausser, Robin Szekely, Hans A. Kestler
Permutation-invariant linear classifiers. Mach. Learn. 113(10): 7195-7221 (2024) - [j70]Raffaela Groner
Enhanced performance prediction of ATL model transformations. Perform. Evaluation 164: 102413 (2024) - [c41]Paul Kaftan
Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation of Lung Fissures with a Graph CNN. Bildverarbeitung für die Medizin 2024: 60-65 - [i3]Mirko Rossini, Felix M. Weidner, Joachim Ankerhold, Hans A. Kestler:
A Novel Quantum Algorithm for Efficient Attractor Search in Gene Regulatory Networks. CoRR abs/2408.08814 (2024) - 2023
- [j69]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 1 of volume 17 (2023). Adv. Data Anal. Classif. 17(1): 1-4 (2023) - [j68]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 2 of volume 17 (2023). Adv. Data Anal. Classif. 17(2): 287-290 (2023) - [j67]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 3 of volume 17 (2023). Adv. Data Anal. Classif. 17(3): 545-548 (2023) - [j66]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 4 of volume 17 (2023). Adv. Data Anal. Classif. 17(4): 823-827 (2023) - [j65]Axel Fürstberger
AMBAR - Interactive Alteration annotations for molecular tumor boards. Comput. Methods Programs Biomed. 240: 107697 (2023) - [j64]Patrick Thiam
Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images. Frontiers Artif. Intell. 6 (2023) - [j63]Matthias Ganzinger
Federated electronic data capture (fEDC): Architecture and prototype. J. Biomed. Informatics 138: 104280 (2023) - [j62]Felix M. Weidner, Julian D. Schwab, Sabine Wölk, Felix Rupprecht, Nensi Ikonomi, Silke D. Werle
Leveraging quantum computing for dynamic analyses of logical networks in systems biology. Patterns 4(3): 100705 (2023) - [j61]Felix Beierle
Self-Assessment of Having COVID-19 With the Corona Check mHealth App. IEEE J. Biomed. Health Informatics 27(6): 2794-2805 (2023) - [c40]Daniel Hieber, Georg Prokop, Maximilian Karthan, Felix Holl
Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset. CBMS 2023: 904-909 - [c39]Tobias B. Ricken
Pain Recognition Differences between Female and Male Subjects: An Analysis based on the Physiological Signals of the X-ITE Pain Database. ICMI Companion 2023: 121-130 - [d1]Raffaela Groner
Data Set for Enhanced Performance Prediction of ATL Model Transformations. Zenodo, 2023 - 2022
- [j60]Peter Bellmann
Machine Learning-Based Pain Intensity Estimation: Where Pattern Recognition Meets Chaos Theory - An Example Based on the BioVid Heat Pain Database. IEEE Access 10: 102770-102777 (2022) - [j59]Maurizio Vichi, Andrea Ceroli, Hans A. Kestler
Editorial for ADAC issue 3 of volume 16 (2022). Adv. Data Anal. Classif. 16(3): 487-490 (2022) - [j58]Maurizio Vichi, Andrea Ceroli, Hans A. Kestler
Editorial for ADAC issue 4 of volume 16 (2022). Adv. Data Anal. Classif. 16(4): 817-821 (2022) - [j57]Sarah Friedrich
Is there a role for statistics in artificial intelligence? Adv. Data Anal. Classif. 16(4): 823-846 (2022) - [j56]Felix M. Weidner
Response to the letter to the editor: On the feasibility of dynamical analysis of network models of biochemical regulation. Bioinform. 38(14): 3676 (2022) - [j55]Christoph Müssel, Nensi Ikonomi
CANTATA - prediction of missing links in Boolean networks using genetic programming. Bioinform. 38(21): 4893-4900 (2022) - [c38]Maximilian Karthan, Paul Romahn, Rüdiger Pryss, Hans A. Kestler, Johannes Schobel:
Collecting Data from Senior Citizens Using Serious Games. ICIMTH 2022: 234-237 - [c37]Patrick Thiam
Deep Learning Architectures for Pain Recognition Based on Physiological Signals. ICPR Workshops (1) 2022: 349-358 - 2021
- [j54]Julian D. Schwab
Perspective on mHealth Concepts to Ensure Users' Empowerment-From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment. IEEE Access 9: 83863-83875 (2021) - [j53]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler
Editorial for ADAC issue 1 of volume 15 (2021). Adv. Data Anal. Classif. 15(1): 1-4 (2021) - [j52]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler
Editorial for ADAC issue 2 of volume 15 (2021). Adv. Data Anal. Classif. 15(2): 261-265 (2021) - [j51]André Müller, Ludwig Lausser, Adalbert F. X. Wilhelm, Timo Ropinski
A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data. Adv. Data Anal. Classif. 15(2): 463-480 (2021) - [j50]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler
Editorial for ADAC issue 3 of volume 15 (2021). Adv. Data Anal. Classif. 15(3): 543-546 (2021) - [j49]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler
Editorial for ADAC issue 4 of volume 15 (2021). Adv. Data Anal. Classif. 15(4): 825-828 (2021) - [j48]Gunnar Völkel, Simon Laban
Analysis, identification and visualization of subgroups in genomics. Briefings Bioinform. 22(3) (2021) - [j47]Gerhard Mayer
Implementing FAIR data management within the German Network for Bioinformatics Infrastructure (de.NBI) exemplified by selected use cases. Briefings Bioinform. 22(5) (2021) - [j46]Gunnar Völkel, Simon Laban, Axel Fürstberger, Silke D. Kühlwein
Erratum to: Analysis, identification and visualization of subgroups in genomics. Briefings Bioinform. 22(6) (2021) - [j45]Felix M. Weidner
Capturing dynamic relevance in Boolean networks using graph theoretical measures. Bioinform. 37(20): 3530-3537 (2021) - [i2]Felix Beierle, Johannes Schobel, Carsten Vogel, Johannes Allgaier, Lena Mulansky, Fabian Haug, Julian Haug, Winfried Schlee, Marc Holfelder, Michael Stach, Marc Schickler, Harald Baumeister, Caroline Cohrdes, Jürgen Deckert, Lorenz Deserno, Johanna-Sophie Edler, Felizitas A. Eichner, Helmut Greger, Grit Hein, Peter Heuschmann, Dennis John, Hans A. Kestler, Dagmar Krefting, Berthold Langguth, Patrick Meybohm, Thomas Probst, Manfred Reichert, Marcel Romanos, Stefan Störk, Yannik Terhorst, Martin Weiß, Rüdiger Pryss:
Corona Health - A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic. CoRR abs/2106.03386 (2021) - 2020
- [j44]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler
Editorial for ADAC issue 3 of volume 14 (2020). Adv. Data Anal. Classif. 14(3): 513-515 (2020) - [j43]Ludwig Lausser, Robin Szekely, Hans A. Kestler
Chained correlations for feature selection. Adv. Data Anal. Classif. 14(4): 871-884 (2020) - [j42]Ludwig Lausser, Lisa M. Schäfer, Silke D. Kühlwein
Detecting Ordinal Subcascades. Neural Process. Lett. 52(3): 2583-2605 (2020) - [j41]Patrick Thiam
Two-Stream Attention Network for Pain Recognition from Video Sequences. Sensors 20(3): 839 (2020) - [c36]Peter Bellmann, Ludwig Lausser, Hans A. Kestler
Introducing Bidirectional Ordinal Classifier Cascades Based on a Pain Intensity Recognition Scenario. ICPR Workshops (6) 2020: 773-787 - [c35]Patrick Thiam, Hans A. Kestler
Multimodal Deep Denoising Convolutional Autoencoders for Pain Intensity Classification based on Physiological Signals. ICPRAM 2020: 289-296 - [c34]Peter Bellmann, Ludwig Lausser, Hans A. Kestler
Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades. S+SSPR 2020: 55-64 - [i1]Sarah Friedrich, Gerd Antes, Sigrid Behr, Harald Binder, Werner Brannath, Florian Dumpert, Katja Ickstadt, Hans A. Kestler, Johannes Lederer, Heinz Leitgöb, Markus Pauly, Ansgar Steland, Adalbert F. X. Wilhelm, Tim Friede:
Is there a role for statistics in artificial intelligence? CoRR abs/2009.09070 (2020)
2010 – 2019
- 2019
- [j40]Matthias Schmid
Proceedings of Reisensburg 2016-2017. Comput. Stat. 34(3): 943-944 (2019) - [j39]Patrick Thiam
Exploring Deep Physiological Models for Nociceptive Pain Recognition. Sensors 19(20): 4503 (2019) - 2018
- [j38]Hans A. Kestler
Special issue on "Science of big data: theory, methods and applications" - Preface by the Guest Editors. Adv. Data Anal. Classif. 12(4): 823-825 (2018) - [j37]Ludwig Lausser, Florian Schmid, Lyn-Rouven Schirra, Adalbert F. X. Wilhelm
Rank-based classifiers for extremely high-dimensional gene expression data. Adv. Data Anal. Classif. 12(4): 917-936 (2018) - [j36]Rolf Hühne, Viktor Kessler, Axel Fürstberger, Silke D. Kühlwein
3D Network exploration and visualisation for lifespan data. BMC Bioinform. 19(1): 390:1-390:19 (2018) - [j35]Hans A. Kestler
Proceedings of Reisensburg 2014-2015. Comput. Stat. 33(3): 1125-1126 (2018) - [j34]Johann M. Kraus
Big data and precision medicine: challenges and strategies with healthcare data. Int. J. Data Sci. Anal. 6(3): 241-249 (2018) - [j33]Ludwig Lausser, Robin Szekely, Lyn-Rouven Schirra, Hans A. Kestler
The Influence of Multi-class Feature Selection on the Prediction of Diagnostic Phenotypes. Neural Process. Lett. 48(2): 863-880 (2018) - [c33]Ludwig Lausser, Robin Szekely, Viktor Kessler, Friedhelm Schwenker, Hans A. Kestler
Selecting Features from Foreign Classes. ANNPR 2018: 66-77 - 2017
- [j32]Julian D. Schwab, Andre Burkovski, Lea Siegle, Christoph Müssel, Hans A. Kestler
ViSiBooL - visualization and simulation of Boolean networks with temporal constraints. Bioinform. 33(4): 601-604 (2017) - [j31]Patrick Meyer, Pallab Maity
A model of the onset of the senescence associated secretory phenotype after DNA damage induced senescence. PLoS Comput. Biol. 13(12) (2017) - [c32]Ludwig Lausser, Steffen Just, Wolfgang Rottbauer, Hans A. Kestler
Semantic Biomarker Selection for Functional Genomics of Heart Failure Model Organisms. CinC 2017 - 2016
- [j30]Christoph Müssel, Florian Schmid, Tamara J. Blätte
BiTrinA - multiscale binarization and trinarization with quality analysis. Bioinform. 32(3): 465-468 (2016) - [j29]Florian Schmid, Matthias Schmid
GiANT: gene set uncertainty in enrichment analysis. Bioinform. 32(12): 1891-1894 (2016) - [c31]Lyn-Rouven Schirra, Florian Schmid, Hans A. Kestler
Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization. ANNPR 2016: 105-116 - [e1]Adalbert F. X. Wilhelm
Analysis of Large and Complex Data - Second European Conference on Data Analysis, ECDA 2014, Bremen, Germany, July 2-4, 2014. Studies in Classification, Data Analysis, and Knowledge Organization, Springer 2016, ISBN 978-3-319-25224-7 [contents] - 2015
- [j28]Matthias Schmid
On the validity of time-dependent AUC estimators. Briefings Bioinform. 16(1): 153-168 (2015) - [j27]Aurélien Naldi
Cooperative development of logical modelling standards and tools with CoLoMoTo. Bioinform. 31(7): 1154-1159 (2015) - [j26]Gunnar Völkel, Ludwig Lausser, Florian Schmid, Johann M. Kraus
Sputnik: ad hoc distributed computation. Bioinform. 31(8): 1298-1301 (2015) - [c30]Raphael Lattke, Ludwig Lausser, Christoph Müssel, Hans A. Kestler
Detecting Ordinal Class Structures. MCS 2015: 100-111 - 2014
- [j25]Harald Binder
Proceedings of Reisensburg 2011. Comput. Stat. 29(1): 1-2 (2014) - [j24]Ludwig Lausser, Christoph Müssel, Alexander Melkozerov, Hans A. Kestler
Identifying predictive hubs to condense the training set of (k)-nearest neighbour classifiers. Comput. Stat. 29(1): 81-95 (2014) - [j23]Markus Maucher, David Kracht, Steffen Schober, Martin Bossert, Hans A. Kestler
Inferring Boolean functions via higher-order correlations. Comput. Stat. 29(1): 97-115 (2014) - [j22]Ludwig Lausser, Florian Schmid, Matthias Schmid
Unlabeling data can improve classification accuracy. Pattern Recognit. Lett. 37: 15-23 (2014) - [c29]Florian Schmid, Ludwig Lausser, Hans A. Kestler
Linear Contrast Classifiers in High-Dimensional Spaces. ANNPR 2014: 141-152 - [c28]Lyn-Rouven Schirra, Ludwig Lausser, Hans A. Kestler
Selection Stability as a Means of Biomarker Discovery in Classification. ECDA 2014: 79-89 - [c27]Gunnar Völkel, Markus Maucher, Christoph Müssel, Uwe Schöning, Hans A. Kestler
Information Theoretic Measures for Ant Colony Optimization. ECDA 2014: 519-530 - [c26]Gunnar Völkel, Markus Maucher, Uwe Schöning, Hans A. Kestler
Ant colony optimization with group learning. GECCO 2014: 57-64 - 2013
- [j21]Thomas Schnattinger, Uwe Schöning, Hans A. Kestler
Structural RNA alignment by multi-objective optimization. Bioinform. 29(13): 1607-1613 (2013) - [j20]Thomas Schnattinger, Uwe Schöning, Anita Marchfelder, Hans A. Kestler
RNA-Pareto: interactive analysis of Pareto-optimal RNA sequence-structure alignments. Bioinform. 29(23): 3102-3104 (2013) - [j19]Harald Binder
Proceedings of Reisensburg 2010. Comput. Stat. 28(1): 1-3 (2013) - [j18]Martin Schels, Stefan Scherer, Michael Glodek, Hans A. Kestler
On the discovery of events in EEG data utilizing information fusion. Comput. Stat. 28(1): 5-18 (2013) - [j17]Martin Hopfensitz, Christoph Müssel, Markus Maucher, Hans A. Kestler
Attractors in Boolean networks: a tutorial. Comput. Stat. 28(1): 19-36 (2013) - [j16]Ludwig Lausser, Christoph Müssel, Markus Maucher, Hans A. Kestler
Measuring and visualizing the stability of biomarker selection techniques. Comput. Stat. 28(1): 51-65 (2013) - [c25]Christoph Müssel, Ludwig Lausser, Hans A. Kestler
Ensembles of Representative Prototype Sets for Classification and Data Set Analysis. ECDA 2013: 329-339 - [c24]Gunnar Völkel, Markus Maucher, Hans A. Kestler:
Group-based ant colony optimization. GECCO 2013: 121-128 - 2012
- [j15]Martin Hopfensitz, Christoph Müssel, Christian Wawra, Markus Maucher, Michael Kühl, Heiko Neumann, Hans A. Kestler
Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 9(2): 487-498 (2012) - [c23]Ludwig Lausser, Christoph Müssel, Hans A. Kestler
Representative Prototype Sets for Data Characterization and Classification. ANNPR 2012: 36-47 - [c22]Gunnar Völkel, Johann M. Kraus, Hans A. Kestler:
Algorithmic Engineering with Clojure. ELS 2012: 34-41 - [c21]Andre Burkovski, Ludwig Lausser, Johann M. Kraus
Rank Aggregation for Candidate Gene Identification. GfKl 2012: 285-293 - [c20]Florian Schmid, Ludwig Lausser, Hans A. Kestler
Three Transductive Set Covering Machines. GfKl 2012: 303-311 - 2011
- [j14]Markus Maucher, Barbara Kracher, Michael Kühl, Hans A. Kestler
Inferring Boolean network structure via correlation. Bioinform. 27(11): 1529-1536 (2011) - [j13]Johannes Huth, Malte Buchholz, Johann M. Kraus
TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy. Comput. Methods Programs Biomed. 104(2): 227-234 (2011) - [j12]Markus Maucher, Uwe Schöning, Hans A. Kestler
Search heuristics and the influence of non-perfect randomness: examining Genetic Algorithms and Simulated Annealing. Comput. Stat. 26(2): 303-319 (2011) - [j11]Hans A. Kestler
On the fusion of threshold classifiers for categorization and dimensionality reduction. Comput. Stat. 26(2): 321-340 (2011) - [j10]Johann M. Kraus
Multi-objective selection for collecting cluster alternatives. Comput. Stat. 26(2): 341-353 (2011) - [c19]Ludwig Lausser, Florian Schmid, Hans A. Kestler
On the Utility of Partially Labeled Data for Classification of Microarray Data. PSL 2011: 96-109 - 2010
- [b1]Uwe Schöning, Hans A. Kestler:
Mathe-Toolbox - Mathematische Notationen, Grundbegriffe und Beweismethoden. Lehmanns Media 2010, ISBN 978-3-86541-369-7, pp. 1-143 - [j9]Christoph Müssel, Martin Hopfensitz, Hans A. Kestler
BoolNet - an R package for generation, reconstruction and analysis of Boolean networks. Bioinform. 26(10): 1378-1380 (2010) - [j8]Johann M. Kraus
A highly efficient multi-core algorithm for clustering extremely large datasets. BMC Bioinform. 11: 169 (2010) - [c18]Ludwig Lausser, Hans A. Kestler:
Robustness Analysis of Eleven Linear Classifiers in Extremely High-Dimensional Feature Spaces. ANNPR 2010: 72-83 - [c17]Martin Hopfensitz, Markus Maucher, Hans A. Kestler:
Fuzzy Boolean Network Reconstruction. GfKl 2010: 263-270 - [c16]Ludwig Lausser, Christoph Müssel, Markus Maucher, Hans A. Kestler:
Feature Reduction and Nearest Neighbours. GfKl 2010: 363-370
2000 – 2009
- 2008
- [j7]Hans A. Kestler
VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays. BMC Bioinform. 9 (2008) - [c15]Ludwig Lausser, Malte Buchholz, Hans A. Kestler:
Boosting Threshold Classifiers for High- Dimensional Data in Functional Genomics. ANNPR 2008: 147-156 - 2007
- [j6]André Müller, Karlheinz Holzmann, Hans A. Kestler
Visualization of genomic aberrations using Affymetrix SNP arrays. Bioinform. 23(4): 496-497 (2007) - 2006
- [c14]Hans A. Kestler
On the Effects of Constraints in Semi-supervised Hierarchical Clustering. ANNPR 2006: 57-66 - [c13]Friedhelm Schwenker, Andreas Sachs, Günther Palm, Hans A. Kestler
Orientation Histograms for Face Recognition. ANNPR 2006: 253-259 - [c12]Hans A. Kestler
An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data Classification. ANNPR 2006: 260-273 - [c11]Hans A. Kestler
Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles. ANNPR 2006: 286-297 - [c10]Hans A. Kestler
A Perceptually Optimized Scheme for Visualizing Gene Expression Ratios with Confidence Values. PIT 2006: 73-84 - 2005
- [j5]Hans A. Kestler
Generalized Venn diagrams: a new method of visualizing complex genetic set relations. Bioinform. 21(8): 1592-1595 (2005) - 2003
- [j4]Friedhelm Schwenker, Christian Dietrich, Hans A. Kestler
Radial basis function neural networks and temporal fusion for the classification of bioacoustic time series. Neurocomputing 51: 265-275 (2003) - [c9]Haythem El-Messiry, Hans A. Kestler, Olaf Grebe, Heiko Neumann:
Morphological Scale-Space Decomposition for Segmenting the Ventricular Structure in Cardiac MR Images. Bildverarbeitung für die Medizin 2003: 181-185 - 2002
- [c8]Steffen Simon, Friedhelm Schwenker, Hans A. Kestler
Hierarchical Object Classification for Autonomous Mobile Robots. ICANN 2002: 831-836 - 2001
- [j3]Hans A. Kestler
ROC with confidence - a Perl program for receiver operator characteristic curves. Comput. Methods Programs Biomed. 64(2): 133-136 (2001) - [j2]Friedhelm Schwenker, Hans A. Kestler
Three learning phases for radial-basis-function networks. Neural Networks 14(4-5): 439-458 (2001) - [c7]Friedhelm Schwenker, Hans A. Kestler
3D object recognition for autonomous mobile robots utilizing support vector classifiers. CIRA 2001: 344-349 - 2000
- [j1]Hans A. Kestler, Stefan Sablatnög, Steffen Simon, Stefan Enderle, Axel Baune, Gerhard K. Kraetzschmar, Friedhelm Schwenker, Günther Palm:
Concurrent Object Identification and Localization for a Mobile Robot. Künstliche Intell. 14(4): 23-29 (2000) - [c6]Friedhelm Schwenker, Hans A. Kestler
Radial-basis-function networks: learning and applications. KES 2000: 33-43 - [p1]Friedhelm Schwenker, Hans A. Kestler
An Algorithm for Adaptive Clustering and Visualisation of Highdimensional Data Sets. Computational Intelligence in Data Mining 2000: 127-140
1990 – 1999
- 1999
- [c5]Axel Baune, Steffen Simon, Hans A. Kestler, Friedhelm Schwenker, Günther Palm:
Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter. AMS 1999: 254-261 - [c4]Steffen Simon, Hans A. Kestler
Object classification with simple visual attention and a hierarchical neural network for subsymbolic-symbolic coupling. CIRA 1999: 244-249 - [c3]Hans A. Kestler, Steffen Simon, Axel Baune, Markus Hagenbuchner, Friedhelm Schwenker, Günther Palm:
A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling. DAGM-Symposium 1999: 27-35 - [c2]Hans A. Kestler
Object Classification Using Simple, Colour Based Visual Attention and a Hierarchical Neural Network for Neuro-symbolic Integration. KI 1999: 267-279 - 1995
- [c1]Friedhelm Schwenker, Hans A. Kestler, M. Höher, Günther Palm:
Klassifikation hochverstärkter EKG Signale durch RBF-Netzwerke. DAGM-Symposium 1995: 387-394
Coauthor Index
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