default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFrédéric Chazal
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j36]Thomas Bonis, Frédéric Chazal, Bertrand Michel, Wojciech Reise
:
Topological phase estimation method for reparameterized periodic functions. Adv. Comput. Math. 50(4): 66 (2024)- [j35]Charles Arnal, Felix Hensel, Mathieu Carrière, Théo Lacombe, Hiroaki Kurihara, Yuichi Ike, Frédéric Chazal:
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [j34]Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza:
Choosing the parameter of the Fermat distance: navigating geometry and noise. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [i30]Felix Hensel, Charles Arnal, Mathieu Carrière, Théo Lacombe, Hiroaki Kurihara, Yuichi Ike, Frédéric Chazal:
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks. CoRR abs/2305.13271 (2023) - [i29]Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza:
Choosing the parameter of the Fermat distance: navigating geometry and noise. CoRR abs/2311.18663 (2023) - 2022
- [c41]Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frédéric Chazal:
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds. TAG-ML 2022: 96-106 - [i28]Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frédéric Chazal:
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds. CoRR abs/2202.01725 (2022) - [i27]Thomas Bonis, Frédéric Chazal, Bertrand Michel, Wojciech Reise:
Topological phase estimation method for reparameterized periodic functions. CoRR abs/2205.14390 (2022) - 2021
- [j33]Ewan Carr, Mathieu Carrière, Bertrand Michel, Frédéric Chazal, Raquel Iniesta:
Identifying homogeneous subgroups of patients and important features: a topological machine learning approach. BMC Bioinform. 22(1): 449 (2021) - [j32]Frédéric Chazal, Bertrand Michel:
An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists. Frontiers Artif. Intell. 4: 667963 (2021) - [c40]Martin Royer, Frédéric Chazal, Clément Levrard, Yuhei Umeda, Yuichi Ike:
ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning. AISTATS 2021: 1000-1008 - [c39]Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan, Yuhei Umeda:
Optimizing persistent homology based functions. ICML 2021: 1294-1303 - [c38]Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda:
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs. IJCAI 2021: 2666-2672 - [i26]Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda:
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs. CoRR abs/2105.04404 (2021) - 2020
- [c37]Meryll Dindin, Yuhei Umeda, Frédéric Chazal:
Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks. Canadian AI 2020: 177-188 - [c36]Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda:
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures. AISTATS 2020: 2786-2796 - [c35]Quentin Mérigot, Alex Delalande, Frédéric Chazal:
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space. AISTATS 2020: 3186-3196 - [c34]Jisu Kim, Jaehyeok Shin, Frédéric Chazal, Alessandro Rinaldo, Larry A. Wasserman:
Homotopy Reconstruction via the Cech Complex and the Vietoris-Rips Complex. SoCG 2020: 54:1-54:19 - [c33]Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman:
PLLay: Efficient Topological Layer based on Persistent Landscapes. NeurIPS 2020 - [i25]Kwangho Kim, Jisu Kim, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman:
Efficient Topological Layer based on Persistent Landscapes. CoRR abs/2002.02778 (2020) - [i24]Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan:
A note on stochastic subgradient descent for persistence-based functionals: convergence and practical aspects. CoRR abs/2010.08356 (2020)
2010 – 2019
- 2019
- [j31]Vincent Divol, Frédéric Chazal:
The density of expected persistence diagrams and its kernel based estimation. J. Comput. Geom. 10(2): 127-153 (2019) - [j30]Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel:
Robust Stride Detector from Ankle-Mounted Inertial Sensors for Pedestrian Navigation and Activity Recognition with Machine Learning Approaches. Sensors 19(20): 4491 (2019) - [c32]Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda:
DTM-Based Filtrations. SoCG 2019: 58:1-58:15 - [c31]Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel:
Robust pedestrian trajectory reconstruction from inertial sensor. IPIN 2019: 1-8 - [i23]Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda:
A General Neural Network Architecture for Persistence Diagrams and Graph Classification. CoRR abs/1904.09378 (2019) - [i22]Meryll Dindin, Yuhei Umeda, Frédéric Chazal:
Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks. CoRR abs/1906.05795 (2019) - [i21]Martin Royer, Frédéric Chazal, Yuichi Ike, Yuhei Umeda:
ATOL: Automatic Topologically-Oriented Learning. CoRR abs/1909.13472 (2019) - [i20]Quentin Mérigot, Alex Delalande, Frédéric Chazal:
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space. CoRR abs/1910.05954 (2019) - 2018
- [j29]Ruqi Huang, Frédéric Chazal, Maks Ovsjanikov:
On the Stability of Functional Maps and Shape Difference Operators. Comput. Graph. Forum 37(1): 145-158 (2018) - [c30]Frédéric Chazal, Vincent Divol:
The Density of Expected Persistence Diagrams and its Kernel Based Estimation. SoCG 2018: 26:1-26:15 - [i19]Frédéric Chazal, Vincent Divol:
The density of expected persistence diagrams and its kernel based estimation. CoRR abs/1802.10457 (2018) - [i18]Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda:
DTM-based filtrations. CoRR abs/1811.04757 (2018) - 2017
- [j28]Frédéric Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman:
Robust Topological Inference: Distance To a Measure and Kernel Distance. J. Mach. Learn. Res. 18: 159:1-159:40 (2017) - [c29]Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel:
Stride detection for pedestrian trajectory reconstruction: A machine learning approach based on geometric patterns. IPIN 2017: 1-6 - [c28]Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein:
Computing and processing correspondences with functional maps. SIGGRAPH Courses 2017: 5:1-5:62 - [i17]Frédéric Chazal, Bertrand Michel:
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists. CoRR abs/1710.04019 (2017) - [i16]Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas, Maks Ovsjanikov:
Functoriality in Geometric Data (Dagstuhl Seminar 17021). Dagstuhl Reports 7(1): 1-18 (2017) - 2016
- [b1]Frédéric Chazal, Vin de Silva, Marc Glisse, Steve Y. Oudot:
The Structure and Stability of Persistence Modules. Springer Briefs in Mathematics, Springer 2016, ISBN 978-3-319-42543-6, pp. I-X, 1-120 - [j27]Mickaël Buchet, Frédéric Chazal, Steve Y. Oudot, Donald R. Sheehy:
Efficient and robust persistent homology for measures. Comput. Geom. 58: 70-96 (2016) - [c27]Thomas Bonis, Maks Ovsjanikov, Steve Oudot, Frédéric Chazal:
Persistence-Based Pooling for Shape Pose Recognition. CTIC 2016: 19-29 - [c26]Frédéric Chazal, Ilaria Giulini, Bertrand Michel:
Data driven estimation of Laplace-Beltrami operator. NIPS 2016: 3963-3971 - [c25]Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein:
Computing and processing correspondences with functional maps. SIGGRAPH ASIA Courses 2016: 9:1-9:60 - [i15]Frédéric Chazal, Ilaria Giulini, Bertrand Michel:
Data driven estimation of Laplace-Beltrami operator. CoRR abs/1612.09434 (2016) - 2015
- [j26]Frédéric Chazal, Ruqi Huang, Jian Sun:
Gromov-Hausdorff Approximation of Filamentary Structures Using Reeb-Type Graphs. Discret. Comput. Geom. 53(3): 621-649 (2015) - [j25]Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel:
Convergence rates for persistence diagram estimation in topological data analysis. J. Mach. Learn. Res. 16: 3603-3635 (2015) - [j24]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman:
Stochastic convergence of persistence landscapes and silhouettes. J. Comput. Geom. 6(2): 140-161 (2015) - [j23]Omri Azencot, Maks Ovsjanikov, Frédéric Chazal, Mirela Ben-Chen:
Discrete Derivatives of Vector Fields on Surfaces - An Operator Approach. ACM Trans. Graph. 34(3): 29:1-29:13 (2015) - [c24]Mickaël Buchet, Frédéric Chazal, Tamal K. Dey, Fengtao Fan, Steve Y. Oudot, Yusu Wang:
Topological Analysis of Scalar Fields with Outliers. SoCG 2015: 827-841 - [c23]Frédéric Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman:
Subsampling Methods for Persistent Homology. ICML 2015: 2143-2151 - [c22]Mickaël Buchet, Frédéric Chazal, Steve Y. Oudot, Donald R. Sheehy:
Efficient and Robust Persistent Homology for Measures. SODA 2015: 168-180 - [i14]Frédéric Chazal, Pascal Massart, Bertrand Michel:
Rates of convergence for robust geometric inference. CoRR abs/1505.07602 (2015) - 2014
- [c21]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman:
Stochastic Convergence of Persistence Landscapes and Silhouettes. SoCG 2014: 474 - [c20]Frédéric Chazal, Jian Sun:
Gromov-Hausdorff Approximation of Filament Structure Using Reeb-type Graph. SoCG 2014: 491 - [c19]Chunyuan Li, Maks Ovsjanikov, Frédéric Chazal:
Persistence-Based Structural Recognition. CVPR 2014: 2003-2010 - [c18]Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel:
Convergence rates for persistence diagram estimation in Topological Data Analysis. ICML 2014: 163-171 - [i13]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman:
Subsampling Methods for Persistent Homology. CoRR abs/1406.1901 (2014) - [i12]Mickaël Buchet, Frédéric Chazal, Tamal K. Dey, Fengtao Fan, Steve Y. Oudot, Yusu Wang:
Topological analysis of scalar fields with outliers. CoRR abs/1412.1680 (2014) - [i11]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman:
Robust Topological Inference: Distance To a Measure and Kernel Distance. CoRR abs/1412.7197 (2014) - 2013
- [j22]Omri Azencot, Mirela Ben-Chen, Frédéric Chazal, Maks Ovsjanikov:
An Operator Approach to Tangent Vector Field Processing. Comput. Graph. Forum 32(5): 73-82 (2013) - [j21]Maks Ovsjanikov, Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas:
Analysis and Visualization of Maps Between Shapes. Comput. Graph. Forum 32(6): 135-145 (2013) - [j20]Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot, Primoz Skraba:
Persistence-Based Clustering in Riemannian Manifolds. J. ACM 60(6): 41:1-41:38 (2013) - [j19]Raif M. Rustamov, Maks Ovsjanikov, Omri Azencot, Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas:
Map-based exploration of intrinsic shape differences and variability. ACM Trans. Graph. 32(4): 72:1-72:12 (2013) - [c17]Claire Caillerie, Frédéric Chazal, Jérôme Dedecker, Bertrand Michel:
Deconvolution for the Wasserstein Metric and Geometric Inference. GSI 2013: 561-568 - [c16]Frédéric Chazal, Steve Y. Oudot:
Interleaved Filtrations: Theory and Applications in Point Cloud Data Analysis. GSI 2013: 587-592 - [i10]Frédéric Chazal, Jian Sun:
Gromov-Hausdorff Approximation of Metric Spaces with Linear Structure. CoRR abs/1305.1172 (2013) - [i9]Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel:
Optimal rates of convergence for persistence diagrams in Topological Data Analysis. CoRR abs/1305.6239 (2013) - [i8]Mickaël Buchet, Frédéric Chazal, Steve Y. Oudot, Donald R. Sheehy:
Efficient and Robust Topological Data Analysis on Metric Spaces. CoRR abs/1306.0039 (2013) - [i7]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman:
On the Bootstrap for Persistence Diagrams and Landscapes. CoRR abs/1311.0376 (2013) - [i6]Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry A. Wasserman:
Stochastic Convergence of Persistence Landscapes and Silhouettes. CoRR abs/1312.0308 (2013) - 2012
- [j18]Frédéric Chazal, Primoz Skraba, Amit Patel:
Computing well diagrams for vector fields on Rn. Appl. Math. Lett. 25(11): 1725-1728 (2012) - [j17]Mridul Aanjaneya, Frédéric Chazal, Daniel Chen, Marc Glisse, Leonidas J. Guibas, Dmitriy Morozov:
Metric Graph Reconstruction from noisy Data. Int. J. Comput. Geom. Appl. 22(4): 305-326 (2012) - [i5]Frédéric Chazal, Vin de Silva, Marc Glisse, Steve Oudot:
The structure and stability of persistence modules. CoRR abs/1207.3674 (2012) - [i4]Frédéric Chazal, Vin de Silva, Steve Oudot:
Persistence stability for geometric complexes. CoRR abs/1207.3885 (2012) - 2011
- [j16]Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot, Primoz Skraba:
Scalar Field Analysis over Point Cloud Data. Discret. Comput. Geom. 46(4): 743-775 (2011) - [j15]Frédéric Chazal, David Cohen-Steiner, Quentin Mérigot:
Geometric Inference for Probability Measures. Found. Comput. Math. 11(6): 733-751 (2011) - [c15]Mridul Aanjaneya, Frédéric Chazal, Daniel Chen, Marc Glisse, Leonidas J. Guibas, Dmitriy Morozov:
Metric graph reconstruction from noisy data. SCG 2011: 37-46 - [c14]Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot, Primoz Skraba:
Persistence-based clustering in riemannian manifolds. SCG 2011: 97-106 - [c13]Frédéric Chazal, Daniel Chen, Leonidas J. Guibas, Xiaoye Jiang, Christian Sommer:
Data-driven trajectory smoothing. GIS 2011: 251-260 - 2010
- [j14]Frédéric Chazal, David Cohen-Steiner, Quentin Mérigot:
Boundary Measures for Geometric Inference. Found. Comput. Math. 10(2): 221-240 (2010) - [j13]Frédéric Chazal, André Lieutier, Jarek Rossignac, Brian Whited:
Ball-Map: Homeomorphism between Compatible Surfaces. Int. J. Comput. Geom. Appl. 20(3): 285-306 (2010) - [c12]Primoz Skraba, Maks Ovsjanikov, Frédéric Chazal, Leonidas J. Guibas:
Persistence-based segmentation of deformable shapes. CVPR Workshops 2010: 45-52
2000 – 2009
- 2009
- [j12]Frédéric Chazal, David Cohen-Steiner, Leonidas J. Guibas, Facundo Mémoli, Steve Oudot:
Gromov-Hausdorff Stable Signatures for Shapes using Persistence. Comput. Graph. Forum 28(5): 1393-1403 (2009) - [j11]Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert:
Stability of Curvature Measures. Comput. Graph. Forum 28(5): 1485-1496 (2009) - [j10]Frédéric Chazal, André Lieutier, N. Montana:
Discrete Critical Values: a General Framework for Silhouettes Computation. Comput. Graph. Forum 28(5): 1509-1518 (2009) - [j9]Frédéric Chazal, David Cohen-Steiner, André Lieutier:
Normal cone approximation and offset shape isotopy. Comput. Geom. 42(6-7): 566-581 (2009) - [j8]Frédéric Chazal, David Cohen-Steiner, André Lieutier:
A Sampling Theory for Compact Sets in Euclidean Space. Discret. Comput. Geom. 41(3): 461-479 (2009) - [c11]Frédéric Chazal, David Cohen-Steiner, Marc Glisse, Leonidas J. Guibas, Steve Oudot:
Proximity of persistence modules and their diagrams. SCG 2009: 237-246 - [c10]Frédéric Chazal, Leonidas J. Guibas, Steve Oudot, Primoz Skraba:
Analysis of scalar fields over point cloud data. SODA 2009: 1021-1030 - 2008
- [j7]Frédéric Chazal, André Lieutier:
Smooth manifold reconstruction from noisy and non-uniform approximation with guarantees. Comput. Geom. 40(2): 156-170 (2008) - [c9]Frédéric Chazal, Steve Oudot:
Towards persistence-based reconstruction in euclidean spaces. SCG 2008: 232-241 - [i3]Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert:
Stability of Curvature Measures. CoRR abs/0812.1390 (2008) - 2007
- [j6]Frédéric Chazal, André Lieutier:
Stability and Computation of Topological Invariants of Solids in \Bbb Rn. Discret. Comput. Geom. 37(4): 601-617 (2007) - [j5]Frédéric Chazal, André Lieutier, Jarek Rossignac:
Normal-Map between Normal-Compatible Manifolds. Int. J. Comput. Geom. Appl. 17(5): 403-421 (2007) - [c8]Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert:
Shape smoothing using double offsets. Symposium on Solid and Physical Modeling 2007: 183-192 - [i2]Frédéric Chazal, David Cohen-Steiner, Quentin Mérigot:
Stability of boundary measures. CoRR abs/0706.2153 (2007) - [i1]Frédéric Chazal, Steve Oudot:
Towards Persistence-Based Reconstruction in Euclidean Spaces. CoRR abs/0712.2638 (2007) - 2006
- [c7]Frédéric Chazal, André Lieutier:
Topology guaranteeing manifold reconstruction using distance function to noisy data. SCG 2006: 112-118 - [c6]Frédéric Chazal, David Cohen-Steiner, André Lieutier:
A sampling theory for compact sets in Euclidean space. SCG 2006: 319-326 - 2005
- [j4]Frédéric Chazal, André Lieutier:
The "lambda-medial axis". Graph. Model. 67(4): 304-331 (2005) - [j3]Frédéric Chazal, David Cohen-Steiner:
A condition for isotopic approximation. Graph. Model. 67(5): 390-404 (2005) - [c5]Frédéric Chazal, André Lieutier:
Weak feature size and persistent homology: computing homology of solids in Rn from noisy data samples. SCG 2005: 255-262 - [c4]Frédéric Chazal, André Lieutier, Jarek Rossignac:
Projection-homeomorphic surfaces. Symposium on Solid and Physical Modeling 2005: 9-14 - 2004
- [j2]Frédéric Chazal, Véronique Maume-Deschamps, Brigitte Vallée:
Erratum to 'Dynamical Sources in Information Theory: Fundamental Intervals and Word Prefixes'. Algorithmica 38(4): 591-596 (2004) - [j1]Frédéric Chazal, Véronique Maume-Deschamps:
Statistical properties of general Markov dynamical sources: applications to information theory. Discret. Math. Theor. Comput. Sci. 6(2): 283-314 (2004) - [c3]Frédéric Chazal, David Cohen-Steiner:
A condition for isotopic approximation. Symposium on Solid Modeling and Applications 2004: 93-99 - [c2]Frédéric Chazal, André Lieutier:
Stability and homotopy of a subset of the medial axis. Symposium on Solid Modeling and Applications 2004: 243-248 - 2003
- [c1]Frédéric Cazals, Frédéric Chazal, Thomas Lewiner:
Molecular shape analysis based upon the morse-smale complex and the connolly function. SCG 2003: 351-360
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-20 23:03 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
