Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGuilherme De A. Barreto
Guilherme A. Barreto
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2023
[j41]Jessyca Almeida Bessa, Guilherme A. Barreto
, Ajalmar R. da Rocha Neto:
An Outlier-Robust Growing Local Model Network for Recursive System Identification. Neural Process. Lett. 55(4): 4257-4289 (2023)- 2022
- [j40]Rômulo B. P. Drumond, Renan F. Albuquerque, Guilherme A. Barreto, Amauri H. Souza:
Pattern classification based on regional models. Appl. Soft Comput. 129: 109592 (2022) - [j39]David N. Coelho, Guilherme A. Barreto:
A Sparse Online Approach for Streaming Data Classification via Prototype-Based Kernel Models. Neural Process. Lett. 54(3): 1679-1706 (2022) - 2021
- [j38]Tiago S. Façanha, Guilherme A. Barreto, José Tarcisio Costa Filho:
A Novel Kalman Filter Formulation for Improving Tracking Performance of the Extended Kernel RLS. Circuits Syst. Signal Process. 40(3): 1397-1419 (2021) - [j37]Michael S. Duarte, Guilherme A. Barreto:
Fully adaptive dictionary for online correntropy kernel learning using proximal methods. Expert Syst. Appl. 178: 114976 (2021) - 2020
- [j36]Edmilson Q. Santos Filho, Pedro Henrique Feijo de Sousa, Pedro Pedrosa Rebouças Filho, Guilherme A. Barreto, Victor Hugo C. de Albuquerque:
Evaluation of Goat Leather Quality Based on Computational Vision Techniques. Circuits Syst. Signal Process. 39(2): 651-673 (2020) - [j35]Phelipe W. Oliveira, Guilherme A. Barreto, George A. P. Thé:
A General Framework for Optimal Tuning of PID-like Controllers for Minimum Jerk Robotic Trajectories. J. Intell. Robotic Syst. 99(3): 467-486 (2020) - [j34]Ananda L. Freire, Ajalmar R. da Rocha Neto, Guilherme A. Barreto:
On robust randomized neural networks for regression: a comprehensive review and evaluation. Neural Comput. Appl. 32(22): 16931-16950 (2020) - 2019
- [j33]César Lincoln C. Mattos, Guilherme A. Barreto:
A stochastic variational framework for Recurrent Gaussian Processes models. Neural Networks 112: 54-72 (2019) - 2018
- [j32]Leonardo Aguayo, Guilherme A. Barreto:
Novelty Detection in Time Series Using Self-Organizing Neural Networks: A Comprehensive Evaluation. Neural Process. Lett. 47(2): 717-744 (2018) - 2017
- [j31]José Daniel A. Santos, Guilherme A. Barreto:
A regularized estimation framework for online sparse LSSVR models. Neurocomputing 238: 114-125 (2017) - [j30]Marcus V. D. Veloso, José Tarcisio Costa Filho, Guilherme A. Barreto:
SOM4R: a Middleware for Robotic Applications Based on the Resource-Oriented Architecture. J. Intell. Robotic Syst. 87(3-4): 487-506 (2017) - 2016
- [j29]Guilherme A. Barreto, Luís Gustavo M. Souza:
Novel approaches for parameter estimation of local linear models for dynamical system identification. Appl. Intell. 44(1): 149-165 (2016) - [j28]Guilherme A. Barreto, Ana Luiza B. P. Barros:
A Robust Extreme Learning Machine for pattern classification with outliers. Neurocomputing 176: 3-13 (2016) - 2015
- [j27]Amauri H. Souza Júnior, Guilherme De A. Barreto, Francesco Corona:
Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map. Neurocomputing 147: 31-46 (2015) - [j26]Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme De A. Barreto, Yoan Miché, Amaury Lendasse:
Minimal Learning Machine: A novel supervised distance-based approach for regression and classification. Neurocomputing 164: 34-44 (2015) - [j25]Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme A. Barreto:
Robust classification with reject option using the self-organizing map. Neural Comput. Appl. 26(7): 1603-1619 (2015) - [j24]Guilherme A. Barreto, Ana Luiza B. P. Barros:
On the Design of Robust Linear Pattern Classifiers Based on M-Estimators. Neural Process. Lett. 42(1): 119-137 (2015) - 2014
- [j23]César Lincoln C. Mattos, Guilherme A. Barreto, Francisco Rodrigo P. Cavalcanti:
An improved hybrid particle swarm optimization algorithm applied to economic modeling of radio resource allocation. Electron. Commer. Res. 14(1): 51-70 (2014) - 2013
- [j22]Alberto Guillén, Amaury Lendasse, Guilherme A. Barreto:
Data Preprocessing and Model Design for Medicine Problems. Comput. Math. Methods Medicine 2013: 625623:1 (2013) - [j21]Andre Lemme, Ananda Freire, Guilherme A. Barreto, Jochen J. Steil:
Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. Neurocomputing 112: 179-188 (2013) - [j20]César Lincoln C. Mattos, Guilherme A. Barreto:
ARTIE and MUSCLE models: building ensemble classifiers from fuzzy ART and SOM networks. Neural Comput. Appl. 22(1): 49-61 (2013) - [j19]Cláudio M. S. Medeiros, Guilherme De A. Barreto:
A novel weight pruning method for MLP classifiers based on the MAXCORE principle. Neural Comput. Appl. 22(1): 71-84 (2013) - [j18]Ajalmar R. da Rocha Neto, Guilherme A. Barreto:
Opposite Maps: Vector Quantization Algorithms for Building Reduced-Set SVM and LSSVM Classifiers. Neural Process. Lett. 37(1): 3-19 (2013) - [j17]Guilherme De A. Barreto, Rewbenio A. Frota:
A unifying methodology for the evaluation of neural network models on novelty detection tasks. Pattern Anal. Appl. 16(1): 83-97 (2013) - 2011
- [j16]José Everardo Bessa Maia, Guilherme De A. Barreto, André L. V. Coelho:
Visual object tracking by an evolutionary self-organizing neural network. J. Intell. Fuzzy Syst. 22(2-3): 69-81 (2011) - 2010
- [j15]José B. Aragão Jr., Guilherme De A. Barreto:
Novel approaches for online playout delay prediction in VoIP applications using time series models. Comput. Electr. Eng. 36(3): 536-544 (2010) - [j14]Luís Gustavo M. Souza, Guilherme De A. Barreto:
On building local models for inverse system identification with vector quantization algorithms. Neurocomputing 73(10-12): 1993-2005 (2010) - 2008
- [j13]José Maria P. Menezes Jr., Guilherme A. Barreto:
Long-term time series prediction with the NARX network: An empirical evaluation. Neurocomputing 71(16-18): 3335-3343 (2008) - 2007
- [j12]Rewbenio A. Frota, Guilherme De A. Barreto, João Cesar M. Mota:
Anomaly detection in mobile communication networks using the self-organizing map. J. Intell. Fuzzy Syst. 18(5): 493-500 (2007) - 2006
- [j11]Guilherme De A. Barreto, Luís Gustavo M. Souza:
Adaptive filtering with the self-organizing map: A performance comparison. Neural Networks 19(6-7): 785-798 (2006) - 2005
- [j10]Guilherme De A. Barreto, João Cesar M. Mota, Luís Gustavo M. Souza, Rewbenio A. Frota, Leonardo Aguayo:
Condition monitoring of 3G cellular networks through competitive neural models. IEEE Trans. Neural Networks 16(5): 1064-1075 (2005) - 2004
- [j9]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Identification and control of dynamical systems using the self-organizing map. IEEE Trans. Neural Networks 15(5): 1244-1259 (2004) - 2003
- [j8]Antonio C. Padoan Jr., Guilherme De A. Barreto, Aluízio F. R. Araújo:
Modeling and Production of Robot Trajectories Using the Temporal Parametrized Self Organizing Maps. Int. J. Neural Syst. 13(2): 119-127 (2003) - [j7]Guilherme De A. Barreto, Aluízio F. R. Araújo, Helge J. Ritter:
Self-Organizing Feature Maps for Modeling and Control of Robotic Manipulators. J. Intell. Robotic Syst. 36(4): 407-450 (2003) - [j6]Guilherme De A. Barreto, Aluízio F. R. Araújo, Stefan C. Kremer:
A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case. Neural Comput. 15(6): 1255-1320 (2003) - 2002
- [j5]Aluízio F. R. Araújo, Guilherme De A. Barreto:
A Self-Organizing Context-Based Approach to the Tracking of Multiple Robot Trajectories. Appl. Intell. 17(1): 101-119 (2002) - [j4]Aluízio F. R. Araújo, Guilherme De A. Barreto:
Context in temporal sequence processing: a self-organizing approach and its application to robotics. IEEE Trans. Neural Networks 13(1): 45-57 (2002) - [j3]Guilherme De A. Barreto, Aluízio F. R. Araújo, C. Dücker, Helge J. Ritter:
A distributed robotic control system based on a temporal self-organizing neural network. IEEE Trans. Syst. Man Cybern. Part C 32(4): 347-357 (2002) - 2001
- [j2]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Unsupervised Learning and Temporal Context to Recall Complex Robot Trajectories. Int. J. Neural Syst. 11(1): 11-22 (2001) - 1999
- [j1]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Unsupervised Learning and Recall of Temporal Sequences: An Application to Robotics. Int. J. Neural Syst. 9(3): 235-242 (1999)
Conference and Workshop Papers
- 2019
- [c53]Renan Bessa, Guilherme A. Barreto:
Robust Echo State Network for Recursive System Identification. IWANN (1) 2019: 247-258 - [c52]Lucas Cabral, Guilherme A. Barreto, José Maria Monteiro:
Classificação de Estados Epilépticos em Sinais de EEG utilizando Detecção de Anomalias. SBBD 2019: 145-156 - [c51]Diego P. Sousa, Guilherme A. Barreto, Charles C. Cavalcante, Cláudio M. S. Medeiros:
LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison. WSOM+ 2019: 130-139 - [c50]David N. Coelho, Guilherme A. Barreto:
Approximate Linear Dependence as a Design Method for Kernel Prototype-Based Classifiers. WSOM+ 2019: 241-250 - 2018
- [c49]Phelipe Wesley Oliveira, Guilherme A. Barreto, George A. P. Thé:
A Novel Tuning Method for PD Control of Robotic Manipulators Based on Minimum Jerk Principle. LARS/SBR/WRE 2018: 396-401 - 2017
- [c48]Marcelo B. A. Veras, Diego P. P. Mesquita, João P. P. Gomes, Amauri H. Souza Júnior, Guilherme A. Barreto:
Forward Stagewise Regression on Incomplete Datasets. IWANN (1) 2017: 386-395 - [c47]César Lincoln C. Mattos, Guilherme A. Barreto, Gonzalo Acuña:
Randomized Neural Networks for Recursive System Identification in the Presence of Outliers: A Performance Comparison. IWANN (1) 2017: 603-615 - [c46]David N. Coelho, Guilherme A. Barreto, Cláudio M. S. Medeiros:
Detection of short circuit faults in 3-phase converter-fed induction motors using kernel SOMs. WSOM 2017: 118-124 - [c45]César Lincoln C. Mattos, Guilherme A. Barreto, Dennis Horstkemper, Bernd Hellingrath:
Metaheuristic optimization for automatic clustering of customer-oriented supply chain data. WSOM 2017: 184-191 - 2016
- [c44]Humberto I. Fontinele, Davyd B. Melo, Guilherme A. Barreto:
Local Models for Learning Inverse Kinematics of Redundant Robots: A Performance Comparison. WSOM 2016: 177-187 - [c43]César Lincoln C. Mattos, Zhenwen Dai, Andreas C. Damianou, Jeremy Forth, Guilherme A. Barreto, Neil D. Lawrence:
Recurrent Gaussian Processes. ICLR (Poster) 2016 - 2015
- [c42]César Lincoln C. Mattos, José Daniel A. Santos, Guilherme A. Barreto:
An Empirical Evaluation of Robust Gaussian Process Models for System Identification. IDEAL 2015: 172-180 - [c41]José Daniel A. Santos, Guilherme A. Barreto:
A Novel Recursive Solution to LS-SVR for Robust Identification of Dynamical Systems. IDEAL 2015: 191-198 - [c40]José Daniel A. Santos, César Lincoln C. Mattos, Guilherme A. Barreto:
Performance Evaluation of Least Squares SVR in Robust Dynamical System Identification. IWANN (2) 2015: 422-435 - 2014
- [c39]David N. Coelho, Guilherme De A. Barreto, Cláudio M. S. Medeiros, José Daniel Alencar Santos:
Performance comparison of classifiers in the detection of short circuit incipient fault in a three-phase induction motor. CIES 2014: 42-48 - [c38]Ananda Freire, Guilherme A. Barreto:
A new model selection approach for the ELM network using metaheuristic optimization. ESANN 2014 - [c37]Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Guilherme A. Barreto, Jaime S. Cardoso, Miguel T. Coimbra:
reject option paradigm for the reduction of support vectors. ESANN 2014 - [c36]Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme De A. Barreto:
Classification with Reject Option Using the Self-Organizing Map. ICANN 2014: 105-112 - [c35]César Lincoln C. Mattos, José Daniel A. Santos, Guilherme A. Barreto:
Improved Adaline Networks for Robust Pattern Classification. ICANN 2014: 579-586 - [c34]José Daniel A. Santos, César Lincoln C. Mattos, Guilherme De A. Barreto:
A Novel Recursive Kernel-Based Algorithm for Robust Pattern Classification. IDEAL 2014: 150-157 - [c33]Luiz A. Soares Filho, Guilherme A. Barreto:
On the efficient design of a prototype-based classifier using differential evolution. SDE 2014: 57-64 - 2013
- [c32]Ana Luiza Bessa de Paula Barros, Guilherme A. Barreto:
Building a Robust Extreme Learning Machine for Classification in the Presence of Outliers. HAIS 2013: 588-597 - [c31]Amauri Holanda de Souza Júnior, Francesco Corona, Yoan Miche, Amaury Lendasse, Guilherme A. Barreto, Olli Simula:
Minimal Learning Machine: A New Distance-Based Method for Supervised Learning. IWANN (1) 2013: 408-416 - [c30]Ana Luiza Bessa de Paula Barros, Guilherme A. Barreto:
Improving the Classification Performance of Optimal Linear Associative Memory in the Presence of Outliers. IWANN (1) 2013: 622-632 - 2012
- [c29]Ananda Freire, Andre Lemme, Jochen J. Steil, Guilherme A. Barreto:
Learning visuo-motor coordination for pointing without depth calculation. ESANN 2012 - [c28]Amauri Holanda de Souza Júnior, Guilherme De A. Barreto:
Regional Models for Nonlinear System Identification Using the Self-Organizing Map. IDEAL 2012: 717-724 - [c27]Ajalmar R. da Rocha Neto, Guilherme De A. Barreto:
Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs. IDEAL 2012: 725-732 - [c26]Ajalmar R. da Rocha Neto, Guilherme A. Barreto:
Opposite Maps for Hard Margin Support Vector Machines. WSOM 2012: 65-74 - [c25]Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme A. Barreto:
Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps. WSOM 2012: 215-224 - 2011
- [c24]Ajalmar R. da Rocha Neto, Ricardo Gamelas Sousa, Guilherme De A. Barreto, Jaime S. Cardoso:
Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option. IbPRIA 2011: 588-595 - [c23]Ajalmar R. da Rocha Neto, Guilherme De A. Barreto:
A Novel Heuristic for Building Reduced-Set SVMs Using the Self-Organizing Map. IWANN (1) 2011: 97-104 - [c22]José Everardo Bessa Maia, Guilherme De A. Barreto, André Luís Vasconcelos Coelho:
Evolving a Self-Organizing Feature Map for Visual Object Tracking. WSOM 2011: 121-130 - [c21]Ana Cristina C. Silva, Ana Cristina P. Macedo, Guilherme De A. Barreto:
A SOM-Based Analysis of Early Prosodic Acquisition of English by Brazilian Learners: Preliminary Results. WSOM 2011: 267-276 - 2010
- [c20]Everardo Maia, Guilherme De A. Barreto, André Luís Vasconcelos Coelho:
Image registration by the extended evolutionary self-organizing map. ESANN 2010 - [c19]Luís Gustavo M. Souza, Guilherme De A. Barreto:
Multiple Local Models for System Identification Using Vector Quantization Algorithms. ESANN 2010 - [c18]José Daniel A. Santos, Guilherme De A. Barreto, Cláudio M. S. Medeiros:
Estimating the Number of Hidden Neurons of the MLP Using Singular Value Decomposition and Principal Components Analysis: A Novel Approach. SBRN 2010: 19-24 - 2009
- [c17]Guilherme De A. Barreto, Leonardo Aguayo:
Time Series Clustering for Anomaly Detection Using Competitive Neural Networks. WSOM 2009: 28-36 - 2008
- [c16]José Everardo Bessa Maia, Guilherme De A. Barreto, André L. V. Coelho:
On Self-Organizing Feature Map (SOFM) Formation by Direct Optimization Through a Genetic Algorithm. HIS 2008: 661-666 - [c15]José Everardo Bessa Maia, André L. V. Coelho, Guilherme De A. Barreto:
Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms. ICONIP (1) 2008: 1180-1187 - [c14]Leonardo Aguayo, Guilherme De A. Barreto:
Novelty Detection in Time Series Through Self-Organizing Networks: An Empirical Evaluation of Two Different Paradigms. SBRN 2008: 129-134 - 2007
- [c13]Cláudio M. S. Medeiros, Guilherme De A. Barreto:
An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors. ICANN (1) 2007: 219-228 - [c12]Cláudio M. S. Medeiros, Guilherme De A. Barreto:
Pruning the Multilayer Perceptron through the Correlation of Backpropagated Errors. ISDA 2007: 64-69 - 2006
- [c11]José Maria P. Menezes Jr., Guilherme De A. Barreto:
A New Look at Nonlinear Time Series Prediction with NARX Recurrent Neural Network. SBRN 2006: 160-165 - 2004
- [c10]Guilherme De A. Barreto, João Cesar M. Mota, Luís Gustavo M. Souza, Rewbenio A. Frota, Leonardo Aguayo, José S. Yamamoto, Pedro Eduardo de Oliveira Macedo:
Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems. ICT 2004: 207-213 - [c9]Guilherme De A. Barreto, João Cesar M. Mota, Luís Gustavo M. Souza, Rewbenio A. Frota:
Nonstationary Time Series Prediction Using Local Models Based on Competitive Neural Networks. IEA/AIE 2004: 1146-1155 - [c8]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Predictive Modeling and Planning of Robot Trajectories Using the Self-Organizing Map. IEA/AIE 2004: 1156-1165 - 2002
- [c7]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map. ICANN 2002: 975-980 - [c6]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Temporal associative memory and function approximation with the self-organizing map. NNSP 2002: 109-118 - [c5]Antonio C. Padoan Jr., Aluízio F. R. Araújo, Guilherme De A. Barreto:
Dynamic Modeling of Robotic Trajectories Using the Parametrized SOM. SBRN 2002: 195 - 2001
- [c4]Guilherme A. Barreto, Aluízio Fausto Ribeiro Araújo, C. Dücker, Helge J. Ritter:
A distributed robotic control system based on a temporal self-organizing neural network. SMC 2001: 335-340 - 2000
- [c3]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network. IJCNN (3) 2000: 207-212 - 1999
- [c2]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Unsupervised context-based learning of multiple temporal sequences. IJCNN 1999: 1102-1106 - 1998
- [c1]Guilherme De A. Barreto, Aluízio F. R. Araújo:
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories. SBRN 1998: 96-101
Parts in Books or Collections
- 2007
- [p1]Guilherme De A. Barreto:
Time Series Prediction with the Self-Organizing Map: A Review. Perspectives of Neural-Symbolic Integration 2007: 135-158
Editorship
- 2018
- [e2]Guilherme A. Barreto, Ricardo Coelho:
Fuzzy Information Processing - 37th Conference of the North American Fuzzy Information Processing Society, NAFIPS 2018, Fortaleza, Brazil, July 4-6, 2018, Proceedings. Communications in Computer and Information Science 831, Springer 2018, ISBN 978-3-319-95311-3 [contents] - 2012
- [e1]Hujun Yin, José Alfredo Ferreira Costa, Guilherme De A. Barreto:
Intelligent Data Engineering and Automated Learning - IDEAL 2012 - 13th International Conference, Natal, Brazil, August 29-31, 2012. Proceedings. Lecture Notes in Computer Science 7435, Springer 2012, ISBN 978-3-642-32638-7 [contents]
Data and Artifacts
- 2011
- [d2]Guilherme De A. Barreto, Ajalmar R. da Rocha Neto:
Vertebral Column. UCI Machine Learning Repository, 2011
- 2010
- [d1]Ananda Freire, Marcus V. D. Veloso, Guilherme De A. Barreto:
Wall-Following Robot Navigation Data. UCI Machine Learning Repository, 2010
Coauthor Index
Aluízio F. R. Araújo
aka: Aluízio Fausto Ribeiro Araújo
aka: Aluízio Fausto Ribeiro Araújo
José Daniel A. Santos
aka: José Daniel Alencar Santos
aka: José Daniel Alencar Santos
a service of 
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 2024-05-08 20:58 CEST 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:
