default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHitoshi Iyatomi
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j23]Quan Huu Cap
, Atsushi Fukuda, Hitoshi Iyatomi:
A practical framework for unsupervised structure preservation medical image enhancement. Biomed. Signal Process. Control. 100: 106918 (2025)- 2024
- [j22]Ryosuke Wayama, Yuki Sasaki, Satoshi Kagiwada, Nobusuke Iwasaki, Hitoshi Iyatomi:
Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework. Comput. Electron. Agric. 222: 109021 (2024) - [c42]Takumi Ohashi, Tsubasa Nakagawa, Hitoshi Iyatomi:
Extended Japanese Commonsense Morality Dataset with Masked Token and Label Enhancement. CIKM 2024: 3964-3968 - [c41]Hayato Muraki, Kei Nishimaki, Shuya Tobari, Kenichi Oishi, Hitoshi Iyatomi:
Isometric Feature Embedding for Content-Based Image Retrieval. CISS 2024: 1-6 - [i33]Sota Nemoto, Shunsuke Kitada, Hitoshi Iyatomi:
Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition. CoRR abs/2401.11431 (2024) - [i32]Kohei Iwano, Shogo Shibuya, Satoshi Kagiwada, Hitoshi Iyatomi:
Hierarchical Object Detection and Recognition Framework for Practical Plant Disease Diagnosis. CoRR abs/2407.17906 (2024) - [i31]Ryosuke Wayama, Yuki Sasaki, Satoshi Kagiwada, Nobusuke Iwasaki, Hitoshi Iyatomi:
Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework. CoRR abs/2407.18000 (2024) - [i30]Takumi Ohashi, Tsubasa Nakagawa, Hitoshi Iyatomi:
Extended Japanese Commonsense Morality Dataset with Masked Token and Label Enhancement. CoRR abs/2410.09564 (2024) - 2023
- [j21]Kei Nishimaki, Kumpei Ikuta, Shingo Fujiyama, Kenichi Oishi, Hitoshi Iyatomi:
PCSS: Skull Stripping With Posture Correction From 3D Brain MRI for Diverse Imaging Environment. IEEE Access 11: 116903-116918 (2023) - [j20]Shunsuke Kitada, Hitoshi Iyatomi:
Making attention mechanisms more robust and interpretable with virtual adversarial training. Appl. Intell. 53(12): 15802-15817 (2023) - [j19]Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi:
Towards robust plant disease diagnosis with hard-sample re-mining strategy. Comput. Electron. Agric. 215: 108375 (2023) - [j18]Lei Bi, M. Emre Celebi, Hitoshi Iyatomi, Pablo Fernandez-Penas, Jinman Kim:
Image analysis in advanced skin imaging technology. Comput. Methods Programs Biomed. 238: 107599 (2023) - [c40]Shuya Tobari, Kenichi Oishi, Hitoshi Iyatomi:
Acquiring a Low-Dimensional, Environment-Independent Representation of Brain MR Images for Content-Based Image Retrieval. SMC 2023: 5096-5101 - [c39]Kazuya Ohata, Hitoshi Iyatomi, Hajime Morita, Kojiro Iizuka:
How are Negative Articles Consumed? A Quantitative Analysis of User Behavior in a Real News Service. SMC 2023: 5311-5316 - [i29]Quan Huu Cap, Atsushi Fukuda, Hitoshi Iyatomi:
A Practical Framework for Unsupervised Structure Preservation Medical Image Enhancement. CoRR abs/2304.01864 (2023) - [i28]Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi:
Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining Strategy. CoRR abs/2309.01903 (2023) - 2022
- [j17]Shunsuke Kitada, Yuki Iwazaki, Riku Togashi, Hitoshi Iyatomi:
DM2S2: Deep Multimodal Sequence Sets With Hierarchical Modality Attention. IEEE Access 10: 120023-120034 (2022) - [j16]Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. IEEE Trans Autom. Sci. Eng. 19(2): 1258-1267 (2022) - [c38]Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi:
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. CIKM 2022: 4349-4353 - [c37]Kei Nishimaki, Kumpei Ikuta, Yuto Onga, Hitoshi Iyatomi, Kenichi Oishi:
Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval. SMC 2022: 2433-2438 - [i27]Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki:
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks. CoRR abs/2204.11588 (2022) - [i26]Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi:
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. CoRR abs/2208.14244 (2022) - [i25]Shunsuke Kitada, Yuki Iwazaki, Riku Togashi, Hitoshi Iyatomi:
DM2S2: Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention. CoRR abs/2209.03126 (2022) - [i24]Kei Nishimaki, Kumpei Ikuta, Yuto Onga, Hitoshi Iyatomi, Kenichi Oishi:
Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval. CoRR abs/2210.00506 (2022) - [i23]Kazuya Ohata, Shunsuke Kitada, Hitoshi Iyatomi:
Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired. CoRR abs/2211.09427 (2022) - 2021
- [j15]Shunsuke Kitada, Hitoshi Iyatomi:
Attention Meets Perturbations: Robust and Interpretable Attention With Adversarial Training. IEEE Access 9: 92974-92985 (2021) - [j14]Hayato Arai, Yuto Onga, Kumpei Ikuta, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi:
Disease-Oriented Image Embedding With Pseudo-Scanner Standardization for Content-Based Image Retrieval on 3D Brain MRI. IEEE Access 9: 165326-165340 (2021) - [j13]Quan Huu Cap, Hiroki Tani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi:
LASSR: Effective super-resolution method for plant disease diagnosis. Comput. Electron. Agric. 187: 106271 (2021) - [i22]Kasumi Obi, Quan Huu Cap, Noriko Umegaki-Arao, Masaru Tanaka, Hitoshi Iyatomi:
Bulk Production Augmentation Towards Explainable Melanoma Diagnosis. CoRR abs/2103.02198 (2021) - [i21]Shunsuke Kitada, Hitoshi Iyatomi:
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification. CoRR abs/2104.08763 (2021) - [i20]Hayato Arai, Yuto Onga, Kumpei Ikuta, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi:
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI. CoRR abs/2108.06518 (2021) - [i19]Hideaki Okamoto, Takakiyo Nomura, Kazuhito Nabeshima, Jun Hashimoto, Hitoshi Iyatomi:
Gastric Cancer Detection from X-ray Images Using Effective Data Augmentation and Hard Boundary Box Training. CoRR abs/2108.08158 (2021) - 2020
- [c36]Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi:
AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss. ACL (student) 2020: 214-221 - [c35]Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda:
MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis. ICPR Workshops (1) 2020: 254-265 - [c34]Takumi Aoki, Shunsuke Kitada, Hitoshi Iyatomi:
Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation. AACL/IJCNLP (Student Research Workshop) 2020: 1-7 - [i18]Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. CoRR abs/2002.10100 (2020) - [i17]Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi:
AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss. CoRR abs/2006.11586 (2020) - [i16]Shunsuke Kitada, Hitoshi Iyatomi:
Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training. CoRR abs/2009.12064 (2020) - [i15]Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis. CoRR abs/2010.06499 (2020) - [i14]Takumi Aoki, Shunsuke Kitada, Hitoshi Iyatomi:
Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation. CoRR abs/2011.04184 (2020) - [i13]Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda:
MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis. CoRR abs/2011.14132 (2020)
2010 – 2019
- 2019
- [c33]Yuto Onga, Shingo Fujiyama, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi:
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning. IEEE BigData 2019: 3764-3769 - [c32]Seiya Murabayashi, Hitoshi Iyatomi:
Towards Explainable Melanoma Diagnosis: Prediction of Clinical Indicators Using Semi-supervised and Multi-task Learning. IEEE BigData 2019: 4853-4857 - [c31]Hideaki Okamoto, Quan Huu Cap, Takakiyo Nomura, Hitoshi Iyatomi, Jun Hashimoto:
Stochastic Gastric Image Augmentation for Cancer Detection from X-ray Images. IEEE BigData 2019: 4858-4863 - [c30]Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi:
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. IEEE BigData 2019: 5177-5182 - [c29]Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. IEEE BigData 2019: 5195-5201 - [c28]Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
Super-Resolution for Practical Automated Plant Disease Diagnosis System. CISS 2019: 1-6 - [c27]Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki:
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives. KDD 2019: 2069-2077 - [i12]Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki:
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative. CoRR abs/1905.07289 (2019) - [i11]Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. CoRR abs/1910.11506 (2019) - [i10]Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi:
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. CoRR abs/1911.10727 (2019) - [i9]Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
Super-Resolution for Practical Automated Plant Disease Diagnosis System. CoRR abs/1911.11341 (2019) - [i8]Yuto Onga, Shingo Fujiyama, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi:
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning. CoRR abs/1912.01824 (2019) - 2018
- [c26]Shunsuke Kitada, Ryunosuke Kotani, Hitoshi Iyatomi:
End-to-End Text Classification via Image-based Embedding using Character-level Networks. AIPR 2018: 1-4 - [c25]Hiroki Tani, Ryunosuke Kotani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi:
Diagnosis of Multiple Cucumber Infections with Convolutional Neural Networks. AIPR 2018: 1-4 - [c24]Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi:
Significant Dimension Reduction of 3D Brain MRI using 3D Convolutional Autoencoders. EMBC 2018: 5162-5165 - [i7]Shunsuke Kitada, Hitoshi Iyatomi:
Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning. CoRR abs/1809.02568 (2018) - [i6]Shunsuke Kitada, Ryunosuke Kotani, Hitoshi Iyatomi:
End-to-End Text Classification via Image-based Embedding using Character-level Networks. CoRR abs/1810.03595 (2018) - 2016
- [c23]Takuya Yoshida, M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi:
Simple and effective pre-processing for automated melanoma discrimination based on cytological findings. IEEE BigData 2016: 3439-3442 - [c22]Daiki Shimada, Ryunosuke Kotani, Hitoshi Iyatomi:
Document classification through image-based character embedding and wildcard training. IEEE BigData 2016: 3922-3927 - [c21]Erika Fujita, Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
Basic Investigation on a Robust and Practical Plant Diagnostic System. ICMLA 2016: 989-992 - 2015
- [j12]Kouhei Shimizu, Hitoshi Iyatomi, M. Emre Celebi, Kerri-Ann Norton, Masaru Tanaka:
Four-Class Classification of Skin Lesions With Task Decomposition Strategy. IEEE Trans. Biomed. Eng. 62(1): 274-283 (2015) - [c20]Hiroki Misawa, Takashi Obara, Hitoshi Iyatomi:
Automated Habit Detection System: A Feasibility Study. ISVC (2) 2015: 16-23 - [c19]Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
Basic Study of Automated Diagnosis of Viral Plant Diseases Using Convolutional Neural Networks. ISVC (2) 2015: 638-645 - [c18]Keiichi Ohki, M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi:
Building of Readable Decision Trees for Automated Melanoma Discrimination. ISVC (2) 2015: 712-721 - [c17]Daiki Hirao, Hitoshi Iyatomi:
Prototype of Super-Resolution Camera Array System. ISVC (1) 2015: 911-920 - 2014
- [j11]Kouhei Shimizu, Hitoshi Iyatomi, Kerri-Ann Norton, M. Emre Celebi:
Extension of automated melanoma screening for non-melanocytic skin lesions. Int. J. Comput. Appl. Technol. 50(1/2): 122-130 (2014) - [j10]Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi, Hitoshi Iyatomi:
An ensemble classification approach for melanoma diagnosis. Memetic Comput. 6(4): 233-240 (2014) - [c16]Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi, Hitoshi Iyatomi, Aboul Ella Hassanien:
Melanoma Classification Based on Ensemble Classification of Dermoscopy Image Features. AMLTA 2014: 291-298 - [c15]Daiji Furusho, Hitoshi Iyatomi:
Registration and color calibration for dermoscopy images in time-course analysis. Computer-Aided Diagnosis 2014: 90353B - [c14]Kazuhiro Mukai, Hitoshi Iyatomi:
A preliminary study for fully automated quantification of psoriasis severity using image mapping. Computer-Aided Diagnosis 2014: 90353N - [c13]Hitoshi Iyatomi, Jun Hashimoto, Fumuhito Yoshii, Toshiki Kazama, Shuichi Kawada, Yutaka Imai:
Accurate discrimination of Alzheimer's disease from other dementia and/or normal subjects using SPECT specific volume analysis. Computer-Aided Diagnosis 2014: 903523 - 2013
- [c12]Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi, Hitoshi Iyatomi:
Melanoma Classification Using Dermoscopy Imaging and Ensemble Learning. ACPR 2013: 386-390 - [i5]M. Emre Celebi, Quan Wen, Sae Hwang, Hitoshi Iyatomi, Gerald Schaefer:
Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods. CoRR abs/1312.7345 (2013) - 2011
- [j9]Hitoshi Iyatomi, M. Emre Celebi, Gerald Schaefer, Masaru Tanaka:
Automated color calibration method for dermoscopy images. Comput. Medical Imaging Graph. 35(2): 89-98 (2011) - [j8]Gerald Schaefer, Maher I. Rajab, M. Emre Celebi, Hitoshi Iyatomi:
Colour and contrast enhancement for improved skin lesion segmentation. Comput. Medical Imaging Graph. 35(2): 99-104 (2011) - [c11]Takuya Yamakawa, Koichi Ogawa, Hitoshi Iyatomi, Etsuo Kunieda:
Feasibility evaluation of a motion detection system with face images for stereotactic radiosurgery. EMBC 2011: 425-428 - [c10]Masaru Kiyama, Hitoshi Iyatomi, Koichi Ogawa:
Robust video-oculography for non-invasive autonomic nerve quantification. EMBC 2011: 494-496 - 2010
- [c9]M. Emre Celebi, Sae Hwang, Hitoshi Iyatomi, Gerald Schaefer:
Robust border detection in dermoscopy images using threshold fusion. ICIP 2010: 2541-2544 - [c8]Hitoshi Iyatomi, M. Emre Celebi, Gerald Schaefer, Masaru Tanaka:
Automated color normalization for dermoscopy images. ICIP 2010: 4357-4360 - [i4]M. Emre Celebi, Hitoshi Iyatomi, William V. Stoecker, Randy H. Moss, Harold S. Rabinovitz, Giuseppe Argenziano, H. Peter Soyer:
Automatic Detection of Blue-White Veil and Related Structures in Dermoscopy Images. CoRR abs/1009.1013 (2010) - [i3]M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi, William V. Stoecker, Joseph M. Malters, James M. Grichnik:
An Improved Objective Evaluation Measure for Border Detection in Dermoscopy Images. CoRR abs/1009.1020 (2010) - [i2]M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker:
Approximate Lesion Localization in Dermoscopy Images. CoRR abs/1009.1362 (2010) - [i1]M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker:
Lesion Border Detection in Dermoscopy Images. CoRR abs/1011.0640 (2010)
2000 – 2009
- 2009
- [j7]M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker:
Lesion border detection in dermoscopy images. Comput. Medical Imaging Graph. 33(2): 148-153 (2009) - [c7]M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer:
Contrast enhancement in dermoscopy images by maximizing a histogram bimodality measure. ICIP 2009: 2601-2604 - [c6]Gerald Schaefer, Maher I. Rajab, M. Emre Celebi, Hitoshi Iyatomi:
Skin lesion extraction in dermoscopic images based on colour enhancement and iterative segmentation. ICIP 2009: 3361-3364 - [c5]M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker:
Localization of Lesions in Dermoscopy Images Using Ensembles of Thresholding Methods. PSIVT 2009: 1094-1103 - 2008
- [j6]Hitoshi Iyatomi, Hiroshi Oka, M. Emre Celebi, Masahiro Hashimoto, Masafumi Hagiwara, Masaru Tanaka, Koichi Ogawa:
An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm. Comput. Medical Imaging Graph. 32(7): 566-579 (2008) - [j5]M. Emre Celebi, Hitoshi Iyatomi, William V. Stoecker, Randy H. Moss, Harold S. Rabinovitz, Giuseppe Argenziano, H. Peter Soyer:
Automatic detection of blue-white veil and related structures in dermoscopy images. Comput. Medical Imaging Graph. 32(8): 670-677 (2008) - 2007
- [j4]M. Emre Celebi, Hassan A. Kingravi, Bakhtiyar Uddin, Hitoshi Iyatomi, Y. Alp Aslandogan, William V. Stoecker, Randy H. Moss:
A methodological approach to the classification of dermoscopy images. Comput. Medical Imaging Graph. 31(6): 362-373 (2007) - [c4]M. Emre Celebi, Hassan A. Kingravi, Hitoshi Iyatomi, JeongKyu Lee, Y. Alp Aslandogan, William Van Stoecker, Randy H. Moss, Joseph M. Malters, Ashfaq A. Marghoob:
Fast and accurate border detection in dermoscopy images using statistical region merging. Image Processing 2007: 65123V - 2006
- [j3]Hitoshi Iyatomi, Masafumi Hagiwara:
Multipurpose image recognition based on active search and adaptive fuzzy inference neural network. Syst. Comput. Jpn. 37(3): 69-79 (2006) - [c3]Hitoshi Iyatomi, Hiroshi Oka, Masaru Tanaka, Koichi Ogawa:
Automatic Identification of Shot Body Region from Clinical Photographies. AIPR 2006: 11 - 2005
- [c2]Hitoshi Iyatomi, Hiroshi Oka, Masahiro Hashimoto, Masaru Tanaka, Koichi Ogawa:
An Internet-based Melanoma Diagnostic System - Toward the Practical Application. CIBCB 2005: 443-446 - 2004
- [j2]Hitoshi Iyatomi, Masafumi Hagiwara:
Adaptive fuzzy inference neural network. Pattern Recognit. 37(10): 2049-2057 (2004) - 2002
- [j1]Hitoshi Iyatomi, Masafumi Hagiwara:
Scenery image recognition and interpretation using fuzzy inference neural networks. Pattern Recognit. 35(8): 1793-1806 (2002)
1990 – 1999
- 1998
- [c1]Hitoshi Iyatomi, Masafumi Hagiwara:
Knowledge extraction from scenery images and the recognition using fuzzy inference neural networks. SMC 1998: 4486-4491
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 2024-12-02 22:26 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:
