default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKeisuke Maeda
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
[j53]Nozomu Onodera
, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Individual Persistence Adaptation for User-Centric Evaluation of User Satisfaction in Recommender Systems. IEEE Access 12: 23626-23635 (2024)- [j52]Keisuke Maeda, Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Multi-Modal Gaussian Process Latent Variable Model With Semi-Supervised Label Dequantization. IEEE Access 12: 127244-127258 (2024) - [j51]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Snow- or ice-covered road detection in winter road surface conditions using deep neural networks. Comput. Aided Civ. Infrastructure Eng. 39(19): 2935-2950 (2024) - [j50]Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Flexibly manipulating popularity bias for tackling trade-offs in recommendation. Inf. Process. Manag. 61(2): 103606 (2024) - [j49]Yuto Watanabe, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Automatic Findings Generation for Distress Images Using In-Context Few-Shot Learning of Visual Language Model Based on Image Similarity and Text Diversity. J. Robotics Mechatronics 36(2): 353-364 (2024) - [j48]Guang Li, Ren Togo, Keisuke Maeda, Akinori Sako, Isao Yamauchi, Tetsuya Hayakawa, Shigeyuki Nakamae, Takahiro Ogawa, Miki Haseyama:
Algal Bed Region Segmentation Based on a ViT Adapter Using Aerial Images for Estimating CO2 Absorption Capacity. Remote. Sens. 16(10): 1742 (2024) - [j47]Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Text-Guided Image Editing Based on Post Score for Gaining Attention on Social Media. Sensors 24(3): 921 (2024) - [j46]Yuhu Feng, Jiahuan Zhang, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
A Novel Frame-Selection Metric for Video Inpainting to Enhance Urban Feature Extraction. Sensors 24(10): 3035 (2024) - [j45]Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Analysis of Continual Learning Techniques for Image Generative Models with Learned Class Information Management. Sensors 24(10): 3087 (2024) - [j44]Yuya Moroto, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Multimodal Transformer Model Using Time-Series Data to Classify Winter Road Surface Conditions. Sensors 24(11): 3440 (2024) - [c113]Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Generative Dataset Distillation: Balancing Global Structure and Local Details. CVPR Workshops 2024: 7664-7671 - [c112]Kenta Uesugi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Zero-shot Composed Video Retrieval with Projection Module Bridging Modality Gap. GCCE 2024: 6-7 - [c111]Kaede Hayakawa, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Emotion-conditional Image Generation Reflecting Semantic Alignment with Text-to-Image Models. GCCE 2024: 10-11 - [c110]Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Improving Zero-shot Adversarial Robustness via Integrating Image Features of Foundation Models. GCCE 2024: 148-149 - [c109]Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Generative Dataset Distillation Based on Large Model Pool. GCCE 2024: 458-459 - [c108]Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
An Evaluation Metric for Single Image-to-3D Models Based on a Class Confidence Score of Object Detection Models. GCCE 2024: 1163-1164 - [c107]Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
MLLM-based Automatic Exploration of Editing Prompt for High Engagement Image Generation. GCCE 2024: 1165-1166 - [c106]Ryo Takahashi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Personalized Visual Emotion Classification via In-context Learning in Multimodal LLM. GCCE 2024: 1167-1168 - [c105]Shilin Liu, Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Zero-shot Controllable Music Generation from Videos Using Facial Expressions. GCCE 2024: 1169-1170 - [c104]Tasuku Nakajima, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Multimodal Adversarial Defense Trained on Features Extracted from Images and Brain Activity. GCCE 2024: 1183-1184 - [c103]Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Privacy Preserving Gaze Estimation Via Federated Learning Adapted To Egocentric Video. ICASSP 2024: 3500-3504 - [c102]Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Enhancing Noisy Label Learning Via Unsupervised Contrastive Loss with Label Correction Based on Prior Knowledge. ICASSP 2024: 6235-6239 - [c101]Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Caption Unification for Multi-View Lifelogging Images Based on In-Context Learning with Heterogeneous Semantic Contents. ICASSP 2024: 8085-8089 - [c100]Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Multi-Object Editing in Personalized Text-To-Image Diffusion Model Via Segmentation Guidance. ICASSP 2024: 8140-8144 - [c99]Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Motion-STUDiO : Motion Style Transfer Utilized for Dancing Operation by Considering Both Style and Dance Features. ICCE-Taiwan 2024: 127-128 - [c98]Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Introducing Class Replacement Technique in Class Incremental Learning in Generative Models. ICCE-Taiwan 2024: 457-458 - [c97]Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
What to Do and Where to Go Next? Action Prediction in Soccer Using Multimodal Co-Attention Transformer. MMSports@MM 2024: 75-79 - [c96]Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
An Evaluation Metric for Single Image-to-3D Models Based on Object Detection Perspective. SIGGRAPH Asia Technical Communications 2024: 31:1-31:4 - [c95]Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Generalizing Human Motion Style Transfer Method Based on Metadata-independent Learning. SIGGRAPH Asia Posters 2024: 78:1-78:3 - [i7]Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach. CoRR abs/2403.18258 (2024) - [i6]Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Generative Dataset Distillation: Balancing Global Structure and Local Details. CoRR abs/2404.17732 (2024) - [i5]Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Reinforcing Pre-trained Models Using Counterfactual Images. CoRR abs/2406.13316 (2024) - [i4]Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition. CoRR abs/2407.05814 (2024) - [i3]Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition. CoRR abs/2409.01534 (2024) - [i2]Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation. CoRR abs/2410.16698 (2024) - 2023
- [j43]Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
SpectralMAP: Approximating Data Manifold With Spectral Decomposition. IEEE Access 11: 31530-31540 (2023) - [j42]Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration. IEEE Access 11: 35447-35456 (2023) - [j41]Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Text-Guided Image Manipulation via Generative Adversarial Network With Referring Image Segmentation-Based Guidance. IEEE Access 11: 42534-42545 (2023) - [j40]Rintaro Yanagi, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Material Compound-Property Retrieval Using Electron Microscope Images for Rubber Material Development. IEEE Access 11: 88258-88264 (2023) - [j39]Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Visual Emotion Recognition Through Multimodal Cyclic-Label Dequantized Gaussian Process Latent Variable Model. J. Robotics Mechatronics 35(5): 1321-1330 (2023) - [j38]Takaaki Higashi, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Degradation Degree in Road Infrastructure Based on Multi-Modal ABN Using Contrastive Learning. Sensors 23(3): 1657 (2023) - [j37]Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Prediction of Shooting Events in Soccer Videos Using Complete Bipartite Graphs and Players' Spatial-Temporal Relations. Sensors 23(9): 4506 (2023) - [j36]Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships. Sensors 23(10): 4798 (2023) - [j35]Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Zero-Shot Neural Decoding with Semi-Supervised Multi-View Embedding. Sensors 23(15): 6903 (2023) - [j34]Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Manipulation Direction: Evaluating Text-Guided Image Manipulation Based on Similarity between Changes in Image and Text Modalities. Sensors 23(22): 9287 (2023) - [j33]Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Zero-Shot Traffic Sign Recognition Based on Midlevel Feature Matching. Sensors 23(23): 9607 (2023) - [c94]Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Improving Visual Counterfactual Explanation Models for Image Classification via CLIP. GCCE 2023: 390-391 - [c93]Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Caption Unification for Multiple Viewpoint Lifelogging Images and Its Verification. GCCE 2023: 415-416 - [c92]Haoyang Wang, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
A Controllable Recoloring Method for Novel Views Using Segment Anything Model. GCCE 2023: 587-588 - [c91]Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Novel Feature Extraction for Classification of Auditory-visual Stimuli from fNIRS Signals. GCCE 2023: 759-760 - [c90]Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Deterioration Level Estimation for Infrastructures Considering Noisy Labels via DivideMix. GCCE 2023: 829-830 - [c89]Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Text-to-image Diffusion Model Suppressing Catastrophic Forgetting via Elastic Weight Consolidation. GCCE 2023: 831-832 - [c88]Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Improving Dropout in Graph Convolutional Networks for Recommendation via Contrastive Loss. ICASSP 2023: 1-5 - [c87]Ryo Shichida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Visual Contents from Human Brain Signals via VQA Based on Brain-Specific Attention. ICASSP 2023: 1-5 - [c86]Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Learning Graph Laplacian from Intrinsic Patterns via Gaussian Process. ICASSP 2023: 1-5 - [c85]Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Defense Against Black-Box Adversarial Attacks Via Heterogeneous Fusion Features. ICASSP 2023: 1-5 - [c84]Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Yukie Shimizu, Shiro Watanabe, Kenji Hirata, Keisuke Maeda, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama:
Estimation of Amyloid-β Positivity Using QSM Images Considering Age Information. ICCE-Taiwan 2023: 165-166 - [c83]Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Shoot Event Prediction in Soccer Considering Expected Goals Based on Players' Positions. ICCE-Taiwan 2023: 449-450 - [c82]Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Prediction of Shoot Events by Considering Spatio-temporal Relations of Multimodal Features. ICCE-Taiwan 2023: 793-794 - [c81]Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Text-Guided Facial Image Manipulation for Wild Images via Manipulation Direction-Based Loss. ICIP 2023: 361-365 - [c80]Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Video-Music Retrieval with Fine-Grained Cross-Modal Alignment. ICIP 2023: 2005-2009 - [c79]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Multi-View Variational Recurrent Neural Network for Human Emotion Recognition Using Multi-Modal Biological Signals. ICIP 2023: 2925-2929 - [c78]Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Feature Integration via Back-Projection Ordering Multi-Modal Gaussian Process Latent Variable Model for Rating Prediction. ICIP 2023: 3125-3129 - [c77]Yuya Moroto, Rintaro Yanagi, Naoki Ogawa, Kyohei Kamikawa, Keigo Sakurai, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Personalized Content Recommender System via Non-verbal Interaction Using Face Mesh and Facial Expression. ACM Multimedia 2023: 9399-9401 - [i1]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Few-Shot Personalized Saliency Prediction Using Tensor Regression for Preserving Structural Global Information. CoRR abs/2307.02799 (2023) - 2022
- [j32]Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Refining Graph Representation for Cross-Domain Recommendation Based on Edge Pruning in Latent Space. IEEE Access 10: 12503-12509 (2022) - [j31]Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Chain centre loss: A psychology inspired loss function for image sentiment analysis. Neurocomputing 495: 118-128 (2022) - [j30]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Deterioration Level Estimation Based on Convolutional Neural Network Using Confidence-Aware Attention Mechanism for Infrastructure Inspection. Sensors 22(1): 382 (2022) - [j29]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Time-Lag Aware Latent Variable Model for Prediction of Important Scenes Using Baseball Videos and Tweets. Sensors 22(7): 2465 (2022) - [j28]Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks. Sensors 22(14): 5431 (2022) - [j27]Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Brain Decoding of Multiple Subjects for Estimating Visual Information Based on a Probabilistic Generative Model. Sensors 22(16): 6148 (2022) - [j26]Keisuke Maeda, Saya Takada, Tomoki Haruyama, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching. Sensors 22(22): 8932 (2022) - [j25]Keisuke Maeda, Ren Togo, Takahiro Ogawa, Shin-ichi Adachi, Fumiaki Yoshizawa, Miki Haseyama:
Trial Analysis of the Relationship between Taste and Biological Information Obtained While Eating Strawberries for Sensory Evaluation. Sensors 22(23): 9496 (2022) - [c76]Kazuki Yamamoto, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Cross-platform Recommendation Considering Common Users' Preferences Based on Preference Propagation GraphNet. GCCE 2022: 135-136 - [c75]Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Yukie Shimizu, Shiro Watanabe, Kenji Hirata, Keisuke Maeda, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama:
Prediction of Amyloid-β Positivity Using QSM Images Based on Bootstrap Your Own Latent. GCCE 2022: 137-138 - [c74]Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Refinement of Gaze-based Image Caption for Image Retrieval. GCCE 2022: 272-273 - [c73]Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
GCN-based Collaborative Filtering Considering Personality Bias. GCCE 2022: 278-279 - [c72]Ryo Shichida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Analysis of Relationships between Visual Cognitive Contents and Response of Each Brain Region via Visual Question Answering. GCCE 2022: 402-403 - [c71]Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Content-based Image Retrieval Using Effective Synthesized Images from Different Camera Views via pixelNeRF. GCCE 2022: 404-405 - [c70]Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Shoot Event Prediction from Soccer Videos by Considering Players' Spatio-Temporal Relations. GCCE 2022: 406-407 - [c69]Yutaka Yamada, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Trend Prediction of Students' Mock Examination Results Using Matrix Completion. GCCE 2022: 891-892 - [c68]Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Variational Bayesian Graph Convolutional Network for Robust Collaborative Filtering. ICASSP 2022: 3908-3912 - [c67]Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Distributed Label Dequantized Gaussian Process Latent Variable Model for Multi-View Data Integration. ICASSP 2022: 4643-4647 - [c66]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Human Emotion Recognition Using Multi-Modal Biological Signals Based On Time Lag-Considered Correlation Maximization. ICASSP 2022: 4683-4687 - [c65]Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Generative Adversarial Network Including Referring Image Segmentation For Text-Guided Image Manipulation. ICASSP 2022: 4818-4822 - [c64]Tsuyoshi Masuda, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Action Classification Based on LSTM Using First and Third Person Videos of Engineers Inspecting Bridges. ICCE-TW 2022: 303-304 - [c63]Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction. ICIP 2022: 1046-1050 - [c62]Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features. ICIP 2022: 2021-2025 - [c61]Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Gaussian Distributed Graph Constrained Multi-Modal Gaussian Process Latent Variable Model for Ordinal Labeled Data. ICIP 2022: 3798-3802 - [c60]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Few-Shot Personalized Saliency Prediction with Similarity of Gaze Tendency Using Object-Based Structural Information. ICIP 2022: 3823-3827 - [c59]Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Human-Centric Image Retrieval with Gaze-Based Image Captioning. ICIP 2022: 3828-3832 - [c58]Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Visual Sentiment Prediction Using Cross-Way Few-Shot Learning Based on Knowledge Distillation. ICIP 2022: 3838-3842 - [c57]Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Affective Embedding Framework with Semantic Representations from Tweets for Zero-Shot Visual Sentiment Prediction. MMAsia 2022: 6:1-6:7 - [c56]Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Popularity-Aware Graph Social Recommendation for Fully Non-Interaction Users. MMAsia 2022: 30:1-30:5 - [c55]Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Summarizing Data Structures with Gaussian Process and Robust Neighborhood Preservation. ECML/PKDD (5) 2022: 157-173 - [c54]Shinya Fujita, Ryo Ishimaru, Yuji Sakamoto, Keisuke Maeda, Osamu Okudaira, Yuji Sato, Toshinori Kuwahara, Takafumi Matsui:
Development of Spin Stabilization Control System for the Cosmic Dust Observation CubeSat. SII 2022: 114-119 - 2021
- [j24]Masanao Matsumoto, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis via Ordinal Label Dequantization for Image Interest Estimation. IEEE Access 9: 21810-21822 (2021) - [j23]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts' Knowledge. IEEE Access 9: 65234-65245 (2021) - [j22]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation Analysis. IEEE Access 9: 84971-84981 (2021) - [j21]Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Feature Integration Through Semi-Supervised Multimodal Gaussian Process Latent Variable Model With Pseudo-Labels for Interest Level Estimation. IEEE Access 9: 163843-163850 (2021) - [j20]Keisuke Maeda, Naoki Ogawa, Takahiro Ogawa, Miki Haseyama:
Reliable Estimation of Deterioration Levels via Late Fusion Using Multi-View Distress Images for Practical Inspection. J. Imaging 7(12): 273 (2021) - [j19]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Deterioration level estimation via neural network maximizing category-based ordinally supervised multi-view canonical correlation. Multim. Tools Appl. 80(15): 23091-23112 (2021) - [j18]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder. Sensors 21(6): 2045 (2021) - [j17]Ren Togo, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions. Sensors 21(6): 2088 (2021) - [c53]Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Graph Analysis-based Recommendation via Entity Embeddings Using Wikipedia. GCCE 2021: 5-6 - [c52]Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Analysis of Social Trends Related to COVID-19 Pandemic Utilizing Social Media Data. GCCE 2021: 43-44 - [c51]Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Visual Sentiment Prediction Using Few-shot Learning via Distribution Relations of Visual Features. GCCE 2021: 191-192 - [c50]Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Movie Rating Estimation Based on Weakly Supervised Multi-modal Latent Variable Model. GCCE 2021: 195-196 - [c49]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
A Trial of Fine-grained Classification of Expert-novice Level Using Bio-signals While Inspecting Subway Tunnels. GCCE 2021: 204-205 - [c48]Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Multi-label Image Recognition Based on Multi-modal Graph Convolutional Networks Using Captioning Features. GCCE 2021: 273-274 - [c47]Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Text-Guided Image Manipulation for Desired Region Using Referring Image Segmentation. GCCE 2021: 661-662 - [c46]Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Defense Against Image Captioning Attacks via A Robust and Stable Recurrent Neural Network. GCCE 2021: 785-786 - [c45]Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Visual Features of Viewed Image From Individual and Shared Brain Information Based on FMRI Data Using Probabilistic Generative Model. ICASSP 2021: 1335-1339 - [c44]Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder. ICASSP 2021: 1360-1364 - [c43]Masanao Matsumoto, Keisuke Maeda, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Multi-Modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label Estimation. ICASSP 2021: 3985-3989 - [c42]Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Feature Integration via Semi-Supervised Ordinally Multi-Modal Gaussian Process Latent Variable Model. ICASSP 2021: 4130-4134 - [c41]Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Cross-Domain Semi-Supervised Deep Metric Learning for Image Sentiment Analysis. ICASSP 2021: 4150-4154 - [c40]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Degradation Level Estimation of Road Structures via Attention Branch Network with Text Data. ICCE-TW 2021: 1-2 - [c39]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Correlation-Aware Attention Branch Network Using Multi-Modal Data For Deterioration Level Estimation Of Infrastructures. ICIP 2021: 1014-1018 - [c38]Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Deep Metric Network Via Heterogeneous Semantics for Image Sentiment Analysis. ICIP 2021: 1039-1043 - [c37]Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization. ICIP 2021: 1209-1213 - [c36]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Few-Shot Personalized Saliency Prediction using Person Similarity based on Collaborative Multi-Output Gaussian Process Regression. ICIP 2021: 1469-1473 - [c35]Tomoki Haruyama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Segmentation-Aware Text-Guided Image Manipulation. ICIP 2021: 2433-2437 - [c34]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes. ICIP 2021: 2678-2682 - [c33]Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information. ICIP 2021: 2688-2692 - [c32]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time Changes. LifeTech 2021: 67-68 - 2020
- [j16]Keisuke Maeda, Yoshiki Ito, Takahiro Ogawa, Miki Haseyama:
Supervised Fractional-Order Embedding Geometrical Multi-View CCA (SFGMCCA) for Multiple Feature Integration. IEEE Access 8: 114340-114353 (2020) - [j15]Keisuke Maeda, Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection. IEEE Access 8: 126109-126118 (2020) - [j14]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain Activity. IEEE Access 8: 203358-203368 (2020) - [j13]Takahiro Ogawa, Keisuke Maeda, Miki Haseyama:
Inpainting via Sparse Representation Based on a Phaseless Quality Metric. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(12): 1541-1551 (2020) - [j12]Keisuke Maeda, Kazaha Horii, Takahiro Ogawa, Miki Haseyama:
Multi-Task Convolutional Neural Network Leading to High Performance and Interpretability via Attribute Estimation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(12): 1609-1612 (2020) - [j11]Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Human-centered image classification via a neural network considering visual and biological features. Multim. Tools Appl. 79(7-8): 4395-4415 (2020) - [j10]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion. Sensors 20(7): 2146 (2020) - [j9]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention. Sensors 20(8): 2170 (2020) - [c31]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Important Scene Prediction of Baseball Videos Using Twitter and Video Analysis Based on LSTM. GCCE 2020: 636-637 - [c30]Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Cross-domain Recommendation via Multi-layer Graph Analysis Using User-item Embedding. GCCE 2020: 714-715 - [c29]Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Viewed Images Using Individual and Shared Brain Responses. GCCE 2020: 716-717 - [c28]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of User-Specific Visual Attention Considering Individual Tendency toward Gazed Objects. GCCE 2020: 745-746 - [c27]Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Images Matched with Audio-Induced Brain Activity via Modified DGCCA. GCCE 2020: 940-941 - [c26]Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Interest Level Estimation Based on Feature Integration Considering Distribution of Partially Paired User's Behavior, Videos and Posters. GCCE 2020: 944-945 - [c25]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Important Scene Detection Based on Anomaly Detection using Long Short-Term Memory for Baseball Highlight Generation. ICCE-TW 2020: 1-2 - [c24]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Person-Specific Visual Attention via Selection of Similar Persons. ICCE-TW 2020: 1-2 - [c23]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment. ICIP 2020: 46-50 - [c22]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation Maximization. ICIP 2020: 1236-1240 - [c21]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Mvgan Maximizing Time-Lag Aware Canonical Correlation for Baseball Highlight Generation. ICME Workshops 2020: 1-6 - [c20]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Distress Level Classification of Road Infrastructures via CNN Generating Attention Map. LifeTech 2020: 97-98 - [c19]Genki Suzuki, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Quantitative Analysis of Engineer's Skill Using Wearable Sensor Data while Inspecting Highway Bridge. LifeTech 2020: 111-112
2010 – 2019
- 2019
- [j8]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Convolutional sparse coding-based deep random vector functional link network for distress classification of road structures. Comput. Aided Civ. Infrastructure Eng. 34(8): 654-676 (2019) - [c18]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of User-Specific Visual Attention Based on Gaze Information of Similar Users. GCCE 2019: 477-478 - [c17]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Semantic Shot Classification in Baseball Videos Based on Similarities of Visual Features. GCCE 2019: 663-664 - [c16]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Region-based Distress Classification of Road Infrastructures via CNN without Region Annotation. GCCE 2019: 764-765 - [c15]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Multi-feature Fusion Based on Supervised Multi-view Multi-label Canonical Correlation Projection. ICASSP 2019: 3936-3940 - [c14]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
User-Specific Visual Attention Estimation Based on Visual Similarity and Spatial Information in Images. ICCE-TW 2019: 1-2 - [c13]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Neural Network Maximizing Ordinally Supervised Multi-View Canonical Correlation for Deterioration Level Estimation. ICIP 2019: 919-923 - [c12]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Emotion Labels via Tensor-Based Spatiotemporal Visual Attention Analysis. ICIP 2019: 4105-4109 - [c11]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Visual Attention via Canonical Correlation between Visual and Gaze-based Features. LifeTech 2019: 229-230 - 2018
- [j7]Takahiro Ogawa, Yuma Sasaka, Keisuke Maeda, Miki Haseyama:
Favorite Video Classification Based on Multimodal Bidirectional LSTM. IEEE Access 6: 61401-61409 (2018) - [j6]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Distress classification of class-imbalanced inspection data via correlation-maximizing weighted extreme learning machine. Adv. Eng. Informatics 37: 79-87 (2018) - [j5]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Estimation of Deterioration Levels of Transmission Towers via Deep Learning Maximizing Canonical Correlation Between Heterogeneous Features. IEEE J. Sel. Top. Signal Process. 12(4): 633-644 (2018) - [c10]Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
User-centric Visual Attention Estimation Based on Relationship between Image and Eye Gaze Data. GCCE 2018: 73-74 - [c9]Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
A Human-Centered Neural Network Model with Discriminative Locality Preserving Canonical Correlation Analysis for Image Classification. ICIP 2018: 2366-2370 - 2017
- [j4]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Distress Classification of Road Structures via Adaptive Bayesian Network Model Selection. J. Comput. Civ. Eng. 31(5) (2017) - [c8]Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Image classification for trend prediction based on integration of fNIRS and visual features. GCCE 2017: 1-2 - [c7]Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Automatic martian dust storm detection via decision level fusion basedondeep extreme learning machine. ICIP 2017: 435-439 - [c6]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Automatic estimation of deterioration level on transmission towers via deep extreme learning machine based on local receptive field. ICIP 2017: 2379-2383 - 2016
- [j3]Masamichi Shimosaka, Osamu Saisho, Takuya Sunakawa, Hidenori Koyasu, Keisuke Maeda, Ryoma Kawajiri:
ZigBee based wireless indoor localization with sensor placement optimization towards practical home sensing. Adv. Robotics 30(5): 315-325 (2016) - [c5]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Distress classification of road structures via decision level fusion. DSP 2016: 589-593 - 2015
- [j2]Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Automatic Martian Dust Storm Detection from Multiple Wavelength Data Based on Decision Level Fusion. Inf. Media Technol. 10(3): 473-477 (2015) - [j1]Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Automatic Martian Dust Storm Detection from Multiple Wavelength Data Based on Decision Level Fusion. IPSJ Trans. Comput. Vis. Appl. 7: 79-83 (2015) - [c4]Masamichi Shimosaka, Keisuke Maeda, Takeshi Tsukiji, Kota Tsubouchi:
Forecasting urban dynamics with mobility logs by bilinear Poisson regression. UbiComp 2015: 535-546 - [c3]Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Automatic detection of martian dust storms from heterogeneous data based on decision level fusion. ICIP 2015: 2246-2250 - 2014
- [c2]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Bayesian network-based distress estimation using image features in road structure assessment. GCCE 2014: 169-170 - 2013
- [c1]Rui Fukui, Keisuke Maeda, Masahiko Watanabe, Masamichi Shimosaka, Tomomasa Sato:
Numerical modeling of image discriminability for home storage and organization system on a smart device. UbiComp (Adjunct Publication) 2013: 187-190
Coauthor Index
[j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [i7] [i6] [i5] [i4] [i3] [i2] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [i1] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [j8] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [j7] [j6] [j5] [c10] [c9] [j4] [c8] [c7] [c6] [c5] [j2] [j1] [c3] [c2]
[j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [i7] [i6] [i5] [i4] [i3] [i2] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [i1] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [j8] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [j7] [j6] [j5] [c10] [c9] [j4] [c8] [c7] [c6] [c5] [j2] [j1] [c3] [c2]
[j50] [j48] [j47] [j46] [j45] [j44] [c113] [c111] [c110] [c109] [c108] [c107] [c104] [c102] [c101] [c100] [c99] [c98] [c96] [c95] [i7] [i6] [i5] [i4] [i3] [j41] [j40] [j34] [j33] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c84] [c81] [c80] [c77] [j26] [j25] [c76] [c75] [c73] [c72] [c71] [c65] [c64] [c63] [j17] [c47] [c35]
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 2024-12-23 19:25 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:
