Suchergebnisse - "Conditional autoencoder"

A Conditional Autoencoder for Galaxy Photometric Parameter Estimation

Autoren: Yin, Jun E. Eisenstein, Daniel J. Finkbeiner, Douglas P. et al.

Quelle: Publications of the Astronomical Society of the Pacific, 2022 Apr 01. 134(1034), 1-11.

Zugangs-URL: https://www.jstor.org/stable/27303097

A surrogate modeling framework for aircraft assembly deformation using triplet attention-enhanced conditional autoencoder

Autoren: Yifan Zhang Qiang Zhang Ye Hu et al.

Quelle: Journal of Manufacturing Systems. 77:708-729

Conditional Autoencoder for Generating Binary Neutron Star Waveforms with Tidal and Precession Effects

Autoren: Sun, Mengfei Wu, Jie Li, Jin et al.

Index Begriffe: Astrophysics - Astrophysics of Galaxies, text

URL: http://arxiv.org/abs/2503.19512

PROTRIDER: Protein abundance outlier detection from mass spectrometry-based proteomics data with a conditional autoencoder

Autoren: Daniela Klaproth-Andrade Ines F. Scheller Georgios Tsitsiridis et al.

Conditional Autoencoder for Generation of Mep Layouts

Autoren: Sy Tuan NGUYEN

PROTRIDER: Protein abundance outlier detection from mass spectrometry-based proteomics data with a conditional autoencoder.

Autoren: Klaproth-Andrade D Scheller IF Tsitsiridis G et al.

Quelle: Bioinformatics (Oxford, England) [Bioinformatics] 2025 Nov 20. Date of Electronic Publication: 2025 Nov 20.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

Appliance V-I Trajectory Detection for NILM based on Conditional Autoencoder

Autoren: Zhiwen Yu Ruifeng Zhao Ruiyao Jia et al.

Quelle: 2023 IEEE Sustainable Power and Energy Conference (iSPEC). :1-5

Correction: Conditional autoencoder asset pricing models for the Korean stock market.

Autoren: Eunchong Kim Taehee Cho Bonha Koo et al.

Quelle: PLoS ONE, Vol 20, Iss 3, p e0320348 (2025)

Schlagwörter: Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1932-6203

Zugangs-URL: https://doaj.org/article/f18c61878c7f468a97a102910dfe2ecb

Abstract: Physics-informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T

Autoren: Junaid R. Rajput Tim A. Möhle Moritz S. Fabian et al.

Quelle: Informatik aktuell ISBN: 9783658440367

CAESR: Conditional Autoencoder and Super-Resolution for Learned Spatial Scalability

Autoren: Bonnincau, Charles Hamidouche, Wassim Travers, Jean-Francois et al.

Weitere Verfasser: Bonnincau, Charles Hamidouche, Wassim Travers, Jean-Francois et al.

Quelle: 2021 International Conference on Visual Communications and Image Processing (VCIP). :1-5

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing, Electrical Engineering and Systems Science - Signal Processing

Zugangs-URL: http://arxiv.org/pdf/2202.00416
http://arxiv.org/abs/2202.00416

Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder

Autoren: Liu, Zhenghao Zhang, Han Xiong, Chenyan et al.

Quelle: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. :5692-5698

Schlagwörter: FOS: Computer and information sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, Information Retrieval (cs.IR), Computer Science - Information Retrieval, 0105 earth and related environmental sciences

Zugangs-URL: http://arxiv.org/abs/2205.03284

Multi-instance Conditional Autoencoder a data driven compression model for strongly correlated datasets

Autoren: Jalal Al-afandi Andras Horvath

Quelle: 2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). :1-5

Zugangs-URL: https://dblp.uni-trier.de/db/conf/bmsb/bmsb2021.html#Al-AfandiH21

Intra-Frame Coding Using a Conditional Autoencoder

Autoren: Fabian Brand Jurgen Seiler Andre Kaup

Quelle: IEEE Journal of Selected Topics in Signal Processing. 15:354-365

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/4200690/9359898/09244548.pdf
https://ui.adsabs.harvard.edu/abs/2021ISTSP..15..354B/abstract
https://ieeexplore.ieee.org/document/9244548/
https://dblp.uni-trier.de/db/journals/jstsp/jstsp15.html#BrandSK21

An Attention Free Conditional Autoencoder For Anomaly Detection in Cryptocurrencies

Autoren: Inzirillo, Hugo De Villelongue, Ludovic

Index Begriffe: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2304.10614

Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T

Autoren: Junaid R. Rajput Tim A. Möhle Moritz S. Fabian et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783031439926

Conditional autoencoder pre-training and optimization algorithms for personalized care of hemophiliac patients

Autoren: Cédric Buche François Lasson Sébastien Kerdelo et al.

Weitere Verfasser: Cédric Buche François Lasson Sébastien Kerdelo et al.

Quelle: Front Artif Intell
Frontiers in Artificial Intelligence, Vol 6 (2023)

Schlagwörter: autoencoder, 0301 basic medicine, deep learning, QA75.5-76.95, 02 engineering and technology, [INFO] Computer Science [cs], conditional pre-training, 3. Good health, 03 medical and health sciences, Artificial Intelligence, hemophilia, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, global assays, incremental optimization

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36762254
https://doaj.org/article/cd4006cbeaef487585a9b37ecfed2298

F0-Consistent Many-To-Many Non-Parallel Voice Conversion Via Conditional Autoencoder

Autoren: Zeyu Jin Mark Hasegawa-Johnson Kaizhi Qian et al.

Quelle: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :6284-6288

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Machine Learning (stat.ML), 02 engineering and technology, Computer Science - Sound, Machine Learning (cs.LG), 03 medical and health sciences, Statistics - Machine Learning, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 0305 other medical science, Electrical Engineering and Systems Science - Audio and Speech Processing

Zugangs-URL: http://arxiv.org/pdf/2004.07370
http://arxiv.org/abs/2004.07370
https://www.arxiv-vanity.com/papers/2004.07370/
https://ui.adsabs.harvard.edu/abs/2020arXiv200407370Q/abstract
https://experts.illinois.edu/en/publications/f0-consistent-many-to-many-non-parallel-voice-conversion-via-cond
https://arxiv.org/pdf/2004.07370.pdf
https://arxiv.org/abs/2004.07370
https://ieeexplore.ieee.org/abstract/document/9054734

Variable Rate Deep Image Compression With a Conditional Autoencoder

Autoren: Jungwon Lee Yoojin Choi Mostafa El-Khamy

Quelle: 2019 IEEE/CVF International Conference on Computer Vision (ICCV). :3146-3154

Schlagwörter: FOS: Computer and information sciences, 03 medical and health sciences, 0302 clinical medicine, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing

Zugangs-URL: http://arxiv.org/pdf/1909.04802
http://arxiv.org/abs/1909.04802
https://openaccess.thecvf.com/content_ICCV_2019/papers/Choi_Variable_Rate_Deep_Image_Compression_With_a_Conditional_Autoencoder_ICCV_2019_paper.pdf
https://dblp.uni-trier.de/db/conf/iccv/iccv2019.html#ChoiEL19
https://openaccess.thecvf.com/content_ICCV_2019/html/Choi_Variable_Rate_Deep_Image_Compression_With_a_Conditional_Autoencoder_ICCV_2019_paper.html
http://dblp.uni-trier.de/db/journals/corr/corr1909.html#abs-1909-04802
https://www.arxiv-vanity.com/papers/1909.04802/

Aggregate Model for Power Load Forecasting Based on Conditional Autoencoder

Autoren: Yuhang Qiu Yong Sun Chang Liu et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783030845285

Schlagwörter: 7. Clean energy

Zugangs-URL: https://link.springer.com/chapter/10.1007/978-3-030-84529-2_34
https://dblp.uni-trier.de/db/conf/icic/icic2021-2.html#QiuSLLWP21

Conditional autoencoder asset pricing models for the Korean stock market.

Autoren: Eunchong Kim Taehee Cho Bonha Koo et al.

Quelle: PLoS ONE, Vol 18, Iss 7, p e0281783 (2023)

Schlagwörter: Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0281783&type=printable; https://doaj.org/toc/1932-6203

Zugangs-URL: https://doaj.org/article/1b616f58bb2347578233566f6a977942