Добірка наукової літератури з теми "Novel class discovery"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Novel class discovery".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Novel class discovery"
Chen, Guangyao, Peixi Peng, Yangru Huang, Mengyue Geng, and Yonghong Tian. "Adaptive Discovering and Merging for Incremental Novel Class Discovery." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 10 (March 24, 2024): 11276–84. http://dx.doi.org/10.1609/aaai.v38i10.29006.
Повний текст джерелаDandliker, Peter J., Steve D. Pratt, Angela M. Nilius, Candace Black-Schaefer, Xiaoan Ruan, Danli L. Towne, Richard F. Clark, et al. "Novel Antibacterial Class." Antimicrobial Agents and Chemotherapy 47, no. 12 (December 2003): 3831–39. http://dx.doi.org/10.1128/aac.47.12.3831-3839.2003.
Повний текст джерелаWang, Weishuai, Ting Lei, Qingchao Chen, and Yang Liu. "Semantic-Guided Novel Category Discovery." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 6 (March 24, 2024): 5607–14. http://dx.doi.org/10.1609/aaai.v38i6.28371.
Повний текст джерелаShinozuka, Tsuyoshi, Shuichiro Ito, Takako Kimura, Masanori Izumi та Kenji Wakabayashi. "Discovery of a Novel Class of ERRα Agonists". ACS Medicinal Chemistry Letters 12, № 5 (21 квітня 2021): 817–21. http://dx.doi.org/10.1021/acsmedchemlett.1c00100.
Повний текст джерелаCubitt, Jonathan, Mari Davies, Ross Riseley, Gabrielle Evans, Sian E. Gardiner, Benson M. Kariuki, Simon E. Ward, Emyr Lloyd-Evans, Helen Waller-Evans, and D. Heulyn Jones. "Beware of N-Benzoyloxybenzamides." Molecules 29, no. 21 (October 31, 2024): 5143. http://dx.doi.org/10.3390/molecules29215143.
Повний текст джерелаFeng, Juexiao, Yuhong Yang, Yanchun Xie, Yaqian Li, Yandong Guo, Yuchen Guo, Yuwei He, Liuyu Xiang, and Guiguang Ding. "Debiased Novel Category Discovering and Localization." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 2 (March 24, 2024): 1753–60. http://dx.doi.org/10.1609/aaai.v38i2.27943.
Повний текст джерелаShearer, Barry G., Hari S. Patel, Andrew N. Billin, James M. Way, Deborah A. Winegar, Millard H. Lambert, Robert X. Xu та ін. "Discovery of a novel class of PPARδ partial agonists". Bioorganic & Medicinal Chemistry Letters 18, № 18 (вересень 2008): 5018–22. http://dx.doi.org/10.1016/j.bmcl.2008.08.011.
Повний текст джерелаCheleski, Juliana, Josmar R. Rocha, Matheus P. Pinheiro, Helton José Wiggers, Albérico B. F. da Silva, Maria C. Nonato, and Carlos A. Montanari. "Novel insights for dihydroorotate dehydrogenase class 1A inhibitors discovery." European Journal of Medicinal Chemistry 45, no. 12 (December 2010): 5899–909. http://dx.doi.org/10.1016/j.ejmech.2010.09.055.
Повний текст джерелаFukunaga, Alex S. "Automated Discovery of Local Search Heuristics for Satisfiability Testing." Evolutionary Computation 16, no. 1 (March 2008): 31–61. http://dx.doi.org/10.1162/evco.2008.16.1.31.
Повний текст джерелаHilgeroth, Andreas, Marc Hemmer, Sebastian Neuber, Josef Molnar, and Hermann Lage. "Discovery of 9,10-Dihydroacridines as Novel Class of ABCB1 Inhibitors." Medicinal Chemistry 11, no. 4 (April 29, 2015): 329–35. http://dx.doi.org/10.2174/1573406410666141111100720.
Повний текст джерелаДисертації з теми "Novel class discovery"
Troisemaine, Colin. "Novel class discovery in tabular data : an application to network fault diagnosis." Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2024. http://www.theses.fr/2024IMTA0422.
Повний текст джерелаThis thesis focuses on Novel Class Discovery (NCD) in the context of tabular data. The Novel Class Discovery problem consists in extracting knowledge from a labeled set of already known classes in order to more accurately partition an unlabeled set of new classes. Although NCD has recently received a lot of of attention from the community, it is generally addressed in computer vision problems and sometimes under unrealistic conditions. In particular, the number of novel classes is often assumed to be known in advance, and their labels are sometimes used to tune hyperparameters. Methods based on these assumptions are not applicable to realworld scenarios. Thus, in this thesis we focus on discovery resolution in tabular data when no a priori knowledge is available. The methods developed in the thesis are applied to a real-world case: automatic fault diagnosis in telecommunication networks, with a focus on fiber optic access networks. The aim is to achieve efficient fault management, particularly at the diagnosis stage when unknown faults (new classes) may appear
Ordway, Gregory A. "Discovery of a New Biological Target for the Development of a Novel Class of Antidepressant Drugs." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/8655.
Повний текст джерелаParker, Mackenzie James. "Discovery and investigation of the novel overall activity allosteric regulation of the Bacillus subtilis class Ib ribonucleotide reductase." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/109681.
Повний текст джерелаPage 490 blank. Cataloged from PDF version of thesis.
Includes bibliographical references.
Ribonucleotide reductases (RNRs) catalyze the reduction of nucleotides to 2'-deoxynucleotides in all organisms. Class lb RNRs consist of two subunits: a houses the catalytic and allosteric effector binding sites, and p houses a catalytically essential dimanganic-tyrosyl radical (Mn(III)2-Y*). The allosteric regulation of lb RNR activity has only been studied with the Salmonella enterica enzyme, which exhibits substrate specificity allosteric regulation by ATP and 2'-deoxynucleoside 5'-triphosphates (dNTPs), but not overall activity regulation by ATP and dATP. However, the S. enterica enzyme is not a good general model for Ib RNRs because it is not essential under most growth conditions, including pathogenesis. Other bacteria pathogenic to humans utilize lb RNRs as their sole source of dNTPs for DNA replication and repair. As RNR regulation plays a critical role in the high fidelity of these processes, the allosteric regulation of lb RNRs used as the primary dNTP supplier for a bacterium should be distinct from the S. enterica enzyme and, therefore, could provide a potential target for therapeutic development. Herein, the results of characterizing the allosteric regulation of the Ib RNR from the model organism Bacillus subtilis are presented. To facilitate these studies, we identified, cloned, and isolated the physiological reductant for RNR (thioredoxin/thioredoxin reductase/NADPH), thus allowing us to monitor activity spectrophotometrically. We discovered the effector dATP was a potent inhibitor of enzymatic activity at physiologically relevant concentrations, thereby demonstrating the first example of overall activity allosteric regulation in a class lb system. In other RNRs, overall activity regulation is mediated by a domain called the ATP-cone. This domain is absent from the B. subtilis enzyme; therefore, the inhibition represents a new mechanism of overall activity regulation. Analytical ultracentrifugation studies suggest dATP inhibition may be mediated by formation of large protein complexes. Biophysical studies also led to the discovery of tightly bound dAMP associated with a that increases the susceptibility of RNR to dATP inhibition. The potential physiological importance of dAMP is supported by studies examining YmaB, the unique fourth member of the B. subtilis RNR operon, which revealed this enzyme can hydrolyze dATP into dAMP and pyrophosphate and, therefore, might insert dAMP into a.
by Mackenzie James Parker.
Ph. D.
Книги з теми "Novel class discovery"
Stanton, Benjamin Z. Discovery and mechanistic characterization of a novel class of sonic hedgehog inhibitors. 2009.
Знайти повний текст джерелаYang, Jimmy Chen. Discovery, synthesis, and steps toward target identification of the novel 2-amino-3-hydroxyindole anti-malaria drug class. 2009.
Знайти повний текст джерелаCoqueiro, Wilma dos Santos. Poéticas do deslocamento: O Bildungsroman de autoria feminina contemporânea. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-338-1.
Повний текст джерелаRyoo, Jean J., Jane Margolis, and Charis JB. Power On! The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/14166.001.0001.
Повний текст джерелаCarmean, Karen. Ernest J. Gaines. Greenwood, 1998. http://dx.doi.org/10.5040/9798400647208.
Повний текст джерелаCao, Gang, and Lance DeLong. Physics of Spin-Orbit-Coupled Oxides. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780199602025.001.0001.
Повний текст джерелаZangwill, Andrew. A Mind Over Matter. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198869108.001.0001.
Повний текст джерелаZola, Émile. The Ladies' Paradise. Translated by Brian Nelson. Oxford University Press, 2008. http://dx.doi.org/10.1093/owc/9780199536900.001.0001.
Повний текст джерелаCrease, Robert P., and Peter D. Bond. The Leak. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/14577.001.0001.
Повний текст джерелаEliot, George, and K. M. Newton. Daniel Deronda. Edited by Graham Handley. Oxford University Press, 2014. http://dx.doi.org/10.1093/owc/9780199682867.001.0001.
Повний текст джерелаЧастини книг з теми "Novel class discovery"
Roy, Subhankar, Mingxuan Liu, Zhun Zhong, Nicu Sebe, and Elisa Ricci. "Class-Incremental Novel Class Discovery." In Lecture Notes in Computer Science, 317–33. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19827-4_19.
Повний текст джерелаJoseph, K. J., Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, and Vineeth N. Balasubramanian. "Novel Class Discovery Without Forgetting." In Lecture Notes in Computer Science, 570–86. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20053-3_33.
Повний текст джерелаNguyen, Hung, Xuejian Wang, and Leman Akoglu. "Continual Rare-Class Recognition with Emerging Novel Subclasses." In Machine Learning and Knowledge Discovery in Databases, 20–36. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46147-8_2.
Повний текст джерелаFeng, Wei, Lie Ju, Lin Wang, Kaimin Song, and Zongyuan Ge. "Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering." In Lecture Notes in Computer Science, 24–33. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43987-2_3.
Повний текст джерелаIslam, Mohammad Raihanul. "Recurring and Novel Class Detection in Concept-Drifting Data Streams Using Class-Based Ensemble." In Advances in Knowledge Discovery and Data Mining, 425–36. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06605-9_35.
Повний текст джерелаKefi, Takoua, Riadh Ksantini, Mohamed Bécha Kaâniche, and Adel Bouhoula. "A Novel Incremental Covariance-Guided One-Class Support Vector Machine." In Machine Learning and Knowledge Discovery in Databases, 17–32. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46227-1_2.
Повний текст джерелаSwalley, Susanne E., and Atwood K. Cheung. "Chapter 8. Identification of a Novel Class of Small Molecules for Spinal Muscular Atrophy Through High-throughput Phenotypic Screening." In Drug Discovery, 140–59. Cambridge: Royal Society of Chemistry, 2020. http://dx.doi.org/10.1039/9781839160721-00140.
Повний текст джерелаTroisemaine, Colin, Joachim Flocon-Cholet, Stéphane Gosselin, Alexandre Reiffers-Masson, Sandrine Vaton, and Vincent Lemaire. "An Interactive Interface for Novel Class Discovery in Tabular Data." In Lecture Notes in Computer Science, 295–99. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43430-3_18.
Повний текст джерелаHassan, Md Rafiul, Kotagiri Ramamohanarao, Chandan Karmakar, M. Maruf Hossain, and James Bailey. "A Novel Scalable Multi-class ROC for Effective Visualization and Computation." In Advances in Knowledge Discovery and Data Mining, 107–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13657-3_14.
Повний текст джерелаMasud, Mohammad M., Jing Gao, Latifur Khan, Jiawei Han, and Bhavani Thuraisingham. "Classification and Novel Class Detection in Data Streams with Active Mining." In Advances in Knowledge Discovery and Data Mining, 311–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13672-6_31.
Повний текст джерелаТези доповідей конференцій з теми "Novel class discovery"
Michalski, Tomasz, Dawid Rymarczyk, Daniel Barczyk, and Bartosz Zieliński. "ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery." In ESANN 2024, 273–78. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com, 2024. http://dx.doi.org/10.14428/esann/2024.es2024-70.
Повний текст джерелаLiu, Yu, Yaqi Cai, Qi Jia, Binglin Qiu, Weimin Wang, and Nan Pu. "Novel Class Discovery for Ultra-Fine-Grained Visual Categorization." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 17679–88. IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.01674.
Повний текст джерелаLiu, Jiaming, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, and Junming Shao. "Open-world Semi-supervised Novel Class Discovery." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/445.
Повний текст джерелаGu, Peiyan, Chuyu Zhang, Ruijie Xu, and Xuming He. "Class-relation Knowledge Distillation for Novel Class Discovery." In 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2023. http://dx.doi.org/10.1109/iccv51070.2023.01510.
Повний текст джерелаZhao, Yuyang, Zhun Zhong, Nicu Sebe, and Gim Hee Lee. "Novel Class Discovery in Semantic Segmentation." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.00430.
Повний текст джерелаMukherjee, Tanmoy, and Nikos Deligiannis. "Novel Class Discovery: A Dependency Approach." In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. http://dx.doi.org/10.1109/icassp43922.2022.9747827.
Повний текст джерелаLi, Wenbin, Zhichen Fan, Jing Huo, and Yang Gao. "Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery." In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2023. http://dx.doi.org/10.1109/cvpr52729.2023.00336.
Повний текст джерелаZhong, Zhun, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci, and Nicu Sebe. "Neighborhood Contrastive Learning for Novel Class Discovery." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.01072.
Повний текст джерелаFini, Enrico, Enver Sangineto, Stephane Lathuiliere, Zhun Zhong, Moin Nabi, and Elisa Ricci. "A Unified Objective for Novel Class Discovery." In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.00915.
Повний текст джерелаWei, Qian, Zongyong Cui, Yijie Deng, Bin Li, and Zongjie Cao. "Research on Novel Class Discovery of SAR Target." In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. http://dx.doi.org/10.1109/igarss52108.2023.10283051.
Повний текст джерелаЗвіти організацій з теми "Novel class discovery"
Barkan, Terrance. The Role of Graphene in Achieving e-Mobility in Aerospace Applications. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, December 2022. http://dx.doi.org/10.4271/epr2022030.
Повний текст джерелаAltstein, Miriam, and Ronald J. Nachman. Rational Design of Insect Control Agent Prototypes Based on Pyrokinin/PBAN Neuropeptide Antagonists. United States Department of Agriculture, August 2013. http://dx.doi.org/10.32747/2013.7593398.bard.
Повний текст джерелаDawson, William O., and Moshe Bar-Joseph. Creating an Ally from an Adversary: Genetic Manipulation of Citrus Tristeza. United States Department of Agriculture, January 2004. http://dx.doi.org/10.32747/2004.7586540.bard.
Повний текст джерела