Littérature scientifique sur le sujet « Novel class discovery »
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Articles de revues sur le sujet "Novel class discovery"
Chen, Guangyao, Peixi Peng, Yangru Huang, Mengyue Geng et Yonghong Tian. « Adaptive Discovering and Merging for Incremental Novel Class Discovery ». Proceedings of the AAAI Conference on Artificial Intelligence 38, no 10 (24 mars 2024) : 11276–84. http://dx.doi.org/10.1609/aaai.v38i10.29006.
Texte intégralDandliker, 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 (décembre 2003) : 3831–39. http://dx.doi.org/10.1128/aac.47.12.3831-3839.2003.
Texte intégralWang, Weishuai, Ting Lei, Qingchao Chen et Yang Liu. « Semantic-Guided Novel Category Discovery ». Proceedings of the AAAI Conference on Artificial Intelligence 38, no 6 (24 mars 2024) : 5607–14. http://dx.doi.org/10.1609/aaai.v38i6.28371.
Texte intégralShinozuka, Tsuyoshi, Shuichiro Ito, Takako Kimura, Masanori Izumi et Kenji Wakabayashi. « Discovery of a Novel Class of ERRα Agonists ». ACS Medicinal Chemistry Letters 12, no 5 (21 avril 2021) : 817–21. http://dx.doi.org/10.1021/acsmedchemlett.1c00100.
Texte intégralCubitt, Jonathan, Mari Davies, Ross Riseley, Gabrielle Evans, Sian E. Gardiner, Benson M. Kariuki, Simon E. Ward, Emyr Lloyd-Evans, Helen Waller-Evans et D. Heulyn Jones. « Beware of N-Benzoyloxybenzamides ». Molecules 29, no 21 (31 octobre 2024) : 5143. http://dx.doi.org/10.3390/molecules29215143.
Texte intégralFeng, Juexiao, Yuhong Yang, Yanchun Xie, Yaqian Li, Yandong Guo, Yuchen Guo, Yuwei He, Liuyu Xiang et Guiguang Ding. « Debiased Novel Category Discovering and Localization ». Proceedings of the AAAI Conference on Artificial Intelligence 38, no 2 (24 mars 2024) : 1753–60. http://dx.doi.org/10.1609/aaai.v38i2.27943.
Texte intégralShearer, Barry G., Hari S. Patel, Andrew N. Billin, James M. Way, Deborah A. Winegar, Millard H. Lambert, Robert X. Xu et al. « Discovery of a novel class of PPARδ partial agonists ». Bioorganic & ; Medicinal Chemistry Letters 18, no 18 (septembre 2008) : 5018–22. http://dx.doi.org/10.1016/j.bmcl.2008.08.011.
Texte intégralCheleski, Juliana, Josmar R. Rocha, Matheus P. Pinheiro, Helton José Wiggers, Albérico B. F. da Silva, Maria C. Nonato et Carlos A. Montanari. « Novel insights for dihydroorotate dehydrogenase class 1A inhibitors discovery ». European Journal of Medicinal Chemistry 45, no 12 (décembre 2010) : 5899–909. http://dx.doi.org/10.1016/j.ejmech.2010.09.055.
Texte intégralFukunaga, Alex S. « Automated Discovery of Local Search Heuristics for Satisfiability Testing ». Evolutionary Computation 16, no 1 (mars 2008) : 31–61. http://dx.doi.org/10.1162/evco.2008.16.1.31.
Texte intégralHilgeroth, Andreas, Marc Hemmer, Sebastian Neuber, Josef Molnar et Hermann Lage. « Discovery of 9,10-Dihydroacridines as Novel Class of ABCB1 Inhibitors ». Medicinal Chemistry 11, no 4 (29 avril 2015) : 329–35. http://dx.doi.org/10.2174/1573406410666141111100720.
Texte intégralThèses sur le sujet "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.
Texte intégralThis 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.
Texte intégralParker, 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.
Texte intégralPage 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.
Livres sur le sujet "Novel class discovery"
Stanton, Benjamin Z. Discovery and mechanistic characterization of a novel class of sonic hedgehog inhibitors. 2009.
Trouver le texte intégralYang, Jimmy Chen. Discovery, synthesis, and steps toward target identification of the novel 2-amino-3-hydroxyindole anti-malaria drug class. 2009.
Trouver le texte intégralCoqueiro, 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.
Texte intégralRyoo, Jean J., Jane Margolis et Charis JB. Power On ! The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/14166.001.0001.
Texte intégralCarmean, Karen. Ernest J. Gaines. Greenwood, 1998. http://dx.doi.org/10.5040/9798400647208.
Texte intégralCao, Gang, et Lance DeLong. Physics of Spin-Orbit-Coupled Oxides. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780199602025.001.0001.
Texte intégralZangwill, Andrew. A Mind Over Matter. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198869108.001.0001.
Texte intégralZola, Émile. The Ladies' Paradise. Traduit par Brian Nelson. Oxford University Press, 2008. http://dx.doi.org/10.1093/owc/9780199536900.001.0001.
Texte intégralCrease, Robert P., et Peter D. Bond. The Leak. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/14577.001.0001.
Texte intégralEliot, George, et K. M. Newton. Daniel Deronda. Sous la direction de Graham Handley. Oxford University Press, 2014. http://dx.doi.org/10.1093/owc/9780199682867.001.0001.
Texte intégralChapitres de livres sur le sujet "Novel class discovery"
Roy, Subhankar, Mingxuan Liu, Zhun Zhong, Nicu Sebe et Elisa Ricci. « Class-Incremental Novel Class Discovery ». Dans Lecture Notes in Computer Science, 317–33. Cham : Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19827-4_19.
Texte intégralJoseph, K. J., Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han et Vineeth N. Balasubramanian. « Novel Class Discovery Without Forgetting ». Dans Lecture Notes in Computer Science, 570–86. Cham : Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20053-3_33.
Texte intégralNguyen, Hung, Xuejian Wang et Leman Akoglu. « Continual Rare-Class Recognition with Emerging Novel Subclasses ». Dans 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.
Texte intégralFeng, Wei, Lie Ju, Lin Wang, Kaimin Song et Zongyuan Ge. « Towards Novel Class Discovery : A Study in Novel Skin Lesions Clustering ». Dans Lecture Notes in Computer Science, 24–33. Cham : Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43987-2_3.
Texte intégralIslam, Mohammad Raihanul. « Recurring and Novel Class Detection in Concept-Drifting Data Streams Using Class-Based Ensemble ». Dans 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.
Texte intégralKefi, Takoua, Riadh Ksantini, Mohamed Bécha Kaâniche et Adel Bouhoula. « A Novel Incremental Covariance-Guided One-Class Support Vector Machine ». Dans 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.
Texte intégralSwalley, Susanne E., et Atwood K. Cheung. « Chapter 8. Identification of a Novel Class of Small Molecules for Spinal Muscular Atrophy Through High-throughput Phenotypic Screening ». Dans Drug Discovery, 140–59. Cambridge : Royal Society of Chemistry, 2020. http://dx.doi.org/10.1039/9781839160721-00140.
Texte intégralTroisemaine, Colin, Joachim Flocon-Cholet, Stéphane Gosselin, Alexandre Reiffers-Masson, Sandrine Vaton et Vincent Lemaire. « An Interactive Interface for Novel Class Discovery in Tabular Data ». Dans Lecture Notes in Computer Science, 295–99. Cham : Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43430-3_18.
Texte intégralHassan, Md Rafiul, Kotagiri Ramamohanarao, Chandan Karmakar, M. Maruf Hossain et James Bailey. « A Novel Scalable Multi-class ROC for Effective Visualization and Computation ». Dans 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.
Texte intégralMasud, Mohammad M., Jing Gao, Latifur Khan, Jiawei Han et Bhavani Thuraisingham. « Classification and Novel Class Detection in Data Streams with Active Mining ». Dans 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.
Texte intégralActes de conférences sur le sujet "Novel class discovery"
Michalski, Tomasz, Dawid Rymarczyk, Daniel Barczyk et Bartosz Zieliński. « ProtoNCD : Prototypical Parts for Interpretable Novel Class Discovery ». Dans ESANN 2024, 273–78. Louvain-la-Neuve (Belgium) : Ciaco - i6doc.com, 2024. http://dx.doi.org/10.14428/esann/2024.es2024-70.
Texte intégralLiu, Yu, Yaqi Cai, Qi Jia, Binglin Qiu, Weimin Wang et Nan Pu. « Novel Class Discovery for Ultra-Fine-Grained Visual Categorization ». Dans 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 17679–88. IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.01674.
Texte intégralLiu, Jiaming, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang et Junming Shao. « Open-world Semi-supervised Novel Class Discovery ». Dans 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.
Texte intégralGu, Peiyan, Chuyu Zhang, Ruijie Xu et Xuming He. « Class-relation Knowledge Distillation for Novel Class Discovery ». Dans 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2023. http://dx.doi.org/10.1109/iccv51070.2023.01510.
Texte intégralZhao, Yuyang, Zhun Zhong, Nicu Sebe et Gim Hee Lee. « Novel Class Discovery in Semantic Segmentation ». Dans 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.00430.
Texte intégralMukherjee, Tanmoy, et Nikos Deligiannis. « Novel Class Discovery : A Dependency Approach ». Dans ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. http://dx.doi.org/10.1109/icassp43922.2022.9747827.
Texte intégralLi, Wenbin, Zhichen Fan, Jing Huo et Yang Gao. « Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery ». Dans 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2023. http://dx.doi.org/10.1109/cvpr52729.2023.00336.
Texte intégralZhong, Zhun, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci et Nicu Sebe. « Neighborhood Contrastive Learning for Novel Class Discovery ». Dans 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.01072.
Texte intégralFini, Enrico, Enver Sangineto, Stephane Lathuiliere, Zhun Zhong, Moin Nabi et Elisa Ricci. « A Unified Objective for Novel Class Discovery ». Dans 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.00915.
Texte intégralWei, Qian, Zongyong Cui, Yijie Deng, Bin Li et Zongjie Cao. « Research on Novel Class Discovery of SAR Target ». Dans IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. http://dx.doi.org/10.1109/igarss52108.2023.10283051.
Texte intégralRapports d'organisations sur le sujet "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, décembre 2022. http://dx.doi.org/10.4271/epr2022030.
Texte intégralAltstein, Miriam, et Ronald J. Nachman. Rational Design of Insect Control Agent Prototypes Based on Pyrokinin/PBAN Neuropeptide Antagonists. United States Department of Agriculture, août 2013. http://dx.doi.org/10.32747/2013.7593398.bard.
Texte intégralDawson, William O., et Moshe Bar-Joseph. Creating an Ally from an Adversary : Genetic Manipulation of Citrus Tristeza. United States Department of Agriculture, janvier 2004. http://dx.doi.org/10.32747/2004.7586540.bard.
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