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Publication search results
found 204 matches
- 2021
- Jinke Lin
, Qingling Cai
, Manying Lin
:
Multi-Label Classification of Fundus Images With Graph Convolutional Network and Self-Supervised Learning. IEEE Signal Process. Lett. 28: 454-458 (2021) - Zhengping Liang, Jiyu Zeng, Ling Liu, Zexuan Zhu:
A many-objective optimization algorithm with mutation strategy based on variable classification and elite individual. Swarm Evol. Comput. 60: 100769 (2021) - Mohammad Hosseini, Mahmudul Hasan:
The Case for High-Accuracy Classification: Think Small, Think Many! CoRR abs/2103.10350 (2021) - 2020
- Hamed Alimohammadi
, Mahmood Ahmadi
:
Common non-wildcard portion-based partitioning approach to SDN many-field packet classification. Comput. Networks 181: 107534 (2020) - Saleh Shahinfar, Paul D. Meek
, Gregory Falzon
:
"How many images do I need?" Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring. Ecol. Informatics 57: 101085 (2020) - Felip Manyà, Santiago Negrete, Carme Roig, Joan Ramon Soler:
Solving the Team Composition Problem in a Classroom. Fundam. Informaticae 174(1): 83-101 (2020) - Roberto Ciuni, Massimiliano Carrara
:
Normality operators and classical recapture in many-valued logic. Log. J. IGPL 28(5): 657-683 (2020) - Aladdin A. Abdulhassan
, Mahmood Ahmadi
:
Many-field packet classification using CR-tree. J. High Speed Networks 26(2): 125-140 (2020) - Sabenabanu Abdulkadhar
, Gurusamy Murugesan
, Jeyakumar Natarajan:
Classifying protein-protein interaction articles from biomedical literature using many relevant features and context-free grammar. J. King Saud Univ. Comput. Inf. Sci. 32(5): 553-560 (2020) - Hongbin Dong, Jing Sun, Xiaohang Sun, Rui Ding:
A many-objective feature selection for multi-label classification. Knowl. Based Syst. 208: 106456 (2020) - Robert D. Chambers
, Nathanael C. Yoder
:
FilterNet: A Many-to-Many Deep Learning Architecture for Time Series Classification. Sensors 20(9): 2498 (2020) - Tariro Manyumwa, Phillip Francis Chapita, Hanlu Wu, Shouling Ji:
Towards Fighting Cybercrime: Malicious URL Attack Type Detection using Multiclass Classification. IEEE BigData 2020: 1813-1822 - Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani:
Generalized Many-Way Few-Shot Video Classification. ECCV Workshops (6) 2020: 111-127 - Beyza Bozdemir, Orhan Ermis, Melek Önen:
ProteiNN: Privacy-preserving One-to-Many Neural Network Classifications. ICETE (2) 2020: 397-404 - Aram Wettroth Harrow, Saeed Mehraban, Mehdi Soleimanifar:
Classical algorithms, correlation decay, and complex zeros of partition functions of quantum many-body systems. STOC 2020: 378-386 - Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. CoRR abs/2006.15479 (2020) - Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani:
Generalized Many-Way Few-Shot Video Classification. CoRR abs/2007.04755 (2020) - Saleh Shahinfar, Paul D. Meek, Gregory Falzon:
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring. CoRR abs/2010.08186 (2020) - 2019
- Meng Liu, Yusheng Li, Qizhong Lin:
Class Ramsey numbers of odd cycles in many colors. Appl. Math. Comput. 363 (2019) - Sofiane Khoutir
:
Infinitely many high energy radial solutions for a class of nonlinear Schrödinger-Poisson systems in R3. Appl. Math. Lett. 90: 139-145 (2019) - Ethan Lantz, Jared Keeley, Michael C. Roberts
, Maria Elena Medina-Mora, Pratap Sharan, Geoffrey M. Reed:
Card Sorting Data Collection Methodology: How Many Participants Is Most Efficient? J. Classif. 36(3): 649-658 (2019) - Leonid Devyatkin:
Many-valued Paraconsistent Extensions of Classical Positive Propositional Calculus. FLAP 6(2): 229-254 (2019) - Aaron Fisher, Cynthia Rudin, Francesca Dominici:
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously. J. Mach. Learn. Res. 20: 177:1-177:81 (2019) - Hamed Alimohammadi
, Mahmood Ahmadi
:
Clustering-based many-field packet classification in Software-Defined Networking. J. Netw. Comput. Appl. 147 (2019) - Cheng Zheng, Tongtong Hong, Manyi Xue:
用于短文本分类的BLSTM_MLPCNN模型 (BLSTM_MLPCNN Model for Short Text Classification). 计算机科学 46(6): 206-211 (2019) - Cheng Zheng, Manyi Xue, Tongtong Hong, Feibao Song:
用于短文本分类的DC-BiGRU_CNN模型 (DC-BiGRU_CNN Model for Short-text Classification). 计算机科学 46(11): 186-192 (2019) - Felix Abramovich, Marianna Pensky:
Classification with many classes: Challenges and pluses. J. Multivar. Anal. 174 (2019) - Anirudh Manyala, Hisham Cholakkal, Vijay Anand, Vivek Kanhangad
, Deepu Rajan:
CNN-based gender classification in near-infrared periocular images. Pattern Anal. Appl. 22(4): 1493-1504 (2019) - Yu-Feng Yu
, Chuan-Xian Ren
, Min Jiang
, Man-Yu Sun, Dao-Qing Dai
, Guodong Guo
:
Sparse approximation to discriminant projection learning and application to image classification. Pattern Recognit. 96 (2019) - Linqiang Pan
, Cheng He
, Ye Tian, Handing Wang
, Xingyi Zhang
, Yaochu Jin
:
A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(1): 74-88 (2019)
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