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Publication search results
found 89 matches
- 2024
- Séverin Lemaignan, Nigel Newbutt, Louis Rice, Joe Daly:
"It's Important to Think of Pepper as a Teaching Aid or Resource External to the Classroom": A Social Robot in a School for Autistic Children. Int. J. Soc. Robotics 16(6): 1083-1104 (2024) - 2023
- Tejalal Choudhary, Shubham Gujar, Anurag Goswami, Vipul Mishra, Tapas Badal:
Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification. Appl. Intell. 53(6): 7201-7215 (2023) - Dror Cohen, Ido Rosenberger, Moshe Butman, Kfir Bar:
Masking important information to assess the robustness of a multimodal classifier for emotion recognition. Frontiers Artif. Intell. 6 (2023) - Serkan Alkan:
Industry classifications and identification of important industry groups. Int. J. Bus. Intell. Data Min. 23(3): 303-324 (2023) - Ngoc Thuy Thi Thai, Bram de Wever, Martin Valcke:
Feedback: an important key in the online environment of a flipped classroom setting. Interact. Learn. Environ. 31(2): 924-937 (2023) - Davis Brown, Henry Kvinge:
Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools. CVPR Workshops 2023: 620-627 - Mei Li, Zeyu Yan, Changsheng Li:
Class Incremental Learning with Important and Diverse Memory. ICIG (4) 2023: 164-175 - 2022
- Wanli Liu, Chen Li, Md Mamunur Rahaman, Tao Jiang, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers. Comput. Biol. Medicine 141: 105026 (2022) - Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
How important is data quality? Best classifiers vs best features. Neurocomputing 470: 365-375 (2022) - Xin An, Xin Sun, Shuo Xu:
Important citations identification with semi-supervised classification model. Scientometrics 127(11): 6533-6555 (2022) - Hassan M. El-Owaidy, Ahmed A. El-Deeb, Samer D. Makharesh, Dumitru Baleanu, Clemente Cesarano:
On Some Important Class of Dynamic Hilbert's-Type Inequalities on Time Scales. Symmetry 14(7): 1395 (2022) - Kento Masuda, Yui Hayakawa, Kazumasa Yamamoto, Seiichi Nakagawa:
Summarization of Spoken Lectures Based on MMR Method and Important/Unimportant Sentence Classification Using BERT. GCCE 2022: 361-364 - Yuna Han, Wonseok Yoon, Hangbae Chang:
A Study on Graph-based Classification for Important Technical Documents. ICTC 2022: 632-635 - Wu Zeng, Hengliang Zhu, Linkai Chen, Guangda Xu, Shihao Zhao:
Few-Shot Image Classification Method Based on Fusion of Important Features of Different Scales. PRICAI (2) 2022: 513-524 - Ameya D. Jagtap, George Em Karniadakis:
How important are activation functions in regression and classification? A survey, performance comparison, and future directions. CoRR abs/2209.02681 (2022) - 2021
- József Dombi, Tamás Jónás:
A unified approach to four important classes of unary operators. Int. J. Approx. Reason. 133: 80-94 (2021) - Xin An, Xin Sun, Shuo Xu:
Important Citations Identification with Semi-supervised Classification Model. AII@iConference 2021: 164-170 - Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar:
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals. WSDM 2021: 607-615 - Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Changhao Sun, Marcin Grzegorzek:
Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers. CoRR abs/2105.07402 (2021) - Swarup Dhar, Vanessa Massaro, Darakhshan Mir, Nathan C. Ryan:
Analysis of the Pennsylvania Additive Classification Tool: Biases and Important Features. CoRR abs/2112.05860 (2021) - 2020
- Xinyue Wang, Bo Liu, Siyu Cao, Liping Jing, Jian Yu:
Important sampling based active learning for imbalance classification. Sci. China Inf. Sci. 63(8): 1-14 (2020) - Jack Scantlebury, Nathan Brown, Frank von Delft, Charlotte M. Deane:
Data Set Augmentation Allows Deep Learning-Based Virtual Screening to Better Generalize to Unseen Target Classes and Highlight Important Binding Interactions. J. Chem. Inf. Model. 60(8): 3722-3730 (2020) - Abdullah Al Mamun, Wenrui Duan, Ananda Mohan Mondal:
Pan-cancer Feature Selection and Classification Reveals Important Long Non-coding RNAs. BIBM 2020: 2417-2424 - Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth:
Classification of Important Segments in Educational Videos using Multimodal Features. CIKM (Workshops) 2020 - Xin Sun, Xin An, Shuo Xu, Liyuan Hao, Jinghong Li:
Identifying Important Citations by Incorporating Generative Model into Discriminative Classifiers. IMMS 2020: 72-76 - Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth:
Classification of Important Segments in Educational Videos using Multimodal Features. CoRR abs/2010.13626 (2020) - Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar:
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals. CoRR abs/2011.11631 (2020) - 2019
- Morteza Davari, Erik Demeulemeester:
Important classes of reactions for the proactive and reactive resource-constrained project scheduling problem. Ann. Oper. Res. 274(1-2): 187-210 (2019) - E. Sivasankar, R. Pradeep, S. Sivanandham:
Identification of important biomarkers for detection of chronic kidney disease using feature selection and classification algorithms. Int. J. Medical Eng. Informatics 11(4): 368-385 (2019) - Marwan Ghanem:
Méthodes de classification pour l'identification de nœuds importantes dans les graphes dynamiques. CORIA 2019
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