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Publication search results
found 54 matches
- 2023
- Tenshi Ito, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning. IJCNN 2023: 1-8 - 2022
- Jing Liu, Yue Wang, Lihua Huang, Chenghong Zhang, Songzheng Zhao:
Identifying Adverse Drug Reaction-Related Text from Social Media: A Multi-View Active Learning Approach with Various Document Representations. Inf. 13(4): 189 (2022) - Ahmadreza Meysami, Jean-Christophe Cuillière, Vincent François, Sousso Kelouwani:
Investigating the Impact of Triangle and Quadrangle Mesh Representations on AGV Path Planning for Various Indoor Environments: With or Without Inflation. Robotics 11(2): 50 (2022) - Yeonghwan Jeon, Junhyung Kim:
Next POI Recommender System: Multi-view Representation Learning for Outstanding Performance in Various Context. ICDM (Workshops) 2022: 1154-1161 - Mark Niemeyer, Sebastian Pütz, Joachim Hertzberg:
A Spatio-Temporal-Semantic Environment Representation for Autonomous Mobile Robots equipped with various Sensor Systems. MFI 2022: 1-6 - Maksim Zubkov, Egor Spirin, Egor Bogomolov, Timofey Bryksin:
Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection. CoRR abs/2206.08726 (2022) - 2021
- Jing Liu, Lihua Huang, Chenghong Zhang:
An Active Learning Approach for Identifying Adverse Drug Reaction-Related Text from Social Media Using Various Document Representations. WISA 2021: 3-15 - Jing Liu, Xiaoying Wang, Lihua Huang:
Fusing Various Document Representations for Comparative Text Identification from Product Reviews. WISA 2021: 531-543 - Rafal Drezewski, Grzegorz Wator:
Chess as Sequential Data in a Chess Match Outcome Prediction Using Deep Learning with Various Chessboard Representations. KES 2021: 1760-1769 - D. Janakieva, Georgina Mirceva, Sonja Gievska:
Fake News Detection by Using Doc2Vec Representation Model and Various Classification Algorithms. MIPRO 2021: 223-228 - Adam Szwajcowski:
Objective-oriented method for uniformation of various directivity representations. CoRR abs/2109.14370 (2021) - 2020
- Qiaoqin Li, Yongguo Liu, Shangming Yang:
Exploiting Linear Manifold Features With Parts-Based Representation in Various Scenes. IEEE Access 8: 50045-50056 (2020) - Sidney R. Lehky, Anh Huy Phan, Andrzej Cichocki, Keiji Tanaka:
Face Representations via Tensorfaces of Various Complexities. Neural Comput. 32(2): 281-329 (2020) - Chanjira Sinthanayothin, Wisarut Bholsithi, Duangrat Gansawat, Nonlapas Wongwaen, Piyanut Xuto, Nantaporn Ratisoontorn, Parut Bunporn, Supiya Charoensiriwath:
Simulation of three-dimensional female body shapes with proportional representation for various weights and heights. Simul. 96(11) (2020) - 2019
- Donghwa Kim, Deokseong Seo, Suhyoun Cho, Pilsung Kang:
Multi-co-training for document classification using various document representations: TF-IDF, LDA, and Doc2Vec. Inf. Sci. 477: 15-29 (2019) - Michal Wroclawski:
Representations of Natural Numbers and Computability of Various Functions. CiE 2019: 298-309 - Michal Bidlo:
Evolution of cellular automata development using various representations. GECCO (Companion) 2019: 107-108 - Akira Terauchi, Naoki Mori, Miki Ueno:
Analysis Based on Distributed Representations of Various Parts Images in Four-Scene Comics Story Dataset. GREC@ICDAR 2019: 50-55 - Antonia Breuer, Sven Elflein, Tim Joseph, Jan-Aike Bolte, Silviu Homoceanu, Tim Fingscheidt:
Analysis of the Effect of Various Input Representations for LSTM-Based Trajectory Prediction. ITSC 2019: 2728-2735 - 2018
- Jie Dong, Zhi-Jiang Yao, Lin Zhang, Feijun Luo, Qinlu Lin, Ai-Ping Lu, Alex F. Chen, Dong-Sheng Cao:
PyBioMed: a python library for various molecular representations of chemicals, proteins and DNAs and their interactions. J. Cheminformatics 10(1): 16:1-16:11 (2018) - Runtao Yang, Chengjin Zhang, Lina Zhang:
PSSM-PROREP: A Flexible Web Server for Generating Various Position Specific Score Matrix-derived Protein Representations. ICIA 2018: 1524-1529 - 2016
- Xin Wang, Shinji Takaki, Junichi Yamagishi:
Investigation of Using Continuous Representation of Various Linguistic Units in Neural Network Based Text-to-Speech Synthesis. IEICE Trans. Inf. Syst. 99-D(10): 2471-2480 (2016) - Jie Dong, Zhi-Jiang Yao, Ming Wen, Min-Feng Zhu, Ning-Ning Wang, Hongyu Miao, Aiping Lu, Wen-Bin Zeng, Dong-Sheng Cao:
BioTriangle: a web-accessible platform for generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactions. J. Cheminformatics 8(1): 34:1-34:13 (2016) - Sanghyuk Park, Fei Pan, Sunghun Kang, Chang Dong Yoo:
Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks. ACCV Workshops (3) 2016: 154-164 - 2015
- Nan Xiao, Dong-Sheng Cao, Min-Feng Zhu, Qing-Song Xu:
protr/ProtrWeb: R package and web server for generating various numerical representation schemes of protein sequences. Bioinform. 31(11): 1857-1859 (2015) - Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll, Christoph Hennersperger, Federico Tombari, Amit Shah, Annika Plate, Kai Boetzel, Nassir Navab:
Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations. MICCAI (2) 2015: 111-118 - Shin'ichi Osada, Takashi Imamura, Takanori Miyoshi:
Study on the representation of fingertip slip using various vibrations and surface textures. SII 2015: 283-288 - Maria Chroni, Stavros D. Nikolopoulos:
Watermarking PDF Documents using Various Representations of Self-inverting Permutations. WEBIST 2015: 73-80 - Maria Chroni, Stavros D. Nikolopoulos:
Watermarking PDF Documents using Various Representations of Self-inverting Permutations. CoRR abs/1501.02686 (2015) - 2013
- Ivo Lasek, Peter Vojtás:
Various approaches to text representation for named entity disambiguation. Int. J. Web Inf. Syst. 9(3): 242-259 (2013)
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