Artículos de revistas sobre el tema "Multimodal Transformers"
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Jaiswal, Sushma, Harikumar Pallthadka, Rajesh P. Chinchewadi y Tarun Jaiswal. "Optimized Image Captioning: Hybrid Transformers Vision Transformers and Convolutional Neural Networks: Enhanced with Beam Search". International Journal of Intelligent Systems and Applications 16, n.º 2 (8 de abril de 2024): 53–61. http://dx.doi.org/10.5815/ijisa.2024.02.05.
Texto completoBayat, Nasrin, Jong-Hwan Kim, Renoa Choudhury, Ibrahim F. Kadhim, Zubaidah Al-Mashhadani, Mark Aldritz Dela Virgen, Reuben Latorre, Ricardo De La Paz y Joon-Hyuk Park. "Vision Transformer Customized for Environment Detection and Collision Prediction to Assist the Visually Impaired". Journal of Imaging 9, n.º 8 (15 de agosto de 2023): 161. http://dx.doi.org/10.3390/jimaging9080161.
Texto completoHendricks, Lisa Anne, John Mellor, Rosalia Schneider, Jean-Baptiste Alayrac y Aida Nematzadeh. "Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers". Transactions of the Association for Computational Linguistics 9 (2021): 570–85. http://dx.doi.org/10.1162/tacl_a_00385.
Texto completoShao, Zilei. "A literature review on multimodal deep learning models for detecting mental disorders in conversational data: Pre-transformer and transformer-based approaches". Applied and Computational Engineering 18, n.º 1 (23 de octubre de 2023): 215–24. http://dx.doi.org/10.54254/2755-2721/18/20230993.
Texto completoWang, LeiChen, Simon Giebenhain, Carsten Anklam y Bastian Goldluecke. "Radar Ghost Target Detection via Multimodal Transformers". IEEE Robotics and Automation Letters 6, n.º 4 (octubre de 2021): 7758–65. http://dx.doi.org/10.1109/lra.2021.3100176.
Texto completoSalin, Emmanuelle, Badreddine Farah, Stéphane Ayache y Benoit Favre. "Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 10 (28 de junio de 2022): 11248–57. http://dx.doi.org/10.1609/aaai.v36i10.21375.
Texto completoSun, Qixuan, Nianhua Fang, Zhuo Liu, Liang Zhao, Youpeng Wen y Hongxiang Lin. "HybridCTrm: Bridging CNN and Transformer for Multimodal Brain Image Segmentation". Journal of Healthcare Engineering 2021 (1 de octubre de 2021): 1–10. http://dx.doi.org/10.1155/2021/7467261.
Texto completoYu Tian, Qiyang Zhao, Zine el abidine Kherroubi, Fouzi Boukhalfa, Kebin Wu y Faouzi Bader. "Multimodal transformers for wireless communications: A case study in beam prediction". ITU Journal on Future and Evolving Technologies 4, n.º 3 (5 de septiembre de 2023): 461–71. http://dx.doi.org/10.52953/jwra8095.
Texto completoChen, Yu, Ming Yin, Yu Li y Qian Cai. "CSU-Net: A CNN-Transformer Parallel Network for Multimodal Brain Tumour Segmentation". Electronics 11, n.º 14 (16 de julio de 2022): 2226. http://dx.doi.org/10.3390/electronics11142226.
Texto completoWang, Zhaokai, Renda Bao, Qi Wu y Si Liu. "Confidence-aware Non-repetitive Multimodal Transformers for TextCaps". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 4 (18 de mayo de 2021): 2835–43. http://dx.doi.org/10.1609/aaai.v35i4.16389.
Texto completoXu, Yifan, Huapeng Wei, Minxuan Lin, Yingying Deng, Kekai Sheng, Mengdan Zhang, Fan Tang, Weiming Dong, Feiyue Huang y Changsheng Xu. "Transformers in computational visual media: A survey". Computational Visual Media 8, n.º 1 (27 de octubre de 2021): 33–62. http://dx.doi.org/10.1007/s41095-021-0247-3.
Texto completoAbdine, Hadi, Michail Chatzianastasis, Costas Bouyioukos y Michalis Vazirgiannis. "Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 10 (24 de marzo de 2024): 10757–65. http://dx.doi.org/10.1609/aaai.v38i10.28948.
Texto completoSams, Andrew Steven y Amalia Zahra. "Multimodal music emotion recognition in Indonesian songs based on CNN-LSTM, XLNet transformers". Bulletin of Electrical Engineering and Informatics 12, n.º 1 (1 de febrero de 2023): 355–64. http://dx.doi.org/10.11591/eei.v12i1.4231.
Texto completoNayak, Roshan, B. S. Ullas Kannantha, Kruthi S y C. Gururaj. "Multimodal Offensive Meme Classification u sing Transformers and BiLSTM". International Journal of Engineering and Advanced Technology 11, n.º 3 (28 de febrero de 2022): 96–102. http://dx.doi.org/10.35940/ijeat.c3392.0211322.
Texto completoNadal, Clement y Francois Pigache. "Multimodal electromechanical model of piezoelectric transformers by Hamilton's principle". IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 56, n.º 11 (noviembre de 2009): 2530–43. http://dx.doi.org/10.1109/tuffc.2009.1340.
Texto completoPezzelle, Sandro, Ece Takmaz y Raquel Fernández. "Word Representation Learning in Multimodal Pre-Trained Transformers: An Intrinsic Evaluation". Transactions of the Association for Computational Linguistics 9 (2021): 1563–79. http://dx.doi.org/10.1162/tacl_a_00443.
Texto completoLiang, Yi, Turdi Tohti y Askar Hamdulla. "False Information Detection via Multimodal Feature Fusion and Multi-Classifier Hybrid Prediction". Algorithms 15, n.º 4 (29 de marzo de 2022): 119. http://dx.doi.org/10.3390/a15040119.
Texto completoZhang, Tianze. "Investigation on task effect analysis and optimization strategy of multimodal large model based on Transformers architecture for various languages". Applied and Computational Engineering 47, n.º 1 (15 de marzo de 2024): 213–24. http://dx.doi.org/10.54254/2755-2721/47/20241374.
Texto completoNia, Zahra Movahedi, Ali Ahmadi, Bruce Mellado, Jianhong Wu, James Orbinski, Ali Asgary y Jude D. Kong. "Twitter-based gender recognition using transformers". Mathematical Biosciences and Engineering 20, n.º 9 (2023): 15957–77. http://dx.doi.org/10.3934/mbe.2023711.
Texto completoPark, Junhee y Nammee Moon. "Design and Implementation of Attention Depression Detection Model Based on Multimodal Analysis". Sustainability 14, n.º 6 (18 de marzo de 2022): 3569. http://dx.doi.org/10.3390/su14063569.
Texto completoXiang, Yunfan, Xiangyu Tian, Yue Xu, Xiaokun Guan y Zhengchao Chen. "EGMT-CD: Edge-Guided Multimodal Transformers Change Detection from Satellite and Aerial Images". Remote Sensing 16, n.º 1 (25 de diciembre de 2023): 86. http://dx.doi.org/10.3390/rs16010086.
Texto completoAmmour, Nassim, Yakoub Bazi y Naif Alajlan. "Multimodal Approach for Enhancing Biometric Authentication". Journal of Imaging 9, n.º 9 (22 de agosto de 2023): 168. http://dx.doi.org/10.3390/jimaging9090168.
Texto completoSegura-Bedmar, Isabel y Santiago Alonso-Bartolome. "Multimodal Fake News Detection". Information 13, n.º 6 (2 de junio de 2022): 284. http://dx.doi.org/10.3390/info13060284.
Texto completoMingyu, Ji, Zhou Jiawei y Wei Ning. "AFR-BERT: Attention-based mechanism feature relevance fusion multimodal sentiment analysis model". PLOS ONE 17, n.º 9 (9 de septiembre de 2022): e0273936. http://dx.doi.org/10.1371/journal.pone.0273936.
Texto completoArgade, Dakshata, Vaishali Khairnar, Deepali Vora, Shruti Patil, Ketan Kotecha y Sultan Alfarhood. "Multimodal Abstractive Summarization using bidirectional encoder representations from transformers with attention mechanism". Heliyon 10, n.º 4 (febrero de 2024): e26162. http://dx.doi.org/10.1016/j.heliyon.2024.e26162.
Texto completoGupta, Arpit, Himanshu Goyal y Ishita Kohli. "Synthesis of Vision and Language: Multifaceted Image Captioning Application". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, n.º 12 (23 de diciembre de 2023): 1–10. http://dx.doi.org/10.55041/ijsrem27770.
Texto completoZhong, Enmin, Carlos R. del-Blanco, Daniel Berjón, Fernando Jaureguizar y Narciso García. "Real-Time Monocular Skeleton-Based Hand Gesture Recognition Using 3D-Jointsformer". Sensors 23, n.º 16 (10 de agosto de 2023): 7066. http://dx.doi.org/10.3390/s23167066.
Texto completoNikzad-Khasmakhi, N., M. A. Balafar, M. Reza Feizi-Derakhshi y Cina Motamed. "BERTERS: Multimodal representation learning for expert recommendation system with transformers and graph embeddings". Chaos, Solitons & Fractals 151 (octubre de 2021): 111260. http://dx.doi.org/10.1016/j.chaos.2021.111260.
Texto completoHazmoune, Samira y Fateh Bougamouza. "Using transformers for multimodal emotion recognition: Taxonomies and state of the art review". Engineering Applications of Artificial Intelligence 133 (julio de 2024): 108339. http://dx.doi.org/10.1016/j.engappai.2024.108339.
Texto completoPerifanos, Konstantinos y Dionysis Goutsos. "Multimodal Hate Speech Detection in Greek Social Media". Multimodal Technologies and Interaction 5, n.º 7 (29 de junio de 2021): 34. http://dx.doi.org/10.3390/mti5070034.
Texto completoLi, Ning, Jie Chen, Nanxin Fu, Wenzhuo Xiao, Tianrun Ye, Chunming Gao y Ping Zhang. "Leveraging Dual Variational Autoencoders and Generative Adversarial Networks for Enhanced Multimodal Interaction in Zero-Shot Learning". Electronics 13, n.º 3 (29 de enero de 2024): 539. http://dx.doi.org/10.3390/electronics13030539.
Texto completoMeng, Yiwen, William Speier, Michael K. Ong y Corey W. Arnold. "Bidirectional Representation Learning From Transformers Using Multimodal Electronic Health Record Data to Predict Depression". IEEE Journal of Biomedical and Health Informatics 25, n.º 8 (agosto de 2021): 3121–29. http://dx.doi.org/10.1109/jbhi.2021.3063721.
Texto completoZhang, Mengna, Qisong Huang y Hua Liu. "A Multimodal Data Analysis Approach to Social Media during Natural Disasters". Sustainability 14, n.º 9 (5 de mayo de 2022): 5536. http://dx.doi.org/10.3390/su14095536.
Texto completoMacfadyen, Craig, Ajay Duraiswamy y David Harris-Birtill. "Classification of hyper-scale multimodal imaging datasets". PLOS Digital Health 2, n.º 12 (13 de diciembre de 2023): e0000191. http://dx.doi.org/10.1371/journal.pdig.0000191.
Texto completoSvyatov, Kirill V., Daniil P. Kanin y Sergey V. Sukhov. "THE CONTROL SYSTEM FOR UNMANNED VEHICLES BASED ON MULTIMODAL DATA AND IDENTIFIED FEATURE HIERARCHY". Автоматизация процессов управления 1, n.º 67 (2022): 52–59. http://dx.doi.org/10.35752/1991-2927-2022-1-67-52-59.
Texto completoWatson, Eleanor, Thiago Viana y Shujun Zhang. "Augmented Behavioral Annotation Tools, with Application to Multimodal Datasets and Models: A Systematic Review". AI 4, n.º 1 (28 de enero de 2023): 128–71. http://dx.doi.org/10.3390/ai4010007.
Texto completoZhang, Ke, Shunmin Wang y Yuyuan Yu. "A TBGAV-Based Image-Text Multimodal Sentiment Analysis Method for Tourism Reviews". International Journal of Information Technology and Web Engineering 18, n.º 1 (7 de diciembre de 2023): 1–17. http://dx.doi.org/10.4018/ijitwe.334595.
Texto completoLuna-Jiménez, Cristina, Ricardo Kleinlein, David Griol, Zoraida Callejas, Juan M. Montero y Fernando Fernández-Martínez. "A Proposal for Multimodal Emotion Recognition Using Aural Transformers and Action Units on RAVDESS Dataset". Applied Sciences 12, n.º 1 (30 de diciembre de 2021): 327. http://dx.doi.org/10.3390/app12010327.
Texto completoSingh, Aman, Ankit Gautam, Deepanshu, Gautam Kumar, Lokesh Kumar Meena y Shashank Saroop. "Automated Minutes of Meeting Using a Multimodal Approach". International Journal for Research in Applied Science and Engineering Technology 11, n.º 12 (31 de diciembre de 2023): 2059–63. http://dx.doi.org/10.22214/ijraset.2023.57787.
Texto completoWang, Zhecan, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang y Shih-Fu Chang. "SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 5 (28 de junio de 2022): 5914–22. http://dx.doi.org/10.1609/aaai.v36i5.20536.
Texto completoLi, Weisheng, Yin Zhang, Guofen Wang, Yuping Huang y Ruyue Li. "DFENet: A dual-branch feature enhanced network integrating transformers and convolutional feature learning for multimodal medical image fusion". Biomedical Signal Processing and Control 80 (febrero de 2023): 104402. http://dx.doi.org/10.1016/j.bspc.2022.104402.
Texto completoLiu, Mingfei, Bin Zhou, Jie Li, Xinyu Li y Jinsong Bao. "A Knowledge Graph-Based Approach for Assembly Sequence Recommendations for Wind Turbines". Machines 11, n.º 10 (27 de septiembre de 2023): 930. http://dx.doi.org/10.3390/machines11100930.
Texto completoKalra, Sakshi, Chitneedi Hemanth Sai Kumar, Yashvardhan Sharma y Gajendra Singh Chauhan. "FakeExpose: Uncovering the falsity of news by targeting the multimodality via transfer learning". Journal of Information and Optimization Sciences 44, n.º 3 (2023): 301–14. http://dx.doi.org/10.47974/jios-1342.
Texto completoColeman, Matthew, Joanna F. Dipnall, Myong Jung y Lan Du. "PreRadE: Pretraining Tasks on Radiology Images and Reports Evaluation Framework". Mathematics 10, n.º 24 (8 de diciembre de 2022): 4661. http://dx.doi.org/10.3390/math10244661.
Texto completoSriram, K., S. P. Mangaiyarkarasi, S. Sakthivel y L. Jebaraj. "An Extensive Study Using the Beetle Swarm Method to Optimize Single and Multiple Objectives of Various Optimal Power Flow Problems". International Transactions on Electrical Energy Systems 2023 (30 de marzo de 2023): 1–33. http://dx.doi.org/10.1155/2023/5779700.
Texto completoBoehm, Kevin M., Antonio Marra, Jorge S. Reis-Filho, Sarat Chandarlapaty, Fresia Pareja y Sohrab P. Shah. "Abstract 890: Multimodal modeling of digitized histopathology slides improves risk stratification in hormone receptor-positive breast cancer patients". Cancer Research 84, n.º 6_Supplement (22 de marzo de 2024): 890. http://dx.doi.org/10.1158/1538-7445.am2024-890.
Texto completoAlam, Mohammad Arif Ul. "College Student Retention Risk Analysis from Educational Database Using Multi-Task Multi-Modal Neural Fusion". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 11 (28 de junio de 2022): 12689–97. http://dx.doi.org/10.1609/aaai.v36i11.21545.
Texto completoWu, Di, Lihua Cao, Pengji Zhou, Ning Li, Yi Li y Dejun Wang. "Infrared Small-Target Detection Based on Radiation Characteristics with a Multimodal Feature Fusion Network". Remote Sensing 14, n.º 15 (25 de julio de 2022): 3570. http://dx.doi.org/10.3390/rs14153570.
Texto completode Hond, Anne, Marieke van Buchem, Claudio Fanconi, Mohana Roy, Douglas Blayney, Ilse Kant, Ewout Steyerberg y Tina Hernandez-Boussard. "Predicting Depression Risk in Patients With Cancer Using Multimodal Data: Algorithm Development Study". JMIR Medical Informatics 12 (18 de enero de 2024): e51925. http://dx.doi.org/10.2196/51925.
Texto completoNooralahzadeh, Farhad y Rico Sennrich. "Improving the Cross-Lingual Generalisation in Visual Question Answering". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 11 (26 de junio de 2023): 13419–27. http://dx.doi.org/10.1609/aaai.v37i11.26574.
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