• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 73,501 matches

• 2024
• 
  Christopher M. Bishop, Hugh Bishop:
  Deep Learning - Foundations and Concepts. Springer 2024, ISBN 978-3-031-45467-7, pp. 1-607
• 
  Asma Channa, Nirvana Popescu:
  Deep Learning in Smart eHealth Systems - Evaluation Leveraging for Parkinson's Disease. Springer Briefs in Computer Science, Springer 2024, ISBN 978-3-031-45002-0, pp. 1-94
• 
  Muna Al-Hawawreh, Nour Moustafa:
  Explainable deep learning for attack intelligence and combating cyber-physical attacks. Ad Hoc Networks 153: 103329 (2024)
• 
  Anas Knari, Mostapha Derfouf, Mohammed-Amine Koulali, Ahmed Khoumsi:
  Multi-Agent Deep Reinforcement Learning for content caching within the Internet of Vehicles. Ad Hoc Networks 152: 103305 (2024)
• 
  Honghai Wu, Baibing Wang, Huahong Ma, Ling Xing:
  Collaborative caching relay algorithm based on recursive deep reinforcement learning in mobile vehicle edge network. Ad Hoc Networks 152: 103313 (2024)
• 
  Alaa Hussein Abdulaal, Morteza Valizadeh, Mehdi Chehel Amirani, A. F. M. Shahen Shah:
  A self-learning deep neural network for classification of breast histopathological images. Biomed. Signal Process. Control. 87(Part B): 105418 (2024)
• 
  Wasyihun Sema Admass, Girmaw Andualem Bogale:
  Arrhythmia classification using ECG signal: A meta-heuristic improvement of optimal weighted feature integration and attention-based hybrid deep learning model. Biomed. Signal Process. Control. 87(Part B): 105565 (2024)
• 
  Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha:
  IRNetv: A deep learning framework for automated brain tumor diagnosis. Biomed. Signal Process. Control. 87(Part B): 105459 (2024)
• 
  M. Geetha, V. Srinadh, J. Janet, S. Sumathi:
  Hybrid Archimedes Sine Cosine optimization enabled Deep Learning for multilevel brain tumor classification using MRI images. Biomed. Signal Process. Control. 87(Part B): 105419 (2024)
• 
  Benjamín Gutiérrez-Serafín, Javier Andreu-Perez, Humberto Pérez Espinosa, Silke Paulmann, Weiping Ding:
  Toward assessment of human voice biomarkers of brain lesions through explainable deep learning. Biomed. Signal Process. Control. 87(Part B): 105457 (2024)
• 
  Jorge Jiménez-García, María García, Gonzalo C. Gutiérrez-Tobal, Leila Kheirandish-Gozal, Fernando Vaquerizo-Villar, Daniel Álvarez, Félix del Campo, David Gozal, Roberto Hornero:
  An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals. Biomed. Signal Process. Control. 87(Part B): 105490 (2024)
• 
  Oguzhan Karaarslan, Kristen Dominica Belcastro, Onur Ergen:
  Respiratory sound-base disease classification and characterization with deep/machine learning techniques. Biomed. Signal Process. Control. 87(Part A): 105570 (2024)
• 
  Pammi Kumari, Priyank Saxena:
  Cataract detection and visualization based on multi-scale deep features by RINet tuned with cyclic learning rate hyperparameter. Biomed. Signal Process. Control. 87(Part B): 105452 (2024)
• 
  Marc Junior Nkengue, Xianyi Zeng, Ludovic Koehl, Xuyuan Tao:
  X-RCRNet: An explainable deep-learning network for COVID-19 detection using ECG beat signals. Biomed. Signal Process. Control. 87(Part A): 105424 (2024)
• 
  Diogo Pessoa, Bruno Miguel Machado Rocha, Maria Gomes, Guilherme Rodrigues, Georgios Petmezas, Grigorios-Aris Cheimariotis, Nicos Maglaveras, Alda Marques, Inéz Frerichs, Paulo de Carvalho, Rui Pedro Paiva:
  Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound. Biomed. Signal Process. Control. 87(Part A): 105451 (2024)
• 
  Telagarapu Prabhakar, Madhusudhana Rao T. V., Balajee Maram, Dhanunjaya Rao Chigurukota:
  Exponential gannet firefly optimization algorithm enabled deep learning for diabetic retinopathy detection. Biomed. Signal Process. Control. 87(Part A): 105376 (2024)
• 
  T. Prasath, V. Sumathi:
  Pipelined deep learning architecture for the detection of Alzheimer's disease. Biomed. Signal Process. Control. 87(Part A): 105442 (2024)
• 
  Nur Achmad Sulistyo Putro, Cries Avian, Setya Widyawan Prakosa, Muhammad Izzuddin Mahali, Jenq-Shiou Leu:
  Estimating finger joint angles by surface EMG signal using feature extraction and transformer-based deep learning model. Biomed. Signal Process. Control. 87(Part B): 105447 (2024)
• 
  Leren Qian, Jiexin Bai, Yiqian Huang, Diyar Qader Zeebaree, Abbas Saffari, Dilovan Asaad Zebari:
  Breast cancer diagnosis using evolving deep convolutional neural network based on hybrid extreme learning machine technique and improved chimp optimization algorithm. Biomed. Signal Process. Control. 87(Part A): 105492 (2024)
• 
  Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher:
  An efficient deep learning scheme to detect breast cancer using mammogram and ultrasound breast images. Biomed. Signal Process. Control. 87(Part A): 105377 (2024)
• 
  Aktham Sawan, Mohammed Awad, Radwan Qasrawi, Mohammad Sowan:
  Hybrid deep learning and metaheuristic model based stroke diagnosis system using electroencephalogram (EEG). Biomed. Signal Process. Control. 87(Part A): 105454 (2024)
• 
  Junke Wu, Guoliang Wei, Yi Fan, Liang Yu, Bo Chen:
  B-ultrasound guided venipuncture vascular recognition system based on deep learning. Biomed. Signal Process. Control. 87(Part B): 105495 (2024)
• 
  Chengmin Zhou, Liyilei Su, Tiegong Wang, Jinxing Gao, Jing Li, Jun Liu, Zongzhou Ye, Xiaoming Zhai, Weiguo Xie, Chengwei Shao, Bingding Huang:
  Deep learning to predict respiratory lung-tissue displacement from multi-phase pulmonary computed tomography images. Biomed. Signal Process. Control. 87(Part B): 105505 (2024)
• 
  Gerico Vidanes, David Toal, Xu Zhang, Andy J. Keane, Jon Gregory, Marco Nunez:
  Extending Point-Based Deep Learning Approaches for Better Semantic Segmentation in CAD. Comput. Aided Des. 166: 103629 (2024)
• 
  Zheng Zhan, Wenping Wang, Falai Chen:
  Simultaneous Boundary and Interior Parameterization of Planar Domains Via Deep Learning. Comput. Aided Des. 166: 103621 (2024)
• 
  Innyoung Kim, Sejin Kim, Donghyun You:
  Non-iterative generation of an optimal mesh for a blade passage using deep reinforcement learning. Comput. Phys. Commun. 294: 108962 (2024)
• 
  Fatemeh Deldar, Mahdi Abadi:
  Deep Learning for Zero-day Malware Detection and Classification: A Survey. ACM Comput. Surv. 56(2): 36:1-36:37 (2024)
• 
  Zhe Fu, Xi Niu, Mary Lou Maher:
  Deep Learning Models for Serendipity Recommendations: A Survey and New Perspectives. ACM Comput. Surv. 56(1): 19:1-19:26 (2024)
• 
  Taraneh Ghandi, Hamidreza Pourreza, Hamidreza Mahyar:
  Deep Learning Approaches on Image Captioning: A Review. ACM Comput. Surv. 56(3): 62:1-62:39 (2024)
• 
  Shulei Ji, Xinyu Yang, Jing Luo:
  A Survey on Deep Learning for Symbolic Music Generation: Representations, Algorithms, Evaluations, and Challenges. ACM Comput. Surv. 56(1): 7:1-7:39 (2024)

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