LSTM: A Search Space Odyssey
Greff, Klaus, Srivastava, Rupesh K., Koutnik, Jan, Steunebrink, Bas R., Schmidhuber, Jurgen·2017·IEEE Transactions on Neural Networks and Learning Systems
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Items 101–200 of 1,013
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- Learning Regularity in Skeleton Trajectories for Anomaly Detection in VideosRomero F.A.B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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- Time Series Prediction Based on LSTM-Attention-LSTM ModelXianyun Wen, Weibang Li · 2023 · IEEE Access
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- Towards Universal Paraphrastic Sentence EmbeddingsJohn Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu · 2015 · arXiv (Cornell University)
- Machine learning in natural and engineered water systemsRuixing Huang, Chengxue Ma, Jun Ma, Xiaoliu Huangfu, Qiang He · 2021 · Water Research
- Bidirectional LSTM with self-attention mechanism and multi-channel features for sentiment classificationWeijiang Li, Fang Qi, Ming Tang, Zhengtao Yu · 2020 · Neurocomputing
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- Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series SignalsYuxin Zhang, Yiqiang Chen, Jindong Wang, Zhiwen Pan · 2021 · IEEE Transactions on Knowledge and Data Engineering
- Predicting COVID-19 in China Using Hybrid AI ModelNanning Zheng, Shaoyi Du, Jianji Wang, He Zhang, Wenting Cui, Zijian Kang, Tao Yang, Bin Lou, Yuting Chi, Hong Long et al. · 2020 · IEEE Transactions on Cybernetics
- Predicting stock market index using LSTMHum Nath Bhandari, Binod Rimal, Nawa Raj Pokhrel, Ramchandra Rimal, Keshab Raj Dahal, Rajendra K C Khatri · 2022 · Machine Learning with Applications
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- Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A ReviewSibo Lucas Cheng, César Quilodrán-Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard et al. · 2023 · IEEE/CAA Journal of Automatica Sinica
- Deep learning for time series forecasting: The electric load caseAlberto Gasparin, Slobodan Luković, Cesare Alippi · 2021 · CAAI Transactions on Intelligence Technology
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- Mixed Neural Network Approach for Temporal Sleep Stage ClassificationHao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul McMahan Matthews, Yike Guo · 2017 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Deep Learning Techniques for Speech Emotion Recognition, from Databases to ModelsBabak Abbaschian, Daniel Sierra-Sosa, Adel Said Elmaghraby · 2021 · Sensors
- Deep learning analysis of mobile physiological, environmental and location sensor data for emotion detectionKanjo, Eiman, Younis, Eman M.G., Ang, Chee Siang · 2019 · Information Fusion
- Deep learning: RNNs and LSTMDiPietro, Robert, Hager, Gregory D. · 2020 · Handbook of Medical Image Computing and Computer Assisted Intervention
- Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecastingAri Yair Barrera-Animas, Lukumon O. Oyedele, Muhammad Bilal, Taofeek Dolapo Akinosho, Juan Manuel Dávila Delgado, Lukman Akanbi · 2021 · Machine Learning with Applications
- Deep Evidential RegressionAlexander Amini, Wilko Schwarting, Ava P. Soleimany, Daniela L. Rus · 2019 · arXiv (Cornell University)
- Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMsMiguel Ballesteros, Chris Dyer, Noah A. Smith · 2015 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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- Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural NetworksDino Ienco, Raffaele Gaetano, Claire Dupaquier, Pierre Maurel · 2017 · IEEE Geoscience and Remote Sensing Letters
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- Speech Emotion Classification Using Attention-Based LSTMYue Xie, Ruiyu Liang, Zhenlin Liang, Chengwei Huang, Cairong Zou, Björn Wolfgang Schuller · 2019 · IEEE/ACM Transactions on Audio Speech and Language Processing
- Recurrent Neural Networks for Short-Term Load ForecastingFilippo Maria Bianchi, Enrico Maiorino, Michael Kampffmeyer, Antonello Rizzi, Robert Jenssen · 2017 · SpringerBriefs in computer science
- Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer CorpusSerban, Iulian Vlad, García-Durán, Alberto, Gulcehre, Caglar, Ahn, Sungjin, Chandar, Sarath, Courville, Aaron, Bengio, Yoshua · 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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- Towards 3D human pose construction using wifiWenjun Jiang, Hongfei Xue, Chenglin Miao, Shiyang Wang, Sen Lin, Chong Tian, Srinivasan Murali, Haochen Hu, Zhi Yuan Sun, Lü Su · 2020 · ACM Annual International Conference on Mobile Computing and Networking (MobiCom)
- The rise of traffic classification in IoT networks: A surveyHamid Tahaei, Firdaus Afifi, Adeleh Asemi, Faiz Zaki, Nor Badrul Anuar · 2020 · Journal of Network and Computer Applications
- An Analysis of Encoder Representations in Transformer-Based Machine TranslationRaganato, Alessandro, Tiedemann, Jörg · 2018 · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
- Improving air quality prediction accuracy at larger temporal resolutions using deep learning and transfer learning techniquesJun Ma, Jack C.P. Cheng, Changqing Lin, Yi Tan, Jingcheng Zhang · 2019 · Atmospheric Environment
- Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and FutureDavid Ahmedt‐Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson · 2021 · Sensors
- Grid Long Short-Term MemoryNal Kalchbrenner, Ivo Danihelka, Alex Graves · 2015 · arXiv (Cornell University)
- Fake News Detection using Bi-directional LSTM-Recurrent Neural NetworkPritika Bahad, Preeti Saxena, Raj Kamal · 2019 · Procedia Computer Science
- diffGrad: An Optimization Method for Convolutional Neural NetworksShiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy, Snehasis Mukherjee, Satish Kumar Singh, B.B. Chaudhuri · 2019 · IEEE Transactions on Neural Networks and Learning Systems
- A Novel Hybrid Short-Term Load Forecasting Method of Smart Grid Using MLR and LSTM Neural NetworkJian Li, Daiyu Deng, Junbo Zhao, Dongsheng Cai, Weihao Hu, Man Zhang, Qi ping Huang · 2020 · IEEE Transactions on Industrial Informatics
- Machine learning for hydrologic sciences: An introductory overviewTianfang Xu, Feng Liang · 2021 · Wiley Interdisciplinary Reviews Water
- Improving One-Stage Visual Grounding by Recursive Sub-query ConstructionZhengyuan Yang, Tianlang Chen, Liwei Wang, Jiebo Luo · 2020 · Lecture notes in computer science
- AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity RecognitionMa, HaoJie, Li, Wenzhong, Zhang, Xiao, Gao, Songcheng, Lu, Sanglu · 2019 · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
- Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signalsRamy Hussein, Hamid Palangi, Rabab Kreidieh Ward, Z. Jane Wang · 2018 · Clinical Neurophysiology
- Deep Learning-Based Weather Prediction: A SurveyXiaoli Ren, Xiaoyong Li, Kaijun Ren, Junqiang Song, Zichen Xu, Kefeng Deng, Xiang Wang · 2020 · Big Data Research
- Deep learning and transfer learning models of energy consumption forecasting for a building with poor information dataYuan Gao, Yingjun Ruan, Chengkuan Fang, Shuai Yin · 2020 · Energy and Buildings
- Personalized Vehicle Trajectory Prediction Based on Joint Time-Series Modeling for Connected VehiclesYang Xing, Chen Lv, Dongpu Cao · 2019 · IEEE Transactions on Vehicular Technology
- Remaining useful life and state of health prediction for lithium batteries based on empirical mode decomposition and a long and short memory neural networkGong Cheng, Xinzhi Wang, Yurong He · 2021 · Energy
- A car-following model considering asymmetric driving behavior based on long short-term memory neural networksXiuling Huang, Jie Sun, Jian Sun · 2018 · Transportation Research Part C Emerging Technologies
- Internet of Things attack detection using hybrid Deep Learning ModelAmiya Kumar Sahu, Suraj Kumar Sharma, M. Tanveer, Rohit Raja · 2021 · Computer Communications
- Bidirectional handshaking LSTM for remaining useful life predictionAhmed Elsheikh, Soumaya Yacout, Mohamed-Salah Ouali · 2018 · Neurocomputing
- Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life predictionTianfu Li, Zhibin Zhao, Chuang Sun, Ruqiang Yan, Xuefeng Chen · 2021 · Reliability Engineering & System Safety
- Survey on Deep Neural Networks in Speech and Vision SystemsMahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, Alexander Glandon, Khan M. Iftekharuddin · 2020 · Neurocomputing
- COVID-19 Epidemic Analysis using Machine Learning and Deep Learning AlgorithmsNarinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal · 2020 · medRxiv
- Data-driven modeling for unsteady aerodynamics and aeroelasticityJiaqing Kou, Weiwei Zhang · 2021 · Progress in Aerospace Sciences
- A generalized deep learning framework for whole-slide image segmentation and analysisMahendra Khened, Avinash Kori, Haran Rajkumar, Ganapathy Krishnamurthi, Balaji Srinivasan · 2021 · Scientific Reports
- Interpretation of ensemble learning to predict water quality using explainable artificial intelligencePark, Jungsu, Lee, Woo Hyoung, Kim, Keug Tae, Park, Cheol Young, Lee, Sanghun, Heo, Tae-Young · 2022 · Science of The Total Environment
- An analysis of hierarchical text classification using word embeddingsRoger Alan Stein, Patrícia A. Jaques, João Francisco Valiati · 2018 · Information Sciences
- Recurrent Highway NetworksJulian Zilly, Srivastava, Rupesh, Jan Koutník, Jürgen Schmidhuber · 2016 · arXiv (Cornell University)
- A survey on automatic image caption generationShuang Bai, Shan An · 2018 · Neurocomputing
- Machine Learning for Wireless Sensor Networks Security: An Overview of Challenges and IssuesRami Ahmad, Raniyah Wazirali, Tarik Abu-Ain · 2022 · Sensors
- Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data AnalysisDat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, Moncef Gabbouj · 2018 · IEEE Transactions on Neural Networks and Learning Systems
- BaGFN: Broad Attentive Graph Fusion Network for High-Order Feature InteractionsZhifeng Xie, Wenling Zhang, Bin Sheng, Ping Li, C. L. Philip Chen · 2021 · IEEE Transactions on Neural Networks and Learning Systems
- Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual RecognitionLin Yuanbo Wu, Yang Wang, Xue Li, Junbin Gao · 2018 · IEEE Transactions on Cybernetics
- A Deep Learning Model for Network Intrusion Detection with Imbalanced DataYanfang Fu, Yishuai Du, Zijian Cao, Qiang Li, Wei Xiang · 2022 · Electronics
- HiPPO: Recurrent Memory with Optimal Polynomial ProjectionsAlbert Gu, Tri Dao, Stefano Ermon, Atri Rudra, Christopher Ré · 2020 · arXiv (Cornell University)
- A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load ForecastingGrzegorz Dudek, Paweł Pełka, Slawek Smyl · 2021 · IEEE Transactions on Neural Networks and Learning Systems
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- Crop yield prediction integrating genotype and weather variables using deep learningShook, Johnathon, Gangopadhyay, Tryambak, Wu, Linjiang, Ganapathysubramanian, Baskar, Sarkar, Soumik, Singh, Asheesh K. · 2021 · PLOS ONE
- Intelligent Resource Scheduling for 5G Radio Access Network SlicingMu Yan, Gang Feng, Jianhong Zhou, Yao Sun, Ying‐Chang Liang · 2019 · IEEE Transactions on Vehicular Technology
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- A Hybrid LSTM Neural Network for Energy Consumption Forecasting of Individual HouseholdsKe Yan, Wei Li, Zhiwei Ji, Meng Qi, Yang Du · 2019 · IEEE Access
- Neural GPUs Learn AlgorithmsŁukasz Kaiser, Ilya Sutskever · 2015 · arXiv (Cornell University)
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- Lipreading with long short-term memoryMichael Wand, Jan Koutník, Jürgen Schmidhuber · 2016 · IEEE International Conference on Acoustics Speech and Signal Processing
- A novel MP-LSTM method for ship trajectory prediction based on AIS dataDawei Gao, Yongsheng Zhu, Jinfen Zhang, Yan-kang He, Keyu Yan, B. Yan · 2021 · Ocean Engineering
- Deep Neural Networks With Koopman Operators for Modeling and Control of Autonomous VehiclesYongqian Xiao, Xinglong Zhang, Xin Xu, Xueqing Liu, Jiahang Liu · 2022 · IEEE Transactions on Intelligent Vehicles