• 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 396,745 matches

• 2024
• 
  Fatemeh Mahdavi Golmisheh, Saeed Shamaghdari:
  Heterogeneous optimal formation control of nonlinear multi-agent systems with unknown dynamics by safe reinforcement learning. Appl. Math. Comput. 460: 128302 (2024)
• 
  Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
  Multi-task learning neural framework for categorizing sexism. Comput. Speech Lang. 83: 101535 (2024)
• 
  Marieke Einfeldt, Rita Sevastjanova, Katharina Zahner-Ritter, Ekaterina Kazak, Bettina Braun:
  The use of Active Learning systems for stimulus selection and response modelling in perception experiments. Comput. Speech Lang. 83: 101537 (2024)
• 
  Yujia Chen, Raffaella Calabrese, Belen Martin-Barragan:
  Interpretable machine learning for imbalanced credit scoring datasets. Eur. J. Oper. Res. 312(1): 357-372 (2024)
• 
  Mingzhen Li, Changxi Liu, Jianjin Liao, Xuegui Zheng, Hailong Yang, Rujun Sun, Jun Xu, Lin Gan, Guangwen Yang, Zhongzhi Luan, Depei Qian:
  Towards optimized tensor code generation for deep learning on sunway many-core processor. Frontiers Comput. Sci. 18(2): 182101 (2024)
• 
  Qingjun Yuan, Gaopeng Gou, Yuefei Zhu, Yongjuan Wang:
  MMCo: using multimodal deep learning to detect malicious traffic with noisy labels. Frontiers Comput. Sci. 18(1): 181809 (2024)
• 
  Maan Singh Rathore, Suraj Prakash Harsha:
  Unsupervised Domain Deep Transfer Learning Approach for Rolling Bearing Remaining Useful Life Estimation. J. Comput. Inf. Sci. Eng. 24(2) (2024)
• 
  Zhenjun Yu, Ningbo Lei, Yu Mo, Xin Xu, Xiu Li, Biqing Huang:
  Feature Extraction Based on Self-Supervised Learning for Remaining Useful Life Prediction. J. Comput. Inf. Sci. Eng. 24(2) (2024)
• 
  Hongxia Cai, Yunqi Bian, Lilan Liu:
  Deep reinforcement learning for solving resource constrained project scheduling problems with resource disruptions. Robotics Comput. Integr. Manuf. 85: 102628 (2024)
• 
  Wupeng Deng, Quan Liu, Duc Truong Pham, Jiwei Hu, Kin-Man Lam, Yongjing Wang, Zude Zhou:
  Predictive exposure control for vision-based robotic disassembly using deep learning and predictive learning. Robotics Comput. Integr. Manuf. 85: 102619 (2024)
• 
  Dongjun Kim, Minho Choi, Jumyung Um:
  Digital twin for autonomous collaborative robot by using synthetic data and reinforcement learning. Robotics Comput. Integr. Manuf. 85: 102632 (2024)
• 
  Jie Li, Zili Wang, Shuyou Zhang, Yaochen Lin, Lanfang Jiang, Jianrong Tan:
  Task incremental learning-driven Digital-Twin predictive modeling for customized metal forming product manufacturing process. Robotics Comput. Integr. Manuf. 85: 102647 (2024)
• 
  Changchun Liu, Dunbing Tang, Haihua Zhu, Qingwei Nie, Wei Chen, Zhen Zhao:
  An augmented reality-assisted interaction approach using deep reinforcement learning and cloud-edge orchestration for user-friendly robot teaching. Robotics Comput. Integr. Manuf. 85: 102638 (2024)
• 
  Moslem Mohammadi, Abbas Z. Kouzani, Mahdi Bodaghi, John M. Long, Sui Yang Khoo, Yong Xiang, Ali Zolfagharian:
  Sustainable Robotic Joints 4D Printing with Variable Stiffness Using Reinforcement Learning. Robotics Comput. Integr. Manuf. 85: 102636 (2024)
• 
  Shenglin Wang, Jingqiong Zhang, Peng Wang, James Law, Radu Calinescu, Lyudmila Mihaylova:
  A deep learning-enhanced Digital Twin framework for improving safety and reliability in human-robot collaborative manufacturing. Robotics Comput. Integr. Manuf. 85: 102608 (2024)
• 
  Tao Liu, Shoulin Hao, Youqing Wang, Jing Na:
  Predictive State Observer-Based Set-Point Learning Control for Batch Manufacturing Processes With Delay Response. IEEE Trans. Ind. Electron. 71(1): 788-797 (2024)
• 
  Andong Liu, Shuwen Zhan, Zhehao Jin, Wen-An Zhang:
  A Variable Impedance Skill Learning Algorithm Based on Kernelized Movement Primitives. IEEE Trans. Ind. Electron. 71(1): 870-879 (2024)
• 
  Jianfeng Lv, Jiyuan Kuang, Zhongliang Yu, Guanghui Sun, Jianxing Liu, José I. Leon:
  Diagnosis of PEM Fuel Cell System Based on Electrochemical Impedance Spectroscopy and Deep Learning Method. IEEE Trans. Ind. Electron. 71(1): 657-666 (2024)
• 
  The Manh Nguyen, Young-Sik Ghim, Hyug-Gyo Rhee:
  DYnet++: A Deep Learning Based Single-Shot Phase-Measuring Deflectometry for the 3-D Measurement of Complex Free-Form Surfaces. IEEE Trans. Ind. Electron. 71(2): 2112-2121 (2024)
• 
  Guochen Ning, Hanying Liang, Xinran Zhang, Hongen Liao:
  Inverse-Reinforcement-Learning-Based Robotic Ultrasound Active Compliance Control in Uncertain Environments. IEEE Trans. Ind. Electron. 71(2): 1686-1696 (2024)
• 
  Pengliang Qin, Linhui Zhao:
  A Novel Transfer Learning-Based Cell SOC Online Estimation Method for a Battery Pack in Complex Application Conditions. IEEE Trans. Ind. Electron. 71(2): 1606-1615 (2024)
• 
  Qingxiang Wu, Ning Sun, Tong Yang, Yongchun Fang:
  Deep Reinforcement Learning-Based Control for Asynchronous Motor-Actuated Triple Pendulum Crane Systems With Distributed Mass Payloads. IEEE Trans. Ind. Electron. 71(2): 1853-1862 (2024)
• 
  Zhaoxia Yang, Jianwu Zeng, Arturo De La Cruz:
  Learning and Outperforming the Model Predictive Control With a Linear ϵ-Support Vector Machine for Power Converter. IEEE Trans. Ind. Electron. 71(1): 5-13 (2024)
• 
  Angjela Davitkova, Damjan Gjurovski, Sebastian Michel:
  Learning over Sets for Databases. EDBT 2024: 68-80
• 2023
• 
  Baptiste Caramiaux:
  Machine Learning in Interaction: Tool, Material, Culture. (Machine Learning en Interaction: Outil, Matériau, Culture). University of Paris-Saclay, France, 2023
• 
  Loïc Landrieu:
  Structured Learning of Geospatial Data. (Apprentissage Structuré de Données Géosaptiales). École des ponts ParisTech, Champs-sur-Marne, France, 2023
• 
  Benyamin Ghojogh, Mark Crowley, Fakhri Karray, Ali Ghodsi:
  Elements of Dimensionality Reduction and Manifold Learning. Springer 2023, ISBN 978-3-031-10601-9, pp. 1-596
• 
  Yaochu Jin, Hangyu Zhu, Jinjin Xu, Yang Chen:
  Federated Learning - Fundamentals and Advances. Springer 2023, ISBN 978-981-19-7082-5, pp. 1-215
• 
  Ameet V. Joshi:
  Machine Learning and Artificial Intelligence - Second Edition, Second Edition. Springer 2023, ISBN 978-3-031-12281-1, pp. 1-271
• 
  Muralidhar Kurni, Mujeeb Shaik Mohammed, K. G. Srinivasa:
  A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning. Springer 2023, ISBN 978-3-031-32652-3, pp. 1-229

skipping 396,715 more matches