Check computer science papers: citations, claims and retractions

Online Human-Bot Interactions: Detection, Estimation, and Characterization

Varol, O., Ferrara, E., Davis, C., Menczer, F., & Flammini, A. (2017) · Proceedings of the International AAAI Conference on Web and Social Media

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 981

SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights

Milford, M. J., & Wyeth, G. F. (2012) · 2012 IEEE International Conference on Robotics and Automation

Robotics and Sensor-Based LocalizationAutonomous Vehicle Technology and Safety

Cited by 981

Big IoT data analytics: Architecture, opportunities, and open research challenges

Marjani, M., Nasaruddin, F. H., Gani, A., Karim, A., Hashem, M., Siddiqa, A., & Yaqoob, I. (2017) · IEEE Access

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 980

Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review

Gligorea, I., Cioca, M., Oancea, R., Gorski, A.-T., Gorski, H., & Tudorache, P. (2023) · Education Sciences

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 980

Media Forensics and DeepFakes: An Overview

Verdoliva, L. (2020) · IEEE Journal of Selected Topics in Signal Processing

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 979

Robots that can adapt like animals

Cully, A., Clune, J., Tarapore, D., & Mouret, J.-B. (2015) · Nature

Reinforcement Learning in RoboticsModular Robots and Swarm Intelligence

Cited by 979

Detecting and quantifying causal associations in large nonlinear time series datasets

Runge, J., Nowack, P., Kretschmer, M., Flaxman, S., & Sejdinovic, D. (2019) · Science Advances

Bayesian Modeling and Causal InferenceStatistical Methods and Inference

Cited by 979

HAQ: Hardware-Aware Automated Quantization With Mixed Precision

Wang, K., Liu, Z., Lin, Y., Lin, J., & Han, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 978

Stand-Alone Self-Attention in Vision Models

Ramachandran, P., Parmar, N., Vaswani, A., Bello, I., Levskaya, A., & Shlens, J. (2019) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 977

Complete solution classification for the perspective-three-point problem

Gao, X.-S., Hou, X.-R., Tang, J., & Cheng, H.-F. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Vision and ImagingRobotic Mechanisms and Dynamics

Cited by 976

CoQA: A Conversational Question Answering Challenge

Reddy, S., Chen, D., & Manning, C. D. (2019) · Transactions of the Association for Computational Linguistics

Topic ModelingSpeech and dialogue systems

Cited by 975

Compressing Neural Networks with the Hashing Trick

Chen, W., Wilson, J. T., Tyree, S., Weinberger, K. Q., & Chen, Y. (2015) · arXiv

Advanced Neural Network ApplicationsStochastic Gradient Optimization Techniques

Cited by 974

SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines

Xu, Y., Wang, Z., Li, Z., Yuan, Y., & Yu, G. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 974

Distributional clustering of English words

Pereira, F., Tishby, N., & Lee, L. (1993) · Proceedings of the 31st annual meeting on Association for Computational Linguistics -

Natural Language Processing TechniquesAdvanced Clustering Algorithms Research

Cited by 974

Neural Machine Translation of Rare Words with Subword Units

Sennrich, R., Haddow, B., & Birch, A. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 974

TCP Selective Acknowledgment Options

Mathis, M., Mahdavi, J., Floyd, S., & Romanow, A. (1996)

Network Traffic and Congestion ControlWireless Networks and Protocols

Cited by 972

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

Li, S., Li, W., Cook, C., Zhu, C., & Gao, Y. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Neural Networks and ApplicationsHydrological Forecasting Using AI

Cited by 972

Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum‐Classical Algorithms

Sim, S., Johnson, P. D., & Aspuru‐Guzik, A. (2019) · Advanced Quantum Technologies

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 972

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

Yu, K.-H., Zhang, C., Berry, G. J., Altman, R. B., Ré, C., Rubin, D. L., & Snyder, M. (2016) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 972

The Rise and Potential of Large Language Model Based Agents: A Survey

Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., et al. (2023) · arXiv

Artificial Intelligence ApplicationsTopic Modeling

Cited by 972

Deep Reinforcement Learning: A Survey

Wang, X., Wang, S., Liang, X., Zhao, D., Huang, J., Xu, X., Dai, B., & Miao, Q. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 972

Object Detectors Emerge in Deep Scene CNNs

Zhou, B., Khosla, A., Lapedriza, A., Oliva, A., & Torralba, A. (2014) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 971

Adversarial Examples Are Not Bugs, They Are Features

Ilyas, A., Santurkar, S., Tsipras, D., Engstrom, L., Tran, B., & Madry, A. (2019) · arXiv

Adversarial Robustness in Machine LearningMachine Learning and Data Classification

Cited by 971

Deepvo: towards end-to-end visual odometry with deep recurrent convolutional neural networks

Wang, S., Clark, R., Wen, H., & Trigoni, N. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 970