Check computer science papers: citations, claims and retractions

A Study of Today's A.I. through Chatbots and Rediscovery of Machine Intelligence

Khanna, A., Pandey, B., Vashishta, K., Kalia, K., Pradeepkumar, B., & Das, T. (2015) · International Journal of u- and e-Service, Science and Technology

Artificial Intelligence ApplicationsAI in Service Interactions

Cited by 162

What ChatGPT Tells Us about Gender: A Cautionary Tale about Performativity and Gender Biases in AI

Gross, N. (2023) · Social Sciences

Ethics and Social Impacts of AIGender and Feminist Studies

Cited by 162

POSEIDON: Privacy-Preserving Federated Neural Network Learning

Sav, S., Pyrgelis, A., Troncoso-Pastoriza, J. R., Froelicher, D., Bossuat, J.-P., Sousa, J. S., & Hubaux, J.-P. (2021) · Proceedings 2021 Network and Distributed System Security Symposium

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 162

Moiré photo restoration using multiresolution convolutional neural networks

Sun, Y., Yu, Y., & Wang, W. (2018) · IEEE Transactions on Image Processing

Advanced Image Processing TechniquesImage Enhancement Techniques

Cited by 162

Feasibility of large-scale deployment of multiple wearable sensors in Parkinson's disease

Silva de Lima, A. L., Hahn, T., Evers, L. J. W., de Vries, N. M., Cohen, E., Afek, M., Bataille, L., Daeschler, M., Claes, K., Boroojerdi, B., et al. (2017) · PLOS ONE

Context-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Cited by 162

Learning supervised scoring ensemble for emotion recognition in the wild

Hu, P., Cai, D., Wang, S., Yao, A., & Chen, Y. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionAdvanced Neural Network Applications

Cited by 162

Visible Machine Learning for Biomedicine

Yu, M. K., Ma, J., Fisher, J., Kreisberg, J. F., Raphael, B. J., & Ideker, T. (2018) · Cell

Machine Learning in HealthcareExplainable Artificial Intelligence (XAI)

Cited by 162

Identifying patch correctness in test-based program repair

Xiong, Y., Liu, X., Zeng, M., Zhang, L., & Huang, G. (2018) · Proceedings of the 40th International Conference on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 162

Effects of Temperature and Humidity on Radio Signal Strength in Outdoor Wireless Sensor Networks

Luomala, J., & Hakala, I. (2015) · Annals of Computer Science and Information Systems

Energy Efficient Wireless Sensor NetworksWireless Sensor Networks and IoT

Cited by 162

A Self-Learning Call Admission Control Scheme for CDMA Cellular Networks

Liu, D., Zhang, Y., & Zhang, H. (2005) · IEEE Transactions on Neural Networks

Wireless Communication Networks ResearchAdaptive Dynamic Programming Control

Cited by 162

Communication-Computation Trade-off in Resource-Constrained Edge Inference

Shao, J., & Zhang, J. (2020) · IEEE Communications Magazine

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 162

On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward

Choi, H., Crump, C., Duriez, C., Elmquist, A., Hager, G., Han, D., Hearl, F., Hodgins, J., Jain, A., Leve, F., et al. (2021) · Proceedings of the National Academy of Sciences

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 162

Learning to Generate Time-Lapse Videos Using Multi-stage Dynamic Generative Adversarial Networks

Xiong, W., Luo, W., Ma, L., Liu, W., & Luo, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques

Cited by 162

High-Performance FPGA-Based CNN Accelerator With Block-Floating-Point Arithmetic

Lian, X., Liu, Z., Song, Z., Dai, J., Zhou, W., & Ji, X. (2019) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 162

Model-Free Episodic Control

Blundell, C., Uria, B., Pritzel, A., Li, Y., Ruderman, A., Leibo, J. Z., Rae, J., Wierstra, D., & Hassabis, D. (2016) · arXiv

Reinforcement Learning in RoboticsMemory and Neural Mechanisms

Cited by 162

Tighter Theory for Local SGD on Identical and Heterogeneous Data

Khaled, A., Mishchenko, K., & Richtárik, P. (2019) · arXiv

Stochastic Gradient Optimization TechniquesPrivacy-Preserving Technologies in Data

Cited by 162

Super Normal Vector for Human Activity Recognition with Depth Cameras

Yang, X., & Tian, Y. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 162

Displaying proportions and percentages

Spence, I., & Lewandowsky, S. (1991) · Applied Cognitive Psychology

Data Visualization and AnalyticsVisual and Cognitive Learning Processes

Cited by 162

Zero-Shot Machine Unlearning

Chundawat, V. S., Tarun, A. K., Mandal, M., & Kankanhalli, M. (2023) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 162

Omnidirectional visual odometry for a planetary rover

Corke, P., Strelow, D., & Singh, S. (2005) · 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 162

Harmless interpolation of noisy data in regression

Muthukumar, V., Vodrahalli, K., & Sahai, A. (2019) · 2019 IEEE International Symposium on Information Theory (ISIT)

Sparse and Compressive Sensing TechniquesStochastic Gradient Optimization Techniques

Cited by 162

Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT

Amin, M. M., Cambria, E., & Schuller, B. W. (2023) · IEEE Intelligent Systems

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 162

Visually Mapping the RMS Titanic: Conservative Covariance Estimates for SLAM Information Filters

Eustice, R. M., Singh, H., Leonard, J. J., & Walter, M. R. (2006) · The International Journal of Robotics Research

Robotics and Sensor-Based LocalizationUnderwater Vehicles and Communication Systems

Cited by 162

Simplified State Space Layers for Sequence Modeling

Smith, J. T. H., Warrington, A., & Linderman, S. W. (2022) · arXiv

Topic ModelingTime Series Analysis and Forecasting

Cited by 162