Check computer science papers: citations, claims and retractions

Simple, Transparent, and Flexible Automated Quality Assessment Procedures for Ambulatory Electrodermal Activity Data

Kleckner, I. R., Jones, R. M., Wilder-Smith, O., Wormwood, J. B., Akcakaya, M., Quigley, K. S., Lord, C., & Goodwin, M. S. (2018) · IEEE Transactions on Biomedical Engineering

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 121

Postural Instability and Motion Sickness in a Virtual Moving Room

Villard, S. J., Flanagan, M. B., Albanese, G. M., & Stoffregen, T. A. (2008) · Human Factors: The Journal of the Human Factors and Ergonomics Society

Virtual Reality Applications and ImpactsVestibular and auditory disorders

Cited by 121

Zermelo’s problem: Optimal point-to-point navigation in 2D turbulent flows using reinforcement learning

Biferale, L., Bonaccorso, F., Buzzicotti, M., Clark Di Leoni, P., & Gustavsson, K. (2019) · Chaos: An Interdisciplinary Journal of Nonlinear Science

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 121

SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models

Cheng, A.-C., Yin, H., Fu, Y., Guo, Q., Yang, R., Kautz, J., Wang, X., & Liu, S. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 121

CIoT-Net: a scalable cognitive IoT based smart city network architecture

Park, J.-H., Salim, M. M., Jo, J. H., Sicato, J. C. S., Rathore, S., & Park, J. H. (2019) · Human-centric Computing and Information Sciences

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 121

Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net

Zhou, G., Fan, Y., Cui, R., Bian, W., Zhu, X., & Gai, K. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 121

Coordinating interdependencies in online communities: A study of an open source software project

Lindberg, A., Berente, N., Gaskin, J., & Lyytinen, K. (2016) · Information Systems Research

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 121

DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

Han, D., Wang, Z., Chen, W., Zhong, Y., Wang, S., Zhang, H., Yang, J., Shi, X., & Yin, X. (2021) · Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 121

Multimodal Emotion Recognition Based on Facial Expressions, Speech, and EEG

Pan, J., Fang, W., Zhang, Z., Chen, B., Zhang, Z., & Wang, S. (2024) · IEEE Open Journal of Engineering in Medicine and Biology

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 121

Audio deepfakes: A survey

Khanjani, Z., Watson, G., & Janeja, V. P. (2023) · Frontiers in Big Data

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 121

SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic

Rahman, A., Chakraborty, C., Anwar, A., Karim, M. R., Islam, M. J., Kundu, D., Rahman, Z., & Band, S. S. (2022) · Cluster Computing

Software-Defined Networks and 5GIoT and Edge/Fog Computing

Cited by 121

Responses to catastrophic AGI risk: a survey

Sotala, K., & Yampolskiy, R. V. (2015) · Physica Scripta

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 121

Data science in education: big data and learning analytics.

Klašnja‐Milićević, A., Ivanović, M., & Budimac, Z. (2017) · Computer Applications in Engineering Education

Online Learning and AnalyticsBig Data Technologies and Applications

Cited by 121

Low-Depth Gradient Measurements Can Improve Convergence in Variational Hybrid Quantum-Classical Algorithms

Harrow, A. W., & Napp, J. C. (2021) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 121

RedditBias: A real-world resource for bias evaluation and debiasing of conversational language models

Barikeri, S., Lauscher, A., Vulić, I., & Glavaš, G. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 121

Typology of Risks of Generative Text-to-Image Models

Bird, C., Ungless, E., & Kasirzadeh, A. (2023) · Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIGenerative Adversarial Networks and Image Synthesis

Cited by 121

Adaptive Bitrate Selection: A Survey

Sani, Y., Mauthe, A., & Edwards, C. (2017) · IEEE Communications Surveys & Tutorials

Image and Video Quality AssessmentNetwork Traffic and Congestion Control

Cited by 121

Model averaging, optimal inference, and habit formation

FitzGerald, T. H. B., Dolan, R. J., & Friston, K. J. (2014) · Frontiers in Human Neuroscience

Bayesian Modeling and Causal InferenceEmbodied and Extended Cognition

Cited by 121

Answers Unite! Unsupervised Metrics for Reinforced Summarization Models

Scialom, T., Lamprier, S., Piwowarski, B., & Staiano, J. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 121

Solving parsons problems versus fixing and writing code

Ericson, B. J., Margulieux, L. E., & Rick, J. (2017) · Proceedings of the 17th Koli Calling International Conference on Computing Education Research

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 121

ATRW: A Benchmark for Amur Tiger Re-identification in the Wild

Li, S., Li, J., Tang, H., Qian, R., & Lin, W. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Video Surveillance and Tracking MethodsHuman Pose and Action Recognition

Cited by 121

Path following using visual odometry for a Mars rover in high-slip environments

Helmick, D. M., Cheng, Y., & Roumeliotis, S. I. (2004) · 2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720)

Robotics and Sensor-Based LocalizationControl and Dynamics of Mobile Robots

Cited by 121

Determinants of master data management adoption by local government organizations: An empirical study

Haneem, F., Kama, N., Taskin, N., Pauleen, D., & Abu Bakar, N. A. (2019) · International Journal of Information Management

Data Quality and ManagementE-Government and Public Services

Cited by 121

Algorithmic Transference: People Overgeneralize Failures of AI in the Government

Longoni, C., Cian, L., & Kyung, E. J. (2023) · Journal of Marketing Research

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 121