Check computer science papers: citations, claims and retractions

Responsible research with crowds: pay crowdworkers at least minimum wage

Silberman, M. S., Tomlinson, B., LaPlante, R., Ross, J., Irani, L., & Zaldivar, A. (2018) · Communications of the ACM

Mobile Crowdsensing and CrowdsourcingEthics and Social Impacts of AI

Cited by 109

Smartwatch-based Human Activity Recognition Using Hybrid LSTM Network

Mekruksavanich, S., & Jitpattanakul, A. (2020) · 2020 IEEE SENSORS

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 109

Continuous user authentication using multi-modal biometrics

Saevanee, H., Clarke, N., Furnell, S., & Biscione, V. (2015) · Computers & Security

User Authentication and Security SystemsBiometric Identification and Security

Cited by 109

Algorithmic Justice in Child Protection: Statistical Fairness, Social Justice and the Implications for Practice

Keddell, E. (2019) · Social Sciences

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 109

LaMP: When Large Language Models Meet Personalization

Salemi, A., Mysore, S., Bendersky, M., & Zamani, H. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 109

COVID-19 detection using federated machine learning

Abdul Salam, M., Taha, S., & Ramadan, M. (2021) · PLOS ONE

Privacy-Preserving Technologies in DataCOVID-19 diagnosis using AI

Cited by 109

Language as an Abstraction for Hierarchical Deep Reinforcement Learning

Jiang, Y., Gu, S., Murphy, K., & Finn, C. (2019) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 109

Overfitting problem and the over-training in the era of data: Particularly for Artificial Neural Networks

Bilbao, I., & Bilbao, J. (2017) · 2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS)

Neural Networks and ApplicationsMachine Learning and Data Classification

Cited by 109

A review of recent developments in Simultaneous Localization and Mapping

Dissanayake, G., Huang, S., Wang, Z., & Ranasinghe, R. (2011) · 2011 6th International Conference on Industrial and Information Systems

Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics

Cited by 108

Artificial Intelligence for Social Good

Hager, G. D., Drobnis, A., Fang, F., Ghani, R., Greenwald, A., Lyons, T., Parkes, D. C., Schultz, J., Saria, S., Smith, S. F., et al. (2019) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 108

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Fu, S., Tamir, N., Sundaram, S., Chai, L., Zhang, R., Dekel, T., & Isola, P. (2023) · Advances in Neural Information Processing Systems 36

Domain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image Synthesis

Cited by 108

Analytic reproducibility in articles receiving open data badges at the journal Psychological Science : an observational study

Hardwicke, T. E., Bohn, M., MacDonald, K., Hembacher, E., Nuijten, M. B., Peloquin, B. N., deMayo, B. E., Long, B., Yoon, E. J., & Frank, M. C. (2021) · Royal Society Open Science

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 108

“Preventing replay attacks on speaker verification systems,”

Villalba, J., & Lleida, E. (2011) · 2011 Carnahan Conference on Security Technology

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 108

Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood

Schultebraucks, K., Yadav, V., Shalev, A. Y., Bonanno, G. A., & Galatzer-Levy, I. R. (2022) · Psychological Medicine

Emotion and Mood RecognitionPosttraumatic Stress Disorder Research

Cited by 108

Hardware-efficient quantum error correction via concatenated bosonic qubits

Putterman, H., Noh, K., Hann, C. T., MacCabe, G. S., Aghaeimeibodi, S., Patel, R. N., Lee, M., Jones, W. M., Moradinejad, H., Rodriguez, R., et al. (2025) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 108

Robust Multimodal Emotion Recognition from Conversation with Transformer-Based Crossmodality Fusion

Xie, B., Sidulova, M., & Park, C. H. (2021) · Sensors

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 108

New benchmark for image segmentation evaluation

Ge, F., Wang, S., & Liu, T. (2007) · Journal of Electronic Imaging

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 108

AI TURNS FIFTY: REVISITING ITS ORIGINS

Cordeschi, R. (2007) · Applied Artificial Intelligence

History of Computing TechnologiesCybernetics and Technology in Society

Cited by 108

Learning Certifiably Optimal Rule Lists for Categorical Data

Angelino, E., Larus-Stone, N., Alabi, D., Seltzer, M., & Rudin, C. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Data Mining Algorithms and Applications

Cited by 108

Engineering AI Systems: A Research Agenda

Bosch, J., Olsson, H. H., & Crnkovic, I. (2021) · Advances in Systems Analysis, Software Engineering, and High Performance Computing

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 108

Quantum Algorithm for Spectral Measurement with a Lower Gate Count

Poulin, D., Kitaev, A., Steiger, D. S., Hastings, M. B., & Troyer, M. (2018) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 108

Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features

Pinto, A., Pereira, S., Correia, H., Oliveira, J., Rasteiro, D. M. L. D., & Silva, C. A. (2015) · 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 108

Temporal Multimodal Learning in Audiovisual Speech Recognition

Hu, D., Li, X., & Lu, X. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Speech and Audio ProcessingSpeech Recognition and Synthesis

Cited by 108

Neural network analysis of EUS images to differentiate between pancreatic malignancy and pancreatitis

Norton, I. D., Zheng, Y., Wiersema, M. S., Greenleaf, J., Clain, J. E., & DiMagno, E. P. (2001) · Gastrointestinal Endoscopy

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 108