Check computer science papers: citations, claims and retractions

An Algorithm–Hardware Co-Optimized Framework for Accelerating N:M Sparse Transformers

Fang, C., Zhou, A., & Wang, Z. (2022) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 94

Toward Personalized Activity Recognition Systems With a Semipopulation Approach

Hong, J.-H., Ramos, J., & Dey, A. K. (2016) · IEEE Transactions on Human-Machine Systems

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 94

Education and training for successful career in big data and business analytics

Dubey, R., & Gunasekaran, A. (2015) · Industrial and Commercial Training

Information Systems Education and Curriculum DevelopmentBig Data and Business Intelligence

Cited by 94

Contrasting Linguistic Patterns in Human and LLM-Generated News Text

Muñoz-Ortiz, A., Gómez-Rodríguez, C., & Vilares, D. (2024) · Artificial Intelligence Review

Natural Language Processing TechniquesAuthorship Attribution and Profiling

Cited by 94

The Low/High Index of Pupillary Activity

Duchowski, A. T., Krejtz, K., Gehrer, N. A., Bafna, T., & Bækgaard, P. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Gaze Tracking and Assistive TechnologyHuman-Automation Interaction and Safety

Cited by 94

The Surprising Effectiveness of Representation Learning for Visual Imitation

Pari, J., Shafiullah, N. M., Arunachalam, S. P., & Pinto, L. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 94

People look at the object they fear: oculomotor capture by stimuli that signal threat

Nissens, T., Failing, M., & Theeuwes, J. (2017) · Cognition and Emotion

Visual Attention and Saliency DetectionNeural and Behavioral Psychology Studies

Cited by 94

Detection of malicious social bots: A survey and a refined taxonomy

Latah, M. (2020) · Expert Systems with Applications

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 94

Clinical-BERT: Vision-Language Pre-training for Radiograph Diagnosis and Reports Generation

Yan, B., & Pei, M. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 94

Developing an Adaptive Risk-Based Access Control Model for the Internet of Things

Atlam, H. F., Alenezi, A., Walters, R. J., Wills, G. B., & Daniel, J. (2017) · 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)

Access Control and TrustIoT and Edge/Fog Computing

Cited by 94

Let Me In: Guidelines for the Successful Onboarding of Newcomers to Open Source Projects

Steinmacher, I., Treude, C., & Gerosa, M. A. (2019) · IEEE Software

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 94

Quantum walks as massless Dirac fermions in curved space-time

Di Molfetta, G., Brachet, M., & Debbasch, F. (2013) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 94

On the Integration of Knowledge Graphs into Deep Learning Models for a More Comprehensible AI—Three Challenges for Future Research

Futia, G., & Vetrò, A. (2020) · Information

Explainable Artificial Intelligence (XAI)Semantic Web and Ontologies

Cited by 94

Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation

Afshar, M., Phillips, A., Karnik, N., Mueller, J., To, D., Gonzalez, R., Price, R., Cooper, R., Joyce, C., & Dligach, D. (2019) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 94

SSTNet: Detecting Manipulated Faces Through Spatial, Steganalysis and Temporal Features

Wu, X., Xie, Z., Gao, Y., & Xiao, Y. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 94

FairSquare: probabilistic verification of program fairness

Albarghouthi, A., D'Antoni, L., Drews, S., & Nori, A. V. (2017) · Proceedings of the ACM on Programming Languages

Logic, programming, and type systemsFormal Methods in Verification

Cited by 94

Autonomous robotic exploration using occupancy grid maps and graph SLAM based on Shannon and Rényi Entropy

Carrillo, H., Dames, P., Kumar, V., & Castellanos, J. A. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics

Cited by 94

A scalable wavelet-based video distortion metric and applications

Masry, M., Hemami, S. S., & Sermadevi, Y. (2006) · IEEE Transactions on Circuits and Systems for Video Technology

Image and Video Quality AssessmentVideo Coding and Compression Technologies

Cited by 94

Interleaved text/image Deep Mining on a large-scale radiology database

Shin, H.-C., Lu, L., Kim, L., Seff, A., Yao, J., & Summers, R. M. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 94

A Multichannel Deep Learning Framework for Cyberbullying Detection on Social Media

Alotaibi, M., Alotaibi, B., & Razaque, A. (2021) · Electronics

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 94

Human-centered design of a distributed knowledge management system

Rinkus, S., Walji, M., Johnson-Throop, K. A., Malin, J. T., Turley, J. P., Smith, J. W., & Zhang, J. (2005) · Journal of Biomedical Informatics

Usability and User Interface DesignSoftware Engineering Techniques and Practices

Cited by 94

Automatic lung nodule detection using profile matching and back-propagation neural network techniques

Shih-Chung, B. L., Freedman, M. T., Lin, J.-S., & Mun, S. K. (1993) · Journal of Digital Imaging

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 94

Towards Real-Time Object Detection on Embedded Systems

Mao, H., Yao, S., Tang, T., Li, B., Yao, J., & Wang, Y. (2018) · IEEE Transactions on Emerging Topics in Computing

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 94

It's about power: What ethical concerns do software engineers have, and what do they (feel they can) do about them?

Widder, D. G., Zhen, D., Dabbish, L., & Herbsleb, J. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 94