Check computer science papers: citations, claims and retractions

Model evaluation for extreme risks

Shevlane, T., Farquhar, S., Garfinkel, B., Phuong, M., Whittlestone, J., Leung, J., Kokotajlo, D., Marchal, N., Anderljung, M., Kolt, N., et al. (2023) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 66

Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS

Prana, G. A. A., Ford, D., Rastogi, A., Lo, D., Purandare, R., & Nagappan, N. (2022) · IEEE Transactions on Software Engineering

Open Source Software InnovationsGender and Technology in Education

Cited by 66

Performance Optimizations and Bounds for Sparse Matrix-Vector Multiply

Vuduc, R., Demmel, J. W., Yelick, K. A., Kamil, S., Nishtala, R., & Lee, B. (2002) · ACM/IEEE SC 2002 Conference (SC'02)

Parallel Computing and Optimization TechniquesMatrix Theory and Algorithms

Cited by 66

DistB-Condo: Distributed Blockchain-Based IoT-SDN Model for Smart Condominium

Rahman, A., Islam, M. J., Rahman, Z., Reza, M. M., Anwar, A., Mahmud, M. A. P., Nasir, M. K., & Noor, R. M. (2020) · IEEE Access

Blockchain Technology Applications and SecuritySoftware-Defined Networks and 5G

Cited by 66

A genetic algorithms approach to modeling the performance of memory-bound computations

Tikir, M. M., Carrington, L., Strohmaier, E., & Snavely, A. (2007) · Proceedings of the 2007 ACM/IEEE conference on Supercomputing

Parallel Computing and Optimization TechniquesDistributed and Parallel Computing Systems

Cited by 66

Enhancing human agency through redress in Artificial Intelligence Systems

Fanni, R., Steinkogler, V. E., Zampedri, G., & Pierson, J. (2023) · AI & SOCIETY

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 66

Contextual Processing of Structured Data by Recursive Cascade Correlation

Micheli, A., Sona, D., & Sperduti, A. (2004) · IEEE Transactions on Neural Networks

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 66

A systematic literature review on the effectiveness of deepfake detection techniques

Stroebel, L., Llewellyn, M., Hartley, T., Ip, T. S., & Ahmed, M. (2023) · Journal of Cyber Security Technology

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 66

Deepfake forensics analysis: An explainable hierarchical ensemble of weakly supervised models

Silva, S. H., Bethany, M., Votto, A. M., Scarff, I. H., Beebe, N., & Najafirad, P. (2022) · Forensic Science International: Synergy

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 66

Testing for deterministic trend and seasonal components in time series models

FRANZINI, L., & HARVEY, A. C. (1983) · Biometrika

Time Series Analysis and ForecastingStatistical and numerical algorithms

Cited by 66

Multi-objective Virtual Machine Placement with Service Level Agreement: A Memetic Algorithm Approach

Pires, F. L., & Baran, B. (2013) · 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 66

Low latency RNN inference with cellular batching

Gao, P., Yu, L., Wu, Y., & Li, J. (2018) · Proceedings of the Thirteenth EuroSys Conference

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 66

Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation

Liao, H., Lin, W.-A., Zhang, J., Zhang, J., Luo, J., & Zhou, S. K. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Medical Image Segmentation TechniquesDental Radiography and Imaging

Cited by 66

Trust Evaluation for Light Weight Security in Sensor Enabled Internet of Things: Game Theory Oriented Approach

Rani, R., Kumar, S., & Dohare, U. (2019) · IEEE Internet of Things Journal

Security in Wireless Sensor NetworksAccess Control and Trust

Cited by 65

Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference

Yang, K., Shi, Y., Yu, W., & Ding, Z. (2020) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingAdvanced MIMO Systems Optimization

Cited by 65

Mapping the Role of Digital Health Technologies in Prevention and Control of COVID-19 Pandemic: Review of the Literature

Tilahun, B., Gashu, K. D., Mekonnen, Z. A., Endehabtu, B. F., & Angaw, D. A. (2021) · Yearbook of Medical Informatics

COVID-19 Digital Contact TracingHealthcare during COVID-19 Pandemic

Cited by 65

Fadl Federated-autonomous deep learning for distributed electronic health record

Liu, D., Miller, T., Sayeed, R., & Mandl, K. D. (2018) · arXiv

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 65

A Machine Learning Algorithm for Identifying Atopic Dermatitis in Adults from Electronic Health Records

Gustafson, E., Pacheco, J., Wehbe, F., Silverberg, J., & Thompson, W. (2017) · 2017 IEEE International Conference on Healthcare Informatics (ICHI)

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 65

NLP2Code: Code Snippet Content Assist via Natural Language Tasks

Campbell, B. A., & Treude, C. (2017) · 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME)

Software Engineering ResearchInformation Retrieval and Search Behavior

Cited by 65

Trust Modeling for Networked Organizations Using Reputation and Collaboration Estimates

Lavra, N., Ljubi, P., Urbani, T., Papa, G., Jermol, M., & Bollhalter, S. (2007) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)

Access Control and TrustCollaboration in agile enterprises

Cited by 65

Object-Proposal Evaluation Protocol is ‘Gameable’

Chavali, N., Agrawal, H., Mahendru, A., & Batra, D. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 65

Information-theoretic active scene exploration

Sommerlade, E., & Reid, I. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 65

ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology

Foran, D. J., Yang, L., Chen, W., Hu, J., Goodell, L. A., Reiss, M., Wang, F., Kurc, T., Pan, T., Sharma, A., et al. (2011) · Journal of the American Medical Informatics Association

AI in cancer detectionImage Retrieval and Classification Techniques

Cited by 65

A framework for enhancing the social good in computing education: a values approach

Goldweber, M., Barr, J., Clear, T., Davoli, R., Mann, S., Patitsas, E., & Portnoff, S. (2013) · ACM Inroads

Teaching and Learning ProgrammingProblem and Project Based Learning

Cited by 65