Check computer science papers: citations, claims and retractions

Market Analysis of Distributed Learning Resource Management for Internet of Things: A Game-Theoretic Approach

Lee, J., Kim, D., & Niyato, D. (2020) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 60

Envisioning a Quantum Supercomputer

Lloyd, S. (1994) · Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 60

Classifying major depressive disorder and response to deep brain stimulation over time by analyzing facial expressions

Jiang, Z., Harati, S., Crowell, A., Mayberg, H. S., Nemati, S., & Clifford, G. D. (2021) · IEEE Transactions on Biomedical Engineering

Emotion and Mood RecognitionFace recognition and analysis

Cited by 60

Training Language Models with Memory Augmentation

Zhong, Z., Lei, T., & Chen, D. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 60

Provenance-Aware Knowledge Representation: A Survey of Data Models and Contextualized Knowledge Graphs

Sikos, L. F., & Philp, D. (2020) · Data Science and Engineering

Semantic Web and OntologiesLibrary Science and Information Systems

Cited by 60

Autonomic Power & Performance Management for Large-Scale Data Centers

Khargharia, B., Hariri, S., Szidarovszky, F., Houri, M., El-Rewini, H., Khan, S. U., Ahmad, I., & Yousif, M. S. (2007) · 2007 IEEE International Parallel and Distributed Processing Symposium

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 60

Stacked Memory Network for Video Summarization

Wang, J., Wang, W., Wang, Z., Wang, L., Feng, D., & Tan, T. (2019) · Proceedings of the 27th ACM International Conference on Multimedia

Video Analysis and SummarizationMultimodal Machine Learning Applications

Cited by 60

Why Teaching Ethics to AI Practitioners Is Important

Goldsmith, J., & Burton, E. (2017) · Proceedings of the AAAI Conference on Artificial Intelligence

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 60

Theories and Models of Emotions, Attitudes, and Self-Efficacy in the Context of Programming Education

Malmi, L., Sheard, J., Kinnunen, P., Simon, & Sinclair, J. (2020) · Proceedings of the 2020 ACM Conference on International Computing Education Research

Teaching and Learning ProgrammingGender and Technology in Education

Cited by 60

Contesting algorithms: Restoring the public interest in content filtering by artificial intelligence

Elkin-Koren, N. (2020) · Big Data & Society

Ethics and Social Impacts of AIFreedom of Expression and Defamation

Cited by 60

Discrete-time quantum walks: Continuous limit and symmetries

di Molfetta, G., & Debbasch, F. (2012) · Journal of Mathematical Physics

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 60

A systematic review of the purposes of Blockchain and fog computing integration: classification and open issues

Alzoubi, Y. I., Gill, A., & Mishra, A. (2022) · Journal of Cloud Computing

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 60

Semi-automated registration-based anatomical labelling, voxel based morphometry and cortical thickness mapping of the mouse brain

Pagani, M., Damiano, M., Galbusera, A., Tsaftaris, S. A., & Gozzi, A. (2016) · Journal of Neuroscience Methods

Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications

Cited by 60

Assessment framework for deepfake detection in real-world situations

Lu, Y., & Ebrahimi, T. (2024) · EURASIP Journal on Image and Video Processing

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 60

Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation

Li, M., Cai, W., Verspoor, K., Pan, S., Liang, X., & Chang, X. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 60

Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments

Raychaudhuri, S., Wani, S., Patel, S., Jain, U., & Chang, A. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 60

On Designing Programming Error Messages for Novices: Readability and its Constituent Factors

Denny, P., Prather, J., Becker, B. A., Mooney, C., Homer, J., Albrecht, Z. C., & Powell, G. B. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 60

ChatScratch: An AI-Augmented System Toward Autonomous Visual Programming Learning for Children Aged 6-12

Chen, L., Xiao, S., Chen, Y., Song, Y., Wu, R., & Sun, L. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 60

Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts

Wang, J., Huang, S., Wang, X., & Tao, D. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Human Pose and Action Recognition3D Shape Modeling and Analysis

Cited by 60

Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?

Bommasani, R., Creel, K. A., Kumar, A., Jurafsky, D., & Liang, P. (2022) · arXiv

Ethics and Social Impacts of AIRecommender Systems and Techniques

Cited by 60

A Data Security Enhanced Access Control Mechanism in Mobile Edge Computing

Hou, Y., Garg, S., Hui, L., Jayakody, D. N. K., Jin, R., & Hossain, M. S. (2020) · IEEE Access

Access Control and TrustIoT and Edge/Fog Computing

Cited by 60

You see what I want you to see: poisoning vulnerabilities in neural code search

Wan, Y., Zhang, S., Zhang, H., Sui, Y., Xu, G., Yao, D., Jin, H., & Sun, L. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Engineering ResearchAdversarial Robustness in Machine Learning

Cited by 60

Deployment of Machine Learning and Deep Learning Algorithms in Detecting Cyberbullying in Bangla and Romanized Bangla text: A Comparative Study

Ahmed, M. T., Rahman, M., Nur, S., Islam, A., & Das, D. (2021) · 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)

Hate Speech and Cyberbullying DetectionText and Document Classification Technologies

Cited by 60

A Survey of Blockchain-Based Schemes for Data Sharing and Exchange

Song, R., Xiao, B., Song, Y., Guo, S., & Yang, Y. (2023) · IEEE Transactions on Big Data

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 59