Check computer science papers: citations, claims and retractions

Assessing Image Quality Issues for Real-World Problems

Chiu, T.-Y., Zhao, Y., & Gurari, D. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsImage and Video Quality Assessment

Cited by 63

Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech

Christensen, H., Aniol, M. B., Bell, P., Green, P. D., Hain, T., King, S., & Swietojanski, P. (2013) · Interspeech 2013

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 63

Digital Proxemics: Designing Social and Collaborative Interaction in Virtual Environments

Williamson, J. R., O'Hagan, J., Guerra-Gomez, J. A., Williamson, J. H., Cesar, P., & Shamma, D. A. (2022) · CHI Conference on Human Factors in Computing Systems

Virtual Reality Applications and ImpactsInteractive and Immersive Displays

Cited by 63

A Comprehensive Systematic Review of AI-Driven Approaches to Self-Directed Learning

Younas, M., Abdel Salam El-Dakhs, D., & Jiang, Y. (2025) · IEEE Access

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 63

Mining causality of network events in log data

Kobayashi, S., Otomo, K., Fukuda, K., & Esaki, H. (2018) · IEEE Transactions on Network and Service Management

Software System Performance and ReliabilityNetwork Security and Intrusion Detection

Cited by 63

Meta-key: a secure data-sharing protocol under blockchain-based decentralized storage architecture

Li, D., Du, R., Fu, Y., & Au, M. H. (2019) · IEEE Networking Letters

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 63

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers

Tay, Y., Dehghani, M., Rao, J., Fedus, W., Abnar, S., Chung, H. W., Narang, S., Yogatama, D., Vaswani, A., & Metzler, D. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 63

Research on Intrusion Detection Method Based on Pearson Correlation Coefficient Feature Selection Algorithm

Chen, P., Li, F., & Wu, C. (2021) · Journal of Physics: Conference Series

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 62

Can Multisensorial Media Improve Learner Experience?

Zou, L., Tal, I., Covaci, A., Ibarrola, E., Ghinea, G., & Muntean, G.-M. (2017) · Proceedings of the 8th ACM on Multimedia Systems Conference

Virtual Reality Applications and ImpactsAugmented Reality Applications

Cited by 62

Image acquisition forensics: Forensic analysis to identify imaging source

McKay, C., Swaminathan, A., Gou, H., & Wu, M. (2008) · 2008 IEEE International Conference on Acoustics, Speech and Signal Processing

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 62

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting

Lin, S.-C., Yang, J.-H., Nogueira, R., Tsai, M.-F., Wang, C.-J., & Lin, J. (2020) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 62

IEEE 7010: A New Standard for Assessing the Well-being Implications of Artificial Intelligence

Schiff, D., Ayesh, A., Musikanski, L., & Havens, J. C. (2020) · 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Ethics and Social Impacts of AIInnovation, Sustainability, Human-Machine Systems

Cited by 62

A Framework for Edge-Assisted Healthcare Data Analytics using Federated Learning

Hakak, S., Ray, S., Khan, W. Z., & Scheme, E. (2020) · 2020 IEEE International Conference on Big Data (Big Data)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 62

Acoustic and Lexical Sentiment Analysis for Customer Service Calls

Li, B., Dimitriadis, D., & Stolcke, A. (2019) · ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 62

Near-term quantum algorithms for linear systems of equations

Huang, H.-Y., Bharti, K., & Rebentrost, P. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 62

Quality of Experience in the Multimedia Internet of Things: Definition and practical use-cases

Floris, A., & Atzori, L. (2015) · 2015 IEEE International Conference on Communication Workshop (ICCW)

Image and Video Quality AssessmentIoT and Edge/Fog Computing

Cited by 62

A new soft biometric approach for keystroke dynamics based on gender recognition

Giot, R., & Rosenberger, C. (2012) · International Journal of Information Technology and Management

User Authentication and Security SystemsBiometric Identification and Security

Cited by 62

Ubiquitous learning: Determinants impacting learners’ satisfaction and performance with smartphones

Jung, H.-J. (2014) · Language Learning & Technology

Mobile Learning in EducationEnglish Language Learning and Teaching

Cited by 62

Towards practical applications in quantum computational biology

Fedorov, A. K., & Gelfand, M. S. (2021) · Nature Computational Science

Quantum Computing Algorithms and ArchitectureDNA and Biological Computing

Cited by 62

Supervised Contrastive Learning for Generalizable and Explainable DeepFakes Detection

Xu, Y., Raja, K., & Pedersen, M. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 62

A Review on Language Models as Knowledge Bases

AlKhamissi, B., Li, M., Celikyilmaz, A., Diab, M., & Ghazvininejad, M. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 62

Partial least squares regression on grassmannian manifold for emotion recognition

Liu, M., Wang, R., Huang, Z., Shan, S., & Chen, X. (2013) · Proceedings of the 15th ACM on International conference on multimodal interaction

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 62

Auditing Algorithmic Bias on Twitter

Bartley, N., Abeliuk, A., Ferrara, E., & Lerman, K. (2021) · 13th ACM Web Science Conference 2021

Ethics and Social Impacts of AIMisinformation and Its Impacts

Cited by 62

Resampling methods improve the predictive power of modeling in class-imbalanced datasets

Lee, P. (2014) · International Journal of Environmental Research and Public Health

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 62