Check computer science papers: citations, claims and retractions

Optimization of advanced encryption standard on graphics processing units

Tezcan, C. (2021) · IEEE Access

Cryptographic Implementations and SecurityParallel Computing and Optimization Techniques

Cited by 45

X-Portrait: Expressive Portrait Animation with Hierarchical Motion Attention

Xie, Y., Xu, H., Song, G., Wang, C., Shi, Y., & Luo, L. (2024) · Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers 24

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 45

Characterizing Pedophile Conversations on the Internet using Online Grooming

Gupta, A., Kumaraguru, P., & Sureka, A. (2012) · arXiv

Hate Speech and Cyberbullying DetectionCybercrime and Law Enforcement Studies

Cited by 45

A machine learning approach to QoE-based video admission control and resource allocation in wireless systems

Testolin, A., Zanforlin, M., De Filippo De Grazia, M., Munaretto, D., Zanella, A., Zorzi, M., & Zorzi, M. (2014) · 2014 13th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET)

Image and Video Quality AssessmentAdvanced Wireless Network Optimization

Cited by 45

Data Player: Automatic Generation of Data Videos with Narration-Animation Interplay

Shen, L., Zhang, Y., Zhang, H., & Wang, Y. (2024) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsDigital Media and Visual Art

Cited by 45

The insecurity of wireless networks

Sheldon, F. T., Weber, J. M., Yoo, S.-M., & Pan, W. D. (2012) · IEEE Security & Privacy Magazine

Network Security and Intrusion DetectionWireless Networks and Protocols

Cited by 45

Techniques and countermeasures for preventing insider threats

Alsowail, R. A., & Al-Shehari, T. (2022) · PeerJ Computer Science

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 45

Types of approximation for probabilistic cognition: Sampling and variational.

Sanborn, A. N. (2017) · Brain and Cognition

Bayesian Modeling and Causal InferenceCognitive Science and Education Research

Cited by 45

Leveraging GPT-4 for identifying cancer phenotypes in electronic health records: a performance comparison between GPT-4, GPT-3.5-turbo, Flan-T5, Llama-3-8B, and spaCy’s rule-based and machine learning-based methods

Bhattarai, K., Oh, I. Y., Sierra, J. M., Tang, J., Payne, P. R. O., Abrams, Z., & Lai, A. M. (2024) · JAMIA Open

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 45

Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition

Thukral, M., Haresamudram, H., & Ploetz, T. (2023) · arXiv

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 45

Does ChatGPT Help Novice Programmers Write Better Code? Results From Static Code Analysis

Haindl, P., & Weinberger, G. (2024) · IEEE Access

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 45

LiveDeep: Online Viewport Prediction for Live Virtual Reality Streaming Using Lifelong Deep Learning

Feng, X., Liu, Y., & Wei, S. (2020) · 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

Image and Video Quality AssessmentMultimedia Communication and Technology

Cited by 45

Wearables in the wet lab: a laboratory system for capturing and guiding experiments

Scholl, P. M., Wille, M., & Van Laerhoven, K. (2015) · Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Interactive and Immersive DisplaysAugmented Reality Applications

Cited by 45

Voice conversion versus speaker verification: an overview

Wu, Z., & Li, H. (2014) · APSIPA Transactions on Signal and Information Processing

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 45

The computational power of random quantum circuits in arbitrary geometries

DeCross, M., Haghshenas, R., Liu, M., Rinaldi, E., Gray, J., Alexeev, Y., Baldwin, C. H., Bartolotta, J. P., Bohn, M., Chertkov, E., et al. (2024) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 45

Cognitive load evaluation of handwriting using stroke-level features

Yu, K., Epps, J., & Chen, F. (2011) · Proceedings of the 16th international conference on Intelligent user interfaces

Gaze Tracking and Assistive TechnologyUsability and User Interface Design

Cited by 45

Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI)

Hsiao, J. H.-W., Ngai, H. H. T., Qiu, L., Yang, Y., & Cao, C. C. (2021) · arXiv

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 45

A neural-fuzzy system for congestion control in ATM networks

Lee, S.-J., & Hou, C.-L. (2000) · IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)

Network Traffic and Congestion ControlSoftware-Defined Networks and 5G

Cited by 45

HyperTree Proof Search for Neural Theorem Proving

Lample, G., Lacroix, T., Lachaux, M.-A., Rodriguez, A., Hayat, A., Lavril, T., Ebner, G., & Martinet, X. (2022) · Advances in Neural Information Processing Systems 35

Logic, programming, and type systemsLogic, Reasoning, and Knowledge

Cited by 45

Exploration of human activity recognition using a single sensor for stroke survivors and able-bodied people

Meng, L., Zhang, A., Chen, C., Wang, X., Jiang, X., Tao, L., Fan, J., Wu, X., Dai, C., Zhang, Y., et al. (2021) · Sensors

Context-Aware Activity Recognition SystemsStroke Rehabilitation and Recovery

Cited by 45

BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization

Yang, H., Duan, L., Chen, Y., & Li, H. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 45

PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition

Ngwe, J. L., Lim, K. M., Lee, C. P., Ong, T. S., & Alqahtani, A. (2024) · IEEE Access

Emotion and Mood RecognitionFace recognition and analysis

Cited by 45

Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection

Daxberger, E., & Hernández-Lobato, J. M. (2019) · arXiv

Adversarial Robustness in Machine LearningAnomaly Detection Techniques and Applications

Cited by 45

A novel anomaly detection method for digital twin data using deconvolution operation with attention mechanism

Li, Z., Duan, M., Xiao, B., & Yang, S. (2023) · IEEE Transactions on Industrial Informatics

Anomaly Detection Techniques and ApplicationsNetwork Security and Intrusion Detection

Cited by 45