Check computer science papers: citations, claims and retractions

IoT data cleaning techniques: A survey

Ding, X., Wang, H., Li, G., Li, H., Li, Y., & Liu, Y. (2022) · Intelligent and Converged Networks

Data Quality and ManagementTime Series Analysis and Forecasting

Cited by 35

Many-Shot In-Context Learning

Agarwal, R., Singh, A., Zhang, L. M., Bohnet, B., Rosias, L., Chan, S., Zhang, B., Anand, A., Abbas, Z., Nova, A., et al. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 35

Distributed Inference and Fine-tuning of Large Language Models Over The Internet

Borzunov, A., Ryabinin, M., Chumachenko, A., Baranchuk, D., Dettmers, T., Belkada, Y., Samygin, P., & Raffel, C. (2023) · arXiv

Topic ModelingPrivacy-Preserving Technologies in Data

Cited by 35

A Comparative Study on Physical and Perceptual Features for Deepfake Audio Detection

Li, M., Ahmadiadli, Y., & Zhang, X.-P. (2022) · Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 35

Enhancing brain tumor detection in MRI images using YOLO-NeuroBoost model

Chen, A., Lin, D., & Gao, Q. (2024) · Frontiers in Neurology

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 35

Image-based navigation for functional endoscopic sinus surgery using structure from motion

Leonard, S., Reiter, A., Sinha, A., Ishii, M., Taylor, R. H., & Hager, G. D. (2016) · SPIE Proceedings

Medical Image Segmentation TechniquesAugmented Reality Applications

Cited by 35

Dual-layer optical encryption fluorescent polymer waveguide chip based on optical pulse-code modulation technique

Wang, C., Zhang, D., Yue, J., Zhang, X., Lin, H., Sun, X., Cui, A., Zhang, T., Chen, C., & Fei, T. (2023) · Nature Communications

Chaos-based Image/Signal EncryptionPhotorefractive and Nonlinear Optics

Cited by 35

Feature Learning in Infinite-Width Neural Networks

Yang, G., & Hu, E. J. (2020) · arXiv

Stochastic Gradient Optimization TechniquesDomain Adaptation and Few-Shot Learning

Cited by 35

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors

Hartvigsen, T., Sankaranarayanan, S., Palangi, H., Kim, Y., & Ghassemi, M. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 35

Interactive Debugging and Steering of Multi-Agent AI Systems

Epperson, W., Bansal, G., Dibia, V. C., Fourney, A., Gerrits, J., Zhu, E. (., & Amershi, S. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Software Testing and Debugging TechniquesUsability and User Interface Design

Cited by 35

Recognition of facial expressions using HMM with continuous output probabilities

Otsuka, T., & Ohya, J. (2002) · Proceedings 5th IEEE International Workshop on Robot and Human Communication. RO-MAN'96 TSUKUBA

Face and Expression RecognitionEmotion and Mood Recognition

Cited by 35

Experiencing the reading glove

Tanenbaum, K., Tanenbaum, T. J., Antle, A. N., Bizzocchi, J., Seif el-Nasr, M., & Hatala, M. (2010) · Proceedings of the fifth international conference on Tangible, embedded, and embodied interaction

Innovative Human-Technology InteractionInteractive and Immersive Displays

Cited by 35

SIEM‐based framework for security controls automation

Montesino, R., Fenz, S., & Baluja, W. (2012) · Information Management & Computer Security

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 35

The pitfalls of planar spin-glass benchmarks: raising the bar for quantum annealers (again)

Mandrà, S., Katzgraber, H. G., & Thomas, C. (2017) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 35

Predicting vital sign deterioration with artificial intelligence or machine learning

Vistisen, S. T., Johnson, A. E. W., & Scheeren, T. W. L. (2019) · Journal of Clinical Monitoring and Computing

Machine Learning in HealthcareNon-Invasive Vital Sign Monitoring

Cited by 35

Artificial intelligence: think again

Kaplan, J. (2016) · Communications of the ACM

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 35

LLM technologies and information search

Liu, L., Meng, J., & Yang, Y. (2024) · Journal of Economy and Technology

Information Retrieval and Search BehaviorAI in Service Interactions

Cited by 35

Information security aspects of Industry 4.0

Kiss, M., Breda, G., & Muha, L. (2019) · Procedia Manufacturing

Information and Cyber SecurityDigital Transformation in Industry

Cited by 35

You Name It, I Run It: An LLM Agent to Execute Tests of Arbitrary Projects

Bouzenia, I., & Pradel, M. (2025) · Proceedings of the ACM on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 35

Efficient GPU implementation of the particle-in-cell/Monte-Carlo collisions method for 1D simulation of low-pressure capacitively coupled plasmas

Juhasz, Z., Ďurian, J., Derzsi, A., Matejčík, Š., Donkó, Z., & Hartmann, P. (2021) · Computer Physics Communications

Parallel Computing and Optimization TechniquesLow-Pressure Plasma Processing and Diagnostics

Cited by 35

New SVD-based collaborative filtering algorithms with differential privacy

Xian, Z., Li, Q., Huang, X., & Li, L. (2017) · Journal of Intelligent & Fuzzy Systems

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 35

Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow

Mei, Y., Zhuang, Y., Miao, X., Yang, J., Jia, Z., & Vinayak, R. (2025) · Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 35

TimeR4 : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering

Qian, X., Zhang, Y., Zhao, Y., Zhou, B., Sui, X., Zhang, L., & Song, K. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingAdvanced Graph Neural Networks

Cited by 35

Traducción y adaptación transcultural al español del Simulator Sickness Questionnaire (Translation and cross-cultural adaptation to Spanish of the Simulator Sickness Questionnaire)

Campo-Prieto, P., Rodríguez-Fuentes, G., & Cancela Carral, J. M. (2021) · Retos

Virtual Reality Applications and ImpactsHealth Education and Validation

Cited by 35