Check computer science papers: citations, claims and retractions

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies

Tang, Y., Zhang, R., Guo, J., Chen, J., Zhu, Z., Wang, S., Yin, D., & Cheng, X. (2023) · Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Information Retrieval and Search BehaviorTopic Modeling

Cited by 29

Cross-document Coreference Resolution over Predicted Mentions

Cattan, A., Eirew, A., Stanovsky, G., Joshi, M., & Dagan, I. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Natural Language Processing TechniquesTopic Modeling

Cited by 29

The quantified self for learning: critical questions for education

Eynon, R. (2015) · Learning, Media and Technology

Online Learning and AnalyticsDigital Education and Society

Cited by 29

Redefining 6G Network Slicing: AI-Driven Solutions for Future Use Cases

Botez, R., Zinca, D., & Dobrota, V. (2025) · Electronics

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 29

Toward Quantum Gate-Model Heuristics for Real-World Planning Problems

Stollenwerk, T., Hadfield, S., & Wang, Z. (2020) · IEEE Transactions on Quantum Engineering

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 29

Crowd Analysis in Video Surveillance: A Review

Tomar, A., Kumar, S., & Pant, B. (2022) · 2022 International Conference on Decision Aid Sciences and Applications (DASA)

Video Surveillance and Tracking MethodsEvacuation and Crowd Dynamics

Cited by 29

Consequences of Many-Cell Correlations in Clocked Quantum-Dot Cellular Automata

Taucer, M., Karim, F., Walus, K., & Wolkow, R. A. (2015) · IEEE Transactions on Nanotechnology

Quantum-Dot Cellular AutomataCellular Automata and Applications

Cited by 29

Balancing Privacy and Accuracy: Exploring the Impact of Data Anonymization on Deep Learning Models in Computer Vision

Lee, J. H., & You, S. J. (2024) · IEEE Access

Privacy-Preserving Technologies in DataAdvanced Neural Network Applications

Cited by 29

Agentic Systems: A Guide to Transforming Industries with Vertical AI Agents

Bousetouane, F. (2025) · Qeios

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 29

Suitability of NFC for Medical Device Communication and Power Delivery

Freudenthal, E., Herrera, D., Kautz, F., Natividad, C., Ogrey, A., Sipla, J., Sosa, A., Betancourt, C., & Estevez, L. (2007) · 2007 IEEE Dallas Engineering in Medicine and Biology Workshop

RFID technology advancementsWireless Body Area Networks

Cited by 29

NN-RED: an AQM mechanism based on neural networks

Hariri, B., & Sadati, N. (2007) · Electronics Letters

Network Traffic and Congestion ControlSoftware-Defined Networks and 5G

Cited by 29

Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks

Okai, J., Paraschiakos, S., Beekman, M., Knobbe, A., & de Sa, C. R. (2019) · 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 29

KTO: Model Alignment as Prospect Theoretic Optimization

Ethayarajh, K., Xu, W., Muennighoff, N., Jurafsky, D., & Kiela, D. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 29

The Unreasonable Fundamental Incertitudes Behind Bitcoin Mining

Courtois, N. T., Grajek, M., & Naik, R. (2013) · arXiv

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 29

Edge computing enabled smart firefighting: opportunities and challenges

Wu, X., Dunne, R., Zhang, Q., & Shi, W. (2017) · Proceedings of the fifth ACM/IEEE Workshop on Hot Topics in Web Systems and Technologies

IoT and Edge/Fog ComputingFire Detection and Safety Systems

Cited by 29

Time Travel in LLMs: Tracing Data Contamination in Large Language Models

Golchin, S., & Surdeanu, M. (2023) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 29

Privacy preserving and secure robust federated learning: A survey

Han, Q., Lu, S., Wang, W., Qu, H., Li, J., & Gao, Y. (2024) · Concurrency and Computation: Practice and Experience

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 29

The role of bodily self-consciousness in episodic memory of naturalistic events: an immersive virtual reality study

Penaud, S., Yeh, D., Gaston-Bellegarde, A., & Piolino, P. (2023) · Scientific Reports

Virtual Reality Applications and ImpactsMemory Processes and Influences

Cited by 29

CAAT: Image super-resolution algorithm via channel attention and transformer

Chen, Y., Chen, L., Xia, R., Yang, K., & Zou, K. (2025) · Array

Advanced Image Processing TechniquesImage Enhancement Techniques

Cited by 29

CMNet: A Connect-and-Merge Convolutional Neural Network for Fast Vehicle Detection in Urban Traffic Surveillance

Zhang, F., Yang, F., Li, C., & Yuan, G. (2019) · IEEE Access

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 29

Logical reduction of metarules

Cropper, A., & Tourret, S. (2020) · Machine Learning

Logic, Reasoning, and KnowledgeData Mining Algorithms and Applications

Cited by 29

How the R community creates and curates knowledge: a comparative study of stack overflow and mailing lists

Zagalsky, A., Teshima, C. G., German, D. M., Storey, M.-A., & Poo-Caamaño, G. (2016) · Proceedings of the 13th International Conference on Mining Software Repositories

Expert finding and Q&A systemsKnowledge Management and Sharing

Cited by 29

Evaluating Large Language Models on Controlled Generation Tasks

Sun, J., Tian, Y., Zhou, W., Xu, N., Hu, Q., Gupta, R., Wieting, J., Peng, N., & Ma, X. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 29

Large Language Models Are Not Robust Multiple Choice Selectors

Zheng, C., Zhou, H., Meng, F., Zhou, J., & Huang, M. (2023) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 29