Check computer science papers: citations, claims and retractions

Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented Large Language Models

Aksitov, R., Chang, C.-C., Reitter, D., Shakeri, S., & Sung, Y. (2023) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 9

Supporting Requesters in Writing Clear Crowdsourcing Task Descriptions Through Computational Flaw Assessment

Nouri, Z., Prakash, N., Gadiraju, U., & Wachsmuth, H. (2023) · Proceedings of the 28th International Conference on Intelligent User Interfaces

Mobile Crowdsensing and CrowdsourcingNatural Language Processing Techniques

Cited by 9

How Much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?

Dhekane, S. G., Haresamudram, H., Thukral, M., & Plötz, T. (2023) · Proceedings of the 2023 International Symposium on Wearable Computers

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

Cited by 9

An Outline for an Interrogative/Prompt Library to help improve output quality from Generative-AI Datasets

Svendsen, A., & Garvey, B. (2023) · SSRN Electronic Journal

Topic ModelingArtificial Intelligence Applications

Cited by 9

Measurement of laryngeal elevation by automated segmentation using Mask R-CNN

Lee, H. H., Kwon, B. M., Yang, C.-K., Yeh, C.-Y., & Lee, J. (2021) · Medicine

Medical Image Segmentation TechniquesDysphagia Assessment and Management

Cited by 9

Reducing Order Enforcement Cost in Complex Query Plans

Guravannavar, R., Sudarshan, S., Diwan, A. A., & Babu, C. S. (2006) · arXiv

Advanced Database Systems and QueriesData Management and Algorithms

Cited by 9

Revisiting Training-free NAS Metrics: An Efficient Training-based Method

Yang, T., Yang, L., Jin, X., & Chen, C. (2023) · 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 9

Handling Polymorphic Algebraic Effects

Sekiyama, T., & Igarashi, A. (2019) · Lecture Notes in Computer Science

Logic, programming, and type systemsAdvanced Algebra and Logic

Cited by 9

Toward Attention-Based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow

Wiese, P., İslamoğlu, G., Scherer, M., Macan, L., Jung, V. J.-B., Burrello, A., Conti, F., & Benini, L. (2025) · IEEE Design & Test

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 9

CryptoRec: Novel Collaborative Filtering Recommender Made Privacy-Preserving Easy

Wang, J., Jin, C., Tang, Q., Liu, Z., & Aung, K. M. M. (2022) · IEEE Transactions on Dependable and Secure Computing

Recommender Systems and TechniquesPrivacy-Preserving Technologies in Data

Cited by 9

Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks

Tao, H., Zhang, Y., Tang, Z., Peng, H., Zhu, X., Liu, B., Yang, Y., Zhang, Z., Xu, Z., Zhang, H., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 9

Blockchain-Facilitated Cybersecurity for Ubiquitous Internet of Things with Space–Air–Ground Integrated Networks: A Survey

Zhao, W., Yang, S., & Luo, X. (2025) · Sensors

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 9

Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction

Islam, N., & Zulkernine, M. (2025) · arXiv

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 9

Privacy Preserving Services for Intelligent Transportation Systems with Homomorphic Encryption

Boudguiga, A., Stan, O., Fazzat, A., Labiod, H., & Clet, P.-E. (2021) · Proceedings of the 7th International Conference on Information Systems Security and Privacy

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 9

This PIN Can Be Easily Guessed: Analyzing the Security of Smartphone Unlock PINs

Markert, P., Bailey, D. V., Golla, M., Durmuth, M., & Aviv, A. J. (2020) · 2020 IEEE Symposium on Security and Privacy (SP)

User Authentication and Security SystemsInformation and Cyber Security

Cited by 9

Warming up recurrent neural networks to maximise reachable multistability greatly improves learning

Lambrechts, G., De Geeter, F., Vecoven, N., Ernst, D., & Drion, G. (2021) · arXiv

Neural Networks and ApplicationsNeural Networks and Reservoir Computing

Cited by 9

Developer productivity for humans, part 8: Creativity in software engineering

Inman, S., D’Angelo, S., & Vasilescu, B. (2024) · IEEE Software

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 9

Evaluation of Rust code verbosity, understandability and complexity

Ardito, L., Barbato, L., Coppola, R., & Valsesia, M. (2021) · PeerJ Computer Science

Software Engineering ResearchLogic, programming, and type systems

Cited by 9

Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons

Li, W., Hsu, C.-Y., Wang, S., Witharana, C., & Liljedahl, A. (2022) · Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery

Advanced Neural Network ApplicationsRemote-Sensing Image Classification

Cited by 9

Data Quality: Empowering Businesses with Analytics and AI

Southekal, P. H. (2023) · Wiley eBooks

Data Quality and ManagementBig Data and Business Intelligence

Cited by 9

Dynamic Workload Prediction for Soft Real-Time Applications

Kluge, F., Uhrig, S., Mische, J., Satzger, B., & Ungerer, T. (2010) · 2010 10th IEEE International Conference on Computer and Information Technology

Real-Time Systems SchedulingParallel Computing and Optimization Techniques

Cited by 9

MFRL-CA: Microservice Fault Root Cause Location based on Correlation Analysis

Chen, Y., Chen, N., Xu, W., Lian, L., & Tu, H. (2021) · 2021 8th International Conference on Dependable Systems and Their Applications (DSA)

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 9

Investigating the Influential Factors for Practical Application of Multi-Class Vehicle Detection for Images from Unmanned Aerial Vehicle using Deep Learning Models

Ham, S. W., Park, H.-C., Kim, E.-J., Kho, S.-Y., & Kim, D.-K. (2020) · Transportation Research Record: Journal of the Transportation Research Board

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 9

Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network

Subramanian, T., Dhyani, A., Kumar, A., & Gill, S. S. (2022) · CRC Press eBooks

Quantum Computing Algorithms and ArchitectureBlockchain Technology Applications and Security

Cited by 9