Check computer science papers: citations, claims and retractions

A heterogeneous stacking ensemble based sentiment analysis framework using multiple word embeddings

Subba, B., & Kumari, S. (2022) · Computational Intelligence

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 41

Data Sharing and Reanalyses Among Randomized Clinical Trials Published in Surgical Journals Before and After Adoption of a Data Availability and Reproducibility Policy

Bergeat, D., Lombard, N., Gasmi, A., Le Floch, B., & Naudet, F. (2022) · JAMA Network Open

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 41

Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey

Wang, Z., Kang, Q., Zhang, X., & Hu, Q. (2022) · 2022 IEEE Wireless Communications and Networking Conference (WCNC)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 41

HalluLens: LLM Hallucination Benchmark

Bang, Y., Ji, Z., Schelten, A., Hartshorn, A., Fowler, T., Zhang, C., Cancedda, N., & Fung, P. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 41

Parameter Setting in Quantum Approximate Optimization of Weighted Problems

Sureshbabu, S. H., Herman, D., Shaydulin, R., Basso, J., Chakrabarti, S., Sun, Y., & Pistoia, M. (2024) · Quantum

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 41

Iterative rework: the good, the bad, and the ugly

Fairley, R. E., & Willshire, M. J. (2005) · Computer

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 41

Privacy in the Time of Language Models

Peris, C., Dupuy, C., Majmudar, J., Parikh, R., Smaili, S., Zemel, R., & Gupta, R. (2023) · Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 41

Free software production as critical social practice

Barron, A. (2013) · Economy and Society

Open Source Software InnovationsPolitical Economy and Marxism

Cited by 41

Quantitative comparison and performance evaluation of deep learning-based object detection models on edge computing devices

Lema, D. G., Usamentiaga, R., & García, D. F. (2024) · Integration

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 41

SciBERT: A Pretrained Language Model for Scientific Text

Beltagy, I., Lo, K., & Cohan, A. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 41

Evaluation of several variable FIR fractional-sample delay filters

Cain, G. D., Murphy, N. P., & Tarczynski, A. (2002) · Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing

Digital Filter Design and ImplementationAdvanced Adaptive Filtering Techniques

Cited by 41

Generating High Fidelity Data from Low-density Regions using Diffusion Models

Sehwag, V., Hazirbas, C., Gordo, A., Ozgenel, F., & Ferrer, C. C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 41

GeoLLM: Extracting Geospatial Knowledge from Large Language Models

Manvi, R., Khanna, S., Mai, G., Burke, M., Lobell, D., & Ermon, S. (2023) · arXiv

Topic ModelingHuman Mobility and Location-Based Analysis

Cited by 41

Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection

Arabzadeh, N., Yan, X., & Clarke, C. L. A. (2021) · Proceedings of the 30th ACM International Conference on Information & Knowledge Management

Information Retrieval and Search BehaviorTopic Modeling

Cited by 41

Time Waits for No One! Analysis and Challenges of Temporal Misalignment

Luu, K., Khashabi, D., Gururangan, S., Mandyam, K., & Smith, N. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Natural Language Processing TechniquesTopic Modeling

Cited by 41

Error Correction of Quantum Reference Frame Information

Hayden, P., Nezami, S., Popescu, S., & Salton, G. (2021) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 41

An Efficient Load Balancing Method by Using Machine Learning-Based VM Distribution and Dynamic Resource Mapping

Lilhore, U. K., Simaiya, S., Guleria, K., & Prasad, D. (2020) · Journal of Computational and Theoretical Nanoscience

Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems

Cited by 41

Diet code is healthy: simplifying programs for pre-trained models of code

Zhang, Z., Zhang, H., Shen, B., & Gu, X. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 41

Using AI Assistants in Software Development: A Qualitative Study on Security Practices and Concerns. -

Klemmer, J. H., Horstmann, S. A., Patnaik, N., Ludden, C., Burton, C., Powers, C., Massacci, F., Rahman, A., Votipka, D., Lipford, H. R., et al. (2024) · Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security

Software Engineering ResearchWeb Application Security Vulnerabilities

Cited by 41

ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond

Qiao, S., Shen, W., Qiu, W., Liu, C., & Yuille, A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 41

Social Organization of Household Finance: Understanding Artful Financial Systems in the Home

Vyas, D., Snow, S., Roe, P., & Brereton, M. (2016) · Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing

Innovative Human-Technology InteractionFinancial Literacy, Pension, Retirement Analysis

Cited by 41

AI or Human: The Socio-ethical Implications of AI-Generated Media Content

Partadiredja, R. A., Entrena-Serrano, C., & Ljubenkov, D. (2020) · 2020 13th CMI Conference on Cybersecurity and Privacy (CMI) - Digital Transformation - Potentials and Challenges(51275)

Ethics and Social Impacts of AITechnology's Impact on Media

Cited by 41

A Unified Federated Learning Framework for Wireless Communications: towards Privacy, Efficiency, and Security

Wen, H., Wu, Y., Yang, C., Duan, H., & Yu, S. (2020) · IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 41

Generalized Multimodal ELBO

Sutter, T. M., Daunhawer, I., & Vogt, J. E. (2021) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 41