Check computer science papers: citations, claims and retractions

Repository-Level Prompt Generation for Large Language Models of Code

Shrivastava, D., Larochelle, H., & Tarlow, D. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 27

Detection of Cyber Grooming in Online Conversation

Bours, P., & Kulsrud, H. (2019) · 2019 IEEE International Workshop on Information Forensics and Security (WIFS)

Hate Speech and Cyberbullying DetectionText and Document Classification Technologies

Cited by 27

Bone enhancement in ultrasound using local spectrum variations for guiding percutaneous scaphoid fracture fixation procedures

Anas, E. M. A., Seitel, A., Rasoulian, A., John, P. S., Pichora, D., Darras, K., Wilson, D., Lessoway, V. A., Hacihaliloglu, I., Mousavi, P., et al. (2015) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 27

Clustering method for counting passengers getting in a bus with single camera

Yang, T., Zhang, Y., Shao, D., & Li, Y. (2010) · Optical Engineering

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 27

Language Contamination Helps Explains the Cross-lingual Capabilities of English Pretrained Models

Blevins, T., & Zettlemoyer, L. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 27

Metaverse ethics: exploring the social implications of the metaverse

Yasuda, A. (2025) · AI and Ethics

Ethics and Social Impacts of AICultural Studies and Postmodernism

Cited by 27

Fast distributed coordinate descent for non-strongly convex losses

Fercoq, O., Qu, Z., Richtarik, P., & Takac, M. (2014) · 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

Stochastic Gradient Optimization TechniquesStatistical Methods and Inference

Cited by 27

M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Cui, Z., Ma, J., Zhou, C., Zhou, J., & Yang, H. (2022) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 27

Augmented Robotics Dialog System for Enhancing Human-Robot Interaction

Alonso-Martín, F., Castro-González, A., Luengo, F., & Salichs, M. (2015) · Sensors

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 27

Improving the Segmentation Accuracy of Ovarian-Tumor Ultrasound Images Using Image Inpainting

Chen, L., Qiao, C., Wu, M., Cai, L., Yin, C., Yang, M., Sang, X., & Bai, W. (2023) · Bioengineering

Medical Image Segmentation TechniquesGenerative Adversarial Networks and Image Synthesis

Cited by 27

Clinical prediction models using machine learning in oncology: challenges and recommendations

Collins, G. S., Chester-Jones, M., Gerry, S., Ma, J., Matos, J., Sehjal, J., Tsegaye, B., & Dhiman, P. (2025) · BMJ Oncology

Machine Learning in HealthcareStatistical Methods in Epidemiology

Cited by 27

Performance Analysis of Encryption Techniques Based on Avalanche effect and Strict Avalanche Criterion

Sanap, S. D., & More, V. (2021) · 2021 3rd International Conference on Signal Processing and Communication (ICPSC)

Cryptographic Implementations and SecurityChaos-based Image/Signal Encryption

Cited by 27

Fuzzy soft skills assessment through active learning sessions

Novais, A. S. D., Matelli, J. A., & Silva, M. B. (2024) · International Journal of Artificial Intelligence in Education

Edcuational Technology SystemsEducational Technology and Assessment

Cited by 27

Leveraging Equivariant Features for Absolute Pose Regression

Musallam, M. A., Gaudilliere, V., Del Castillo, M. O., Al Ismaeil, K., & Aouada, D. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 27

Overview and Results: CL-SciSumm Shared Task 2019

Chandrasekaran, M. K., Yasunaga, M., Radev, D., Freitag, D., & Kan, M.-Y. (2019) · arXiv

Advanced Text Analysis TechniquesTopic Modeling

Cited by 27

Investigating generative AI models and detection techniques: impacts of tokenization and dataset size on identification of AI-generated text

Hua, H., & Yao, C.-J. (2024) · Frontiers in Artificial Intelligence

Authorship Attribution and ProfilingAcademic integrity and plagiarism

Cited by 27

Securing Voice-Driven Interfaces Against Fake (Cloned) Audio Attacks

Malik, H. (2019) · 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 27

Smart Experts for Network State Estimation

Edalat, Y., Ahn, J.-S., & Obraczka, K. (2016) · IEEE Transactions on Network and Service Management

Network Traffic and Congestion ControlSoftware-Defined Networks and 5G

Cited by 27

IoT Data Qualification for a Logistic Chain Traceability Smart Contract

Ahmed, M., Taconet, C., Ould, M., Chabridon, S., & Bouzeghoub, A. (2021) · Sensors

Blockchain Technology Applications and SecurityData Quality and Management

Cited by 27

Developing an AI-Assisted Low-Resource Spoken Language Learning App for Children

Getman, Y., Phan, N., Al-Ghezi, R., Voskoboinik, E., Singh, M., Grósz, T., Kurimo, M., Salvi, G., Svendsen, T., Strömbergsson, S., et al. (2023) · IEEE Access

Speech Recognition and SynthesisPhonetics and Phonology Research

Cited by 27

Large language model (LLM) for software security: Code analysis, malware analysis, reverse engineering

Jelodar, H., Bai, S., Hamedi, P., Mohammadian, H., Razavi-Far, R., & Ghorbani, A. (2026) · Journal of Information Security and Applications

Advanced Malware Detection TechniquesSoftware Engineering Research

Cited by 27

Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution

Chen, Z., Long, F., Qiu, Z., Yao, T., Zhou, W., Luo, J., & Mei, T. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image Processing TechniquesGenerative Adversarial Networks and Image Synthesis

Cited by 27

Focus-shifting patterns of OSS developers and their congruence with call graphs

Xuan, Q., Okano, A., Devanbu, P., & Filkov, V. (2014) · Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering

Software Engineering ResearchOpen Source Software Innovations

Cited by 27

Combining Conceptual Frameworks on Maternal Health in Indigenous Communities—Fuzzy Cognitive Mapping Using Participant and Operator-independent Weighting

Sarmiento, I., Cockcroft, A., Dion, A., Paredes-Solís, S., De Jesús-García, A., Melendez, D., Marie Chomat, A., Zuluaga, G., Meneses-Rentería, A., & Andersson, N. (2022) · Field Methods

Cognitive Science and MappingDelphi Technique in Research

Cited by 27