Check computer science papers: citations, claims and retractions

Rethinking college students’ self-regulation and sustained attention: Does text messaging during class influence cognitive learning?

Wei, F.-Y. F., Wang, Y. K., & Klausner, M. (2012) · Communication Education

Mobile Learning in EducationImpact of Technology on Adolescents

Cited by 202

A Taxonomy of Attacks and a Survey of Defence Mechanisms for Semantic Social Engineering Attacks

Heartfield, R., & Loukas, G. (2016) · ACM Computing Surveys

Spam and Phishing DetectionInformation and Cyber Security

Cited by 202

Machine learning approach of automatic identification and counting of blood cells

Alam, M. M., & Islam, M. T. (2019) · Healthcare Technology Letters

Digital Imaging for Blood DiseasesCell Image Analysis Techniques

Cited by 202

Deep convolutional neural network for segmentation of knee joint anatomy

Zhou, Z., Zhao, G., Kijowski, R., & Liu, F. (2018) · Magnetic Resonance in Medicine

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 202

CogAgent: A Visual Language Model for GUI Agents

Hong, W., Wang, W., Lv, Q., Xu, J., Yu, W., Ji, J., Wang, Y., Wang, Z., Dong, Y., Ding, M., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsInformation Retrieval and Search Behavior

Cited by 202

A Critical Lens on Dementia and Design in HCI

Lazar, A., Edasis, C., & Piper, A. M. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionTechnology Use by Older Adults

Cited by 202

Generalized Isolation Forest for Anomaly Detection

Lesouple, J., Baudoin, C., Spigai, M., & Tourneret, J.-Y. (2021) · Pattern Recognition Letters

Anomaly Detection Techniques and ApplicationsArtificial Immune Systems Applications

Cited by 202

Explainable artificial intelligence (XAI) for intrusion detection and mitigation in intelligent connected vehicles: a review

Nwakanma, C. I., Ahakonye, L. A. C., Njoku, J. N., Odirichukwu, J. C., Okolie, S. A., Uzondu, C., Ndubuisi Nweke, C. C., & Kim, D.-S. (2023) · Applied Sciences

Network Security and Intrusion DetectionExplainable Artificial Intelligence (XAI)

Cited by 202

How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

Hendy, A., Abdelrehim, M., Sharaf, A., Raunak, V., Gabr, M., Matsushita, H., Kim, Y. J., Afify, M., & Awadalla, H. H. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 202

Emotion Recognition Based on Joint Visual and Audio Cues

Sebe, N., Cohen, I., Gevers, T., & Huang, T. S. (2006) · 18th International Conference on Pattern Recognition (ICPR'06)

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 202

Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition

Guo, T., Liu, H., Chen, Z., Liu, M., Wang, T., & Ding, R. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Human Pose and Action RecognitionHuman Motion and Animation

Cited by 202

How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models

Rust, P., Pfeiffer, J., Vulić, I., Ruder, S., & Gurevych, I. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 202

Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization

Cao, Z., Li, W., Li, S., & Wei, F. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 202

Why and how to embrace AI such as ChatGPT in your academic life

Lin, Z. (2023) · Royal Society Open Science

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 202

The impact of stakeholders' geographical distribution on managing requirements in a multi-site organization

Damian, D. E., & Zowghi, D. (2002) · Proceedings IEEE Joint International Conference on Requirements Engineering ICRE-02

Software Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Cited by 202

AutoCodeRover: Autonomous Program Improvement

Zhang, Y., Ruan, H., Fan, Z., & Roychoudhury, A. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 202

DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection

Rieger, P., Nguyen, T. D., Miettinen, M., & Sadeghi, A.-R. (2022) · Proceedings 2022 Network and Distributed System Security Symposium

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 202

Why and how to embrace AI such as ChatGPT in your academic life

Lin, Z. (2023) · Royal Society Open Science

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 202

Quantum annealing versus classical machine learning applied to a simplified computational biology problem

Li, R. Y., Di Felice, R., Rohs, R., & Lidar, D. A. (2018) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureDNA and Biological Computing

Cited by 202

Impact of Code Language Models on Automated Program Repair

Jiang, N., Liu, K., Lutellier, T., & Tan, L. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 202

Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization

Hughes, N., Chang, Y., & Carlone, L. (2022) · Robotics: Science and Systems XVIII

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 202

Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild

Liu, M., Wang, R., Li, S., Shan, S., Huang, Z., & Chen, X. (2014) · Proceedings of the 16th International Conference on Multimodal Interaction

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 202

Can GPT-3 pass a writer’s turing test?

Elkins, K., & Chun, J. (2020) · Journal of Cultural Analytics

Topic ModelingNatural Language Processing Techniques

Cited by 202

Machine learning based encrypted traffic classification: Identifying SSH and Skype

Alshammari, R., & Zincir-Heywood, A. N. (2009) · 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 202