Check computer science papers: citations, claims and retractions

Vulnerabilities to Online Social Network Identity Deception Detection Research and Recommendations for Mitigation

Ismailov, M., Tsikerdekis, M., & Zeadally, S. (2020) · Future Internet

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 6

Multimodal social media video classification with deep neural networks

Trzcinski, T. (2018) · Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 6

"Reminder: please update your details": Phishing Trends

Dhinakaran, C., Lee, J. K., & Nagamalai, D. (2009) · 2009 First International Conference on Networks & Communications

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 6

Comprehensive Review of Artificial General Intelligence AGI, Agentic AI and GenAI: Current Trends and Future Directions

Joshi, S. (2025) · International Journal of Multidisciplinary Research and Growth Evaluation

Artificial Intelligence ApplicationsPsychiatry, Mental Health, Neuroscience

Cited by 6

Analyzing Cyberbullying Negative Content on Twitter Social Media with the RoBERTa Method

Yani, M. A. A., & Maharani, W. (2023) · JINAV: Journal of Information and Visualization

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 6

Interpretable and Differentially Private Predictions

Harder, F., Bauer, M., & Park, M. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Privacy-Preserving Technologies in Data

Cited by 6

Choice Set Misspecification in Reward Inference

Freedman, R., Shah, R., & Dragan, A. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 6

Gentopia: A Collaborative Platform for Tool-Augmented LLMs

Xu, B., Liu, X., Shen, H., Han, Z., Li, Y., Yue, M., Peng, Z., Liu, Y., Yao, Z., & Xu, D. (2023) · arXiv

Natural Language Processing TechniquesArtificial Intelligence Applications

Cited by 6

Towards Explainable Recommendation Via Bert-Guided Explanation Generator

Zhan, H., Li, L., Li, S., Liu, W., Gupta, M., & Kot, A. C. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Recommender Systems and TechniquesExplainable Artificial Intelligence (XAI)

Cited by 6

Classifying Clinical Work Settings Using EHR Audit Logs: A Machine Learning Approach

Kim, S. (2023) · The American Journal of Managed Care

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 6

Good Vibrations? A Qualitative Study of Co-Creation, Communication, Flow, and Trust in Vibe Coding

Pimenova, V., Fakhoury, S., Bird, C., Storey, M.-A., & Endres, M. (2025) · arXiv

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 6

Visual saliency guided perceptual adaptive quantization based on HEVC intra-coding for planetary images

Dai, Y., Xue, C., & Zhou, L. (2022) · PLOS ONE

Advanced Data Compression TechniquesVideo Coding and Compression Technologies

Cited by 6

Elucidating image-to-set prediction: An analysis of models, losses and datasets

Pineda, L., Salvador, A., Drozdzal, M., & Romero, A. (2019) · arXiv

Advanced Neural Network ApplicationsMultimodal Machine Learning Applications

Cited by 6

Mitigating Sycophancy in Large Language Models via Direct Preference Optimization

Khan, A. A., Alam, S., Wang, X., Khan, A. F., Neog, D. R., & Anwar, A. (2024) · 2024 IEEE International Conference on Big Data (BigData)

Ethics and Social Impacts of AITopic Modeling

Cited by 6

Prioritizing quantum computing use cases in the drug discovery and development pipeline

Kovyrshin, A., Tornberg, L., Crain, J., Mensa, S., Tavernelli, I., & Broo, A. (2025) · Drug Discovery Today

Quantum Computing Algorithms and ArchitectureComputational Drug Discovery Methods

Cited by 6

FedVPS: Federated Learning for Privacy and Security of Internet of Vehicles on Non-IID Data

Hangdong, K., Bo, M., Darong, H., & Zhaoyang, D. (2023) · 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)

Privacy-Preserving Technologies in DataVehicular Ad Hoc Networks (VANETs)

Cited by 6

Quality and Relevance Metrics for Selection of Multimodal Pretraining Data

Rao, R., Rao, S., Nouri, E., Dey, D., Celikyilmaz, A., & Dolan, B. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 6

Over-Reasoning and Redundant Calculation of Large Language Models

Chiang, C.-H., & Lee, H.-Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

An Architecture for Distributing and Enforcing IoT Security at the Network Edge

Deri, L., & Del Soldato, A. (2018) · 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)

IoT and Edge/Fog ComputingNetwork Security and Intrusion Detection

Cited by 6

The Learning Style Decoder: FSLSM-Guided Behavior Mapping Meets Deep Neural Prediction in LMS Settings

Angeioplastis, A., Aliprantis, J., Konstantakis, M., Varsamis, D., & Tsimpiris, A. (2025) · Computers

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 6

Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews

Vasu, S. S. M., Sheth, I., Wang, H.-P., Binkyte, R., & Fritz, M. (2025) · arXiv

Ethics and Social Impacts of AIscientometrics and bibliometrics research

Cited by 6

Generating Natural Questions from Images for Multimodal Assistants

Patel, A., Bindal, A., Kotek, H., Klein, C., & Williams, J. (2021) · ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 6

IoT Expunge: Implementing Verifiable Retention of IoT Data

Panwar, N., Sharma, S., Gupta, P., Ghosh, D., Mehrotra, S., & Venkatasubramanian, N. (2020) · Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 6

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

Macko, D., Moro, R., Uchendu, A., Srba, I., Lucas, J. S., Yamashita, M., Tripto, N. I., Lee, D., Simko, J., & Bielikova, M. (2024) · arXiv

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 6