Check computer science papers: citations, claims and retractions

Intelligent Phishing Website Detection System using Fuzzy Techniques

Aburrous, M., Hossain, M. A., Thabatah, F., & Dahal, K. (2008) · 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications

Spam and Phishing DetectionUser Authentication and Security Systems

Cited by 68

Explainable AI In Education : Current Trends, Challenges, And Opportunities

Rachha, A., & Seyam, M. (2023) · SoutheastCon 2023

Explainable Artificial Intelligence (XAI)Online Learning and Analytics

Cited by 68

A User-centered Framework for Human-AI Co-creativity

Moruzzi, C., & Margarido, S. (2024) · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 68

Learning Spatiotemporal Failure Dependencies for Resilient Edge Computing Services

Aral, A., & Brandic, I. (2021) · IEEE Transactions on Parallel and Distributed Systems

Distributed systems and fault toleranceIoT and Edge/Fog Computing

Cited by 68

On the Adversarial Robustness of Vision Transformers

Shao, R., Shi, Z., Yi, J., Chen, P.-Y., & Hsieh, C.-J. (2021) · arXiv

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 68

Controller placement and flow based dynamic management problem towards SDN

Yao, L., Hong, P., Zhang, W., Li, J., & Ni, D. (2015) · 2015 IEEE International Conference on Communication Workshop (ICCW)

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 68

Vehicle Detection and Classification via YOLOv8 and Deep Belief Network over Aerial Image Sequences

Al Mudawi, N., Qureshi, A. M., Abdelhaq, M., Alshahrani, A., Alazeb, A., Alonazi, M., & Algarni, A. (2023) · Sustainability

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 68

New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities

Kamruzzaman, M. M., Alrashdi, I., & Alqazzaz, A. (2022) · Journal of Healthcare Engineering

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 68

LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

Dinh, T., Zeng, Y., Zhang, R., Lin, Z., Gira, M., Rajput, S., Sohn, J.-Y., Papailiopoulos, D., & Lee, K. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 67

On the Nature of Merge Conflicts: A Study of 2,731 Open Source Java Projects Hosted by GitHub

Ghiotto, G., Murta, L., Barros, M., & van der Hoek, A. (2020) · IEEE Transactions on Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 67

Fedface: Collaborative learning of face recognition model

Aggarwal, D., Zhou, J., & Jain, A. K. (2021) · 2021 IEEE International Joint Conference on Biometrics (IJCB)

Privacy-Preserving Technologies in DataFace recognition and analysis

Cited by 67

Clinical Data in Context: Towards Sensemaking Tools for Interpreting Personal Health Data

Raj, S., Lee, J. M., Garrity, A., & Newman, M. W. (2019) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Data Visualization and AnalyticsInnovative Human-Technology Interaction

Cited by 67

StoryCoder: Teaching Computational Thinking Concepts Through Storytelling in a Voice-Guided App for Children

Dietz, G., Le, J. K., Tamer, N., Han, J., Gweon, H., Murnane, E. L., & Landay, J. A. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Teaching and Learning ProgrammingChild Development and Digital Technology

Cited by 67

Five enunciations of empowerment in participatory design

Ertner, M., Kragelund, A. M., & Malmborg, L. (2010) · Proceedings of the 11th Biennial Participatory Design Conference

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 67

Biases in Generative Art: A Causal Look from the Lens of Art History

Srinivasan, R., & Uchino, K. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIGenerative Adversarial Networks and Image Synthesis

Cited by 67

A Review: Object Detection Models

Shetty, A. K., Saha, I., Sanghvi, R. M., Save, S. A., & Patel, Y. J. (2021) · 2021 6th International Conference for Convergence in Technology (I2CT)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 67

Softedgenet: SDN based energy-efficient distributed network architecture for edge computing

Sharma, P. K., Rathore, S., Jeong, Y.-S., & Park, J. H. (2018) · IEEE Communications Magazine

IoT and Edge/Fog ComputingSoftware-Defined Networks and 5G

Cited by 67

RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models

Xia, P., Zhu, K., Li, H., Zhu, H., Li, Y., Li, G., Zhang, L., & Yao, H. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 67

Competitive Spectrum Access in Cognitive Radio Networks: Graphical Game and Learning

Li, H., & Han, Z. (2010) · 2010 IEEE Wireless Communication and Networking Conference

Cognitive Radio Networks and Spectrum SensingWireless Communication Networks Research

Cited by 67

iCaps-Dfake: An Integrated Capsule-Based Model for Deepfake Image and Video Detection

Khalil, S. S., Youssef, S. M., & Saleh, S. N. (2021) · Future Internet

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 67

Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models

Tirumala, K., Markosyan, A., Zettlemoyer, L., & Aghajanyan, A. (2022) · Advances in Neural Information Processing Systems 35

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 67

Playing with Perspectives and Unveiling the Autoethnographic Kaleidoscope in HCI – A Literature Review of Autoethnographies

Kaltenhauser, A., Stefanidi, E., & Schöning, J. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionPosthumanist Ethics and Activism

Cited by 67

A Deep Learning Solution for Automatic Fetal Neurosonographic Diagnostic Plane Verification Using Clinical Standard Constraints

Yaqub, M., Kelly, B., Papageorghiou, A. T., & Noble, J. A. (2017) · Ultrasound in Medicine & Biology

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 67

Quantum error correction of observables

Bény, C., Kempf, A., & Kribs, D. W. (2007) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 67