Check computer science papers: citations, claims and retractions

Temporal Knowledge Graph Completion: A Survey

Cai, B., Xiang, Y., Gao, L., Zhang, H., Li, Y., & Li, J. (2023) · Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Advanced Graph Neural NetworksRecommender Systems and Techniques

Cited by 133

Graph Unlearning

Chen, M., Zhang, Z., Wang, T., Backes, M., Humbert, M., & Zhang, Y. (2022) · Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 133

Using Augmented Reality to Stimulate Students and Diffuse Escape Game Activities to Larger Audiences

Estudante, A., & Dietrich, N. (2020) · Journal of Chemical Education

Augmented Reality ApplicationsEducational Games and Gamification

Cited by 133

Communication Complexity of Distributed Convex Learning and Optimization

Arjevani, Y., & Shamir, O. (2015) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 133

Bot in the Bunch: Facilitating Group Chat Discussion by Improving Efficiency and Participation with a Chatbot

Kim, S., Eun, J., Oh, C., Suh, B., & Lee, J. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionAI in Service Interactions

Cited by 133

DeepfakeStack: A Deep Ensemble-based Learning Technique for Deepfake Detection

Rana, M. S., & Sung, A. H. (2020) · 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 133

IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection

Yin, J., Shen, J., Chen, R., Li, W., Yang, R., Frossard, P., & Wang, W. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 133

Visual pattern mining in histology image collections using bag of features

Cruz-Roa, A., Caicedo, J. C., & González, F. A. (2011) · Artificial Intelligence in Medicine

Image Retrieval and Classification TechniquesAI in cancer detection

Cited by 133

Behavioral Analysis of Insider Threat: A Survey and Bootstrapped Prediction in Imbalanced Data

Azaria, A., Richardson, A., Kraus, S., & Subrahmanian, V. S. (2014) · IEEE Transactions on Computational Social Systems

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 133

Understanding the syntax barrier for novices

Denny, P., Luxton-Reilly, A., Tempero, E., & Hendrickx, J. (2011) · Proceedings of the 16th annual joint conference on Innovation and technology in computer science education

Teaching and Learning ProgrammingLogic, programming, and type systems

Cited by 133

Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?

Ravichander, A., Belinkov, Y., & Hovy, E. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 133

Improving transferability of adversarial patches on face recognition with generative models

Xiao, Z., Gao, X., Fu, C., Dong, Y., Gao, W., Zhang, X., Zhou, J., & Zhu, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 132

CosmoFlow: Using Deep Learning to Learn the Universe at Scale

Mathuriya, A., Bard, D., Mendygral, P., Meadows, L., Arnemann, J., Shao, L., He, S., Karna, T., Moise, D., Pennycook, S. J., et al. (2018) · SC18: International Conference for High Performance Computing, Networking, Storage and Analysis

Parallel Computing and Optimization TechniquesCosmology and Gravitation Theories

Cited by 132

IPOD: Intensive Point-based Object Detector for Point Cloud

Yang, Z., Sun, Y., Liu, S., Shen, X., & Jia, J. (2018) · arXiv

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 132

Double-image compression and encryption algorithm based on co-sparse representation and random pixel exchanging

Zhou, N., Jiang, H., Gong, L., & Xie, X. (2018) · Optics and Lasers in Engineering

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 132

A Survey on the Detection and Impacts of Deepfakes in Visual, Audio, and Textual Formats

Mubarak, R., Alsboui, T., Alshaikh, O., Inuwa-Dutse, I., Khan, S., & Parkinson, S. (2023) · IEEE Access

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 132

LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks

Ullah, S., Han, M., Pujar, S., Pearce, H., Coskun, A., & Stringhini, G. (2023) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 132

TrustFed: A Framework for Fair and Trustworthy Cross-Device Federated Learning in IIoT

Rehman, M. H. U., Dirir, A. M., Salah, K., Damiani, E., & Svetinovic, D. (2021) · IEEE Transactions on Industrial Informatics

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 132

Designing emotionally sentient agents

McDuff, D., & Czerwinski, M. (2018) · Communications of the ACM

Psychiatry, Mental Health, NeuroscienceEmotion and Mood Recognition

Cited by 132

Resiliency of Deep Neural Networks under Quantization

Sung, W., Shin, S., & Hwang, K. (2015) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 132

Data-Driven Safety Filters: Hamilton-Jacobi Reachability, Control Barrier Functions, and Predictive Methods for Uncertain Systems

Wabersich, K. P., Taylor, A. J., Choi, J. J., Sreenath, K., Tomlin, C. J., Ames, A. D., & Zeilinger, M. N. (2023) · IEEE Control Systems

Formal Methods in VerificationAdvanced Control Systems Optimization

Cited by 132

LITNET-2020: An Annotated Real-World Network Flow Dataset for Network Intrusion Detection

Damasevicius, R., Venckauskas, A., Grigaliunas, S., Toldinas, J., Morkevicius, N., Aleliunas, T., & Smuikys, P. (2020) · Electronics

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 132

The fallacy of inscrutability

Kroll, J. A. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 132

Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation

Feng, T., Wang, M., & Yuan, H. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 132