Check computer science papers: citations, claims and retractions

Building Security Perimeters to Protect Network Systems Against Cyber Threats [Future Directions]

Puthal, D., Mohanty, S. P., Nanda, P., & Choppali, U. (2017) · IEEE Consumer Electronics Magazine

Network Security and Intrusion DetectionCybersecurity and Information Systems

Cited by 63

Writer-Defined AI Personas for On-Demand Feedback Generation

Benharrak, K., Zindulka, T., Lehmann, F., Heuer, H., & Buschek, D. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Persona Design and ApplicationsUsability and User Interface Design

Cited by 63

Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill

Cai, W., Huang, S., Cheng, G., Long, Y., Gao, P., Sun, C., & Dong, H. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 63

Solving Quantum Ground-State Problems with Nuclear Magnetic Resonance

Li, Z., Yung, M.-H., Chen, H., Lu, D., Whitfield, J. D., Peng, X., Aspuru-Guzik, A., & Du, J. (2011) · Scientific Reports

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 63

Temporal Graph Benchmark for Machine Learning on Temporal Graphs

Huang, S., Poursafaei, F., Danovitch, J., Fey, M., Hu, W., Rossi, E., Leskovec, J., Bronstein, M., Rabusseau, G., & Rabbany, R. (2023) · arXiv

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 63

Learning to reach goals via iterated supervised learning

Ghosh, D., Gupta, A., Reddy, A., Fu, J., Devin, C., Eysenbach, B., & Levine, S. (2019) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 63

Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation

Liang, Y., Meng, F., Zhang, Y., Chen, Y., Xu, J., & Zhou, J. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Speech and dialogue systemsEmotion and Mood Recognition

Cited by 63

Augmenting interpretable models with large language models during training

Singh, C., Askari, A., Caruana, R., & Gao, J. (2023) · Nature Communications

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 63

A Survey on Stylometric Text Features

Lagutina, K., Lagutina, N., Boychuk, E., Vorontsova, I., Shliakhtina, E., Belyaeva, O., Paramonov, I., & Demidov, P. G. (2019) · 2019 25th Conference of Open Innovations Association (FRUCT)

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 63

ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images

Binh, L. M., & Woo, S. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 63

A co-design framework of neural networks and quantum circuits towards quantum advantage

Jiang, W., Xiong, J., & Shi, Y. (2021) · Nature Communications

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 63

Refacing: Reconstructing Anonymized Facial Features Using GANS

Abramian, D., & Eklund, A. (2019) · 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 63

Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation

Guerreiro, N. M., Voita, E., & Martins, A. (2023) · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 63

Which politicians receive abuse? Four factors illuminated in the UK general election 2019

Gorrell, G., Bakir, M. E., Roberts, I., Greenwood, M. A., & Bontcheva, K. (2020) · EPJ Data Science

Hate Speech and Cyberbullying DetectionSocial Media and Politics

Cited by 63

PVASS-MDD: Predictive Visual-Audio Alignment Self-Supervision for Multimodal Deepfake Detection

Yu, Y., Liu, X., Ni, R., Yang, S., Zhao, Y., & Kot, A. C. (2024) · IEEE Transactions on Circuits and Systems for Video Technology

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 63

A study on the prevalence of human values in software engineering publications, 2015 -- 2018

Perera, H., Hussain, W., Whittle, J., Nurwidyantoro, A., Mougouei, D., Shams, R. A., & Oliver, G. (2020) · Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering

Software Engineering Techniques and PracticesEthics and Social Impacts of AI

Cited by 63

A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation

Liu, T., Zhang, Y., Brockett, C., Mao, Y., Sui, Z., Chen, W., & Dolan, B. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 63

DSPBench: A suite of benchmark applications for distributed data stream processing systems

Bordin, M. V., Griebler, D., Mencagli, G., Geyer, C. F. R., & Fernandes, L. G. L. (2020) · IEEE Access

Advanced Database Systems and QueriesCloud Computing and Resource Management

Cited by 63

Multimodaltrace: Deepfake Detection using Audiovisual Representation Learning

Anas Raza, M., & Mahmood Malik, K. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 63

Image-Based Feature Representation for Insider Threat Classification

Gayathri, R. G., Sajjanhar, A., & Xiang, Y. (2020) · Applied Sciences

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 63

Vibronic Boson Sampling: Generalized Gaussian Boson Sampling for Molecular Vibronic Spectra at Finite Temperature

Huh, J., & Yung, M.-H. (2017) · Scientific Reports

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 63

Toward variability-aware testing

Kästner, C., von Rhein, A., Erdweg, S., Pusch, J., Apel, S., Rendel, T., & Ostermann, K. (2012) · Proceedings of the 4th International Workshop on Feature-Oriented Software Development - FOSD '12

Software Testing and Debugging TechniquesAdvanced Software Engineering Methodologies

Cited by 63

A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models

Wang, H. E., Landers, M., Adams, R., Subbaswamy, A., Kharrazi, H., Gaskin, D. J., & Saria, S. (2022) · Journal of the American Medical Informatics Association

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 63

A large-scale dataset of patient summaries for retrieval-based clinical decision support systems

Zhao, Z., Jin, Q., Chen, F., Peng, T., & Yu, S. (2023) · Scientific Data

Information Retrieval and Search BehaviorMachine Learning in Healthcare

Cited by 63