Check computer science papers: citations, claims and retractions

Incremental learning for the detection and classification of GAN-generated images

Marra, F., Saltori, C., Boato, G., & Verdoliva, L. (2019) · 2019 IEEE International Workshop on Information Forensics and Security (WIFS)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 154

Aadhaar: Governing with Biometrics

Rao, U., & Nair, V. (2019) · South Asia: Journal of South Asian Studies

Biometric Identification and SecurityE-Government and Public Services

Cited by 154

Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

Struppek, L., Hintersdorf, D., Neider, D., & Kersting, K. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 153

Splicing ViT Features for Semantic Appearance Transfer

Tumanyan, N., Bar-Tal, O., Bagon, S., & Dekel, T. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 153

Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing

Mai, S., Hu, H., & Xing, S. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Emotion and Mood RecognitionMultimodal Machine Learning Applications

Cited by 153

Modeling Relation Paths for Knowledge Graph Completion

Shen, Y., Ding, N., Zheng, H.-T., Li, Y., & Yang, M. (2021) · IEEE Transactions on Knowledge and Data Engineering

Advanced Graph Neural NetworksTopic Modeling

Cited by 153

An Archive of Their Own: A Case Study of Feminist HCI and Values in Design

Fiesler, C., Morrison, S., & Bruckman, A. S. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionEthics and Social Impacts of AI

Cited by 153

A security and trust framework for virtualized networks and software-defined networking: Security and trust framework for virtualized networks and SDN

Yan, Z., Zhang, P., & Vasilakos, A. V. (2016) · Security and Communication Networks

Software-Defined Networks and 5GCybersecurity and Information Systems

Cited by 153

Boosting Computational Power through Spatial Multiplexing in Quantum Reservoir Computing

Nakajima, K., Fujii, K., Negoro, M., Mitarai, K., & Kitagawa, M. (2019) · Physical Review Applied

Neural Networks and Reservoir ComputingQuantum Computing Algorithms and Architecture

Cited by 153

Detection and moderation of detrimental content on social media platforms: current status and future directions

Gongane, V. U., Munot, M. V., & Anuse, A. D. (2022) · Social Network Analysis and Mining

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 153

SoK of used cryptography in blockchain

Raikwar, M., Gligoroski, D., & Kralevska, K. (2019) · IEEE Access

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 153

Towards Understanding and Mitigating Social Biases in Language Models

Liang, P. P., Wu, C., Morency, L.-P., & Salakhutdinov, R. (2021) · arXiv

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 153

Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?

Zhu, S., Dong, X., & Su, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 153

Emerging Technologies for Use in the Study, Diagnosis, and Treatment of Patients with COVID-19

Tsikala Vafea, M., Atalla, E., Georgakas, J., Shehadeh, F., Mylona, E. K., Kalligeros, M., & Mylonakis, E. (2020) · Cellular and Molecular Bioengineering

Healthcare during COVID-19 PandemicArtificial Intelligence in Healthcare and Education

Cited by 153

Explanation and trust: what to tell the user in security and AI?

Pieters, W. (2011) · Ethics and Information Technology

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 153

A New Threat Intelligence Scheme for Safeguarding Industry 4.0 Systems

Moustafa, N., Adi, E., Turnbull, B., & Hu, J. (2018) · IEEE Access

Network Security and Intrusion DetectionDigital Transformation in Industry

Cited by 153

Self-Regulated Learning in Learning Environments With Pedagogical Agents That Interact in Natural Language

GRAESSER, A., & McNAMARA, D. (2010) · Educational Psychologist

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 153

Large-Margin Multi-Modal Deep Learning for RGB-D Object Recognition

Wang, A., Lu, J., Cai, J., Cham, T.-J., & Wang, G. (2015) · IEEE Transactions on Multimedia

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 153

SenseGen: A deep learning architecture for synthetic sensor data generation

Alzantot, M., Chakraborty, S., & Srivastava, M. (2017) · 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

Privacy-Preserving Technologies in DataGenerative Adversarial Networks and Image Synthesis

Cited by 153

Code churn: a measure for estimating the impact of code change

Munson, J. C., & Elbaum, S. G. (2002) · Proceedings. International Conference on Software Maintenance (Cat. No. 98CB36272)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 153

How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation

Narayanan, M., Chen, E., He, J., Kim, B., Gershman, S., & Doshi-Velez, F. (2018) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 153

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems

Andras, P., Esterle, L., Guckert, M., Han, T. A., Lewis, P. R., Milanovic, K., Payne, T., Perret, C., Pitt, J., Powers, S. T., et al. (2018) · IEEE Technology and Society Magazine

Ethics and Social Impacts of AIHuman-Automation Interaction and Safety

Cited by 153

Grover Adaptive Search for Constrained Polynomial Binary Optimization

Gilliam, A., Woerner, S., & Gonciulea, C. (2021) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 153

Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English

Blodgett, S. L., & O'Connor, B. (2017) · arXiv

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 153