Check computer science papers: citations, claims and retractions

Interdisciplinary framework for cyber-attacks and anomaly detection in industrial control systems using deep learning

Gulzar, Q., & Mustafa, K. (2025) · Scientific Reports

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 29

A performance enhancement of deepfake video detection through the use of a hybrid CNN Deep learning model

Thaseen Ikram, S., V, P., Chambial, S., Sood, D., & V, A. (2023) · International journal of electrical and computer engineering systems

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 29

Randomness Concerns when Deploying Differential Privacy

Garfinkel, S. L., & Leclerc, P. (2020) · Proceedings of the 19th Workshop on Privacy in the Electronic Society

Cryptographic Implementations and SecurityPrivacy-Preserving Technologies in Data

Cited by 29

Cognitive Network Inference through Bayesian Network Analysis

Quer, G., Meenakshisundaram, H., Tamma, B., Manoj, B. S., Rao, R., & Zorzi, M. (2010) · 2010 IEEE Global Telecommunications Conference GLOBECOM 2010

Cognitive Radio Networks and Spectrum SensingSoftware-Defined Networks and 5G

Cited by 29

Captions and biases in diagnostic search

White, R. W., & Horvitz, E. (2013) · ACM Transactions on the Web

Information Retrieval and Search BehaviorHealth Literacy and Information Accessibility

Cited by 29

Introducing the Database ExamStress for Speech under Stress

Sigmund, M. (2006) · Proceedings of the 7th Nordic Signal Processing Symposium - NORSIG 2006

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 29

A fast, modular scene understanding system using context-aware object detection

Cadena, C., Dick, A., & Reid, I. D. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 29

On the Generality of Codebook Approach for Sensor-Based Human Activity Recognition

Shirahama, K., & Grzegorzek, M. (2017) · Electronics

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 29

Empowering Business Transformation: The Positive Impact and Ethical Considerations of Generative AI in Software Product Management – A Systematic Literature Review

Parikh, N. A. (2023) · Advances in Business Strategy and Competitive Advantage

Artificial Intelligence ApplicationsSoftware Engineering Techniques and Practices

Cited by 29

Learning-Based and Data-Driven TCP Design for Memory-Constrained IoT

Li, W., Zhou, F., Meleis, W., & Chowdhury, K. (2016) · 2016 International Conference on Distributed Computing in Sensor Systems (DCOSS)

Network Traffic and Congestion ControlWireless Networks and Protocols

Cited by 29

Looking for a handsome carpenter! Debiasing GPT-3 job advertisements

Borchers, C., Gala, D., Gilburt, B., Oravkin, E., Bounsi, W., Asano, Y. M., & Kirk, H. (2022) · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)

Ethics and Social Impacts of AITopic Modeling

Cited by 29

Accurate prediction of histological grading of intraductal papillary mucinous neoplasia using deep learning

Schulz, D., Heilmaier, M., Phillip, V., Treiber, M., Mayr, U., Lahmer, T., Mueller, J., Demir, I. E., Friess, H., Reichert, M., et al. (2023) · Endoscopy

AI in cancer detectionPancreatic and Hepatic Oncology Research

Cited by 29

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Zhuo, T. Y., Vu, M. C., Chim, J., Hu, H., Yu, W., Widyasari, R., Yusuf, I. N. B., Zhan, H., He, J., Paul, I., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 29

On the challenges of using black-box APIs for toxicity evaluation in research

Pozzobon, L., Ermis, B., Lewis, P., & Hooker, S. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 29

Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?

Wang, X., & Yamagishi, J. (2023) · arXiv

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 29

The Chosen One: Consistent Characters in Text-to-Image Diffusion Models

Avrahami, O., Hertz, A., Vinker, Y., Arar, M., Fruchter, S., Fried, O., Cohen-Or, D., & Lischinski, D. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 29

Effects of Action Video Game Experience on Change Detection

Durlach, P. J., Kring, J. P., & Bowens, L. D. (2009) · Military Psychology

Visual Attention and Saliency DetectionVisual perception and processing mechanisms

Cited by 29

Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning

Qin, X., Wang, J., Ma, S., Lu, W., Zhu, Y., Xie, X., & Chen, Y. (2023) · Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 29

Promise: Prompt-Driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models

Li, H., Liu, H., Hu, D., Wang, J., & Oguz, I. (2024) · 2024 IEEE International Symposium on Biomedical Imaging (ISBI)

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 29

Hear Me out: Fusional Approaches for Audio Augmented Temporal Action Localization

Bagchi, A., Mahmood, J., Fernandes, D., & Sarvadevabhatla, R. (2022) · Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 29

What Goes Around Comes Around... And Around...

Stonebraker, M., & Pavlo, A. (2024) · ACM SIGMOD Record

Advanced Database Systems and QueriesHistory of Computing Technologies

Cited by 29

Detection of perineural invasion in prostate needle biopsies with deep neural networks

Kartasalo, K., Ström, P., Ruusuvuori, P., Samaratunga, H., Delahunt, B., Tsuzuki, T., Eklund, M., & Egevad, L. (2022) · Virchows Archiv

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 29

An iSchool approach to data science: Human‐centered, socially responsible, and context‐driven

Shah, C., Anderson, T., Hagen, L., & Zhang, Y. (2021) · Journal of the Association for Information Science and Technology

Ethics and Social Impacts of AILibrary Science and Information Literacy

Cited by 29

GOFAI

Boden, M. A. (2014) · The Cambridge Handbook of Artificial Intelligence

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 29