Check computer science papers: citations, claims and retractions

Right translated AES gray S‐boxes

Khan, M., & Azam, N. A. (2015) · Security and Communication Networks

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 25

On the Generation of Medical Question-Answer Pairs

Shen, S., Li, Y., Du, N., Wu, X., Xie, Y., Ge, S., Yang, T., Wang, K., Liang, X., & Fan, W. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 25

API Security in Large Enterprises: Leveraging Machine Learning for Anomaly Detection

Baye, G., Hussain, F., Oracevic, A., Hussain, R., & Ahsan Kazmi, S. M. (2021) · 2021 International Symposium on Networks, Computers and Communications (ISNCC)

Software System Performance and ReliabilityNetwork Security and Intrusion Detection

Cited by 25

AI authorship?

Samuelson, P. (2020) · Communications of the ACM

Law, AI, and Intellectual PropertyDigitalization, Law, and Regulation

Cited by 25

Suggestion Lists vs. Continuous Generation: Interaction Design for Writing with Generative Models on Mobile Devices Affect Text Length, Wording and Perceived Authorship

Lehmann, F., Markert, N., Dang, H., & Buschek, D. (2022) · Mensch und Computer 2022

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 25

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Pan, L., Saxon, M., Xu, W., Nathani, D., Wang, X., & Wang, W. Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 25

Explainable decision support through the learning and visualization of preferences from a formal ontology of antibiotic treatments

Lamy, J.-B., Sedki, K., & Tsopra, R. (2020) · Journal of Biomedical Informatics

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 25

Design guidelines for reconfigurable multiplier blocks

Demirsoy, S. S., Dempster, A. G., & Kale, I. (2003) · Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03.

Digital Filter Design and ImplementationEmbedded Systems Design Techniques

Cited by 25

Exploring bias and prediction metrics to characterise the fairness of machine learning for equity-centered public health decision-making: a narrative review

Raza, S., Shaban-Nejad, A., Dolatabadi, E., & Mamiya, H. (2024) · IEEE Access

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 25

Bridging large language model disparities: skill tagging of multilingual educational content

Kwak, Y., & Pardos, Z. A. (2024) · British Journal of Educational Technology

Topic ModelingArtificial Intelligence in Education

Cited by 25

Towards rain detection through use of in-vehicle multipurpose cameras

Cord, A., & Aubert, D. (2011) · 2011 IEEE Intelligent Vehicles Symposium (IV)

Image Enhancement TechniquesAutonomous Vehicle Technology and Safety

Cited by 25

Learning Universal Authorship Representations

Rivera-Soto, R. A., Miano, O. E., Ordonez, J., Chen, B. Y., Khan, A., Bishop, M., & Andrews, N. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Authorship Attribution and ProfilingTopic Modeling

Cited by 25

Saturated Transformers are Constant-Depth Threshold Circuits

Merrill, W., Sabharwal, A., & Smith, N. A. (2022) · Transactions of the Association for Computational Linguistics

semigroups and automata theoryComplexity and Algorithms in Graphs

Cited by 25

Do I Belong? Modeling Sense of Virtual Community Among Linux Kernel Contributors

Trinkenreich, B., Stol, K.-J., Sarma, A., German, D. M., Gerosa, M. A., & Steinmacher, I. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Open Source Software InnovationsKnowledge Management and Sharing

Cited by 25

How Might We Create Better Benchmarks for Speech Recognition?

Aksënova, A., van Esch, D., Flynn, J., & Golik, P. (2021) · Proceedings of the 1st Workshop on Benchmarking: Past, Present and Future

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 25

Diversifying high school students' views about computing with electronic textiles

Searle, K. A., Fields, D. A., Lui, D. A., & Kafai, Y. B. (2014) · Proceedings of the tenth annual conference on International computing education research

Teaching and Learning ProgrammingGender and Technology in Education

Cited by 25

How Transferable are Reasoning Patterns in VQA?

Kervadec, C., Jaunet, T., Antipov, G., Baccouche, M., Vuillemot, R., & Wolf, C. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 25

A survey on computation resource allocation in IoT enabled vehicular edge computing

Naren, Gaurav, A. K., Sahu, N., Dash, A. P., Chalapathi, G. S. S., & Chamola, V. (2022) · Complex & Intelligent Systems

IoT and Edge/Fog ComputingVehicular Ad Hoc Networks (VANETs)

Cited by 25

Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA

Smith, J. S., Hsu, Y.-C., Zhang, L., Hua, T., Kira, Z., Shen, Y., & Jin, H. (2023) · arXiv

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

Cited by 25

TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric

Das, A., Krizek, P., Sistu, G., Burger, F., Madasamy, S., Uricar, M., Kumar, V. R., & Yogamani, S. (2020) · 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 25

Public availability of research data in dentistry journals indexed in Journal Citation Reports

Vidal-Infer, A., Tarazona, B., Alonso-Arroyo, A., & Aleixandre-Benavent, R. (2018) · Clinical Oral Investigations

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 25

Multimodal behavioral and physiological signals as indicators of cognitive load

Zhou, J., Yu, K., Chen, F., Wang, Y., & Arshad, S. Z. (2018) · The Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations - Volume 2

Emotion and Mood RecognitionHuman-Automation Interaction and Safety

Cited by 25

Pattern recognition of human arm movement using deep reinforcement learning

Seok, W., Kim, Y., & Park, C. (2018) · 2018 International Conference on Information Networking (ICOIN)

Hand Gesture Recognition SystemsContext-Aware Activity Recognition Systems

Cited by 25

Enhancing computational thinking and spatial reasoning skills in gamification programming learning: A comparative study of tangible, block and paper‐and‐pencil tools

Gong, X., Xu, W., Yu, S., Ma, J., & Qiao, A. (2025) · British Journal of Educational Technology

Teaching and Learning ProgrammingEducational Games and Gamification

Cited by 25