Check computer science papers: citations, claims and retractions

Leveraging Large Language Models to Generate Answer Set Programs

Ishay, A., Yang, Z., & Lee, J. (2023) · Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 25

Toward Sociotechnical AI: Mapping Vulnerabilities for Machine Learning in Context

Dobbe, R., & Wolters, A. (2024) · Minds and Machines

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 25

A Survey on Naming, Name Resolution and Data Routing in Information Centric Networking (ICN)

BARAKABITZE, A. A., XIAOHENG, T., & TAN, G. (2014) · IJARCCE

Caching and Content DeliveryOpportunistic and Delay-Tolerant Networks

Cited by 25

A Comparative Investigation of Automatic Speech Recognition Platforms for Aphasia Assessment Batteries

Mahmoud, S. S., Pallaud, R. F., Kumar, A., Faisal, S., Wang, Y., & Fang, Q. (2023) · Sensors

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 25

Advancing TTP Analysis: Harnessing the Power of Large Language Models with Retrieval Augmented Generation

Fayyazi, R., Taghdimi, R., & Yang, S. J. (2024) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 25

Enabling Data-Driven API Design with Community Usage Data: A Need-Finding Study

Zhang, T., Hartmann, B., Kim, M., & Glassman, E. L. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 25

An application benchmark for fermionic quantum simulations

Dallaire-Demers, P.-L., Stęchły, M., Gonthier, J. F., Bashige, N. T., Romero, J., & Cao, Y. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 25

A framework of scalable QoE modeling for application explosion in the Internet of Things

Ikeda, Y., Kouno, S., Shiozu, A., & Noritake, K. (2016) · 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)

Image and Video Quality AssessmentNetwork Traffic and Congestion Control

Cited by 25

Automating Automaticity: How the Context of Human Choice Affects the Extent of Algorithmic Bias

Agan, A., Davenport, D., Ludwig, J., & Mullainathan, S. (2023) · National Bureau of Economic Research

Ethics and Social Impacts of AINames, Identity, and Discrimination Research

Cited by 25

Inverse Scaling Can Become U-Shaped

Wei, J., Kim, N., Tay, Y., & Le, Q. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 25

Danish university policies on generative AI: Problems, assumptions and sustainability blind spots

Driessens, O., & Pischetola, M. (2024) · MedieKultur: Journal of media and communication research

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 25

Where to Integrate Security Practices on DevOps Platform

Yasar, H., & Kontostathis, K. (2016) · International Journal of Secure Software Engineering

Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities

Cited by 25

Mixture of Kernels and Iterated Semidirect Product of Diffeomorphisms Groups

Bruveris, M., Risser, L., & Vialard, F.-X. (2012) · Multiscale Modeling & Simulation

Medical Image Segmentation TechniquesImage and Signal Denoising Methods

Cited by 25

Building Trust On-Line: The Design of Reliable Reputation Reporting Mechanisms for Online Trading Communities

Dellarocas, C. N. (2001) · SSRN Electronic Journal

Access Control and TrustSpam and Phishing Detection

Cited by 25

Delaying access to a problem-skipping option increases effortful practice: Application of an A/B test in large-scale online learning

Savi, A. O., Ruijs, N. M., Maris, G. K. J., & van der Maas, H. L. J. (2018) · Computers & Education

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 25

A LE-controlled 4D non-degenerate hyperchaotic system and STP-CS model based efficient image encryption algorithm

Long, G., Verma, V., Jiang, D., Yang, Y., & Ahmad, M. (2025) · Physica Scripta

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 25

Risk-sensitive reinforcement learning: a martingale approach to reward uncertainty

Vadori, N., Ganesh, S., Reddy, P., & Veloso, M. (2020) · Proceedings of the First ACM International Conference on AI in Finance

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 25

A Medical Image Encryption Algorithm Based on Hermite Chaotic Neural Network

Han, B., Jia, Y., Huang, G., & Cai, L. (2020) · 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 25

Involving Users to Improve the Collaborative Logical Framework

Santos, O. C., & Boticario, J. G. (2014) · The Scientific World Journal

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 25

Automated Segmentation and Geometrical Modeling of the Tricuspid Aortic Valve in 3D Echocardiographic Images

Pouch, A. M., Wang, H., Takabe, M., Jackson, B. M., Sehgal, C. M., Gorman, J. H., Gorman, R. C., & Yushkevich, P. A. (2013) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesCardiac Valve Diseases and Treatments

Cited by 25

Pedagogical Agents in an Adaptive E-learning System

M. Ali. Hussein, A., & Al-Chalabi, H. K. M. (2020) · SAR Journal - Science and Research

Intelligent Tutoring Systems and Adaptive LearningEducational Technology and E-Learning

Cited by 25

Authorship Attribution of Social Media Messages

Theophilo, A., Giot, R., & Rocha, A. (2023) · IEEE Transactions on Computational Social Systems

Authorship Attribution and ProfilingMisinformation and Its Impacts

Cited by 25

The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models

Pan, A., Bhatia, K., & Steinhardt, J. (2022) · arXiv

Reinforcement Learning in RoboticsAdversarial Robustness in Machine Learning

Cited by 25

One size does not fit all: a grounded theory and online survey study of developer preferences for security warning types

Danilova, A., Naiakshina, A., & Smith, M. (2020) · Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering

Web Application Security VulnerabilitiesSoftware Engineering Techniques and Practices

Cited by 25