Check computer science papers: citations, claims and retractions

The attention schema theory in a neural network agent: Controlling visuospatial attention using a descriptive model of attention

Wilterson, A. I., & Graziano, M. S. A. (2021) · Proceedings of the National Academy of Sciences

Visual Attention and Saliency DetectionNeural and Behavioral Psychology Studies

Cited by 26

A smart-phone based privacy-preserving security framework for IoT devices

Togan, M., Chifor, B.-C., Florea, I., & Gugulea, G. (2017) · 2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

Advanced Authentication Protocols SecurityIoT and Edge/Fog Computing

Cited by 26

DIPPAS: a deep image prior PRNU anonymization scheme

Picetti, F., Mandelli, S., Bestagini, P., Lipari, V., & Tubaro, S. (2022) · EURASIP Journal on Information Security

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 26

Related Key Chosen IV Attack on Grain-128a Stream Cipher

Ding, L., & Guan, J. (2013) · IEEE Transactions on Information Forensics and Security

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 26

SketchSoup: Exploratory Ideation Using Design Sketches

Arora, R., Darolia, I., Namboodiri, V. P., Singh, K., & Bousseau, A. (2017) · Computer Graphics Forum

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 26

Studying Large Language Model Generalization with Influence Functions

Grosse, R., Bae, J., Anil, C., Elhage, N., Tamkin, A., Tajdini, A., Steiner, B., Li, D., Durmus, E., Perez, E., et al. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 26

Improved Object Detection in Video Surveillance Using Deep Convolutional Neural Network Learning

B, D., K, R. K., S, R., & R, R. (2021) · 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 26

The Leabra architecture: specialization without modularity

Petrov, A. A., Jilk, D. J., & O'Reilly, R. C. (2010) · Behavioral and Brain Sciences

Psychiatry, Mental Health, NeurosciencePhilosophy and Theoretical Science

Cited by 26

Automatic, verifiable and optimized policy-based security enforcement for SDN-aware IoT networks

Bringhenti, D., Yusupov, J., Zarca, A. M., Valenza, F., Sisto, R., Bernabe, J. B., & Skarmeta, A. (2022) · Computer Networks

Software-Defined Networks and 5GNetwork Security and Intrusion Detection

Cited by 26

Elastic weight consolidation for better bias inoculation

Thorne, J., & Vlachos, A. (2020) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 26

Data-driven detection and characterization of communities of accounts collaborating in MOOCs

Ruipérez-Valiente, J. A., Jaramillo-Morillo, D., Joksimović, S., Kovanović, V., Muñoz-Merino, P. J., & Gašević, D. (2021) · Future Generation Computer Systems

Online Learning and AnalyticsAcademic integrity and plagiarism

Cited by 26

The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning

Zeng, J., Lesnikowski, A., & Alvarez, J. M. (2018) · arXiv

Gaussian Processes and Bayesian InferenceMachine Learning and Algorithms

Cited by 26

Analyzing Performance of YOLOx for Detecting Vehicles in Bad Weather Conditions

Ashraf, I., Hur, S., Kim, G., & Park, Y. (2024) · Sensors

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 26

Security Protocol with IDS Framework Using Mobile Agent in Robotic MANET

Rath, M., & Pattanayak, B. K. (2019) · International Journal of Information Security and Privacy

Mobile Ad Hoc NetworksSecurity in Wireless Sensor Networks

Cited by 26

Application-oriented performance benchmarks for quantum computing

Lubinski, T., Johri, S., Varosy, P., Coleman, J., Zhao, L., Necaise, J., Baldwin, C. H., Mayer, K., & Proctor, T. (2021) · Zenodo

Quantum Computing Algorithms and ArchitectureParallel Computing and Optimization Techniques

Cited by 26

Acceptability and potential effectiveness of ehealth tools for training primary health workers from Nigeria at scale: mixed methods, uncontrolled before-and-after study

Hicks, J. P., Allsop, M. J., Akaba, G. O., Yalma, R. M., Dirisu, O., Okusanya, B., Tukur, J., Okunade, K., Akeju, D., Ajepe, A., et al. (2021) · JMIR mHealth and uHealth

ICT in Developing CommunitiesMobile Health and mHealth Applications

Cited by 26

Multi-Sem Fusion: Multimodal Semantic Fusion for 3-D Object Detection

Xu, S., Li, F., Song, Z., Fang, J., Wang, S., & Yang, Z.-X. (2024) · IEEE Transactions on Geoscience and Remote Sensing

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 26

Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models

Sapkota, R., Raza, S., & Karkee, M. (2025) · Preprints.org

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 26

Supporting teachers' intervention in students' virtual collaboration using a network based model

Herder, T., Swiecki, Z., Fougt, S. S., Tamborg, A. L., Allsopp, B. B., Shaffer, D. W., & Misfeldt, M. (2018) · Proceedings of the 8th International Conference on Learning Analytics and Knowledge

Online Learning and AnalyticsOnline and Blended Learning

Cited by 26

MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics

Zheng, K., Han, J. M., & Polu, S. (2021) · arXiv

Mathematics, Computing, and Information ProcessingTopic Modeling

Cited by 26

Automatic rigging for animation characters with 3D silhouette

Pan, J., Yang, X., Xie, X., Willis, P., & Zhang, J. J. (2009) · Computer Animation and Virtual Worlds

3D Shape Modeling and AnalysisHuman Motion and Animation

Cited by 26

AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents

Ma, C., Zhang, J., Zhu, Z., Yang, C., Yang, Y., Jin, Y., Lan, Z., Kong, L., & He, J. (2024) · arXiv

Speech and dialogue systemsMulti-Agent Systems and Negotiation

Cited by 26

How Personal Experience and Technical Knowledge Affect Using Conversational Agents

Chen, M.-L., & Wang, H.-C. (2018) · Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces

Usability and User Interface DesignAI in Service Interactions

Cited by 26

Demystifying practices, challenges and expected features of using GitHub copilot

Zhang, B., Liang, P., Zhou, X., Ahmad, A., & Waseem, M. (2023) · International Journal of Software Engineering and Knowledge Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 26