Check computer science papers: citations, claims and retractions

Light Residual Network for Human Activity Recognition using Wearable Sensor Data

Calatrava-Nicolás, F. M., & Mozos, O. M. (2023) · IEEE Sensors Letters

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 22

Edge Machine Learning for the Automated Decision and Visual Computing of the Robots, IoT Embedded Devices or UAV-Drones

Toma, C., Popa, M., Iancu, B., Doinea, M., Pascu, A., & Ioan-Dutescu, F. (2022) · Electronics

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 22

Balancing privacy versus accuracy in research protocols

Goroff, D. L. (2015) · Science

Privacy-Preserving Technologies in DataResearch Data Management Practices

Cited by 22

Vulnerability to social engineering in social networks: a proposed user-centric framework

Albladi, S., & Weir, G. R. S. (2016) · 2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF)

Spam and Phishing DetectionInformation and Cyber Security

Cited by 22

SEAL: Self-supervised embodied active learning using exploration and 3D consistency

Chaplot, D. S., Dalal, M., Gupta, S., Malik, J., & Salakhutdinov, R. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 22

Identifying Ethnics of People through Face Recognition: A Deep CNN Approach

AlBdairi, A. J. A., Xiao, Z., & Alghaili, M. (2020) · Scientific Programming

Face recognition and analysisFace and Expression Recognition

Cited by 22

Understanding Commonsense Inference Aptitude of Deep Contextual Representations

Da, J., & Kasai, J. (2019) · Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing

Topic ModelingMultimodal Machine Learning Applications

Cited by 22

Memolet: Reifying the Reuse of User-AI Conversational Memories

Yen, R., & Zhao, J. (2024) · Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology

Speech and dialogue systemsInnovative Human-Technology Interaction

Cited by 22

Redesigning an Object-Oriented Programming Course

Kaila, E., Kurvinen, E., Lokkila, E., & Laakso, M.-J. (2016) · ACM Transactions on Computing Education

Teaching and Learning ProgrammingInnovative Teaching Methods

Cited by 22

Can ChatGPT be trusted to provide reliable estimates?

Tsigaris, P., & Teixeira da Silva, J. A. (2024) · Accountability in Research

Ethics and Social Impacts of AIAcademic integrity and plagiarism

Cited by 22

Engineering Bias in AI

Weber, C. (2019) · IEEE Pulse

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 22

Sieve: Attention-based Sampling of End-to-End Trace Data in Distributed Microservice Systems

Huang, Z., Chen, P., Yu, G., Chen, H., & Zheng, Z. (2021) · 2021 IEEE International Conference on Web Services (ICWS)

Software System Performance and ReliabilityAdvanced Database Systems and Queries

Cited by 22

Super-resolution deep neural network (SRDNN) based multi-image steganography for highly secured lossless image transmission

Priya, S., Abirami, S. P., Arunkumar, B., & Mishachandar, B. (2024) · Scientific Reports

Advanced Steganography and Watermarking TechniquesChaos-based Image/Signal Encryption

Cited by 22

Lost in localization — But found with foci?!

Van Essen, D. C. (2009) · NeuroImage

Research Data Management PracticesFunctional Brain Connectivity Studies

Cited by 22

GPU Energy Consumption Optimization With a Global-Based Neural Network Method

Huang, Y., Guo, B., & Shen, Y. (2019) · IEEE Access

Parallel Computing and Optimization TechniquesEnergy Efficiency in Computing

Cited by 22

Generating Unit Tests for Documentation

Nassif, M., Hernandez, A., Sridharan, A., & Robillard, M. P. (2022) · IEEE Transactions on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 22

Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs

Yang, Z., Zhang, Y., Wang, Y., Xu, Z., Lin, J., & Sui, Z. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 22

Collaboration, Information Seeking and Communication: An Observational Study of Software Developers' Work Practices

Gonçalves, M. K., González, V. M., & de Souza, L. R. B. (2011) · Verlag der Technischen Universität Graz

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 22

Quantformer: Learning Extremely Low-Precision Vision Transformers

Wang, Z., Wang, C., Xu, X., Zhou, J., & Lu, J. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 22

Artificial Intelligence as a Service (AI-aaS) on Software-Defined Infrastructure

Parsaeefard, S., Tabrizian, I., & Leon-Garcia, A. (2019) · 2019 IEEE Conference on Standards for Communications and Networking (CSCN)

Software-Defined Networks and 5GCloud Computing and Resource Management

Cited by 22

Multi-scale detection and interpretation of spatio-temporal anomalies of human activities represented by time-series

Cheng, X., Wang, Z., Yang, X., Xu, L., & Liu, Y. (2021) · Computers, Environment and Urban Systems

Anomaly Detection Techniques and ApplicationsHuman Mobility and Location-Based Analysis

Cited by 22

A Short Survey on Deep Learning for Multimodal Integration: Applications, Future Perspectives and Challenges

Dimitri, G. M. (2022) · Computers

Multimodal Machine Learning ApplicationsMultisensory perception and integration

Cited by 22

Person Identification from Text and Speech Genre Samples

Goldstein-Stewart, J., Winder, R., & Sabin, R. E. (2009) · Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics on - EACL '09

Authorship Attribution and ProfilingUser Authentication and Security Systems

Cited by 22

Exploration via Elliptical Episodic Bonuses

Henaff, M., Raileanu, R., Jiang, M., & Rocktäschel, T. (2022) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 22