Check computer science papers: citations, claims and retractions

Hybrid Approaches (ABAC and RBAC) Toward Secure Access Control in Smart Home IoT

Ameer, S., Benson, J., & Sandhu, R. (2023) · IEEE Transactions on Dependable and Secure Computing

Access Control and TrustIoT-based Smart Home Systems

Cited by 62

CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP

Zhang, J., Dong, R., & Ma, K. (2023) · 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 62

Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery

Puliti, S., & Astrup, R. (2022) · International Journal of Applied Earth Observation and Geoinformation

Advanced Neural Network ApplicationsRemote Sensing and LiDAR Applications

Cited by 61

Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning

Shayan, M., Fung, C., Yoon, C. J. M., & Beschastnikh, I. (2018) · arXiv

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 61

A Video Surveillance System Based on Permissioned Blockchains and Edge Computing

Wang, R., Tsai, W.-T., He, J., Liu, C., Li, Q., & Deng, E. (2019) · 2019 IEEE International Conference on Big Data and Smart Computing (BigComp)

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 61

Measuring the Similarity of Sentential Arguments in Dialogue

Misra, A., Ecker, B., & Walker, M. (2016) · Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 61

From data to personal user models for life‐long, life‐wide learners

Kay, J., & Kummerfeld, B. (2019) · British Journal of Educational Technology

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 61

Why researchers should share their analytic code

Goldacre, B., Morton, C. E., & DeVito, N. J. (2019) · BMJ

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 61

How AI Processing Delays Foster Creativity: Exploring Research Question Co-Creation with an LLM-based Agent

Liu, Y., Chen, S., Cheng, H., Yu, M., Ran, X., Mo, A., Tang, Y., & Huang, Y. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionDesign Education and Practice

Cited by 61

KubAnomaly: Anomaly detection for the Docker orchestration platform with neural network approaches

Tien, C., Huang, T., Tien, C., Huang, T., & Kuo, S. (2019) · Engineering Reports

Network Security and Intrusion DetectionSoftware System Performance and Reliability

Cited by 61

Algorithmic memory and the right to be forgotten on the web

Esposito, E. (2017) · Big Data & Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 61

Fix the First, Ignore the Rest: Dealing with Multiple Compiler Error Messages

Becker, B. A., Murray, C., Tao, T., Song, C., McCartney, R., & Sanders, K. (2018) · Proceedings of the 49th ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 61

Variational quantum eigensolver for frustrated quantum systems

Uvarov, A., Biamonte, J. D., & Yudin, D. (2020) · Physical Review B

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 61

Private Stateful Information Retrieval

Patel, S., Persiano, G., & Yeo, K. (2018) · Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 61

Deep Floor Plan Analysis for Complicated Drawings Based on Style Transfer

Kim, S., Park, S., Kim, H., & Yu, K. (2021) · Journal of Computing in Civil Engineering

Automated Road and Building ExtractionHandwritten Text Recognition Techniques

Cited by 61

Artificial Intelligence-aided diagnosis of breast cancer lymph node metastasis on histologic slides in a digital workflow

Challa, B., Tahir, M., Hu, Y., Kellough, D., Lujan, G., Sun, S., Parwani, A. V., & Li, Z. (2023) · Modern Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 61

A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-Based Anomaly Detection Techniques

Landauer, M., Skopik, F., & Wurzenberger, M. (2024) · Proceedings of the ACM on Software Engineering

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 61

Improving Graph Attention Networks with Large Margin-based Constraints

Wang, G., Ying, R., Huang, J., & Leskovec, J. (2019) · arXiv

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 61

Fast and deep deformation approximations

Bailey, S. W., Otte, D., Dilorenzo, P., & O'Brien, J. F. (2018) · ACM Transactions on Graphics

Human Motion and Animation3D Shape Modeling and Analysis

Cited by 61

Software transparency as a key requirement for self-driving cars

Cysneiros, L. M., Raffi, M., & Sampaio do Prado Leite, J. C. (2018) · 2018 IEEE 26th International Requirements Engineering Conference (RE)

Explainable Artificial Intelligence (XAI)Safety Systems Engineering in Autonomy

Cited by 61

Paper or interactive?: a study of prototyping techniques for ubiquitous computing environments

Liu, L., & Khooshabeh, P. (2003) · CHI '03 extended abstracts on Human factors in computing systems - CHI '03

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 61

Automated machine learning with interpretation: A systematic review of methodologies and applications in healthcare

Yuan, H., Yu, K., Xie, F., Liu, M., & Sun, S. (2024) · Medicine Advances

Explainable Artificial Intelligence (XAI)Machine Learning and Data Classification

Cited by 61

Exploring TensorRT to Improve Real-Time Inference for Deep Learning

Zhou, Y., & Yang, K. (2022) · 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 61

Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression

Farhan, A. A., Lu, J., Bi, J., Russell, A., Wang, B., & Bamis, A. (2016) · 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)

Context-Aware Activity Recognition SystemsMental Health Research Topics

Cited by 61