Check computer science papers: citations, claims and retractions

Data science in data librarianship: Core competencies of a data librarian

Semeler, A. R., Pinto, A. L., & Rozados, H. B. F. (2019) · Journal of Librarianship and Information Science

Research Data Management PracticesLibrary Science and Information

Cited by 99

Surface code implementation of block code state distillation

Fowler, A. G., Devitt, S. J., & Jones, C. (2013) · Scientific Reports

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 99

SCA: Sybil-Based Collusion Attacks of IIoT Data Poisoning in Federated Learning

Xiao, X., Tang, Z., Li, C., Xiao, B., & Li, K. (2023) · IEEE Transactions on Industrial Informatics

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 99

DHP19: Dynamic Vision Sensor 3D Human Pose Dataset

Calabrese, E., Taverni, G., Easthope, C. A., Skriabine, S., Corradi, F., Longinotti, L., Eng, K., & Delbruck, T. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Human Pose and Action RecognitionAdvanced Vision and Imaging

Cited by 99

Challenges and Strategies in Cross-Cultural NLP

Hershcovich, D., Frank, S., Lent, H., de Lhoneux, M., Abdou, M., Brandl, S., Bugliarello, E., Cabello Piqueras, L., Chalkidis, I., Cui, R., et al. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 99

In-Processing Modeling Techniques for Machine Learning Fairness: A Survey

Wan, M., Zha, D., Liu, N., & Zou, N. (2023) · ACM Transactions on Knowledge Discovery from Data

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 99

How to Overcome Disorientation in Mobile Phone Menus: A Comparison of Two Different Types of Navigation Aids

Ziefle, M., & Bay, S. (2006) · Human-Computer Interaction

Usability and User Interface DesignSpatial Cognition and Navigation

Cited by 99

FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data

Krispel, G., Opitz, M., Waltner, G., Possegger, H., & Bischof, H. (2020) · 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 99

RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models

Wang, Z., Liu, Z., Zhang, Y., Zhong, A., Wang, J., Yin, F., Fan, L., Wu, L., & Wen, Q. (2024) · Proceedings of the 33rd ACM International Conference on Information and Knowledge Management

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 99

The use of virtual reality in psychiatry: A review

Kim, S., & Kim, E. (2020) · Journal of the Korean Academy of Child and Adolescent Psychiatry

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 99

Network Resource Allocation System for QoE-Aware Delivery of Media Services in 5G Networks

Martin, A., Egana, J., Florez, J., Montalban, J., Olaizola, I. G., Quartulli, M., Viola, R., & Zorrilla, M. (2018) · IEEE Transactions on Broadcasting

Software-Defined Networks and 5GImage and Video Quality Assessment

Cited by 99

Globally Optimal Tumor Segmentation in PET-CT Images: A Graph-Based Co-segmentation Method

Han, D., Bayouth, J., Song, Q., Taurani, A., Sonka, M., Buatti, J., & Wu, X. (2011) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 99

A Comprehensive Review of DeepFake Detection Using Advanced Machine Learning and Fusion Methods

Gupta, G., Raja, K., Gupta, M., Jan, T., Whiteside, S. T., & Prasad, M. (2023) · Electronics

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 99

Practical optimization for hybrid quantum-classical algorithms

Guerreschi, G. G., & Smelyanskiy, M. (2017) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 99

Deep Learning for Human Activity Recognition in Mobile Computing

Plotz, T., & Guan, Y. (2018) · Computer

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 99

Bus: a blockchain-enabled data acquisition scheme with the assistance of UAV swarm in internet of things

Islam, A., & Shin, S. Y. (2019) · IEEE Access

Blockchain Technology Applications and SecurityUAV Applications and Optimization

Cited by 99

Towards intelligent incident management: why we need it and how we make it

Chen, Z., Kang, Y., Li, L., Zhang, X., Zhang, H., Xu, H., Zhou, Y., Yang, L., Sun, J., Xu, Z., et al. (2020) · Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 99

AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances

Agarwal, D., Naaman, M., & Vashistha, A. (2024) · arXiv

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 99

Factorization tricks for LSTM networks

Kuchaiev, O., & Ginsburg, B. (2017) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 99

Quality of experience management in mobile cellular networks: key issues and design challenges

Liotou, E., Tsolkas, D., Passas, N., & Merakos, L. (2015) · IEEE Communications Magazine

Image and Video Quality AssessmentNetwork Traffic and Congestion Control

Cited by 99

Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm

Duan, R., Boland, M. R., Liu, Z., Liu, Y., Chang, H. H., Xu, H., Chu, H., Schmid, C. H., Forrest, C. B., Holmes, J. H., et al. (2020) · Journal of the American Medical Informatics Association

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 99

Explainability Pitfalls: Beyond Dark Patterns in Explainable AI

Ehsan, U., & Riedl, M. O. (2021) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 99

A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles

Narksri, P., Takeuchi, E., Ninomiya, Y., Morales, Y., Akai, N., & Kawaguchi, N. (2018) · 2018 21st International Conference on Intelligent Transportation Systems (ITSC)

Robotics and Sensor-Based LocalizationAutonomous Vehicle Technology and Safety

Cited by 99

Principles and Practice of Explainable Machine Learning

Belle, V., & Papantonis, I. (2021) · Frontiers in Big Data

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 99