Check computer science papers: citations, claims and retractions

Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes

Hong, Y., Pan, H., Sun, W., & Jia, Y. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 261

Limo: Lidar-monocular visual odometry

Graeter, J., Wilczynski, A., & Lauer, M. (2018) · 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robotics and Sensor-Based LocalizationAutonomous Vehicle Technology and Safety

Cited by 261

Experimental Realization of Quantum Artificial Intelligence

Zhaokai, L., Xiaomei, L., Nanyang, X., & jiangfeng, D. (2014) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 261

StarCoder: may the source be with you!

Li, R., Allal, L. B., Zi, Y., Muennighoff, N., Kocetkov, D., Mou, C., Marone, M., Akiki, C., Li, J., Chim, J., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 261

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

Mendrik, A. M., Vincken, K. L., Kuijf, H. J., Breeuwer, M., Bouvy, W. H., de Bresser, J., Alansary, A., de Bruijne, M., Carass, A., El-Baz, A., et al. (2015) · Computational Intelligence and Neuroscience

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 261

Trustworthy ai: A computational perspective

Liu, H., Wang, Y., Fan, W., Liu, X., Li, Y., Jain, S., Liu, Y., Jain, A., & Tang, J. (2023) · ACM Transactions on Intelligent Systems and Technology

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 261

LC-QuAD: A Corpus for Complex Question Answering over Knowledge Graphs

Trivedi, P., Maheshwari, G., Dubey, M., & Lehmann, J. (2017) · Lecture Notes in Computer Science

Semantic Web and OntologiesTopic Modeling

Cited by 261

A survey on datasets for fairness‐aware machine learning

Le Quy, T., Roy, A., Iosifidis, V., Zhang, W., & Ntoutsi, E. (2022) · WIREs Data Mining and Knowledge Discovery

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 261

Cybersecurity of industrial cyber-physical systems: A review

Kayan, H., Nunes, M., Rana, O., Burnap, P., & Perera, C. (2022) · ACM Computing Surveys

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 261

Meta-learning in Reinforcement Learning

Schweighofer, N., & Doya, K. (2003) · Neural Networks

Reinforcement Learning in RoboticsNeurotransmitter Receptor Influence on Behavior

Cited by 261

Leveraging Knowledge Bases in LSTMs for Improving Machine Reading

Yang, B., & Mitchell, T. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 261

Transparent to whom? No algorithmic accountability without a critical audience

Kemper, J., & Kolkman, D. (2019) · Information, Communication & Society

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 260

DeBot: Twitter Bot Detection via Warped Correlation

Chavoshi, N., Hamooni, H., & Mueen, A. (2016) · 2016 IEEE 16th International Conference on Data Mining (ICDM)

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 260

Internet of Things: Evolution, Concerns and Security Challenges

Malhotra, P., Singh, Y., Anand, P., Bangotra, D. K., Singh, P. K., & Hong, W.-C. (2021) · Sensors

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 260

SybilGuard: defending against sybil attacks via social networks

Yu, H., Kaminsky, M., Gibbons, P. B., & Flaxman, A. (2006) · Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications

Access Control and TrustPeer-to-Peer Network Technologies

Cited by 260

Measure it? Manage it? Ignore it? software practitioners and technical debt

Ernst, N. A., Bellomo, S., Ozkaya, I., Nord, R. L., & Gorton, I. (2015) · Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 260

Lightweight blockchain for healthcare

Ismail, L., Materwala, H., & Zeadally, S. (2019) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 260

Hierarchical Conditional Relation Networks for Video Question Answering

Le, T. M., Le, V., Venkatesh, S., & Tran, T. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 260

Next Steps for Human-Computer Integration

Mueller, F. F., Lopes, P., Strohmeier, P., Ju, W., Seim, C., Weigel, M., Nanayakkara, S., Obrist, M., Li, Z., Delfa, J., et al. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionSocial Robot Interaction and HRI

Cited by 260

MM-LLMs: Recent Advances in MultiModal Large Language Models

Zhang, D., Yu, Y., Dong, J., Li, C., Su, D., Chu, C., & Yu, D. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 260

Robust Mobile Crowd Sensing: When Deep Learning Meets Edge Computing

Zhou, Z., Liao, H., Gu, B., Huq, K. M. S., Mumtaz, S., & Rodriguez, J. (2018) · IEEE Network

Mobile Crowdsensing and CrowdsourcingIoT and Edge/Fog Computing

Cited by 260

Predicting age and gender in online social networks

Peersman, C., Daelemans, W., & Van Vaerenbergh, L. (2011) · Proceedings of the 3rd international workshop on Search and mining user-generated contents

Authorship Attribution and ProfilingMental Health via Writing

Cited by 260

Hate speech detection and racial bias mitigation in social media based on BERT model

Mozafari, M., Farahbakhsh, R., & Crespi, N. (2020) · PLOS ONE

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 260

Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics

Duan, L., Liu, J., Yang, W., Huang, T., & Gao, W. (2020) · IEEE Transactions on Image Processing

Video Coding and Compression TechnologiesAdvanced Data Compression Techniques

Cited by 260