Check computer science papers: citations, claims and retractions

Towards Learning-automation IoT Attack Detection through Reinforcement Learning

Gu, T., Abhishek, A., Fu, H., Zhang, H., Basu, D., & Mohapatra, P. (2020) · 2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 50

GNN-Based Network Traffic Analysis for the Detection of Sequential Attacks in IoT

Altaf, T., Wang, X., Ni, W., Yu, G., Liu, R. P., & Braun, R. (2024) · Electronics

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 50

Yi: Open Foundation Models by 01.AI

AI, 0., :, Young, A., Chen, B., Li, C., Huang, C., Zhang, G., Zhang, G., Wang, G., Li, H., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 50

Enhancing reliability using peer consistency evaluation in human computation

Huang, S.-W., & Fu, W.-T. (2013) · Proceedings of the 2013 conference on Computer supported cooperative work

Mobile Crowdsensing and CrowdsourcingExpert finding and Q&A systems

Cited by 50

A Green Cloud-Based Framework for Energy-Efficient Task Scheduling Using Carbon Intensity Data for Heterogeneous Cloud Servers

Beena, B. M., Ranga, P. C., Manideep, T. S. S., Saragadam, S., & Karthik, G. (2025) · IEEE Access

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 50

CFaaS: bilaterally agreed evidence collection

Moussa, A. N., Ithnin, N., & Zainal, A. (2018) · Journal of Cloud Computing

Digital and Cyber ForensicsCloud Data Security Solutions

Cited by 50

Measuring the Biases that Matter: The Ethical and Casual Foundations for Measures of Fairness in Algorithms

Glymour, B., & Herington, J. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 50

Deepfake Video Detection with Spatiotemporal Dropout Transformer

Zhang, D., Lin, F., Hua, Y., Wang, P., Zeng, D., & Ge, S. (2022) · Proceedings of the 30th ACM International Conference on Multimedia

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 50

Challenges in Adopting Continuous Delivery and DevOps in a Globally Distributed Product Team: A Case Study of a Healthcare Organization

Gupta, R. K., Venkatachalapathy, M., & Jeberla, F. K. (2019) · 2019 ACM/IEEE 14th International Conference on Global Software Engineering (ICGSE)

Software Engineering Techniques and PracticesSoftware System Performance and Reliability

Cited by 50

A Review of Deepfake Techniques: Architecture, Detection and Datasets

Edwards, P., Nebel, J.-C., Greenhill, D., & Liang, X. (2024) · IEEE Access

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 50

Using genetic algorithm for load balancing in cloud computing

Makasarwala, H. A., & Hazari, P. (2016) · 2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems

Cited by 50

CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images

Yang, P., Yin, X., Lu, H., Hu, Z., Zhang, X., Jiang, R., & Lv, H. (2022) · Medical Image Analysis

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 50

Orientation- and Scale-Invariant Multi-Vehicle Detection and Tracking from Unmanned Aerial Videos

Wang, J., Simeonova, S., & Shahbazi, M. (2019) · Remote Sensing

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 50

Improving Augmented Human Intelligence to Distinguish Burkitt Lymphoma From Diffuse Large B-Cell Lymphoma Cases

Mohlman, J. S., Leventhal, S. D., Hansen, T., Kohan, J., Pascucci, V., & Salama, M. E. (2020) · American Journal of Clinical Pathology

AI in cancer detectionDigital Imaging for Blood Diseases

Cited by 50

High Speed and High Dynamic Range Video with an Event Camera

Rebecq, H., Ranftl, R., Koltun, V., & Scaramuzza, D. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Vision and ImagingAdvanced Image Processing Techniques

Cited by 50

VisualWebArena: evaluating multimodal agents on realistic visual web tasks

Koh, J. Y., Lo, R., Jang, L., Duvvur, V., Lim, M., Huang, P.-Y., Neubig, G., Zhou, S., Salakhutdinov, R., & Fried, D. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 50

Geometric measures of data depth

Aloupis, G. (2006) · DIMACS Series in Discrete Mathematics and Theoretical Computer Science

Computational Geometry and Mesh GenerationComplexity and Algorithms in Graphs

Cited by 50

Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time

Liu, Z., Desai, A., Liao, F., Wang, W., Xie, V., Xu, Z., Kyrillidis, A., & Shrivastava, A. (2023) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 50

Multi-agent modeling and simulation in the AI age

Fan, W., Chen, P., Shi, D., Guo, X., & Kou, L. (2021) · Tsinghua Science and Technology

Multi-Agent Systems and NegotiationSimulation Techniques and Applications

Cited by 50

Cryptanalysis of an Image Encryption Algorithm Based on Combined Chaos for a BAN System, and Improved Scheme Using SHA-512 and Hyperchaos

Ahmad, M., Al Solami, E., Wang, X.-Y., Doja, M. N., Beg, M. M. S., & Alzaidi, A. A. (2018) · Symmetry

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 50

How Practitioners Expect Code Completion?

Wang, C., Hu, J., Gao, C., Jin, Y., Xie, T., Huang, H., Lei, Z., & Deng, Y. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 50

On the Maximum Storage Capacity of the Hopfield Model

Folli, V., Leonetti, M., & Ruocco, G. (2017) · Frontiers in Computational Neuroscience

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 50

Transfer learning for cross-language text categorization through active correspondences construction

Zhou, J., Pan, S., Tsang, I., & Ho, S.-S. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningText and Document Classification Technologies

Cited by 50

Pie chart sonification

Franklin, K. M., & Roberts, J. C. (2004) · Proceedings on Seventh International Conference on Information Visualization, 2003. IV 2003.

Data Visualization and AnalyticsTactile and Sensory Interactions

Cited by 50