Check computer science papers: citations, claims and retractions

Low-Energy Security: Limits and Opportunities in the Internet of Things

Trappe, W., Howard, R., & Moore, R. S. (2015) · IEEE Security & Privacy

IoT and Edge/Fog ComputingSecurity in Wireless Sensor Networks

Cited by 246

BRIEF REPORT

Hewig, J., Hagemann, D., Seifert, J., Gollwitzer, M., Naumann, E., & Bartussek, D. (2005) · Cognition & Emotion

Emotion and Mood RecognitionEmotions and Moral Behavior

Cited by 246

A systematic review of the role of learning analytics in enhancing feedback practices in higher education

Banihashem, S. K., Noroozi, O., van Ginkel, S., Macfadyen, L. P., & Biemans, H. J. A. (2022) · Educational Research Review

Online Learning and AnalyticsStudent Assessment and Feedback

Cited by 246

Fast Convolutional Nets With fbfft: A GPU Performance Evaluation

Vasilache, N., Johnson, J., Mathieu, M., Chintala, S., Piantino, S., & LeCun, Y. (2014) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 246

Large Language Model guided Protocol Fuzzing

Meng, R., Mirchev, M., Böhme, M., & Roychoudhury, A. (2024) · Proceedings 2024 Network and Distributed System Security Symposium

Software Testing and Debugging TechniquesNetwork Security and Intrusion Detection

Cited by 246

How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]

Akhtar, M. S., Ekbal, A., & Cambria, E. (2020) · IEEE Computational Intelligence Magazine

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 246

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

Huang, S.-C., Pareek, A., Zamanian, R., Banerjee, I., & Lungren, M. P. (2020) · Scientific Reports

Machine Learning in HealthcareRadiomics and Machine Learning in Medical Imaging

Cited by 246

Sybillimit: a near-optimal social network defense against sybil attacks

Yu, H., Gibbons, P. B., Kaminsky, M., & Xiao, F. (2010) · IEEE/ACM Transactions on Networking

Spam and Phishing DetectionAccess Control and Trust

Cited by 246

Low Latency Geo-distributed Data Analytics

Pu, Q., Ananthanarayanan, G., Bodik, P., Kandula, S., Akella, A., Bahl, P., & Stoica, I. (2015) · Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication

Cloud Computing and Resource ManagementAdvanced Database Systems and Queries

Cited by 246

Digital signature standard (DSS)

National Institute of Standards and Technology (US) (2013)

Cryptography and Data SecurityCryptography and Residue Arithmetic

Cited by 246

LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

He, J., Treude, C., & Lo, D. (2024) · arXiv

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 246

Digital Phased Arrays: Challenges and Opportunities

Fulton, C., Yeary, M., Thompson, D., Lake, J., & Mitchell, A. (2016) · Proceedings of the IEEE

Direction-of-Arrival Estimation TechniquesAntenna Design and Optimization

Cited by 246

A critical review of blockchain and its current applications

Tama, B. A., Kweka, B. J., Park, Y., & Rhee, K.-H. (2017) · 2017 International Conference on Electrical Engineering and Computer Science (ICECOS)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 246

Alpha-refine: Boosting tracking performance by precise bounding box estimation

Yan, B., Zhang, X., Wang, D., Lu, H., & Yang, X. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 246

Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks

Oktay, O., Bai, W., Lee, M., Guerrero, R., Kamnitsas, K., Caballero, J., de Marvao, A., Cook, S., O’Regan, D., & Rueckert, D. (2016) · Lecture Notes in Computer Science

Advanced Image Processing TechniquesMedical Image Segmentation Techniques

Cited by 246

An analytic-to-holistic approach for face recognition based on a single frontal view

Lam, K.-M., & Yan, H. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Face recognition and analysisFace and Expression Recognition

Cited by 246

Generative adversarial networks recover features in astrophysical images of galaxies beyond the deconvolution limit

Schawinski, K., Zhang, C., Zhang, H., Fowler, L., & Santhanam, G. K. (2017) · Monthly Notices of the Royal Astronomical Society: Letters

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 246

FAMNet: Joint Learning of Feature, Affinity and Multi-Dimensional Assignment for Online Multiple Object Tracking

Chu, P., & Ling, H. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 246

AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases

Chen, Z., Xiang, Z., Xiao, C., Song, D., & Li, B. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 246

It knows what you're going to do: adding anticipation to a Quakebot

Laird, J. E. (2001) · Proceedings of the fifth international conference on Autonomous agents

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 246

Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation

Wu, H., Judd, P., Zhang, X., Isaev, M., & Micikevicius, P. (2020) · arXiv

Advanced Neural Network ApplicationsNumerical Methods and Algorithms

Cited by 246

Assessing demand for intelligibility in context-aware applications

Lim, B. Y., & Dey, A. K. (2009) · Proceedings of the 11th international conference on Ubiquitous computing

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 246

LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead

He, J., Treude, C., & Lo, D. (2025) · ACM Transactions on Software Engineering and Methodology

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 246

Content-based brain tumor retrieval for MR images using transfer learning

Swati, Z. N. K., Zhao, Q., Kabir, M., Ali, F., Ali, Z., Ahmed, S., & Lu, J. (2019) · IEEE Access

Image Retrieval and Classification TechniquesBrain Tumor Detection and Classification

Cited by 246