Check computer science papers: citations, claims and retractions

Software exploitable hardware Trojans in embedded processor

Wang, X., Mal-Sarkar, T., Krishna, A., Narasimhan, S., & Bhunia, S. (2012) · 2012 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)

Physical Unclonable Functions (PUFs) and Hardware SecuritySecurity and Verification in Computing

Cited by 47

Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle

Cao, Y. T., & Daumé, H. (2021) · Computational Linguistics

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 47

An Image Authentication Scheme Using Merkle Tree Mechanisms

Chen, Y.-C., Chou, Y.-P., & Chou, Y.-C. (2019) · Future Internet

Blockchain Technology Applications and SecurityAdvanced Steganography and Watermarking Techniques

Cited by 47

Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets

Tran, D., & Kiela, D. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 47

Seeing with Humans: Gaze-Assisted Neural Image Captioning

Sugano, Y., & Bulling, A. (2016) · arXiv

Visual Attention and Saliency DetectionMultimodal Machine Learning Applications

Cited by 47

Digging into HTTPS: flow-based classification of webmail traffic

Schatzmann, D., Mühlbauer, W., Spyropoulos, T., & Dimitropoulos, X. (2010) · Proceedings of the 10th ACM SIGCOMM conference on Internet measurement

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 47

Fusion Blossom: Fast MWPM Decoders for QEC

Wu, Y., & Zhong, L. (2023) · 2023 IEEE International Conference on Quantum Computing and Engineering (QCE)

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 47

Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning

Wu, Q., Gong, X., Xu, K., Manocha, D., Dong, J., & Wang, J. (2021) · IEEE Robotics and Automation Letters

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 47

A customizable wireless food ordering system with realtime customer feedback

Samsudin, N. A., Ahmad Khalid, S. K., Mohd Kohar, M. F. A., Senin, Z., & Ihkasan, M. N. (2011) · 2011 IEEE Symposium on Wireless Technology and Applications (ISWTA)

Mobile and Web ApplicationsMobile Health and mHealth Applications

Cited by 47

Algorithmic harms and digital ageism in the use of surveillance technologies in nursing homes

Berridge, C., & Grigorovich, A. (2022) · Frontiers in Sociology

Ethics and Social Impacts of AITechnology Use by Older Adults

Cited by 47

ADT: Time series anomaly detection for cyber-physical systems via deep reinforcement learning

Yang, X., Howley, E., & Schukat, M. (2024) · Computers & Security

Anomaly Detection Techniques and ApplicationsNetwork Security and Intrusion Detection

Cited by 47

Large Language Models Can Learn Temporal Reasoning

Xiong, S., Payani, A., Kompella, R., & Fekri, F. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 47

Generalization of Forgery Detection With Meta Deepfake Detection Model

Tran, V.-N., Kwon, S.-G., Lee, S.-H., Le, H.-S., & Kwon, K.-R. (2023) · IEEE Access

Digital Media Forensic DetectionFace recognition and analysis

Cited by 47

The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs

Ruis, L., Khan, A., Biderman, S., Hooker, S., Rocktäschel, T., & Grefenstette, E. (2023) · Advances in Neural Information Processing Systems 36

Natural Language Processing TechniquesSyntax, Semantics, Linguistic Variation

Cited by 47

An Introduction to Vision-Language Modeling

Bordes, F., Pang, R. Y., Ajay, A., Li, A. C., Bardes, A., Petryk, S., Mañas, O., Lin, Z., Mahmoud, A., Jayaraman, B., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 47

HeteroMed: Heterogeneous Information Network for Medical Diagnosis

Hosseini, A., Chen, T., Wu, W., Sun, Y., & Sarrafzadeh, M. (2018) · Proceedings of the 27th ACM International Conference on Information and Knowledge Management

Machine Learning in HealthcareAdvanced Graph Neural Networks

Cited by 47

Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection

Coccomini, D. A., Caldelli, R., Falchi, F., Gennaro, C., & Amato, G. (2022) · Proceedings of the 1st International Workshop on Multimedia AI against Disinformation

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 47

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Zhang, Q., Chen, M., Bukharin, A., Karampatziakis, N., He, P., Cheng, Y., Chen, W., & Zhao, T. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 47

On opportunities and challenges of large multimodal foundation models in education

Küchemann, S., Avila, K. E., Dinc, Y., Hortmann, C., Revenga, N., Ruf, V., Stausberg, N., Steinert, S., Fischer, F., Fischer, M., et al. (2025) · npj Science of Learning

Multimodal Machine Learning ApplicationsArtificial Intelligence in Education

Cited by 47

Interacting with next-phrase suggestions: How suggestion systems aid and influence the cognitive processes of writing

Bhat, A., Agashe, S., Mohile, N., Oberoi, P., Jangir, R., & Joshi, A. (2022) · arXiv

Natural Language Processing TechniquesInnovative Human-Technology Interaction

Cited by 47

Regaining Lost Cycles with HotCalls: A Fast Interface for SGX Secure Enclaves

Weisse, O., Bertacco, V., & Austin, T. (2017) · ACM SIGARCH Computer Architecture News

Security and Verification in ComputingParallel Computing and Optimization Techniques

Cited by 47

Psychosocial Modeling of Insider Threat Risk Based on Behavioral and Word Use Analysis

Greitzer, Kangas, Noonan, Brown, & Ferryman (2013) · e-Service Journal

Information and Cyber SecurityUser Authentication and Security Systems

Cited by 47

Happiness level prediction with sequential inputs via multiple regressions

Li, J., Roy, S., Feng, J., & Sim, T. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionFace recognition and analysis

Cited by 47

Load Balancing Optimization Based on Deep Learning Approach in Cloud Environment

Associate Professor, C. E. C., Kaur, A., Kaur, B., Singh, P., Devgan, M. S., & Toor, H. K. (2020) · International Journal of Information Technology and Computer Science

Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems

Cited by 47