Check computer science papers: citations, claims and retractions

Moving beyond the Turing Test with the Allen AI Science Challenge

Schoenick, C., Clark, P., Tafjord, O., Turney, P., & Etzioni, O. (2017) · Communications of the ACM

Artificial Intelligence ApplicationsTopic Modeling

Cited by 54

In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making

Fok, R., & Weld, D. S. (2023) · arXiv

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

Cited by 54

Robust hardware true random number generators using DRAM remanence effects

Tehranipoor, F., Yan, W., & Chandy, J. A. (2016) · 2016 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)

Physical Unclonable Functions (PUFs) and Hardware SecurityCryptographic Implementations and Security

Cited by 54

Real or fake text?: Investigating human ability to detect boundaries between human-written and machine-generated text

Dugan, L., Ippolito, D., Kirubarajan, A., Shi, S., & Callison-Burch, C. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 54

Face Recognition Based on Deep Learning and FPGA for Ethnicity Identification

AlBdairi, A. J. A., Xiao, Z., Alkhayyat, A., Humaidi, A. J., Fadhel, M. A., Taher, B. H., Alzubaidi, L., Santamaría, J., & Al-Shamma, O. (2022) · Applied Sciences

Face recognition and analysisAdvanced Neural Network Applications

Cited by 54

Enabling and Enforcing Social Distancing Measures using Smart City and ITS Infrastructures: A COVID-19 Use Case

Gupta, M., Abdelsalam, M., & Mittal, S. (2020) · arXiv

COVID-19 Digital Contact TracingSmart Cities and Technologies

Cited by 54

Depth map guided triplet network for deepfake face detection

Liang, B., Wang, Z., Huang, B., Zou, Q., Wang, Q., & Liang, J. (2023) · Neural Networks

Digital Media Forensic DetectionFace recognition and analysis

Cited by 54

Neural natural language generation: A survey on multilinguality, multimodality, controllability and learning

Erdem, E., Kuyu, M., Yagcioglu, S., Frank, A., Parcalabescu, L., Plank, B., Babii, A., Turuta, O., Erdem, A., Calixto, I., et al. (2022) · Journal of Artificial Intelligence Research

Topic ModelingNatural Language Processing Techniques

Cited by 54

BiasAsker: Measuring the Bias in Conversational AI System

Wan, Y., Wang, W., He, P., Gu, J., Bai, H., & Lyu, M. R. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 54

The Impact of Positional Encoding on Length Generalization in Transformers

Kazemnejad, A., Padhi, I., Ramamurthy, K. N., Das, P., & Reddy, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 54

Multi-Game Decision Transformers

Lee, K.-H., Nachum, O., Yang, M. (., Lee, L., Freeman, D., Guadarrama, S., Fischer, I., Xu, W., Jang, E., Michalewski, H., et al. (2022) · Advances in Neural Information Processing Systems 35

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 54

Managing the Quality of Experience in the Multimedia Internet of Things: A Layered-Based Approach

Floris, A., & Atzori, L. (2016) · Sensors

Image and Video Quality AssessmentIoT and Edge/Fog Computing

Cited by 54

Decomposition Methods for Linear Support Vector Machines

Kao, W.-C., Chung, K.-M., Sun, C.-L., & Lin, C.-J. (2004) · Neural Computation

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 54

DebugBench: Evaluating Debugging Capability of Large Language Models

Tian, R., Ye, Y., Qin, Y., Cong, X., Lin, Y., Pan, Y., Wu, Y., Haotian, H., Weichuan, L., Liu, Z., et al. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Software Testing and Debugging TechniquesNatural Language Processing Techniques

Cited by 54

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Shi, W., Xu, R., Zhuang, Y., Yu, Y., Zhang, J., Wu, H., Zhu, Y., Ho, J. C., Yang, C., & Wang, M. D. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 54

Qubit Mapping and Routing via MaxSAT

Molavi, A., Xu, A., Diges, M., Pick, L., Tannu, S., & Albarghouthi, A. (2022) · 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO)

Quantum Computing Algorithms and ArchitectureVLSI and FPGA Design Techniques

Cited by 54

Question answering by reasoning across documents with graph convolutional networks

De Cao, N., Aziz, W., & Titov, I. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Topic ModelingAdvanced Graph Neural Networks

Cited by 54

“The Computer Said So”: On the Ethics, Effectiveness, and Cultural Techniques of Predictive Policing

Karppi, T. (2018) · Social Media + Society

Ethics and Social Impacts of AIPolicing Practices and Perceptions

Cited by 54

Deep learning in ovarian cancer diagnosis: a comprehensive review of various imaging modalities

Sadeghi, M. H., Sina, S., Omidi, H., Farshchitabrizi, A. H., & Alavi, M. (2024) · Polish Journal of Radiology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 54

Event-driven Re-Id: A New Benchmark and Method Towards Privacy-Preserving Person Re-Identification

Ahmad, S., Scarpellini, G., Morerio, P., & Bue, A. D. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

Video Surveillance and Tracking MethodsGait Recognition and Analysis

Cited by 54

ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases

Zhong, Z., Raghunathan, A., & Carlini, N. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 54

Real-Time Scalable Visual Tracking via Quadrangle Kernelized Correlation Filters

Ding, G., Chen, W., Zhao, S., Han, J., & Liu, Q. (2018) · IEEE Transactions on Intelligent Transportation Systems

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 54

Contestability in Algorithmic Systems

Vaccaro, K., Karahalios, K., Mulligan, D. K., Kluttz, D., & Hirsch, T. (2019) · Companion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 54

Analysis of user behavior under error conditions in spoken dialogs

Shin, J., Narayanan, S. S., Gerber, L., Kazemzadeh, A., & Byrd, D. (2002) · 7th International Conference on Spoken Language Processing (ICSLP 2002)

Speech and dialogue systemsSpeech Recognition and Synthesis

Cited by 54