Check computer science papers: citations, claims and retractions

Testing scientific software: A systematic literature review

Kanewala, U., & Bieman, J. M. (2014) · Information and Software Technology

Software Testing and Debugging TechniquesSoftware Engineering Techniques and Practices

Cited by 150

Voice conversion through vector quantization

Abe, M., Nakamura, S., Shikano, K., & Kuwabara, H. (1990) · Journal of the Acoustical Society of Japan (E)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 150

Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense

Krishna, K., Song, Y., Karpinska, M., Wieting, J., & Iyyer, M. (2023) · Advances in Neural Information Processing Systems 36

Authorship Attribution and ProfilingSpam and Phishing Detection

Cited by 150

Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems

Cobbe, J., Lee, M. S. A., & Singh, J. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 150

Deep Learning for RFID-Based Activity Recognition

Li, X., Zhang, Y., Marsic, I., Sarcevic, A., & Burd, R. S. (2016) · Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems CD-ROM

Context-Aware Activity Recognition SystemsRFID technology advancements

Cited by 150

Contrastive Predictive Coding for Human Activity Recognition

Haresamudram, H., Essa, I., & Plötz, T. (2021) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 150

Survey on Self-Supervised Learning: Auxiliary Pretext Tasks and Contrastive Learning Methods in Imaging

Albelwi, S. (2022) · Entropy

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 150

EPPDA: An Efficient Privacy-Preserving Data Aggregation Federated Learning Scheme

Song, J., Wang, W., Gadekallu, T. R., Cao, J., & Liu, Y. (2023) · IEEE Transactions on Network Science and Engineering

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 150

Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks

Mehedi, S. T., Anwar, A., Rahman, Z., & Ahmed, K. (2021) · Sensors

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 150

Visual Adversarial Examples Jailbreak Aligned Large Language Models

Qi, X., Huang, K., Panda, A., Henderson, P., Wang, M., & Mittal, P. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 150

Detection and prediction of insider threats to cyber security: a systematic literature review and meta-analysis

Gheyas, I. A., & Abdallah, A. E. (2016) · Big Data Analytics

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 150

SpEED-QA: Spatial Efficient Entropic Differencing for Image and Video Quality

Bampis, C. G., Gupta, P., Soundararajan, R., & Bovik, A. C. (2017) · IEEE Signal Processing Letters

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 150

Exploring the Design of Tailored Virtual Reality Experiences for People with Dementia

Hodge, J., Balaam, M., Hastings, S., & Morrissey, K. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Virtual Reality Applications and ImpactsTechnology Use by Older Adults

Cited by 150

The Role of AR and VR Technologies in Education Developments: Opportunities and Challenges

Ardiny, H., & Khanmirza, E. (2018) · 2018 6th RSI International Conference on Robotics and Mechatronics (IcRoM)

Augmented Reality ApplicationsVirtual Reality Applications and Impacts

Cited by 150

Reinforcement learning: Computational theory and biological mechanisms

Doya, K. (2007) · HFSP journal

Reinforcement Learning in RoboticsNeural and Behavioral Psychology Studies

Cited by 150

Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images

Wu, G., Kim, M., Wang, Q., Gao, Y., Liao, S., & Shen, D. (2013) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Image and Video Retrieval Techniques

Cited by 149

A Survey on Human Behavior Recognition Using Channel State Information

Wang, Z., Jiang, K., Hou, Y., Dou, W., Zhang, C., Huang, Z., & Guo, Y. (2019) · IEEE Access

Context-Aware Activity Recognition SystemsIndoor and Outdoor Localization Technologies

Cited by 149

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Liu, F., Lin, K., Li, L., Wang, J., Yacoob, Y., & Wang, L. (2023) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 149

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Feng, S., Park, C. Y., Liu, Y., & Tsvetkov, Y. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 149

Model Agnostic Supervised Local Explanations

Plumb, G., Molitor, D., & Talwalkar, A. (2018) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 149

Harms from Increasingly Agentic Algorithmic Systems

Chan, A., Salganik, R., Markelius, A., Pang, C., Rajkumar, N., Krasheninnikov, D., Langosco, L., He, Z., Duan, Y., Carroll, M., et al. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 149

Sketching stencils

Solar-Lezama, A., Arnold, G., Tancau, L., Bodik, R., Saraswat, V., & Seshia, S. (2007) · Proceedings of the 28th ACM SIGPLAN Conference on Programming Language Design and Implementation

Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques

Cited by 149

Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues

Liu, Y., Le-Cong, T., Widyasari, R., Tantithamthavorn, C., Li, L., Le, X.-B. D., & Lo, D. (2024) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 149

Quantum walk on a line with two entangled particles

Omar, Y., Paunković, N., Sheridan, L., & Bose, S. (2006) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 149