Check computer science papers: citations, claims and retractions

Deep Video Anomaly Detection: Opportunities and Challenges

Ren, J., Xia, F., Liu, Y., & Lee, I. (2021) · 2021 International Conference on Data Mining Workshops (ICDMW)

Anomaly Detection Techniques and ApplicationsHuman Pose and Action Recognition

Cited by 84

Data quality in healthcare: A report of practical experience with the Canadian Primary Care Sentinel Surveillance Network data

Ehsani-Moghaddam, B., Martin, K., & Queenan, J. A. (2021) · Health Information Management Journal

Data Quality and ManagementMedical Coding and Health Information

Cited by 84

Social bot detection in the age of ChatGPT: Challenges and opportunities

Ferrara, E. (2023) · First Monday

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 84

Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis

Ma, H., Liu, Z.-X., Zhang, J.-J., Wu, F.-T., Xu, C.-F., Shen, Z., Yu, C.-H., & Li, Y.-M. (2020) · World Journal of Gastroenterology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 84

Exploiting Unlabeled Data in Smart Cities using Federated Edge Learning

Albaseer, A., Ciftler, B. S., Abdallah, M., & Al-Fuqaha, A. (2020) · 2020 International Wireless Communications and Mobile Computing (IWCMC)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 84

Reprioritizing the relationship between HCI research and practice: bubble-up and trickle-down effects

Gray, C. M., Stolterman, E., & Siegel, M. A. (2014) · Proceedings of the 2014 conference on Designing interactive systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 84

An empirical study of software reuse vs. defect-density and stability

Mohagheghi, P., Conradi, R., Killi, O. M., & Schwarz, H. (2004) · Proceedings. 26th International Conference on Software Engineering

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 84

Progressive Disclosure: When, Why, and How Do Users Want Algorithmic Transparency Information?

Springer, A., & Whittaker, S. (2020) · ACM Transactions on Interactive Intelligent Systems

Explainable Artificial Intelligence (XAI)Innovative Human-Technology Interaction

Cited by 84

Riffle: An Efficient Communication System With Strong Anonymity

Kwon, A., Lazar, D., Devadas, S., & Ford, B. (2016) · Proceedings on Privacy Enhancing Technologies

Internet Traffic Analysis and Secure E-votingCryptography and Data Security

Cited by 84

ProgramBench: Can Language Models Rebuild Programs From Scratch?

Yang, J., Lieret, K., Ma, J., Thakkar, P., Pedchenko, D., Sootla, S., McMilin, E., Yin, P., Hou, R., Synnaeve, G., et al. (2026) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 84

How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

Hanna, M., Liu, O., & Variengien, A. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 84

Blind PRNU-Based Image Clustering for Source Identification

Marra, F., Poggi, G., Sansone, C., & Verdoliva, L. (2017) · IEEE Transactions on Information Forensics and Security

Digital Media Forensic DetectionImage and Video Quality Assessment

Cited by 84

Multi-sensory and sensorimotor foundation of bodily self-consciousness—an interdisciplinary approach

Ionta, S., Gassert, R., & Blanke, O. (2011) · Frontiers in Psychology

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 84

A Single LiDAR-Based Feature Fusion Indoor Localization Algorithm

Wang, Y.-T., Peng, C.-C., Ravankar, A. A., & Ravankar, A. (2018) · Sensors

Robotics and Sensor-Based LocalizationIndoor and Outdoor Localization Technologies

Cited by 84

Pilot randomized trial of self-guided virtual reality exposure therapy for social anxiety disorder

Zainal, N. H., Chan, W. W., Saxena, A. P., Taylor, C. B., & Newman, M. G. (2021) · Behaviour Research and Therapy

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 84

Health promotion as activism: building community capacity to effect social change

Parker, A., Kantroo, V., Lee, H. R., Osornio, M., Sharma, M., & Grinter, R. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 84

Alpha band oscillations correlate with illusory self-location induced by virtual reality: Electrophysiology of bodily self-consciousness

Lenggenhager, B., Halje, P., & Blanke, O. (2011) · European Journal of Neuroscience

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 84

Self-supervised Learning is More Robust to Dataset Imbalance

Liu, H., HaoChen, J. Z., Gaidon, A., & Ma, T. (2021) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 84

A Capsule Network Based Approach for Detection of Audio Spoofing Attacks

Luo, A., Li, E., Liu, Y., Kang, X., & Wang, Z. J. (2021) · ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 84

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity

Xie, Y., Wang, Z., Gao, D., Chen, D., Yao, L., Kuang, W., Li, Y., Ding, B., & Zhou, J. (2023) · Proceedings of the VLDB Endowment

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 84

AI assisted ethics

Etzioni, A., & Etzioni, O. (2016) · Ethics and Information Technology

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 84

Visibility into AI Agents

Chan, A., Ezell, C., Kaufmann, M., Wei, K., Hammond, L., Bradley, H., Bluemke, E., Rajkumar, N., Krueger, D., Kolt, N., et al. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 84

Discovering Opinion Spammer Groups by Network Footprints

Ye, J., & Akoglu, L. (2015) · Proceedings of the 2015 ACM on Conference on Online Social Networks

Spam and Phishing DetectionComplex Network Analysis Techniques

Cited by 84

E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning

Xu, H., Yan, M., Li, C., Bi, B., Huang, S., Xiao, W., & Huang, F. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 84