Check computer science papers: citations, claims and retractions

Effects of interactivity and 3D-motion on mental rotation brain activity in an immersive virtual environment

Sjölie, D., Bodin, K., Elgh, E., Eriksson, J., Janlert, L.-E., & Nyberg, L. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Virtual Reality Applications and ImpactsSpatial Cognition and Navigation

Cited by 19

Glioblastoma surgery imaging-reporting and data system: validation and performance of the automated segmentation task

Bouget, D., Eijgelaar, R. S., Pedersen, A., Kommers, I., Ardon, H., Barkhof, F., Bello, L., Berger, M. S., Nibali, M. C., Furtner, J., et al. (2021) · Cancers

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 19

Federated Learning with Deep Neural Networks: A Privacy-Preserving Approach to Enhanced ECG Classification

Weimann, K., & Conrad, T. O. F. (2024) · IEEE Journal of Biomedical and Health Informatics

Privacy-Preserving Technologies in DataECG Monitoring and Analysis

Cited by 19

MLModelCI: An Automatic Cloud Platform for Efficient MLaaS

Zhang, H., Li, Y., Huang, Y., Wen, Y., Yin, J., & Guan, K. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Cloud Computing and Resource ManagementSoftware System Performance and Reliability

Cited by 19

Social engineering and digital technologies for the security of the social capital' development

Pokrovskaia, N. N., & Snisarenko, S. O. (2017) · 2017 International Conference "Quality Management,Transport and Information Security, Information Technologies" (IT&QM&IS)

Information and Cyber SecurityPrivacy, Security, and Data Protection

Cited by 19

Who's Harry Potter? Approximate Unlearning in LLMs

Eldan, R., & Russinovich, M. (2023) · arXiv

Privacy-Preserving Technologies in DataTopic Modeling

Cited by 19

Multi-view point-based Registration for Native Knee Kinematics Measurement with Feature Transfer Learning.

Wang, C., Xie, S., Li, K., Wang, C., Liu, X., Zhao, L., & Tsai, T.-Y. (2021) · Engineering

Medical Image Segmentation TechniquesKnee injuries and reconstruction techniques

Cited by 19

Hybrid Edge-AI Framework for Intelligent Mobile Applications: Leveraging Large Language Models for On-device Contextual Assistance and Code-Aware Automation

Hu, L. (2025) · Journal of Industrial Engineering and Applied Science

Software Engineering ResearchMobile and Web Applications

Cited by 19

Positivity Bias in Customer Satisfaction Ratings

Park, K., Cha, M., & Rhim, E. (2018) · Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18

Sentiment Analysis and Opinion MiningCustomer Service Quality and Loyalty

Cited by 19

Surveyor: A System for Generating Coherent Survey Articles for Scientific Topics

Jha, R., Coke, R., & Radev, D. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Text Analysis TechniquesTopic Modeling

Cited by 19

Argument Mining Driven Analysis of Peer-Reviews

Fromm, M., Faerman, E., Berrendorf, M., Bhargava, S., Qi, R., Zhang, Y., Dennert, L., Selle, S., Mao, Y., & Seidl, T. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Sentiment Analysis and Opinion MiningMulti-Agent Systems and Negotiation

Cited by 19

Students' Use of GitHub Copilot for Working with Large Code Bases

Shah, A., Chernova, A., Tomson, E., Porter, L., Griswold, W. G., & Soosai Raj, A. G. (2025) · Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 19

A Systematic Comparison of Large Language Models Performance for Intrusion Detection

Bui, M.-T., Boffa, M., Valentim, R. V., Navarro, J. M., Chen, F., Bao, X., Houidi, Z. B., & Rossi, D. (2024) · Proceedings of the ACM on Networking

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 19

Human-Timescale Adaptation in an Open-Ended Task Space

Adaptive Agent Team, Bauer, J., Baumli, K., Baveja, S., Behbahani, F., Bhoopchand, A., Bradley-Schmieg, N., Chang, M., Clay, N., Collister, A., et al. (2023) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 19

A Secure Softwarized Blockchain-based Federated Health Alliance for Next Generation IoT Networks

Das, P., Singh, M., & Roy, D. G. (2021) · 2021 IEEE Globecom Workshops (GC Wkshps)

Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data

Cited by 19

Defense Against Adversarial Attacks on Audio DeepFake Detection

Kawa, P., Plata, M., & Syga, P. (2023) · INTERSPEECH 2023

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 19

Learning phenotypes and dynamic patient representations via RNN regularized collective non-negative tensor factorization

Yin, K., Qian, D., Cheung, W. K., Fung, B. C. M., & Poon, J. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Machine Learning in HealthcareTensor decomposition and applications

Cited by 19

Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation

Wong, J., Tung, A., Kurenkov, A., Mandlekar, A., Fei-Fei, L., Savarese, S., & Martín-Martín, R. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 19

Perception Encoder: The best visual embeddings are not at the output of the network

Bolya, D., Huang, P.-Y., Sun, P., Cho, J. H., Madotto, A., Wei, C., Ma, T., Zhi, J., Rajasegaran, J., Rasheed, H., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 19

Foundational Challenges in Assuring Alignment and Safety of Large Language Models

Anwar, U., Saparov, A., Rando, J., Paleka, D., Turpin, M., Hase, P., Lubana, E. S., Jenner, E., Casper, S., Sourbut, O., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 19

Isolation-based feature Selection for Unsupervised Outlier Detection

Yang, Q., Singh, J., & Lee, J. (2019) · Annual Conference of the PHM Society

Anomaly Detection Techniques and ApplicationsAdvanced Statistical Methods and Models

Cited by 19

Open-World Continual Learning: Unifying Novelty Detection and Continual Learning

Kim, G., Xiao, C., Konishi, T., Ke, Z., & Liu, B. (2023) · arXiv

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 19

Evidence for Hypodescent in Visual Semantic AI

Wolfe, R., Banaji, M. R., & Caliskan, A. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIFace recognition and analysis

Cited by 19

Sample Specific Generalized Cross Entropy for Robust Histology Image Classification

Kurian, N. C., Meshram, P. S., Patil, A., Patel, S., & Sethi, A. (2021) · 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)

AI in cancer detectionMachine Learning and Data Classification

Cited by 19