Check computer science papers: citations, claims and retractions

Generalization Guarantees for Imitation Learning

Ren, A. Z., Veer, S., & Majumdar, A. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 17

Summarise, elaborate, try again: exploring the effect of feedback literacy on AI-enhanced essay writing

Hawkins, B., Taylor-Griffiths, D., & Lodge, J. M. (2026) · Assessment & Evaluation in Higher Education

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 17

Increasing Pupil Size Is Associated with Increasing Cognitive Processing Demands: A Pilot Study Using a Mobile Eye-Tracking Device

Szulewski, A., Fernando, S. M., Baylis, J., & Howes, D. (2014) · Open Journal of Emergency Medicine

Gaze Tracking and Assistive TechnologyOphthalmology and Visual Health Research

Cited by 17

A Flexible and Privacy-Preserving Collaborative Filtering Scheme in Cloud Computing for VANETs

Yang, H., Shen, J., Zhou, T., Ji, S., & Vijayakumar, P. (2022) · ACM Transactions on Internet Technology

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 17

HourVideo: 1-Hour Video-Language Understanding

Chandrasegaran, K., Gupta, A., Hadzic, L. M., Kota, T., He, J., Eyzaguirre, C., Durante, Z., Li, M., Wu, J., & Fei-Fei, L. (2024) · arXiv

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 17

Sparks of Large Audio Models: A Survey and Outlook

Latif, S., Shoukat, M., Shamshad, F., Usama, M., Ren, Y., Cuayáhuitl, H., Wang, W., Zhang, X., Togneri, R., Cambria, E., et al. (2023) · arXiv

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 17

Cyber Risk Management for the Internet of Things

Radanliev, P., Charles De Roure, D., R.C. Nurse, J., Burnap, P., Anthi, E., Uchenna, A., Maddox, L., Santos, O., & Mantilla Montalvo, R. (2019) · Preprints.org

Information and Cyber SecurityIoT and Edge/Fog Computing

Cited by 17

Understanding Security Risks of Embedded Devices Through Fine-Grained Firmware Fingerprinting

Li, Q., Tan, D., Ge, X., Wang, H., Li, Z., & Liu, J. (2022) · IEEE Transactions on Dependable and Secure Computing

IoT and Edge/Fog ComputingSecurity and Verification in Computing

Cited by 17

Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In

Yu, Z., Xiong, C., Yu, S., & Liu, Z. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 17

Automatically Dismantling Online Dating Fraud

Suarez-Tangil, G., Edwards, M., Peersman, C., Stringhini, G., Rashid, A., & Whitty, M. (2020) · IEEE Transactions on Information Forensics and Security

Spam and Phishing DetectionCybercrime and Law Enforcement Studies

Cited by 17

Enhancing Computational Thinking and Problemsolving in Programming Education Through Generative AI: A Scoped Review

Matobobo, C., Ncube, P. D. N., Ngesimani, N. L., Dzvapatsva, G. P., & Chinhamo, E. (2025) · 2025 IEEE Global Engineering Education Conference (EDUCON)

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 17

PaSh: light-touch data-parallel shell processing

Vasilakis, N., Kallas, K., Mamouras, K., Benetopoulos, A., & Cvetković, L. (2021) · Proceedings of the Sixteenth European Conference on Computer Systems

Parallel Computing and Optimization TechniquesLogic, programming, and type systems

Cited by 17

$360+x$: A Panoptic Multi-modal Scene Understanding Dataset

Chen, H., Hou, Y., Qu, C., Testini, I., Hong, X., & Jiao, J. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 17

Improving Lightweight Convolutional Neural Network for Facial Expression Recognition via Transfer Learning

Wikanningrum, A., Rachmadi, R. F., & Ogata, K. (2019) · 2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 17

Anomaly Detection Based on Selection and Weighting in Latent Space

Liao, Y., Bartler, A., & Yang, B. (2021) · 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)

Anomaly Detection Techniques and ApplicationsFault Detection and Control Systems

Cited by 17

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models

Stolfo, A., Jin, Z., Shridhar, K., Schoelkopf, B., & Sachan, M. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesLogic, Reasoning, and Knowledge

Cited by 17

Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering

Si, C., Zhang, Y., Li, R., Yang, Z., Liu, R., & Yang, D. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Software Engineering ResearchMultimodal Machine Learning Applications

Cited by 17

Defending Against Social Engineering Attacks in the Age of LLMs

Ai, L., Kumarage, T. S., Bhattacharjee, A., Liu, Z., Hui, Z., Davinroy, M. S., Cook, J., Cassani, L., Trapeznikov, K., Kirchner, M., et al. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Adversarial Robustness in Machine LearningSpam and Phishing Detection

Cited by 17

Tangle Ledger for Decentralized Learning

Schmid, R., Pfitzner, B., Beilharz, J., Arnrich, B., & Polze, A. (2020) · 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 17

Abstraction for Deep Reinforcement Learning

Shanahan, M., & Mitchell, M. (2022) · Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 17

One-class learning with adaptive centroid shift for audio deepfake detection

Kim, H. M., Jang, K., & Kim, H. (2024) · Interspeech 2024

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 17

Federated transfer learning with differential privacy for multi-omics survival analysis

Wen, G., & Li, L. (2025) · Briefings in Bioinformatics

Privacy-Preserving Technologies in DataBioinformatics and Genomic Networks

Cited by 17

An RFID Based Smart Feeder for Hummingbirds

Ibarra, V., Araya-Salas, M., Tang, Y.-P., Park, C., Hyde, A., Wright, T., & Tang, W. (2015) · Sensors

RFID technology advancementsArduino and IoT Applications

Cited by 17

Social talk: making conversation with people and machine

Gilmartin, E., Collery, M., Su, K., Huang, Y., Elias, C., Cowan, B. R., & Campbell, N. (2017) · Proceedings of the 1st ACM SIGCHI International Workshop on Investigating Social Interactions with Artificial Agents

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 17