Check computer science papers: citations, claims and retractions

CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension

Zhao, Z., Zhou, G., Xie, Z., Wu, L., & Huang, J. X. (2024) · ACM Transactions on Intelligent Systems and Technology

Topic ModelingAdvanced Graph Neural Networks

Cited by 29

A New Chaos-Based Cryptosystem for Secure Transmitted Images

Awad, A. (2015) · arXiv

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 29

Keep Me Updated! Memory Management in Long-term Conversations

Bae, S., Kwak, D., Kang, S., Lee, M. Y., Kim, S., Jeong, Y., Kim, H., Lee, S.-W., Park, W., & Sung, N. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 29

A New Image Encryption Scheme Based on 6D Hyperchaotic System and Random Signal Insertion

Sun, S. (2023) · IEEE Access

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 29

Self-sovereign and Decentralized identity as the future of identity management?

Kubach, M., Schunck, C. H., Sellung, R., & Roßnagel, H. (2020) · Gesellschaft für Informatik e.V.

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 29

XGest: Enabling Cross-Label Gesture Recognition with RF Signals

Zhang, Y., Yang, Z., Zhang, G., Wu, C., & Zhang, L. (2021) · ACM Transactions on Sensor Networks

Hand Gesture Recognition SystemsContext-Aware Activity Recognition Systems

Cited by 29

Video based activity recognition in trauma resuscitation

Chakraborty, I., Elgammal, A., & Burd, R. S. (2013) · 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 29

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Yu, J., Wang, X., Tu, S., Cao, S., Zhang-Li, D., Lv, X., Peng, H., Yao, Z., Zhang, X., Li, H., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 29

Older Adults’ Think-Aloud Verbalizations and Speech Features for Identifying User Experience Problems

Fan, M., Zhao, Q., & Tibdewal, V. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 29

A survey of wireless security

Prodanovic, R., & Simic, D. (2007) · Journal of Computing and Information Technology

Wireless Networks and ProtocolsSecurity in Wireless Sensor Networks

Cited by 29

Generative AI mitigates representation bias and improves model fairness through synthetic health data

Marchesi, R., Micheletti, N., I-Hsien Kuo, N., Barbieri, S., Jurman, G., & Osmani, V. (2025) · PLOS Computational Biology

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 29

LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization

Krishna, K., Bransom, E., Kuehl, B., Iyyer, M., Dasigi, P., Cohan, A., & Lo, K. (2023) · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Topic ModelingAdvanced Text Analysis Techniques

Cited by 29

A Convolutional Neural Network Bird Species Recognizer Built From Little Data by Iteratively Training, Detecting, and Labeling

Eichinski, P., Alexander, C., Roe, P., Parsons, S., & Fuller, S. (2022) · Frontiers in Ecology and Evolution

Music and Audio ProcessingAnimal Vocal Communication and Behavior

Cited by 29

Unsupervised deep representation learning to remove motion artifacts in free-mode body sensor networks

Mohammed, S., & Tashev, I. (2017) · 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

Context-Aware Activity Recognition SystemsWireless Body Area Networks

Cited by 29

What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning

Pan, J., Gao, T., Chen, H., & Chen, D. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 29

Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning

Zhang, Y., Song, Y., Liang, J., Bai, K., & Yang, Q. (2020) · Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Adversarial Robustness in Machine LearningDomain Adaptation and Few-Shot Learning

Cited by 29

Feature Augmented Memory with Global Attention Network for VideoQA

Cai, J., Yuan, C., Shi, C., Li, L., Cheng, Y., & Shan, Y. (2020) · Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 29

Understanding the Mechanics of Persuasive System Design: A Mixed-Method Theory-driven Analysis of Freeletics

Schneider, H., Moser, K., Butz, A., & Alt, F. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 29

Investigating Affective Use and Emotional Well-being on ChatGPT

Phang, J., Lampe, M., Ahmad, L., Agarwal, S., Fang, C. M., Liu, A. R., Danry, V., Lee, E., Chan, S. W. T., Pataranutaporn, P., et al. (2025) · arXiv

Innovative Human-Technology InteractionSocial Robot Interaction and HRI

Cited by 29

Automatic subject indexing using an associative neural network

Chung, Y.-M., Pottenger, W. M., & Schatz, B. R. (1998) · Proceedings of the third ACM conference on Digital libraries - DL '98

Advanced Text Analysis TechniquesInformation Retrieval and Search Behavior

Cited by 29

SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning

Rana, K., Haviland, J., Garg, S., Abou-Chakra, J., Reid, I., & Suenderhauf, N. (2023) · arXiv

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 29

Coarse-to-fine Disentangling Demoiréing Framework for Recaptured Screen Images

Wang, C., He, B., Wu, S., Wan, R., Shi, B., & Duan, L.-Y. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image Processing TechniquesImage Enhancement Techniques

Cited by 29

Accelerating Transformer Inference for Translation via Parallel Decoding

Santilli, A., Severino, S., Postolache, E., Maiorca, V., Mancusi, M., Marin, R., & Rodola, E. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 29

"Why did this voice agent not understand me?": error recovery strategy for in-vehicle voice user interface

Kim, J., Jeong, M., & Lee, S. C. (2019) · Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings

Speech and dialogue systemsHuman-Automation Interaction and Safety

Cited by 29