Check computer science papers: citations, claims and retractions

A novel memristor-based hyperchaotic hybrid encryption system with DNA for image encryption on the Jetson TX2

Ulutas, H. (2025) · Scientific Reports

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 17

Egalitarian computing

Biryukov, A., & Khovratovich, D. (2016) · arXiv

Cryptography and Data SecurityCryptographic Implementations and Security

Cited by 17

The role of expectation in multisensory body representation – neural evidence

Ferri, F., Ambrosini, E., Pinti, P., Merla, A., & Costantini, M. (2017) · European Journal of Neuroscience

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 17

Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems

Huang, J., Oosterhuis, H., Mansoury, M., van Hoof, H., & de Rijke, M. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 17

A Survey of Multimodal Sarcasm Detection

Farabi, S., Ranasinghe, T., Kanojia, D., Kong, Y., & Zampieri, M. (2024) · Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence

Sentiment Analysis and Opinion MiningHate Speech and Cyberbullying Detection

Cited by 17

Discovering agents

Kenton, Z., Kumar, R., Farquhar, S., Richens, J., MacDermott, M., & Everitt, T. (2023) · Artificial Intelligence

Bayesian Modeling and Causal InferenceLogic, Reasoning, and Knowledge

Cited by 17

Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations

Rippel, O., Chavan, A., Lei, C., & Merhof, D. (2022) · Proceedings of the 2nd International Conference on Image Processing and Vision Engineering

Anomaly Detection Techniques and ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 17

CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging

Islam, M. A., Ali, M. E., & Parvez, M. R. (2025) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 17

Deep Learning for Video Classification: A Review

Rehman, A., & Belhaouari, S. B. (2021)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 17

Lumiere: A Space-Time Diffusion Model for Video Generation

Bar-Tal, O., Chefer, H., Tov, O., Herrmann, C., Paiss, R., Zada, S., Ephrat, A., Hur, J., Liu, G., Raj, A., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 17

RWKV: Reinventing RNNs for the Transformer Era

Peng, B., Alcaide, E., Anthony, Q., Albalak, A., Arcadinho, S., Biderman, S., Cao, H., Cheng, X., Chung, M., Grella, M., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 17

Examining Zero-Shot Vulnerability Repair with Large Language Models

Pearce, H., Tan, B., Ahmad, B., Karri, R., & Dolan-Gavitt, B. (2021) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 17

An operating environment for dynamic-recursive computer programming systems

Brown, W. S. (1965) · Communications of the ACM

Logic, programming, and type systemsTeaching and Learning Programming

Cited by 17

Emoty: an Emotionally Sensitive Conversational Agent for People with Neurodevelopmental Disorders

Catania, F., Di Nardo, N., Garzotto, F., & Occhiuto, D. (2019) · Proceedings of the Annual Hawaii International Conference on System Sciences

Emotion and Mood RecognitionSocial Robot Interaction and HRI

Cited by 17

Ten Years of Active Learning Techniques and Object Detection: A Systematic Review

Garcia, D., Carias, J., Adão, T., Jesus, R., Cunha, A., & Magalhães, L. G. (2023) · Applied Sciences

Advanced Neural Network ApplicationsMachine Learning and Algorithms

Cited by 17

DreamO: A Unified Framework for Image Customization

Mou, C., Wu, Y., Wu, W., Guo, Z., Zhang, P., Cheng, Y., Luo, Y., Ding, F., Zhang, S., Li, X., et al. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 17

Improving Radiology Report Generation Systems by Removing Hallucinated References to Non-existent Priors

Ramesh, V., Chi, N. A., & Rajpurkar, P. (2022) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 17

PAN: Path Integral Based Convolution for Deep Graph Neural Networks

Ma, Z., Li, M., & Wang, Y. (2019) · arXiv

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 17

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

Gur, I., Furuta, H., Huang, A., Safdari, M., Matsuo, Y., Eck, D., & Faust, A. (2023) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 17

Overview of compression and packet loss effects in speech biometrics

Besacier, L., Mayorga, P., Bonastre, J.-F., Fredouille, C., & Meignier, S. (2003) · IEE Proceedings - Vision, Image, and Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 17

Design and Practice of Security Architecture via DevSecOps Technology

Chen, T., & Suo, H. (2022) · 2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)

Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities

Cited by 17

The Potential of “Segment Anything” (SAM) for Universal Intelligent Ultrasound Image Guidance

Ning, G., Liang, H., Jiang, Z., Zhang, H., & Liao, H. (2023) · BioScience Trends

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 17

Deep learning on sparse manifolds for faster object segmentation

Nascimento, J. C., & Carneiro, G. (2017) · IEEE Transactions on Image Processing

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 17

Sentiment analysis tools should take account of the number of exclamation marks!!!

Teh, P. L., Rayson, P., Pak, I., & Piao, S. (2015) · Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 17