Check computer science papers: citations, claims and retractions

Artificial Intelligence in the Diagnosis and Treatment of Pancreatic Cystic Lesions and Adenocarcinoma

Jiang, J., Chao, W.-L., Culp, S., & Krishna, S. G. (2023) · Cancers

AI in cancer detectionPancreatic and Hepatic Oncology Research

Cited by 38

An efficient security system for CABAC bin-strings of H.264/SVC

Asghar, M. N., & Ghanbari, M. (2013) · IEEE Transactions on Circuits and Systems for Video Technology

Video Coding and Compression TechnologiesChaos-based Image/Signal Encryption

Cited by 38

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Nakamoto, M., Zhai, Y., Singh, A., Mark, M. S., Ma, Y., Finn, C., Kumar, A., & Levine, S. (2023) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 38

Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?

Pham, L., Ha, H., & Zhang, H. (2024) · Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 38

Automatic classification of literature in systematic reviews on food safety using machine learning

van den Bulk, L. M., Bouzembrak, Y., Gavai, A., Liu, N., van den Heuvel, L. J., & Marvin, H. J. P. (2022) · Current Research in Food Science

Text and Document Classification TechnologiesMeta-analysis and systematic reviews

Cited by 38

Mapping visual features to semantic profiles for retrieval in medical imaging

Hofmanninger, J., & Langs, G. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Image Retrieval and Classification TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 38

Generative Language Models for Paragraph-Level Question Generation

Ushio, A., Alva-Manchego, F., & Camacho-Collados, J. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 38

Learning Affordance Landscapes for Interaction Exploration in 3D Environments

Nagarajan, T., & Grauman, K. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 38

ChatGPT in Healthcare: Exploring AI Chatbot for Spontaneous Word Retrieval in Aphasia

Purohit, A. K., Upadhyaya, A., & Holzer, A. (2023) · Computer Supported Cooperative Work and Social Computing

Speech and dialogue systemsAssistive Technology in Communication and Mobility

Cited by 38

Artificial Intelligence-Enabled Cyberbullying-Free Online Social Networks in Smart Cities

Al-Marghilani, A. (2022) · International Journal of Computational Intelligence Systems

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 38

A Systematic Review of Data-Driven Attack Detection Trends in IoT

Haque, S., El-Moussa, F., Komninos, N., & Muttukrishnan, R. (2023) · Sensors

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 38

On Measuring Faithfulness or Self-consistency of Natural Language Explanations

Parcalabescu, L., & Frank, A. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 38

iPhone: Smarter Than the Average Phone

Want, R. (2010) · IEEE Pervasive Computing

Context-Aware Activity Recognition SystemsMobile and Web Applications

Cited by 38

Implementing Fault-tolerant Entangling Gates on the Five-qubit Code and the Color Code

Ryan-Anderson, C., Brown, N. C., Allman, M. S., Arkin, B., Asa-Attuah, G., Baldwin, C., Berg, J., Bohnet, J. G., Braxton, S., Burdick, N., et al. (2022) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 38

Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs

Wang, H., Wang, R., Mi, F., Deng, Y., Wang, Z., Liang, B., Xu, R., & Wong, K.-F. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Speech and dialogue systemsTopic Modeling

Cited by 38

SynShine: Improved Fixing of Syntax Errors

Ahmed, T., Ledesma, N. R., & Devanbu, P. (2023) · IEEE Transactions on Software Engineering

Software Engineering ResearchTeaching and Learning Programming

Cited by 38

Automated Identification of Tasks in Development Sessions

Coman, I. D., & Sillitti, A. (2008) · 2008 16th IEEE International Conference on Program Comprehension

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 38

Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation

Rashed, H., El Sallab, A., Yogamani, S., & ElHelw, M. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 38

Improving Deep Learning Interpretability by Saliency Guided Training

Ismail, A. A., Bravo, H. C., & Feizi, S. (2021) · arXiv

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 38

Differentially private image classification using support vector machine and differential privacy

Senekane, M. (2019) · Machine Learning and Knowledge Extraction

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 38

A Critical Overview of Industrial Internet of Things Security and Privacy Issues Using a Layer-Based Hacking Scenario

Eyeleko, A. H., & Feng, T. (2023) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingBlockchain Technology Applications and Security

Cited by 38

Analyzing security issues of android mobile health and medical applications

Tangari, G., Ikram, M., Sentana, I. W. B., Ijaz, K., Kaafar, M. A., & Berkovsky, S. (2021) · Journal of the American Medical Informatics Association

Advanced Malware Detection TechniquesMobile Health and mHealth Applications

Cited by 38

Differences in photoplethysmography morphological features and feature time series between two opposite emotions: Happiness and sadness

Li, F., Yang, L., Shi, H., & Liu, C. (2017) · Artery Research

Emotion and Mood RecognitionNon-Invasive Vital Sign Monitoring

Cited by 38

Controllable Guide-Space for Generalizable Face Forgery Detection

Guo, Y., Zhen, C., & Yan, P. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 38