Check computer science papers: citations, claims and retractions

An SDN-Based CDN/ISP Collaboration Architecture for Managing High-Volume Flows

Wichtlhuber, M., Reinecke, R., & Hausheer, D. (2015) · IEEE Transactions on Network and Service Management

Caching and Content DeliverySoftware-Defined Networks and 5G

Cited by 86

A Survey on Reinforcement Learning in Aviation Applications

Razzaghi, P., Tabrizian, A., Guo, W., Chen, S., Taye, A., Thompson, E., Bregeon, A., Baheri, A., & Wei, P. (2022) · arXiv

Reinforcement Learning in RoboticsAir Traffic Management and Optimization

Cited by 86

The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future

Straw, I. (2020) · Artificial Intelligence in Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 86

Log-based Abnormal Task Detection and Root Cause Analysis for Spark

Lu, S., Rao, B., Wei, X., Tak, B., Wang, L., & Wang, L. (2017) · 2017 IEEE International Conference on Web Services (ICWS)

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 86

Character-level and Multi-channel Convolutional Neural Networks for Large-scale Authorship Attribution

Ruder, S., Ghaffari, P., & Breslin, J. G. (2016) · arXiv

Authorship Attribution and ProfilingHandwritten Text Recognition Techniques

Cited by 86

Playing games with AIs: the limits of GPT-3 and similar large language models

Sobieszek, A., & Price, T. (2022) · Minds and Machines

Ethics and Social Impacts of AITopic Modeling

Cited by 86

Language-based colorization of scene sketches

Zou, C., Mo, H., Gao, C., Du, R., & Fu, H. (2019) · ACM Transactions on Graphics

Generative Adversarial Networks and Image Synthesis3D Shape Modeling and Analysis

Cited by 86

The impact of commercial health datasets on medical research and health-care algorithms

Alberto, I. R. I., Alberto, N. R. I., Ghosh, A. K., Jain, B., Jayakumar, S., Martinez-Martin, N., McCague, N., Moukheiber, D., Moukheiber, L., Moukheiber, M., et al. (2023) · The Lancet Digital Health

Research Data Management PracticesArtificial Intelligence in Healthcare and Education

Cited by 86

Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a narrative review

Ladbury, C., Zarinshenas, R., Semwal, H., Tam, A., Vaidehi, N., Rodin, A. S., Liu, A., Glaser, S., Salgia, R., & Amini, A. (2022) · Translational Cancer Research

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 86

Quantifying image similarity using measure of enhancement by entropy

Silva, E. A., Panetta, K., & Agaian, S. S. (2007) · SPIE Proceedings

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 86

Engaging the ethics of data science in practice

Barocas, S., & Boyd, D. (2017) · Communications of the ACM

Ethics and Social Impacts of AIBig Data Technologies and Applications

Cited by 86

Exploring and Promoting Diagnostic Transparency and Explainability in Online Symptom Checkers

Tsai, C.-H., You, Y., Gui, X., Kou, Y., & Carroll, J. M. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 86

Why ‘open’ AI systems are actually closed, and why this matters

Widder, D. G., Whittaker, M., & West, S. M. (2024) · Nature

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 86

The Motivation of Technological Scenarios in Augmented Reality (AR): Results of Different Experiments

Cabero-Almenara, J., & Roig-Vila, R. (2019) · Applied Sciences

Augmented Reality ApplicationsMobile Learning in Education

Cited by 86

Citizen science and wildlife biology: Synergies and challenges

Frigerio, D., Pipek, P., Kimmig, S., Winter, S., Melzheimer, J., Diblíková, L., Wachter, B., & Richter, A. (2018) · Ethology

Research Data Management PracticesSpecies Distribution and Climate Change

Cited by 86

Detecting Social and Behavioral Determinants of Health with Structured and Free-Text Clinical Data

Feller, D. J., Bear Don't Walk IV, O. J., Zucker, J., Yin, M. T., Gordon, P., & Elhadad, N. (2020) · Applied Clinical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 86

Algorithmic Security is Insufficient: A Comprehensive Survey on Implementation Attacks Haunting Post-Quantum Security

Canto, A. C., Kaur, J., Kermani, M. M., & Azarderakhsh, R. (2023)

Cryptographic Implementations and SecurityCryptography and Residue Arithmetic

Cited by 86

Target-Driven Visual Navigation by Using Causal Intervention

Zhao, X., Wang, T., Li, Y., Zhang, B., Liu, K., Liu, D., Wang, C., & Snoussi, H. (2024) · IEEE Transactions on Intelligent Vehicles

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 86

Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions

Pezeshkpour, P., & Hruschka, E. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 86

A wearable sensor system for medication adherence prediction

Kalantarian, H., Motamed, B., Alshurafa, N., & Sarrafzadeh, M. (2016) · Artificial Intelligence in Medicine

Context-Aware Activity Recognition SystemsMedication Adherence and Compliance

Cited by 86

Activity recognition and anomaly detection in smart homes

Fahad, L. G., & Tahir, S. F. (2021) · Neurocomputing

Context-Aware Activity Recognition SystemsAnomaly Detection Techniques and Applications

Cited by 86

Multimodal Deep Learning Approach for Joint EEG-EMG Data Compression and Classification

Ben Said, A., Mohamed, A., Elfouly, T., Harras, K., & Wang, Z. J. (2017) · 2017 IEEE Wireless Communications and Networking Conference (WCNC)

Emotion and Mood RecognitionAdvanced Data Compression Techniques

Cited by 86

Model-based Reinforcement Learning: A Survey

Moerland, T. M., Broekens, J., Plaat, A., & Jonker, C. M. (2020) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 86

CodeFill: multi-token code completion by jointly learning from structure and naming sequences

Izadi, M., Gismondi, R., & Gousios, G. (2022) · Proceedings of the 44th International Conference on Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 86