Check computer science papers: citations, claims and retractions

A Comprehensive Review of AI Techniques for Resource Management in Fog Computing: Trends, Challenges and Future Directions

Alsadie, D. (2024) · IEEE Access

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 81

Towards Accountability in the Use of Artificial Intelligence for Public Administrations

Loi, M., & Spielkamp, M. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 81

Natural language processing in the era of large language models

Zubiaga, A. (2024) · Frontiers in Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 81

A Utility Optimization Approach to Network Cache Design

Dehghan, M., Massoulie, L., Towsley, D., Menasche, D. S., & Tay, Y. C. (2019) · IEEE/ACM Transactions on Networking

Caching and Content DeliveryAge of Information Optimization

Cited by 81

Blockchain based smart door lock system

Han, D., Kim, H., & Jang, J. (2017) · 2017 International Conference on Information and Communication Technology Convergence (ICTC)

Blockchain Technology Applications and SecurityIoT-based Smart Home Systems

Cited by 81

Can we Automatically Transform Speech Recorded on Common Consumer Devices in Real-World Environments into Professional Production Quality Speech?—A Dataset, Insights, and Challenges

Mysore, G. J. (2015) · IEEE Signal Processing Letters

Speech and Audio ProcessingSpeech Recognition and Synthesis

Cited by 81

Segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding vessels in CT images using deep convolutional neural networks and texture descriptors

Mahmoudi, T., Kouzahkanan, Z. M., Radmard, A. R., Kafieh, R., Salehnia, A., Davarpanah, A. H., Arabalibeik, H., & Ahmadian, A. (2022) · Scientific Reports

Medical Image Segmentation TechniquesAI in cancer detection

Cited by 81

Cx22: a new publicly available dataset for deep learning-based segmentation of cervical cytology images

Liu, G., Ding, Q., Luo, H., Sha, M., Li, X., & Ju, M. (2022) · Computers in Biology and Medicine

AI in cancer detectionCell Image Analysis Techniques

Cited by 81

SSL: Smart Street Lamp Based on Fog Computing for Smarter Cities

Jia, G., Han, G., Li, A., & Du, J. (2018) · IEEE Transactions on Industrial Informatics

IoT and Edge/Fog ComputingSmart Cities and Technologies

Cited by 80

Overlapping cell nuclei segmentation in microscopic images using deep belief networks

Duggal, R., Gupta, A., Gupta, R., Wadhwa, M., & Ahuja, C. (2016) · Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing

Digital Imaging for Blood DiseasesCell Image Analysis Techniques

Cited by 80

Artificial Intelligence Hits the Barrier of Meaning

Mitchell, M. (2019) · Information

Artificial Intelligence ApplicationsPsychiatry, Mental Health, Neuroscience

Cited by 80

Accuracy, Consistency, and Hallucination of Large Language Models When Analyzing Unstructured Clinical Notes in Electronic Medical Records

Shah, S. V. (2024) · JAMA Network Open

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 80

Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models

Ferdaus, M. M., Abdelguerfi, M., Ioup, E., Niles, K. N., Pathak, K., & Sloan, S. (2024) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 80

Anonymisation Models for Text Data: State of the art, Challenges and Future Directions

Lison, P., Pilán, I., Sanchez, D., Batet, M., & Øvrelid, L. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Privacy-Preserving Technologies in DataTopic Modeling

Cited by 80

Modeling the Stuxnet attack with BDMP: Towards more formal risk assessments

Kriaa, S., Bouissou, M., & Pietre-Cambacedes, L. (2012) · 2012 7th International Conference on Risks and Security of Internet and Systems (CRiSIS)

Information and Cyber SecuritySmart Grid Security and Resilience

Cited by 80

PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing

Fan, H., & Yang, Y. (2019) · arXiv

3D Shape Modeling and AnalysisData Management and Algorithms

Cited by 80

somoclu : An Efficient Parallel Library for Self-Organizing Maps

Wittek, P., Gao, S. C., Lim, I. S., & Zhao, L. (2017) · Journal of Statistical Software

Neural Networks and ApplicationsParallel Computing and Optimization Techniques

Cited by 80

A Scoping Review of Augmented/Virtual Reality Health and Wellbeing Interventions for Older Adults: Redefining Immersive Virtual Reality

Carroll, J., Hopper, L., Farrelly, A. M., Lombard-Vance, R., Bamidis, P. D., & Konstantinidis, E. I. (2021) · Frontiers in Virtual Reality

Virtual Reality Applications and ImpactsAugmented Reality Applications

Cited by 80

Adaptive intelligent tutoring systems for STEM education: analysis of the learning impact and effectiveness of personalized feedback

Villegas-Ch, W., Buenano-Fernandez, D., Navarro, A. M., & Mera-Navarrete, A. (2025) · Smart Learning Environments

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 80

Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior

Sarker, I. H., Colman, A., Kabir, M. A., & Han, J. (2018) · The Computer Journal

Time Series Analysis and ForecastingHuman Mobility and Location-Based Analysis

Cited by 80

Neural point cloud rendering via multi-plane projection

Dai, P., Zhang, Y., Li, Z., Liu, S., & Zeng, B. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 80

Dealing with Risk: A Practical Approach

Heemstra, F. J., & Kusters, R. J. (1996) · Journal of Information Technology

Software Engineering Techniques and PracticesConstruction Project Management and Performance

Cited by 80

An evaluation of wearable activity monitoring devices

Guo, F., Li, Y., Kankanhalli, M. S., & Brown, M. S. (2013) · Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia

Context-Aware Activity Recognition SystemsInnovative Human-Technology Interaction

Cited by 80

Distortion invariant object recognition by matching hierarchically labeled graphs

Buhmann, Lange, & von der Malsburg (1989) · International Joint Conference on Neural Networks

Face and Expression RecognitionAdvanced Image and Video Retrieval Techniques

Cited by 80