Check computer science papers: citations, claims and retractions

User Behavior Analytics for Anomaly Detection Using LSTM Autoencoder - Insider Threat Detection

Sharma, B., Pokharel, P., & Joshi, B. (2020) · Proceedings of the 11th International Conference on Advances in Information Technology

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 130

Contextual recognition of head gestures,

Morency, L.-P., Sidner, C., Lee, C., & Darrell, T. (2005) · Proceedings of the 7th international conference on Multimodal interfaces

Speech and dialogue systemsHand Gesture Recognition Systems

Cited by 130

Introducing the pervert’s dilemma: a contribution to the critique of Deepfake Pornography

Öhman, C. (2020) · Ethics and Information Technology

Ethics and Social Impacts of AIBioethics and Human Rights Issues

Cited by 130

KISS: Stochastic Packet Inspection Classifier for UDP Traffic

Finamore, A., Mellia, M., Meo, M., & Rossi, D. (2010) · IEEE/ACM Transactions on Networking

Internet Traffic Analysis and Secure E-votingNetwork Packet Processing and Optimization

Cited by 130

Potential of explainable artificial intelligence in advancing renewable energy: Challenges and prospects

Nguyen, V. N., Tarełko, W., Sharma, P., El-Shafay, A. S., Chen, W.-H., Nguyen, P. Q. P., Nguyen, X. P., & Hoang, A. T. (2024) · Energy & Fuels

Explainable Artificial Intelligence (XAI)Artificial Intelligence Applications

Cited by 130

Tetrolet transform: A new adaptive Haar wavelet algorithm for sparse image representation

Krommweh, J. (2010) · Journal of Visual Communication and Image Representation

Advanced Data Compression TechniquesImage and Signal Denoising Methods

Cited by 130

Multi-Field-of-View Deep Learning Model Predicts Nonsmall Cell Lung Cancer Programmed Death-Ligand 1 Status from Whole-Slide Hematoxylin and Eosin Images

Sha, L., Osinski, B. L., Ho, I. Y., Tan, T. L., Willis, C., Weiss, H., Beaubier, N., Mahon, B. M., Taxter, T. J., & Yip, S. S. F. (2019) · Journal of Pathology Informatics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 130

Smart-Edge-CoCaCo: AI-Enabled Smart Edge with Joint Computation, Caching, and Communication in Heterogeneous IoT

Hao, Y., Miao, Y., Tian, Y., Hu, L., Hossain, M. S., Muhammad, G., & Amin, S. U. (2019) · arXiv

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 130

Seismic Arrival-time Picking on Distributed Acoustic Sensing Data using Semi-supervised Learning

Zhu, W., Biondi, E., Li, J., Yin, J., Ross, Z. E., & Zhan, Z. (2023) · Nature Communications

Seismology and Earthquake StudiesSeismic Waves and Analysis

Cited by 130

Open-Domain Question Answering Goes Conversational via Question Rewriting

Anantha, R., Vakulenko, S., Tu, Z., Longpre, S., Pulman, S., & Chappidi, S. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 130

Distributed Optimization for Energy-Efficient Fog Computing in the Tactile Internet

Xiao, Y., & Krunz, M. (2018) · IEEE Journal on Selected Areas in Communications

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 130

Using natural language processing to support peer‐feedback in the age of artificial intelligence: A cross‐disciplinary framework and a research agenda

Bauer, E., Greisel, M., Kuznetsov, I., Berndt, M., Kollar, I., Dresel, M., Fischer, M. R., & Fischer, F. (2023) · British Journal of Educational Technology

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 130

Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review

Brauneck, A., Schmalhorst, L., Kazemi Majdabadi, M. M., Bakhtiari, M., Völker, U., Baumbach, J., Baumbach, L., & Buchholtz, G. (2023) · Journal of Medical Internet Research

Privacy-Preserving Technologies in DataDigitalization, Law, and Regulation

Cited by 130

SVM-KM: speeding SVMs learning with a priori cluster selection and k-means

Barros de Almeida, M., de Padua Braga, A., & Braga, J. P. (2002) · Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks

Machine Learning and Data ClassificationData Mining and Machine Learning Applications

Cited by 130

CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth

Facil, J. M., Ummenhofer, B., Zhou, H., Montesano, L., Brox, T., & Civera, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 130

Detecting Stance in Tweets And Analyzing its Interaction with Sentiment

Sobhani, P., Mohammad, S., & Kiritchenko, S. (2016) · Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics

Sentiment Analysis and Opinion MiningHate Speech and Cyberbullying Detection

Cited by 130

Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease

Linardos, A., Kushibar, K., Walsh, S., Gkontra, P., & Lekadir, K. (2022) · Scientific Reports

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 130

Smart-Edge-CoCaCo: AI-Enabled Smart Edge with Joint Computation, Caching, and Communication in Heterogeneous IoT

Hao, Y., Miao, Y., Hu, L., Hossain, M. S., Muhammad, G., & Amin, S. U. (2019) · IEEE Network

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 130

Human-centered evaluation of explainable AI applications: a systematic review

Kim, J., Maathuis, H., & Sent, D. (2024) · Frontiers in Artificial Intelligence

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 130

A review of emotion recognition methods based on keystroke dynamics and mouse movements

Kolakowska, A. (2013) · 2013 6th International Conference on Human System Interactions (HSI)

Emotion and Mood RecognitionUser Authentication and Security Systems

Cited by 130

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey

Wu, J., Dong, F., Leung, H., Zhu, Z., Zhou, J., & Drew, S. (2024) · ACM Computing Surveys

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 130

Human-Centered Artificial Intelligence: The Superlative Approach to Achieve Sustainable Development Goals in the Fourth Industrial Revolution

Mhlanga, D. (2022) · Sustainability

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 130

Lightweight Authenticated-Encryption Scheme for Internet of Things Based on Publish-Subscribe Communication

Diro, A., Reda, H., Chilamkurti, N., Mahmood, A., Zaman, N., & Nam, Y. (2020) · IEEE Access

IoT and Edge/Fog ComputingAdvanced Authentication Protocols Security

Cited by 130

Identifying groups: a comparison of methodologies

Eshghi, A., Haughton, D., & Legrand, P. (2021) · Journal of Data Science

Advanced Clustering Algorithms ResearchData Mining and Machine Learning Applications

Cited by 130