Check computer science papers: citations, claims and retractions

A Review of Machine Learning and TinyML in Healthcare

Tsoukas, V., Boumpa, E., Giannakas, G., & Kakarountas, A. (2021) · 25th Pan-Hellenic Conference on Informatics

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 79

Seeing is Believing: Exploring Perceptual Differences in DeepFake Videos

Tahir, R., Batool, B., Jamshed, H., Jameel, M., Anwar, M., Ahmed, F., Zaffar, M. A., & Zaffar, M. F. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 79

Parsing Gigabytes of JSON per Second

Langdale, G., & Lemire, D. (2019) · arXiv

Advanced Database Systems and QueriesParallel Computing and Optimization Techniques

Cited by 79

Insiders Behaving Badly

Predd, J., Pfleeger, S. L., Hunker, J., & Bulford, C. (2008) · IEEE Security & Privacy Magazine

Information and Cyber SecurityPrivacy, Security, and Data Protection

Cited by 79

Detecting Parkinsonian Tremor From IMU Data Collected in-the-Wild Using Deep Multiple-Instance Learning

Papadopoulos, A., Kyritsis, K., Klingelhoefer, L., Bostanjopoulou, S., Chaudhuri, K. R., & Delopoulos, A. (2020) · IEEE Journal of Biomedical and Health Informatics

Context-Aware Activity Recognition SystemsArtificial Intelligence in Healthcare

Cited by 79

FIVR: Fine-Grained Incident Video Retrieval

Kordopatis-Zilos, G., Papadopoulos, S., Patras, I., & Kompatsiaris, I. (2019) · IEEE Transactions on Multimedia

Video Analysis and SummarizationAdvanced Image and Video Retrieval Techniques

Cited by 79

SGXIO: Generic Trusted I/O Path for Intel SGX

Weiser, S., & Werner, M. (2017) · Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy

Security and Verification in ComputingDigital Rights Management and Security

Cited by 79

Three Levels of AI Transparency

Haresamudram, K., Larsson, S., & Heintz, F. (2023) · Computer

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 79

Personalized Human Activity Recognition Based on Integrated Wearable Sensor and Transfer Learning

Fu, Z., He, X., Wang, E., Huo, J., Huang, J., & Wu, D. (2021) · Sensors

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 79

Anomaly-Based Insider Threat Detection Using Deep Autoencoders

Liu, L., De Vel, O., Chen, C., Zhang, J., & Xiang, Y. (2018) · 2018 IEEE International Conference on Data Mining Workshops (ICDMW)

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 79

PathVQA: 30000+ Questions for Medical Visual Question Answering

He, X., Zhang, Y., Mou, L., Xing, E., & Xie, P. (2020) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 79

Variational benchmarks for quantum many-body problems

Wu, D., Rossi, R., Vicentini, F., Astrakhantsev, N., Becca, F., Cao, X., Carrasquilla, J., Ferrari, F., Georges, A., Hibat-Allah, M., et al. (2024) · Science

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 79

Cybersecurity for Connected Diabetes Devices

Klonoff, D. C. (2015) · Journal of Diabetes Science and Technology

Information and Cyber SecurityIoT and Edge/Fog Computing

Cited by 79

A meta-analysis of the effectiveness of ALEKS on learning

Fang, Y., Ren, Z., Hu, X., & Graesser, A. C. (2019) · Educational Psychology

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 79

Performance and biases of large language models in public opinion simulation.

Qu, Y., & Wang, J. (2024) · Humanities and Social Sciences Communications

Ethics and Social Impacts of AISentiment Analysis and Opinion Mining

Cited by 79

Orthogonal Subspace Learning for Language Model Continual Learning

Wang, X., Chen, T., Ge, Q., Xia, H., Bao, R., Zheng, R., Zhang, Q., Gui, T., & Huang, X. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 79

SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network

Chan, W., Park, D., Lee, C., Zhang, Y., Le, Q., & Norouzi, M. (2021) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 79

In Digital We Trust: Bitcoin Discourse, Digital Currencies, and Decentralized Network Fetishism

Baldwin, J. (2018) · Palgrave Communications

Blockchain Technology Applications and SecurityCultural Studies and Postmodernism

Cited by 79

From Angular Manifolds to the Integer Lattice: Guaranteed Orientation Estimation With Application to Pose Graph Optimization

Carlone, L., & Censi, A. (2014) · IEEE Transactions on Robotics

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 79

On Ciphers that Continuously Access the Non-Volatile Key

Mikhalev, V., Armknecht, F., & Müller, C. (2017) · IACR Transactions on Symmetric Cryptology

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 79

Overcoming the challenges to implementation of artificial intelligence in pathology

Reis-Filho, J. S., & Kather, J. N. (2023) · JNCI: Journal of the National Cancer Institute

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 79

Non-Discriminatory Machine Learning through Convex Fairness Criteria

Goel, N., Yaghini, M., & Faltings, B. (2018) · Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 79

Language Models are Open Knowledge Graphs

Wang, C., Liu, X., & Song, D. (2020) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 79

When ehealth meets iot: A smart wireless system for post-stroke home rehabilitation

Bisio, I., Garibotto, C., Lavagetto, F., & Sciarrone, A. (2019) · IEEE Wireless Communications

Context-Aware Activity Recognition SystemsStroke Rehabilitation and Recovery

Cited by 79