Check computer science papers: citations, claims and retractions

Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors

Louizos, C., & Welling, M. (2016) · arXiv

Gaussian Processes and Bayesian InferenceNeural Networks and Applications

Cited by 138

Analytical Study of Hybrid Techniques for Image Encryption and Decryption

Chowdhary, C. L., Patel, P. V., Kathrotia, K. J., Attique, M., Perumal, K., & Ijaz, M. F. (2020) · Sensors

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 138

Development of digital biomarkers for resting tremor and bradykinesia using a wrist-worn wearable device

Mahadevan, N., Demanuele, C., Zhang, H., Volfson, D., Ho, B., Erb, M. K., & Patel, S. (2020) · npj Digital Medicine

Context-Aware Activity Recognition SystemsParkinson's Disease Mechanisms and Treatments

Cited by 138

An Explanation of In-context Learning as Implicit Bayesian Inference

Xie, S. M., Raghunathan, A., Liang, P., & Ma, T. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 138

A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Dasigi, P., Lo, K., Beltagy, I., Cohan, A., Smith, N. A., & Gardner, M. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingInformation Retrieval and Search Behavior

Cited by 138

Estimating student retention and degree-completion time: decision trees and neural networks vis-à-vis regression

Herzog, S. (2006) · New Directions for Institutional Research

Online Learning and AnalyticsHigher Education Research Studies

Cited by 138

A smartwatch-based framework for real-time and online assessment and mobility monitoring

Kheirkhahan, M., Nair, S., Davoudi, A., Rashidi, P., Wanigatunga, A. A., Corbett, D. B., Mendoza, T., Manini, T. M., & Ranka, S. (2019) · Journal of Biomedical Informatics

Context-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Cited by 138

Breaking The Experience: Effects of Questionnaires in VR User Studies

Putze, S., Alexandrovsky, D., Putze, F., Höffner, S., Smeddinck, J. D., & Malaka, R. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Virtual Reality Applications and ImpactsInteractive and Immersive Displays

Cited by 138

Performance of hybrid quantum-classical variational heuristics for combinatorial optimization

Nannicini, G. (2019) · Physical Review E

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 138

Application of Artificial Intelligence in Lung Cancer

Chiu, H.-Y., Chao, H.-S., & Chen, Y.-M. (2022) · Cancers

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 138

DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning

Xu, M., Qian, F., Zhu, M., Huang, F., Pushp, S., & Liu, X. (2020) · IEEE Transactions on Mobile Computing

IoT and Edge/Fog ComputingContext-Aware Activity Recognition Systems

Cited by 138

Poisoning Web-Scale Training Datasets is Practical

Carlini, N., Jagielski, M., Choquette-Choo, C. A., Paleka, D., Pearce, W., Anderson, H., Terzis, A., Thomas, K., & Tramèr, F. (2023) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 138

Phase transition in Random Circuit Sampling

Morvan, A., Villalonga, B., Mi, X., Mandrà, S., Bengtsson, A., Klimov, P. V., Chen, Z., Hong, S., Erickson, C., Drozdov, I. K., et al. (2023) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 138

AI Empire: Unraveling the interlocking systems of oppression in generative AI's global order

Tacheva, J., & Ramasubramanian, S. (2023) · Big Data & Society

Ethics and Social Impacts of AIFeminism, Gender, and Intersectionality

Cited by 138

Joint demosaicing and denoising

Hirakawa, K., & Parks, T. W. (2006) · IEEE Transactions on Image Processing

Image and Signal Denoising MethodsAdvanced Image Processing Techniques

Cited by 138

HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping

Wang, Y., Chen, X., Zhu, J., Chu, W., Tai, Y., Wang, C., Li, J., Wu, Y., Huang, F., & Ji, R. (2021) · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Face recognition and analysisGenerative Adversarial Networks and Image Synthesis

Cited by 138

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design

You, H., Sun, Z., Shi, H., Yu, Z., Zhao, Y., Zhang, Y., Li, C., Li, B., & Lin, Y. (2023) · 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 138

User Service Innovation on Mobile Phone Platforms: Investigating Impacts of Lead Userness, Toolkit Support, and Design Autonomy1

Ye, H. (., & Kankanhalli, A. (2018) · MIS Quarterly

Open Source Software InnovationsService and Product Innovation

Cited by 138

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges

Zhang, K., Li, J., Li, G., Shi, X., & Jin, Z. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 138

Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data

Mekruksavanich, S., & Jitpattanakul, A. (2021) · Electronics

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 138

The Secure HyperText Transfer Protocol

Rescorla, E., & Schiffman, A. (1999)

Advanced Authentication Protocols SecurityWeb Application Security Vulnerabilities

Cited by 138

Empirically Studying Participatory Sense-Making in Abstract Drawing with a Co-Creative Cognitive Agent

Davis, N., Hsiao, C.-P., Yashraj Singh, K., Li, L., & Magerko, B. (2016) · Proceedings of the 21st International Conference on Intelligent User Interfaces

Innovative Human-Technology InteractionArt, Technology, and Culture

Cited by 138

ArgueTutor: An Adaptive Dialog-Based Learning System for Argumentation Skills

Wambsganss, T., Kueng, T., Soellner, M., & Leimeister, J. M. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Intelligent Tutoring Systems and Adaptive LearningSpeech and dialogue systems

Cited by 138

The end(s) of critique: data behaviourism versus due process

(2013) · Privacy, Due Process and the Computational Turn

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 138