Check computer science papers: citations, claims and retractions

Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation

Sedrakyan, G., Malmberg, J., Verbert, K., Järvelä, S., & Kirschner, P. A. (2020) · Computers in Human Behavior

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 283

Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment

Kim, J., Zeng, H., Ghadiyaram, D., Lee, S., Zhang, L., & Bovik, A. C. (2017) · IEEE Signal Processing Magazine

Image and Video Quality AssessmentAdvanced Image Processing Techniques

Cited by 283

Problem Formulation and Fairness

Passi, S., & Barocas, S. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 283

♫ MuSiQue: Multihop Questions via Single-hop Question Composition

Trivedi, H., Balasubramanian, N., Khot, T., & Sabharwal, A. (2022) · Transactions of the Association for Computational Linguistics

Topic ModelingMultimodal Machine Learning Applications

Cited by 283

Splicebuster: A new blind image splicing detector

Cozzolino, D., Poggi, G., & Verdoliva, L. (2015) · 2015 IEEE International Workshop on Information Forensics and Security (WIFS)

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 283

Semisupervised hyperspectral image classification based on Generative Adversarial Networks

Zhan, Y., Hu, D., Wang, Y., & Yu, X. (2018) · IEEE Geoscience and Remote Sensing Letters

Remote-Sensing Image ClassificationSpectroscopy and Chemometric Analyses

Cited by 283

Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks

Nazir, S., Dickson, D. M., & Akram, M. U. (2023) · Computers in Biology and Medicine

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

Cited by 283

Vision-Based Fall Detection with Convolutional Neural Networks

Núñez-Marcos, A., Azkune, G., & Arganda-Carreras, I. (2017) · Wireless Communications and Mobile Computing

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 282

Quantum Computation of Electronic Transitions Using a Variational Quantum Eigensolver

Parrish, R. M., Hohenstein, E. G., McMahon, P. L., & Martínez, T. J. (2019) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 282

Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models

Ferrara, E. (2023) · arXiv

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 282

Can Deep Learning Revolutionize Mobile Sensing?

Lane, N. D., & Georgiev, P. (2015) · Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 282

Advancing cybersecurity: a comprehensive review of AI-driven detection techniques

Salem, A. H., Azzam, S. M., Emam, O. E., & Abohany, A. A. (2024) · Journal of Big Data

Network Security and Intrusion DetectionAdvanced Malware Detection Techniques

Cited by 282

Mental models and counterfactual thoughts about what might have been

Byrne, R. M. J. (2002) · Trends in Cognitive Sciences

Logic, Reasoning, and KnowledgeDecision-Making and Behavioral Economics

Cited by 282

YouTube UGC Dataset for Video Compression Research

Wang, Y., Inguva, S., & Adsumilli, B. (2019) · 2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP)

Image and Video Quality AssessmentVideo Coding and Compression Technologies

Cited by 282

The Internet's Hidden Rules: An Empirical Study of Reddit Norm Violations at Micro, Meso, and Macro Scales

Chandrasekharan, E., Samory, M., Jhaver, S., Charvat, H., Bruckman, A., Lampe, C., Eisenstein, J., & Gilbert, E. (2018) · Proceedings of the ACM on Human-Computer Interaction

Hate Speech and Cyberbullying DetectionSocial Media and Politics

Cited by 282

An energy-efficient architecture for the Internet of Things (IoT)

Kaur, N., & Sood, S. K. (2017) · IEEE Systems Journal

Energy Efficient Wireless Sensor NetworksIoT and Edge/Fog Computing

Cited by 282

Should ChatGPT be biased? Challenges and risks of bias in large language models

Ferrara, E. (2023) · First Monday

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 282

Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models

Ferrara, E. (2023) · First Monday

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 282

Chain-of-Verification Reduces Hallucination in Large Language Models

Dhuliawala, S., Komeili, M., Xu, J., Raileanu, R., Li, X., Celikyilmaz, A., & Weston, J. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 282

High Fidelity Neural Audio Compression

Défossez, A., Copet, J., Synnaeve, G., & Adi, Y. (2022) · arXiv

Speech and Audio ProcessingMusic and Audio Processing

Cited by 282

Learning the quantum algorithm for state overlap

Cincio, L., Subaşı, Y., Sornborger, A. T., & Coles, P. J. (2018) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 282

SDN and Virtualization Solutions for the Internet of Things: A Survey

Bizanis, N., & Kuipers, F. A. (2016) · IEEE Access

Software-Defined Networks and 5GIoT and Edge/Fog Computing

Cited by 282

HOGgles: Visualizing Object Detection Features

Vondrick, C., Khosla, A., Malisiewicz, T., & Torralba, A. (2013) · 2013 IEEE International Conference on Computer Vision

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 282

Twenty Years of Digital Pathology: An Overview of the Road Travelled, What is on the Horizon, and the Emergence of Vendor-Neutral Archives

Pantanowitz, L., Sharma, A., Carter, A. B., Kurc, T., Sussman, A., & Saltz, J. (2018) · Journal of Pathology Informatics

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 282