Check computer science papers: citations, claims and retractions

A patch-based convolutional neural network for remote sensing image classification

Sharma, A., Liu, X., Yang, X., & Shi, D. (2017) · Neural Networks

Remote-Sensing Image ClassificationRemote Sensing and Land Use

Cited by 260

Exploring feedback and student characteristics relevant for personalizing feedback strategies

Narciss, S., Sosnovsky, S., Schnaubert, L., Andrès, E., Eichelmann, A., Goguadze, G., & Melis, E. (2014) · Computers & Education

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 260

Emotion Recognition from Brain Signals Using Hybrid Adaptive Filtering and Higher Order Crossings Analysis

Petrantonakis, P. C., & Hadjileontiadis, L. J. (2010) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 260

Graph-preserving sparse nonnegative matrix factorization with application to facial expression recognition

Zhi, R., Flierl, M., Ruan, Q., & Kleijn, W. B. (2011) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)

Face and Expression RecognitionFace recognition and analysis

Cited by 260

The Flaws of Policies Requiring Human Oversight of Government Algorithms

Green, B. (2021) · Computer law & security review

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 259

Intelligent tutoring systems by and for the developing world: a review of trends and approaches for educational technology in a global context.

Nye, B. D. (2015) · International Journal of Artificial Intelligence in Education

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 259

Do Users Write More Insecure Code with AI Assistants?

Perry, N., Srivastava, M., Kumar, D., & Boneh, D. (2023) · Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security

Software Engineering ResearchWeb Application Security Vulnerabilities

Cited by 259

Quantum walks in optical lattices

Dür, W., Raussendorf, R., Kendon, V. M., & Briegel, H.-J. (2002) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 259

Explaining Why the Computer Says No: Algorithmic Transparency Affects the Perceived Trustworthiness of Automated Decision‐Making

Grimmelikhuijsen, S. (2023) · Public Administration Review

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 259

Demographic prediction based on user's browsing behavior

Hu, J., Zeng, H.-J., Li, H., Niu, C., & Chen, Z. (2007) · Proceedings of the 16th international conference on World Wide Web

Web Data Mining and AnalysisRecommender Systems and Techniques

Cited by 259

Vocal Expression of Emotion: Acoustic Properties of Speech Are Associated With Emotional Intensity and Context

Bachorowski, J.-A., & Owren, M. J. (1995) · Psychological Science

Emotion and Mood RecognitionPhonetics and Phonology Research

Cited by 259

Maximum a Posteriori Policy Optimisation

Abdolmaleki, A., Springenberg, J. T., Tassa, Y., Munos, R., Heess, N., & Riedmiller, M. (2018) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 259

Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network

Steven Eyobu, O., & Han, D. S. (2018) · Sensors

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 259

Deep learning for edge computing applications: A State-of-the-Art survey

Wang, F., Zhang, M., Wang, X., Ma, X., & Liu, J. (2020) · IEEE Access

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 259

DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort

Zhang, Y., Ling, H., Gao, J., Yin, K., Lafleche, J.-F., Barriuso, A., Torralba, A., & Fidler, S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 259

Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems.

Tani, J., & Nolfi, S. (1999) · Neural Networks

Neural Networks and ApplicationsReinforcement Learning in Robotics

Cited by 259

Automating Procurement Contracts in the Healthcare Supply Chain Using Blockchain Smart Contracts

Omar, I. A., Jayaraman, R., Debe, M. S., Salah, K., Yaqoob, I., & Omar, M. (2021) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 259

Bodily ownership and self-location: Components of bodily self-consciousness

Serino, A., Alsmith, A., Costantini, M., Mandrigin, A., Tajadura-Jimenez, A., & Lopez, C. (2013) · Consciousness and Cognition

Virtual Reality Applications and ImpactsFree Will and Agency

Cited by 259

Structured statistical models of inductive reasoning

Kemp, C., & Tenenbaum, J. B. (2009) · Psychological Review

Bayesian Modeling and Causal InferenceCategorization, perception, and language

Cited by 259

From Research Prototype to Research Product

Odom, W., Wakkary, R., Lim, Y.-K., Desjardins, A., Hengeveld, B., & Banks, R. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionDesign Education and Practice

Cited by 259

Exposed! A Survey of Attacks on Private Data

Dwork, C., Smith, A., Steinke, T., & Ullman, J. (2017) · Annual Review of Statistics and Its Application

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 259

Approaches to automated detection of cyberbullying: A survey

Salawu, S., He, Y., & Lumsden, J. (2020) · IEEE Transactions on Affective Computing

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 258

Bounded biharmonic weights for real-time deformation

Jacobson, A., Baran, I., Popović, J., & Sorkine, O. (2011) · ACM SIGGRAPH 2011 papers

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 258

Self-Care Technologies in HCI: Trends, Tensions, and Opportunities

Nunes, F., Verdezoto, N., Fitzpatrick, G., Kyng, M., Grönvall, E., & Storni, C. (2015) · ACM Transactions on Computer-Human Interaction

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 258