Check computer science papers: citations, claims and retractions

The Three Pillars of Virtual Reality? Investigating the Roles of Immersion, Presence, and Interactivity

Mütterlein, J. (2018) · Proceedings of the Annual Hawaii International Conference on System Sciences

Virtual Reality Applications and ImpactsFlow Experience in Various Fields

Cited by 238

On the localness of software

Tu, Z., Su, Z., & Devanbu, P. (2014) · Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering

Software Engineering ResearchNatural Language Processing Techniques

Cited by 238

SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

Laban, P., Schnabel, T., Bennett, P. N., & Hearst, M. A. (2022) · Transactions of the Association for Computational Linguistics

Topic ModelingAdvanced Text Analysis Techniques

Cited by 238

On the computational power of neural nets

Siegelmann, H. T., & Sontag, E. D. (1992) · Proceedings of the fifth annual workshop on Computational learning theory

Computability, Logic, AI AlgorithmsNeural Networks and Applications

Cited by 238

Privacy-preserving Blockchain-based electric vehicle charging with dynamic tariff decisions

Knirsch, F., Unterweger, A., & Engel, D. (2018) · Computer Science - Research and Development

Blockchain Technology Applications and SecurityElectric Vehicles and Infrastructure

Cited by 238

VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples

Pan, T., Song, Y., Yang, T., Jiang, W., & Liu, W. (2021) · arXiv

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 238

Disrupting governance with Blockchains and smart contracts

Shermin, V. (2017) · Strategic Change

Blockchain Technology Applications and SecurityDigital Transformation in Law

Cited by 238

Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling

Yang, L., Chen, H., Li, Z., Ding, X., & Wu, X. (2024) · IEEE Transactions on Knowledge and Data Engineering

Topic ModelingMultimodal Machine Learning Applications

Cited by 238

Demonstration of a Scaling Advantage for a Quantum Annealer over Simulated Annealing

Albash, T., & Lidar, D. A. (2018) · Physical Review X

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 238

Hyperspectral imagery classification using sparse representations of convolutional neural network features

Liang, H., & Li, Q. (2016) · Remote Sensing

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 238

Latency lags bandwith

Patterson, D. A. (2004) · Communications of the ACM

Network Traffic and Congestion ControlSoftware System Performance and Reliability

Cited by 238

VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry

Radwan, N., Valada, A., & Burgard, W. (2018) · IEEE Robotics and Automation Letters

Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques

Cited by 237

Computer-Mediated Activity: Functional Organs in Social and Developmental Contexts

Kaptelinin, V. (1995) · Context and Consciousness

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 237

Fusionpainting: Multimodal fusion with adaptive attention for 3d object detection

Xu, S., Zhou, D., Fang, J., Yin, J., Bin, Z., & Zhang, L. (2021) · 2021 IEEE International Intelligent Transportation Systems Conference (ITSC)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 237

D’ya Like DAGs? A Survey on Structure Learning and Causal Discovery

Vowels, M. J., Camgoz, N. C., & Bowden, R. (2023) · ACM Computing Surveys

Bayesian Modeling and Causal InferenceStatistical Methods and Inference

Cited by 237

Variational Quantum Simulation of General Processes

Endo, S., Sun, J., Li, Y., Benjamin, S. C., & Yuan, X. (2020) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 237

A study on continuous max-flow and min-cut approaches

Yuan, J., Bae, E., & Tai, X.-C. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 237

Learning-Based Quantum Error Mitigation

Strikis, A., Qin, D., Chen, Y., Benjamin, S. C., & Li, Y. (2021) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 237

Preparing for the unknown: Learning a universal policy with online system identification

Yu, W., Tan, J., Karen Liu, C., & Turk, G. (2017) · Robotics: Science and Systems XIII

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 237

Preparing for the Unknown: Learning a Universal Policy with Online System Identification

Yu, W., Tan, J., Liu, C. K., & Turk, G. (2017) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 237

Risk management framework for information systems and organizations: a system life cycle approach for security and privacy

Joint Task Force Transformation Initiative (2018)

Information and Cyber SecurityInformation Technology Governance and Strategy

Cited by 237

Beyond Self-Tracking and Reminders: Designing Smartphone Apps That Support Habit Formation

Stawarz, K., Cox, A. L., & Blandford, A. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 237

IoMT amid COVID-19 pandemic: Application, architecture, technology, and security

Mohd Aman, A. H., Hassan, W. H., Sameen, S., Attarbashi, Z. S., Alizadeh, M., & Latiff, L. A. (2021) · Journal of Network and Computer Applications

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 237

Initialization techniques for 3D SLAM: A survey on rotation estimation and its use in pose graph optimization

Carlone, L., Tron, R., Daniilidis, K., & Dellaert, F. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

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

Cited by 237