Check computer science papers: citations, claims and retractions

An architecture for reflexive autonomous vehicle control

Payton, D. (1986) · Proceedings. 1986 IEEE International Conference on Robotics and Automation

AI-based Problem Solving and PlanningAdvanced Software Engineering Methodologies

Cited by 200

Self-Monitoring Navigation Agent via Auxiliary Progress Estimation

Ma, C.-Y., Lu, J., Wu, Z., AlRegib, G., Kira, Z., Socher, R., & Xiong, C. (2019) · arXiv

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 200

Social Integration of Artificial Intelligence: Functions, Automation Allocation Logic and Human-Autonomy Trust

Abbass, H. A. (2019) · Cognitive Computation

Ethics and Social Impacts of AIHuman-Automation Interaction and Safety

Cited by 200

Poisoning Attacks on Federated Learning-based IoT Intrusion Detection System

Nguyen, T. D., Rieger, P., Miettinen, M., & Sadeghi, A.-R. (2020) · Proceedings 2020 Workshop on Decentralized IoT Systems and Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 200

Mobile-izing health workers in rural India

Ramachandran, D., Canny, J., Das, P. D., & Cutrell, E. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

ICT in Developing CommunitiesMobile Health and mHealth Applications

Cited by 200

Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices

Kainz, B., Steinberger, M., Wein, W., Kuklisova-Murgasova, M., Malamateniou, C., Keraudren, K., Torsney-Weir, T., Rutherford, M., Aljabar, P., Hajnal, J. V., et al. (2015) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesMedical Imaging Techniques and Applications

Cited by 200

Symmetrical SURF and Its Applications to Vehicle Detection and Vehicle Make and Model Recognition

Hsieh, J.-W., Chen, L.-C., & Chen, D.-Y. (2014) · IEEE Transactions on Intelligent Transportation Systems

Advanced Image and Video Retrieval TechniquesAutonomous Vehicle Technology and Safety

Cited by 200

Analyzing the input stream for character- level errors in unconstrained text entry evaluations

Wobbrock, J. O., & Myers, B. A. (2006) · ACM Transactions on Computer-Human Interaction

Usability and User Interface DesignGaze Tracking and Assistive Technology

Cited by 200

Accurate Blur Models vs. Image Priors in Single Image Super-resolution

Efrat, N., Glasner, D., Apartsin, A., Nadler, B., & Levin, A. (2013) · 2013 IEEE International Conference on Computer Vision

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 200

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs

Kamoi, R., Zhang, Y., Zhang, N., Han, J., & Zhang, R. (2024) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 200

IoMT malware detection approaches: analysis and research challenges

Wazid, M., Das, A. K., Rodrigues, J. J. P. C., Shetty, S., & Park, Y. (2019) · IEEE Access

Advanced Malware Detection TechniquesNetwork Security and Intrusion Detection

Cited by 200

Effects of Explainable Artificial Intelligence on trust and human behavior in a high-risk decision task

Leichtmann, B., Humer, C., Hinterreiter, A., Streit, M., & Mara, M. (2023) · Computers in Human Behavior

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 200

A systematic review of immersive virtual reality for industrial skills training

Radhakrishnan, U., Koumaditis, K., & Chinello, F. (2021) · Behaviour & Information Technology

Virtual Reality Applications and ImpactsSimulation and Modeling Applications

Cited by 200

How do visual explanations foster end users' appropriate trust in machine learning?

Yang, F., Huang, Z., Scholtz, J., & Arendt, D. L. (2020) · Proceedings of the 25th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 200

Detecting Cars in UAV Images With a Catalog-Based Approach

Moranduzzo, T., & Melgani, F. (2014) · IEEE Transactions on Geoscience and Remote Sensing

Advanced Neural Network ApplicationsAutomated Road and Building Extraction

Cited by 200

Swarm intelligence for routing in communication networks

Kassabalidis, I., El-Sharkawi, M. A., Marks, R. J., Arabshahi, P., & Gray, A. A. (2002) · GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270)

Metaheuristic Optimization Algorithms ResearchModular Robots and Swarm Intelligence

Cited by 200

Crossing the Reality Gap: A Survey on Sim-to-Real Transferability of Robot Controllers in Reinforcement Learning

Salvato, E., Fenu, G., Medvet, E., & Pellegrino, F. A. (2021) · IEEE Access

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 200

Adversarial Policies: Attacking Deep Reinforcement Learning

Gleave, A., Dennis, M., Wild, C., Kant, N., Levine, S., & Russell, S. (2019) · arXiv

Adversarial Robustness in Machine LearningReinforcement Learning in Robotics

Cited by 200

Generating Diverse Code Explanations using the GPT-3 Large Language Model

MacNeil, S., Tran, A., Mogil, D., Bernstein, S., Ross, E., & Huang, Z. (2022) · Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 2

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 200

Level of Immersion in Virtual Environments Impacts the Ability to Assess and Teach Social Skills in Autism Spectrum Disorder

Miller, H. L., & Bugnariu, N. L. (2016) · Cyberpsychology, Behavior, and Social Networking

Virtual Reality Applications and ImpactsAutism Spectrum Disorder Research

Cited by 199

Guidelines and evaluation of clinical explainable AI in medical image analysis

Jin, W., Li, X., Fatehi, M., & Hamarneh, G. (2023) · Medical Image Analysis

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

Cited by 199

Stabilizing Transformers for Reinforcement Learning

Parisotto, E., Song, H. F., Rae, J. W., Pascanu, R., Gulcehre, C., Jayakumar, S. M., Jaderberg, M., Kaufman, R. L., Clark, A., Noury, S., et al. (2019) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 199

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Leng, S., Zhang, H., Chen, G., Li, X., Lu, S., Miao, C., & Bing, L. (2023) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 199

Chemical basis of Trotter-Suzuki errors in quantum chemistry simulation

Babbush, R., McClean, J., Wecker, D., Aspuru-Guzik, A., & Wiebe, N. (2015) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 199