Check computer science papers: citations, claims and retractions

"Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations

Zhang, Y., Song, K., Sun, Y., Tan, S., & Udell, M. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 68

What is the “Source” of Open Source Hardware?

Bonvoisin, J., Mies, R., Boujut, J.-F., & Stark, R. (2017) · Journal of Open Hardware

Open Source Software InnovationsProduct Development and Customization

Cited by 68

A Survey of Current Datasets for Vision and Language Research

Ferraro, F., Mostafazadeh, N., Huang, T.-H., Vanderwende, L., Devlin, J., Galley, M., & Mitchell, M. (2015) · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 68

Feature extraction for robust physical activity recognition

Zhu, J., San-Segundo, R., & Pardo, J. M. (2017) · Human-centric Computing and Information Sciences

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 68

Deep-learning-based Accurate Hepatic Steatosis Quantification for Histological Assessment of Liver Biopsies

Roy, M., Wang, F., Vo, H., Teng, D., Teodoro, G., Farris, A. B., Castillo-Leon, E., Vos, M. B., & Kong, J. (2020) · Laboratory Investigation

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 68

SpatialBot: Precise Spatial Understanding with Vision Language Models

Cai, W., Ponomarenko, I., Yuan, J., Li, X., Yang, W., Dong, H., & Zhao, B. (2025) · 2025 IEEE International Conference on Robotics and Automation (ICRA)

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 68

Complementing educational recommender systems with open learner models

Abdi, S., Khosravi, H., Sadiq, S., & Gasevic, D. (2020) · Proceedings of the Tenth International Conference on Learning Analytics & Knowledge

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 68

Machine science

Evans, J., & Rzhetsky, A. (2010) · Science

Artificial Intelligence ApplicationsMachine Learning in Materials Science

Cited by 68

Experiments with the subsumption architecture

Hartley, R., & Pipitone, F. (2002) · Proceedings. 1991 IEEE International Conference on Robotics and Automation

AI-based Problem Solving and PlanningPsychiatry, Mental Health, Neuroscience

Cited by 68

RFID based real-time recognition of ongoing gesture with adversarial learning

Yu, Y., Wang, D., Zhao, R., & Zhang, Q. (2019) · Proceedings of the 17th Conference on Embedded Networked Sensor Systems

Hand Gesture Recognition SystemsRFID technology advancements

Cited by 68

Combining Unmanned Aerial Vehicles With Artificial-Intelligence Technology for Traffic-Congestion Recognition: Electronic Eyes in the Skies to Spot Clogged Roads

Jian, L., Li, Z., Yang, X., Wu, W., Ahmad, A., & Jeon, G. (2019) · IEEE Consumer Electronics Magazine

Advanced Neural Network ApplicationsTraffic control and management

Cited by 68

Deduplicating Training Data Mitigates Privacy Risks in Language Models

Kandpal, N., Wallace, E., & Raffel, C. (2022) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 68

Applications and Challenges of Artificial Intelligence in Space Missions

Oche, P. A., Ewa, G. A., & Ibekwe, N. (2024) · IEEE Access

Artificial Intelligence ApplicationsSpace exploration and regulation

Cited by 68

Gaussian Process Gauss–Newton for non-parametric simultaneous localization and mapping

Tong, C. H., Furgale, P., & Barfoot, T. D. (2013) · The International Journal of Robotics Research

Robotics and Sensor-Based LocalizationGaussian Processes and Bayesian Inference

Cited by 68

Domain Robustness in Neural Machine Translation

Müller, M., Rios, A., & Sennrich, R. (2019) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 68

Guiding the self-organization of random Boolean networks

Gershenson, C. (2012) · Theory in Biosciences

Cellular Automata and ApplicationsGene Regulatory Network Analysis

Cited by 68

ChatGPT: A Study on its Utility for Ubiquitous Software Engineering Tasks

Sridhara, G., G., R. H., & Mazumdar, S. (2023) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 68

Explainable Artificial Intelligence in Neuroimaging of Alzheimer’s Disease

Taiyeb Khosroshahi, M., Morsali, S., Gharakhanlou, S., Motamedi, A., Hassanbaghlou, S., Vahedi, H., Pedrammehr, S., Kabir, H. M. D., & Jafarizadeh, A. (2025) · Diagnostics

Explainable Artificial Intelligence (XAI)Dementia and Cognitive Impairment Research

Cited by 68

Explainable recommendation: when design meets trust calibration

Naiseh, M., Al-Thani, D., Jiang, N., & Ali, R. (2021) · World Wide Web

Explainable Artificial Intelligence (XAI)Innovative Human-Technology Interaction

Cited by 68

Machine Psychology

Hagendorff, T., Dasgupta, I., Binz, M., Chan, S. C. Y., Lampinen, A., Wang, J. X., Akata, Z., & Schulz, E. (2023) · arXiv

Topic ModelingPsychiatry, Mental Health, Neuroscience

Cited by 68

Studying pull request merges: a case study of shopify's active merchant

Kononenko, O., Rose, T., Baysal, O., Godfrey, M., Theisen, D., & de Water, B. (2018) · Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 68

Cluster states from Heisenberg interactions

Borhani, M., & Loss, D. (2005) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 68

Case study: verifying the safety of an autonomous racing car with a neural network controller

Ivanov, R., Carpenter, T. J., Weimer, J., Alur, R., Pappas, G. J., & Lee, I. (2020) · Proceedings of the 23rd International Conference on Hybrid Systems: Computation and Control

Formal Methods in VerificationSafety Systems Engineering in Autonomy

Cited by 68

Variational filtering

Friston, K. J. (2008) · NeuroImage

Target Tracking and Data Fusion in Sensor NetworksMarkov Chains and Monte Carlo Methods

Cited by 68