Check computer science papers: citations, claims and retractions

Towards algorithm auditing: managing legal, ethical and technological risks of AI, ML and associated algorithms

Koshiyama, A., Kazim, E., Treleaven, P., Rai, P., Szpruch, L., Pavey, G., Ahamat, G., Leutner, F., Goebel, R., Knight, A., et al. (2024) · Royal Society Open Science

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 110

Heterogeneous rarity patterns drive price dynamics in NFT collections

Mekacher, A., Bracci, A., Nadini, M., Martino, M., Alessandretti, L., Aiello, L. M., & Baronchelli, A. (2022) · Scientific Reports

Blockchain Technology Applications and SecurityArt History and Market Analysis

Cited by 110

How do users know what to say?

Yankelovich, N. (1996) · interactions

Usability and User Interface DesignSpeech and dialogue systems

Cited by 110

Expectation grammars: leveraging high-level expectations for activity recognition

Minnen, D., Essa, I., & Starner, T. (2003) · 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 110

Towards a Lightweight Detection System for Cyber Attacks in the IoT Environment Using Corresponding Features

Soe, Y. N., Feng, Y., Santosa, P. I., Hartanto, R., & Sakurai, K. (2020) · Electronics

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 110

Classification, identification, and growth stage estimation of microalgae based on transmission hyperspectral microscopic imaging and machine learning

Xu, Z., Jiang, Y., Ji, J., Forsberg, E., Li, Y., & He, S. (2020) · Optics Express

Remote-Sensing Image ClassificationSpectroscopy and Chemometric Analyses

Cited by 110

Multistart Methods for Quantum Approximate optimization

Shaydulin, R., Safro, I., & Larson, J. (2019) · 2019 IEEE High Performance Extreme Computing Conference (HPEC)

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 110

DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis

Tang, J., Nie, Y., Markhasin, L., Dai, A., Thies, J., & Nießner, M. (2023) · arXiv

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 110

Internet of Things Applications: Opportunities and Threats

Rahmani, A. M., Bayramov, S., & Kiani Kalejahi, B. (2022) · Wireless Personal Communications

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 110

PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations

Li, R., Patel, T., & Du, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 110

Combined Pitch and Roll and Cybersickness in a Virtual Environment

Bonato, F., Bubka, A., & Palmisano, S. (2009) · Aviation, Space, and Environmental Medicine

Virtual Reality Applications and ImpactsVestibular and auditory disorders

Cited by 110

Adaptive Robot Language Tutoring Based on Bayesian Knowledge Tracing and Predictive Decision-Making

Schodde, T., Bergmann, K., & Kopp, S. (2017) · Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction

Intelligent Tutoring Systems and Adaptive LearningSocial Robot Interaction and HRI

Cited by 110

Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback

Nguyen, K., Daumé III, H., & Boyd-Graber, J. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesReinforcement Learning in Robotics

Cited by 110

How Peripheral Developers Contribute to Open-Source Software Development

Setia, P., Rajagopalan, B., Sambamurthy, V., & Calantone, R. (2012) · Information Systems Research

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 110

Controller-free Hand Tracking for Grab-and-place Tasks in Immersive Virtual Reality: Design Elements and their Empirical Study

Masurovsky, A., Chojecki, P., Runde, D., Lafci, M., Przewozny, D., & Gaebler, M. (2020) · Multimodal Technologies and Interaction

Interactive and Immersive DisplaysHand Gesture Recognition Systems

Cited by 110

Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows

Xin, D., Wu, E. Y., Lee, D. J.-L., Salehi, N., & Parameswaran, A. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Machine Learning and Data ClassificationSoftware Engineering Techniques and Practices

Cited by 110

Implementing Zero Trust Cloud Networks with Transport Access Control and First Packet Authentication

DeCusatis, C., Liengtiraphan, P., Sager, A., & Pinelli, M. (2016) · 2016 IEEE International Conference on Smart Cloud (SmartCloud)

Security and Verification in ComputingCybersecurity and Information Systems

Cited by 110

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Wang, B., Chen, W., Pei, H., Xie, C., Kang, M., Zhang, C., Xu, C., Xiong, Z., Dutta, R., Schaeffer, R., et al. (2023) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 110

Evaluating and addressing demographic disparities in medical large language models: a systematic review

Omar, M., Sorin, V., Agbareia, R., Apakama, D. U., Soroush, A., Sakhuja, A., Freeman, R., Horowitz, C. R., Richardson, L. D., Nadkarni, G. N., et al. (2025) · International Journal for Equity in Health

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 110

Recommendation Unlearning

Chen, C., Sun, F., Zhang, M., & Ding, B. (2022) · Proceedings of the ACM Web Conference 2022

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 110

Fast robust monocular depth estimation for Obstacle Detection with fully convolutional networks

Mancini, M., Costante, G., Valigi, P., & Ciarfuglia, T. A. (2016) · 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Advanced Neural Network ApplicationsAdvanced Vision and Imaging

Cited by 110

Large Language Models are Better Reasoners with Self-Verification

Weng, Y., Zhu, M., Xia, F., Li, B., He, S., Liu, S., Sun, B., Liu, K., & Zhao, J. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 110

Advanced Sensing and Human Activity Recognition in Early Intervention and Rehabilitation of Elderly People

Schrader, L., Vargas Toro, A., Konietzny, S., Rüping, S., Schäpers, B., Steinböck, M., Krewer, C., Müller, F., Güttler, J., & Bock, T. (2020) · Journal of Population Ageing

Context-Aware Activity Recognition SystemsTechnology Use by Older Adults

Cited by 110

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography

Bernard, O., Bosch, J. G., Heyde, B., Alessandrini, M., Barbosa, D., Camarasu-Pop, S., Cervenansky, F., Valette, S., Mirea, O., Bernier, M., et al. (2016) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesCardiovascular Function and Risk Factors

Cited by 110