Check computer science papers: citations, claims and retractions

Deep Reinforcement Learning in Large Discrete Action Spaces

Dulac-Arnold, G., Evans, R., van Hasselt, H., Sunehag, P., Lillicrap, T., Hunt, J., Mann, T., Weber, T., Degris, T., & Coppin, B. (2015) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 290

Segmentation Labels for the Pre-operative Scans of the TCGA-LGG collection

Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J., Freymann, J., Farahani, K., & Davatzikos, C. (2017) · The Cancer Imaging Archive

Brain Tumor Detection and ClassificationRadiomics and Machine Learning in Medical Imaging

Cited by 290

Insights From “The Machine Stops ” to Better Understand Rational Assumptions in Algorithmic Decision Making and Its Implications for Organizations

Lindebaum, D., Vesa, M., & den Hond, F. (2020) · Academy of Management Review

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 290

Artificial Intelligence in Digital Pathology: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy

McGenity, C., Clarke, E. L., Jennings, C., Matthews, G., Cartlidge, C., Freduah-Agyemang, H., Stocken, D. D., & Treanor, D. (2024) · npj Digital Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 290

Virtual reality exposure therapy in anxiety disorders: a systematic review of process-and-outcome studies

Meyerbröker, K., & Emmelkamp, P. M. G. (2010) · Depression and Anxiety

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 290

Artificial Intelligence as a Disruptive Technology—A Systematic Literature Review

Păvăloaia, V.-D., & Necula, S.-C. (2023) · Electronics

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 290

Digital ageism: challenges and opportunities in artificial intelligence for older adults

Chu, C. H., Nyrup, R., Leslie, K., Shi, J., Bianchi, A., Lyn, A., McNicholl, M., Khan, S., Rahimi, S., & Grenier, A. (2022) · The Gerontologist

Ethics and Social Impacts of AITechnology Use by Older Adults

Cited by 290

An algorithmic benchmark for quantum information processing

Knill, E., Laflamme, R., Martinez, R., & Tseng, C.-H. (2000) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 290

All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text

Clark, E., August, T., Serrano, S., Haduong, N., Gururangan, S., & Smith, N. A. (2021) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 290

Building PUF based authentication and key exchange protocol for iot without explicit CRPs in verifier database

Chatterjee, U., Govindan, V., Sadhukhan, R., Mukhopadhyay, D., Chakraborty, R. S., Mahata, D., & Prabhu, M. M. (2019) · IEEE Transactions on Dependable and Secure Computing

Advanced Authentication Protocols SecurityPhysical Unclonable Functions (PUFs) and Hardware Security

Cited by 290

Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box

Ciompi, F., de Hoop, B., van Riel, S. J., Chung, K., Scholten, E. T., Oudkerk, M., de Jong, P. A., Prokop, M., & Ginneken, B. V. (2015) · Medical Image Analysis

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 289

ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning

Gu, Q., Kuwajerwala, A., Morin, S., Jatavallabhula, K. M., Sen, B., Agarwal, A., Rivera, C., Paul, W., Ellis, K., Chellappa, R., et al. (2023) · arXiv

3D Shape Modeling and AnalysisRobot Manipulation and Learning

Cited by 289

Quantum Computers, Factoring, and Decoherence

Chuang, I. L., Laflamme, R., Shor, P. W., & Zurek, W. H. (1995) · Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 289

Using Deep Convolutional Neural Network for Emotion Detection on a Physiological Signals Dataset (AMIGOS)

Santamaria-Granados, L., Munoz-Organero, M., Ramirez-Gonzalez, G., Abdulhay, E., & Arunkumar, N. (2019) · IEEE Access

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 289

How human–AI feedback loops alter human perceptual, emotional and social judgements

Glickman, M., & Sharot, T. (2024) · Nature Human Behaviour

Ethics and Social Impacts of AISocial Robot Interaction and HRI

Cited by 289

Continuous 3D scan-matching with a spinning 2D laser

Bosse, M., & Zlot, R. (2009) · 2009 IEEE International Conference on Robotics and Automation

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 289

Auditing large language models: a three-layered approach

Mökander, J., Schuett, J., Kirk, H. R., & Floridi, L. (2024) · AI and Ethics

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 289

Human-Machine Collaboration for Content Regulation: The Case of Reddit Automoderator

Jhaver, S., Birman, I., Gilbert, E., & Bruckman, A. (2019) · ACM Transactions on Computer-Human Interaction

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 289

AI bias: exploring discriminatory algorithmic decision-making models and the application of possible machine-centric solutions adapted from the pharmaceutical industry

Belenguer, L. (2022) · AI and Ethics

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 289

Prefix-Tuning: Optimizing Continuous Prompts for Generation

Li, X. L., & Liang, P. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 289

Advancing High Fidelity Identity Swapping for Forgery Detection

Li, L., Bao, J., Yang, H., Chen, D., & Wen, F. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 288

Essence of distributed work: the case of the Linux kernel

Moon, J. Y., & Sproull, L. (2000) · First Monday

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 288

Preconditioned Quantum Linear System Algorithm

Clader, B. D., Jacobs, B. C., & Sprouse, C. R. (2013) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 288

Deep neural networks for acoustic emotion recognition: Raising the benchmarks

Stuhlsatz, A., Meyer, C., Eyben, F., Zielke, T., Meier, G., & Schuller, B. (2011) · 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 288