Check computer science papers: citations, claims and retractions

Effect of Touch Screen Button Size and Spacing on Touch Characteristics of Users With and Without Disabilities

Sesto, M. E., Irwin, C. B., Chen, K. B., Chourasia, A. O., & Wiegmann, D. A. (2012) · Human Factors: The Journal of the Human Factors and Ergonomics Society

Interactive and Immersive DisplaysTactile and Sensory Interactions

Cited by 73

Categorizing Variants of Goodhart's Law

Manheim, D., & Garrabrant, S. (2018) · arXiv

Ethics and Social Impacts of AIEconomic Theory and Institutions

Cited by 73

MLAAD: The Multi-Language Audio Anti-Spoofing Dataset

Müller, N. M., Kawa, P., Choong, W. H., Casanova, E., Gölge, E., Müller, T., Syga, P., Sperl, P., & Böttinger, K. (2024) · 2024 International Joint Conference on Neural Networks (IJCNN)

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 73

Multi-modal image registration based on gradient orientations of minimal uncertainty

De Nigris, D., Collins, D. L., & Arbel, T. (2012) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications

Cited by 73

ModelScope Text-to-Video Technical Report

Wang, J., Yuan, H., Chen, D., Zhang, Y., Wang, X., & Zhang, S. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 73

DICOM format and protocol standardization—A core requirement for digital pathology success

Clunie, D. A. (2021) · Toxicologic Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 73

Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection

Liu, Z., Zhu, X., Hu, G., Guo, H., Tang, M., Lei, Z., Robertson, N. M., & Wang, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Face recognition and analysisAdvanced Neural Network Applications

Cited by 73

Machine learning based medical image deepfake detection: A comparative study

Solaiyappan, S., & Wen, Y. (2022) · Machine Learning with Applications

Digital Media Forensic DetectionBenford’s Law and Fraud Detection

Cited by 73

Neural Approaches to Conversational AI

Gao, J., Galley, M., & Li, L. (2018) · Proceedings of ACL 2018, Tutorial Abstracts

Speech and dialogue systemsAI in Service Interactions

Cited by 73

Smart Pipe System for a Shipyard 4.0

Fraga-Lamas, P., Noceda-Davila, D., Fernández-Caramés, T., Díaz-Bouza, M., & Vilar-Montesinos, M. (2016) · Sensors

RFID technology advancementsDigital Transformation in Industry

Cited by 73

Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial

Verburg, E., van Gils, C. H., van der Velden, B. H. M., Bakker, M. F., Pijnappel, R. M., Veldhuis, W. B., & Gilhuijs, K. G. A. (2022) · Radiology

AI in cancer detectionMRI in cancer diagnosis

Cited by 73

Multimodal Emotion Recognition from Eye Image, Eye Movement and EEG Using Deep Neural Networks

Guo, J.-J., Zhou, R., Zhao, L.-M., & Lu, B.-L. (2019) · 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Emotion and Mood RecognitionGaze Tracking and Assistive Technology

Cited by 73

Vicarious Learning: Effects of Overhearing Dialog and Monologue-like Discourse in a Virtual Tutoring Session

Driscoll, D. M., Craig, S. D., Gholson, B., Ventura, M., Hu, X., & Graesser, A. C. (2003) · Journal of Educational Computing Research

Intelligent Tutoring Systems and Adaptive LearningVisual and Cognitive Learning Processes

Cited by 73

Reinforcing Public University Student’s Worship Education by Developing and Implementing Mobile-Learning Management System in the ADDIE Instructional Design Model

Hanafi, Y., Murtadho, N., Ikhsan, M. A., & Diyana, T. N. (2020) · International Journal of Interactive Mobile Technologies (iJIM)

Multimedia Learning SystemsEducation and Islamic Studies

Cited by 73

Dr ChatGPT tell me what I want to hear: How different prompts impact health answer correctness

Koopman, B., & Zuccon, G. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Information Retrieval and Search BehaviorTopic Modeling

Cited by 73

Beyond Globally Optimal: Focused Learning for Improved Recommendations

Beutel, A., Chi, E. H., Cheng, Z., Pham, H., & Anderson, J. (2017) · Proceedings of the 26th International Conference on World Wide Web

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 73

Debates on the nature of artificial general intelligence

Mitchell, M. (2024) · Science

Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications

Cited by 73

A study of deep neural networks for human activity recognition

Sansano, E., Montoliu, R., & Belmonte Fernández, Ó. (2020) · Computational Intelligence

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 73

Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals

Lu, Y., Wang, M., Wu, W., Han, Y., Zhang, Q., & Chen, S. (2020) · Measurement

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 73

An Evolving TinyML Compression Algorithm for IoT Environments Based on Data Eccentricity

Signoretti, G., Silva, M., Andrade, P., Silva, I., Sisinni, E., & Ferrari, P. (2021) · Sensors

Advanced Data Compression TechniquesIoT Networks and Protocols

Cited by 73

Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference

Belinkov, Y., Poliak, A., Shieber, S., Van Durme, B., & Rush, A. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 73

12 years on – Is the NLM medical text indexer still useful and relevant?

Mork, J., Aronson, A., & Demner-Fushman, D. (2017) · Journal of Biomedical Semantics

Information Retrieval and Search BehaviorBiomedical Text Mining and Ontologies

Cited by 73

Scruples: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes

Lourie, N., Le Bras, R., & Choi, Y. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 73

Cell line authentication: a necessity for reproducible biomedical research

Souren, N. Y., Fusenig, N. E., Heck, S., Dirks, W. G., Capes‐Davis, A., Bianchini, F., & Plass, C. (2022) · The EMBO Journal

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 73