Check computer science papers: citations, claims and retractions

Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery

Kim, S., Lu, P. Y., Mukherjee, S., Gilbert, M., Jing, L., Ceperic, V., & Soljacic, M. (2021) · IEEE Transactions on Neural Networks and Learning Systems

Evolutionary Algorithms and ApplicationsModel Reduction and Neural Networks

Cited by 215

Cloze-driven Pretraining of Self-attention Networks

Baevski, A., Edunov, S., Liu, Y., Zettlemoyer, L., & Auli, M. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 215

CRYPTANALYSIS OF FRIDRICH'S CHAOTIC IMAGE ENCRYPTION

SOLAK, E., ÇOKAL, C., YILDIZ, O. T., & BIYIKOĞLU, T. (2010) · International Journal of Bifurcation and Chaos

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 215

Temporal Action Detection Using a Statistical Language Model

Richard, A., & Gall, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 215

Module-Lattice-Based Digital Signature Standard

National Institute of Standards and Technology (US) (2024)

Cryptography and Data SecurityCryptography and Residue Arithmetic

Cited by 215

Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning

Benedetti, M., Realpe-Gómez, J., Biswas, R., & Perdomo-Ortiz, A. (2016) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 215

Sentiment analysis and opinion mining on educational data: A survey

Shaik, T., Tao, X., Dann, C., Xie, H., Li, Y., & Galligan, L. (2023) · Natural Language Processing Journal

Sentiment Analysis and Opinion MiningOnline Learning and Analytics

Cited by 215

A Meta-Analysis on the Relationship between Self-Reported Presence and Anxiety in Virtual Reality Exposure Therapy for Anxiety Disorders

Ling, Y., Nefs, H. T., Morina, N., Heynderickx, I., & Brinkman, W.-P. (2014) · PLoS ONE

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

Cited by 215

Proof of Delivery of Digital Assets Using Blockchain and Smart Contracts

Hasan, H. R., & Salah, K. (2018) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 215

Fall Detection Devices and Their Use With Older Adults: A Systematic Review

Chaudhuri, S., Thompson, H., & Demiris, G. (2014) · Journal of Geriatric Physical Therapy

Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Cited by 215

Learning with Opponent-Learning Awareness

Foerster, J., Chen, R. Y., Al-Shedivat, M., Whiteson, S., Abbeel, P., & Mordatch, I. (2018) · International Joint Conference on Autonomous Agents and Multiagent Systems

Reinforcement Learning in RoboticsGame Theory and Applications

Cited by 215

Deep Residual Neural Networks for Audio Spoofing Detection

Alzantot, M., Wang, Z., & Srivastava, M. B. (2019) · Interspeech 2019

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 215

Query2doc: Query Expansion with Large Language Models

Wang, L., Yang, N., & Wei, F. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Information Retrieval and Search BehaviorTopic Modeling

Cited by 214

A video game description language for model-based or interactive learning

Schaul, T. (2013) · 2013 IEEE Conference on Computational Inteligence in Games (CIG)

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 214

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Hong, S., Zhuge, M., Chen, J., Zheng, X., Cheng, Y., Zhang, C., Wang, J., Wang, Z., Yau, S. K. S., Lin, Z., et al. (2023) · arXiv

Multi-Agent Systems and NegotiationSoftware Engineering Research

Cited by 214

Deepfake video detection: challenges and opportunities

Kaur, A., Noori Hoshyar, A., Saikrishna, V., Firmin, S., & Xia, F. (2024) · Artificial Intelligence Review

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 214

Reinforcement learning for iot security: A comprehensive survey

Uprety, A., & Rawat, D. B. (2021) · IEEE Internet of Things Journal

Network Security and Intrusion DetectionIoT and Edge/Fog Computing

Cited by 214

Inherent Disagreements in Human Textual Inferences

Pavlick, E., & Kwiatkowski, T. (2019) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 214

A Taxonomy of Ethical Tensions in Inferring Mental Health States from Social Media

Chancellor, S., Birnbaum, M. L., Caine, E. D., Silenzio, V. M. B., & De Choudhury, M. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIMental Health via Writing

Cited by 214

Fully Quantized Network for Object Detection

Li, R., Wang, Y., Liang, F., Qin, H., Yan, J., & Fan, R. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 214

Does Size Matter? Authorship Attribution, Small Samples, Big Problem

Eder, M. (2015) · Digital Scholarship in the Humanities

Authorship Attribution and ProfilingDigital Humanities and Scholarship

Cited by 214

Structure optimization for parameterized quantum circuits

Ostaszewski, M., Grant, E., & Benedetti, M. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 214

Data Lifecycle Challenges in Production Machine Learning: A Survey

Polyzotis, N., Roy, S., Whang, S. E., & Zinkevich, M. (2018) · ACM SIGMOD Record

Data Quality and ManagementAdvanced Database Systems and Queries

Cited by 214

Topics, trends, and sentiments of tweets about the COVID-19 pandemic: Temporal infoveillance study

Chandrasekaran, R., Mehta, V., Valkunde, T., & Moustakas, E. (2020) · Journal of Medical Internet Research

Sentiment Analysis and Opinion MiningCommunication and COVID-19 Impact

Cited by 214