Check computer science papers: citations, claims and retractions

Classification and Clustering of Arguments with Contextualized Word Embeddings

Reimers, N., Schiller, B., Beck, T., Daxenberger, J., Stab, C., & Gurevych, I. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 157

Foundation Models for Generalist Geospatial Artificial Intelligence

Jakubik, J., Roy, S., Phillips, C. E., Fraccaro, P., Godwin, D., Zadrozny, B., Szwarcman, D., Gomes, C., Nyirjesy, G., Edwards, B., et al. (2023) · arXiv

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 157

LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning

Camacho, A., Toro Icarte, R., Klassen, T. Q., Valenzano, R., & McIlraith, S. A. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Reinforcement Learning in Roboticssemigroups and automata theory

Cited by 157

Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild

Fard, A. P., & Mahoor, M. H. (2022) · IEEE Access

Emotion and Mood RecognitionFace recognition and analysis

Cited by 157

A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics

Hoang, D.-T., Dinstag, G., Shulman, E. D., Hermida, L. C., Ben-Zvi, D. S., Elis, E., Caley, K., Sammut, S.-J., Sinha, S., Sinha, N., et al. (2024) · Nature Cancer

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 157

Improving Exhaustive Search Implies Superpolynomial Lower Bounds

Williams, R. (2013) · SIAM Journal on Computing

Complexity and Algorithms in GraphsAdvanced Graph Theory Research

Cited by 157

Facial Sentiment Analysis Using AI Techniques: State-of-the-Art, Taxonomies, and Challenges

Patel, K., Mehta, D., Mistry, C., Gupta, R., Tanwar, S., Kumar, N., & Alazab, M. (2020) · IEEE Access

Emotion and Mood RecognitionFace recognition and analysis

Cited by 157

Remote usability evaluations with disabled people.

Petrie, H., Hamilton, F., King, N., & Pavan, P. (2006) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignDigital Accessibility for Disabilities

Cited by 157

A Hybrid Deep Learning Model for Human Activity Recognition Using Multimodal Body Sensing Data

Gumaei, A., Hassan, M. M., Alelaiwi, A., & Alsalman, H. (2019) · IEEE Access

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 157

FocalMix: Semi-Supervised Learning for 3D Medical Image Detection

Wang, D., Zhang, Y., Zhang, K., & Wang, L. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 157

Trust in information sources: Seeking information from people, documents, and virtual agents

Hertzum, M., Andersen, H. H. K., Andersen, V., & Hansen, C. B. (2002) · Interacting with Computers

Information Retrieval and Search BehaviorUsability and User Interface Design

Cited by 157

Federated Learning for Internet of Things

Zhang, T., He, C., Ma, T., Gao, L., Ma, M., & Avestimehr, S. (2021) · Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 157

On attention models for human activity recognition

Murahari, V. S., & Plötz, T. (2018) · Proceedings of the 2018 ACM International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 157

Biometric authentication: system security and user privacy

Jain, A. K., & Nandakumar, K. (2012) · Computer

Biometric Identification and SecurityUser Authentication and Security Systems

Cited by 157

Limitations of transformers on clinical text classification

Gao, S., Alawad, M., Young, M. T., Gounley, J., Schaefferkoetter, N., Yoon, H. J., Wu, X.-C., Durbin, E. B., Doherty, J., Stroup, A., et al. (2021) · IEEE Journal of Biomedical and Health Informatics

Machine Learning in HealthcareTopic Modeling

Cited by 157

Retracted: Implementations of Virtual Reality for Anxiety-Related Disorders: Systematic Review

Oing, T., & Prescott, J. (2018) · JMIR Serious Games

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

Cited by 157

MarioNETte: Few-Shot Face Reenactment Preserving Identity of Unseen Targets

Ha, S., Kersner, M., Kim, B., Seo, S., & Kim, D. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 157

Mining Mobile User Preferences for Personalized Context-Aware Recommendation

Zhu, H., Chen, E., Xiong, H., Yu, K., Cao, H., & Tian, J. (2015) · ACM Transactions on Intelligent Systems and Technology

Recommender Systems and TechniquesHuman Mobility and Location-Based Analysis

Cited by 157

An Empirical Study on Network Anomaly Detection Using Convolutional Neural Networks

Kwon, D., Natarajan, K., Suh, S. C., Kim, H., & Kim, J. (2018) · 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 157

Context-aware adaptive and personalized mobile learning delivery supported by UoLmP

Gómez, S., Zervas, P., Sampson, D. G., & Fabregat, R. (2014) · Journal of King Saud University - Computer and Information Sciences

Intelligent Tutoring Systems and Adaptive LearningMobile Learning in Education

Cited by 157

Sustainability Failures of Rural Telecenters: Challenges from the Sustainable Access in Rural India (SARI) Project

Best, M. L., & Kumar, R. (2008) · Information Technologies and International Development

ICT in Developing CommunitiesICT Impact and Policies

Cited by 157

Issues with data and analyses: Errors, underlying themes, and potential solutions

Brown, A. W., Kaiser, K. A., & Allison, D. B. (2018) · Proceedings of the National Academy of Sciences

Research Data Management PracticesMeta-analysis and systematic reviews

Cited by 157

MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Pal, A., Umapathi, L. K., & Sankarasubbu, M. (2022) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 157

Correcting coherent errors with surface codes

Bravyi, S., Englbrecht, M., König, R., & Peard, N. (2018) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 157