Check computer science papers: citations, claims and retractions

Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors

Li, F., Shirahama, K., Nisar, M., Köping, L., & Grzegorzek, M. (2018) · Sensors

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 302

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context

Khandelwal, U., He, H., Qi, P., & Jurafsky, D. (2018) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 302

Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review

Al Naqbi, H., Bahroun, Z., & Ahmed, V. (2024) · Sustainability

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

Cited by 302

Loghub: a large collection of system log datasets for AI-driven log analytics

Zhu, J., He, S., He, P., Liu, J., & Lyu, M. R. (2023) · 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 302

Links between perceptrons, MLPs and SVMs

Collobert, R., & Bengio, S. (2004) · Twenty-first international conference on Machine learning - ICML '04

Neural Networks and ApplicationsMachine Learning and Algorithms

Cited by 302

Towards Measuring Stress with Smartphones and Wearable Devices During Workday and Sleep

Muaremi, A., Arnrich, B., & Tröster, G. (2013) · BioNanoScience

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 302

One Point Isometric Matching with the Heat Kernel

Ovsjanikov, M., Mérigot, Q., Mémoli, F., & Guibas, L. (2010) · Computer Graphics Forum

3D Shape Modeling and AnalysisGeometric Analysis and Curvature Flows

Cited by 301

I Lead, You Help but Only with Enough Details: Understanding User Experience of Co-Creation with Artificial Intelligence

Oh, C., Song, J., Choi, J., Kim, S., Lee, S., & Suh, B. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 301

Factors of Transferability for a Generic ConvNet Representation

Azizpour, H., Razavian, A. S., Sullivan, J., Maki, A., & Carlsson, S. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 301

YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Xu, N., Yang, L., Fan, Y., Yue, D., Liang, Y., Yang, J., & Huang, T. (2018) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 301

Pose Recognition with Cascade Transformers

Li, K., Wang, S., Zhang, X., Xu, Y., Xu, W., & Tu, Z. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 301

Support vector machines in engineering: an overview

Salcedo‐Sanz, S., Rojo‐Álvarez, J. L., Martínez‐Ramón, M., & Camps‐Valls, G. (2014) · WIREs Data Mining and Knowledge Discovery

Machine Learning and ELMNeural Networks and Applications

Cited by 301

Convolutional neural networks for multi-class brain disease detection using MRI images

Talo, M., Yildirim, O., Baloglu, U. B., Aydin, G., & Acharya, U. R. (2019) · Computerized Medical Imaging and Graphics

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 301

A Review on Deep Learning Techniques for Video Prediction

Oprea, S., Martinez-Gonzalez, P., Garcia-Garcia, A., Castro-Vargas, J. A., Orts-Escolano, S., Garcia-Rodriguez, J., & Argyros, A. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Generative Adversarial Networks and Image SynthesisHuman Pose and Action Recognition

Cited by 301

Analyzing the Structure of Attention in a Transformer Language Model

Vig, J., & Belinkov, Y. (2019) · Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

Topic ModelingNatural Language Processing Techniques

Cited by 301

Status report on the third round of the NIST Post-Quantum Cryptography Standardization process

Alagic, G., Apon, D., Cooper, D., Dang, Q., Dang, T., Kelsey, J., Lichtinger, J., Liu, Y.-K., Miller, C., Moody, D., et al. (2022)

Cryptography and Data SecurityCryptography and Residue Arithmetic

Cited by 301

Video Diffusion Models

Ho, J., Salimans, T., Gritsenko, A., Chan, W., Norouzi, M., & Fleet, D. J. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 301

Blind image quality assessment through anisotropy

Gabarda, S., & Cristóbal, G. (2007) · Journal of the Optical Society of America A

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 301

A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations

Karimi, A.-H., Barthe, G., Schölkopf, B., & Valera, I. (2023) · ACM Computing Surveys

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 301

Conducting perception research over the internet: A tutorial review

Woods, A. T., Velasco, C., Levitan, C. A., Wan, X., & Spence, C. (2015) · PeerJ

Mobile Crowdsensing and CrowdsourcingVisual perception and processing mechanisms

Cited by 301

An empirical analysis of feature engineering for predictive modeling

Heaton, J. (2016) · SoutheastCon 2016

Machine Learning and Data ClassificationData Mining and Machine Learning Applications

Cited by 301

Trust building with explanation interfaces

Pu, P., & Chen, L. (2006) · Proceedings of the 11th international conference on Intelligent user interfaces

Recommender Systems and TechniquesExplainable Artificial Intelligence (XAI)

Cited by 300

Inductive biases for deep learning of higher-level cognition

Goyal, A., & Bengio, Y. (2022) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

Domain Adaptation and Few-Shot LearningPsychiatry, Mental Health, Neuroscience

Cited by 300

PMC-LLaMA: toward building open-source language models for medicine

Wu, C., Lin, W., Zhang, X., Zhang, Y., Xie, W., & Wang, Y. (2024) · Journal of the American Medical Informatics Association

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 300