Check computer science papers: citations, claims and retractions

Improving Deep Learning for HAR with Shallow LSTMs

Bock, M., Hölzemann, A., Moeller, M., & Van Laerhoven, K. (2021) · 2021 International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 74

Microwalk: A framework for finding side channels in binaries

Wichelmann, J., Moghimi, A., Eisenbarth, T., & Sunar, B. (2018) · Proceedings of the 34th Annual Computer Security Applications Conference

Cryptographic Implementations and SecuritySecurity and Verification in Computing

Cited by 74

Survey on Models and Techniques for Root-Cause Analysis

Solé, M., Muntés-Mulero, V., Rana, A. I., & Estrada, G. (2017) · arXiv

Software System Performance and ReliabilityFault Detection and Control Systems

Cited by 74

Methods of deepfake detection based on machine learning

Maksutov, A. A., Morozov, V. O., Lavrenov, A. A., & Smirnov, A. S. (2020) · 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 74

HetMEC: Heterogeneous Multi-Layer Mobile Edge Computing in the 6 G Era

Zhang, Y., Di, B., Wang, P., Lin, J., & Song, L. (2020) · IEEE Transactions on Vehicular Technology

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 74

WinoQueer: A community-in-the-loop benchmark for anti-LGBTQ+ bias in large language models

Felkner, V., Chang, H.-C. H., Jang, E., & May, J. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 74

Gradient based Feature Attribution in Explainable AI: A Technical Review

Wang, Y., Zhang, T., Guo, X., & Shen, Z. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 74

Target Adaptive Context Aggregation for Video Scene Graph Generation

Teng, Y., Wang, L., Li, Z., & Wu, G. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 74

Psoriasis skin biopsy image segmentation using Deep Convolutional Neural Network

Pal, A., Garain, U., Chandra, A., Chatterjee, R., & Senapati, S. (2018) · Computer Methods and Programs in Biomedicine

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 74

HybridFlow: A Flexible and Efficient RLHF Framework

Sheng, G., Zhang, C., Ye, Z., Wu, X., Zhang, W., Zhang, R., Peng, Y., Lin, H., & Wu, C. (2024) · arXiv

Parallel Computing and Optimization TechniquesScientific Computing and Data Management

Cited by 74

When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain

Shah, R., Chawla, K., Eidnani, D., Shah, A., Du, W., Chava, S., Raman, N., Smiley, C., Chen, J., & Yang, D. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 74

Atlas registration for edema-corrected MRI lesion volume in mouse stroke models

Koch, S., Mueller, S., Foddis, M., Bienert, T., von Elverfeldt, D., Knab, F., Farr, T. D., Bernard, R., Dopatka, M., Rex, A., et al. (2019) · Journal of Cerebral Blood Flow & Metabolism

Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications

Cited by 74

Dense X Retrieval: What Retrieval Granularity Should We Use?

Chen, T., Wang, H., Chen, S., Yu, W., Ma, K., Zhao, X., Zhang, H., & Yu, D. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 74

Sustainable Growth and Token Economy Design: The Case of Steemit

Kim, M. S., & Chung, J. Y. (2018) · Sustainability

Blockchain Technology Applications and SecurityFinTech, Crowdfunding, Digital Finance

Cited by 74

Hybrid graph convolutional network with online masked autoencoder for robust multimodal cancer survival prediction

Hou, W., Lin, C., Yu, L., Qin, J., Yu, R., & Wang, L. (2023) · IEEE Transactions on Medical Imaging

Machine Learning in HealthcareAdvanced Graph Neural Networks

Cited by 74

Artificial Intelligence Advancements in Oncology: A Review of Current Trends and Future Directions

Huhulea, E. N., Huang, L., Eng, S., Sumawi, B., Huang, A., Aifuwa, E., Hirani, R., Tiwari, R. K., & Etienne, M. (2025) · Biomedicines

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 74

Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering

Adlakha, V., BehnamGhader, P., Lu, X. H., Meade, N., & Reddy, S. (2024) · Transactions of the Association for Computational Linguistics

Topic ModelingInformation Retrieval and Search Behavior

Cited by 74

Patterns of experience in text editing

Rosson, M. B. (1983) · Proceedings of the SIGCHI conference on Human Factors in Computing Systems - CHI '83

Usability and User Interface DesignSpreadsheets and End-User Computing

Cited by 74

Securing icn-based UAV ad hoc networks with blockchain

Lei, K., Zhang, Q., Lou, J., Bai, B., & Xu, K. (2019) · IEEE Communications Magazine

Caching and Content DeliveryBlockchain Technology Applications and Security

Cited by 74

Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects

Shumba, A.-T., Montanaro, T., Sergi, I., Bramanti, A., Ciccarelli, M., Rispoli, A., Carrizzo, A., De Vittorio, M., & Patrono, L. (2023) · Sensors

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 74

Neighbor-view Enhanced Model for Vision and Language Navigation

An, D., Qi, Y., Huang, Y., Wu, Q., Wang, L., & Tan, T. (2021) · Proceedings of the 29th ACM International Conference on Multimedia

Multimodal Machine Learning ApplicationsSpatial Cognition and Navigation

Cited by 74

Continual Learning for Text Classification with Information Disentanglement Based Regularization

Huang, Y., Zhang, Y., Chen, J., Wang, X., & Yang, D. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 74

Train Once, Test Anywhere: Zero-Shot Learning for Text Classification

Pushp, P. K., & Srivastava, M. M. (2017) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 74

Automated quantification of cerebral edema following hemispheric infarction: application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs

Chen, Y., Dhar, R., Heitsch, L., Ford, A., Fernandez-Cadenas, I., Carrera, C., Montaner, J., Lin, W., Shen, D., An, H., et al. (2016) · NeuroImage: Clinical

Medical Image Segmentation TechniquesAcute Ischemic Stroke Management

Cited by 74