Check computer science papers: citations, claims and retractions

Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale

Bach, S. H., Rodriguez, D., Liu, Y., Luo, C., Shao, H., Xia, C., Sen, S., Ratner, A., Hancock, B., Alborzi, H., et al. (2019) · Proceedings of the 2019 International Conference on Management of Data

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 118

User-Independent Recognition of Sports Activities from a Single Wrist-worn Accelerometer: A Template Matching Based Approach

Margarito, J., Helaoui, R., Bianchi, A., Sartor, F., & Bonomi, A. (2015) · IEEE Transactions on Biomedical Engineering

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 118

Optimized EIF-SLAM algorithm for precision agriculture mapping based on stems detection

Auat Cheein, F., Steiner, G., Perez Paina, G., & Carelli, R. (2011) · Computers and Electronics in Agriculture

Robotics and Sensor-Based LocalizationSmart Agriculture and AI

Cited by 118

Self-Instruct: Aligning Language Models with Self-Generated Instructions

Wang, Y., Kordi, Y., Mishra, S., Liu, A., Smith, N. A., Khashabi, D., & Hajishirzi, H. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 118

Security intrusion detection using quantum machine learning techniques

Kalinin, M., & Krundyshev, V. (2022) · Journal of Computer Virology and Hacking Techniques

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 118

A Study on the Psychology of Social Engineering-Based Cyberattacks and Existing Countermeasures

Siddiqi, M. A., Pak, W., & Siddiqi, M. A. (2022) · Applied Sciences

Spam and Phishing DetectionInformation and Cyber Security

Cited by 118

Believing in black boxes: machine learning for healthcare does not need explainability to be evidence-based

McCoy, L. G., Brenna, C. T. A., Chen, S. S., Vold, K., & Das, S. (2022) · Journal of Clinical Epidemiology

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 118

Challenges in the Decentralised Web: The Mastodon Case

Raman, A., Joglekar, S., Cristofaro, E. D., Sastry, N., & Tyson, G. (2019) · Proceedings of the Internet Measurement Conference

Blockchain Technology Applications and SecurityPeer-to-Peer Network Technologies

Cited by 118

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Zhao, T., Gu, Y., Yang, J., Usuyama, N., Lee, H. H., Naumann, T., Gao, J., Crabtree, A., Abel, J., Moung-Wen, C., et al. (2024) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 118

Cyberbullying Detection with a Pronunciation Based Convolutional Neural Network

Zhang, X., Tong, J., Vishwamitra, N., Whittaker, E., Mazer, J. P., Kowalski, R., Hu, H., Luo, F., Macbeth, J., & Dillon, E. (2016) · 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 118

Graph-based trace analysis for microservice architecture understanding and problem diagnosis

Guo, X., Peng, X., Wang, H., Li, W., Jiang, H., Ding, D., Xie, T., & Su, L. (2020) · Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 118

End-to-end generation of multiple-choice questions using text-to-text transfer transformer models

Rodriguez-Torrealba, R., Garcia-Lopez, E., & Garcia-Cabot, A. (2022) · Expert Systems with Applications

Topic ModelingNatural Language Processing Techniques

Cited by 118

Towards unravelling the relationship between on-body, environmental and emotion data using sensor information fusion approach

Kanjo, E., Younis, E. M. G., & Sherkat, N. (2018) · Information Fusion

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 118

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Schulhoff, S., Ilie, M., Balepur, N., Kahadze, K., Liu, A., Si, C., Li, Y., Gupta, A., Han, H., Schulhoff, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 118

Mitigating Measurement Errors in Quantum Computers by Exploiting State-Dependent Bias

Tannu, S. S., & Qureshi, M. K. (2019) · Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 118

Efficient Privacy Preserving in IoMT With Blockchain and Lightweight Secret Sharing

Li, C., Dong, M., Xin, X., Li, J., Chen, X.-B., & Ota, K. (2023) · IEEE Internet of Things Journal

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 118

A Framework and Algorithm for Energy Efficient Container Consolidation in Cloud Data Centers

Piraghaj, S. F., Dastjerdi, A. V., Calheiros, R. N., & Buyya, R. (2015) · 2015 IEEE International Conference on Data Science and Data Intensive Systems

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 118

Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation

Zhang, D., Han, J., Zhang, Y., & Xu, D. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Visual Attention and Saliency DetectionAdvanced Neural Network Applications

Cited by 118

Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country

Cruz-Jesus, F., Castelli, M., Oliveira, T., Mendes, R., Nunes, C., Sa-Velho, M., & Rosa-Louro, A. (2020) · Heliyon

Online Learning and AnalyticsEducational Outcomes and Influences

Cited by 118

A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase Study

Winkel, D. J., Tong, A., Lou, B., Kamen, A., Comaniciu, D., Disselhorst, J. A., Rodríguez-Ruiz, A., Huisman, H., Szolar, D., Shabunin, I., et al. (2021) · Investigative Radiology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 118

Robust Failure Diagnosis of Microservice System Through Multimodal Data

Zhang, S., Jin, P., Lin, Z., Sun, Y., Zhang, B., Xia, S., Li, Z., Zhong, Z., Ma, M., Jin, W., et al. (2023) · IEEE Transactions on Services Computing

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 118

DeepShift: Towards Multiplication-Less Neural Networks

Elhoushi, M., Chen, Z., Shafiq, F., Tian, Y. H., & Li, J. Y. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 117

Bias and Class Imbalance in Oncologic Data—Towards Inclusive and Transferrable AI in Large Scale Oncology Data Sets

Tasci, E., Zhuge, Y., Camphausen, K., & Krauze, A. V. (2022) · Cancers

Imbalanced Data Classification TechniquesArtificial Intelligence in Healthcare and Education

Cited by 117

Motivations in personalisation behaviour

Oulasvirta, A., & Blom, J. (2008) · Interacting with Computers

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 117