Check computer science papers: citations, claims and retractions

Extractive Opinion Summarization in Quantized Transformer Spaces

Angelidis, S., Amplayo, R. K., Suhara, Y., Wang, X., & Lapata, M. (2021) · Transactions of the Association for Computational Linguistics

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 85

Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings

Nelson, C. A., Butte, A. J., & Baranzini, S. E. (2019) · Nature Communications

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 85

Information Fusion in Attention Networks Using Adaptive and Multi-Level Factorized Bilinear Pooling for Audio-Visual Emotion Recognition

Zhou, H., Du, J., Zhang, Y., Wang, Q., Liu, Q.-F., & Lee, C.-H. (2021) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 85

Vehicle localization using mono-camera and geo-referenced traffic signs

Qu, X., Soheilian, B., & Paparoditis, N. (2015) · 2015 IEEE Intelligent Vehicles Symposium (IV)

Robotics and Sensor-Based LocalizationAutonomous Vehicle Technology and Safety

Cited by 85

Sdmec: software defined system for mobile edge computing

Jararweh, Y., Doulat, A., Darabseh, A., Alsmirat, M., Al-Ayyoub, M., & Benkhelifa, E. (2016) · 2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW)

IoT and Edge/Fog ComputingSoftware-Defined Networks and 5G

Cited by 85

Learning Context-Aware Policies from Multiple Smart Homes via Federated Multi-Task Learning

Yu, T., Li, T., Sun, Y., Nanda, S., Smith, V., Sekar, V., & Seshan, S. (2020) · 2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI)

Privacy-Preserving Technologies in DataAccess Control and Trust

Cited by 85

Model Multiplicity: Opportunities, Concerns, and Solutions

Black, E., Raghavan, M., & Barocas, S. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 85

Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector

Feng, D., Wei, X., Rosenbaum, L., Maki, A., & Dietmayer, K. (2019) · 2019 IEEE Intelligent Vehicles Symposium (IV)

Machine Learning and AlgorithmsAdvanced Neural Network Applications

Cited by 85

A not quite random walk: Experimenting with the ethnomethods of the algorithm

Ziewitz, M. (2017) · Big Data & Society

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 85

Finding Clones with Dup: Analysis of an Experiment

Baker, B. S. (2007) · IEEE Transactions on Software Engineering

Software Engineering ResearchAcademic integrity and plagiarism

Cited by 85

Three environmental discourses in human-computer interaction

Goodman, E. (2009) · CHI '09 Extended Abstracts on Human Factors in Computing Systems

Innovative Human-Technology InteractionSustainable Design and Development

Cited by 85

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

Liang, P. P., Lyu, Y., Fan, X., Wu, Z., Cheng, Y., Wu, J., Chen, L., Wu, P., Lee, M. A., Zhu, Y., et al. (2021) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 85

Adaptive call admission control under quality of service constraints: a reinforcement learning solution

Tong, H., & Brown, T. X. (2000) · IEEE Journal on Selected Areas in Communications

Network Traffic and Congestion ControlWireless Communication Networks Research

Cited by 85

SECTOR: A Neural Model for Coherent Topic Segmentation and Classification

Arnold, S., Schneider, R., Cudré-Mauroux, P., Gers, F. A., & Löser, A. (2019) · Transactions of the Association for Computational Linguistics

Topic ModelingText and Document Classification Technologies

Cited by 85

NMR Experiment Factors Numbers with Gauss Sums

Mehring, M., Müller, K., Averbukh, I. S., Merkel, W., & Schleich, W. P. (2007) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureCryptography and Residue Arithmetic

Cited by 85

Examining the Distinct Antecedents of E-Mail Habits and its Influence on the Outcomes of a Phishing Attack

Vishwanath, A. (2015) · Journal of Computer-Mediated Communication

Spam and Phishing DetectionInformation and Cyber Security

Cited by 85

Unifying analysis of full reference image quality assessment

Seshadrinathan, K., & Bovik, A. C. (2008) · 2008 15th IEEE International Conference on Image Processing

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 85

The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics

Yan, L., Martinez-Maldonado, R., Jin, Y., Echeverria, V., Milesi, M., Fan, J., Zhao, L., Alfredo, R., Li, X., & Gašević, D. (2025) · Computers & Education

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 85

AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection

Oorloff, T., Koppisetti, S., Bonettini, N., Solanki, D., Colman, B., Yacoob, Y., Shahriyari, A., & Bharaj, G. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 85

Analysis of Object Detection Performance Based on Faster R-CNN

Li, W. (2021) · Journal of Physics: Conference Series

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 85

Sora Identity: Secure, Digital Identity on the Blockchain

Takemiya, M., & Vanieiev, B. (2018) · 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 85

Real-Time Vehicle Classification and Tracking Using a Transfer Learning-Improved Deep Learning Network

Neupane, B., Horanont, T., & Aryal, J. (2022) · Sensors

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 85

The Affective Weight of Lexicon

Strapparava, C., Valitutti, A., & Stock, O. (2006) · Proceedings of the Language Resources and Evaluation Conference

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 85

Data Sharing from Clinical Trials — A Research Funder’s Perspective

Kiley, R., Peatfield, T., Hansen, J., & Reddington, F. (2017) · New England Journal of Medicine

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 85