Check computer science papers: citations, claims and retractions

OpenAssistant Conversations - Democratizing Large Language Model Alignment

Köpf, A., Kilcher, Y., von Rütte, D., Anagnostidis, S., Tam, Z.-R., Stevens, K., Barhoum, A., Duc, N. M., Stanley, O., Nagyfi, R., et al. (2023) · arXiv

Natural Language Processing TechniquesSpeech and dialogue systems

Cited by 218

Speeding up to keep up: exploring the use of AI in the research process

Chubb, J., Cowling, P., & Reed, D. (2022) · AI & SOCIETY

Ethics and Social Impacts of AIResearch, Science, and Academia

Cited by 218

Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT

Taheri, R., Shojafar, M., Alazab, M., & Tafazolli, R. (2021) · IEEE Transactions on Industrial Informatics

Advanced Malware Detection TechniquesPrivacy-Preserving Technologies in Data

Cited by 218

Movement pruning: Adaptive sparsity by fine-tuning

Sanh, V., Wolf, T., & Rush, A. M. (2020) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 218

RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval

Wang, X., Du, Y., Yang, S., Zhang, J., Wang, M., Zhang, J., Yang, W., Huang, J., & Han, X. (2023) · Medical Image Analysis

AI in cancer detectionImage Retrieval and Classification Techniques

Cited by 218

‘Skimming-Perusal’ Tracking: A Framework for Real-Time and Robust Long-Term Tracking

Yan, B., Zhao, H., Wang, D., Lu, H., & Yang, X. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 218

Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models

Swietojanski, P., & Renals, S. (2014) · 2014 IEEE Spoken Language Technology Workshop (SLT)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 218

Big Data and Machine Learning Based Secure Healthcare Framework

Kaur, P., Sharma, M., & Mittal, M. (2018) · Procedia Computer Science

Internet of Things and AIArtificial Intelligence in Healthcare

Cited by 218

Prerequisites for artificial intelligence in further education: identification of drivers, barriers, and business models of educational technology companies

Renz, A., & Hilbig, R. (2020) · International Journal of Educational Technology in Higher Education

Online Learning and AnalyticsArtificial Intelligence in Education

Cited by 218

Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing

Ding, G., Guo, Y., Zhou, J., & Gao, Y. (2016) · IEEE Transactions on Image Processing

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 218

Identifying behavioral structure from deep variational embeddings of animal motion

Luxem, K., Mocellin, P., Fuhrmann, F., Kürsch, J., Miller, S. R., Palop, J. J., Remy, S., & Bauer, P. (2022) · Communications Biology

Human Pose and Action RecognitionMemory and Neural Mechanisms

Cited by 218

Macro- and micro-expression spotting in long videos using spatio-temporal strain

Shreve, M., Godavarthy, S., Goldgof, D., & Sarkar, S. (2011) · Face and Gesture 2011

Face recognition and analysisEmotion and Mood Recognition

Cited by 218

A Framework of Fog Computing: Architecture, Challenges, and Optimization

Liu, Y., Fieldsend, J. E., & Min, G. (2017) · IEEE Access

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 218

Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences

Miller, T., Howe, P., & Sonenberg, L. (2017) · arXiv

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

Cited by 218

Complexity-Theoretic Foundations of Quantum Supremacy Experiments

Aaronson, S., & Chen, L. (2016) · arXiv

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 218

Efficient Search for Diverse Coherent Explanations

Russell, C. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 218

Design Frictions for Mindful Interactions: The Case for Microboundaries

Cox, A. L., Gould, S. J. J., Cecchinato, M. E., Iacovides, I., & Renfree, I. (2016) · Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 218

ZoomBoard: a diminutive qwerty soft keyboard using iterative zooming for ultra-small devices

Oney, S., Harrison, C., Ogan, A., & Wiese, J. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 218

Moderately hard, memory-bound functions

Abadi, M., Burrows, M., Manasse, M., & Wobber, T. (2005) · ACM Transactions on Internet Technology

Security and Verification in ComputingUser Authentication and Security Systems

Cited by 218

Discrete Wavelet transform-based time series analysis and mining

Chaovalit, P., Gangopadhyay, A., Karabatis, G., & Chen, Z. (2011) · ACM Computing Surveys

Time Series Analysis and ForecastingMathematical Analysis and Transform Methods

Cited by 218

Perceptual video quality assessment: a survey

Min, X., Duan, H., Sun, W., Zhu, Y., & Zhai, G. (2024) · Science China Information Sciences

Image and Video Quality AssessmentVideo Coding and Compression Technologies

Cited by 218

BSIS: Blockchain-Based Secure Incentive Scheme for Energy Delivery in Vehicular Energy Network

Wang, Y., Su, Z., & Zhang, N. (2019) · IEEE Transactions on Industrial Informatics

Blockchain Technology Applications and SecurityElectric Vehicles and Infrastructure

Cited by 218

From individual to group-level emotion recognition: EmotiW 5.0

Dhall, A., Goecke, R., Ghosh, S., Joshi, J., Hoey, J., & Gedeon, T. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionFace recognition and analysis

Cited by 218

Learning to mine aligned code and natural language pairs from stack overflow

Yin, P., Deng, B., Chen, E., Vasilescu, B., & Neubig, G. (2018) · Proceedings of the 15th International Conference on Mining Software Repositories

Software Engineering ResearchNatural Language Processing Techniques

Cited by 218