Check computer science papers: citations, claims and retractions

The role of ChatGPT in data science: How AI-assisted conversational interfaces are revolutionizing the field

Hassani, H., & Silva, E. S. (2023) · Big Data and Cognitive Computing

Artificial Intelligence ApplicationsTopic Modeling

Cited by 401

Taming verification hardness: an efficient algorithm for testing subgraph isomorphism

Shang, H., Zhang, Y., Lin, X., & Yu, J. X. (2008) · Proceedings of the VLDB Endowment

Graph Theory and AlgorithmsAdvanced Database Systems and Queries

Cited by 401

People, organizations, and process improvement

Perry, D. E., Staudenmayer, N. A., & Votta, L. G. (1994) · IEEE Software

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 401

Deep learning for robust feature generation in audiovisual emotion recognition

Kim, Y., Lee, H., & Provost, E. M. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 401

Global Texture Enhancement for Fake Face Detection in the Wild

Liu, Z., Qi, X., & Torr, P. H. S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 401

Attention-Based Multimodal Fusion for Video Description

Hori, C., Hori, T., Lee, T.-Y., Zhang, Z., Harsham, B., Hershey, J. R., Marks, T. K., & Sumi, K. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 401

Unbiased Mean Teacher for Cross-domain Object Detection

Deng, J., Li, W., Chen, Y., & Duan, L. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 401

Programming Is Hard - Or at Least It Used to Be: Educational Opportunities and Challenges of AI Code Generation

Becker, B. A., Denny, P., Finnie-Ansley, J., Luxton-Reilly, A., Prather, J., & Santos, E. A. (2023) · Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 401

Can AI Help Reduce Disparities in General Medical and Mental Health Care?

Chen, I. Y., Peter Szolovits, B., & Ghassemi, M. (2019) · AMA Journal of Ethics

Ethics and Social Impacts of AIMachine Learning in Healthcare

Cited by 401

Representations systems, perceptual position, and presence in immersive virtual environments

Slater, M., & Usoh, M. (1993) · Presence: Teleoperators and Virtual Environments

Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI

Cited by 401

Executing a program on the MIT tagged-token dataflow architecture

Arvind, & Nikhil, R. S. (1990) · IEEE Transactions on Computers

Parallel Computing and Optimization TechniquesEmbedded Systems Design Techniques

Cited by 401

A practical guide to multi-objective reinforcement learning and planning

Hayes, C. F., Rădulescu, R., Bargiacchi, E., Källström, J., Macfarlane, M., Reymond, M., Verstraeten, T., Zintgraf, L. M., Dazeley, R., Heintz, F., et al. (2022) · Autonomous Agents and Multi-Agent Systems

Reinforcement Learning in RoboticsAdvanced Multi-Objective Optimization Algorithms

Cited by 400

Backpropagation

Chauvin, Y., & Rumelhart, D. E. (2013) · Psychology Press eBooks

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 400

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Bai, Y., Lv, X., Zhang, J., Lyu, H., Tang, J., Huang, Z., Du, Z., Liu, X., Zeng, A., Hou, L., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 400

Quantum computations on a topologically encoded qubit

Nigg, D., Müller, M., Martinez, E. A., Schindler, P., Hennrich, M., Monz, T., Martin-Delgado, M. A., & Blatt, R. (2014) · Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 400

Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100

Damen, D., Doughty, H., Farinella, G. M., Furnari, A., Kazakos, E., Ma, J., Moltisanti, D., Munro, J., Perrett, T., Price, W., et al. (2022) · International Journal of Computer Vision

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 400

The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective

Kato, N., Fadlullah, Z. M., Mao, B., Tang, F., Akashi, O., Inoue, T., & Mizutani, K. (2017) · IEEE Wireless Communications

Software-Defined Networks and 5GNetwork Traffic and Congestion Control

Cited by 400

Attention Bottlenecks for Multimodal Fusion

Nagrani, A., Yang, S., Arnab, A., Jansen, A., Schmid, C., & Sun, C. (2021) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 400

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Jiang, H., Wu, Q., Luo, X., Li, D., Lin, C.-Y., Yang, Y., & Qiu, L. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 400

UK biobank data: come and get it

Allen, N. E., Sudlow, C., Peakman, T., Collins, R., & Biobank, O. B. O. U. (2014) · Science Translational Medicine

Research Data Management PracticesGenetic Associations and Epidemiology

Cited by 399

AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks

Jung, J.-W., Heo, H.-S., Tak, H., Shim, H.-J., Chung, J. S., Lee, B.-J., Yu, H.-J., & Evans, N. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 399

Burst of the Filter Bubble?: Effects of personalization on the diversity of Google News

Haim, M., Graefe, A., & Brosius, H.-B. (2018) · Digital Journalism

Recommender Systems and TechniquesMedia Influence and Politics

Cited by 399

Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues

Rahman, A., Hossain, M. S., Muhammad, G., Kundu, D., Debnath, T., Rahman, M., Khan, M. S. I., Tiwari, P., & Band, S. S. (2023) · Cluster Computing

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 399

Determining causes and severity of end-user frustration

Ceaparu, I., Lazar, J., Bessiere, K., Robinson, J., & Shneiderman, B. (2004) · International Journal of Human-Computer Interaction

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 399