Check computer science papers: citations, claims and retractions

Towards platform observability

Rieder, B., & Hofmann, J. (2020) · Internet Policy Review

Ethics and Social Impacts of AIDiverse Legal and Medical Studies

Cited by 132

Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?

Ravichander, A., Belinkov, Y., & Hovy, E. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

Topic ModelingNatural Language Processing Techniques

Cited by 132

Weakly Supervised Object Detection Using Proposal- and Semantic-Level Relationships

Zhang, D., Zeng, W., Yao, J., & Han, J. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 132

The Effects and Interactions of Data Quality and Problem Complexity on Classification

Blake, R., & Mangiameli, P. (2011) · Journal of Data and Information Quality

Data Quality and ManagementData Mining and Machine Learning Applications

Cited by 132

Scalable watermarking for identifying large language model outputs

Dathathri, S., See, A., Ghaisas, S., Huang, P.-S., McAdam, R., Welbl, J., Bachani, V., Kaskasoli, A., Stanforth, R., Matejovicova, T., et al. (2024) · Nature

Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning

Cited by 132

A Machine Learning Approach to TCP Throughput Prediction

Mirza, M., Sommers, J., Barford, P., & Zhu, X. (2010) · IEEE/ACM Transactions on Networking

Network Traffic and Congestion ControlSoftware-Defined Networks and 5G

Cited by 132

Embedding Uncertain Knowledge Graphs

Chen, X., Chen, M., Shi, W., Sun, Y., & Zaniolo, C. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksTopic Modeling

Cited by 132

Using Tangible Smart Replicas as Controls for an Interactive Museum Exhibition

Marshall, M. T., Dulake, N., Ciolfi, L., Duranti, D., Kockelkorn, H., & Petrelli, D. (2016) · Proceedings of the TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction

Interactive and Immersive DisplaysMuseums and Cultural Heritage

Cited by 132

The Algorithmic Crystal: Conceptualizing the Self through Algorithmic Personalization on TikTok

Lee, A. Y., Mieczkowski, H., Ellison, N. B., & Hancock, J. T. (2022) · Proceedings of the ACM on Human-Computer Interaction

Innovative Human-Technology InteractionPrivacy, Security, and Data Protection

Cited by 132

Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning

Tripathi, S., Tripathi, S., & Beigi, H. (2018) · arXiv

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 132

Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey

Qian, B., Su, J., Wen, Z., Jha, D. N., Li, Y., Guan, Y., Puthal, D., James, P., Yang, R., Zomaya, A. Y., et al. (2021) · ACM Computing Surveys

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 132

Manhattan scene understanding using monocular, stereo, and 3D features

Flint, A., Murray, D., & Reid, I. (2011) · 2011 International Conference on Computer Vision

Advanced Vision and ImagingRobotics and Sensor-Based Localization

Cited by 132

Experimental Characterization of Physical Unclonable Function Based on 1 kb Resistive Random Access Memory Arrays

Liu, R., Wu, H., Pang, Y., Qian, H., & Yu, S. (2015) · IEEE Electron Device Letters

Physical Unclonable Functions (PUFs) and Hardware SecurityAdvanced Memory and Neural Computing

Cited by 132

PLA: Language-Driven Open-Vocabulary 3D Scene Understanding

Ding, R., Yang, J., Xue, C., Zhang, W., Bai, S., & Qi, X. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 131

SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

Frantar, E., & Alistarh, D. (2023) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 131

PAIP 2019: Liver cancer segmentation challenge

Kim, Y. J., Jang, H., Lee, K., Park, S., Min, S.-G., Hong, C., Park, J. H., Lee, K., Kim, J., Hong, W., et al. (2021) · Medical Image Analysis

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 131

Ensemble-Learning Framework for Intrusion Detection to Enhance Internet of Things’ Devices Security

Alotaibi, Y., & Ilyas, M. (2023) · Sensors

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 131

Machine learning in industrial control system (ICS) security: Current landscape, opportunities and challenges

Koay, A. M. Y., Ko, R. K. L., Hettema, H., & Radke, K. (2023) · Journal of Intelligent Information Systems

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 131

Blockchain Intelligence for Internet of Vehicles: Challenges and Solutions

Wang, X., Zhu, H., Ning, Z., Guo, L., & Zhang, Y. (2023) · IEEE Communications Surveys & Tutorials

Blockchain Technology Applications and SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 131

A Mapping Study on Requirements Engineering in Agile Software Development

Heikkila, V. T., Damian, D., Lassenius, C., & Paasivaara, M. (2015) · 2015 41st Euromicro Conference on Software Engineering and Advanced Applications

Software Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Cited by 131

Federated learning meets blockchain in decentralized data-sharing: Healthcare use case

Alsamhi, S. H., Myrzashova, R., Hawbani, A., Kumar, S., Srivastava, S., Zhao, L., Wei, X., Guizan, M., & Curry, E. (2024) · IEEE Internet of Things Journal

Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data

Cited by 131

The Promise of Eye-Tracking Methodology in Organizational Research: A Taxonomy, Review, and Future Avenues

Meißner, M., & Oll, J. (2019) · Organizational Research Methods

Gaze Tracking and Assistive TechnologyBusiness Strategies and Management Research

Cited by 131

A survey on the (in)security of trusted execution environments

Muñoz, A., Ríos, R., Román, R., & López, J. (2023) · Computers & Security

Security and Verification in ComputingCryptographic Implementations and Security

Cited by 131

Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network

Hasegawa, D., Kaneko, N., Shirakawa, S., Sakuta, H., & Sumi, K. (2018) · Proceedings of the 18th International Conference on Intelligent Virtual Agents

Human Motion and AnimationHand Gesture Recognition Systems

Cited by 131