Check computer science papers: citations, claims and retractions

The student activity meter for awareness and self-reflection

Govaerts, S., Verbert, K., Duval, E., & Pardo, A. (2012) · CHI '12 Extended Abstracts on Human Factors in Computing Systems

Data Visualization and AnalyticsOnline Learning and Analytics

Cited by 193

Comparison of free high resolution digital elevation data sets (ASTER GDEM2, SRTM v2.1/v4.1) and validation against accurate heights from the Australian National Gravity Database

Rexer, M., & Hirt, C. (2014) · Australian Journal of Earth Sciences

Satellite Image Processing and PhotogrammetrySynthetic Aperture Radar (SAR) Applications and Techniques

Cited by 193

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

Kirk, R., Zhang, A., Grefenstette, E., & Rocktäschel, T. (2023) · Journal of Artificial Intelligence Research

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 193

Desiderata for cognitive architectures

Sun, R. (2004) · Philosophical Psychology

Psychiatry, Mental Health, NeuroscienceAI-based Problem Solving and Planning

Cited by 193

Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Bai, J., Bai, S., Yang, S., Wang, S., Tan, S., Wang, P., Lin, J., Zhou, C., & Zhou, J. (2023) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 193

MFAS: Multimodal Fusion Architecture Search

Perez-Rua, J.-M., Vielzeuf, V., Pateux, S., Baccouche, M., & Jurie, F. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 193

An Insider Data Leakage Detection Using One-Hot Encoding, Synthetic Minority Oversampling and Machine Learning Techniques

Al-Shehari, T., & Alsowail, R. A. (2021) · Entropy

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 193

Scalable Methods for 8-bit Training of Neural Networks

Banner, R., Hubara, I., Hoffer, E., & Soudry, D. (2018) · arXiv

Advanced Neural Network ApplicationsStochastic Gradient Optimization Techniques

Cited by 193

Deep learning-based image analysis predicts PD-L1 status from H&E-stained histopathology images in breast cancer

Shamai, G., Livne, A., Polónia, A., Sabo, E., Cretu, A., Bar-Sela, G., & Kimmel, R. (2022) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 193

Assessing reactivity to virtual reality alcohol based cues

Bordnick, P. S., Traylor, A., Copp, H. L., Graap, K. M., Carter, B., Ferrer, M., & Walton, A. P. (2008) · Addictive Behaviors

Virtual Reality Applications and ImpactsSubstance Abuse Treatment and Outcomes

Cited by 193

Text mining in education

Ferreira‐Mello, R., André, M., Pinheiro, A., Costa, E., & Romero, C. (2019) · WIREs Data Mining and Knowledge Discovery

Online Learning and AnalyticsSentiment Analysis and Opinion Mining

Cited by 193

A Comprehensive IoT Attacks Survey based on a Building-blocked Reference Model

Akram, H., Konstantas, D., & Mahyoub, M. (2018) · International Journal of Advanced Computer Science and Applications

IoT and Edge/Fog ComputingNetwork Security and Intrusion Detection

Cited by 193

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Zhu, F., Lei, W., Huang, Y., Wang, C., Zhang, S., Lv, J., Feng, F., & Chua, T.-S. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 193

Privacy-preserving distributed linear regression on high-dimensional data

Gascón, A., Schoppmann, P., Balle, B., Raykova, M., Doerner, J., Zahur, S., & Evans, D. (2017) · Proceedings on Privacy Enhancing Technologies

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 193

FoR: A Dataset for Synthetic Speech Detection

Reimao, R., & Tzerpos, V. (2019) · 2019 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 193

Selective image encryption using a spatiotemporal chaotic system

Xiang, T., Wong, K.-W., & Liao, X. (2007) · Chaos: An Interdisciplinary Journal of Nonlinear Science

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 193

Multiaccuracy: Black-Box Post-Processing for Fairness in Classification

Kim, M. P., Ghorbani, A., & Zou, J. (2019) · Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 193

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Yu, T., Zhang, R., Yang, K., Yasunaga, M., Wang, D., Li, Z., Ma, J., Li, I., Yao, Q., Roman, S., et al. (2018) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 193

The State of Speech in HCI: Trends, Themes and Challenges

Clark, L., Doyle, P., Garaialde, D., Gilmartin, E., Schlögl, S., Edlund, J., Aylett, M., Cabral, J., Munteanu, C., Edwards, J., et al. (2019) · Interacting with Computers

Speech and dialogue systemsUsability and User Interface Design

Cited by 193

A new approach to secure logging

Ma, D., & Tsudik, G. (2009) · ACM Transactions on Storage

Cryptography and Data SecurityAdvanced Authentication Protocols Security

Cited by 192

A quantum convolutional neural network on NISQ devices

Wei, S., Chen, Y., Zhou, Z., & Long, G. (2022) · AAPPS Bulletin

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 192

Flow Matching for Generative Modeling

Lipman, Y., Chen, R. T. Q., Ben-Hamu, H., Nickel, M., & Le, M. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisModel Reduction and Neural Networks

Cited by 192

Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks

Pilzer, A., Xu, D., Puscas, M., Ricci, E., & Sebe, N. (2018) · 2018 International Conference on 3D Vision (3DV)

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 192

MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems

Liu, D., He, C., Peng, X., Lin, F., Zhang, C., Gong, S., Li, Z., Ou, J., & Wu, Z. (2021) · 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 192