Check computer science papers: citations, claims and retractions

Taking on the curse of dimensionality in joint distributions using neural networks

Bengio, S., & Bengio, Y. (2000) · IEEE Transactions on Neural Networks

Bayesian Modeling and Causal InferenceNeural Networks and Applications

Cited by 115

A novel chaos-based permutation for image encryption

Alawida, M. (2023) · Journal of King Saud University - Computer and Information Sciences

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 115

Beyond usability: evaluating emotional response as an integral part of the user experience

Agarwal, A., & Meyer, A. (2009) · CHI '09 Extended Abstracts on Human Factors in Computing Systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 115

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings

Ganea, O.-E., Bécigneul, G., & Hofmann, T. (2018) · arXiv

Advanced Graph Neural NetworksTopological and Geometric Data Analysis

Cited by 115

HoloNet: towards robust emotion recognition in the wild

Yao, A., Cai, D., Hu, P., Wang, S., Sha, L., & Chen, Y. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionFace recognition and analysis

Cited by 115

To camelcase or under_score

Binkley, D., Davis, M., Lawrie, D., & Morrell, C. (2009) · 2009 IEEE 17th International Conference on Program Comprehension

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 115

Computing within limits

Nardi, B., Tomlinson, B., Patterson, D. J., Chen, J., Pargman, D., Raghavan, B., & Penzenstadler, B. (2018) · Communications of the ACM

Energy Efficiency in ComputingGreen IT and Sustainability

Cited by 115

FPGA Implementation of Metastability-Based True Random Number Generator

HATA, H., & ICHIKAWA, S. (2012) · IEICE Transactions on Information and Systems

Physical Unclonable Functions (PUFs) and Hardware SecurityCryptographic Implementations and Security

Cited by 115

Analysis of the Cognition Involved in Spreadsheet Software Interaction

Olson, J. R., & Nilsen, E. (1987) · Human-Computer Interaction

Usability and User Interface DesignSpreadsheets and End-User Computing

Cited by 115

Relativistic quantum walks

Strauch, F. W. (2006) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 115

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting

Liu, X., Hu, J., Li, Y., Diao, S., Liang, Y., Hooi, B., & Zimmermann, R. (2024) · Proceedings of the ACM Web Conference 2024

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 115

The evolutionary origins of hierarchy

Mengistu, H., Huizinga, J., Mouret, J.-B., & Clune, J. (2016) · PLOS Computational Biology

Evolutionary Algorithms and ApplicationsEvolution and Genetic Dynamics

Cited by 115

BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection

Khan, S., Fazil, M., Sejwal, V. K., Alshara, M. A., Alotaibi, R. M., Kamal, A., & Baig, A. R. (2022) · Journal of King Saud University - Computer and Information Sciences

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 115

Concealed Data Poisoning Attacks on NLP Models

Wallace, E., Zhao, T., Feng, S., & Singh, S. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 115

SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Wang, H., Guo, S., Ye, J., Deng, Z., Cheng, J., Li, T., Chen, J., Su, Y., Huang, Z., Shen, Y., et al. (2023) · arXiv

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 115

What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study

Andrychowicz, M., Raichuk, A., Stańczyk, P., Orsini, M., Girgin, S., Marinier, R., Hussenot, L., Geist, M., Pietquin, O., Michalski, M., et al. (2020) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 115

Controlling social stress in virtual reality environments

Hartanto, D., Kampmann, I. L., Morina, N., Emmelkamp, P. G. M., Neerincx, M. A., & Brinkman, W.-P. (2014) · PLoS ONE

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 115

Design of a virtual human presenter

Noma, T., Zhao, L., & Badler, N. I. (2000) · IEEE Computer Graphics and Applications

Human Motion and AnimationSocial Robot Interaction and HRI

Cited by 115

Terrain generation using procedural models based on hydrology

Génevaux, J.-D., Galin, É., Guérin, E., Peytavie, A., & Benes, B. (2013) · ACM Transactions on Graphics

Computer Graphics and Visualization Techniques3D Shape Modeling and Analysis

Cited by 115

Automatic classification and speaker identification of African elephant (Loxodonta africana) vocalizations

Clemins, P. J., Johnson, M. T., Leong, K. M., & Savage, A. (2005) · The Journal of the Acoustical Society of America

Speech Recognition and SynthesisAnimal Vocal Communication and Behavior

Cited by 115

The acquisition of robust and flexible cognitive skills.

Taatgen, N. A., Huss, D., Dickison, D., & Anderson, J. R. (2008) · Journal of Experimental Psychology: General

AI-based Problem Solving and PlanningVisual and Cognitive Learning Processes

Cited by 115

Editing Large Language Models: Problems, Methods, and Opportunities

Yao, Y., Wang, P., Tian, B., Cheng, S., Li, Z., Deng, S., Chen, H., & Zhang, N. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 115

Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks

Jain, S. R., Gural, A., Wu, M., & Dick, C. H. (2019) · arXiv

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 115

Vection Change Exacerbates Simulator Sickness in Virtual Environments

Bonato, F., Bubka, A., Palmisano, S., Phillip, D., & Moreno, G. (2008) · Presence: Teleoperators and Virtual Environments

Virtual Reality Applications and ImpactsVisual perception and processing mechanisms

Cited by 115