Check computer science papers: citations, claims and retractions

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Li, F., Zhang, H., Liu, S., Guo, J., Ni, L. M., & Zhang, L. (2022) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 57

Rule-Based Reinforcement Learning for Efficient Robot Navigation With Space Reduction

Zhu, Y., Wang, Z., Chen, C., & Dong, D. (2022) · IEEE/ASME Transactions on Mechatronics

Reinforcement Learning in RoboticsRobotic Path Planning Algorithms

Cited by 57

NNIME: The NTHU-NTUA Chinese interactive multimodal emotion corpus

Chou, H.-C., Lin, W.-C., Chang, L.-C., Li, C.-C., Ma, H.-P., & Lee, C.-C. (2017) · 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 57

Cyberbullying detection using deep transfer learning

Roy, P. K., & Mali, F. U. (2022) · Complex & Intelligent Systems

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 57

SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice

Singhal, M., Ling, C., Paudel, P., Thota, P., Kumarswamy, N., Stringhini, G., & Nilizadeh, S. (2023) · 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P)

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 57

Improving Video Vision Transformer for Deepfake Video Detection Using Facial Landmark, Depthwise Separable Convolution and Self Attention

Ramadhani, K. N., Munir, R., & Utama, N. P. (2024) · IEEE Access

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 57

A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration

Gao, J., Gebreegziabher, S. A., Choo, K. T. W., Li, T. J.-J., Perrault, S. T., & Malone, T. W. (2024) · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignSpeech and dialogue systems

Cited by 57

Taming unbalanced training workloads in deep learning with partial collective operations

Li, S., Ben-Nun, T., Girolamo, S. D., Alistarh, D., & Hoefler, T. (2020) · Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

Stochastic Gradient Optimization TechniquesParallel Computing and Optimization Techniques

Cited by 57

Generative model benchmarks for superconducting qubits

Hamilton, K. E., Dumitrescu, E. F., & Pooser, R. C. (2019) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 57

Using parameterized signatures to express modular structure

Jones, M. P. (1996) · Proceedings of the 23rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '96

Logic, programming, and type systemsAdvanced Software Engineering Methodologies

Cited by 57

An Adaptive Framework for Multi-Vehicle Ground Speed Estimation in Airborne Videos

Li, J., Chen, S., Zhang, F., Li, E., Yang, T., & Lu, Z. (2019) · Remote Sensing

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 57

Classification of Remote Sensing Images With Parameterized Quantum Gates

Otgonbaatar, S., & Datcu, M. (2022) · IEEE Geoscience and Remote Sensing Letters

Quantum Computing Algorithms and ArchitectureRemote-Sensing Image Classification

Cited by 57

Stochastic superoptimization

Schkufza, E., Sharma, R., & Aiken, A. (2013) · ACM SIGARCH Computer Architecture News

Parallel Computing and Optimization TechniquesLogic, programming, and type systems

Cited by 57

Discrete Network Embedding

Shen, X., Pan, S., Liu, W., Ong, Y.-S., & Sun, Q.-S. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 57

Measuring the Reliability of Reinforcement Learning Algorithms

Chan, S. C. Y., Fishman, S., Canny, J., Korattikara, A., & Guadarrama, S. (2019) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 57

Reinforcement Quantum Annealing: A Hybrid Quantum Learning Automata

Ayanzadeh, R., Halem, M., & Finin, T. (2020) · Scientific Reports

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 57

A 28NM Integrated True Random Number Generator Harvesting Entropy from MRAM

Yang, K., Dong, Q., Wang, Z., Shih, Y.-C., Chih, Y.-D., Chang, J., Blaauw, D., & Svlvester, D. (2018) · 2018 IEEE Symposium on VLSI Circuits

Physical Unclonable Functions (PUFs) and Hardware SecurityMagnetic properties of thin films

Cited by 57

Automatic animation skeleton using repulsive force field

Liu, P.-C., Wu, F.-C., Ma, W.-C., Liang, R.-H., & Ouhyoung, M. (2004) · 11th Pacific Conference onComputer Graphics and Applications, 2003. Proceedings.

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 57

Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles

de Prado, M., Rusci, M., Capotondi, A., Donze, R., Benini, L., & Pazos, N. (2021) · Sensors

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 57

Retracted: Human Emotion Recognition Based on Galvanic Skin Response Signal Feature Selection and SVM

Liu, M., Fan, D., Zhang, X., & Gong, X. (2016) · 2016 International Conference on Smart City and Systems Engineering (ICSCSE)

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 57

Toward transcoding as a service: energy-efficient offloading policy for green mobile cloud

Zhang, W., Wen, Y., & Chen, H.-H. (2014) · IEEE Network

IoT and Edge/Fog ComputingGreen IT and Sustainability

Cited by 57

Release the Kraken: New KRACKs in the 802.11 Standard

Vanhoef, M., & Piessens, F. (2018) · Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security

Wireless Networks and ProtocolsCryptographic Implementations and Security

Cited by 57

Non-linear function model of voice pitch dependency on physical and mental load.

Johannes, B., Wittels, P., Enne, R., Eisinger, G., Castro, C. A., Thomas, J. L., Adler, A. B., & Gerzer, R. (2007) · European Journal of Applied Physiology

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 57

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

Delobelle, P., Tokpo, E., Calders, T., & Berendt, B. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Ethics and Social Impacts of AITopic Modeling

Cited by 57