Check computer science papers: citations, claims and retractions

Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism

Li, Z., Yang, Z., & Wang, M. (2023) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 19

Risk Entropy Modeling of Surveillance Camera for Public Security Application

Zhang, H., Li, P., Du, Z., & Dou, W. (2020) · IEEE Access

Video Surveillance and Tracking MethodsTechnology and Security Systems

Cited by 19

8-bit Numerical Formats for Deep Neural Networks

Noune, B., Jones, P., Justus, D., Masters, D., & Luschi, C. (2022) · arXiv

Numerical Methods and AlgorithmsAdvanced Neural Network Applications

Cited by 19

Anonymization of Daily Activity Data by Using ℓ-diversity Privacy Model

Parameshwarappa, P., Chen, Z., & Koru, G. (2021) · ACM Transactions on Management Information Systems

Privacy-Preserving Technologies in DataData Management and Algorithms

Cited by 19

Reverse TCP and Social Engineering Attacks in the Era of Big Data

Atwell, C., Blasi, T., & Hayajneh, T. (2016) · 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS)

Network Security and Intrusion DetectionSpam and Phishing Detection

Cited by 19

Classical algorithms and quantum limitations for maximum cut on high-girth graphs

Barak, B., & Marwaha, K. (2021) · arXiv

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 19

Deep Implicit Distribution Alignment Networks for cross-Corpus Speech Emotion Recognition

Zhao, Y., Wang, J., Zong, Y., Zheng, W., Lian, H., & Zhao, L. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 19

Olympiad-level formal mathematical reasoning with reinforcement learning

Hubert, T., Mehta, R., Sartran, L., Horváth, M. Z., Žužić, G., Wieser, E., Huang, A., Schrittwieser, J., Schroecker, Y., Masoom, H., et al. (2026) · Nature

Artificial Intelligence ApplicationsMathematics, Computing, and Information Processing

Cited by 19

Detecting duplicate web documents using clickthrough data

Radlinski, F., Bennett, P. N., & Yilmaz, E. (2011) · Proceedings of the fourth ACM international conference on Web search and data mining

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 19

A novel structure for real-time digital sample-rate converters with finite precision error analysis

Park, S., Hillman, G., & Robles, R. (1991) · [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing

Digital Filter Design and ImplementationAnalog and Mixed-Signal Circuit Design

Cited by 19

Binary Classifier Calibration Using a Bayesian Non-Parametric Approach

Naeini, M. P., Cooper, G. F., & Hauskrecht, M. (2015) · Proceedings of the 2015 SIAM International Conference on Data Mining

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 19

Research on cloud computing service based on trust access control

Sun, P. (2020) · International Journal of Engineering Business Management

Access Control and TrustCloud Data Security Solutions

Cited by 19

Hybrid image encryption using Pseudo Random Number Generators, and transposition and substitution techniques

Ramesh, A., & Jain, A. (2015) · 2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15)

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 19

Meta-heuristics meet sports: A systematic review from the viewpoint of nature-inspired algorithms

Ariyaratne, M. K. A., & Silva, R. M. (2022) · International Journal of Computer Science in Sport

Metaheuristic Optimization Algorithms ResearchSports Analytics and Performance

Cited by 19

GroupTie: toward hidden collusion group discovery in app stores

Xie, Z., & Zhu, S. (2014) · Proceedings of the 2014 ACM conference on Security and privacy in wireless & mobile networks

Spam and Phishing DetectionBenford’s Law and Fraud Detection

Cited by 19

Convergence of stochastic-approximation-based algorithms for blind channel identification

Chen, H.-F., Cao, X.-R., & Zhu, J. (2002) · IEEE Transactions on Information Theory

Advanced Adaptive Filtering TechniquesControl Systems and Identification

Cited by 19

Meta Learning Backpropagation And Improving It

Kirsch, L., & Schmidhuber, J. (2020) · arXiv

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 19

Open-world continual learning: Unifying novelty detection and continual learning

Kim, G., Xiao, C., Konishi, T., Ke, Z., & Liu, B. (2025) · Artificial Intelligence

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 19

Towards robust and scalable peer-to-peer social networks

Olteanu, A., & Pierre, G. (2012) · Proceedings of the Fifth Workshop on Social Network Systems

Peer-to-Peer Network TechnologiesComplex Network Analysis Techniques

Cited by 19

Machine-Assisted Learning in Highly-Interdisciplinary Media Fields: A Multimedia Guide on Modern Art

Chatzara, E., Kotsakis, R., Tsipas, N., Vrysis, L., & Dimoulas, C. (2019) · Education Sciences

Educational Technology and E-LearningArt, Technology, and Culture

Cited by 19

Minority Views Matter: Evaluating Speech Emotion Classifiers With Human Subjective Annotations by an All-Inclusive Aggregation Rule

Chou, H.-C., Goncalves, L., Leem, S.-G., Salman, A. N., Lee, C.-C., & Busso, C. (2025) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 19

Reviving Static Charts Into Live Charts

Ying, L., Wang, Y., Li, H., Dou, S., Zhang, H., Jiang, X., Qu, H., & Wu, Y. (2025) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsVisual and Cognitive Learning Processes

Cited by 19

Dynamic session management for static and mobile users: a competitive on-line algorithmic approach

Bejerano, Y., Cidon, I., & Naor, J. (. (2000) · Proceedings of the 4th international workshop on Discrete algorithms and methods for mobile computing and communications

Network Traffic and Congestion ControlWireless Communication Networks Research

Cited by 19

Exploring the Real-Time Touchless Hand Interaction and Intelligent Agents in Augmented Reality Learning Applications

Iqbal, M. Z., Mangina, E., & Campbell, A. G. (2021) · 2021 7th International Conference of the Immersive Learning Research Network (iLRN)

Augmented Reality ApplicationsInteractive and Immersive Displays

Cited by 19