Check computer science papers: citations, claims and retractions

Acoustic models of the elderly for large-vocabulary continuous speech recognition

Baba, A., Yoshizawa, S., Yamada, M., Lee, A., & Shikano, K. (2004) · Electronics and Communications in Japan (Part II Electronics)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 45

Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification

Li, S., Yang, J., Bao, H., Xia, D., Zhang, Q., & Wang, G. (2025) · IEEE Transactions on Knowledge and Data Engineering

Rough Sets and Fuzzy LogicText and Document Classification Technologies

Cited by 45

Incremental Block Cholesky Factorization for Nonlinear Least Squares in Robotics

Polok, L., Ila, V., Solony, M., Smrz, P., & Zemcik, P. (2013) · Robotics: Science and Systems IX

Matrix Theory and AlgorithmsRobotics and Sensor-Based Localization

Cited by 45

Predicting Complications in Critical Care Using Heterogeneous Clinical Data

Huddar, V., Desiraju, B. K., Rajan, V., Bhattacharya, S., Roy, S., & Reddy, C. K. (2016) · IEEE Access

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 45

Fruit-80: A Secure Ultra-Lightweight Stream Cipher for Constrained Environments

Amin Ghafari, V., & Hu, H. (2018) · Entropy

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 45

Analysis of the Potentials of Blockchain for the Governance of Global Digital Commons

Rozas, D., Tenorio-Fornés, A., & Hassan, S. (2021) · Frontiers in Blockchain

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 45

BRITD: behavior rhythm insider threat detection with time awareness and user adaptation

Song, S., Gao, N., Zhang, Y., & Ma, C. (2024) · Cybersecurity

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 45

Federated and Differentially Private Learning for Electronic Health Records

Pfohl, S. R., Dai, A. M., & Heller, K. (2019) · arXiv

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 45

Benchmarking PySyft federated learning framework on MIMIC-III dataset

Budrionis, A., Miara, M., Miara, P., Wilk, S., & Bellika, J. G. (2021) · IEEE Access

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 45

Harnessing TME depicted by histological images to improve cancer prognosis through a deep learning system

Gao, R., Yuan, X., Ma, Y., Wei, T., Johnston, L., Shao, Y., Lv, W., Zhu, T., Zhang, Y., Zheng, J., et al. (2024) · Cell Reports Medicine

AI in cancer detectionSingle-cell and spatial transcriptomics

Cited by 45

Talking with Conversational Agents in Collaborative Action

Porcheron, M., Fischer, J. E., McGregor, M., Brown, B., Luger, E., Candello, H., & O'Hara, K. (2017) · Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

Speech and dialogue systemsLanguage, Discourse, Communication Strategies

Cited by 45

Reward Design with Language Models

Kwon, M., Xie, S. M., Bullard, K., & Sadigh, D. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 45

DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding

Zhang, T., Wang, C., Hu, N., Qiu, M., Tang, C., He, X., & Huang, J. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingMultimodal Machine Learning Applications

Cited by 45

Actionable Auditing Revisited: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products

Raji, I. D., & Buolamwini, J. (2023) · Communications of the ACM

Ethics and Social Impacts of AIFace recognition and analysis

Cited by 45

CrowdVerge: Predicting If People Will Agree on the Answer to a Visual Question

Gurari, D., & Grauman, K. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Mobile Crowdsensing and CrowdsourcingExpert finding and Q&A systems

Cited by 45

Image Encryption and Analysis using Dynamic AES

Singh, A., Agarwal, P., & Chand, M. (2019) · 2019 5th International Conference on Optimization and Applications (ICOA)

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 45

Developers' code context models for change tasks

Fritz, T., Shepherd, D. C., Kevic, K., Snipes, W., & Bräunlich, C. (2014) · Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 45

Towards More General Video-based Deepfake Detection through Facial Component Guided Adaptation for Foundation Model

Han, Y.-H., Huang, T.-M., Hua, K.-L., & Chen, J.-C. (2024) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 45

Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm

Verdon, G., Marks, J., Nanda, S., Leichenauer, S., & Hidary, J. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 45

Fully Autonomous Programming with Large Language Models

Liventsev, V., Grishina, A., Härmä, A., & Moonen, L. (2023) · Proceedings of the Genetic and Evolutionary Computation Conference

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 45

Understanding software architecture erosion: A systematic mapping study

Li, R., Liang, P., Soliman, M., & Avgeriou, P. (2022) · Journal of Software: Evolution and Process

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 45

Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers

Huang, H., Chen, Y., Wang, Z., Huang, R., Xu, R., Wang, T., Liu, L., Cheng, X., Zhao, Y., Pang, J., et al. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning Applications3D Shape Modeling and Analysis

Cited by 45

Towards Baselines for Shoulder Surfing on Mobile Authentication

Aviv, A. J., Davin, J. T., Wolf, F., & Kuber, R. (2017) · Proceedings of the 33rd Annual Computer Security Applications Conference

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 45

Self-imposed filter bubbles: Selective attention and exposure in online search

Ekström, A. G., Niehorster, D. C., & Olsson, E. J. (2022) · Computers in Human Behavior Reports

Information Retrieval and Search BehaviorMisinformation and Its Impacts

Cited by 45