Check computer science papers: citations, claims and retractions

A comparison of GMM-HMM and DNN-HMM based pronunciation verification techniques for use in the assessment of childhood apraxia of speech

Shahin, M., Ahmed, B., McKechnie, J., Ballard, K., & Gutierrez-Osuna, R. (2014) · Interspeech 2014

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 34

The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization

Kleinberg, J., Mullainathan, S., & Raghavan, M. (2023) · Management Science

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 34

Learning Representations for Incomplete Time Series Clustering

Ma, Q., Chen, C., Li, S., & Cottrell, G. W. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingAdvanced Clustering Algorithms Research

Cited by 34

Abstractive Timeline Summarization

Steen, J., & Markert, K. (2019) · Proceedings of the 2nd Workshop on New Frontiers in Summarization

Advanced Text Analysis TechniquesTopic Modeling

Cited by 34

Super learner ensemble for anomaly detection and cyber-risk quantification in industrial control systems

Ahmadi-Assalemi, G., Al-Khateeb, H., Epiphaniou, G., & Aggoun, A. (2022) · IEEE Internet of Things Journal

Anomaly Detection Techniques and ApplicationsNetwork Security and Intrusion Detection

Cited by 34

LongNet: Scaling Transformers to 1, 000, 000, 000 Tokens

Ding, J., Ma, S., Dong, L., Zhang, X., Huang, S., Wang, W., Zheng, N., & Wei, F. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 34

Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents

Huang, Z., Gutierrez, S., Kamana, H., & Macneil, S. (2023) · Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

Speech and dialogue systemsInnovative Human-Technology Interaction

Cited by 34

Cardiorespiratory fitness estimation in free-living using wearable sensors

Altini, M., Casale, P., Penders, J., & Amft, O. (2016) · Artificial Intelligence in Medicine

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 34

Identifying Mislabeled Instances in Classification Datasets

Muller, N. M., & Markert, K. (2019) · 2019 International Joint Conference on Neural Networks (IJCNN)

Machine Learning and Data ClassificationAdversarial Robustness in Machine Learning

Cited by 34

Designing a virtual patient dialogue system based on terminology-rich resources: Challenges and evaluation

Campillos-Llanos, L., Thomas, C., Bilinski, É., Zweigenbaum, P., & Rosset, S. (2020) · Natural Language Engineering

Speech and dialogue systemsBiomedical Text Mining and Ontologies

Cited by 34

CSR: A Cloud-Assisted Speech Recognition Service for Personal Mobile Device

Chang, Y.-S., Hung, S.-H., Wang, N. J. C., & Lin, B.-S. (2011) · 2011 International Conference on Parallel Processing

Speech Recognition and SynthesisCloud Computing and Resource Management

Cited by 34

FORESEEN: Towards Differentially Private Deep Inference for Intelligent Internet of Things

Lyu, L., Bezdek, J. C., Jin, J., & Yang, Y. (2020) · IEEE Journal on Selected Areas in Communications

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 34

Predicting Clinical Outcomes Across Changing Electronic Health Record Systems

Gong, J. J., Naumann, T., Szolovits, P., & Guttag, J. V. (2017) · Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 34

Explainable Artificial Intelligence in Data Science: From Foundational Issues Towards Socio-technical Considerations

Borrego-Díaz, J., & Galán-Páez, J. (2022) · Minds and Machines

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 34

Body expression recognition from animated 3D skeleton

Crenn, A., Khan, R. A., Meyer, A., & Bouakaz, S. (2016) · 2016 International Conference on 3D Imaging (IC3D)

Human Pose and Action RecognitionHuman Motion and Animation

Cited by 34

Generative Recommendation: Towards Next-generation Recommender Paradigm

Wang, W., Lin, X., Feng, F., He, X., & Chua, T.-S. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 34

The SIETTE Automatic Assessment Environment

Conejo, R., Guzmán, E., & Trella, M. (2016) · International Journal of Artificial Intelligence in Education

Intelligent Tutoring Systems and Adaptive LearningEducational Technology and Assessment

Cited by 34

Demystifying clip data

Xu, H., Xie, S., Tan, X. E., Huang, P.-Y., Howes, R., Sharma, V., Li, S.-W., Ghosh, G., Zettlemoyer, L., & Feichtenhofer, C. (2023) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 34

Deepfake audio detection with vision transformer based method

Ulutas, G., Tahaoglu, G., & Ustubioglu, B. (2023) · 2023 46th International Conference on Telecommunications and Signal Processing (TSP)

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 34

Secure Communication and Data Processing Challenges in the Industrial Internet

Gurtov, A., Liyanage, M., & Korzun, D. (2016) · Baltic Journal of Modern Computing

Software-Defined Networks and 5GIoT and Edge/Fog Computing

Cited by 34

Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement

Xu, W., Zhu, G., Zhao, X., Pan, L., Li, L., & Wang, W. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 34

Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization

Gur, S., Ali, A., & Wolf, L. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 34

Human Activity Recognition Using Deep Learning Networks with Enhanced Channel State Information

Shi, Z., Zhang, J. A., Xu, R., & Fang, G. (2018) · 2018 IEEE Globecom Workshops (GC Wkshps)

Context-Aware Activity Recognition SystemsIndoor and Outdoor Localization Technologies

Cited by 34

A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Yu, M., Meng, F., Zhou, X., Wang, S., Mao, J., Pan, L., Chen, T., Wang, K., Li, X., Zhang, Y., et al. (2025) · Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

Access Control and TrustAdversarial Robustness in Machine Learning

Cited by 34