Check computer science papers: citations, claims and retractions

Enhancing MPEG DASH Performance via Server and Network Assistance

Thomas, E., van Deventer, M. O., Stockhammer, T., Begen, A. C., & Famaey, J. (2017) · SMPTE Motion Imaging Journal

Image and Video Quality AssessmentCaching and Content Delivery

Cited by 36

PlanGenLLMs: A Modern Survey of LLM Planning Capabilities

Wei, H., Zhang, Z., He, S., Xia, T., Pan, S., & Liu, F. (2025) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 36

An intrusion detection system for wireless process control systems

Roosta, T., Nilsson, D. K., Lindqvist, U., & Valdes, A. (2008) · 2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 36

Memory-augmented Dialogue Management for Task-oriented Dialogue Systems

Zhang, Z., Huang, M., Zhao, Z., Ji, F., Chen, H., & Zhu, X. (2018) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 36

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Jiang, H., Li, Y., Zhang, C., Wu, Q., Luo, X., Ahn, S., Han, Z., Abdi, A. H., Li, D., Lin, C.-Y., et al. (2024) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 36

Panoptic 3D Scene Reconstruction From a Single RGB Image

Dahnert, M., Hou, J., Nießner, M., & Dai, A. (2021) · arXiv

3D Shape Modeling and AnalysisAdvanced Vision and Imaging

Cited by 36

A qualitative exploration of student perspectives of chatbot use during emergency remote teaching

Kohnke, L. (2022) · International Journal of Mobile Learning and Organisation

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 36

Exploring the Role of Machine Learning in Diagnosing and Treating Speech Disorders: A Systematic Literature Review

Brahmi, Z., Mahyoob, M., Al-Sarem, M., Algaraady, J., Bousselmi, K., & Alblwi, A. (2024) · Psychology Research and Behavior Management

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 36

Relativistic quantum chemistry on quantum computers

Veis, L., Višňák, J., Fleig, T., Knecht, S., Saue, T., Visscher, L., & Pittner, J. (2012) · Physical Review A

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 36

Classification of Normal and Malicious Traffic Based on an Ensemble of Machine Learning for a Vehicle CAN-Network

Alalwany, E., & Mahgoub, I. (2022) · Sensors

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 36

Automated identification of patients with immune-related adverse events from clinical notes using word embedding and machine learning

Gupta, S., Belouali, A., Shah, N. J., Atkins, M. B., & Madhavan, S. (2021) · JCO Clinical Cancer Informatics

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 36

Critical Immersive-Triggered Literacy as a Key Component for Inclusive Digital Education

Lazou, C., & Tsinakos, A. (2023) · Education Sciences

Augmented Reality ApplicationsEducational Technology in Learning

Cited by 36

A Framework of Virtual War Room and Matrix Sketch-Based Streaming Anomaly Detection for Microservice Systems

Chen, H., Chen, P., & Yu, G. (2020) · IEEE Access

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 36

Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

Singh, A., Ehtesham, A., Kumar, S., Khoei, T. T., & Vasilakos, A. V. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 36

A Deep-Learning-Based Edge-Centric COVID-19-Like Pandemic Screening and Diagnosis System within a B5G Framework Using Blockchain

Muhammad, G., & Hossain, M. S. (2021) · IEEE Network

IoT and Edge/Fog ComputingCOVID-19 diagnosis using AI

Cited by 36

Speech synthesis systems: disadvantages and limitations

Kuligowska, K., Kisielewicz, P., & Włodarz, A. (2018) · International Journal of Engineering & Technology

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 36

Bayesian information fusion and multitarget tracking for maritime situational awareness

Gaglione, D., Soldi, G., Meyer, F., Hlawatsch, F., Braca, P., Farina, A., & Win, M. Z. (2020) · IET Radar, Sonar & Navigation

Target Tracking and Data Fusion in Sensor NetworksRadar Systems and Signal Processing

Cited by 36

Ethical and methodological challenges in building morally informed AI systems

Hagendorff, T., & Danks, D. (2023) · AI and Ethics

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 36

DNN is not all you need: Parallelizing Non-Neural ML Algorithms on Ultra-Low-Power IoT Processors

Tabanelli, E., Tagliavini, G., & Benini, L. (2021) · arXiv

Parallel Computing and Optimization TechniquesEmbedded Systems Design Techniques

Cited by 36

Generating dermatopathology reports from gigapixel whole slide images with HistoGPT

Tran, M., Schmidle, P., Guo, R. R., Wagner, S. J., Koch, V., Lupperger, V., Novotny, B., Murphree, D. H., Hardway, H. D., D’Amato, M., et al. (2025) · Nature Communications

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 36

Global temporal registration of multiple non-rigid surface sequences

Huang, P., Budd, C., & Hilton, A. (2011) · CVPR 2011

3D Shape Modeling and AnalysisHuman Motion and Animation

Cited by 36

Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models

Ning, M., Zhu, B., Xie, Y., Lin, B., Cui, J., Yuan, L., Chen, D., & Yuan, L. (2023) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 36

Toward AI-supported US Triage of Women with Palpable Breast Lumps in a Low-Resource Setting

Berg, W. A., López Aldrete, A.-L., Jairaj, A., Ledesma Parea, J. C., García, C. Y., McClennan, R. C., Cen, S. Y., Larsen, L. H., de Lara, M. T. S., & Love, S. (2023) · Radiology

AI in cancer detectionBreast Lesions and Carcinomas

Cited by 36

Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks

Jacovi, A., Caciularu, A., Goldman, O., & Goldberg, Y. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 36