Check computer science papers: citations, claims and retractions

Integrated Imaging Mission Planning Modeling Method for Multi-Type Targets for Super-Agile Earth Observation Satellite

Lu, Z., Shen, X., Li, D., & Chen, Y. (2022) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Satellite Image Processing and PhotogrammetrySatellite Communication Systems

Cited by 29

Informative presence bias in analyses of electronic health records-derived data: a cautionary note

Harton, J., Mitra, N., & Hubbard, R. A. (2022) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareStatistical Methods in Epidemiology

Cited by 29

Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning

Li, H., Li, C., Xing, W., Baral, S., & Heffernan, N. (2024) · Proceedings of the 14th Learning Analytics and Knowledge Conference

Intelligent Tutoring Systems and Adaptive LearningEducational Technology and Assessment

Cited by 29

A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering

Naseem, T., Ravishankar, S., Mihindukulasooriya, N., Abdelaziz, I., Lee, Y.-S., Kapanipathi, P., Roukos, S., Gliozzo, A., & Gray, A. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 29

ICA-CNN: Gesture Recognition Using CNN With Improved Channel Attention Mechanism and Multimodal Signals

Shen, S., Wang, X., Wu, M., Gu, K., Chen, X., & Geng, X. (2023) · IEEE Sensors Journal

Hand Gesture Recognition SystemsMuscle activation and electromyography studies

Cited by 29

Can We Leave Deepfake Data Behind in Training Deepfake Detector?

Cheng, J., Yan, Z., Zhang, Y., Luo, Y., Wang, Z., & Li, C. (2024) · Advances in Neural Information Processing Systems 37

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 29

Robust Control Barrier Functions for Nonlinear Control Systems with Uncertainty: A Duality-based Approach

Cohen, M. H., Belta, C., & Tron, R. (2022) · 2022 IEEE 61st Conference on Decision and Control (CDC)

Formal Methods in VerificationAdvanced Control Systems Optimization

Cited by 29

The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): An international, multicenter analysis

Pfob, A., Sidey-Gibbons, C., Barr, R. G., Duda, V., Alwafai, Z., Balleyguier, C., Clevert, D.-A., Fastner, S., Gomez, C., Goncalo, M., et al. (2022) · European Radiology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 29

Object Scene Representation Transformer

Sajjadi, M. S. M., Duckworth, D., Mahendran, A., van Steenkiste, S., Pavetić, F., Lučić, M., Guibas, L. J., Greff, K., & Kipf, T. (2022) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 29

An Adaptive Supervision Framework for Active Learning in Object Detection

Desai, S. V., Chandra, A. L., Guo, W., Ninomiya, S., & Balasubramanian, V. N. (2019) · arXiv

Machine Learning and AlgorithmsAdvanced Neural Network Applications

Cited by 29

What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning

Pan, J., Gao, T., Chen, H., & Chen, D. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 29

Parallel Implementation on FPGA of Support Vector Machines Using Stochastic Gradient Descent

Lopes, F. F., Ferreira, J. C., & Fernandes, M. A. C. (2019) · Electronics

Embedded Systems Design TechniquesEmbedded Systems and FPGA Applications

Cited by 29

How well do Large Language Models perform in Arithmetic tasks?

Yuan, Z., Yuan, H., Tan, C., Wang, W., & Huang, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 29

TraMiner: vision-based analysis of locomotion traces for cognitive assessment in smart-homes

Zolfaghari, S., Khodabandehloo, E., & Riboni, D. (2022) · Cognitive Computation

Context-Aware Activity Recognition SystemsDementia and Cognitive Impairment Research

Cited by 29

BioFusionNet: Deep learning-based survival risk stratification in ER+ breast cancer through multifeature and multimodal data fusion

Mondol, R. K., Millar, E. K. A., Sowmya, A., & Meijering, E. (2024) · IEEE Journal of Biomedical and Health Informatics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 29

FacGraph: Frequent Anomaly Correlation Graph Mining for Root Cause Diagnose in Micro-Service Architecture

Lin, W., Ma, M., Pan, D., & Wang, P. (2018) · 2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC)

Software System Performance and ReliabilityData Mining Algorithms and Applications

Cited by 29

Evaluation of a Hybrid of Hand Gesture and Controller Inputs in Virtual Reality

Huang, Y.-J., Liu, K.-Y., Lee, S.-S., & Yeh, I.-C. (2021) · International Journal of Human–Computer Interaction

Interactive and Immersive DisplaysHand Gesture Recognition Systems

Cited by 29

A Comparative Study: Deepfake Detection Using Deep-learning

Khatri, N., Borar, V., & Garg, R. (2023) · 2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 29

A Survey of DeepSeek Models

Neha, F., & Bhati, D. (2025) · International Conference on Soft Computing & Machine Intelligence (ISCMI)

Topic ModelingNatural Language Processing Techniques

Cited by 29

Mapping of Industrial IoT to IEC 62443 Standards

Cindrić, I., Jurčević, M., & Hadjina, T. (2025) · Sensors

Information and Cyber SecurityDigital Transformation in Industry

Cited by 29

Integrating metric and semantic maps for vision-only automated parking

Grimmett, H., Buerki, M., Paz, L., Pinies, P., Furgale, P., Posner, I., & Newman, P. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationAutonomous Vehicle Technology and Safety

Cited by 29

Mobile training and support (MOTS) service—using technology to increase Ebola preparedness of remotely-located community health workers (CHWs) in Sierra Leone

Mc Kenna, P., Babughirana, G., Amponsah, M., Egoeh, S. G., Banura, E., Kanwagi, R., & Gray, B. (2019) · mHealth

ICT in Developing CommunitiesMobile Health and mHealth Applications

Cited by 29

One-way quantum computation

Browne, D., & Briegel, H. (2016) · Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 29

Incorporating uncertainty into deep learning for spoken language assessment

Malinin, A., Ragni, A., Knill, K., & Gales, M. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Speech Recognition and SynthesisEFL/ESL Teaching and Learning

Cited by 29