Check computer science papers: citations, claims and retractions

In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents

Tan, Z., Yan, J., Hsu, I.-H., Han, R., Wang, Z., Le, L. T., Song, Y., Chen, Y., Palangi, H., Lee, G., et al. (2025) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 54

Planning for Natural Language Failures with the AI Playbook

Hong, M. K., Fourney, A., DeBellis, D., & Amershi, S. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 54

Learn2Clean: Optimizing the Sequence of Tasks for Web Data Preparation

Berti-Equille, L. (2019) · The World Wide Web Conference

Data Quality and ManagementMachine Learning and Data Classification

Cited by 54

PhiNets: A Scalable Backbone for Low-power AI at the Edge

Paissan, F., Ancilotto, A., & Farella, E. (2022) · ACM Transactions on Embedded Computing Systems

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 54

Personalization of end-to-end speech recognition on mobile devices for named entities

Sim, K. C., Beaufays, F., Benard, A., Guliani, D., Kabel, A., Khare, N., Lucassen, T., Zadrazil, P., Zhang, H., Johnson, L., et al. (2019) · 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 54

An Empirical Study of Clinical Note Generation from Doctor-Patient Encounters

Ben Abacha, A., Yim, W.-W., Fan, Y., & Lin, T. (2023) · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Topic ModelingSpeech and dialogue systems

Cited by 54

Survey on QoE Assessment Approach for Network Service

Yang, M., Wang, S., Calheiros, R. N., & Yang, F. (2018) · IEEE Access

Image and Video Quality AssessmentNetwork Traffic and Congestion Control

Cited by 54

Robust quantum compilation and circuit optimisation via energy minimisation

Jones, T., & Benjamin, S. C. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 54

Study of Pre-Processing Defenses Against Adversarial Attacks on State-of-the-Art Speaker Recognition Systems

Joshi, S., Villalba, J., Zelasko, P., Moro-Velazquez, L., & Dehak, N. (2021) · IEEE Transactions on Information Forensics and Security

Adversarial Robustness in Machine LearningSpeech Recognition and Synthesis

Cited by 53

Toward the dynamic relationship between AI transparency and trust in AI: A case study on ChatGPT

Lee, C., & Cha, K. (2025) · International Journal of Human–Computer Interaction

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 53

Vi2CLR: Video and Image for Visual Contrastive Learning of Representation

Diba, A., Sharma, V., Safdari, R., Lotfi, D., Sarfraz, M. S., Stiefelhagen, R., & Van Gool, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningHuman Pose and Action Recognition

Cited by 53

Using cognitive psychology research to inform professional visual search operations

Biggs, A. T., Kramer, M. R., & Mitroff, S. R. (2018) · Journal of Applied Research in Memory and Cognition

Visual Attention and Saliency DetectionVisual perception and processing mechanisms

Cited by 53

DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering

Aflalo, A., Bagon, S., Kashti, T., & Eldar, Y. (2023) · 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 53

Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer

Cavallaro, G., Willsch, D., Willsch, M., Michielsen, K., & Riedel, M. (2020) · IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

Quantum Computing Algorithms and ArchitectureRemote-Sensing Image Classification

Cited by 53

When Life and Learning Do Not Fit: Challenges of Workload and Communication in Introductory Computer Science Online

Benda, K., Bruckman, A., & Guzdial, M. (2012) · ACM Transactions on Computing Education

Teaching and Learning ProgrammingOnline and Blended Learning

Cited by 53

Multi-Modal Sensor Fusion-Based Semantic Segmentation for Snow Driving Scenarios

Vachmanus, S., Ravankar, A. A., Emaru, T., & Kobayashi, Y. (2021) · IEEE Sensors Journal

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 53

An Overview of FPGA Based Deep Learning Accelerators: Challenges and Opportunities

Wang, T., Wang, C., Zhou, X., & Chen, H. (2019) · 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 53

Detecting and Grounding Multi-Modal Media Manipulation and Beyond

Shao, R., Wu, T., Wu, J., Nie, L., & Liu, Z. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 53

Inaccessibility and low maintenance of medical data archive in low-middle income countries: mystery behind public health statistics and measures.

Abdul-Rahman, T., Ghosh, S., Lukman, L., Bamigbade, G. B., Oladipo, O. V., Amarachi, O. R., Olanrewaju, O. F., Toluwalashe, S., Awuah, W. A., Aborode, A. T., et al. (2023) · Journal of Infection and Public Health

Research Data Management PracticesElectronic Health Records Systems

Cited by 53

Towards Regulatory-Compliant MLOps: Oravizio’s Journey from a Machine Learning Experiment to a Deployed Certified Medical Product

Granlund, T., Stirbu, V., & Mikkonen, T. (2021) · SN Computer Science

Software Engineering Techniques and PracticesSafety Systems Engineering in Autonomy

Cited by 53

Embodied Interaction and Spatial Skills: A Systematic Review of Empirical Studies

Lee-Cultura, S., & Giannakos, M. (2020) · Interacting with Computers

Interactive and Immersive DisplaysSpatial Cognition and Navigation

Cited by 53

Expression Recognition Method Based on a Lightweight Convolutional Neural Network

Zhao, G., Yang, H., & Yu, M. (2020) · IEEE Access

Emotion and Mood RecognitionFace recognition and analysis

Cited by 53

Federated Learning-based Driver Activity Recognition for Edge Devices

Doshi, K., & Yilmaz, Y. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Privacy-Preserving Technologies in DataHuman Pose and Action Recognition

Cited by 53

Importance and limitations of AI ethics in contemporary society

Hauer, T. (2022) · Humanities and Social Sciences Communications

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 53