Check computer science papers: citations, claims and retractions

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models

Bao, K., Zhang, J., Zhang, Y., Huo, X., Chen, C., & Feng, F. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 23

"What is the Topic of the Group, Please?" On Migration, Care and the Challenges of Participation in Design

Krüger, M., Weibert, A., de Castro Leal, D., Randall, D., & Wulf, V. (2021) · Proceedings of the ACM on Human-Computer Interaction

Innovative Human-Technology InteractionEducation and experiences of immigrants and refugees

Cited by 23

RuleSelector: Selecting Conditional Action Rules from User Behavior Patterns

Srinivasan, V., Koehler, C., & Jin, H. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsData Mining Algorithms and Applications

Cited by 23

A patch-based super resolution algorithm for improving image resolution in clinical mass spectrometry

Ščupáková, K., Terzopoulos, V., Jain, S., Smeets, D., & Heeren, R. M. A. (2019) · Scientific Reports

Advanced Image Processing TechniquesMass Spectrometry Techniques and Applications

Cited by 23

Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities

Kong, Z., Goel, A., Badlani, R., Ping, W., Valle, R., & Catanzaro, B. (2024) · arXiv

Multimodal Machine Learning ApplicationsSpeech Recognition and Synthesis

Cited by 23

A lightweight noise-tolerant encryption scheme for secure communication: An unmanned aerial vehicle application

Shafique, A., Mehmood, A., Elhadef, M., & khan, K. H. (2022) · PLOS ONE

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 23

Automatic Assessment of Aphasic Speech Sensed by Audio Sensors for Classification into Aphasia Severity Levels to Recommend Speech Therapies

Herath, H. M. D. P. M., Weraniyagoda, W. A. S. A., Rajapaksha, R. T. M., Wijesekara, P. A. D. S. N., Sudheera, K. L. K., & Chong, P. H. J. (2022) · Sensors

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 23

Asynchronous and Event-Based Fusion Systems for Affect Recognition on Naturalistic Data in Comparison to Conventional Approaches

Lingenfelser, F., Wagner, J., Deng, J., Brueckner, R., Schuller, B., & Andre, E. (2018) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 23

Physiological and self-reported arousal in virtual reality versus face-to-face emotional activation and cognitive restructuring in university students: A crossover experimental study using wearable monitoring

Bolinski, F., Etzelmüller, A., De Witte, N. A. J., van Beurden, C., Debard, G., Bonroy, B., Cuijpers, P., Riper, H., & Kleiboer, A. (2021) · Behaviour Research and Therapy

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 23

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Munkhdalai, T., Faruqui, M., & Gopal, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 23

Learning-Based Resource Management for Low-Power and Lossy IoT Networks

Musaddiq, A., Ali, R., Kim, S. W., & Kim, D.-S. (2022) · IEEE Internet of Things Journal

Energy Efficient Wireless Sensor NetworksIoT Networks and Protocols

Cited by 23

Measuring and Controlling Instruction (In)Stability in Language Model Dialogs

Li, K., Liu, T., Bashkansky, N., Bau, D., Viégas, F., Pfister, H., & Wattenberg, M. (2024) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 23

Approximate information state for partially observed systems

Subramanian, J., & Mahajan, A. (2019) · 2019 IEEE 58th Conference on Decision and Control (CDC)

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 23

Unveiling Privacy Risks in LLM Agent Memory

Wang, B., He, W., Zeng, S., Xiang, Z., Xing, Y., Tang, J., & He, P. (2025) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 23

Pancreatic Adenocarcinoma: Imaging Modalities and the Role of Artificial Intelligence

Anghel, C., Mugur, G. C., Anghel, D. A., Rusu-Munteanu, G. I., Dumitru, R. L., & Lupescu, I. G. (2024) · Diagnostics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 23

Improving Social Responsibility of Artificial Intelligence by Using ISO 26000

Zhao, W.-W. (2018) · IOP Conference Series: Materials Science and Engineering

Ethics and Social Impacts of AICorporate Social Responsibility and Sustainability

Cited by 23

Implementation of YOLOv4 Algorithm for Multiple Object Detection in Image and Video Dataset using Deep Learning and Artificial Intelligence for Urban Traffic Video Surveillance Application

Naik, U. P., Rajesh, V., R, R. K., & Mohana (2021) · 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 23

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming

Mozannar, H., Bansal, G., Fourney, A., & Horvitz, E. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 23

Missing the Forest for the Trees: End-to-End AI Application Performance in Edge Data Centers

Richins, D., Doshi, D., Blackmore, M., Thulaseedharan Nair, A., Pathapati, N., Patel, A., Daguman, B., Dobrijalowski, D., Illikkal, R., Long, K., et al. (2020) · 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA)

Cloud Computing and Resource ManagementIoT and Edge/Fog Computing

Cited by 23

Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression

Wang, Y., Beck, D., Baldwin, T., & Verspoor, K. (2022) · Transactions of the Association for Computational Linguistics

Machine Learning and AlgorithmsTopic Modeling

Cited by 23

Trade-off between Robustness and Accuracy of Vision Transformers

Li, Y., & Xu, C. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 23

Generation Probabilities Are Not Enough: Uncertainty Highlighting in AI Code Completions

Vasconcelos, H., Bansal, G., Fourney, A., Liao, Q. V., & Vaughan, J. W. (2023) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 23

Evaluation of Visual and Auditory Feedback in Virtual Obstacle Walking

Wellner, M., Schaufelberger, A., Zitzewitz, J. V., & Riener, R. (2008) · Presence: Teleoperators and Virtual Environments

Virtual Reality Applications and ImpactsTeleoperation and Haptic Systems

Cited by 23

A model for blockchain-based distributed electronic health records

Quaini, T., Roehrs, A., da Costa, C. A., & da Rosa Righi, R. (2018) · IADIS INTERNATIONAL JOURNAL ON WWW/INTERNET

Blockchain Technology Applications and SecurityElectronic Health Records Systems

Cited by 23