Check computer science papers: citations, claims and retractions

Safe Reinforcement Learning via Probabilistic Logic Shields

Yang, W.-C., Marra, G., Rens, G., & De Raedt, L. (2023) · Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Reinforcement Learning in RoboticsFormal Methods in Verification

Cited by 34

Mm3dgs slam: Multi-modal 3d gaussian splatting for slam using vision, depth, and inertial measurements

Sun, L. C., Bhatt, N. P., Liu, J. C., Fan, Z., Wang, Z., Humphreys, T. E., & Topcu, U. (2024) · 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 34

Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree

Weerts, H., Xenidis, R., Tarissan, F., Olsen, H. P., & Pechenizkiy, M. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIDiscrimination and Equality Law

Cited by 34

Predicting Game Difficulty and Churn Without Players

Roohi, S., Relas, A., Takatalo, J., Heiskanen, H., & Hämäläinen, P. (2020) · Proceedings of the Annual Symposium on Computer-Human Interaction in Play

Artificial Intelligence in GamesDigital Games and Media

Cited by 34

A TinyDL Model for Gesture-Based Air Handwriting Arabic Numbers and Simple Arabic Letters Recognition

Lamaakal, I., Ouahbi, I., El Makkaoui, K., Maleh, Y., Pławiak, P., & Alblehai, F. (2024) · IEEE Access

Hand Gesture Recognition SystemsHandwritten Text Recognition Techniques

Cited by 34

Prediction Accuracy With Electronic Medical Records Versus Administrative Claims

Zeltzer, D., Balicer, R. D., Shir, T., Flaks-Manov, N., Einav, L., & Shadmi, E. (2019) · Medical Care

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 34

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

He, X., Lin, Z., Gong, Y., Jin, A.-L., Zhang, H., Lin, C., Jiao, J., Yiu, S. M., Duan, N., & Chen, W. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 34

A High-Level Description and Performance Evaluation of Pupil Invisible

Tonsen, M., Baumann, C. K., & Dierkes, K. (2020) · arXiv

Gaze Tracking and Assistive TechnologyVisual Attention and Saliency Detection

Cited by 34

Automatic Anonymization of Textual Documents: Detecting Sensitive Information via Word Embeddings

Hassan, F., Sanchez, D., Soria-Comas, J., & Domingo-Ferrer, J. (2019) · 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)

Privacy-Preserving Technologies in DataTopic Modeling

Cited by 34

POSIX: A Prompt Sensitivity Index For Large Language Models

Chatterjee, A., Renduchintala, H. S. V. N. S. K., Bhatia, S., & Chakraborty, T. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingNatural Language Processing Techniques

Cited by 34

Operationalizing machine learning models: a systematic literature review

Kolltveit, A. B., & Li, J. (2022) · Proceedings of the 1st Workshop on Software Engineering for Responsible AI

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 34

Image mining applications for underwater environment management-A review and research agenda

Nair, R. S., Agrawal, R., Domnic, S., & Kumar, A. (2021) · International Journal of Information Management Data Insights

Image Enhancement TechniquesUnderwater Vehicles and Communication Systems

Cited by 34

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction

Wang, Y., Tang, P., Zhou, Y., Shen, W., Fishman, E. K., & Yuille, A. L. (2021) · IEEE Transactions on Medical Imaging

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 34

Effectiveness of Virtual Versus Physical Training: The Case of Assembly Tasks, Trainer's Verbal Assistance, and Task Complexity

Koumaditis, K., Chinello, F., Mitkidis, P., & Karg, S. (2020) · IEEE Computer Graphics and Applications

Virtual Reality Applications and ImpactsSimulation and Modeling Applications

Cited by 34

Security evaluation of wireless network access points

Kalniņš, R., Puriņš, J., & Alksnis, G. (2017) · Applied Computer Systems

Wireless Networks and ProtocolsNetwork Security and Intrusion Detection

Cited by 34

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models

Kahng, M., Tenney, I., Pushkarna, M., Liu, M. X., Wexler, J., Reif, E., Kallarackal, K., Chang, M., Terry, M., & Dixon, L. (2024) · arXiv

Data Visualization and AnalyticsExplainable Artificial Intelligence (XAI)

Cited by 34

MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild

Chumachenko, K., Iosifidis, A., & Gabbouj, M. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 34

Automatic Cognitive Load Detection from Face, Physiology, Task Performance and Fusion During Affective Interference

Hussain, M. S., Calvo, R. A., & Chen, F. (2014) · Interacting with Computers

Emotion and Mood RecognitionHuman-Automation Interaction and Safety

Cited by 34

Anomaly Detection in Microservice-Based Systems

Nobre, J., Pires, E. J. S., & Reis, A. (2023) · Applied Sciences

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 34

Differentiable Scheduled Sampling for Credit Assignment

Goyal, K., Dyer, C., & Berg-Kirkpatrick, T. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 34

Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving

Qin, R., Li, Z., He, W., Cui, J., Tang, H., Ren, F., Ma, T., Cai, S., Zhang, Y., Zhang, M., et al. (2026) · ACM Transactions on Storage

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 34

Time to Get Personal: Individualised Virtual Reality for Mental Health

Baghaei, N., Stemmet, L., Hlasnik, A., Emanov, K., Hach, S., Naslund, J. A., Billinghurst, M., Khaliq, I., & Liang, H.-N. (2020) · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 34

On the Legal Compatibility of Fairness Definitions

Xiang, A., & Raji, I. D. (2019) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 34

The Ethical Limits of Blockchain-Enabled Markets for Private IoT Data

Ishmaev, G. (2020) · Philosophy & Technology

Blockchain Technology Applications and SecurityDigitalization, Law, and Regulation

Cited by 34