Check computer science papers: citations, claims and retractions

CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning

Mirsky, Y., Mahler, T., Shelef, I., & Elovici, Y. (2019) · arXiv

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 168

Reasoning with Language Model is Planning with World Model

Hao, S., Gu, Y., Ma, H., Hong, J., Wang, Z., Wang, D., & Hu, Z. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

AI-based Problem Solving and PlanningTopic Modeling

Cited by 168

Conversational Agents: Goals, Technologies, Vision and Challenges

Allouch, M., Azaria, A., & Azoulay, R. (2021) · Sensors

Speech and dialogue systemsAI in Service Interactions

Cited by 168

The Foundations for Provenance on the Web

Moreau, L. (2010) · Foundations and Trends® in Web Science

Semantic Web and OntologiesScientific Computing and Data Management

Cited by 168

Harvesting Paragraph-level Question-Answer Pairs from Wikipedia

Du, X., & Cardie, C. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 168

Population validity for educational data mining models: A case study in affect detection

Ocumpaugh, J., Baker, R., Gowda, S., Heffernan, N., & Heffernan, C. (2014) · British Journal of Educational Technology

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 168

A Kinect-based system for cognitive rehabilitation exercises monitoring

González-Ortega, D., Díaz-Pernas, F. J., Martínez-Zarzuela, M., & Antón-Rodríguez, M. (2014) · Computer Methods and Programs in Biomedicine

Hand Gesture Recognition SystemsHuman Pose and Action Recognition

Cited by 167

Constrained Few-shot Class-incremental Learning

Hersche, M., Karunaratne, G., Cherubini, G., Benini, L., Sebastian, A., & Rahimi, A. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 167

Observing the observer (I): meta-bayesian models of learning and decision-making

Daunizeau, J., den Ouden, H. E. M., Pessiglione, M., Kiebel, S. J., Stephan, K. E., & Friston, K. J. (2010) · PLoS ONE

Bayesian Modeling and Causal InferenceDecision-Making and Behavioral Economics

Cited by 167

iBoW-LCD: An Appearance-Based Loop-Closure Detection Approach Using Incremental Bags of Binary Words

Garcia-Fidalgo, E., & Ortiz, A. (2018) · IEEE Robotics and Automation Letters

Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques

Cited by 167

Governance in Blockchain Technologies & Social Contract Theories

Reijers, W., O'Brolcháin, F., & Haynes, P. (2016) · Ledger

Blockchain Technology Applications and SecurityPolitical Philosophy and Ethics

Cited by 167

Determining an author's native language by mining a text for errors

Koppel, M., Schler, J., & Zigdon, K. (2005) · Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 167

NetLLM: adapting large language models for networking

Wu, D., Wang, X., Qiao, Y., Wang, Z., Jiang, J., Cui, S., & Wang, F. (2024) · Proceedings of the ACM SIGCOMM 2024 Conference

Software-Defined Networks and 5GDomain Adaptation and Few-Shot Learning

Cited by 167

Learning Model-Agnostic Counterfactual Explanations for Tabular Data

Pawelczyk, M., Broelemann, K., & Kasneci, G. (2020) · Proceedings of The Web Conference 2020

Explainable Artificial Intelligence (XAI)Privacy-Preserving Technologies in Data

Cited by 167

Human Activity Recognition Using Federated Learning

Sozinov, K., Vlassov, V., & Girdzijauskas, S. (2018) · 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom)

Privacy-Preserving Technologies in DataContext-Aware Activity Recognition Systems

Cited by 167

Deep learning library testing via effective model generation

Wang, Z., Yan, M., Chen, J., Liu, S., & Zhang, D. (2020) · Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 167

Global birdsong embeddings enable superior transfer learning for bioacoustic classification

Ghani, B., Denton, T., Kahl, S., & Klinck, H. (2023) · Scientific Reports

Music and Audio ProcessingAnimal Vocal Communication and Behavior

Cited by 167

TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion

Wu, J., Cao, M., Cheung, J. C. K., & Hamilton, W. L. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Advanced Graph Neural NetworksTopic Modeling

Cited by 167

Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models

Höllein, L., Cao, A., Owens, A., Johnson, J., & Nießner, M. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 167

ICESat validation of SRTM C‐band digital elevation models

Carabajal, C. C., & Harding, D. J. (2005) · Geophysical Research Letters

Satellite Image Processing and PhotogrammetryRemote Sensing and LiDAR Applications

Cited by 167

Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations

Shahriar, S., & Hayawi, K. (2023) · arXiv

Artificial Intelligence ApplicationsTopic Modeling

Cited by 167

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Ye, H., Zhang, J., Liu, S., Han, X., & Yang, W. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 167

Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data

Ravizza, S., Huschto, T., Adamov, A., Böhm, L., Büsser, A., Flöther, F. F., Hinzmann, R., König, H., McAhren, S. M., Robertson, D. H., et al. (2019) · Nature Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 167

Explainable artificial intelligence for cybersecurity: a literature survey

Charmet, F., Tanuwidjaja, H. C., Ayoubi, S., Gimenez, P.-F., Han, Y., Jmila, H., Blanc, G., Takahashi, T., & Zhang, Z. (2022) · Annals of Telecommunications

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 167