Check computer science papers: citations, claims and retractions

A theoretical framework for deep transfer learning

Galanti, T., Wolf, L., & Hazan, T. (2016) · Information and Inference

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 29

Mobile Personalized Recommendation Model based on Privacy Concerns and Context Analysis for the Sustainable Development of M-commerce

Xiao, L., Lu, Q., & Guo, F. (2020) · Sustainability

Recommender Systems and TechniquesPrivacy, Security, and Data Protection

Cited by 29

Evidence-centered Assessment for Writing with Generative AI

Cheng, Y., Lyons, K., Chen, G., Gašević, D., & Swiecki, Z. (2024) · Proceedings of the 14th Learning Analytics and Knowledge Conference

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 29

Erratum to: Making sense of big data in health research: towards an EU action plan

Auffray, C., Balling, R., Barroso, I., Bencze, L., Benson, M., Bergeron, J., Bernal-Delgado, E., Blomberg, N., Bock, C., Conesa, A., et al. (2016) · Genome Medicine

Research Data Management PracticesBig Data Technologies and Applications

Cited by 29

The Chosen One: Consistent Characters in Text-to-Image Diffusion Models

Avrahami, O., Hertz, A., Vinker, Y., Arar, M., Fruchter, S., Fried, O., Cohen-Or, D., & Lischinski, D. (2024) · Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 29

Learning to Recognize Human Activities Using Soft Labels

Hu, N., Englebienne, G., Lou, Z., & Krose, B. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 29

MV-TON: Memory-based Video Virtual Try-on network

Zhong, X., Wu, Z., Tan, T., Lin, G., & Wu, Q. (2021) · Proceedings of the 29th ACM International Conference on Multimedia

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 29

A pyramid architecture-based deep learning framework for breast cancer detection

Sui, D., Liu, W., Chen, J., Zhao, C., Ma, X., Guo, M., & Tian, Z. (2021) · BioMed Research International

AI in cancer detectionDigital Imaging for Blood Diseases

Cited by 29

Utilizing Evolutionary Computation Methods for the Design of S-Boxes

Laskari, E., Meletiou, G., & Vrahatis, M. (2006) · 2006 International Conference on Computational Intelligence and Security

Cryptographic Implementations and SecurityMetaheuristic Optimization Algorithms Research

Cited by 29

Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition

Cheng, C., Zhang, Y., Liu, L., Liu, W., & Feng, L. (2023) · IEEE Journal of Biomedical and Health Informatics

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 29

Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning

Trivedi, H., Balasubramanian, N., Khot, T., & Sabharwal, A. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingMultimodal Machine Learning Applications

Cited by 29

Turnover-induced knowledge loss in practice

Robillard, M. P. (2021) · Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 29

Performance Comparison of User Interface Devices for Controlling Mining Software in Virtual Reality Environments

Kim, H., & Choi, Y. (2019) · Applied Sciences

Interactive and Immersive DisplaysVirtual Reality Applications and Impacts

Cited by 29

Cross-Layer Security for 5G/6G Network Slices: An SDN, NFV, and AI-Based Hybrid Framework

Allaw, Z., Zein, O., & Ahmad, A.-M. (2025) · Sensors

Software-Defined Networks and 5GNetwork Security and Intrusion Detection

Cited by 29

AQD: Towards Accurate Quantized Object Detection

Chen, P., Liu, J., Zhuang, B., Tan, M., & Shen, C. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 29

Group based Personalized Search by Integrating Search Behaviour and Friend Network

Zhou, Y., Dou, Z., Wei, B., Xie, R., & Wen, J.-R. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 29

Classification and Segmentation in Satellite Imagery Using Back Propagation Algorithm of ANN and K-Means Algorithm

Sathya, P., & Malathi, L. (2011) · International Journal of Machine Learning and Computing

Remote-Sensing Image ClassificationRemote Sensing and Land Use

Cited by 29

Financial modeling on the cell broadband engine

Agarwal, V., Liu, L.-K., & Bader, D. A. (2008) · 2008 IEEE International Symposium on Parallel and Distributed Processing

Parallel Computing and Optimization TechniquesStochastic processes and financial applications

Cited by 29

Evaluating Mobile Applications: A Spreadsheet Case Study

Flood, D., Harrison, R., Iacob, C., & Duce, D. (2012) · International Journal of Mobile Human Computer Interaction

Usability and User Interface DesignMobile and Web Applications

Cited by 29

Understanding data use and preference of data visualization for public health professionals: a qualitative study

Park, S., Bekemeier, B., & Flaxman, A. D. (2021) · Public Health Nursing

Data Visualization and AnalyticsPublic Health Policies and Education

Cited by 29

Learning Super-Features for Image Retrieval

Weinzaepfel, P., Lucas, T., Larlus, D., & Kalantidis, Y. (2022) · arXiv

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 29

A machine learning framework for interpretable predictions in patient pathways: the case of predicting ICU admission for patients with symptoms of sepsis

Zilker, S., Weinzierl, S., Kraus, M., Zschech, P., & Matzner, M. (2024) · Health Care Management Science

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 29

FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Chern, I.-C., Chern, S., Chen, S., Yuan, W., Feng, K., Zhou, C., He, J., Neubig, G., & Liu, P. (2023) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 29

Benchmarking Quantum Processor Performance at Scale

McKay, D. C., Hincks, I., Pritchett, E. J., Carroll, M., Govia, L. C. G., & Merkel, S. T. (2023) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 29