Papers matching “performance improvement” 881
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Automatic Modulation Recognition Method for Multiple Antenna System Based on Convolutional Neural Network2020 IEEE Vehicular Technology Conference conference-paper Computer Science Wireless Signal Modulation Classification
Juan Wang, Yu Wang, Wenmei Li, Guan Gui, Haris Gacanin, Fumiyuki Adachi
3citations -
Point-VOS: Pointing Up Video Object Segmentation2024 IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings conference-paper Computer Science Advanced Neural Network Applications
Sabarinath Mahadevan, Idil Esen Zulfikar, Paul Voigtlaender, Bastian Leibe
3citations -
Introducing Eye Movement Modeling Examples for Programming Education and the Role of Teacher's Didactic Guidance2020 ACM Symposium on Eye Tracking Research and Applications (ETRA) conference-paper Computer Science Teaching and Learning Programming Open access
Selina N. Emhardt, Halszka M. Jarodzka, Saskia Brand‐Gruwel, Christian Drumm, Tamara van Gog
3citations -
FPGA-accelerated Binary Neural Networks as a surrogate model for a viscoplastic constitutive law in impulsively loaded beams2025 Mechanics Research Communications article Computer Science Advanced Neural Network Applications Open access
Vasileios Polydoras, Saurabh Balkrishna Tandale, Rutwik Gulakala, Marcus Stoffel
3citations -
Utnetpara: A Hybrid CNN-Transformer Architecture with Multi-Scale Fusion for Whole-Slide Image Segmentation2024 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science AI in cancer detection
Boqiang Huang, Jiayu Ying, Ruizhi Lyu, Nadine S. Schaadt, Barbara M. Klinkhammer, Peter Boor, +3 more
3citations -
Learning to Prompt: Improving Student Engagement with Adaptive LLM-based High-School Tutoring2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) conference-paper Computer Science Intelligent Tutoring Systems and Adaptive Learning Open access
Po-Chin Chang, Nicholas Hogan, Aske Plaat, Michiel T. van der Meer
2citations -
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access
Bernd Frauenknecht, Artur Eisele, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe
2citations -
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings2024 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks
Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn M. Kampa, Michael T. Schaub
2citations