Papers matching “deep neural network training” 228
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TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation2022 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, +1 more
6citations -
A Hybrid CNN-LSTM Model for Handwritten Text Recognition with Comparative Analysis of Similarity Algorithms for Automated Answer Scoring2026 Ingénierie des systèmes d information article Computer Science Handwritten Text Recognition Techniques Open access
Jayashree Bagade, Sagar Rajebhosale, Manisha Dhage, Chetas Hedaoo, Kavita Sultanpure, Shaunak Godbole
0citations -
Autoencoders for Signal Enhancement in Communication Systems2024 International Conference on Military Communication and Information Systems (ICMCIS) conference-paper Computer Science Wireless Signal Modulation Classification
Vitor Duque, Jan Lewandowsky, Marc Adrat, Till Hardenbicker, Peter Jax
1citations -
MedicalPatchNet: a patch-based self-explainable AI architecture for chest X-ray classification2026 Scientific Reports article Computer Science Explainable Artificial Intelligence (XAI) Open access
Patrick Wienholt, Christiane Katharina Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
3citations -
DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging2021 IEEE Access article Computer Science Explainable Artificial Intelligence (XAI) Open access cited by 2 patents
Md. Rezaul Karim, Jiao Jiao, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz‐Schuhmann, +1 more
62citations -
Hybrid quantum ResNet for car classification and its hyperparameter optimization2023 Quantum Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access
Asel Sagingalieva, Mohammad Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Romanovich Perelshtein, +2 more
42citations -
Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Joe Harrison, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
8citations -
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data2023 Artificial Intelligence in Medicine article Computer Science AI in cancer detection Open access
Silviu Tudor Marc, Xiaohong W. Gao, Heba Sailem, Judith Offman, Emmanouíl Karteris, Angeles Montero Fernandez, +6 more
8citations -
MO062: Pan-Disease Segmentation and Feature Extraction for Large-Scale Digital Nephropathology2022 Nephrology Dialysis Transplantation conference-abstract Computer Science AI in cancer detection
David Laurin Hölscher, Nassim Bouteldja, Yu-Chia Lan, Saskia Freifrau von Stillfried, Roman David Bülow, Peter Boor
1citations