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Publication search results
found 260 matches
- 2024
- Shigeo Abe:
Evaluating Support Vector Machines with Multiple Kernels by Random Search. ANNPR 2024: 61-72 - Nourin Ahmed, Ziad Kobti:
Machine Learning for Clinical Score Prediction from Longitudinal Dataset: A Case Study on Parkinson's Disease. ANNPR 2024: 144-155 - Peter Bolt, Volker Ziebart, Christian Jaeger, Nicolas Schmid, Thilo Stadelmann, Rudolf M. Füchslin:
A Simulation Study on Energy Optimization in Building Control with Reinforcement Learning. ANNPR 2024: 320-331 - Davide Borra, Matteo Fraternali, Mirco Ravanelli, Elisa Magosso:
Multi-modal Decoding of Reach-to-Grasping from EEG and EMG via Neural Networks. ANNPR 2024: 168-179 - Davide Borra, Mirco Ravanelli:
Explaining Network Decision Provides Insights on the Causal Interaction Between Brain Regions in a Motor Imagery Task. ANNPR 2024: 156-167 - Michele Casoni, Tommaso Guidi, Matteo Tiezzi, Alessandro Betti, Marco Gori, Stefano Melacci:
Pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data. ANNPR 2024: 37-48 - Guang Yi Chen, Adam Krzyzak, Ventzeslav Valev:
Palmprint Classification via Filter Faces and Feature Extraction. ANNPR 2024: 208-217 - Mohamed Debbagh, Yixue Liu, Zhouzhou Zheng, Xintong Jiang, Shangpeng Sun, Mark Lefsrud:
Generative Plant Growth Simulation from Sequence-Informed Environmental Conditions. ANNPR 2024: 308-319 - Yanlin Deng, Jingwen Ling, Xiaqing Rao, Jun Tan, Xiaoyong Fu, Sheng Li:
An Improved Pix2Pix GAN for Medical Image Generation. ANNPR 2024: 99-110 - Kalvin Dobler, Kaspar Riesen:
Learning Graph Matching with Graph Neural Networks. ANNPR 2024: 3-12 - Ahmed Yasser Eita, Hafsa Ennajari, Akinlolu Oluwabusayo Ojo, Nizar Bouguila:
VAeViT: Fusing Multi-views for Complete 3D Object Recognition. ANNPR 2024: 183-194 - Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen:
Leveraging LSTM Embeddings for River Water Temperature Modeling. ANNPR 2024: 283-294 - Shubham Gupta, Isaac Neri Gomez-Sarmiento, Faez Amjed Mezdari, Mirco Ravanelli, Cem Subakan:
Dynamic HumTrans: Humming Transcription Using CNNs and Dynamic Programming. ANNPR 2024: 269-280 - Farnaz Haghshenas, Adam Krzyzak, Stanislaw Osowski:
Comparative Study of Deep Learning Models in Melanoma Detection. ANNPR 2024: 121-131 - Akash Halder, Sugata Laha, Saptarshi Bandyopadhyay, Friedhelm Schwenker, Ram Sarkar:
A Metaheuristic Optimization Based Deep Feature Selection for Oral Cancer Classification. ANNPR 2024: 132-143 - Zhiyuan Liu, Beining Zhang, Yangping Wu, Zhidong Zhang, Junjie Chen, Hongjun Li:
Research on the Identification of Common Economic Shellfish in Jiangsu Based on Fused-ResNet Network. ANNPR 2024: 295-307 - Duccio Meconcelli, Edmondo Trentin:
Gaussian-Mixture Neural Networks. ANNPR 2024: 13-24 - Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos. ANNPR 2024: 195-207 - Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Deep Multiresolution Wavelet Transform for Speech Emotion Assessment of High-Risk Suicide Callers. ANNPR 2024: 256-268 - Nivedha Ramesh, Tabish Ashfaq, Nawwaf N. Kharma:
A Hybrid Neuroevolutionary Approach to the Design of Convolutional Neural Networks for 2D and 3D Medical Image Segmentation. ANNPR 2024: 87-98 - Oussama Sghaier, Manar Amayri, Nizar Bouguila:
Robust Clustering with McDonald's Beta-Liouville Mixture Models for Proportional Data. ANNPR 2024: 49-60 - Marzieh Adeli Shamsabad, Ching Yee Suen:
Deep Multi-label Classification of Personality with Handwriting Analysis. ANNPR 2024: 218-230 - Natasha Sharma, Sona Balogova, Lucia Noskovicova, Françoise Montravers, Jean-Noël Talbot, Edmondo Trentin:
Automatic Interpretation of 18F-Fluorocholine PET/CT Findings in Patients with Primary Hyperparathyroidism: A Novel Dataset with Benchmarks. ANNPR 2024: 75-86 - Karima Ben Suliman, Adam Krzyzak:
Vision Transformer Features-Based Leukemia Classification. ANNPR 2024: 111-120 - Narjes Tahaei, Sabine Bergler:
Experiments in Modeling Disagreement. ANNPR 2024: 245-255 - Hannes Thurnherr, Kaspar Riesen:
Neural Decompiling of Tracr Transformers. ANNPR 2024: 25-36 - Zahra Ebrahimi Vargoorani, Ching Yee Suen:
License Plate Detection and Character Recognition Using Deep Learning and Font Evaluation. ANNPR 2024: 231-242 - Ching Yee Suen, Adam Krzyzak, Mirco Ravanelli, Edmondo Trentin, Cem Subakan, Nicola Nobile:
Artificial Neural Networks in Pattern Recognition - 11th IAPR TC3 Workshop, ANNPR 2024, Montreal, QC, Canada, October 10-12, 2024, Proceedings. Lecture Notes in Computer Science 15154, Springer 2024, ISBN 978-3-031-71601-0 [contents] - 2023
- Neamat El Gayar, Edmondo Trentin, Mirco Ravanelli, Hazem Abbas:
Artificial Neural Networks in Pattern Recognition - 10th IAPR TC3 Workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022, Proceedings. Lecture Notes in Computer Science 13739, Springer 2023, ISBN 978-3-031-20649-8 [contents] - 2022
- Shigeo Abe:
Do Minimal Complexity Least Squares Support Vector Machines Work? ANNPR 2022: 53-64
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