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ORCID11th ANNPR 2024: Montreal, QC, Canada
- 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
Learning Algorithms and Architectures
- Kalvin Dobler
, Kaspar Riesen:
Learning Graph Matching with Graph Neural Networks. 3-12 - Duccio Meconcelli, Edmondo Trentin:
Gaussian-Mixture Neural Networks. 13-24 - Hannes Thurnherr, Kaspar Riesen:
Neural Decompiling of Tracr Transformers. 25-36 - Michele Casoni, Tommaso Guidi, Matteo Tiezzi, Alessandro Betti, Marco Gori, Stefano Melacci:
Pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data. 37-48 - Oussama Sghaier, Manar Amayri, Nizar Bouguila:
Robust Clustering with McDonald's Beta-Liouville Mixture Models for Proportional Data. 49-60 - Shigeo Abe:
Evaluating Support Vector Machines with Multiple Kernels by Random Search. 61-72
Applications in Medical and Health Sciences
- 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. 75-86 - 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. 87-98 - Yanlin Deng, Jingwen Ling, Xiaqing Rao, Jun Tan, Xiaoyong Fu, Sheng Li:
An Improved Pix2Pix GAN for Medical Image Generation. 99-110 - Karima Ben Suliman, Adam Krzyzak:
Vision Transformer Features-Based Leukemia Classification. 111-120 - Farnaz Haghshenas, Adam Krzyzak, Stanislaw Osowski:
Comparative Study of Deep Learning Models in Melanoma Detection. 121-131 - Akash Halder, Sugata Laha, Saptarshi Bandyopadhyay, Friedhelm Schwenker, Ram Sarkar:
A Metaheuristic Optimization Based Deep Feature Selection for Oral Cancer Classification. 132-143 - Nourin Ahmed, Ziad Kobti:
Machine Learning for Clinical Score Prediction from Longitudinal Dataset: A Case Study on Parkinson's Disease. 144-155 - Davide Borra, Mirco Ravanelli:
Explaining Network Decision Provides Insights on the Causal Interaction Between Brain Regions in a Motor Imagery Task. 156-167 - Davide Borra, Matteo Fraternali, Mirco Ravanelli, Elisa Magosso:
Multi-modal Decoding of Reach-to-Grasping from EEG and EMG via Neural Networks. 168-179
Applications in Computer Vision
- Ahmed Yasser Eita, Hafsa Ennajari, Akinlolu Oluwabusayo Ojo, Nizar Bouguila:
VAeViT: Fusing Multi-views for Complete 3D Object Recognition. 183-194 - Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos. 195-207 - Guang Yi Chen, Adam Krzyzak, Ventzeslav Valev:
Palmprint Classification via Filter Faces and Feature Extraction. 208-217 - Marzieh Adeli Shamsabad, Ching Yee Suen:
Deep Multi-label Classification of Personality with Handwriting Analysis. 218-230 - Zahra Ebrahimi Vargoorani, Ching Yee Suen:
License Plate Detection and Character Recognition Using Deep Learning and Font Evaluation. 231-242
Applications in NLP, Speech, and Music
- Narjes Tahaei, Sabine Bergler:
Experiments in Modeling Disagreement. 245-255 - Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Deep Multiresolution Wavelet Transform for Speech Emotion Assessment of High-Risk Suicide Callers. 256-268 - Shubham Gupta, Isaac Neri Gomez-Sarmiento, Faez Amjed Mezdari, Mirco Ravanelli, Cem Subakan:
Dynamic HumTrans: Humming Transcription Using CNNs and Dynamic Programming. 269-280
Applications in Environmental and Biological Sciences
- Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen:
Leveraging LSTM Embeddings for River Water Temperature Modeling. 283-294 - 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. 295-307 - Mohamed Debbagh, Yixue Liu, Zhouzhou Zheng, Xintong Jiang, Shangpeng Sun, Mark Lefsrud:
Generative Plant Growth Simulation from Sequence-Informed Environmental Conditions. 308-319 - 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. 320-331
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