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ORCID32nd ICANN 2023: Heraklion, Crete - Part I
- Lazaros Iliadis
, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14254, Springer 2023, ISBN 978-3-031-44206-3 - Lingyan Xue, Xinyu Zhang, Weidong Jiang, Kai Huo, Qinmu Shen:
A Classification Performance Evaluation Measure Considering Data Separability. 1-13 - Yuzhuo Qin, Hengwei Liu, Xiaodong Gu:
A Cross-Modal View to Utilize Label Semantics for Enhancing Student Network in Multi-label Classification. 14-25 - Ao Shan, Yeh-Ching Chung:
A Hybrid Model Based on Samples Difficulty for Imbalanced Data Classification. 26-37 - Xinyu Gu, Xiaoxu Zhang, Hongbin Fang, Wenyu Wu, Jinran Lin, Kai Yang:
A New Dataset for Hair Follicle Recognition and Classification in Robot-Aided Hair Transplantation. 38-49 - Alexander Cao, Jean Utke, Diego Klabjan:
A Policy for Early Sequence Classification. 50-61 - Charithea Stylianides, Kleanthis Malialis, Panayiotis Kolios:
A Study of Data-Driven Methods for Adaptive Forecasting of COVID-19 Cases. 62-74 - Junqi Guo, Aohua Song, Ludi Bai, Ziyun Zhao, Siyu Zheng:
An Ensemble Scheme Based on the Optimization of TOPSIS and AdaBoost for In-Class Teaching Quality Evaluation. 75-86 - Andreea Postovan, Madalina Erascu:
Architecturing Binarized Neural Networks for Traffic Sign Recognition. 87-98 - Feihong He, Fanzhang Li:
Boosting Few-Shot Classification with Lie Group Contrastive Learning. 99-111 - Jiarong He, Wei Wu, Yuxing Li:
Context Enhancement Methodology for Action Recognition in Still Images. 112-122 - Karlis Freivalds, Emils Ozolins, Guntis Barzdins:
Discrete Denoising Diffusion Approach to Integer Factorization. 123-134 - Chao Cheng, Bin Fang, Jing Yang:
Distinguishing the Correctness of Knowledge Makes Knowledge Transfer Better. 135-146 - Guangtong Lu, Fanzhang Li:
Diversified Contrastive Learning For Few-Shot Classification. 147-158 - Yige Wang, Yucheng Huang, Tieliang Gong, Chen Li:
Enhancing Cross-Lingual Few-Shot Named Entity Recognition by Prompt-Guiding. 159-170 - Minghua He, Nanfei Gu, Yuntao Shi, Qionghui Zhang, Yaying Chen:
FAIR: A Causal Framework for Accurately Inferring Judgments Reversals. 171-182 - Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification. 183-194 - Changzhi Su, Li Zhang, Lei Zhao:
FFTRL: A Sparse Online Kernel Classification Algorithm for Large Scale Data. 195-206 - Dustin Aganian, Mona Köhler, Benedict Stephan, Markus Eisenbach, Horst-Michael Gross:
Fusing Hand and Body Skeletons for Human Action Recognition in Assembly. 207-219 - Hongfei Gao, Ruimin Hu, Zijun Huang:
Gaze Behavior Patterns for Early Drowsiness Detection. 220-231 - Xianjing Xiao, Yan Du, Rui Yang, Runze Hu, Xiu Li:
GH-QFL: Enhancing Industrial Defect Detection Through Hard Example Mining. 232-243 - Hongwei Chen, Mengjie Li, Yupeng Lei:
HaarStyle:Revision Style Transfer Based on Multiple Resolutions. 244-255 - Or Elroy, Abraham Yosipof:
Semi-Supervised Learning Classifier for Misinformation Related to Earthquakes Prediction on Social Media. 256-267 - Vlad-Constantin Lungu-Stan, Dumitru-Clementin Cercel, Florin Pop:
SkinDistilViT: Lightweight Vision Transformer for Skin Lesion Classification. 268-280 - Jixuan Hong, Jingjing Xie, Chenhui Yang:
Sparse Block DETR: Precise and Speedy End-to-End Detector for PCB Defect Detection. 281-292 - Hanlin Zhao, Yan Chen, Jiajian Xie, Kangshun Li:
SWP:A Sliding Window Prompt for Emotion Recognition in Conversation. 293-304 - Dongping Zhang, Hequn Xian, Jiyang Chen, Zhiguo Xu:
VDCNet: A Vulnerability Detection and Classification System in Cross-Project Scenarios. 305-316 - Xuan Wang, Yi Li, Linna Wang, Li Lu:
CFNet: Point Cloud Upsampling via Cascaded Feedback Network. 317-329 - Xinyi Zhao, Yong Li, Rui Tian, Yunli Chen:
DA-TSD: Double Attention Two-Stage 3D Object Detector from Point Clouds. 330-343 - Ruimin Zhou, Chung-Ming Own:
Enhanced Point Cloud Interpretation via Style Fusion and Contrastive Learning in Advanced 3D Data Analysis. 344-355 - Dejie Li, Kejin Huang, Yinchu Wang, Haijiang Zhu:
PoinLin-Net: Point Cloud Completion Network Based on Geometric Feature Extraction and Linformer Structure. 356-368 - Laurent U. Perrinet:
Accurate Detection of Spiking Motifs in Multi-unit Raster Plots. 369-380 - Romain Ferrand, Maximilian Baronig, Thomas Limbacher, Robert Legenstein:
Context-Dependent Computations in Spiking Neural Networks with Apical Modulation. 381-392 - Tao Sun, Bojian Yin, Sander M. Bohté:
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout. 393-406 - Sherif Eissa, Federico Corradi, Floran de Putter, Sander Stuijk, Henk Corporaal:
QMTS: Fixed-point Quantization for Multiple-timescale Spiking Neural Networks. 407-419 - Adrien Fois, Bernard Girau:
Self-Organizing Temporally Coded Representation Learning. 420-431 - Kristín Ósk Ingvarsdóttir, Birger Johansson, Trond A. Tjøstheim, Christian Balkenius:
A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot. 432-443 - Josua Spisak, Matthias Kerzel, Stefan Wermter:
Clarifying the Half Full or Half Empty Question: Multimodal Container Classification. 444-456 - Jan-Gerrit Habekost, Erik Strahl, Philipp Allgeuer, Matthias Kerzel, Stefan Wermter:
CycleIK: Neuro-inspired Inverse Kinematics. 457-470 - Andrej Lúcny, Kristína Malinovská, Igor Farkas:
Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models. 471-482 - Vera Kurková:
Approximation of Binary-Valued Functions by Networks of Finite VC Dimension. 483-490 - Laurent Mertens, Elahe Yargholi, Jan Van den Stock, Hans P. Op de Beeck, Joost Vennekens:
Color-Dependent Prediction Stability of Popular CNN Image Classification Architectures. 491-503 - Minal Suresh Patil, Kary Främling:
Improving Neural Network Verification Efficiency Through Perturbation Refinement. 504-515 - Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin:
Relative Intrinsic Dimensionality Is Intrinsic to Learning. 516-529 - Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou:
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. 530-541 - Lucas Beerens, Desmond J. Higham:
Componentwise Adversarial Attacks. 542-545 - Alexander Kovalenko, Pavel Kordík:
Decorelated Weight Initialization by Backpropagation. 546-550 - Hiromichi Suetani, Keiichi Kitajo:
Exploring Individuality in Human EEG Using Reservoir Computing. 551-555 - Kevin Max, Laura Kriener, Garibaldi Pineda García, Thomas Nowotny, Walter Senn, Mihai A. Petrovici:
Learning Efficient Backprojections Across Cortical Hierarchies in Real Time. 556-559 - Elias Fischer, Bulcsú Sándor, Claudius Gros:
Neural Self-organization for Muscle-Driven Robots. 560-564 - Peter Kravár, Lukás Gajdosech, Martin Madaras:
Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization. 565-569 - Shweta Singh, Sudaman Katti:
Reinforcement Learning with Memory Based Automatic Chunking for Complex Skill Acquisition. 570-573 - Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U. Perrinet:
Retinotopy Improves the Categorisation and Localisation of Visual Objects in CNNs. 574-584 - Luka Kovac, Igor Farkas:
Safe Reinforcement Learning in a Simulated Robotic Arm. 585-589
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