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INNS DLIA@IJCNN 2023: Gold Coast, Australia
- Chrisina Jayne, Danilo P. Mandic, Richard J. Duro:
International Neural Network Society Workshop on Deep Learning Innovations and Applications, INNS DLIA@IJCNN 2023, Gold Coast, Australia, 23 June 2023. Procedia Computer Science 222, Elsevier 2023 - Muhammed Yaseen Morshed Adib
, Sovon Chakraborty, Mashiwat Tabassum Waishy, Md. Humaion Kabir Mehedi
BiLSTM-ANN Based Employee Job Satisfaction Analysis from Glassdoor Data Using Web Scraping. 1-10 - Mark C. McKenzie, Mark D. McDonnell:
Hyperparameter Selection in Reinforcement Learning Using the "Design of Experiments" Method. 11-24 - Sanchar Palit, Biplab Banerjee, Subhasis Chaudhuri:
Prototypical Quadruplet for Few-Shot Class Incremental Learning. 25-34 - Miles Q. Li, Benjamin C. M. Fung, Ashita Diwan:
A Novel Deep Multi-head Attentive Vulnerable Line Detector. 35-44 - Chenrui Zhang, Chenyi Zhuang:
HScore: A Target Attention-based Filter Pruning with Visualizing the Area of Feature Map. 45-57 - Alexandre Heuillet, Hedi Tabia, Hichem Arioui:
NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks. 58-70 - Yuan Xu, Qinliang Su:
Boosting BERT-Based Knowledge Graph Completion with Contrastive Learning and Hard Sample Training. 71-80 - Pedro V. A. Alves, Mateus A. S. S. Goldbarg
Machine Learning Applied to Anomaly Detection on 5G O-RAN Architecture. 81-93 - Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI. 94-103 - Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis:
Variational Neural Networks. 104-113 - Regina Ofori-Boateng, Magaly Aceves-Martins
Evaluation of Attention-Based LSTM and Bi-LSTM Networks For Abstract Text Classification in Systematic Literature Review Automation. 114-126 - Shixuan Liu, Chen Peng, Chao Wang, Xiangyan Chen, Shuangyong Song:
icsBERTs: Optimizing Pre-trained Language Models in Intelligent Customer Service. 127-136 - Ke Du
A TransSE-ResNet Deep Learning Model with Multi-Head Attention Mechanism for Covid-19 Chest CT Image Classification. 137-146 - Hongyu Zhang, Suyu Wang, Yingying Zhang:
A Dual-Path Multi-Scale Feature Fusion Decoder for SegFormer. 147-156 - Zepu Xi, Hongbo Chen, Xiaoqian Chen, Wen Yao:
Distributions-free Martingales Test Distributions-shift. 157-166 - Kehinde Owoeye:
Curriculum Compositional Continual Learning for Neural Machine Translation. 167-176 - Zhengyang Ai, Junnan Yin, Shuaizong Si, Hongsong Zhu, Limin Sun:
Mining Implicit Behavioral Patterns via Attention Networks for Sequential Recommendation. 177-186 - Keyao Li, Jungang Xu:
AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution. 187-196 - Yuanze Zheng, Hu Liang, Shengrong Zhao
LMBNet: Lightweight Multiple Branch Network for Recognition of HER2 Expression Levels. 197-206 - Fatma Youssef, Victor Parque
VCOACH: A Virtual Coaching System Based on Visual Streaming. 207-216 - John Emerson, Yllias Chali:
Efficient Multi-hop Question Generation. 217-222 - Christos Kaparakis, Siamak Mehrkanoon:
WF-UNet: Weather Data Fusion using 3D-UNet for Precipitation Nowcasting. 223-232 - Fuyun He, Yan Wei, Fangyu Feng, Youwei Qian:
Efficient and Lightweight Neuron Morphology Classification Using Gabor Convolutional Networks. 233-243 - Ali Bakhshi, Joaquín García-Gómez, Roberto Gil-Pita, Stephan K. Chalup:
Violence Detection in Real-Life Audio Signals Using Lightweight Deep Neural Networks. 244-251 - Jon-Lark Kim, Miseong Kim:
Error-correcting output codes for multi-class classification based on Hadamard matrices and a CNN model. 252-261 - Chang-Shuo Chen, Di-Cheng Wang, Rua-Huan Tsaih, Chi-Hsiang Tsaih:
A Mechanism for Supporting the Peak/Trough Detection in the Concept Drifting Environment. 262-271 - Zhongrui Chen, Md Jobayer
MutFusVAE: Mutational Fusion Variational Autoencoder for Predicting Primary Sites of Cancer. 272-283 - Zeping Min:
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture. 284-292 - Christos Bazinas, Chris Lytridis, Vassilis G. Kaburlasos:
Meta-Statistical Deep Learning for Stochastic Time-Series Prediction in Agricultural Applications. 293-302 - Pierre Bras:
Langevin Algorithms for Very Deep Neural Networks with Application to Image Classification. 303-310 - Weihuai Chen, Quzhen Baima, Qi Zhao, Binhui Wang:
DGC-CRL: Dependency Graph Convolution based Contrastive Representation Learning for Chinese Medical Question Matching. 311-320 - Samuel Yen-Chi Chen:
Asynchronous training of quantum reinforcement learning. 321-330 - Andres Eduardo Coca Salazar
CLBP Texture Descriptor in Multipartite Complex Network Configuration for Music Genre Classification. 331-340 - Fathima Nuzla Ismail
One-class Classification-Based Machine Learning Model for Estimating the Probability of Wildfire Risk. 341-352 - Korn Sooksatra, Gissella Bejarano, Pablo Rivas:
Evaluating Robustness of Reconstruction Models with Adversarial Networks. 353-366 - Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert
A Neural Emulator for Uncertainty Estimation of Fire Propagation. 367-376 - Mengyuan Pan, Po Wu, Yiwei Zou, Chong Ruan, Tao Zhang:
An automatic vulnerability classification framework based on BiGRU-TextCNN. 377-386 - Geon-Jun Yang, Jun-Hee Kim, Hyun-Woo Kim, Gun-Hee Lee, Seong-Whan Lee:
EGPose: Explicit and Geometric Self-Supervision for 3D Human Pose Estimation. 387-396 - Liangshan Lou, Ke Lu, Jian Xue:
Multi-Scale Vision Transformer for Defect Object Detection. 397-406 - Mohamad Ali Mehrabi
An Optimized Multi-layer Spiking Neural Network implementation in FPGA Without Multipliers. 407-414 - John Yoo, Rumali Siddiqua, Xuehan Liu, Khandaker Asif Ahmed, Md. Zakir Hossain:
BeeNet: An End-To-End Deep Network For Bee Surveillance. 415-424 - Thiago Fernandes de Sousa, Celso Gonçalves Camilo:
HDeep: Hierarchical Deep Learning Combination for Detection of Diabetic Retinopathy. 425-434 - Heyu Chen, Shigang Li, Jianfeng Li:
An End-to-End Network for Upright Adjustment of Panoramic Images. 435-447 - Hugo Lerogeron, Romain Picot-Clémente, Laurent Heutte, Alain Rakotomamonjy:
Learning an autoencoder to compress EEG signals via a neural network based approximation of DTW. 448-457 - Yasufumi Sakai, Thang Dang, Shigeki Fukuta, Koichi Shirahata, Atsushi Ishikawa
Self-Supervised Learning with Atom Replacement for Catalyst Energy Prediction by Graph Neural Networks. 458-467 - Yue Wang, Jianjun Yu:
A Co-LNP Academic Award Prediction Mechanism based on the CEw-LSTM Model. 468-477 - Takemori Orima
An Extended Spatiotemporal Contextual Learning and Memory Network Model for Hardware Implementation. 478-487 - Oluwatamilore Orojo, Jonathan A. Tepper, T. Martin McGinnity, Mufti Mahmud:
The Multi-Recurrent Neural Network for State-Of-The-Art Time-Series Processing. 488-498 - Matthias Stammler
EFFECT: An End-to-End Framework for Evaluating Strategies for Parallel AI Anomaly Detection. 499-508 - Lucas Z. Bissaro, Odelmo O. Nascimento Junior, João-Batista Destro-Filho, Yaochu Jin, Murillo G. Carneiro:
Towards the Prognosis of Patients in Coma using Echo State Networks for EEG Analysis. 509-518 - Simone Sarti, Eugenio Lomurno, Matteo Matteucci:
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits. 519-528 - Ivan Evdokimov, Michael Kampouridis, Tasos Papastylianou:
Application Of Machine Learning Algorithms to Free Cash Flows Growth Rate Estimation. 529-538 - Esteban Wilfredo Vilca Zuñiga, Caetano Mazzoni Ranieri, Liang Zhao, Jó Ueyama, Yu-tao Zhu, Donghong Ji:
Maximizing portfolio profitability during a cryptocurrency downtrend: A Bitcoin Blockchain transaction-based approach. 539-548 - Kruttidipta Samal, Thomas Walton, Dung Hoang Tran, Marilyn Wolf:
A Markovian Error Model for False Negatives in DNN-based Perception-Driven Control Systems. 549-560 - Aline Montenegro Leal Silva, Francisco Jair de Oliveira Neres, Ana Paula da Silva Mendes, Vinícius Ponte Machado, André Macedo Santana, Ricardo de Andrade Lira Rabelo:
Method for inferring the number of clusters based on a range of attribute values with subsequent automatic data labeling. 561-570 - Jiawei Yao, Enbei Liu, Maham Rashid, Juhua Hu:
AugDMC: Data Augmentation Guided Deep Multiple Clustering. 571-580 - Pawan Agrawal, Subham Raj, Sriparna Saha, Naoyuki Onoe:
A Meta-learning Based Generative Model with Graph Attention Network for Multi-Modal Recommender Systems. 581-590 - Prabir Mondal, Pulkit Kapoor, Siddharth Singh
Task-Specific and Graph Convolutional Network based Multi-modal Movie Recommendation System in Indian Setting. 591-600 - Mir Sazzat Hossain, Sugandha Roy, K. M. B. Asad
Morphological classification of Radio Galaxies using Semi-Supervised Group Equivariant CNNs. 601-612 - Sreekanth Sankala, Sri Rama Murty Kodukula
On Adversarial Vulnerability of Activation Functions in Automatic Speaker verification System. 613-623 - Mustafa Chaukair, Christof Schütte, Vikram Sunkara:
On the Activation Space of ReLU equipped Deep Neural Networks. 624-635 - David Knox, Bing Xue, Mengjie Zhang:
Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection. 636-645 - Giovanni Carvalho, Darniton Viana, Luciano Barbosa, Tsang Ing Ren:
Combining Structured and Unstructured Data using Co-Attention for Car Price Prediction. 646-655 - Maynara Donato de Souza, Clesson Roberto Silva Junior, Jonysberg P. Quintino, Andre Luís de Medeiros Santos, Fabio Q. B. da Silva, Cleber Zanchettin:
Exploring the Impact of Synthetic Data on Human Activity Recognition Tasks. 656-665 - Taslim Murad, Sarwan Ali, Murray Patterson:
A New Direction in Membranolytic Anticancer Peptides classification: Combining Spaced k-mers with Chaos Game Representation. 666-675 - Lokesh Kumar, Sanjay K. Sahay, Hrishikesh Govindrao Kusneniwar:
An investigation of two-step cascaded CNN for the detection of gravitational wave signal from two different astronomical sources. 676-684
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