- 2023
- Muhammed Yaseen Morshed Adib, Sovon Chakraborty, Mashiwat Tabassum Waishy, Md. Humaion Kabir Mehedi, Annajiat Alim Rasel:
BiLSTM-ANN Based Employee Job Satisfaction Analysis from Glassdoor Data Using Web Scraping. INNS DLIA@IJCNN 2023: 1-10 - Pawan Agrawal, Subham Raj, Sriparna Saha, Naoyuki Onoe:
A Meta-learning Based Generative Model with Graph Attention Network for Multi-Modal Recommender Systems. INNS DLIA@IJCNN 2023: 581-590 - Zhengyang Ai, Junnan Yin, Shuaizong Si, Hongsong Zhu, Limin Sun:
Mining Implicit Behavioral Patterns via Attention Networks for Sequential Recommendation. INNS DLIA@IJCNN 2023: 177-186 - Pedro V. A. Alves, Mateus A. S. S. Goldbarg, Wysterlânya K. P. Barros, Iago D. Rego, Vinícius J. M. T. Filho, Allan de M. Martins, Vicente A. de Sousa Jr., Ramon dos Reis Fontes, Eduardo Henrique da Silva Aranha, Augusto V. Neto, Marcelo A. C. Fernandes:
Machine Learning Applied to Anomaly Detection on 5G O-RAN Architecture. INNS DLIA@IJCNN 2023: 81-93 - Ali Bakhshi, Joaquín García-Gómez, Roberto Gil-Pita, Stephan K. Chalup:
Violence Detection in Real-Life Audio Signals Using Lightweight Deep Neural Networks. INNS DLIA@IJCNN 2023: 244-251 - Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI. INNS DLIA@IJCNN 2023: 94-103 - Christos Bazinas, Chris Lytridis, Vassilis G. Kaburlasos:
Meta-Statistical Deep Learning for Stochastic Time-Series Prediction in Agricultural Applications. INNS DLIA@IJCNN 2023: 293-302 - 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. INNS DLIA@IJCNN 2023: 509-518 - Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert:
A Neural Emulator for Uncertainty Estimation of Fire Propagation. INNS DLIA@IJCNN 2023: 367-376 - Pierre Bras:
Langevin Algorithms for Very Deep Neural Networks with Application to Image Classification. INNS DLIA@IJCNN 2023: 303-310 - Giovanni Carvalho, Darniton Viana, Luciano Barbosa, Tsang Ing Ren:
Combining Structured and Unstructured Data using Co-Attention for Car Price Prediction. INNS DLIA@IJCNN 2023: 646-655 - Heyu Chen, Shigang Li, Jianfeng Li:
An End-to-End Network for Upright Adjustment of Panoramic Images. INNS DLIA@IJCNN 2023: 435-447 - Samuel Yen-Chi Chen:
Asynchronous training of quantum reinforcement learning. INNS DLIA@IJCNN 2023: 321-330 - Weihuai Chen, Quzhen Baima, Qi Zhao, Binhui Wang:
DGC-CRL: Dependency Graph Convolution based Contrastive Representation Learning for Chinese Medical Question Matching. INNS DLIA@IJCNN 2023: 311-320 - Zhongrui Chen, Md Jobayer, Md. Rakibul Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain:
MutFusVAE: Mutational Fusion Variational Autoencoder for Predicting Primary Sites of Cancer. INNS DLIA@IJCNN 2023: 272-283 - 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. INNS DLIA@IJCNN 2023: 262-271 - Ke Du, Jiaxing Yan, Li Tang, Hongping Zhao:
A TransSE-ResNet Deep Learning Model with Multi-Head Attention Mechanism for Covid-19 Chest CT Image Classification. INNS DLIA@IJCNN 2023: 137-146 - John Emerson, Yllias Chali:
Efficient Multi-hop Question Generation. INNS DLIA@IJCNN 2023: 217-222 - Ivan Evdokimov, Michael Kampouridis, Tasos Papastylianou:
Application Of Machine Learning Algorithms to Free Cash Flows Growth Rate Estimation. INNS DLIA@IJCNN 2023: 529-538 - Fuyun He, Yan Wei, Fangyu Feng, Youwei Qian:
Efficient and Lightweight Neuron Morphology Classification Using Gabor Convolutional Networks. INNS DLIA@IJCNN 2023: 233-243 - Alexandre Heuillet, Hedi Tabia, Hichem Arioui:
NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks. INNS DLIA@IJCNN 2023: 58-70 - Mir Sazzat Hossain, Sugandha Roy, K. M. B. Asad, Arshad Momen, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman:
Morphological classification of Radio Galaxies using Semi-Supervised Group Equivariant CNNs. INNS DLIA@IJCNN 2023: 601-612 - Fathima Nuzla Ismail, Shanika Amarasoma:
One-class Classification-Based Machine Learning Model for Estimating the Probability of Wildfire Risk. INNS DLIA@IJCNN 2023: 341-352 - Christos Kaparakis, Siamak Mehrkanoon:
WF-UNet: Weather Data Fusion using 3D-UNet for Precipitation Nowcasting. INNS DLIA@IJCNN 2023: 223-232 - Jon-Lark Kim, Miseong Kim:
Error-correcting output codes for multi-class classification based on Hadamard matrices and a CNN model. INNS DLIA@IJCNN 2023: 252-261 - David Knox, Bing Xue, Mengjie Zhang:
Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection. INNS DLIA@IJCNN 2023: 636-645 - 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. INNS DLIA@IJCNN 2023: 676-684 - Hugo Lerogeron, Romain Picot-Clémente, Laurent Heutte, Alain Rakotomamonjy:
Learning an autoencoder to compress EEG signals via a neural network based approximation of DTW. INNS DLIA@IJCNN 2023: 448-457 - Miles Q. Li, Benjamin C. M. Fung, Ashita Diwan:
A Novel Deep Multi-head Attentive Vulnerable Line Detector. INNS DLIA@IJCNN 2023: 35-44