- Keyao Li, Jungang Xu:
AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution. INNS DLIA@IJCNN 2023: 187-196 - Shixuan Liu, Chen Peng, Chao Wang, Xiangyan Chen, Shuangyong Song:
icsBERTs: Optimizing Pre-trained Language Models in Intelligent Customer Service. INNS DLIA@IJCNN 2023: 127-136 - Liangshan Lou, Ke Lu, Jian Xue:
Multi-Scale Vision Transformer for Defect Object Detection. INNS DLIA@IJCNN 2023: 397-406 - Mark C. McKenzie, Mark D. McDonnell:
Hyperparameter Selection in Reinforcement Learning Using the "Design of Experiments" Method. INNS DLIA@IJCNN 2023: 11-24 - Ali Mehrabi, Yeshwanth Bethi, André van Schaik, Saeed Afshar:
An Optimized Multi-layer Spiking Neural Network implementation in FPGA Without Multipliers. INNS DLIA@IJCNN 2023: 407-414 - Zeping Min:
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture. INNS DLIA@IJCNN 2023: 284-292 - Prabir Mondal, Pulkit Kapoor, Siddharth Singh, Sriparna Saha, Jyoti Prakash Singh, Naoyuki Onoe:
Task-Specific and Graph Convolutional Network based Multi-modal Movie Recommendation System in Indian Setting. INNS DLIA@IJCNN 2023: 591-600 - Taslim Murad, Sarwan Ali, Murray Patterson:
A New Direction in Membranolytic Anticancer Peptides classification: Combining Spaced k-mers with Chaos Game Representation. INNS DLIA@IJCNN 2023: 666-675 - Regina Ofori-Boateng, Magaly Aceves-Martins, Chrisina Jayne, Nirmalie Wiratunga, Carlos Francisco Moreno-García:
Evaluation of Attention-Based LSTM and Bi-LSTM Networks For Abstract Text Classification in Systematic Literature Review Automation. INNS DLIA@IJCNN 2023: 114-126 - Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis:
Variational Neural Networks. INNS DLIA@IJCNN 2023: 104-113 - Takemori Orima, Takeru Tsuji, Yoshihiko Horio:
An Extended Spatiotemporal Contextual Learning and Memory Network Model for Hardware Implementation. INNS DLIA@IJCNN 2023: 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. INNS DLIA@IJCNN 2023: 488-498 - Kehinde Owoeye:
Curriculum Compositional Continual Learning for Neural Machine Translation. INNS DLIA@IJCNN 2023: 167-176 - Sanchar Palit, Biplab Banerjee, Subhasis Chaudhuri:
Prototypical Quadruplet for Few-Shot Class Incremental Learning. INNS DLIA@IJCNN 2023: 25-34 - Mengyuan Pan, Po Wu, Yiwei Zou, Chong Ruan, Tao Zhang:
An automatic vulnerability classification framework based on BiGRU-TextCNN. INNS DLIA@IJCNN 2023: 377-386 - Yasufumi Sakai, Thang Dang, Shigeki Fukuta, Koichi Shirahata, Atsushi Ishikawa, Atsuki Inoue, Hiroshi Kawaguchi, Árni Björn Höskuldsson, Egill Skúlason:
Self-Supervised Learning with Atom Replacement for Catalyst Energy Prediction by Graph Neural Networks. INNS DLIA@IJCNN 2023: 458-467 - Andres Eduardo Coca Salazar:
CLBP Texture Descriptor in Multipartite Complex Network Configuration for Music Genre Classification. INNS DLIA@IJCNN 2023: 331-340 - Kruttidipta Samal, Thomas Walton, Dung Hoang Tran, Marilyn Wolf:
A Markovian Error Model for False Negatives in DNN-based Perception-Driven Control Systems. INNS DLIA@IJCNN 2023: 549-560 - Sreekanth Sankala, Sri Rama Murty Kodukula:
On Adversarial Vulnerability of Activation Functions in Automatic Speaker verification System. INNS DLIA@IJCNN 2023: 613-623 - Simone Sarti, Eugenio Lomurno, Matteo Matteucci:
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits. INNS DLIA@IJCNN 2023: 519-528 - 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. INNS DLIA@IJCNN 2023: 561-570 - Korn Sooksatra, Gissella Bejarano, Pablo Rivas:
Evaluating Robustness of Reconstruction Models with Adversarial Networks. INNS DLIA@IJCNN 2023: 353-366 - Thiago Fernandes de Sousa, Celso Gonçalves Camilo:
HDeep: Hierarchical Deep Learning Combination for Detection of Diabetic Retinopathy. INNS DLIA@IJCNN 2023: 425-434 - 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. INNS DLIA@IJCNN 2023: 656-665 - Matthias Stammler, Julian Höfer, David Kraus, Patrick Schmidt, Tim Hotfilter, Tanja Harbaum, Jürgen Becker:
EFFECT: An End-to-End Framework for Evaluating Strategies for Parallel AI Anomaly Detection. INNS DLIA@IJCNN 2023: 499-508 - Yue Wang, Jianjun Yu:
A Co-LNP Academic Award Prediction Mechanism based on the CEw-LSTM Model. INNS DLIA@IJCNN 2023: 468-477 - Zepu Xi, Hongbo Chen, Xiaoqian Chen, Wen Yao:
Distributions-free Martingales Test Distributions-shift. INNS DLIA@IJCNN 2023: 157-166 - Yuan Xu, Qinliang Su:
Boosting BERT-Based Knowledge Graph Completion with Contrastive Learning and Hard Sample Training. INNS DLIA@IJCNN 2023: 71-80 - 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. INNS DLIA@IJCNN 2023: 387-396 - Jiawei Yao, Enbei Liu, Maham Rashid, Juhua Hu:
AugDMC: Data Augmentation Guided Deep Multiple Clustering. INNS DLIA@IJCNN 2023: 571-580