- 2023
- Faseela Abdullakutty, Eyad Elyan, Pamela Johnston:
Unmasking the Imposters: Task-specific feature learning for face presentation attack detection. IJCNN 2023: 1-8 - S. K. Abhilash, Venu Madhav Nookala, Adithya Babu, Karthik S, Mithun VR:
MHCP-RCNN: Multi-Human Color Parsing Segmentation using Multi-Task Network. IJCNN 2023: 1-8 - Saima Absar, Yongkai Wu, Lu Zhang:
Neural Time-Invariant Causal Discovery from Time Series Data. IJCNN 2023: 1-8 - Tosin P. Adewumi, Mofetoluwa Adeyemi, Aremu Anuoluwapo, Bukola Peters, Happy Buzaaba, Oyerinde Samuel, Amina Mardiyyah Rufai, Benjamin Ajibade, Tajudeen Gwadabe, Mory Moussou Koulibaly Traore, Tunde Oluwaseyi Ajayi, Shamsuddeen Hassan Muhammad, Ahmed Baruwa, Paul Owoicho, Tolúlopé Ògúnrèmí, Phylis Ngigi, Orevaoghene Ahia, Ruqayya Nasir, Foteini Liwicki, Marcus Liwicki:
AfriWOZ: Corpus for Exploiting Cross-Lingual Transfer for Dialogue Generation in Low-Resource, African Languages. IJCNN 2023: 1-8 - Pedram Agand, Mo Chen, Hamid D. Taghirad:
Online Probabilistic Model Identification Using Adaptive Recursive MCMC. IJCNN 2023: 1-8 - Dustin Aganian, Mona Köhler, Sebastian Baake, Markus Eisenbach, Horst-Michael Groß:
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks. IJCNN 2023: 1-9 - Adnan Ahmad, Vinh Loi Chau, Antonio Robles-Kelly, Shang Gao, Longxiang Gao, Lianhua Chi, Wei Luo:
Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning. IJCNN 2023: 1-8 - Jiaxin Ai, Zhongyuan Wang, Baojin Huang, Zhen Han:
DeepReversion: Reversely Inferring the Original Face from the DeepFake Face. IJCNN 2023: 1-7 - Sarah Alhammad, Brian C. Lovell:
Knowing the Unknown: Open-set Bacteria Classification in Gram Stain Microscopic Images. IJCNN 2023: 1-8 - Maan Alhazmi, Abdulrahman Altahhan:
Best Fit Activation Functions for Attention Mechanism: Comparison and Enhancement. IJCNN 2023: 1-8 - Sarwan Ali, Taslim Murad, Murray Patterson:
PCD2Vec: A Poisson Correction Distance Based Approach for Viral Host Classification. IJCNN 2023: 1-8 - Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia:
A Non-Targeted Attack Approach for the Coarse Misclassification Problem. IJCNN 2023: 1-7 - Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. IJCNN 2023: 1-8 - Ahmed Amer, Chirag Bhuvaneshwara, Gowtham K. Addluri, Mohammed M. Shaik, Vedant Bonde, Philipp Müller:
Backchannel Detection and Agreement Estimation from Video with Transformer Networks. IJCNN 2023: 1-8 - Na Min An, Hyeonhee Roh, Sein Kim, Jae Hun Kim, Maesoon Im:
Reinforcement Learning Framework to Simulate Short-Term Learning Effects of Human Psychophysical Experiments Assessing the Quality of Artificial Vision. IJCNN 2023: 1-8 - Jiayu An, Changming Zhao, Dongrui Wu:
Semi-Supervised Generalized Source-Free Domain Adaptation (SSG-SFDA). IJCNN 2023: 1-8 - Kathleen Anderson, Philipp Grüning, Erhardt Barth:
Connections Between Pairs of Filters Improve the Accuracy of Convolutional Neural Networks. IJCNN 2023: 1-7 - Leandro Anghinoni, Yu-tao Zhu, Donghong Ji, Liang Zhao:
TransGNN: A Transductive Graph Neural Network with Graph Dynamic Embedding. IJCNN 2023: 1-8 - Taif Anjum, Daya Kumar, Apurva Narayan:
Spatio-temporal Analysis of Dashboard Camera Videos for Time-To-Accident Forecasting. IJCNN 2023: 1-8 - Faizanuddin Ansari, Swagatam Das, Pourya Shamsolmoali:
Handling Class Imbalance by Estimating Minority Class Statistics. IJCNN 2023: 1-8 - Mohammed Yusuf Ansari, Iffa Afsa Changaai Mangalote, Dima Masri, Sarada Prasad Dakua:
Neural Network-based Fast Liver Ultrasound Image Segmentation. IJCNN 2023: 1-8 - Mohamed Arbane, Mohamed Essaid Khanouche, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat:
DRSU-net: Depth-Residual Separable U-net model for Semantic Segmentation. IJCNN 2023: 1-6 - Alberto Archetti, Matteo Matteucci:
Federated Survival Forests. IJCNN 2023: 1-9 - Paolo Arena, Maria Francesca Pia Cusimano, Luca Patané, Poramate Manoonpong:
A biologically-inspired locally-connected spiking network for efficient and robust ground reaction force estimation in a legged robot. IJCNN 2023: 1-8 - Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. IJCNN 2023: 1-10 - Corneliu T. C. Arsene, Alessandra Parisio:
Deep Learning Models for Multi-Energy Prediction of Combined Electrical, Heat and Gas network systems. IJCNN 2023: 1-8 - Daniel Nowak Assis, Fabrício Enembreck, Jean Paul Barddal:
Mass-Based Short Term Selection of Classifiers in Data Streams. IJCNN 2023: 1-8 - Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau, Mounia Kharbouche-Harrari:
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. IJCNN 2023: 1-8 - Utku Ayvaz, Chih-Hong Cheng, Hao Shen:
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles. IJCNN 2023: 1-8 - Basim Azam, Brijesh K. Verma:
A Graph-based Context Learning Technique for Image Parsing. IJCNN 2023: 1-10