| 2021 | KES | Chest X-Ray Image Preprocessing for Disease Classification. | Guy Caseneuve, Iren Valova, Nathan LeBlanc, Melanie Thibodeau |
| 2021 | KES | Honey sources: neural network approach to bee species classification. | William Kelley, Iren Valova, Douglas Bell, Ojonukpemi Ameh, Jacob Bader |
| 2020 | KES | Optimization of Convolutional Neural Networks for Imbalanced Set Classification. | Iren Valova, Christopher Harris, Tony Mai, Natacha Gueorguieva |
| 2016 | IJCNN | Neural Field: Supervised apportioned incremental learning (SAIL). | Justin Lovinger, Iren Valova |
| 2015 | ICMLA | Scrubbing the Web for Association Rules: An Application in Predictive Text. | Justin Lovinger, Iren Valova |
| 2015 | ICMLA | Decaying Potential Fields Neural Network: An Approach for Parallelizing Topologically Indicative Mapping Exemplars. | Clinton Rogers, Iren Valova |
| 2014 | ICMLA | Genetically Supervised Self-Organizing Map for the Classification of Glass Samples. | Richard de Groof, Iren Valova |
| 2009 | IJCNN | Growing mechanisms and cluster identification with TurSOM. | Derek Beaton, Iren Valova, Daniel MacLean |
| 2009 | IJCNN | TurSOM: A Turing inspired Self-Organizing Map. | Derek Beaton, Iren Valova, Daniel MacLean |
| 2009 | SMC | The Use of TurSOM for Color Image Segmentation. | Derek Beaton, Iren Valova, Daniel MacLean |
| 2008 | ICMLA | Identification of Patterns via Region-Growing Parallel SOM Neural Network. | Iren Valova, Daniel MacLean, Derek Beaton |
| 2007 | IJCNN | RADDACL: A Recursive Algorithm for Clustering and Density Discovery on Non-linearly Separable Data. | Derek Beaton, Iren Valova |
| 2007 | IJCNN | Parallel Growing SOM Monitored by Genetic Algorithm. | Daniel MacLean, Iren Valova |
| 2006 | IJCNN | A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space. | John Hammond, Daniel MacLean, Iren Valova |
| 2005 | SMC | Growing radial basis neural networks with potential function generators. | Iren Valova, George Georgiev, Natacha Gueorguieva |
| 2005 | SMC | Modeling weakly connected networks of neural oscillators with spiking neurons. | Iren Valova, Natacha Gueorguieva, George Georgiev |
| 2003 | ICANN | Building RBF Neural Network Topology through Potential Functions. | Natacha Gueorguieva, Iren Valova |
| 2003 | SMC | Feedforward neural networks with sigmoidal and radial basis functions hidden neurons. | Iren Valova, Natacha Gueorguieva, Matthias Kempka |
| 2001 | SMC | Odor information processing in human-oscillatory model. | George Georgiev, Natacha Gueorguieva, Plamen Tchimev, Iren Valova |
| 1999 | IJCNN | Modeling higher level processing functions inherent to the human brain. | Iren Valova, Yukio Kosugi |