- Lovinger, J., Valova, I. Infinite Lattice Learner: an ensemble for incremental learning. Soft Comput 24, 6957– 6974 (2020). https://doi.org/10.1007/s00500-019-04330-7
- J.Lovinger, I.Valova, C.Clogh, Gist: General Integrated Summarization of Text and Reviews, Journal on Soft Computing, Springer, 23: 1589–1601, issue 5, 2019.
- J.Lovinger, I.Valova, Adaptive Predictive System for Survey Analysis: Classification Under Highly Uncertain Conditions, Progress in Artificial Intelligence, Springer, 6: 3, 221-234, 2017.
- J.Olson, I.Valova, H.Michel, WSCISOM: Wireless Sensor Data Cluster Identification Through a Hybrid SOM/MLP/RBF Architecture, Progress in Artificial Intelligence, Springer, 4: 5, 233-250, 2016.
- D.Avila, I.Valova, RADDACL2: A Recursive Approach to Discovering Density Clusters, Progress in Artificial Intelligence, Springer, 4:1, 21-36, 2015.
- C.Gorman, I.Valova, GORMANN: Gravitationally Organized Related Mapping Artificial Neural Network, The Computer Journal, Oxford, July 2015.
- C.Gorman, I.Valova, No Neuron Left Behind: A Genetic Approach to Higher Precision Topological Mapping of Self-Organizing Maps, Central European Journal of Computer Science, January 2015.
- B. J.Ford, H.Xu, I.Valova, A Real-Time Self-Adaptive Classifier for Identifying Suspicious Bidders in Online Auctions. The Computer Journal, Oxford, Vol. 56, No. 5, 646 – 664, 2013.
Conferences (last 5 years only)
- I.Valova, C.Harris, N.Gueorguieva, T.Mai, In-Between Layers Modular Residual Neural Network for the Classification of Images, 7th International Conference of Control, Dynamic Systems, and Robotics, Canada, 2020.
- N.Gueorguieva, I.Valova, D.Klusek, Solving Large Scale Classification Problems with Stochastic Based Optimization, Procedia Computer Sciences (Elsevier), Complex Adaptive Systems (CAS), 2019, pp. Vol.168, pp 26-33.
- N.Gueorguieva, I.Valova, B.Keegan, Solving Regression Models with First Order Stochastic Based Optimizers, 9th International IEEE EMBS Conference on Neural Engineering, San Francisco, CA, March, 2019.
- A.Westgate, I.Valova, A Graph Based Approach to Sentiment Lexicon Expansion, International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Montreal, Canada, June, 2018.
- N.Gueorguieva, I.Valova, G.Georgiev, M&MFCM: Fuzzy C-means Clustering with Mahalanobis and Minkowski Distance Metrics, Procedia Computer Science 114C, 2017, pp. 224 – 233.
- J.Lovinger, I.Valova, Neural Field: Supervised Apportioned Incremental Learning (SAIL), Proceedings International Joint Conference on Neural Networks (IJCNN), World Congress on Computational Intelligence (WCCI), Vancouver, Canada, 2016.
- N.Gueorguieva, I.Valova, G.Georgiev, Fuzzyfication of Principle Component Analysis for Data Dimensionality Reduction, Proceedings IEEE Conference on Fuzzy Systems, World Congress on Computational Intelligence (WCCI), Vancouver, Canada, 2016.
- A.Gangopadhyay, J.Rezendes, K.Lyndon, R.Balasubramanian, I.Valova, Toward an Automated Detection of the Gulf Stream North Wall From Concurrent Satellite Images, Proceedings of the Marine Technology Society, MTS/IEEE Oceans’15, 2015.
- J.Lovinger, I.Valova, Scrubbing the Web for Association Rules, an Application in Predictive Text, International Conference on Machine Learning and Applications (ICMLA), Miami, Florida, 2015.
- C.Rogers, I.Valova, Decaying Potential Fields Neural Network: an Approach for Parallelizing Topologically Indicative Mapping Exemplars, International Conference on Machine Learning and Applications (ICMLA), Miami, Florida, 2015.