| 2014 | DIS | Medical Document Mining Combining Image Exploration and Text Characterization. | Nicolau Gonalves, Erkki Oja, Ricardo Vigrio |
| 2013 | ICONIP | Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning. | He Zhang, Mehmet Gnen, Zhirong Yang, Erkki Oja |
| 2013 | ICONIP | Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning. | He Zhang, Zhirong Yang, Mehmet Gnen, Markus Koskela, Jorma Laaksonen, Timo Honkela, Erkki Oja |
| 2012 | ICANN | Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching. | Zhiyun Lu, Zhirong Yang, Erkki Oja |
| 2012 | ICANN | Pairwise Clustering with t-PLSI. | He Zhang, Tele Hao, Zhirong Yang, Erkki Oja |
| 2012 | ICML | Clustering by Low-Rank Doubly Stochastic Matrix Decomposition. | Zhirong Yang, Erkki Oja |
| 2012 | ICONIP | Online Projective Nonnegative Matrix Factorization for Large Datasets. | Zhirong Yang, He Zhang, Erkki Oja |
| 2012 | ICONIP | Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization. | He Zhang, Zhirong Yang, Erkki Oja |
| 2011 | ICANN | Kullback-Leibler Divergence for Nonnegative Matrix Factorization. | Zhirong Yang, He Zhang, Zhijian Yuan, Erkki Oja |
| 2011 | ICONIP | Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering. | Mari-Sanna Paukkeri, Ilkka Kivimki, Santosh Tirunagari, Erkki Oja, Timo Honkela |
| 2011 | ICONIP | A Multimodal Information Collector for Content-Based Image Retrieval System. | He Zhang, Mats Sjberg, Jorma Laaksonen, Erkki Oja |
| 2011 | IJCNN | Non-Gaussian component analysis using Density Gradient Covariance matrix. | Nima Reyhani, Erkki Oja |
| 2010 | ESANN | Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs. | Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse |
| 2010 | IJCNN | Extending Self-Organizing Maps with uncertainty information of probabilistic PCA. | Dusan Sovilj, Tapani Raiko, Erkki Oja |
| 2009 | ICANN | Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. | Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A. J. Hilbers, Timo Honkela, Erkki Oja, Amaury Lendasse |
| 2009 | ICANN | Projective Nonnegative Matrix Factorization with α-Divergence. | Zhirong Yang, Erkki Oja |
| 2006 | IJCNN | Extraction of Components with Structured Variance. | Alexander Ilin, Harri Valpola, Erkki Oja |
| 2005 | ICASSP | Cramer-Rao lower bound for linear independent component analysis. | Zbynek Koldovsk, Petr Tichavsk, Erkki Oja |
| 2005 | IJCNN | Semiblind source separation of climate data detects El Nino as the component with the highest interannual variability. | Alexander Ilin, Harri Valpola, Erkki Oja |
| 2005 | IJCNN | The evolving tree, a hierarchical tool for unsupervised data analysis. | Jussi Pakkanen, Jukka livarinen, Erkki Oja |
| 2004 | ICONIP | Applications of Independent Component Analysis. | Erkki Oja |
| 2004 | ICPR | Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval. | Markus Koskela, Jorma Laaksonen, Erkki Oja |
| 2004 | IJCNN | Asymmetric multiagent reinforcement learning in pricing applications. | Ville Knnen, Erkki Oja |
| 2004 | IJCNN | Patterns, clusters, and components - what data is made of. | Erkki Oja |
| 2004 | SSPR | Finding Clusters and Components by Unsupervised Learning. | Erkki Oja |
| 2002 | HIS | Independent Component Analisys. | Erkki Oja |
| 2002 | ICANN | Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. | Markus Koskela, Jorma Laaksonen, Erkki Oja |
| 2002 | ICFHR | Class-confidence critic combining. | Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas |
| 2002 | ICPR | Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps. | Markus Koskela, Jorma Laaksonen, Erkki Oja |
| 2001 | ICDAR | Rejection Methods for an Adaptive Committee Classifier. | Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas |
| 2001 | ICDAR | Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set. | Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas |
| 2000 | ICPR | Statistical Shape Features in Content-Based Image Retrieval. | Sami S. Brandt, Jorma Laaksonen, Erkki Oja |
| 2000 | ICPR | Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters. | Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas |
| 1999 | ICDAR | Dynamically Expanding Context as Committee Adaptation Method in On-Line Recognition of Handwritten Latin Characters. | Jorma Laaksonen, Matti Aksela, Erkki Oja, Jari Kangas |
| 1999 | ICDAR | On-line Adaptation in Recognition of Handwritten Alphanumeric Characters. | Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas |
| 1999 | IJCNN | A comparison of neural ICA algorithms using real-world data. | Xavier Giannakopoulos, Juha Karhunen, Erkki Oja |
| 1999 | IJCNN | A fast algorithm for estimating overcomplete ICA bases for image windows. | Aapo Hyvrinen, Razvan Cristescu, Erkki Oja |
| 1999 | IJCNN | Adaptive local subspace classifier in on-line recognition of handwritten characters. | Jorma Laaksonen, Matti Aksela, Erkki Oja, Jari Kangas |
| 1999 | IJCNN | PicSOM: self-organizing maps for content-based image retrieval. | Jorma Laaksonen, Markus Koskela, Erkki Oja |
| 1999 | IJCNN | Data analysis, visualization, and hidden factor discovery by unsupervised learning. | Erkki Oja, Kimmo Kiviluoto |
| 1999 | IWANN | Independent Component Analysis of Human Brain Waves. | Ricardo Vigrio, Erkki Oja |
| 1998 | ICONIP | Independent Component Analysis for Parallel Financial Time Series. | Kimmo Kiviluoto, Erkki Oja |
| 1998 | ICONIP | Signal Decomposition by Fast ICA. | Erkki Oja |
| 1998 | ICONIP | The Nonlinear PCA Approach to ICA. | Erkki Oja |
| 1998 | ICPR | Image feature extraction by sparse coding and independent component analysis. | Aapo Hyvrinen, Erkki Oja, Patrik O. Hoyer, Jarmo Hurri |
| 1998 | ICPR | Reduced multidimensional histograms in color texture description. | Kimmo Valkealahti, Erkki Oja |
| 1997 | ICANN | From Neural Principal Components to Neural Independent Components. | Erkki Oja, Juha Karhunen, Aapo Hyvrinen |
| 1997 | ICANN | Local Independent Component Analysis by the Self-Organizing Map. | Erkki Oja, Kimmo Valkealahti |
| 1997 | ICASSP | Applications of neural blind separation to signal and image processing. | Juha Karhunen, Aapo Hyvrinen, Ricardo Vigrio, Jarmo Hurri, Erkki Oja |
| 1996 | ICANN | Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification. | Jorma Laaksonen, Erkki Oja |
| 1996 | ICANN | Optimal Texture Feature Selection for the Co-Occurrence Map. | Kimmo Valkealahti, Erkki Oja |
| 1996 | ICPR | Neural network and statistical perspectives of classification. | Lasse Holmstrm, Petri Koistinen, Jorma Laaksonen, Erkki Oja |
| 1994 | ECCV | Comparisons of Probabilistic and Non-probabilistic Hough Transforms. | Heikki Klviinen, Petri Hirvonen, Lei Xu, Erkki Oja |
| 1992 | ICPR | Randomized Hough transform applied to translational and rotational motion analysis. | Heikki Klviinen, Erkki Oja, Lei Xu |
| 1992 | ICPR | Unsupervised and supervised classifications by rival penalized competitive learning. | Lei Xu, Adam Krzyzak, Erkki Oja |
| 1992 | ICPR | Further developments on RHT: basic mechanisms, algorithms, and computational complexities. | Lei Xu, Erkki Oja |
| 1990 | ICPR | Randomized Hough transform (RHT). | Pekka Kultanen, Lei Xu, Erkki Oja |
| 1990 | IJCNN | Self-organizing hierarchical feature maps. | Pasi Koikkalainen, Erkki Oja |
| 1990 | MVA | Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System. | Pekka Kultanen, Erkki Oja, Lei Xu |
| 1988 | ICPR | Comparison of χ | K. Selkinaho, Jussi Parkkinen, Erkki Oja |
| 1986 | ICASSP | A fast local PPF restoration filter. | Erkki Oja, Jouko Lampinen |