Digital lattice filters with reduced number of multipliers. - Yrjö Neuvo; Olli Simula (ICASSP, 1976)

Performance of an experimental data flow architecture for signal processing. - Klaus Kronlöf; Jorma Skyttä; Iiro Hartimo; Olli Simula (ICASSP, 1982)

DFSP: A Data Flow Signal Processor. - Iiro Hartimo; Klaus Kronlöf; Olli Simula; Jorma Skyttä (IEEE Trans. Computers, 1986)

Combining linear equalization and self-organizing adaptation in dynamic discrete-signal detection. - Teuvo Kohonen; Kimmo Raivio; Olli Simula; Olli Ventä; Jukka Henriksson (IJCNN, 1990)

Neural adaptation for optimal traffic shaping in telephone systems. - Tang Haitao; Olli Simula (ICNN, 1995)

Neural detection of QAM modulation in the presence of interference. - Kimmo Raivio; Jukka Henriksson; Olli Simula (ICNN, 1995)

Engineering applications of the self-organizing map. - Teuvo Kohonen; Erkki Oja; Olli Simula; Aari Visa; Jari Kangas 001 (Proc. IEEE, 1996)

Performance of two neural receiver structures in the presence of co-channel interference. - Kimmo Raivio; Ari Hämäläinen; Jukka Henriksson; Olli Simula (ICNN, 1997)

Analysis of Complex Systems Using the Self-Organizing Map. - Olli Simula; Esa Alhoniemi; Jaakko Hollmén; Juha Vesanto (ICONIP (2), 1997)

Analysis of industrial systems using the self-organizing map. - Olli Simula; Juha Vesanto; Petri Vasara (KES (1), 1998)

Neural detection of QAM signal with strongly nonlinear receiver. - Kimmo Raivio; Jukka Henriksson; Olli Simula (Neurocomputing, 1998)

SOM Based Analysis of Pulping Process Data. - Olli Simula; Esa Alhoniemi (IWANN (2), 1999)

Process Monitoring and Modeling Using the Self-Organizing Map. - Esa Alhoniemi; Jaakko Hollmén; Olli Simula; Juha Vesanto (Integr. Comput. Aided Eng., 1999)

A learning vector quantization algorithm for probabilistic models. - Jaakko Hollmén; Volker Tresp; Olli Simula (EUSIPCO, 2000)

Interpretation and comparison of multivariate data partitions. - Esa Alhoniemi; Olli Simula (ESANN, 2001)

Neural Analysis of Mobile Radio Access Network. - Kimmo Raivio; Olli Simula; Jaana Laiho (ICDM, 2001)

An approach to automated interpretation of SOM. - Markus Siponen; Juha Vesanto; Olli Simula; Petri Vasara (WSOM, 2001)

Mobile radio access network monitoring using the self-organizing map. - Pasi Lehtimäki; Kimmo Raivio; Olli Simula (ESANN, 2002)

Self-Organizing Operator Maps in Complex System Analysis. - Pasi Lehtimäki; Kimmo Raivio; Olli Simula (ICANN, 2003)

Analysis of Mobile Radio Access Network Using the Selforganizing Map. - Kimmo Raivio; Olli Simula; Jaana Laiho; Pasi Lehtimäki (Integrated Network Management, 2003)

Advanced analysis methods for 3G cellular networks. - Jaana Laiho; Kimmo Raivio; Pasi Lehtimäki; K. Hatonen; Olli Simula (IEEE Trans. Wirel. Commun., 2005)

Advantages of Using Feature Selection Techniques on Steganalysis Schemes. - Yoan Miche; Patrick Bas; Amaury Lendasse; Christian Jutten; Olli Simula (IWANN, 2007)

Time series prediction competition: The CATS benchmark. - Amaury Lendasse; Erkki Oja; Olli Simula; Michel Verleysen (Neurocomputing, 2007)

A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM. - Yoan Miche; Patrick Bas; Christian Jutten; Olli Simula; Amaury Lendasse (ESANN, 2008)

Reliable Steganalysis Using a Minimum Set of Samples and Features. - Yoan Miche; Patrick Bas; Amaury Lendasse; Christian Jutten; Olli Simula (EURASIP J. Inf. Secur., 2009)

Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs. - Yoan Miche; Emil Eirola; Patrick Bas; Olli Simula; Christian Jutten; Amaury Lendasse; Michel Verleysen (ESANN, 2010)

European Symposium on Times Series Prediction. - Amaury Lendasse; Timo Honkela; Olli Simula (Neurocomputing, 2010)

OP-ELM: optimally pruned extreme learning machine. - Yoan Miche; Antti Sorjamaa; Patrick Bas; Olli Simula; Christian Jutten; Amaury Lendasse (IEEE Trans. Neural Networks, 2010)

TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization. - Yoan Miche; Mark van Heeswijk; Patrick Bas; Olli Simula; Amaury Lendasse (Neurocomputing, 2011)

Minimal Learning Machine: A New Distance-Based Method for Supervised Learning. - Amauri Holanda de Souza Júnior; Francesco Corona; Yoan Miche; Amaury Lendasse; Guilherme A. Barreto; Olli Simula (IWANN (1), 2013)

Extreme Learning Machine: A Robust Modeling Technique? Yes! - Amaury Lendasse; Anton Akusok; Olli Simula; Francesco Corona; Mark van Heeswijk; Emil Eirola; Yoan Miche (IWANN (1), 2013)

Extending Extreme Learning Machine with Combination Layer. - Dusan Sovilj; Amaury Lendasse; Olli Simula (IWANN (1), 2013)

A Fast Microprogrammed Digital Filter Supporting Early Signal Processing Research. - Olli Simula; Yrjö Neuvo (History of Nordic Computing, 2014)