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Publications

1
J. Heikkonen and P. Koikkalainen.
Self-organization and autonomous robots.
In O. Omidvar and P. van der Smagt, editors, Neural Systems for Robotics, pages 297-337. Academic Press, San Diego, 1997.

2
J. Heikkonen, A. Varfis, I. Kanellopoulos, G. G. Wilkinson, K. Fullerton, and A. Steel.
A method for remote sensing based classification of urban areas.
In Proceedings of the 10th Scandinavian Conference on Image Analysis, Lappeenranta, Finland, June 9-11, volume II, pages 417-421, 1997.

3
J. Heikkonen, A. Varfis, I. Kanellopoulos, G. G. Wilkinson, K. Fullerton, and A. Steel.
Satellite image based land cover/land use classification of urban areas.
In Proceedings 3rd Int. Conference on Engineering Applications of Neural Networks, Stockholm, Sweden, June 16-18, pages 9-16, 1997.

4
P. Heino.
Dynamic fracture of disordered viscoelastic solids.
In International workshop on physics of structurally disordered materials. University of Jyväskylä, February 1997.

5
P. Heino, R. Hernberg, and J. Stenberg.
Statistical pyrometric sizing of particles in fluidized bed combustion.
Combust. Flame, 108:315-326, 1997.

6
P. Heino, H.Häkkinen, and K.Kaski.
Molecular dynamics study of mechanical properties of copper.
Technical Report Research Report B9, ISSN 1455-0474, ISBN 951-22-3685-0, Laboratory of Computational Engineering, Helsinki University of Technology, Espoo, Finland, 1997.

7
P. Heino and K. Kaski.
Mesoscopic model of crack branching.
Physical Review B, 54(9):6150-6154, 1996.

8
P. Heino and K. Kaski.
Dynamic fracture of disordered viscoelastic solids.
Phys. Rev. E, 56:4364-4370, 1997.

9
P. Heino and K. Kaski.
Dynamic fracture of disordered viscoelastic solids.
In E. Rauhala and M. E. Sainio, editors, Proc. of the XXXI annual conference of the Finnish physical society, HU-P-262, page 10.05. University of Helsinki, 1997.

10
P. Heino and K. Kaski.
Mesoscopic maxwell-dissipative finite element model for crack propagation.
International Journal of Modern Physics C, 8(2):383-395, 1997.

11
K. Kaski and P. Heino.
Computer simulations of fracture in disordered visco-elastic systems.
Technical Report B2, Helsinki University of Technology, Laboratory of Computational Engineering, March 1997.

12
K. Kaski and P. Heino.
Computer simulations of fracture in disordered viscoelastic systems.
Journal of Molecular Liquids, 71:225-233, 1997.

13
K. Kaski, P. Heino, and H. Häkkinen.
Molecular dynamics study of mechanical properties of copper.
In Bulletin of the american physical society, volume 42, page 1556, 1997.

14
M. Korteoja, A. Lukkarinen, K. Kaski, and K. J. Niskanen.
Local strains in paper.
TAPPI Journal, 79:217-223, 1996.

15
M. Korteoja, K. J. Niskanen, K. Kaski, and M. T. Kortschot.
Progressive damage in paper.
Technical Report Research Report B6,ISSN 1455-0474, ISBN 951-22-3616-8, Laboratory of Computational Engineering, Helsinki University of Technology, Espoo, Finland, 1996.
(submitted to TAPPI Journal).

16
T. Koskela, M. Lehtokangas, J. Saarinen, and K. Kaski.
Time series prediction with multilayer perceptron, FIR and elman neural networks.
In Proc. World Congress on Neural Networks, pages 491-496. INNS Press, 1996.

17
T. Koskela, M. Varsta, J. Heikkonen, and K. Kaski.
Time series prediction using RSOM with local linear models.
Int. J. of Knowledge-Based Intelligent Engineering Systems, 1998.

18
T. Koskela, M. Varsta, J.Heikkonen, and K. Kaski.
Time series prediction using RSOM with local linear models.
Technical Report B15, Helsinki University of Technology, Lab. of Computational Engineering, 1997.

19
A. Kuronen, S. Savolainen, M. Tagesson, K. Kairemo, and S.-E. Strand.
Monte carlo simulation of radiation doses in radioimmunotherapy.
volume 23, page 1128, 1996.
European Association of Nuclear Medicine Congress, Copenhagen September 1996 (abstract).

20
S. Kuusisto, M. Lehtokangas, J. Saarinen, and K. Kaski.
Short term electric load forecasting using a neural network with fuzzy hidden neurons.
Neural Computing & Applications, 6:42-56, 1997.

21
J. Lampinen.
Advances in neural network modeling.
In L. Yliniemi and E. Juuso, editors, Proc. of TOOLMET'97, Tool Environments and Development Methods for Intelligent Systems, pages 28-36, 1997.

22
J. Lampinen, C. Aschan, A. Kuronen, K. Kairemo, T. Korppi-Tommola, and S. Savolainen.
Estimating internal patient dose using a flexible anatomical phantom based computer program.
volume 23, page 1128, 1996.
European Association of Nuclear Medicine Congress, Copenhagen September 1996 (abstract).

23
J. Lampinen, A. Kuronen, J. Stepanek, and S. Savolainen.
Modelling absorbed dose in ideal cell clusters.
volume 24, page 969, 1997.
European Association of Nuclear Medicine Congress, Glasgow September 1997 (abstract).

24
J. Lampinen, J. Laaksonen, and E. Oja.
Neural network systems, techniques and applications in pattern recognition.
Technical Report B1, Helsinki University of Technology, Laboratory of Computational Engineering, February 1997.

25
J. Lampinen and A. Selonen.
Using background knowledge in multilayer perceptron learning.
In M. Frydrych, J. Parkkinen, and A. Visa, editors, Proc. of The 10th Scandinavian Conference on Image Analysis, volume 2, pages 545-549, 1997.

26
J. Lampinen and S. Smolander.
Self-organizing feature extraction in recognition of wood surface defects and color images.
International Journal of Pattern Recognition and Artificial Intelligence, 10(2):97-113, 1996.

27
M. Lehtokangas, P. Salmela, J. Saarinen, and K. Kaski.
Weight initialization techniques in neural network systems and their application.
Technical Report B12, Helsinki University of Technology, Laboratory of Computational Engineering, July 1997.

28
A. Lukkarinen and K. Kaski.
Computational studies of compressed and sheared electrorheological fluid.
J. Phys. D: Appl. Phys., 29:2729-2732, 1996.

29
A. Lukkarinen and K. Kaski.
Simulation studies of electrorheological fluids under shear, compression, and elongation loading.
Technical Report B14, Helsinki University of Technology, Laboratory of Computational Engineering, September 1997.

30
K. J. Niskanen. M. Korteoja, L. I. Salminen and M. Alava.
Statistical variation of paper strength.
Technical Report Research Report B7, ISSN 1455-0474, ISBN 951-22-3617-6, Laboratory of Computational Engineering, Helsinki University of Technology, Espoo, Finland, 1997.
(Accepted for publication in Journal of Pulp and Paper Science).

31
K. J. Niskanen. M. Korteoja, L. I. Salminen and M. Alava.
Strength distribution in paper.
Technical Report Research Report B8, ISSN 1455-0474, ISBN 951-22-3618-4, Laboratory of Computational Engineering, Helsinki University of Technology, Espoo, Finland, 1997.
(Submitted to J. Mat. Sci. Eng.).

32
K. J. Niskanen, P. Tonteri, and S. Uusi-Salava.
Miten mitataan paperin epätasaisuuden vaikutus sen lujuuteen?
Technical Report Research Report B8, ISSN 1455-0474, ISBN 951-22-3618-4, Laboratory of Computational Engineering, Helsinki University of Technology, Espoo, Finland, 1997.
(in finnish).

33
L. F. Perondi, R. J. Elliott, and K. Kaski.
Tracer diffusion in a system with randomly distributed traps.
J. Phys.: Condens. Matter, 9:7949-7961, 1997.

34
L. F. Perondi, R. J. Elliott, and K. Kaski.
Tracer diffusion in a system with randomly distributed traps.
Technical Report B11, Helsinki University of Technology, Laboratory of Computational Engineering, July 1997.

35
L. F. Perondi, R. J. Elliott, and K. Kaski.
Tracer diffusion in bond disordered square lattices.
J. Phys.: Condens. Matter, 9:7933-7948, 1997.

36
L. F. Perondi, R. J. Elliott, and K. Kaski.
Tracer diffusion in bond disordered square lattices.
Technical Report B10, Helsinki University of Technology, Laboratory of Computational Engineering, July 1997.

37
A. Rantala, S. Franssila, K. Kaski, J. Lampinen, M. Åberg, and P. Kuivalainen.
Variable threshold MOS-transistor for integrated neural network circuits.
In Proc. NORCHIP'97, pages 36-43, 1997.

38
T. T. Rautiainen, M. J. Alava, and K. Kaski.
Dynamics of fracture in dissipative systems.
Physical Review E, 1997.

39
T. T. Rautiainen, M. J. Alava, and K. Kaski.
Dynamics of fracture in dissipative systems.
Technical Report B13, Helsinki University of Technology, Laboratory of Computational Engineering, August 1997.

40
A. Selonen and J. Lampinen.
Experiments on regularizing MLP models with background knowledge.
In W. Gerstner et.al., editor, Artificial Neural Networks - ICANN'97, volume 1327 of Lecture Notes in Computer Science, pages 367-372. Springer, October 1997.

41
A. Selonen, J. Lampinen, and L. Ikonen.
Using background knowledge in neural network learning.
In D.P. Casasent, editor, Intelligent Robots and Computer Vision XV: Algorithms, Techniques, Active Vision, and Materials Handling, volume 2904, pages 239-249, 1996.

42
S. Smolander and J. Lampinen.
Determining the optimal structure for multilayer self-organizing map with genetic algorithm.
In M. Frydrych, J. Parkkinen, and A. Visa, editors, Proc. of The 10th Scandinavian Conference on Image Analysis, volume 1, pages 411-417, 1997.

43
M. Varsta, J. del R. Millán, and J. Heikkonen.
A recurrent self-organizing map for temporal sequence processing.
In Proceedings of the ICANN'97, October 1997.

44
M. Varsta, J. Heikkonen, and J. del R. Millan.
Context learning with the self-organizing map.
Technical Report B4, Helsinki University of Technology, Laboratory of Computational Engineering, April 1997.

45
M. Varsta, J. Heikkonen, and J. del R. Millan.
Context learning with the self-organizing map.
In Proceedings Workshop on Self-Organizing Maps, Helsinki University of Technology, Espoo, Finland, June 4-6, 1997.

46
M. Varsta, J. Heikkonen, and J. del R. Millan.
Epileptic activity detection in eeg with neural networks.
In Proceedings 3rd Int. Conference on Engineering Applications of Neural Networks, Stockholm, Sweden, June 16-18, pages 179-186, 1997.

47
M. Varsta, J. Heikkonen, and J. del R. Millan.
Epileptic activity detection in eeg with neural network.
Technical Report B3, Helsinki University of Technology, Laboratory of Computational Engineering, April 1997.

48
M. Varsta, J. Heikkonen, and J. Del R. Millán.
Context learning with the self-organizing map.
In Proc. of Workshop on Self-Organizing Maps, pages 197-202. Helsinki University of Technology, 1997.

49
M. Varsta, J. Heikkonen, and J. Del R. Millán.
Epileptic activity detection in EEG with neural networks.
In Proc. Engineering Application on Neural Networks (EANN), 1997.

50
M. Varsta and P. Koikkalainen.
Robot path generation for surface processing applications via neural networks.
In Proceedings of the SPIE 2904, pages 228-238. SPIE, 1996.

51
M. Varsta and P. Koikkalainen.
Surface modeling and robot path generation using self-organization.
In Proceedings of the ICPR'96, 1996.


Juha Merimaa
1/2/1998