Bibliography of SOM papers

Draft version 2006-03-27

Please submit new references to the e-mail address som-biblio (at) cis.hut.fi in BibTeX format.

Catherine Aaron, Corinne Perraudin, and Joseph Rynkiewicz. Curves based Kohonen map and adaptive classification: An application to the convergence of the european union countries. In Proceedings of the Workshop on Self-Organizing Maps (Wsom'03) Kitakyushu, Japan, September 2003.
E. H. L. Aarts and H. P. Stehouwer. Neural networks and the travelling salesman problem. In Stan Gielen and Bert Kappen, editors, Proc. Icann'93, International Conference on Artificial Neural Networks pages 950--955, London, UK, 1993. Springer.
M. A. Abdallah, T. I. Samu, and W. A. Grissom. Automatic target identification using neural networks. Proceedings of the Spie---The International Society for Optical Engineering 2588:556--65, 1995. (Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling Conf. Date: 23--26 Oct. 1995 Conf. Loc: Philadelphia, PA, USA Conf. Sponsor: SPIE).
H. Y. Abdelazim. A hybrid fuzzy-neural approach to the recognition of arabic script. In Proceedings of the 5th International Conference and Exhibition on Multi-Lingual Computing pages 2/3/1--14. Univ. Cambridge, Cambridge, UK, 1996.
H. S. Abdel-Aty-Zohdy and M. A. Zohdy. Analog/digital implementation of neural networks for pattern discovery and optimization in signal processing applications. In L. P. Caloba, P. S. R. Diniz, A. C. M. de Querioz and E. H. Watanabe, editors, 38th Midwest Symposium on Circuits and Systems. Proceedings volume 1, page 277. IEEE, New York, NY, USA, 1996.
H. S. Abdel-Aty-Zohdy and M. A. Zondy. Neural networks for pattern discovery and optimization in signal processing and applications. In F. Gagnon, editor, 1995 Canadian Conference on Electrical and Computer Engineering volume 1, pages 202--6, New York, NY, USA, 1995. Dept. of Electr. \& Syst. Eng. , Oakland Univ. , Rochester, MI, USA, IEE.
A. M. Abdi and H. H. Szu. Independent component analysis (ica) and self-organizing map (som) approach to multi detection system for network intruders. In Proceedings-of-the-Spie-The-International-Society-for-Optical-Engineering. 2003 2003.
Hasan Abdulkader and Mohamed Ibnkahla. Convergence properties of self-organizing maps applied for communication channel equalization. In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing---Proceedings volume 6, pages 3502--3505, Piscataway, NJ, 2000. Natl Polytechnics Inst of Toulouse, IEEE.
E. W. Abel, P. C. Zacharia, A. Forster, and T. L. Farrow. Neural network analysis of the EMG interference pattern. Medical Engineering \& Physics 18(1):12--17, 1996.
Takashi Abe, Tokio Kozuki, Yoko Kosaka, Atsushi Fukushima, Satoshi Nakagawa, and Toshimichi Ikemura. Self-organizing map reveals sequence characteristics of 90 prokaryotic and eukaryotic genomes on a single map. In Proceedings of the Workshop on Self-Organizing Maps (Wsom'03) Kitakyushu, Japan, September 2003.
Takashi Abe, Hideaki Sugawara, Shigehiko Kanaya, Makoto Kinouchi, and Toshimichi Ikemura. Self-Organizing Map (SOM) unveils and visualizes hidden sequence characteristics of a wide range of eukaryote genomes. Gene 365:27--34, Jan 2006.
T Abe, Shigehiko Kanaya, Makoto Kinouchi, Yuta Ichiba, Tokio Kozuki, and Toshimichi* Ikemura. Informatics for unveiling hidden genome signatures. Genome Research [Genome Res.]. Vol. 13, Shigehiko; Kinouchi, Makoto; Ichiba, Yuta; Kozuki, Tokio; Ikemura, Toshimichi* (4):693--702, 2003.
T Abe, S Kanaya, M Kinouchi, Y Ichiba, T Kozuki, and T Ikemura. A novel bioinformatic strategy for unveiling hidden genome signatures of eukaryotes: self-organizing map of oligonucleotide frequency. Genome Inform Ser Workshop Genome Info, S; Kinouchi, M; Ichiba, Y; Kozuki, T; Ikemura, T 2002.
T. Abe, S. Kanaya, M. Kinouchi, Y. Kosaka, and T. Ikemura. A novel bioinformatics strategy for unveiling hidden characteristics in genome sequences and searching in silico for genetic signal sequences . In The-8th-World-Multi-Conference-on-Systemics,-Cybernetics-and-Informatics. 2004: 105-12 Vol. 7 2004 .
M. A. Abidi, S. Yasuki, and P. B. Crilly. Image compression using hybrid neural networks. Digest of Technical Papers---IEEE International Conference on Consumer Electronics pages 70--71, 1994.
M. A. Abidi, S. Yasuki, and P. B. Crilly. Image compression using hybrid neural networks combining the auto-associative multi-layer perceptron and the \mboxself-organizing feature map. IEEE Transactions on Consumer Electronics 40(4):796--811, Nov 1994.
S. S. R. Abidi. Neural networks and child language development: a simulation using a modular neural network architecture. In Icnn 96. The 1996 Ieee International Conference on Neural Networks volume 2, pages 840--5. IEEE, New York, NY, USA, 1996.
S. S. R. Abidi. Using neural networks to explicate human category learning: a simulation of concept learning and lexicalisation. Malaysian Journal of Computer Science 10(2):60--71, 1997.
M. A. S. Aboelela. Short term forecasting of electric daily loads. In Mepcon 94. Middle East Power System Conference. Proceedings pages 13--17, Giza, Egypt, 1994. Fac. of Eng. , Cairo Univ. , Giza, Egypt, Cairo Univ.
J Abonyi, S Nemeth, C Vincze, and P Arva. Process analysis and product quality estimation by self-organizing maps with an application to polyethylene production. Computers in Industry LA English 52(3), DEC 2003.
F E Abou-Chadi, A Nashar, and M Saad. Automatic analysis and classification of surface electromyography. Front Med Biol Eng 11(1):13--29, 2001.
A. Abraham and V. Ramos. Web usage mining using artificial ant colony clustering and linear genetic programming . In 2003-Congress-on-Evolutionary-Computation-Ieee-Cat.-No.03TH8674. 2003: 1384-91 Vol.2 2003 .
M. Abramson and H. Wechsler. Competitive reinforcement learning for combinatorial problems. In Proceedings of the International Joint Conference on Neural Networks volume 4, pages 2333--2338. George Mason University, 2001.
A. J. Abrantes and J. S. Marques. A common framework for snakes and Kohonen networks. In C. A. Kamm, G. M. Kuhn, B. Yoon, R. Chellappa, and S. Y. Kung, editors, Neural Networks for Signal Processing III, Proceedings of the 1993 IEEE-SP Workshop pages 251--60, New York, NY, USA, 1993. INESC/ISEL, Lisbon, Portugal, IEEE.
A. J. Abrantes and J. S. Marques. Exploiting the common structure of SOM edge linking algorithms: an experimental study. In Proceedings of the International Conference on Image Processing volume 3, pages 624--7. IEEE Computer Society Press, Los Alamitos, CA, USA, 1995.
A. J. Abrantes and J. S. Marques. Unified approach to snakes, elastic nets and Kohonen maps. In Proceedings of the 1995 International Conference on Acoustics, Speech, and Signal Processing volume 5, pages 3427--30, New York, NY, USA, 1995. INESC, Polytech. Inst. of Lisbon, Portugal, IEEE.
A. Abuelgasim and S. Gopal. Classification of multiangle and multispectral ASAS data using a hybrid neural network model. In Igarss '94. International Geoscience and Remote Sensing Symposium. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation volume 3, pages 1670--2, New York, NY, USA, 1994. Dept. of Geogr. , Boston Univ. , MA, USA, IEEE.
G. Acciani, A. Bellomo, E. Chiarantoni, and A. Paradiso. Validation of neural network analysis to predict prognosis in breast cancer patients. In Proceedings of the 36th Midwest Symposium on Circuits and Systems volume 1, pages 453--6, New York, NY, USA, 1993. Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy, IEEE.
G. Acciani, E. Chiarantoni, M. Minenna, and F. Vacca. Multivariate data projection techniques based on a network of enhanced neural elements. In Icnn'96. The 1996 Ieee International Conference on Neural Networks volume 1, pages 211--216. IEEE, New York, NY, USA, 1996.
S. Acharya and R. Sadananda. Promoting software reuse using \mboxself-organizing maps. Neural Processing Letters 5(3):219--26, 1997.
R Adderley. The use of data mining techniques in operational crime fighting. In Intelligence and Security Informatics, Proceedings SE Lecture Notes in Computer Science LA English pages 418--425, 2004.
Edwin R. Addison and William Dedmond. Criteria for choosing connectionist paradigms for real-time data fusion and adaptive discrimination. Neural Networks 1(1 SUPPL):419, 1988.
S Addya, MA Keller, K Delgrosso, CM Ponte, R Vadigepalli, GE Gonye, and S Surrey. Erythroid-induced commitment of k562 cells results in clusters of differentially expressed genes enriched for specific transcription regulatory elements. Physiological Genomics LA English 19(1), SEP 16 2004.
MC Adorno and M Resta. A note on the sensitivity to parameters in the convergence of self-organizing maps. In Knowledge-Based Intelligent Information and Engineering Systems, PT 1, Proceedings SE Lecture Notes in Artificial Intelligence pages 1088--1094, 2003.
MC Adorno and M Resta. Reliability and convergence on Kohonen maps: An empirical study. In Knowledge-Based Intelligent Information and Engineering Systems, PT 1, Proceedings SE Lecture Notes in Computer Science pages 426--433, 2004.
Tadashi Ae and Reiji Aibara. Non von Neumann chip architecture---present and future. Ieice Trans. Elecronics E76-C(7):1034--1044, 1993.
Tadashi Ae, T. Yamaguchi, E. Monden, S. Kawabata, and M. Kamitani. Vector representation of user's view using self-organizing map . In Proceedings-of-the-Spie-The-International-Society-for-Optical-Engineering. 2004 2004 .
T. Ae, K. Sakai, and T. Toyosaki. Neural artificial intelligence system. In J. Parisi, S. C. Muller, and W. Zimmermann, editors, 14th International Congress on Cybernetics. Proceedings pages 471--6. Springer-Verlag, Berlin, Germany, 1996.
T. Ae. Neural networks and functional memories. Joho Shori 32(12):1301--1309, 1991. (in Japanese).
R. K. Aggarwal, Q. Y. Xuan, and A. T. Johns. Fault classification for double-circuits using self-organization mapping. In E. A. Fox and G. Marchionini, editors, 32nd Universities Power Engineering Conference. Upec '97 volume 1, pages 440--3. ACM, New York, NY, USA, 1996.
R. Aggarwal, Tao Lin, and Chul Hwan Kim . A novel approach to diagnosis of defective equipments in gis using self organizing map . 2004-Ieee-Power-Engineering-Society-General-Meeting-Ieee-Cat.-No.04CH37567. 2004: 362-8 Vol.1 2004 .
H. K. Aghajan, C. D. Schaper, and T. Kailath. Machine vision techniques for subpixel estimation of critical dimensions. Opt. Eng. 32(4):828--839, April 1993.
Dimitris K Agrafiotis and Huafeng Xu. A geodesic framework for analyzing molecular similarities. J Chem Inf Comput Sci 43(2):475--484, Mar 2003.
Dimitris K Agrafiotis. Stochastic proximity embedding. J Comput Chem 24(10):1215--1221, Jul 2003.
P. A. Aguilera, A. G. Frenich, J. A. Torres, H. Castro, J. L. M. Vidal, and M Canton. Application of the kohonen neural network in coastal water management: Methodological development for the assessment and prediction of water quality. Water Research 35(17):4053--4062, DEC 2001.
Stanley C. Ahalt, Ashok K. Krishnamurty, Prakoon Chen, and Douglas E. Melton. Competitive learning algorithms for vector quantization. Neural Networks 3(3):277--290, 1990.
S. C. Ahalt, T. P. Jung, and A. K. Krishnamurthy. Radar target identification using the learning vector quantization neural network. In Proc. Ijcnn'89, International Joint Conference on Neural Networks volume 2, page 605, Piscataway, NJ, 1989. IEEE Service Center.
S. C. Ahalt, T. Jung, and A. K. Krishnamurthy. A comparison of radar signal classifiers. In Proc. Ieee International Conference on Systems Engineering pages 609--612, Piscataway, NJ, 1990. IEEE Service Center.
A Ahmadi, S Omatu, T Fujinaka, and T Kosaka. Improvement of reliability in banknote classification using reject option and local pca. Information Sciences LA English 168(1-4), DEC 3 2004.
A. Ahmadi, S. Omatu, and T. Kosaka. A methodology to evaluate and improve reliability in paper currency neuro-classifiers. In Proceedings-2003-Ieee-International-Symposium-on-Computational-Intelligence-% in-Robotics-and-Automation.-Computational-Intelligence-in-Robotics-and-Automat% ion-for-the-New-Millennium-Cat.-No.03EX694. 2003: 1186-9 vol.3 volume 3, 2003.
A. Ahmadi, S. Omatu, and T. Kosaka. A pca based method for improving the reliability of bank note classifier machines. In Ispa-2004.-Proceedings-of-the-3rd-International-Symposium-on-Image-and-Signa% l-Processing-and-Analysis-Ieee-Cat.-No.03EX651. 2003: 494-9 Vol.1 2003.
A. Ahmadi, S. Omatu, and T. Kosaka. A reliable classification method for paper currency based on the non-linear pca . Transactions-of-the-Institute-of-Electrical-Engineers-of-Japan,-Part-C. Oct. 2003; 123-C(10): 1783-9 2003 .
A. Ahmadi, S. Omatu, and T. Kosaka. A reliable method for recognition of paper currency by approach to local pca. In Proceedings-of-the-International-Joint-Conference-on-Neural-Networks-2003-Ca% t.-No.03CH37464. 2003: 1258-62 vol.2 volume 2, 2003.
A. Ahmadi, S. Omatu, and T. Kosaka. Improvement of the reliability of bank note classifier machines. In 2004-Ieee-International-Joint-Conference-on-Neural-Networks-Ieee-Cat.-No.04C% H37541. 2004: 1313-16 vol.2 2004.
A. Ahmadi, S. Omatu, and M. Yoshioka. Off-line persian handwritten recognition using hidden markov models . Transactions-of-the-Institute-of-Electrical-Engineers-of-Japan,-Part-C. Dec. 2002; 122-C(12): 2128-34 2002 .
K. Ahmad, T. A. Bale, and D. Burford. Text classification and minimal-bias training vectors. In Ijcnn'99. International Joint Conference on Neural Networks. Proceedings volume 4, pages 2816--19, Piscataway, NJ, 1999. IEEE Service Center.
K Ahmad, M Casey, B Vrusias, and P Saragiotis. Combining multiple modes of information using unsupervised neural classifiers. In Multiple Classifier Systems, Proceeding SE Lecture Notes in Computer Science LA English pages 236--245, 2003.
K. Ahmad, B. L. Vrusias, and A. Ledford. Choosing feature sets for training and testing self-organising maps: A case study. Neural Computing \& Applications 10(1):56--66, 2001.
Mohamed N. Ahmed and Aly A. Farag. Two-stage neural network for volume segmentation of medical images. In Proceedings of Icnn'97, International Conference on Neural Networks volume III, pages 1373--1378. IEEE Service Center, Piscataway, NJ, 1997.
Mohamed Ahmed, Brian Cooper, and Shaun Love. Document image segmentation using a two-stage neural network. In Proceedings of Spie---The International Society for Optical Engineering volume 3962, pages 25--33, Bellingham, WA, 2000. Lexmark Int Inc, SPIE.
M. N. Ahmed and A. A. Farag. 3D segmentation and labeling using \mboxself-organizing Kohonen network for volumetric measurements on brain CT imaging to quantify TBI recovery. In H. Boom, C. Robinson, W. Rutten, M. Neuman, and H. Wijkstra, editors, Proceedings of the 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. `Bridging Disciplines for Biomedicine' volume 2, pages 738--9. IEEE, New York, NY, USA, 1997.
K Ahn and DCT Tu. Improvement of the control performance of pneumatic artificial muscle manipulators using an intelligent switching control method. Ksme International Journal 18(8):1388--1400, AUG 2004.
K Ahn and S Yokota. Application of discrete event control to the insertion task of electric line using 6-link electro-hydraulic manipulators with dual arm. Jsme International Journal Series C-Mechanical Systems Machine Elements and Manufacturing 46(1), MAR 2003.
J. Ahola, E. Alhoniemi, and O. Simula. Monitoring industrial processes using the \mboxself-organizing map. In SMCia/99 Proceedings of the 1999 Ieee Midnight---Sun Workshop on Soft Computing Methods in Industrial Applications pages 22--7, Piscataway, NJ, 1999. IEEE Service Center.
Ingo Ahrns, J\"org Bruske, and Gerald Sommer. On-line learning with dynamic cell structure. In F. Fogelman-Souli\'e and P. Gallinari, editors, Proc. Icann'95, International Conference on Artificial Neural Networks volume II, pages 141--146, Nanterre, France, 1995. EC2.
A. Aiello, D. Grimaldi, and P. Daponte. Non-intrusive estimation of the carrier frequency in GMSK signals. In Autotestcon (Proceedings) pages 621--625, Piscataway, NJ, 2000. Universita della Calabria, IEEE.
A. Aiello, D. Grimaldi, and S. Rapuano. GMSK neural network based demodulator. In Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001. IEEE, Piscataway, NJ, USA pages 2--6, 2001.
A Aiello and D Grimaldi. Frequency error measurement in gmsk signals in a multipath propagation environment. IEEE Transactions on Instrumentation and Measurement LA English 52(3), JUN 2003.
Song Aigno and Lu Jiren. Evolutionary programming based Kohonen network for passive sonar targets clustering analysis. Acta Electronica Sinica 26(7):128--32, 1998.
Guo Aike, Sun Haijian, and Yang Xian Yi. A multilayer neural network model for the perception of rotational motion. In Y. Zhong, Y. Yang, and M. Wang, editors, Proceedings of International Conference on Neural Information Processing (ICONIP `95) volume 1, pages 121--4, Beijing, China, 1995. Inst. of Biophys. , Acad. Sinica, Beijing, China, Publishing House of Electron. Ind.
Joao Aires-de Sousa and Johann Gasteiger. Prediction of enantiomeric selectivity in chromatography: Application of conformation-dependent and conformation-independent descriptors of molecular chirality. Journal of Molecular Graphics and Modelling 20(5):373--388, 2002.
J Aires-de Sousa and L Aires-de Sousa. Representation of dna sequences with virtual potentials and their processing by (seqrep) kohonen self-organizing maps. Bioinformatics 19(1), JAN 2003.
O. Aitsab, R. Pyndiah, and B. Solaiman. Joint optimization of multi-dimensional SOFM codebooks with qam modulations for vector quantized image transmission. In B. G. Mertzios and P. Liatsis, editors, Proceedings Iwispo '96. Third International Workshop on Image and Signal Processing on the Theme of Advances in Computational Intelligence pages 3--6. Elsevier, Amsterdam, Netherlands, 1996.
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P. Ajjimarangsee and T. L. Huntsberger. Unsupervised pattern recognition using parallel \mboxself-organizing feature maps. In Proc. 4th Conference on Hypercubes, Concurrent Computers and Applications volume II, pages 1093--1096, Los Altos, CA, 1989. D. O. E. ; US Air Force; NASA, Golden Gate Enterprises.
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Damminda Alahakoon, Saman K. Halgamuge, and Bala Srinivasan. Dynamic self-organizing maps with controlled growth for knowledge discovery. IEEE Transactions on Neural Networks 11(3):601--614, May 2000.
D. Alahakoon, S. K. Halgamuge, and B. Srinivasan. Self growing cluster development approach to data mining. IEEE International Conference on Systems, Man, and Cybernetics 3:2901--2906, 1998.
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Nigel Allinson, Hujun Yin, Lesley Allinson, and Jon Slack, editors. Advances in Self-Organising Maps. Springer, 2001.
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N. M. Allinson and Hujun Yin. Interactive and semantic data visualisation using \mboxself-organising maps. In IEE Colloquium Neural Networks in Interactive Multimedia Systems pages 1/1--10. IEE, London, UK, 1998.
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Teuvo Kohonen, Kari Torkkola, Makoto Shozakai, Jari Kangas, and Olli Vent\"a. Implementation of a large vocabulary speech recognizer and phonetic typewriter for Finnish and Japanese. In Proceedings of the European Conference on Speech Technology pages 377--380, Edinburgh, U. K., September 2--4 1987.
Teuvo Kohonen, Kari Torkkola, Makoto Shozakai, Jari Kangas, and Olli Vent\"a. Phonetic typewriter for Finnish and Japanese. In Proc. Icassp-88, International Conference on Acoustics, Speech, and Signal Processing pages 607--610, Piscataway, NJ, 1988. IEEE, IEEE Service Center.
Teuvo Kohonen. Automatic formation of topological maps of patterns in a self-organizing system. In Erkki Oja and Olli Simula, editors, Proc. 2Scia, Scand. Conf. on Image Analysis pages 214--220, Helsinki, Finland, 1981. Suomen Hahmontunnistustutkimuksen Seura r. y.
Teuvo Kohonen. Construction of similarity diagrams for phonemes by a self-organizing algorithm. Report TKK-F-A463, Helsinki University of Technology, Espoo, Finland, 1981.
Teuvo Kohonen. Hierarchical ordering of vectoral data in a self-organizing process. Report TKK-F-A461, Helsinki University of Technology, Espoo, Finland, 1981.
Teuvo Kohonen. Self-organized formation of generalized topological maps of observations in a physical system. Report TKK-F-A450, Helsinki University of Technology, Espoo, Finland, 1981.
Teuvo Kohonen. Analysis of a simple \mboxself-organizing process. Biol. Cyb. 44(2):135--140, 1982.
Teuvo Kohonen. Clustering, taxonomy, and topological maps of patterns. In Proc. 6Icpr, International Conference on Pattern Recognition pages 114--128, Washington, DC, 1982. IEEE Computer Soc. Press.
Teuvo Kohonen. Primaarisen informaation organisoituminen ja koodaus. In Proc. Seminar on Frames, Pattern Recognition Processes, and Natural Language Helsinki, Finland, 1982. The Linguistic Society of Finland. (in Finnish).
Teuvo Kohonen. Self-organizing formation of topologically correct feature maps. Biol. Cyb. 43(1):59--69, 1982.
Teuvo Kohonen. A simple paradigm for the self-organized formation of structured feature maps. In S. -i. Amari and M. A. Arbib, editors, Competition and Cooperation in Neural Nets, Lecture Notes in Biomathematics volume 45, pages 248--266. Springer, Berlin, Heidelberg, 1982. U. S. ---Japan Joint Seminar on Competition and Cooperation in Neural Nets, Kyoto, Japan, Feb. 15--19, 1982.
Teuvo Kohonen. Representation of information in spatial maps which are produced by self-organization. In E. Ba\csar, H. Flohr, H. Haken, and A. J. Mandell, editors, Synergetics of the Brain page 264, Berlin, Heidelberg, 1983. Springer.
Teuvo Kohonen. Self-organizing mappings for two-dimensional (visual) display of high-dimensional pattern spaces. In P. Johansen and P. W. Becker, editors, Proc. 3Scia, Scand. Conf. on Image Analysis pages 35--41, Lund, Sweden, 1983. Studentlitteratur.
Teuvo Kohonen. Self-organizing representations. In V\"ain\"o Kelh\"a Mauri Luukkala, and Turkka Tuomi, editors, Topics in Technical Physics, Acta Polytechnica Scandinavica, Applied Physics Series No. 138 pages 80--85. Finnish Academy of Engineering Sciences, Helsinki, Finland, 1983.
Teuvo Kohonen. Oppivien koneiden uusi tuleminen. S\"ahk\"o (Finland) 57(8):48--51, 1984. (in Finnish).
Teuvo Kohonen. Self-Organization and Associative Memory volume 8 of Springer Series in Information Sciences. Springer, Berlin, Heidelberg, 1984. 3rd ed. 1989.
Teuvo Kohonen. Self-organized formation of feature maps. In E. R. Caianiello and G. Musso, editors, Cybernetic Systems: Recognition, Learning, Self-Organization pages 3--12. Res. Studies Press, Letchworth, UK, 1984.
Teuvo Kohonen. Self-organizing feature maps and abstractions. In I. Plander, editor, Artificial Intelligence and Information-Control Systems of Robots, Proc. of the Third International Conference on Artificial Intelligence and Information-Control Systems of Robots pages 39--45, Amsterdam, Netherlands, 1984. Elsevier.
Teuvo Kohonen. Pattern-recognition applications of self-organizing feature maps. In Proc. 4Scia, Scand. Conf. on Image Analysis pages 97--103, Trondheim, Norway, 1985. Tapir Publishers.
Teuvo Kohonen. Representation of sensory information in Self-Organizing Maps. In Proc. Cognitiva 85 pages 585--591, Amsterdam, Netherlands, 1985. North-Holland.
Teuvo Kohonen. Learning vector quantization for pattern recognition. Report TKK-F-A601, Helsinki University of Technology, Espoo, Finland, 1986.
Teuvo Kohonen. Self-organization, memorization, and associative recall of sensory information by brain-like adaptive networks. Int. J. Quantum Chemistry 13:209--221, 1986.
Teuvo Kohonen. Adaptive, associative, and self-organizing functions in neural computing. Appl. Opt. 26(23):4910--4918, 1987.
Teuvo Kohonen. Representation of sensory information in self-organizing feature maps, and relation of these maps to distributed memory networks. In H. H. Szu, editor, Optical and Hybrid Computing, Spie Vol. 634 pages 248--259, Bellingham, WA, 1987. SPIE.
Teuvo Kohonen. Self-organized sensory maps and associative memory. In E. R. Caianiello, editor, Physics of Cognitive Processes pages 258--273. World Scientific, Singapore, 1987.
Teuvo Kohonen. Sensory maps and their self-organized formation. In Second World Congr. of Neuroscience, Book of Abstracts. Neuroscience, Supplement to Volume 22 page S100, Oxford, 1987. IBRO, Pergamon Press.
Teuvo Kohonen. State of the art in neural computing. In Proc. Icnn'87, International Conference on Neural Networks volume I, pages 79--90, Piscataway, NJ, 1987. IEEE, IEEE Service Center.
Teuvo Kohonen. Associative memories and representations of knowledge as internal states in distributed systems. In European Seminar on Neural Computing London, UK, 1988. British Neural Network Society.
Teuvo Kohonen. An introduction to neural computing. Neural Networks 1(1):3--16, 1988.
Teuvo Kohonen. Keinotekoisen ja luonnollisen ajattelun eroista. In A. Hautam\"aki, editor, Kognitiotiede pages 100--120. Gaudeamus, Helsinki, Finland, 1988. (in Finnish).
Teuvo Kohonen. Learning Vector Quantization. Neural Networks 1(Supplement 1):303, 1988.
Teuvo Kohonen. The 'neural' phonetic typewriter. Computer 21(3):11--22, 1988.
Teuvo Kohonen. Problems in practical pattern recognition. Neural Networks 1(Supplement 1):29, 1988.
Teuvo Kohonen. Representations of sensory information in self-organizing feature maps, and the relation of these maps to distributed memory networks. In R. M. J. Cotterill, editor, Computer Simulation in Brain Science pages 12--25. Cambridge University Press, Cambridge, UK, 1988.
Teuvo Kohonen. On the significance of internal representations in neural networks. In First IEE International Conference on Artificial Neural Networks page 1, London, UK, 1989. IEE.
Teuvo Kohonen. Speech recognition based on topology-preserving neural maps. In Igor Aleksander, editor, Neural Computing Architectures pages 26--40. North Oxford Academic Publishers/Kogan Page, Oxford, UK, London, 1989.
Teuvo Kohonen. Improved versions of Learning Vector Quantization. In Proc. Ijcnn-90, International Joint Conference on Neural Networks, San Diego volume I, pages 545--550, Piscataway, NJ, 1990. IEEE Service Center.
Teuvo Kohonen. Internal representations and associative memory. In R. Eckmiller, G. Hartman, and G. Hauske, editors, Parallel Processing in Neural Systems and Computers pages 177--182. Elsevier, Amsterdam, Netherlands, 1990.
Teuvo Kohonen. Notes on neural computing and associative memory. In J. L. McGaugh, N. M. Weinberger, and G. Lynch, editors, Brain Organization and Memory: Cells, Systems, and Circuits pages 323--337. Oxford University Press, New York, NY, 1990.
Teuvo Kohonen. Pattern recognition by the Self-Organizing Map. In Proc. Third Italian Workshop on Parallel Architectures and Neural Networks pages 13--18, Singapore, 1990. SIREN, World Scientific.
Teuvo Kohonen. Some practical aspects of the Self-Organizing Maps. In Proc. Ijcnn-90, International Joint Conference on Neural Networks, Washington, DC volume II, pages 253--256, Hillsdale, NJ, 1990. Lawrence Erlbaum.
Teuvo Kohonen. Statistical pattern recognition revisited. In R. Eckmiller, editor, Advanced Neural Networks pages 137--144. Elsevier, Amsterdam, Netherlands, 1990.
Teuvo Kohonen. Unsupervised learning algorithms. In Neural Networks: Biological Computers or Electronic Brains, Proc. International Conference Les Entr\'etiens de Lyon pages 29--36, Paris, France, 1990. Springer.
Teuvo Kohonen. The hypermap. In Proc. Ijcnn-91, International Joint Conference on Neural Networks, Singapore 1991.
Teuvo Kohonen. The hypermap architecture. In T. Kohonen, K. M\"akisara, O. Simula, and J. Kangas, editors, Artificial Neural Networks volume II, pages 1357--1360, Amsterdam, Netherlands, 1991. North-Holland.
Teuvo Kohonen. Self-Organizing Maps: Optimization approaches. In T. Kohonen, K. M\"akisara, O. Simula, and J. Kangas, editors, Artificial Neural Networks volume II, pages 981--990, Amsterdam, Netherlands, 1991. North-Holland.
Teuvo Kohonen. Workstation-based phonetic typewriter. In B. H. Juang, S. Y. Kung, and C. A. Kamm, editors, Proc. Ieee Workshop on Neural Networks for Signal Processing pages 279--288, Piscataway, NJ, 1991. IEEE, IEEE Service Center.
Teuvo Kohonen. An attempt to interpret the Self-Organizing Mapping physiologically. Report A16, Helsinki University of Technology, Laboratory of Computer and Information Science, 1992.
Teuvo Kohonen. Boosting the computing power in pattern recognition by unconventional architectures. Report A15, Helsinki Univ. of Technology, Lab. of Computer and Information Science, Espoo, Finland, October 1992.
Teuvo Kohonen. How to make a machine transcribe speech. In H. G. Schuster, editor, Applications of Neural Networks pages 25--34, Weinheim, Germany, 1992. VCH.
Teuvo Kohonen. Learning-Vector Quantization and the Self-Organizing Map. In J. G. Taylor and C. L. T. Mannion, editors, Theory and Applications of Neural Networks pages 235--242, London, UK, 1992. Springer.
Teuvo Kohonen. New developments of Learning vector Quantization and the Self-Organizing map. In Symp. on Neural Networks; Alliances and Perspectives in Senri Osaka, Japan, 1992. Senri Int. Information Institute.
Teuvo Kohonen. Generalizations of the Self-Organizing Map. In Proc. Ijcnn-93, International Joint Conference on Neural Networks, Nagoya volume I, pages 457--462, Piscataway, NJ, 1993. JNNS, IEEE Service Center.
Teuvo Kohonen. Physiolocigal interpretation of the self-organizing map algorithm. Neural Networks 6(7):895--905, 1993.
Teuvo Kohonen. Things you haven't heard about the Self-Organizing Map. In Proc. Icnn'93, International Conference on Neural Networks pages 1147--1156, Piscataway, NJ, 1993. IEEE, IEEE Service Center.
Teuvo Kohonen. Physiological model for the Self-Organizing Map. In Proc. Wcnn'94, World Congress on Neural Networks volume III, pages 97--102, Hillsdale, NJ, 1994. INNS, Lawrence Erlbaum.
Teuvo Kohonen. What generalizations of the Self-Organizing Map make sense. In Maria Marinaro and Pietro G. Morasso, editors, Proc. Icann'94, International Conference on Artificial Neural Networks volume I, pages 292--297, London, UK, 1994. Springer.
Teuvo Kohonen. The Adaptive-Subspace SOM (ASSOM) and its use for the implementation of invariant feature detection. In F. Fogelman-Souli\'e and P. Gallinari, editors, Proc. Icann'95, International Conference on Artificial Neural Networks volume I, pages 3--10, Nanterre, France, 1995. EC2.
Teuvo Kohonen. Chapter 2. emergence of invariant-feature detectors in self-organization. In M. Palaniswami, Y. Attikiouzel, R. J. Marks II, David Fogel, and T. Fukuda, editors, Computational Intelligence---A Dynamic System Perspective pages 17--31. IEEE Press, New York, 1995.
Teuvo Kohonen. Self-Organizing Maps volume 30 of Springer Series in Information Sciences. Springer, Berlin, Heidelberg, 1995. (Second Extended Edition 1997).
Teuvo Kohonen. Exploration of very large databases by self-organizing maps. In Proceedings of Icnn'97, International Conference on Neural Networks pages PL1--PL6. IEEE Service Center, Piscataway, NJ, 1997.
Teuvo Kohonen. Self-organization of very large document collections: State of the art. In L. Niklasson, M. Bod\'en, and T. Ziemke, editors, Proceedings of Icann98, the 8th International Conference on Artificial Neural Networks volume 1, pages 65--74. Springer, London, 1998.
Teuvo Kohonen. Self-organizing map. Neurocomputing 21(1):1--6, 1998.
Teuvo Kohonen. Data mining by the self-organising map method. In B. Bouchon-Meunier, R. R. Yager, and L. A. Zadeh, editors, Uncertainty in Intelligent and Information Systems volume 20 of Advances in Fuzzy Systems---Applications and Theory pages 3--22. World Scientific, 2000.
Teuvo Kohonen. A look into the self-organizing maps. In H. Bothe and R. Rojas, editors, Proceeding of the Icsc Symposia on Neural Computation (NC'2000) May 23-26, 2000 in Berlin, Germany. Helsinki University of Technology, Neural Networks Research Centre, ICSC Academic Press, 2000.
Teuvo Kohonen. New lines in the study of self-organizing maps. In 6 th International Conference on Soft Computing, IIZUKA2000, Iizuka, Fukuoka, Japan, October 1--4, 2000 2000. Proceedings in CD-ROM.
Teuvo Kohonen. Self-organizing maps of massive document collections. In Proceedings of the International Joint Conference on Neural Networks volume 2, pages 3--9, Piscataway, NJ, 2000. Helsinki Univ of Technology, IEEE.
Teuvo Kohonen. Evolution of ideas for self-organizing neural networks. In Asian Pacific Symposium on Life Science and Systems Engineering, 25--26 July, 2001 pages 36--8, 2001.
Teuvo Kohonen. Perspectives on the research of artificial neural networks. International Journal of Computer Research, Special Issue: Past, Present and Future of Neural Networks 10(2):127--38, 2001. Guest Editors: P.G. Anderson and G. Antoniou and V. Mladenov and E. Oja and M. Paprzycki and N. C. Steele.
Teuvo Kohonen. Voivatko koneet oppia omaehtoisesti. In Studia Generalia 2000, Matematiikka, Kulttuurimme perusta --- ja trauma pages 81--92. Helsingin vapaan sivistysty\"on toimikunta, 2001.
Teuvo Kohonen. The som: how was it invented, what is its connection to the brain, and how can it be generated. In Proceedings of the Workshop on Self-Organizing Maps (Wsom'03) Kitakyushu, Japan, September 2003.
T. Kohonen and R. Hari. Where the abstract feature maps of the brain might come from. Trends in Neurosciences 22:135--139, 1999.
T. Kohonen, S. Kaski, K. Lagus, J. Saloj�rvi, V. Paatero J. Honkela, and A. Saarela. Self organization of a massive text document collection. In E. Oja and S. Kaski, editors, Kohonen Maps pages 171--182. Elsevier, Amsterdam, 1999.
T. Kohonen, S. Kaski, K. Lagus, J. Saloj\"arvi, J. Honkela nad V. Paatero, and A. Saarela. Self-organization of a massive document collection. IEEE Transactions on Neural Networks 11:574--85, 2000.
T. Kohonen, S. Kaski, and J. Venna. Automatic Coloring of Data According to Its Cluster Structure. 1997.
T. Kohonen, E. Oja, O. Simula, A. Visa, and J. Kangas. Engineering applications of the \mboxself-organizing map. Proceedings of the Ieee 84(10):1358--84, 1996.
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