ΔΗΜΟΣΙΕΥΣΕΙΣ

• Bevil R. Conway and Margaret S. Livingstone, "Perspectives on science and art", Current Opinion in Neurobiology, Volume 17, Issue 4, August 2007, Pages 476-482, Elsevier.
• Sylvie Duvernoy, Paul L. Rosin, "The compass, the ruler and the computer", Nexus VI, Architecture and Mathematics, pp. 21-34, Kim Williams Books.
• A. Ukovich, G. Ramponi, H. Doulaverakis, and I. Kompatsiaris, "Shredded document reconstruction using MPEG-7 standard descriptors", Proc. 4th IEEE Symposium on Signal Processing and Information Technology (ISSPIT 2004), December 2004, Rome, Italy.
• M. Barni, A. Pelagotti, A. Piva, "Image Processing for the Analysis and Conservation of Paintings: Opportunities and Challenges", IEEE Signal Processing Magazine, vol. 22, no. 5, September 2005, pp. 141-144.
• Jia Hai-yan, Zhu Liang-jia, Zhou Zong-tan, Hu De-wen, "A Shape Matching Method for Automatic Reassembly of Paper Fragments", Computer Simulation, 2006 Vol.23, No.11, pp.180-183.
• Biswas A., Bhowmick P., Bhattacharya B.B, "Reconstruction of torn documents using contour maps", IEEE International Conference on Image Processing, ICIP 2005, 11-14 Sept. 2005, Vol. 3, pp. III- 517-20, ISBN: 0-7803-9134-9.
• Stanco F., Tenze L., Ramponi G., de Polo A., "Virtual restoration of fragmented glass plate photographs", Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference, MELECON 2004, 12-15 May 2004, Vol. 1, pp. 243- 246, ISBN: 0-7803-8271-4.
• Mauro Barni, Anna Pelagotti and Alessandro Piva, "Image Processing for the Analysis and Conservation of Paintings: Opportunities and Challenges", IEEE Signal Processing Magazine, pp. 141-144, September 2005.
• Liangjia Zhu, Zongtan Zhou, and Dewen Hu, "Globally Consistent Reconstruction of Ripped-Up Documents", IEEE Trans. on Pattern Ananlysis and Machine Inteligence, TPAMI-0473-0606, accepted for publicion.

• D. Madeley, "Automatic Computer Classification of Solo Musical Instruments", thesis, University of Western Australia, Faculty of Engineering Computing and Mathematics, 25 Oct 2007.
• J.A. Haitsma, "Audio fingerprinting - A new technology to identify music", M.Sc. Thesis, TUE, Eindhoven, 27 August 2002.
• A.A.C. Kalker, J.A. Haitsma, J. Oostveen, Issues with Digital Watermarking and Perceptual Hashing", SPIE Conference on Multimedia Systems & Applications, August 2001.
• Jaap Haitsma, Ton Kalker, "A Highly Robust Audio Fingerprinting System", International Symposium on Music Information Retrieval (ISMIR) 2002.
• Jaap Haitsma, Ton Kalker, "A Highly Robust Audio Fingerprinting System with an Efficient Search Strategy", Journal of New Music Research, Vol. 32 (2), pp. 211-221, June 2003.
• S. Sukittanon, L.E. Atlas, J.W. Pitton, "Modulation-Scale Analysis for Content Identification", IEEE Transactions on Signal Processing, 52 (10), pp. 3023-3035, Part 2, Oct 2004.
• M. Clausen, F. Kurth, M. Muller, A. Ribbrock., "Content-based retrieval in digital music libraries", Lecture Notes on Computer Science 3232, pp. 292-303, 2004, Springer.
• Clausen M., Kurth F., "A unified approach to content-based and fault-tolerant music recognition", IEEE Transactions on Multimedia 6 (5), pp. 717-731, Oct 2004.
• Jin S. Seo, Jaap Haitsma, Ton Kalker, Chang D. Yoo, "A robust image fingerprinting system using the Radon transform", Signal Processing: Image Communication 19 (4), pp. 325–339, Elsevier, 2004.
• Bardeli, R., Kurth, F., "Robust Identification of Time-Scaled Audio", Proceedings of the AES 25th International Conference on Metadata for Audio, London, UK, 2004.
• Clausen M, Kurth F, Muller M, et al., "Content-based retrieval in digital music libraries", Lecture Notes on Computer Science, 3232, pp. 292-303, 2004.
• Jian Yuan, Guo-Hui Li, Xu Lai, "A highly automatic underwater target classifier system", Proceedings of International Conference on Machine Learning and Cybernetics, Vol. 5, pp. 2666 - 2671, 26-29 Aug. 2004.
• J. Haitsma, T. Kalker, "Speed-change resistant audio fingerprinting using auto-correlation", Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Hong Kong, 2003.
• Clausen, M.; Kurth, F., "A unified approach to content-based and fault tolerant music identification", Second International Conference on Web Delivering of Music (WEDELMUSIC 2002), pp. 56 – 65, 9-11 Dec. 2002.
• Miller, M.L. Rodriguez, M.A. Cox, I.J., "Audio fingerprinting: nearest neighbor search in high dimensional binary spaces", IEEE Workshop on Multimedia Signal Processing, 9-11 Dec. 2002, pp. 182- 185, ISBN: 0-7803-7713-3.
• Pikrakis, A. Theodoridis, S. Kamarotos, D., "Classification of musical patterns using variable duration hidden Markov models", IEEE Transactions on Audio, Speech and Language Processing, Sept. 2006, Vol. 14, Issue: 5, pp. 1795- 1807, ISSN: 1558-7916.
• Haitsma, J. Kalker, T. Oostveen, J., "An efficient database search strategy for audio fingerprinting", IEEE Workshop on Multimedia Signal Processing, 9-11 Dec. 2002, pp. 178- 181, ISBN: 0-7803-7713-3.
• J. Giesbrecht, "A monitoring tool for HF frequency management and license enforcement", 10th IET International Conference on Ionospheric Radio Systems and Techniques, (IRST 2006)(CP517), p. 263 -267, London, UK, 18-21 July 2006, ISBN: 0 86341 659 4.
• Patent Inventor: Eric Scheirer, Patent Agent: Epstein Drangel Bazerman & James, LLP - New York, NY, US, Applicaton #: 20060229878 Class: 704273000 (USPTO), "Waveform recognition method and apparatus".
• David Robinson, Victor Garcia, "Process and product for selectively processing data accesses",United States Patent 20050198061, Publication Date:09/08/2005.
• Jian Yuan and Guo-Hui Li, "Underwater Target Recognition with Sonar Fingerprint", Lecture Notes in Computer Science, Springer Berlin/Heidelberg, ISSN 0302-9743 (Print) 1611-3349 (Online), Volume 3930/2006, Advances in Machine Learning and Cybernetics, DOI 10.1007/11739685, ISBN 978-3-540-33584-9, Pattern Recognition (II), DOI 10.1007/11739685_103, Pages 984-993.
• B. G. Crockett, M. J. Smithers, "Comparing audio using characterizations based on auditory events", United States Patent 7283954, Application Number:10/478397, Publication Date:10/16/2007.
• S. Sukittanon, N. Dhillon, K. Fai Cheung, L. Cazzanti, V. Venkatachalam, M. Wells, "Automatic identification of sound recordings", United States Patent 7328153, Application No. 10200034, Publication Date: 5/02/2008.
• Michael Betser, Patrice Collen, Jean-Bernard Rault, "Audio identification using sinusoidal modelling and application to jingle detection", ISMIR 2007, p.139-143.
• B. Kostek, "Management of Musical Data", International Workshop: Human Supervision and Control in Engineering and Music, 21 - 24 September 2001 Kassel, Germany.
• B. Kostek, "Expert System for Musical Style Recognition", International Workshop: Human Supervision and Control in Engineering and Music, 21 - 24 September 2001 Kassel, Germany.
• A. Wieczorkowska, "Audio content description in sound databases", in "Web Intelligence: Research and Development", (Eds. N. Zhong, Y. Yao, J. Liu, S. Ohsuga), Proceedings of WI'01, Maebashi City, Japan, LNCS/LNAI 2198, Springer-Verlag, 2001, 175-183.
• E. Allamanche, J. Herre, O. Helmuth, B. Frba, T. Kasten, and M. Cremer, Fraunhofer IIS-A, Germany "Content-based Identification of Audio Material Using MPEG-7 Low Level Description", 2nd Annual International Symposium on Music Information Retrieval 2001, Indiana University Bloomington, Indiana, USA October 15-17, 2001.
• P. Cano, E. Batlle, H. Mayer, and H. Neuschmied, "Robust sound modeling for song detection in broadcast audio," in Proc. AES 112th Int. Conf., Munich, Germany, May 2002.
• Pedro Cano, Eloi Batlle, Ton Kalker, Jaap Haitsma, "A Review of Algorithms for Audio Fingerprinting", in Proc. MMSP 2002.
• V. Venkatachalam, L. Cazzanti, N. Dhillon, et al, "Automatic identification of sound recordings", IEEE Signal Processing Magazine, Vol. 21 (2), pp. 92-99, Mar 2004.
• G.R. Schmidt, M.K. Belmonte, "Scalable, content-based audio identification by multiple independent psychoacoustic matching", Journal of Audio Engineering Society, Vol. 52 (4), pp. 366-377, 2004.
• Matthias Gruhne, "Robust Audio Identification for Commercial Applications", International Workshop for Technology, Economy, Social and Legal Aspects of Virtual Goods 2003, May 22-24, 2003, in Ilmenau, Germany.
• Kostek B., "Application of soft computing to automatic music information retrieval", Journal of the American Society for information Science and technology, 55 (12), pp. 1108-1116, Oct 2004.
• Schmidt G.R., Belmonte M. K., "Scalable, content-based audio identification by multiple independent psychoacoustic matching", Journal of Audio Engineering Society 52 (4), pp. 366-377, Apr 2004.
• B. Kostek, A. Czyzewski, "Representing musical instrument sounds for their automatic classification", Journal of Audio Engineering Society, Vol. 49 (9), pp. 768-785, Sep 2001.
• Alicja A. Wieczorkowska and Zbigniew W. Ras, "Audio Content Description in Sound DataBases", Lecture Notes in Computer Science, Volume 2198, pp. 175, 2001. Publisher: Springer-Verlag GmbH, ISSN: 0302-9743.
• Jin Soo Seo, Jaap Haitsma and Ton Kalker, "Linear Speed-Change Resilient Audio Fingerprinting", Proc. 1st IEEE Benelux Workshop on Model based Processing and Coding of Audio (MPCA-2002), Leuven, Belgium, November 15, 2002.
• Mototsugu Abe and Masayuki Nishiguchi, "Self-optimized Spectral Correlation Method for Background Music Identification", Technical Report of The Institute of Electronics, Information and Communication Engineers of Japan (IEICE), Pattern Recognition and Media Understanding (PRMU 2001), 209, pp. 25-30, 2001 (in Japanese).
• Kostek, B., "Musical instrument classification and duet analysis employing music information retrieval techniques", Proceedings of the IEEE, Vol. 92, Issue 4, pp. 712- 729, Apr 2004.
• Ioannis Karydis, Alexandros Nanopoulos, Apostolos N. Papadopoulos, Yannis Manolopoulos. "Audio Indexing for Efficient Music Information Retrieval", 11th International Multimedia Modelling Conference (MMM ‘05), pp. 22-29, 2005.
• M. Carre, "Systemes de Recherche de Documents Musicaux par Chantonnement", These de Doctorat, Ecole Nationale Superieure des Telecommunications.
• P. Cano, E. Batlle, T. Kalker, J. Haitsma, "A Review of Audio Fingerprinting", Journal of VLSI Signal Processing Systems, Vol. 41 , Issue 3 (November 2005), pp. 271 – 284, ISSN:0922-5773.
• Herre, J. Hellmuth, O. Cremer, M., "Scalable robust audio fingerprinting using MPEG-7 content description", IEEE Workshop on Multimedia Signal Processing, 9-11 Dec. 2002, pp. 165- 168, ISBN: 0-7803-7713-3.
• Pedro Cano, "Content–based audio search: From fingerprinting to semantic audio retrieval", PhD dissertation, Technology Department of Pompeu Frabra University, Doctorate program of Science and Digital Communication, 2006.
• Th. Kastner, E. Allamanche , J. Herre, O. Hellmuth, Markus Cremer, H. Grossmann, "MPEG-7 Scalable Robust Audio Fingerprinting", AES 112th Convention, Munich, Gernany, 10–13 May 2002.
• A Nanopoulos, Y Manolopoulos, Processing and Managing Complex Data for Decision Support, Chapter XII: Mining in Music Databases, Editors: Jerome Darmont, Omar Boussaid, ISBN:1591406552, IGI Publication, 2006.
• P. Herrera , X. Amatriain , E. Batlle , X. Serra, "Towards instrument segmentation for music content description: a critical review of instrument classification techniques", International Symposium on Music Information Retrieval ISMIR 2000, Plymouth, MA, October 23-25, 2000.
• P. Herrera, G. Peeters, S. Dubnov, "Automatic Classification of Musical Instrument Sounds", Journal of New Music Research Vol. 32 (1), 2003.
• Tong Zhang, "Method and apparatus for classifying a musical piece containing plural notes", Patent number: 6476308, Issue date: 5 Nov 2002.

• G. A. Papakostas, Y. S. Boutalis, D.A. Karras, B. G. Mertzios, "A new class of Zernike moments for computer vision applications", Information Sciences: An International Journal archive, Volume 177, Issue 13, (July 2007), Pages 2802-2819.
• Q. Zhu, S. Tan, Y. Qiao, "A High-Order Recursive Quadratic Learning Algorithm", Algorithms and Computational Kernels, Lecture Notes in Computer Science, Publisher: Springer-Verlag GmbH, ISSN: 0302-9743, Volume 3514 / 2005,Chapter: p. 90, DOI: 10.1007/11428831_12.
• Zhangbing, Yuanshouqi, Lihong, Chengli Jianghuifeng, "Crop optimization irrigation model by genetic algrithms of best saving tactics", Trans of the Chin Society of Agricultural Eng, Vol. 44, Issue 2, pp. 301-304, 2004.
• Y. Guo, "Advanced MIMO-CDMA Receiver for Interference Suppression: Algorithms, System-on-Chip Architectures and Design Methodology", phD thesis, Rice University, Houston, Texas, May 2005.
• V.I. Djigan, "Multichannel parallelizable sliding window RLS and fast RLS algorithms with linear constraints", Signal Processing, Volume 86, Issue 4, April 2006, Pages 776-791.
• V.I. Djigan , "Fast RLS with parallel computations" IEEE 7th CAS Symposium on Emerging Technologies: Circuits and Systems for 4G Mobile Wireless Communications, 2005, ETW '05, 23-24 June 2005, pp. 42- 45.
• A. Ittycheriah, R.J. Mammone, "Detecting User Speech in Barge-In over Prompts Using Speaker Identification Methods", Sixth European Conference on Speech Communication and Technology, (EUROSPEECH'99), Budapest, Hungary, pp. 327-330, September 5-9, 1999.
• G. Nikolakopoulos and A. Tzes, "Lattice l-step Ahead Output Uncertainty Predictor for Auto-Regressive Systems", Proceedings of the 11th Mediterranean Conference on Control and Automation, MED2003, June 17-20, 2003, Rhodes, Greece.
• Borgatti M., Felici M., Ferrari A., Guerrieri R., "A low-power integrated circuit for remote speech recognition", IEEE Journal of Solid-State Circuits, Volume: 33, Issue: 7, pp. 1082-1089, Jul 1998.
• B.D. McCullough, "Algorithm choice for (partial) autocorrelation functions", Journal of Economic and Social Measurement, Publisher IOS Press, Issue Volume 24, Numbers 3-4, Pages 265-278, 1998.
• A.Y. Zomaya, A. Yates, S. Olariu, "Fault-Tolerant Recursive Least-Squares Computations on a Mesh-Connected Parallel Processor", Journal of Parallel and Distributed Computing, Volume 62 , Issue 7 (July 2002), pp. 1142-1167.
• N Glaros, G Carayannis, "Exact and first-order error analysis of the Schur and split Schur algorithms: theory and practice", IEEE Transactions on Signal Processing, Page 1, Vol. 42, No. 8, August 1994.

• P. Foresto, M. D'Arrigo, L. Racca, F. Filippini, R. Gallo, J. Valverde, R. J. Rasia, "Comparative analysis of aggregate shapes by digitized microscopic images. Application to hypertension", 11th European Symposium on Clinical Hemorheology and Microcirculation, Vol 26(3), 2002, PP. 137–144.
• A.L. Alamo, S.J. Melnick, "Clinical Application of Four and Five-Color Flow Cytometry Lymphocyte Subset Immunophenotyping" Communications in Clinical Cytometry, Volume 42, Issue 6 , Pages 363-370, 2000.
• Z. Marton, G. Kesmarky, J. Vekasi, A. Cser, R. Russai, B. Horvath , K. Toth, "Red blood cell aggregation measurements in whole blood and in fibrinogen solutions by different methods", Clinical Hemorheology and Microcirculation, Vol 24, No 2, pp. 75–83, 2001.
• V. Rouffiac, P. Peronneau, J.P. Guglielmi, M. Del-Pino, N. Lassau, J. Levenson, "Comparison of new ultrasound index with laser reference and viscosity indexes for erythrocyte aggregation quantification", Ultrasound in Medicine and Biology, Volume 29, Number 6, June 2003, pp. 789-799, Publisher: Elsevier Science.
• Jayavanth S. and Singh M., "Computerized analysis of erythrocyte aggregation from sequential video-microscopic images under gravitational sedimentation", Innovation Technol. Med. Biol., Vol 25 (2), July 2004, pp. 61-68.
• I. Turkoglu, "An intelligent system for diagnosis of the heart valve diseases with wavelet packet neural networks", Computers in Biology and Medicine, Volume 33, Issue 4, Page 319, Elsevier.
• I. Turkoglu, A. Arslanb and E. Ilkay, "An expert system for diagnosis of the heart valve diseases", Expert Systems with Applications, Volume 23, Issue 3, 1 October 2002, Pages 229-236, Elsevier.
• E. Comak, A. Arslan, I. Turkoglu, "A decision support system based on support vector machines for diagnosis of the heart valve diseases", Computers in Biology and Medicine, Volume 37, Issue 1, Pages 21-27, Elsevier.
• Fatma Dirgenalia and Sadik Kara, "Recognition of early phase of atherosclerosis using principles component analysis and artificial neural networks from carotid artery Doppler signals", Expert Systems with Applications, Volume 31, Issue 3, October 2006, Pages 643-651, Elsevier.
• Ibrahim Turkoglu, Ahmet Arslan, Erdogan Ilkay, "A wavelet neural network for the detection of heart valve diseases", Expert Systems, Volume 20, Issue 1, Page 1-7, February 2003, Blackwell Publishing.
• A. Sengur, "An expert system based on principal component analysis, artificial immune system and fuzzy kk-NN for diagnosis of valvular heart diseases", Computers in Biology and Medicine, Volume 38, Issue 3, Pages 329-338, Elsevier.
• Mahmut Tokmakci, "A Classification System for Stenosis from Mitral Valve Doppler Signals Using Adaptive Network based Fuzzy Inference System", Journal Journal of Medical Systems, Volume 31, Number 5, pp. 329-336, October 2007, Publisher Springer Netherlands.