Dr. Alon Schclar, PhD אלון שקלר     ד"ר

Senior Lecturer

 

School of Computer Science
The Academic College of Tel Aviv-Yaffo
2 Rabenu Yerucham St.,

P.O.B 8401, Tel-Aviv 61083, Israel

Phone: +972-3-6803408, Fax: +972-3-6803342



═══════════════════════════════════════════════════════════════════════

Courses

·      Data Mining
·      Advanced Programming in C Language
·      Object Oriented Programming and C++
·      Data Structures and Algorithms
·      Topics in unsupervised learning
·      Information Extraction
·      From Data to Knowledge
·      Computer Architecture
·      Computer Structure

 
═══════════════════════════════════════════════════════════════════════
 

Research Interests

·      Unsupervised machine learning
·      Pattern recognition
·      Image processing
·      Signal processing
·      Recommender systems
·      Cybernetics

 
═══════════════════════════════════════════════════════════════════════

Publications

Refereed journal papers

 

1.     A. Schclar, L. Rokach, A. Amit, "Ensembles of Classifiers based on Dimensionality Reduction", Intelligent Data Analysis, Vol. 21(3), pp. 467–489, June 2017.

2.     A. Nemtzov, A. Averbuch, A. Schclar, "Matrix Compression using the Nyström Method", Intelligent Data Analysis, Vol. 20(5), pp. 997–1019, Sep. 2016.

3.     E. Menahem, A. Schclar, L. Rokach, Y. Elovici, "Securing Your Transactions: Detecting Anomalous Patterns in XML Documents", Information Sciences, Vol. 326, pp. 71–88, Jan. 2016.

4.     L. Rokach, A. Schclar, E. Itach, "Ensemble Methods for Multi-label Classification", Expert Systems with Applications, Vol. 41(16), pp. 7507-7523, Nov. 2014.

5.     A. Schclar, L. Rokach, A. Abramson, Y. Elovici, "User Authentication Based on Representative Users", IEEE Transactions on Systems, Man, and Cybernetics, Part C, 42(6):1669-1678, Nov. 2012.

6.     C. Feher, Y. Elovici, R. Moskovitch, L. Rokach, A. Schclar, "User Identity Verification via Mouse Dynamics", Information Sciences, Vol. 201, pp. 19–36, Oct. 2012.

7.     L. Rokach, A. Schclar, "k-Anonymized Reducts", International Journal of Granular Computing, Rough Sets and Intelligent Systems, Vol. 2, No. 3, pp. 196210, 2012.

8.     A. Averbuch, N. Rabin, A. Schclar, and V. Zheludev, "Dimensionality reduction for detection of moving vehicles", Pattern Analysis and Applications, Vol. 15, pp. 19–27, Feb. 2012.

9.     A. Schclar, A. Averbuch, K. Hochman, N. Rabin, and V. Zheludev, "A diffusion framework for detection of moving vehicles", Digital Signal Processing, Vol. 20(1), Jan. 2010, pp. 111-122.

10.          M. A. Golub, M. Nathan, A. Averbuch, E. Lavi, V. A. Zheludev, and A. Schclar, "Spectral multiplexing method for digital snapshot spectral imaging,", Applied Optics, Vol. 48, pp. 1520-1526, 2009.

11.          A. Averbuch, V. Zheludev, N. Rabin, A. Schclar, "Wavelet based acoustic detection of moving vehicles ", Multidimensional Systems and Signal Processing, Vol. 20(1), p. 55, 2009.

12.          A. Averbuch, A. Schclar, D. Donoho, “Deblocking of Block-Transform Compressed Images Using Weighted Sums of Symmetrically Aligned Pixels”, IEEE Transactions on Image Processing, Vol. 14(2), pp. 200-212, Feb. 2005.

 

Peer reviewed conference papers and chapters in collective volumes – Lecture notes, etc.

13.        K. Hochman, A. Averbuch, A. Schclar, and R. Saabni, "A Manifold Learning Framework for the Detection of Cardiac Disorders in Acoustic Signals", (to appear) Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), Valletta, Malta, 22-24 February, 2020.

 

14.        A. Schclar and A. Averbuch, "Unsupervised Detection of Sub-pixel Objects in Hyper-Spectral Images via Diffusion Bases", Proceedings of the 11th International Conference on Neural Computation Theory and Applications (NCTA 2019), Vienna, Austria, 17-19 September, 2019.

 

15.        A. Schclar and A. Averbuch, "A Diffusion Approach to Unsupervised Segmentation of Hyper-Spectral Images". In Studies in Computational Intelligence, Vol. 829, (Editors: C. Sabourin, J. Merelo, K. Madani, K. Warwick), (Extended versions of selected papers from IJCCI 2017). Springer, 2019.

 

16.        A. Schclar and A. Averbuch, "Unsupervised Segmentation of Hyper-Spectral Images via Diffusion Bases ", Proceedings of the 9th International Joint Conference on Computational Intelligence  (IJCCI 2017), Funchal, Portugal, 1-3 November, 2017.

 

17.        A. Schclar and A. Averbuch, "Diffusion Bases Dimensionality Reduction", Proceedings of the 7th International Conference on Neural Computation Theory and Applications (NCTA 2015), Lisbon, Portugal, 11-14 November, 2015.

 

18.        T. Porat, A. Schclar, B. Shapira, "MATE – A Mobile Analysis Tool for Usability Experts",  ACM SIGCHI 2013, Paris, France, 27 April – 2 May, 2013.

 

19.        A. Bar, L. Rokach, G. Shani, B. Shapira, and A. Schclar, "Improving Simple Collaborative Filtering Models Using Ensemble Methods", accepted to the 11th  International Workshop on Multiple Classifier Systems (MSC 2013), Nanjing, China, May 15-17, 2013.

20.        A. Schclar, L. Rokach, A. Amit, "Diffusion Ensemble Classifiers", Proceedings of the 4th International Conference on Neural Computation Theory and Applications (NCTA 2012), Barcelona, Spain, October 5-7, 2012.

21.        L. Rokach, A. Schclar, "k-Anonymized Reducts", IEEE conference on Granular Computing (GrC 2010), San Jose, CA, USA, August 14-16, 2010.

22.        A. Gershman, A. Meisels, K. Lüke, L. Rokach, A. Schclar, and A. Sturm, "A Decision Tree Based Recommender System", 10th International Conference on Innovative Internet Community Systems (IICS 2010), Bangkok, Thailand, June 3-5, 2010.

23.        A. Schclar, A. Meisels, A. Gershman, L. Rokach, A. Tsikinovsky and L. Antwarg, "Ensemble Methods for Improving the Performance of Neighborhood-based Collaborative Filtering", Proceedings of the ACM Conference on Recommender Systems (RecSys 2009), New York City, NY, USA, October 22-25, 2009.

24.        A. Schclar, L. Rokach, "Random Projection Ensemble Classifiers", Lecture Notes in Business Information Processing, Proceedings of the 11th Conference on Enterprise Information Systems (ICEIS 2009), Milan, Italy, May 6-10, 2009.

25.        L. Rokach, A. Meisels, A. Schclar, "Anytime AHP Method for Preferences Elicitation in Stereotype-Based Recommender System", Proceedings of the 10th Conference on Enterprise Information Systems (ICEIS 2008), Barcelona, Spain, June 13-16, 2008.

26.        A. Averbuch, G. Gelles, A. Schclar, "Fast Image-Completion via Comparison of Incomplete Patches", Proceedings of the International Workshop on Multimedia Content Representation, Classification and Security (MRCS 2006), Istanbul, Turkey, September 11-13, 2006.

27.        A. Averbuch, A. Schclar, "A real-time algorithm for vision-based localization", Proceedings of the 46th International Symposium on Navigation, Multimedia and Marine (ELMAR 2004), Zadar, Croatia, June 16-18, 2004.

28.        A. Schclar, A. Averbuch, D. Donoho, “Deblocking of Block-DCT Compressed Images Using Deblocking Frames of Variable Size”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2002), Orlando, Florida, May 13-17, 2002.

 

Book chapters

 

29.        A. Schclar, "A diffusion framework for dimensionality reduction", in Soft Computing for Knowledge Discovery and Data Mining. (Editors: Oded Maimon and Lior Rokach). Springer, 2008, pp. 315-325.

 

Patents

 

30.        A. Schclar and A. Averbuch, "Diffusion bases methods for segmentation and clustering". United States Patent 7961957, Pub. Date: Dec. 2010.

31.        R. R. Coifman, F. Geshwind, A. C. Coppi, Y. Keller, A. Schclar, R. A. Deverse, W. G. Fateley, "Multispectral Imaging and Non-Linear Filtering of Vector Valued Data", United States Patent 7589772, Pub. Date: Apr. 2007.

 

Ph.D. Students

 

          Nadav Poraz

 

M.Sc. Students

 

          Amir Keren

          Chen Tzvi

          Shlomi Jakubowicz

          Oded Assouline

          Yuval Berger

          Amir Amit