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School of Computer Science

Tel-Aviv Academic College

Dr. Alon Schclar

Dr. Alon Schclar former faculty

view: formal, yearly, linear.

Journal/Collection Publications

13 A. Schclar, L. Rokach and A. Amit. Ensembles of Classifiers based on Dimensionality Reduction, Intelligent Data Analysis, volume 21, number 3, pages 467–489, June 2017.
12 A. Nemtzov, A. Averbuch and A. Schclar. Matrix Compression using the Nyström Method, Intelligent Data Analysis, volume 20, number 5, pages 997–1019, September 2016.
11 E. Menahem, A. Schclar, L. Rokach and Y. Elovici. Securing Your Transactions: Detecting Anomalous Patterns in XML Documents, Information Sciences, volume 326, pages 71–88,, January 2016.
10 L. Rokach, A. Schclar and E. Itach. Ensemble Methods for Multi-label Classification, Expert Systems with Applications, volume 41, number 16, pages 7507–7523,, November 2014. arxiv
9 L. Rokach and A. Schclar. k-Anonymized Reducts, International Journal of Granular Computing, Rough Sets and Intelligent Systems, volume 2, number 3, pages 196–210,, 2012.
8 A. Schclar, L. Rokach, A. Abramson and Y. Elovici. User Authentication Based on Representative Users, IEEE Transactions on Systems, Man, and Cybernetics, Part C, volume 42, number 6, November 2012.
7 C. Feher, Y. Elovici, R. Moskovitch, L. Rokach and A. Schclar. User Identity Verification via Mouse Dynamics, Information Sciences, volume 201, pages 19–36,, October 2012.
6 A. Averbuch, N. Rabin, A. Schclar and V. Zheludev. Dimensionality reduction for detection of moving vehicles, Pattern Analysis and Applications, volume 15, pages 19–27,, February 2012.
5 A. Schclar, A. Averbuch, K. Hochman, N. Rabin and V. Zheludev. A diffusion framework for detection of moving vehicles, Digital Signal Processing, volume 20, number 1, pages 111–122, January 2010.
4 A. Averbuch, V. Zheludev, N. Rabin and A. Schclar. Wavelet based acoustic detection of moving vehicles, Multidimensional Systems and Signal Processing, volume 20, number 1, pages 55, 2009.
3 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, volume 48, pages 1520–1526, 2009.
2 A. Schclar. A diffusion framework for dimensionality reduction, in O. Maimon and L. Rokach (eds.), Soft Computing for Knowledge Discovery and Data Mining, pages 315–325, Springer, 2008.
1 A. Averbuch, A. Schclar and D. Donoho. Deblocking of Block-Transform Compressed Images Using Weighted Sums of Symmetrically Aligned Pixels”, IEEE Transactions on Image Processing, volume 14, number 2, pages 200–212, February 2005.

Conference Proceedings

17 R. Saabni and A. Schclar. Facial Expression Recognition using Combined Pre-trained Convolutional Models, in Proceedings of the 9th International Conference on Soft Computing, Artificial Intelligence and Applications (SAI 2020, July 11, 2020.
16 K. Hochman, A. Averbuch, A. Schclar and R. Saabni. A Manifold Learning Framework for the Detection of Cardiac Disorders in Acoustic Signals, in Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020, February 22, 2020.
15 A. Schclar and A. Averbuch. A Diffusion Approach to Unsupervised Segmentation of Hyper-Spectral Images, in C. Sabourin, J. Merelo, K. Madani and K. Warwick (eds.), Studies in Computational Intelligence, volume 829, Springer, 2019, Extended versions of selected papers from IJCCI 2017)..
14 A. Schclar and A. Averbuch. Unsupervised Detection of Sub-pixel Objects in Hyper-Spectral Images via Diffusion Bases, in Proceedings of the 11th International Conference on Neural Computation Theory and Applications (NCTA 2019, September 17, 2019.
13 A. Schclar and A. Averbuch. Unsupervised Segmentation of Hyper-Spectral Images via Diffusion Bases, in Proceedings of the 9th International Joint Conference on Computational Intelligence (IJCCI 2017, November 1, 2017.
12 A. Schclar and A. Averbuch. Diffusion Bases Dimensionality Reduction, in Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015, November 11, 2015.
11 A. Bar, L. Rokach, G. Shani, B. Shapira and A. Schclar. Improving Simple Collaborative Filtering Models Using Ensemble Methods, in 11th International Workshop on Multiple Classifier Systems (MSC 2013), May 2013.
10 T. Porat, A. Schclar and B. Shapira. MATE – A Mobile Analysis Tool for Usability Experts, in ACM SIGCHI 2013, May 2013.
9 A. Schclar, L. Rokach and A. Amit. Diffusion Ensemble Classifiers, in Proceedings of the 4th International Conference on Neural Computation Theory and Applications (NCTA 2012, October 2012.
8 L. Rokach and A. Schclar. k-Anonymized Reducts, in IEEE conference on Granular Computing (GrC 2010, August 2010.
7 A. Gershman, A. Meisels, K. Lüke, L. Rokach, A. Schclar and A. Sturm. A Decision Tree Based Recommender System, in 10th International Conference on Innovative Internet Community Systems (IICS 2010, June 2010.
6 A. Schclar, A. Meisels, A. Gershman, L. Rokach, A. Tsikinovsky and L. Antwarg. Ensemble Methods for Improving the Performance of Neighborhood-based Collaborative Filtering, in Proceedings of the ACM Conference on Recommender Systems (RecSys 2009, October 2009.
5 A. Schclar and L. Rokach. Random Projection Ensemble Classifiers, in Lecture Notes in Business Information Processing, Proceedings of the 11th Conference on Enterprise Information Systems (ICEIS 2009, May 2009. arxiv
4 L. Rokach, A. Meisels and A. Schclar. Anytime AHP Method for Preferences Elicitation in Stereotype-Based Recommender System, in Proceedings of the 10th Conference on Enterprise Information Systems (ICEIS 2008, June 2008.
3 A. Averbuch, G. Gelles and A. Schclar. Fast Image-Completion via Comparison of Incomplete Patches, in Proceedings of the International Workshop on Multimedia Content Representation, Classification and Security (MRCS 2006, September 2006.
2 A. Averbuch and A. Schclar. A real-time algorithm for vision-based localization, in Proceedings of the 46th International Symposium on Navigation, Multimedia and Marine (ELMAR 2004, June 2004.
1 A. Schclar, A. Averbuch and D. Donoho. Deblocking of Block-DCT Compressed Images Using Deblocking Frames of Variable Size”, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2002, May 2002.
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