30 | 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. |
29 | 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. |
28 | 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).. |
27 | 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. |
26 | 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. |
25 | 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. |
24 | 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. |
23 | 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. |
22 | 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. |
21 | 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 |
20 | 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. |
19 | T. Porat, A. Schclar and B. Shapira. MATE – A Mobile Analysis Tool for Usability Experts, in ACM SIGCHI 2013, May 2013. |
18 | 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. |
17 | 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. |
16 | 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. |
15 | 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. |
14 | 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. |
13 | L. Rokach and A. Schclar. k-Anonymized Reducts, in IEEE conference on Granular Computing (GrC 2010, August 2010. |
12 | 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. |
11 | 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. |
10 | 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. |
9 | 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. |
8 | 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. |
7 | 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 |
6 | 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. |
5 | 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. |
4 | 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. |
3 | 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. |
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. |