Senior Lecturer School of Computer Science P.O.B 8401, Tel-Aviv 61083, Israel Phone: +972-3-6803408,
Fax: +972-3-6803342
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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. 196–210, 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