לרי מנביץ - הפקולטה למדעי המחשב והמידע

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Constructive uniform approximation of differentiable vector-functions by neural network methods, Shoam, M., Meltser, M. & Manevitz, L. M., 10 Sep 2021, World Congress on Neural Networks. Taylor and Francis, Vol. 2. p. II.372-II.378
Analyzing cognitive processes from complex neuro-physiologically based data: some lessons, Frid, A. & Manevitz, L. M., 1 Dec 2020, In: Annals of Mathematics and Artificial Intelligence. 88, 11-12, p. 1125-1153 29 p.
Classifying the valence of autobiographical memories from fMRI data, Frid, A., Manevitz, L. M. & Nawa, N. E., 1 Dec 2020, In: Annals of Mathematics and Artificial Intelligence. 88, 11-12, p. 1261-1274 14 p.
Cognition and Neurocomputation, Manevitz, L. M. & Frid, A., 1 Dec 2020, In: Annals of Mathematics and Artificial Intelligence. 88, 11-12, p. 1119-1123 5 p.
Multi-Class Classification in Parkinson's Disease by Leveraging Internal Topological Structure of the Data and of the Label Space, Frid, A., Manevitz, L. M. & Mosafi, O., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852088. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).
Kohonen-Based Topological Clustering as an Amplifier for Multi-Class Classification for Parkinson's Disease, Frid, A., Manevitz, L. M. & Mosafi, O., 2 Jul 2018, 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018. Institute of Electrical and Electronics Engineers Inc., 8646026. (2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018).
Diagnosis of Parkinson's disease from continuous speech using deep convolutional networks without manual selection of features, Frid, A., Kantor, A., Svechin, D. & Manevitz, L. M., 4 Jan 2017, 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers Inc., 7806118. (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016).
The existence of two variant processes in human declarative memory: Evidence using machine learning classification techniques in retrieval tasks, Frid, A., Hazan, H., Koilis, E., Manevitz, L. M., Merhav, M. & Star, G., 2016, Transactions on Computational Collective Intelligence XXIV. Nguyen, N. T., Filipe, J. & Kowalczyk, R. (eds.). Springer Verlag, p. 117-133 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9770 LNCS).
Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine, Avesani, P., Hazan, H., Koilis, E., Manevitz, L. M. & Sona, D., 1 Oct 2015, In: Neural Networks. 70, p. 61-73 13 p.
Machine learning techniques and the existence of variant processes in humans declarative memory, Frid, A., Hazan, H., Koilis, E., Manevitz, L. M., Merhav, M. & Star, G., 2015, NCTA. Rosa, A., Merelo, J. J., Dourado, A., Cadenas, J. M., Madani, K., Ruano, A., Filipe, J. & Filipe, J. (eds.). SciTePress, p. 114-121 8 p. (IJCCI 2015 - Proceedings of the 7th International Joint Conference on Computational Intelligence; vol. 3).
Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping, Atir-Sharon, T., Gilboa, A., Hazan, H., Koilis, E. & Manevitz, L. M., 2015, In: Neural Plasticity. 2015, 804385.
Computational diagnosis of Parkinson's disease directly from natural speech using machine learning techniques, Frid, A., Hazan, H., Hilu, D., Manevitz, L., Ramig, L. O. & Sapir, S., 2014, Proceedings - 2014 IEEE International Conference on Software Science, Technology and Engineering, SWSTE 2014. IEEE Computer Society, p. 50-53 4 p. 6887541. (Proceedings - 2014 IEEE International Conference on Software Science, Technology and Engineering, SWSTE 2014).
Topological constraints and robustness in liquid state machines, Hazan, H. & Manevitz, L. M., 1 Feb 2012, In: Expert Systems with Applications. 39, 2, p. 1597-1606 10 p.
Temporal pattern recognition via temporal networks of temporal neurons, Frid, A., Hazan, H. & Manevitz, L., 2012, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012. 6377010. (2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012).
Early diagnosis of Parkinson's disease via machine learning on speech data, Hazan, H., Hilu, D., Manevitz, L., Ramig, L. O. & Sapir, S., 2012, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012. 6377065. (2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012).
Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms, Boehm, O., Hardoon, D. R. & Manevitz, L. M., Sep 2011, In: International Journal of Machine Learning and Cybernetics. 2, 3, p. 125-134 10 p.
Learning BOLD response in fMRI by reservoir computing, Avesani, P., Hazann, H., Koilis, E., Manevitz, L. & Sona, D., 2011, Proceedings - International Workshop on Pattern Recognition in NeuroImaging, PRNI 2011. p. 57-60 4 p. 5961253. (Proceedings - International Workshop on Pattern Recognition in NeuroImaging, PRNI 2011).
Classification and clustering of brain injuries from motion data of patients in a virtual reality environment, Feintuch, U., Manevitz, L. & Silnitsky, N., 2010, ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation. p. 246-252 7 p. (ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation).
Stability and topology in reservoir computing, Manevitz, L. & Hazan, H., 2010, Advances in Soft Computing - 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Proceedings. PART 2 ed. p. 245-256 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6438 LNAI, no. PART 2).
The liquid state machine is not robust to problems in its components but topological constraints can restore robustness, Hazan, H. & Manevitz, L., 2010, ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation. p. 258-264 7 p. (ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation).
Classification and biomarker identification using gene network modules and support vector machines, Yousef, M., Ketany, M., Manevitz, L., Showe, L. C. & Showe, M. K., 15 Oct 2009, In: BMC Bioinformatics. 10, 337.
A simulation tool for modeling the influence of anatomy on information flow using discrete integrate and fire neurons, Maimon, M. & Manevitz, L., Apr 2008, In: Journal of Combinatorial Optimization. 15, 3, p. 287-304 18 p.
Retrieval of collaborative filtering nearest neighbors in a content-addressable space, Berkovsky, S., Eytani, Y. & Manevitz, L., 2008, Enterprise Information Systems - 8th International Conference, ICEIS 2006, Revised Selected Papers. Springer Verlag, p. 159-178 20 p. (Lecture Notes in Business Information Processing; vol. 3 LNBIP).
Efficient collaborative filtering in content-addressable spaces, Berkovsky, S., Eytani, Y. & Manevitz, L., Mar 2007, In: International Journal of Pattern Recognition and Artificial Intelligence. 21, 2, p. 265-289 25 p.
One-class document classification via Neural Networks, Manevitz, L. & Yousef, M., Mar 2007, In: Neurocomputing. 70, 7-9, p. 1466-1481 16 p.
Collaborative filtering based on content addressing, Berkovsky, S., Eytani, Y. & Manevitz, L., 2006, ICEIS 2006 - 8th International Conference on Enterprise Information Systems, Proceedings. p. 91-98 8 p. (ICEIS 2006 - 8th International Conference on Enterprise Information Systems, Proceedings; vol. AIDSS).
Case-based to content-based user model mediation, Berkovsky, S., Gorfinkel, A., Kuflik, T. & Manevitz, L., 2006, Proceedings of the Workshop on Ubiquitous User Modeling, held in conjunction with ECAI-2006.
Neural network time series forecasting of finite-element mesh adaptation, Manevitz, L., Bitar, A. & Givoli, D., Jan 2005, In: Neurocomputing. 63, SPEC. ISS., p. 447-463 17 p.
fMRI analysis via one-class machine learning techniques, Hardoon, D. R. & Manevitz, L. M., 2005, In: IJCAI International Joint Conference on Artificial Intelligence. p. 1604-1605 2 p.
A web navigation system based on a neural network user-model trained with only positive web documents, Manevitz, L. M. & Yousef, M., 2004, In: Web Intelligence and Agent Systems. 2, 2, p. 137-144 8 p.
Towards automating the finite element method: A test-bed for soft computing, Manevitz, L. M. & Givoli, D., 2003, In: Applied Soft Computing Journal. 3, 1, p. 37-51 15 p.
Modeling the process of rate selection in neuronal activity, Manevitz, L. M. & Marom, S., 2002, In: Journal of Theoretical Biology. 216, 3, p. 337-343 7 p.
One-Class SVMs for Document Classification, Manevitz, L. M. & Yousef, M., 2002, In: Journal of Machine Learning Research. 2, p. 139-154 16 p.
Document classification on neural networks using only positive examples, Manevitz, L. M. & Yousef, M., 2000, In: SIGIR Forum (ACM Special Interest Group on Information Retrieval). p. 304-306 3 p.
Combination calculi for uncertainty reasoning: Representing uncertainty using distributions, Hummel, R. & Manevitz, L. M., 1997, In: Annals of Mathematics and Artificial Intelligence. 20, 1-4, p. 69-109 41 p.
Assigning meaning to data: Using sparse distributed memory for multilevel cognitive tasks, Manevitz, L. M. & Zemach, Y., Jan 1997, In: Neurocomputing. 14, 1, p. 15-39 25 p.
Interweaving Kohonen Maps of Different Dimensions to Handle Measure Zero Constraints on Topological Mappings, Manevitz, L., 1997, In: Neural Processing Letters. 5, 2, p. 153-159 7 p.
Approximating functions by neural networks: A constructive solution in the uniform norm, Meltser, M., Shoham, M. & Manevitz, L. M., Aug 1996, In: Neural Networks. 9, 6, p. 965-978 14 p.
Fuzzy independence and extended conditional probability, Hoffman, M. E., Manevitz, L. M. & Wong, E. K., Apr 1996, In: Information Sciences. 90, 1-4, p. 137-156 20 p.
Discrete circle actions: A note using non-standard analysis, Manevitz, L. M. & Weinberger, S., 1996, In: Israel Journal of Mathematics. 94, p. 147-155 9 p.
A statistical approach to the representation of uncertainty in beliefs using spread of opinions, Hummel, R. & Manevitz, L., 1996, In: IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans. 26, 3, p. 378-384 7 p.
Fuzzy Independence and Extended Conditional Probability, Hoffinan, M., Manevitz, L. & Wong, E., 1994, p. 324-327. 4 p.
Heuristic finite element node numbering, Manevitz, L., Givoli, D. & Margi, M., 1993, In: Computing systems in engineering. 4, 2-3, p. 159-167 9 p.
Statistical approaches to fusion with uncertainty, Hummel, R. & Manevitz, L., 1991, In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. 2, p. 831-835 5 p.
Expert system for the efficient numbering of finite element nodes, Givoli, D., Manevitz, L. & Margi, M., 1991, Artificial Intelligence and Structural Engineering. Publ by Civil-Comp Limited, p. 63-71 9 p. (Artificial Intelligence and Structural Engineering).
Topological Frobenius groups, Herfort, W. N. & Manevitz, L. M., Jan 1985, In: Journal of Algebra. 92, 1, p. 16-32 17 p.
Applied model theory and metamathematics - An abraham Robinson memorial problem list, Manevitz, L. M., Sep 1984, In: Israel Journal of Mathematics. 49, 1-3, p. 3-14 12 p.
Lindelöf models of the reals: Solution to a problem of Sikorski, Manevitz, L. & Miller, A. W., Jun 1983, In: Israel Journal of Mathematics. 45, 2-3, p. 209-218 10 p.
Robinson forcing is not absolute, Manevitz, L. M., Sep 1976, In: Israel Journal of Mathematics. 25, 3-4, p. 211-232 22 p.
Internal end-extensions of peano arithmetic and a problem of gaifman, Manevitz, L. M., May 1976, In: Journal of the London Mathematical Society. s2-13, 1, p. 80-82 3 p.

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