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ORCIDLarry M. Manevitz
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Journal Articles
- 2020
[j23]Larry M. Manevitz, Alex Frid:
Cognition and Neurocomputation. Ann. Math. Artif. Intell. 88(11): 1119-1123 (2020)- [j22]Alex Frid
, Larry M. Manevitz:
Analyzing cognitive processes from complex neuro-physiologically based data: some lessons. Ann. Math. Artif. Intell. 88(11): 1125-1153 (2020) - [j21]Alex Frid, Larry M. Manevitz, Norberto Eiji Nawa:
Classifying the valence of autobiographical memories from fMRI data. Ann. Math. Artif. Intell. 88(11): 1261-1274 (2020) - 2016
- [j20]Alex Frid, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Maayan Merhav, Gal Star:
The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks. Trans. Comput. Collect. Intell. 24: 117-133 (2016) - 2015
- [j19]Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona:
Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine. Neural Networks 70: 61-73 (2015) - 2012
- [j18]Hananel Hazan, Larry M. Manevitz:
Topological constraints and robustness in liquid state machines. Expert Syst. Appl. 39(2): 1597-1606 (2012) - 2011
- [j17]Omer Boehm, David R. Hardoon, Larry M. Manevitz:
Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms. Int. J. Mach. Learn. Cybern. 2(3): 125-134 (2011) - 2010
- [j16]Orna Peleg, Larry M. Manevitz, Hananel Hazan, Zohar Eviatar:
Two hemispheres - two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words. Ann. Math. Artif. Intell. 59(1): 125-147 (2010) - 2009
- [j15]Malik Yousef, Mohamed Ketany, Larry M. Manevitz, Louise C. Showe, Michael K. Showe:
Classification and biomarker identification using gene network modules and support vector machines. BMC Bioinform. 10: 337 (2009) - 2008
- [j14]Maya Maimon, Larry M. Manevitz:
A simulation tool for modeling the influence of anatomy on information flow using discrete integrate and fire neurons. J. Comb. Optim. 15(3): 287-304 (2008) - 2007
- [j13]Larry M. Manevitz, Malik Yousef:
One-class document classification via Neural Networks. Neurocomputing 70(7-9): 1466-1481 (2007) - [j12]Shlomo Berkovsky, Yaniv Eytani, Larry M. Manevitz:
Efficient Collaborative Filtering in Content-Addressable Spaces. Int. J. Pattern Recognit. Artif. Intell. 21(2): 265-289 (2007) - 2005
- [j11]Larry M. Manevitz, Akram Bitar, Dan Givoli:
Neural network time series forecasting of finite-element mesh adaptation. Neurocomputing 63: 447-463 (2005) - 2004
- [j10]Larry M. Manevitz, Malik Yousef:
A web navigation system based on a neural network user-model trained with only positive web documents. Web Intell. Agent Syst. 2(2): 137-144 (2004) - 2003
- [j9]Larry M. Manevitz, Dan Givoli:
Towards automating the finite element method: a test-bed for soft computing. Appl. Soft Comput. 3(1): 37-51 (2003) - 2001
- [j8]Larry M. Manevitz, Malik Yousef:
One-Class SVMs for Document Classification. J. Mach. Learn. Res. 2: 139-154 (2001) - 1997
- [j7]Robert A. Hummel, Larry M. Manevitz:
Combination Calculi for Uncertainty Reasoning: Representing Uncertainty Using Distributions. Ann. Math. Artif. Intell. 20(1-4): 69-109 (1997) - [j6]Larry M. Manevitz, Yigal Zemach:
Assigning meaning to data: Using sparse distributed memory for multilevel cognitive tasks. Neurocomputing 14(1): 15-39 (1997) - [j5]Larry M. Manevitz:
Interweaving Kohonen Maps of Different Dimensions to Handle Measure Zero Constraints on Topological Mappings. Neural Process. Lett. 5(2): 83-89 (1997) - 1996
- [j4]Mark E. Hoffman, Larry M. Manevitz, Edward K. Wong:
Fuzzy Independence and Extended Conditional Probability. Inf. Sci. 90(1-4): 137-156 (1996) - [j3]Mark Meltser, Moshe Shoham, Larry M. Manevitz:
Approximating Functions by Neural Networks: A Constructive Solution in the Uniform Norm. Neural Networks 9(6): 965-978 (1996) - [j2]Robert A. Hummel, Larry Michael Manevitz:
A statistical approach to the representation of uncertainty in beliefs using spread of opinions. IEEE Trans. Syst. Man Cybern. Part A 26(3): 378-384 (1996) - 1980
- [j1]Larry M. Manevitz, Jonathan Stavi:
Triangle 02 Operators and Alternating Sentences in Arithmetic. J. Symb. Log. 45(1): 144-154 (1980)
Conference and Workshop Papers
- 2020
- [c20]Alex Frid, Larry M. Manevitz:
Design and Selection of Features under ERP for Correlating and Classifying between Brain Areas and Dyslexia via Machine Learning. IJCNN 2020: 1-8 - 2019
- [c19]Alex Frid, Larry M. Manevitz, Ohad Mosafi:
Multi-Class Classification in Parkinson's Disease by Leveraging Internal Topological Structure of the Data and of the Label Space. IJCNN 2019: 1-9 - 2016
- [c18]Tali Bitan, Alex Frid, Hananel Hazan, Larry M. Manevitz, Haim Shalelashvili, Yael Weiss:
Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI. IJCNN 2016: 4637-4642 - 2015
- [c17]Alex Frid, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Maayan Merhav, Gal Star:
Machine Learning Techniques and the Existence of Variant Processes in Humans Declarative Memory. IJCCI (NCTA) 2015: 114-121 - 2014
- [c16]Alex Frid, Hananel Hazan, Dan Hilu, Larry M. Manevitz, Lorraine O. Ramig, Shimon Sapir:
Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques. SwSTE 2014: 50-53 - [c15]Alex Frid, Hananel Hazan, Larry M. Manevitz:
Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract. SwSTE 2014: 63-64 - 2011
- [c14]Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona:
Learning BOLD Response in fMRI by Reservoir Computing. PRNI 2011: 57-60 - 2010
- [c13]Uri Feintuch, Larry M. Manevitz, Natan Silnitsky:
Classification and Clustering of Brain Injuries from Motion Data of Patients in a Virtual Reality Environment. IJCCI (ICFC-ICNC) 2010: 246-252 - [c12]Hananel Hazan, Larry M. Manevitz:
The Liquid State Machine is not Robust to Problems in Its Components but Topological Constraints Can Restore Robustness. IJCCI (ICFC-ICNC) 2010: 258-264 - [c11]Zohar Eviatar, Hananel Hazan, Larry M. Manevitz, Orna Peleg, Rom Timor:
Interactions between Hemispheres When Disambiguating Ambiguous Homograph Words during Silent Reading. IJCCI (ICFC-ICNC) 2010: 271-278 - [c10]Larry Michael Manevitz:
Windows on the Mind: Some recent aspects of modeling and pattern recognition of cognition. ISAIM 2010 - [c9]Omer Boehm, David R. Hardoon, Larry M. Manevitz:
Towards One-Class Pattern Recognition in Brain Activity via Neural Networks. MICAI (2) 2010: 126-137 - [c8]Larry M. Manevitz, Hananel Hazan:
Stability and Topology in Reservoir Computing. MICAI (2) 2010: 245-256 - 2007
- [c7]Orna Peleg, Zohar Eviatar, Larry M. Manevitz, Hananel Hazan:
Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words. NeSy 2007 - [c6]Orna Peleg, Zohar Eviatar, Hananel Hazan, Larry M. Manevitz:
Differences and Interactions Between Cerebral Hemispheres When Processing Ambiguous Words. WAPCV 2007: 367-380 - 2006
- [c5]Shlomo Berkovsky, Yaniv Eytani, Larry M. Manevitz:
Collaborative Filtering Based on Content Addressing. ICEIS (2) 2006: 91-98 - [c4]Shlomo Berkovsky, Yaniv Eytani, Larry M. Manevitz:
Retrieval of Collaborative Filtering Nearest Neighbors in a Content-Addressable Space. ICEIS (Selected Papers) 2006: 159-178 - 2005
- [c3]David R. Hardoon, Larry M. Manevitz:
fMRI Analysis via One-class Machine Learning Techniques. IJCAI 2005: 1604-1605 - 2000
- [c2]Larry M. Manevitz, Malik Yousef:
Document classification on neural networks using only positive examples. SIGIR 2000: 304-306 - 1987
- [c1]Robert A. Hummel, Larry M. Manevitz:
Combining Bodies of Dependent Information. IJCAI 1987: 1015-1017
Parts in Books or Collections
- 2008
- [p1]Shlomo Berkovsky, Yaniv Eytani, Larry M. Manevitz:
Efficient Collaborative Filtering in Content-Addressable Spaces. Personalization Techniques and Recommender Systems 2008: 135-164
Informal and Other Publications
- 2019
- [i2]Alex Frid, Larry M. Manevitz, Norberto Eiji Nawa:
Classifying the Valence of Autobiographical Memories from fMRI Data. CoRR abs/1909.04390 (2019) - 2018
- [i1]Alex Frid, Larry M. Manevitz:
Features and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia. CoRR abs/1812.10622 (2018)
Coauthor Index
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