Lectures at Scholarly Conferences

2017

  • Tali Bitan, Alex Frid, Hananel Hazan, Larry Manevitz, Haim Shalelashvili & Yael Weiss. Classification from Generation: Recognizing Deep Grammatical Information during Reading from Rapid Event-Related fMRI. BISFAI 2017. Bar-Ilan University. (Presented by co-author).

2016

2015

  • Gal Sabina Star, Larry Manevitz, Hananel Hazan & Alex Frid. Machine Learning Techniques and the Existence of Variant Declarative Memory Systems in Humans. BISFAI 2015. Bar-Ilan University. (Presented by co-author).

2013

  • Alex Frid, Hananel Hazan and Larry Manevitz. Temporal Pattern Recognition via Temporal Networks of Temporal Neurons. BISFAI 2013. Bar-Ilan University.
  • Gal Sabina Star, Hananel Hazan and Larry Manevitz. Identifying Human Declarative Memory Systems via Machine Learning on Brain Activity Data Obtained during Memory Recall Tasks. BISFAI 2013. Bar-Ilan University. (Presented by co-author).
  • Stav Hertz, Hananel Hazan and Larry Manevitz. Deep Learning for One-Class Classification of Cognitive Tasks from fMRI data. BISFAI 2013. Bar-Ilan University. (Presented by co-author).

2012

  • Hananel Hazan and Larry M. Manevitz, Poster: Sliding Thresholds, STDP Learning Variants and Topological Choices Improve CONAS 2012 open workshop, March 29,30 Reservoir Computing Appropriate For Spatio-Temporal Pattern Recognition http://conas2012.elis.ugent.be/

2011

  • Gilboa Asaf, Hazan Hananel, Koilis Ester, Manevitz Larry, Sharon Tali.(2011) Memory Encoding Classification with Machine Learning Techniques.International Joint Conference on Neural Networks (IJCNN-2011).poster.

2010

  • Manevitz, L. Hazan,H. (2010). THE LIQUID STATE MACHINE IS NOT ROBUST TO PROBLEMS IN ITS COMPONENTS BUT TOPOLOGICAL CONSTRAINTS CAN RESTORE ROBUSTNESS. ICNC 2010 International Conference on Neural Computation
  • Eviatar, Z., Hazan, H., Manevitz, L., Peleg, O., Rom, T. (2010) INTERACTIONS BETWEEN HEMISPHERES WHEN DISAMBIGUATING AMBIGUOUS HOMOGRAPH WORDS DURING SILENT READING. ICNC 2010 International Conference on Neural Computation.

2009

2007

  • Peleg,O., Eviatar, Z., Hazan, H,& Manevitz, L. (2007). Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words. 2007CNS Annual meeting (Cognitive Neuroscience Society). New York.
  • Peleg,O., Eviatar, Z., Hazan, H,& Manevitz, L. (2007). Differences and Interactions between Cerebral Hemispheres When Processing Ambiguous Homographs. IJCAI07 (International Joint Conference on Artificial Intelligence)-WAPCV (Workshop on Attention and Performance in Computational Vision). India.
  • Peleg,O., Eviatar, Z., Manevitz, L., & Hazan, H. (2007). Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words.  IJCAI07 (International Joint Conference on Artificial Intelligence)-NeSy’07 (Neural-Symbolic Learning and Reasoning). India.

2006

2005

  • Peleg,O., Eviatar, Z., Manevitz, L., & Hazan, H. (2005). The Disambiguation of Heterophonic and Homophonic Homographs in Hebrew. BISFAI (Biennial Israeli Symposium on the Foundations of AI), University of Haifa-CRI.
  • Peleg,O., Eviatar, Z., Manevitz, L., & Hazan, H. (2005). The Disambiguation of Heterophonic and Homophonic Homographs in Hebrew. ISCOL (Israeli Seminar on Computational Linguistics). Technion.