Conferences with proceedings

Conferences with proceedings

2016

  • T Bitan, A Frid, H Hazan, LM Manevitz, H Shalelashvili, Y Weiss. Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI.
    Neural Networks (IJCNN), 2016 International Joint Conference on, 4637-4642. [Link, PDF]

  • A Frid, H Hazan, E Koilis, LM Manevitz, M Merhav, G Star.
    The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks Transactions on Computational Collective Intelligence XXIV, 117-133 . [PDF]

2015

  • Frid A., Hazan H., Koilis E., M. Manevitz L., Merhav M. and Star G. (2015). Machine Learning Techniques and the Existence of Variant Processes in Humans Declarative Memory.
    In Proceedings of the 7th International Joint Conference on Computational Intelligence, ISBN 978-989-758-157-1, pages 114-121. DOI: 10.5220/0005594501140121
    [Link, PDF]

2014

  • Haim Shalelashvili, Tali Bitan, Alex Frid, Hananel Hazan, Stav Hertz, Yael Weiss and Larry Manevitz:
    Recognizing Deep Grammatical Information during Reading from Event Related fMRI
    2014 IEEE 28h Convention of Electrical Electronics Engineers in Israel (IEEEI), 2014.
    [Link, PDF]
  • Alex Frid, Hananel Hazan, Larry Manevitz,:
    Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines
    Software Science, IEEE International Conference Software Science, Technology and Engineering (SWSTE), 2014, 63-64.
    [Link, PDF]
  • Alex Frid, Hananel Hazan, Dan Hilu, Larry Manevitz, Lorraine O Ramig, Shimon Sapir:
    Computational Diagnosis of Parkinson’s Disease Directly from Natural Speech Using Machine Learning Techniques
    IEEE International Conference Software Science, Technology and Engineering (SWSTE), 2014, 50-53.
    [Link, PDF]

2012

  • Frid, A., Hazan, H. and Manevitz, L:
    Temporal Pattern Recognition via Temporal Networks of  Temporal Neurons
    2012 IEEE 27th Convention of Electrical Electronics Engineers in Israel (IEEEI), 2012, pp. 1 –4.
    [Link, PDF]
  • Hazan, H., Dan, H., Manevitz, L., Ramigand, L., Sapir, S:
    Early Diagnosis of Parkinson’s Disease via Machine Learning on Speech Data
    2012 IEEE 27th Convention of Electrical Electronics Engineers in Israel (IEEEI), 2012, pp. 1 –4.
    [Link, PDF]

2011

  • Gilboa, A., Hazan, H., Koilis, E., Manevitz, L. and Sharon, T:
    Multiple Declarative Memory Systems: Classification with Machine Learning Techniques
    Proceedings of the International Joint Conference on Neural Networks(IJCNN), 2011, San Jose, Ca. Page 54, Poster 312.
    [PDF]
  • Avesani, P.; Hazan, H.; Koilis, E.; Manevitz, L.; Sona, D;
    Learning BOLD Response in fMRI by Reservoir Computing
    IEEE Workshop on Pattern Recognition in Neuroimaging (PRNI),ISBN: 978-0-7695-4399-4, pp.57-60, 16-18 May 2011.
    [Link,PDF]

2010

  • Manevitz, L. Hazan,H.
    Stability and Topology in Reservoir Computing
    Proceedings of the 9th Mexican International Conference on Artificial Intelligence (MICAI), Pages 245-256.
    DOI10.1007/978-3-642-16773-7_21

    [Link,PDF]
  • Hazan H. and Manevitz L:
    The Liquid State Machine Is Not Robust To Problems In Its Components But Topological Constraints Can Restore Robustness.
    Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation,2010, pages 258-264.
    [Link,PDF]
  • Eviatar Z., Hazan H., Manevitz L., Peleg O. and Timor R:
    Interactions Between Hemispheres When Disambiguating Ambiguous Homograph Words During Silent Reading.
    Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation,2010, pages 271-278.
    [Link, PDF]

2007

  • Peleg,O., Eviatar, Z., Hazan, H,& Manevitz, L:
    Differences and Interactions between Cerebral Hemispheres When Processing Ambiguous Homographs.
    Attention in Cognitive Systems, L. Paletta and E. Rome, Eds. Springer-Verlag Berlin Heidelberg 2007-LNAI (Lecture Notes in Computer Science) publication no.4840, ‘Attention in Cognitive Systems’, L. Paletta and E. Rome, Eds., pp. 367–380.
    [Link,PDF]
  • Peleg,O., Eviatar, Z., Manevitz, L., & Hazan, H:
    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). Publish electronically. CEUR Workshop Proceedings, Vol. 230, 2007. ISSN 1613-0073. 31-37.
    [Link,PDF]