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Alex Frid
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Books and Theses
- 2017
- [b1]Alex Frid:
Applications and development of machine learning methods for biological signals arising from cognitive processes. University of Haifa, Israel, 2017
Journal Articles
- 2020
- [j5]Larry M. Manevitz, Alex Frid:
Cognition and Neurocomputation. Ann. Math. Artif. Intell. 88(11): 1119-1123 (2020) - [j4]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) - [j3]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) - [j2]Eitan Netzer, Alex Frid, Dan Feldman:
Real-time EEG classification via coresets for BCI applications. Eng. Appl. Artif. Intell. 89: 103455 (2020) - 2016
- [j1]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)
Conference and Workshop Papers
- 2020
- [c7]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
- [c6]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
- [c5]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
- [c4]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
- [c3]Alex Frid, Yizhar Lavner:
Spectral and textural features for automatic classification of fricatives using SVM. IWSSIP 2014: 99-102 - [c2]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 - [c1]Alex Frid
, Hananel Hazan
, Larry M. Manevitz:
Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract. SwSTE 2014: 63-64
Informal and Other Publications
- 2024
- [i4]Vadim Holodovsky, Masada Tzabari, Yoav Y. Schechner, Alex Frid, Klaus Schilling:
Success Probability in Multi-View Imaging. CoRR abs/2407.21027 (2024) - 2019
- [i3]Eitan Netzer, Alex Frid, Dan Feldman:
Real-Time EEG Classification via Coresets for BCI Applications. CoRR abs/1901.00512 (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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