Alex Frid

According to our database, Alex Frid authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Success Probability in Multi-View Imaging.

Vadim Holodovsky, Masada Tzabari, Yoav Y. Schechner, Alex Frid, Klaus Schilling

CoRR, 2024

2020

Real-time EEG classification via coresets for BCI applications.

Eitan Netzer, Alex Frid, Dan Feldman

Eng. Appl. Artif. Intell., 2020

Cognition and Neurocomputation.

Larry M. Manevitz, Alex Frid

Ann. Math. Artif. Intell., 2020

Classifying the valence of autobiographical memories from fMRI data.

Alex Frid, Larry M. Manevitz, Norberto Eiji Nawa

Ann. Math. Artif. Intell., 2020

Analyzing cognitive processes from complex neuro-physiologically based data: some lessons.

Alex Frid, Larry M. Manevitz

Ann. Math. Artif. Intell., 2020

Design and Selection of Features under ERP for Correlating and Classifying between Brain Areas and Dyslexia via Machine Learning.

Alex Frid, Larry M. Manevitz

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Multi-Class Classification in Parkinson's Disease by Leveraging Internal Topological Structure of the Data and of the Label Space.

Alex Frid, Larry M. Manevitz, Ohad Mosafi

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Features and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia.

Alex Frid, Larry M. Manevitz

CoRR, 2018

2017

Applications and development of machine learning methods for biological signals arising from cognitive processes.

Alex Frid

PhD thesis, 2017

2016

The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks.

Alex Frid, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Maayan Merhav, Gal Star

Trans. Comput. Collect. Intell., 2016

Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI.

Tali Bitan, Alex Frid, Hananel Hazan, Larry M. Manevitz, Haim Shalelashvili, Yael Weiss

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Machine Learning Techniques and the Existence of Variant Processes in Humans Declarative Memory.

Alex Frid, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Maayan Merhav, Gal Star

Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

2014

Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract.

Alex Frid, Hananel Hazan, Larry M. Manevitz

Proceedings of the 2014 IEEE International Conference on Software Science, 2014

Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques.

Alex Frid, Hananel Hazan, Dan Hilu, Larry M. Manevitz, Lorraine O. Ramig, Shimon Sapir

Proceedings of the 2014 IEEE International Conference on Software Science, 2014

Spectral and textural features for automatic classification of fricatives using SVM.

Alex Frid, Yizhar Lavner

Proceedings of the International Conference on Systems, Signals and Image Processing, 2014