Spectral and textural features for automatic classification of fricatives using SVM. - Alex Frid; Yizhar Lavner (IWSSIP, 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 (SwSTE, 2014)

Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract. - Alex Frid; Hananel Hazan; Larry M. Manevitz (SwSTE, 2014)

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 (IJCCI (NCTA), 2015)

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 (IJCNN, 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)

Applications and development of machine learning methods for biological signals arising from cognitive processes. - Alex Frid (2017)

Features and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia. - Alex Frid; Larry M. Manevitz (CoRR, 2018)

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 (IJCNN, 2019)

Design and Selection of Features under ERP for Correlating and Classifying between Brain Areas and Dyslexia via Machine Learning. - Alex Frid; Larry M. Manevitz (IJCNN, 2020)

Analyzing cognitive processes from complex neuro-physiologically based data: some lessons. - Alex Frid; Larry M. Manevitz (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)

Cognition and Neurocomputation. - Larry M. Manevitz; Alex Frid (Ann. Math. Artif. Intell., 2020)

Real-time EEG classification via coresets for BCI applications. - Eitan Netzer; Alex Frid; Dan Feldman (Eng. Appl. Artif. Intell., 2020)

Success Probability in Multi-View Imaging. - Vadim Holodovsky; Masada Tzabari; Yoav Y. Schechner; Alex Frid; Klaus Schilling 001 (CoRR, 2024)