| 2020 | IJCNN | Design and Selection of Features under ERP for Correlating and Classifying between Brain Areas and Dyslexia via Machine Learning. | Alex Frid, Larry M. Manevitz |
| 2019 | IJCNN | 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 |
| 2016 | IJCNN | 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 |
| 2015 | IJCCI | 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 |
| 2010 | IJCCI | Interactions between Hemispheres When Disambiguating Ambiguous Homograph Words during Silent Reading. | Zohar Eviatar, Hananel Hazan, Larry M. Manevitz, Orna Peleg, Rom Timor |
| 2010 | IJCCI | Classification and Clustering of Brain Injuries from Motion Data of Patients in a Virtual Reality Environment. | Uri Feintuch, Larry M. Manevitz, Natan Silnitsky |
| 2010 | IJCCI | The Liquid State Machine is not Robust to Problems in Its Components but Topological Constraints Can Restore Robustness. | Hananel Hazan, Larry M. Manevitz |
| 2007 | IJCAI | Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words. | Orna Peleg, Zohar Eviatar, Larry M. Manevitz, Hananel Hazan |
| 2005 | IJCAI | fMRI Analysis via One-class Machine Learning Techniques. | David R. Hardoon, Larry M. Manevitz |
| 2000 | SIGIR | Document classification on neural networks using only positive examples. | Larry M. Manevitz, Malik Yousef |
| 1987 | IJCAI | Combining Bodies of Dependent Information. | Robert A. Hummel, Larry M. Manevitz |