Towards identification of very low resolution, anti-alaised characters. - Farshideh Einsele; Jean Hennebert; Rolf Ingold (ISSPA, 2007)

A HMM-Based Approach to Recognize Ultra Low Resolution Anti-Aliased Words. - Farshideh Einsele; Rolf Ingold; Jean Hennebert (PReMI, 2007)

A Language-Independent, Open-Vocabulary System Based on HMMs for Recognition of Ultra Low Resolution Words. - Farshideh Einsele; Rolf Ingold; Jean Hennebert (J. Univers. Comput. Sci., 2008)

Recognition of Ultra Low Resolution Word Images Using HMMs. - Farshideh Einsele; Rolf Ingold; Jean Hennebert (Computer Recognition Systems 2, 2008)

A Study about Discovery of Critical Food Consumption Patterns Linked with Lifestyle Diseases using Data Mining Methods. - Farshideh Einsele; Leila Sadeghi; Rolf Ingold; Helena Jenzer (HEALTHINF, 2015)

A Study about Discovery of Critical Food Consumption Patterns Linked with Lifestyle Diseases for Swiss Population using Data Mining Methods. - Ilona Rahel Mewes; Helena Jenzer; Farshideh Einsele (HEALTHINF, 2021)

Building an Integrated Relational Database from Swiss Nutrition's (menuCH) and Multiple Swiss Health Datasets Acquired from 1992 to 2012 for Data Mining Purposes. - Timo Lustenberger; Helena Jenzer; Farshideh Einsele (DATA, 2021)

Mining Association Rules in Commuter Feedback Comments from Facebook of Swiss National Railways (SBB) Using Apriori Algorithm. - Patrick Blatter; Farshideh Einsele (DIONE, 2022)