An analytical framework for data stream mining techniques based on challenges and requirements - Mahnoosh Kholghi; Mohammadreza Keyvanpour (CoRR, 2011)

Comparative Evaluation of Data Stream Indexing Models - Mahnoosh Kholghi; Mohammad Reza Keyvanpour (CoRR, 2012)

Factors Influencing Robustness and Effectiveness of Conditional Random Fields in Active Learning Frameworks. - Mahnoosh Kholghi; Laurianne Sitbon; Guido Zuccon; Anthony N. Nguyen (AusDM, 2014)

Analysis of Word Embeddings and Sequence Features for Clinical Information Extraction. - Lance De Vine; Mahnoosh Kholghi; Guido Zuccon; Laurianne Sitbon; Anthony N. Nguyen (ALTA, 2015)

External Knowledge and Query Strategies in Active Learning: a Study in Clinical Information Extraction. - Mahnoosh Kholghi; Laurianne Sitbon; Guido Zuccon; Anthony N. Nguyen (CIKM, 2015)

The Benefits of Word Embeddings Features for Active Learning in Clinical Information Extraction. - Mahnoosh Kholghi; Lance De Vine; Laurianne Sitbon; Guido Zuccon; Anthony N. Nguyen (ALTA, 2016)

Active learning: a step towards automating medical concept extraction. - Mahnoosh Kholghi; Laurianne Sitbon; Guido Zuccon; Anthony N. Nguyen (J. Am. Medical Informatics Assoc., 2016)

Active learning reduces annotation time for clinical concept extraction. - Mahnoosh Kholghi; Laurianne Sitbon; Guido Zuccon; Anthony N. Nguyen (Int. J. Medical Informatics, 2017)

Clinical information extraction using small data: An active learning approach based on sequence representations and word embeddings. - Mahnoosh Kholghi; Lance De Vine; Laurianne Sitbon; Guido Zuccon; Anthony N. Nguyen (J. Assoc. Inf. Sci. Technol., 2017)

Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals. - Hamed Hassanzadeh; Mahnoosh Kholghi; Anthony N. Nguyen; Kevin Chu (AMIA, 2018)

Association of Longitudinal Sleep and Next-day Indoor Mobility Measured via Passive Sensors among Community-dwelling Older Adults. - Yang Gao; Mahnoosh Kholghi; Irena Koprinska; Qing Zhang 001 (EMBC, 2021)

The Significance and Limitations of Monitoring Sleep during Pregnancy. - Mahnoosh Kholghi; David Silvera-Tawil; M. Sazzad Hussain; Qing Zhang 001; Marlien Varnfield; Liesel Higgins; Mohanraj Karunanithi (EMBC, 2021)

Home-Based Sleep Sensor Measurements in an Older Australian Population: Before and during a Pandemic. - Mahnoosh Kholghi; Claire M. Ellender; Qing Zhang 001; Yang Gao; Liesel Higgins; Mohanraj Karunanithi (Sensors, 2021)

Sensor-Based Assessment of Social Isolation and Loneliness in Older Adults: A Survey. - Deepa Prabhu; Mahnoosh Kholghi; Muhammad Moid Sandhu; Wei Lu 017; Katie Packer; Liesel Higgins; David Silvera-Tawil (Sensors, 2022)

Calming Down in Lockdown: Rethinking Technologies for a Slower Pace of Life. - Yasamin Asadi; Margot Brereton; Aloha May Hufana Ambe; Alessandro Soro; Mahnoosh Kholghi (Conference on Designing Interactive Systems, 2023)

Detecting Depression-related Movement Changes in Older Adults using Smart Home Motion Sensors - A Feasibility Study. - Deepa Prabhu; Mitchell Dennis; Mahnoosh Kholghi; Wei Lu 017; Moid Sandhu; Katie Packer; Julia Bomke; Liesel Higgins; Qing Zhang 001; David Silvera-Tawil (EMBC, 2023)

The Significance and Limitations of Sensor-based Agitation Detection in People Living with Dementia. - Muhammad Moid Sandhu; Deepa Prabhu; Wei Lu 017; Mahnoosh Kholghi; Katie Packer; Liesel Higgins; Marlien Varnfield; David Silvera-Tawil (EMBC, 2023)

LIV Well when Life Is Limited: Technology to Support Independence at Home. - Mahnoosh Kholghi; David Silvera; Glen Wong; Janine Walker; Jennifer Wilson; DanaKai Bradford (MedInfo, 2023)