From feedback loop transitions to biomarkers in the psycho-immune-neuroendocrine network: Detecting the critical transition from health to major depression

Autor: Stapelberg, N.J.C., Pratt, R., Neumann, D.L., Shum, D.H.K., Brandis, S., Muthukkumarasamy, V., Stantic, B., Blumenstein, M., Headrick, J.P.

Publikováno v: In Neuroscience and Biobehavioral Reviews July 2018 90:1-15

A Conformable Moments-Based Deep Learning System for Forged Handwriting Detection.

Autor: Nandanwar L, Shivakumara P, Jalab HA, Ibrahim RW, Raghavendra R, Pal U, Lu T, Blumenstein M

Publikováno v: IEEE transactions on neural networks and learning systems [IEEE Trans Neural Netw Learn Syst] 2024 Apr; Vol. 35 (4), pp. 5407-5420. Date of Electronic Publication: 2024 Apr 04.

A Deep Reinforcement Learning-based Study on Handwriting Difficulty Analysis

Autor: Adak, C, Chaudhuri, BB, Blumenstein, M

A writing system contains several patterns/graphical symbols, which represent linguistic constructs. Such patterns/symbols are orthographically related to the phonology of a spoken language. A writing system may contain a few thousands of such symbol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::4a881d4285cd9755c0aa2451c417d8e4
https://hdl.handle.net/10453/165972

Comment on: 2023 updated AGS Beers Criteria for potentially inappropriate medication use in older adults.

Autor: Burnett AE; Inpatient Thrombosis & Hemostasis Stewardship Program, University of New Mexico Health Sciences Center, Albuquerque, NM, USA., Barnes GD; Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI, USA., Allen AL; Veterans Administration Salt Lake City Health Care System, Salt Lake City, UT, USA., Ansell J; Lenox Hill Hospital, New York, NY, USA., Blumenstein M; Children's Hospital of Philadelphia, Philadelphia, PA, USA., Connors JM; Hematology Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Dager WE; UC Davis Health System, San Diego, CA, USA.; UC San Francisco, San Francisco, CA, USA.; UC Davis, San Diego, CA, USA., Kaatz S; Michigan State University-College of Human Medicine, East Lansing, MI, USA.; Wayne State University-School of Medicine, Detroit, MI, USA.; Henry Ford Hospital, Detroit, MI, USA., May JE; Division of Hematology/Oncology, University of Alabama at Birmingham, Birmingham, AL, USA., Nemeth R; Anticoagulation Clinics, Confluence Health, Wenatchee Washington, Wenatchee, WA, USA., O'Connor C; Mayo Clinic Health System-Eau Claire, Wisconsin, Eau Claire, WI, USA., Ragheb B; VA Eastern Colorado Health Care System, Aurora, CO, USA., Rajasekhar A; University of Florida Health, Gainsville, FL, USA., Sardo L; St. Joseph's Healthcare, Hamilton, Hamilton, Ontario, Canada.; McMaster School of Nursing, Hamilton, Ontario, Canada., Siegal DM; University of Ottawa, Ottowa, Ontario, Canada.; Ottawa Hospital Research Institute, Ottowa, Ontario, Canada.; The Ottawa Hospital, Ottowa, Ontario, Canada., Van Beek A; Visalia Medical Clinic/Adventist Health Physicians Network, Visalia, CA, USA.

Publikováno v: Journal of the American Geriatrics Society [J Am Geriatr Soc] 2023 Dec; Vol. 71 (12), pp. 3951-3953. Date of Electronic Publication: 2023 Sep 13.

New Deep Spatio-Structural Features of Handwritten Text Lines for Document Age Classi¯cation

Autor: Shivakumara, P, Das, A, Raghunandan, KS, Pal, U, Blumenstein, M

Document age estimation using handwritten text line images is useful for several pattern recognition and arti¯cial intelligence applications such as forged signature veri¯cation, writer identi¯cation, gender identi¯cation, personality traits iden

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::4a78d87fd3a0afb22b7961f7440a7acd
https://hdl.handle.net/10453/170768