Alex S Cohen
Biographic Data
| ID | 4264050 |
|---|---|
| NAME | Alex S Cohen |
| GIVEN NAMES | Alex S |
| FAMILY NAME | Cohen |
| SIGNATURE | COHEN A S |
| AFFILIATIONS | Louisiana State University |
| ORCID | 0000-0003-4014-6904 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 10 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
A framework for language technologies in behavioral research and clinical applications
Technological advances in the assessment and understanding of speech and language within the domains of automatic speech recognition, natural language processing, and machine learning present a remarkable opportunity for psychologists to learn more about human thought and communication, evaluate a variety of clinical conditions, and predict cognitive and psychological states. These innovations can be leveraged to automate traditionally time-inten…
Validating Biobehavioral Technologies for Use in Clinical Psychiatry
The last decade has witnessed the development of sophisticated biobehavioral and genetic, ambulatory, and other measures that promise unprecedented insight into psychiatric disorders. As yet, clinical sciences have struggled with implementing these objective measures and they have yet to move beyond "proof of concept." In part, this struggle reflects a traditional, and conceptually flawed, application of traditional psychometrics (i.e., reliabili…
Alterations in facial expressions of emotion
Alterations in facial expressions of emotion are a hallmark of psychopathology and may be present before the onset of mental illness. Technological advances have spurred interest in examining alterations based on "thin slices" of behavior using automated approaches. However, questions remain. First, can alterations be detected in ultrathin slices of behavior? Second, how do automated approaches converge with human coding techniques? The present s…
Psychiatric Risk Assessment from the Clinician’s Perspective
Life Satisfaction as a Distinguishing Indicator of College Student Functioning
Measuring researcher interdisciplinarity
Measuring researcher interdisciplinarity
Life Satisfaction as a Distinguishing Indicator of College Student Functioning
Psychiatric Risk Assessment from the Clinician’s Perspective
Alterations in facial expressions of emotion
Alterations in facial expressions of emotion are a hallmark of psychopathology and may be present before the onset of mental illness. Technological advances have spurred interest in examining alterations based on "thin slices" of behavior using automated approaches. However, questions remain. First, can alterations be detected in ultrathin slices of behavior? Second, how do automated approaches converge with human coding techniques? The present s…
Validating Biobehavioral Technologies for Use in Clinical Psychiatry
The last decade has witnessed the development of sophisticated biobehavioral and genetic, ambulatory, and other measures that promise unprecedented insight into psychiatric disorders. As yet, clinical sciences have struggled with implementing these objective measures and they have yet to move beyond "proof of concept." In part, this struggle reflects a traditional, and conceptually flawed, application of traditional psychometrics (i.e., reliabili…
A framework for language technologies in behavioral research and clinical applications
Technological advances in the assessment and understanding of speech and language within the domains of automatic speech recognition, natural language processing, and machine learning present a remarkable opportunity for psychologists to learn more about human thought and communication, evaluate a variety of clinical conditions, and predict cognitive and psychological states. These innovations can be leveraged to automate traditionally time-inten…
MEDLINE (4 works) · Psychology (4 works) · Computer Science (3 works) · Psychiatry (3 works) · Clinical Psychology (2 works) · Clinical Psychology (2 works) · Cognitive psychology (2 works) · Data science (2 works) · Mental health (2 works) · Mental Health and Psychiatry (2 works)