19 citations · 147 across the 38 of their papers we have counts for
10 papers · 1 filter
Working Alliance Transformer for Psychotherapy Dialogue Classification
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf
As a predictive measure of the treatment outcome in psychotherapy, the working alliance measures the agreement of the patient and the therapist in terms of their bond, task and goa…
Computational Inference in Cognitive Science: Operational, Societal and Ethical Considerations
Baihan Lin
Emerging research frontiers and computational advances have gradually transformed cognitive science into a multidisciplinary and data-driven field. As a result, there is a prolifer…
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook
Baihan Lin
In recent years, reinforcement learning and bandits have transformed a wide range of real-world applications including healthcare, finance, recommendation systems, robotics, and la…
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf
We propose a recommendation system that suggests treatment strategies to a therapist during the psychotherapy session in real-time. Our system uses a turn-level rating mechanism th…
Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook
Baihan Lin
Knowledge management systems (KMS) are in high demand for industrial researchers, chemical or research enterprises, or evidence-based decision making. However, existing systems hav…
Evolutionary Multi-Armed Bandits with Genetic Thompson Sampling
Baihan Lin
As two popular schools of machine learning, online learning and evolutionary computations have become two important driving forces behind real-world decision making engines for app…
Deep Annotation of Therapeutic Working Alliance in Psychotherapy
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf
The therapeutic working alliance is an important predictor of the outcome of the psychotherapy treatment. In practice, the working alliance is estimated from a set of scoring quest…
Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics
Baihan Lin
The absence of a conventional association between the cell-cell cohabitation and its emergent dynamics into cliques during development has hindered our understanding of how cell po…
Neural Topic Modeling of Psychotherapy Sessions
Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi +1
In this work, we compare different neural topic modeling methods in learning the topical propensities of different psychiatric conditions from the psychotherapy session transcripts…
Geometric and Topological Inference for Deep Representations of Complex Networks
Baihan Lin
Understanding the deep representations of complex networks is an important step of building interpretable and trustworthy machine learning applications in the age of internet. Glob…