Clinical

Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development ACL 2024 Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment ECCV 2024 Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration EMNLP 2024 Enhancing Healthcare Predictions with Deep Learning Models AAAI 2024 Enhancing Patient Recruitment Response in Clinical Trials: an Adaptive Learning Framework UAI 2024 Enhancing Social Media Health Prediction Certainty by Integrating Large Language Models with Transformer Classifiers ACL 2024 ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments EMNLP 2024 ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models EMNLP 2024 ESG-Kor: A Korean Dataset for ESG-related Information Extraction and Practical Use Cases EMNLP 2024 Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024 Estimation of Happiness Changes through Longitudinal Analysis of Employees’ Texts ACL 2024 Ethical thematic and topic modelling analysis of sleep concerns in a social media derived suicidality dataset EACL 2024 Evaluating a 3-factor listener model for prediction of speech intelligibility to hearing-impaired listeners Interspeech 2024 Evaluating Biases in Context-Dependent Sexual and Reproductive Health Questions EMNLP 2024 Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract) AAAI 2024 Event-Based Contrastive Learning for Medical Time Series MLHC 2024 Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images AAAI 2024 Experimenting with Transformer-based and Large Language Models for Classifying Effects of Outdoor Spaces on Social Anxiety in Social Media Data ACL 2024 Explainable Depression Detection Using Large Language Models on Social Media Data EACL 2024 Exploiting Foundation Models and Speech Enhancement for Parkinson's Disease Detection from Speech in Real-World Operative Conditions Interspeech 2024 Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics ICML 2024 Exploring Gender-Specific Speech Patterns in Automatic Suicide Risk Assessment Interspeech 2024 Exploring Instructive Prompts for Large Language Models in the Extraction of Evidence for Supporting Assigned Suicidal Risk Levels EACL 2024 Exploring the Emotional Dimension of French Online Toxic Content COLING 2024 Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold ICML 2024