1. [PDF] KEY FINDINGS AND CONCLUSIONS
The global number of “ecstasy” users is lower, estimated at about 20 million in 2022, but there is a re-emergence of its use, following a hiatus during the ...
2. [PDF] BABY FRIENDLY SPACES - The MHPSS Collaborative
This manual was written by Astrid De Brabandere, Alexandra David, Elisabetta Dozio, under the coordination of Cécile Bizouerne. We should like to thank all ...
3. [PDF] EmoBench: Evaluating the Emotional Intelligence of Large Language ...
11 aug 2024 · Our framework draws upon several established psy- chological theories for EI (Salovey and Mayer,. 1990; Goleman, 1996; Schuller and Schuller, ...
4. [PDF] For Review Only
Complete List of Authors: Niu, Qingyu; Hebei University of Technology, School of Chemical. Engineering and Technology.
5. Proceedings of the Addiction Health Services Research (AHSR) 2020
30 dec 2020 · Methods: We conducted two focus groups (composed ... Diana Diaz Martin, Lyndsay Chapman, Tom Ren, Michael J Mello, Brian Borsari, Frederic C.
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6. Emotion AWARE: an artificial intelligence framework for ...
10 jul 2024 · In this paper, we address this challenge by proposing a novel AI framework for the adaptable, robust, and explainable detection of multi-granular assembles of ...
Emotions are fundamental to human behaviour. How we feel, individually and collectively, determines how humanity evolves and advances into our shared future. The rapid digitalisation of our personal, social and professional lives means we are frequently using digital media to express, understand and respond to emotions. Although recent developments in Artificial Intelligence (AI) are able to analyse sentiment and detect emotions, they are not effective at comprehending the complexity and ambiguity of digital emotion expressions in knowledge-focused activities of customers, people, and organizations. In this paper, we address this challenge by proposing a novel AI framework for the adaptable, robust, and explainable detection of multi-granular assembles of emotions. This framework consolidates lexicon generation and finetuned Large Language Model (LLM) approaches to formulate multi-granular assembles of two, eight and fourteen emotions. The framework is robust to ambiguous emotion expressions that are implied in conversation, adaptable to domain-specific emotion semantics, and the assembles are explainable using constituent terms and intensity. We conducted nine empirical studies using datasets representing diverse human emotion behaviours. The results of these studies comprehensively demonstrate and evaluate the core capabilities of the framework, and consistently outperforms state-of-the-art approaches in adaptable, robust, and explainable multi-granular emotion detection.
7. [PDF] Think Safe 2020 - University of Rochester
The University-wide Advisory Committee on Campus Safety is composed of students, faculty, and staff appointed by the President of the University. Its goal ...
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8. Emotional Similarity Word Embedding Model for Sentiment Analysis
The Dictionary of Emotional Expressions (Akira Nakamura) [] is a collection of emotional expressions, in written text, from 806 works by 197 modern and ...
References
9. [PDF] London 2024 - Janklow & Nesbit UK
12 mrt 2024 · crime fiction of 2020. His novel, Red Menace is the second of a ... benefits of self-care, this book is composed of four different.
10. [PDF] Music as a coevolved system for social bonding - Projects at Harvard
... 2020. Target Article Manuscript Online: 20 August 2020. Commentaries Accepted ... ren he yi 天人合一 (the unity between nature and human) (Lindqvist ...
11. [PDF] The Names of Minimalism - OAPEN Home
(Berlin: Savvy Contemporary, 2020). I think also of Kyle Gann's recov- ery ... “Amid the Drone, a Feud over Who Composed It.” New York. Times, 13 August ...
12. [PDF] Ganong's Review of Medical Physiology, 23rd Edition
... composed of specialized effector cells that sense and respond to foreign ... Ren- shaw cell after its discoverer. Impulses generated in the motor.
13. [PDF] EXPLANATIONS OF BLACK-BOX MODELS BASED ON ...
Another type of explainers are Graph Neural Network (GNN) explainers (Yuan et al., 2020). These methods assume that the black-box model has a GNN architecture; ...