Outputs (279)

The Implications of ‘Soft’ Requirements (2022)
Presentation / Conference Contribution

A new focus for RE is investigated as ‘soft’ requirements which extends non-functional requirements / soft goals with a collection of people-oriented phenomena: values, motivations, emotions, and other socio-political issues that may influence the re... Read More about The Implications of ‘Soft’ Requirements.

Efficient Uncertainty Quantification for Multilabel Text Classification (2022)
Presentation / Conference Contribution

Despite rapid advances of modern artificial intelligence (AI), there is a growing concern regarding its capacity to be explainable, transparent, and accountable. One crucial step towards such AI systems involves reliable and efficient uncertainty qua... Read More about Efficient Uncertainty Quantification for Multilabel Text Classification.

Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification (2022)
Presentation / Conference Contribution

Graph neural networks (GNNs) have attracted extensive interest in text classification tasks due to their expected superior performance in representation learning. However, most existing studies adopted the same semi-supervised learning setting as the... Read More about Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification.

SOS: Systematic Offensive Stereotyping Bias in Word Embeddings (2022)
Presentation / Conference Contribution

Systematic Offensive stereotyping (SOS) in word embeddings could lead to associating marginalised groups with hate speech and profanity, which might lead to blocking and silencing those groups, especially on social media platforms. In this [id=stk]wo... Read More about SOS: Systematic Offensive Stereotyping Bias in Word Embeddings.

A Localisation Study of Deep Learning Models for Chest X-ray Image Classification (2022)
Presentation / Conference Contribution

Deep learning models have demonstrated superhuman performance in a multitude of image classification tasks, including the classification of chest X-ray images. Despite this, medical professionals are reluctant to embrace these models in clinical sett... Read More about A Localisation Study of Deep Learning Models for Chest X-ray Image Classification.

A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics (2022)
Presentation / Conference Contribution

In the academic process, comprehension and analysis of liter- ature is essential, however, time-consuming. Reviewers may encounter difficulties in identifying relevant literature, given the considerable volume of available texts. It is arduous not on... Read More about A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics.

ARRoW: automatic runtime reappraisal of weights for self-adaptation (2019)
Presentation / Conference Contribution

An architectural framework for quality-driven adaptive continuous experimentation (2019)
Presentation / Conference Contribution

Towards an assessment grid for intelligent modeling assistance (2020)
Presentation / Conference Contribution

Towards priority-awareness in autonomous intelligent systems (2021)
Presentation / Conference Contribution

Eigth International Workshop on Artificial Intelligence and Requirements Engineering (AIRE'21) (2021)
Presentation / Conference Contribution

Two musical episodes at the piano keyboard in the study of human information-processing: Information as ‘cognitive good’ in interdisciplinary research (2021)
Presentation / Conference Contribution

In the early 1950s, the biologist Henry Quastler asked pianists to sight-read randomly generated musical scores as quickly and as accurately as possible. Quastler computed their performance as their “information transmission rate,” measured in bits-p... Read More about Two musical episodes at the piano keyboard in the study of human information-processing: Information as ‘cognitive good’ in interdisciplinary research.

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations (2022)
Presentation / Conference Contribution

XAI with natural language processing aims to produce human-readable explanations as evidence for AI decisionmaking, which addresses explainability and transparency. However, from an HCI perspective, the current approaches only focus on delivering a s... Read More about INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations.

Vibration-based communication for deafblind people (2022)
Presentation / Conference Contribution

Deafblind people have both hearing and visual impairments, which makes communication with other people often dependent on expensive technologies e.g., Braille displays, or on caregivers acting as interpreters. This paper presents Morse I/O (MIO), a v... Read More about Vibration-based communication for deafblind people.

On the benefits of using Hidden Markov Models to predict emotions (2022)
Presentation / Conference Contribution

The availability of low-cost wireless physiological sensors has allowed the use of emotion recognition technologies in various applications. In this work, we describe a technique to predict emotional states in Russell’s two-dimensional emotion space... Read More about On the benefits of using Hidden Markov Models to predict emotions.

A Hierarchical Model-Based System for Discovering Atypical Behavior (2008)
Presentation / Conference Contribution

Synthetic Training Data Generation for Activity Monitoring and Behavior Analysis (2009)
Presentation / Conference Contribution

The ``Good'' Brother: Monitoring People Activity in Private Spaces (2012)
Presentation / Conference Contribution

Detecting Events in Crowded Scenes using Tracklet Plots (2014)
Presentation / Conference Contribution

Fuzzy-Rough based Decision System for Gait adopting Instance Selection (2016)
Presentation / Conference Contribution