Search By Subject

Event Detection (ED) is an important task in natural language processing. In the past few years, many datasets have been introduced for advancing ED machine learning models. However, most of these datasets are under-explored because not many tools are ...

Generative ML models present a novel opportunity for a wider group of societal members to engage with AI, imagine new use cases, and applications with an increasing ability to disseminate the outcomes of such endeavors to larger audiences. However, ...

Recent advances in generative AI have resulted in a rapid and dramatic increase in the fidelity of created artifacts, from realistic-looking images of faces [10] to antimicrobial peptide sequences that treat diseases [5] to faked videos of prominent ...

This paper presents a new Vietnamese spelling correction system that allows users to correct spelling errors in their text. Our system is an interactive writing assistant that integrates advanced technologies in natural language processing to (i) ...

Introductory chemistry courses teach the process of drawing basic chemical molecules with the use of Lewis dot diagrams. However, many beginner students struggle in mastering these diagrams. While there exists educational applications that focus on ...

Explainable Artificial Intelligence (XAI) is an emerging subdiscipline of Machine Learning (ML) and human-computer interaction. Discriminative models need to be understood. An explanation of such ML models is vital when an AI system makes decisions ...

It is essential to understand research trends for researchers, decision-makers, and investors. One way to analyze research trends is to collect and analyze author-defined keywords in scientific papers. Unfortunately, while author-defined keywords are ...

This work aims to explore how a user’s understanding of a creative AI’s decision-making affects their experience when collaborating with it, through the inclusion of Explainable AI features in an interactive generative music system. We have created ...

A new frontier in human-centered AI is the development of systems that can understand the mental effort of their users in order to better support them in their day-to-day lives. Current solutions rely on specialized sensors to gain insight into a ...

With the emergence of a new generation of embodied AI agents (e.g., cognitive robots), it has become increasingly important to empower these agents with the ability to learn and collaborate with humans through language communication. Despite recent ...

High-quality data plays a vital role in developing reliable image classification models. Despite that, what makes an image difficult to classify remains an unstudied topic. This paper provides a first-of-its-kind, model-agnostic characterization of ...

Over the past few years, rapid developments in AI have resulted in new models capable of generating high-quality images and creative artefacts, most of which seek to fully automate the process of creation. In stark contrast, creative professionals rely ...

We present AutoDOViz, an interactive user interface for automated decision optimization (AutoDO) using reinforcement learning (RL). Decision optimization (DO) has classically being practiced by dedicated DO researchers [43] where experts need to spend ...

Although deep learning holds the promise of novel and impactful interfaces, realizing such promise in practice remains a challenge: since dataset-driven deep-learned models assume a one-time human input, there is no recourse when they do not understand ...

Sketch-based drawing assessments in art therapy are widely used to understand individuals’ cognitive and psychological states, such as cognitive impairment or mental disorders. Along with self-report measures based on a questionnaire, psychological ...

Novel AI-generated audio samples are evaluated for descriptive qualities such as the smoothness of a morph using crowdsourced human listening tests. However, the methods to design interfaces for such experiments and to effectively articulate the ...

Socially Interactive Agents (SIAs) offer users with interactive face-to-face conversations. They can take the role of a speaker and communicate verbally and nonverbally their intentions and emotional states; but they should also act as active listener ...

Natural Language Interfaces that facilitate data exploration tasks are rapidly gaining in interest in the research community because they enable users to focus their attention on the task of inquiry rather than the mechanics of chart construction. Yet, ...

Large-scale Text-to-image Generation Models (LTGMs) (e.g., DALL-E), self-supervised deep learning models trained on a huge dataset, have demonstrated the capacity for generating high-quality open-domain images from multi-modal input. Although they can ...

Explainable artificial intelligence is increasingly used in machine learning (ML) based decision-making systems in healthcare. However, little research has compared the utility of different explanation methods in guiding healthcare experts for patient ...