
Explore AI model monitoring in healthcare, focusing on practical implementation, ethical considerations, and real-world challenges faced by industry professionals.

Explore techniques for balancing transparency and accuracy in predictive decision-making, focusing on strategic prediction methods for ethical and effective data-driven solutions.

Explore the legal implications of fairness metrics in machine learning under EU non-discrimination law, focusing on bias preservation and its impact on algorithmic decision-making.

Explore the limitations and potential pitfalls of explainable machine learning, focusing on when to be cautious about trusting ML explanations in real-world applications.

Learn techniques for evaluating adaptive systems, including user modeling, personalization, and group-based approaches to improve search rankings and address data sparsity challenges.

Explore data and algorithmic bias in recommender systems through real-world examples, practical use cases, and mitigation techniques. Gain hands-on experience with Jupyter notebooks using data from actual platforms.

Keynote on Computational Ethos exploring how speaker character influences communication, with applications in ethos mining, analytics, and explainable AI for customized interactive argumentation schemes.

Explore cutting-edge recommender systems through counterfactual policy learning. Learn theoretical frameworks, algorithms, and practical applications using RecoGym simulation environment.

Explore cutting-edge AI innovations and their impact on technology and society in this keynote address by Google's Ashwin Ram at the IUI 2019 conference.

Introduces Tea, a declarative language for automating statistical analysis. Simplifies hypothesis testing by determining valid tests based on study design and assumptions, lowering barriers to accurate statistical research.

Innovative sensing system detects events wirelessly through walls using self-powered radio tags, enabling wide-area human activity monitoring with high accuracy and rich signal detection capabilities.

Explores AR visualizations for aiding stair navigation in low vision individuals, comparing projection-based AR and smartglasses. Findings show increased walking speed and psychological security for users.

Explore the creative journey behind GRIS, a wordless narrative game. Discover artistic tools, design challenges, and innovative approaches used to craft an emotionally engaging experience accessible to all players.

Innovative deep learning approach for quality assurance in manufacturing, focusing on tracking and measuring near-symmetrical objects like LEGO bricks using visual guides and fine-grained feature detection.

Explore BEXHI, a novel mechanical structure for prototyping expandable and bendable handheld devices, combining bend and expansion capabilities for innovative interface design.

Exploring how analysts externalize thoughts during data analysis, with insights on integrating digital pen input and linking visualizations to enhance the analytical process.

Explores how social interactions enhance touch gesture learnability for older adults with low digital literacy, focusing on the drag gesture in interactive tabletop games.

Mixed-reality system combining physical and digital objects to enhance collaborative learning in schools. Designed through participatory approach, CARDS shows potential for fostering active, hands-on educational activities.

Explores Halo3D technique for displaying off-screen points of interest in handheld AR, comparing its effectiveness to other methods in reducing clutter and improving user navigation and understanding.

Envisions a future where digital interactions are seamlessly integrated into our environment, eliminating the need for standalone apps and revolutionizing user interfaces.

Insights on touch interface development and lessons for AR/VR UI design. Explores misconceptions about "natural" interfaces and proposes strategies for creating functional, appropriate experiences in emerging technologies.