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Multimodal Information Retrieval
In today’s rapidly evolving digital landscape, the wealth of available information has expanded beyond the boundaries of traditional text-based...
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Retrieval Augmented Modeling
Till this point in our book, we have discussed the fundamental principles of information retrieval, exploring its key elements, and various...
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Outlook
While multimodal information retrieval has several exciting applications and a high potential for impact on important problems, there are several...
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Multimodal Content Generation
In this chapter, we will review the advances that are being made in this new field of multimodal content generation and also discuss several...
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Transformer-Driven Models for Language, Vision, and Multimodality
In this chapter, we will learn about the modeling and learning techniques that drive multimodal applications. We will focus specifically on the...
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Introduction
In this book, our emphasis is on multimodal information retrieval, specifically concentrating on text and image data. The traditional unimodal...
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Temporal Modification of Event Kinds
As the counterpart to kinds of entities or objects [5], event kinds are used to account for a variety of linguistic facts in the event domain. The...
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Sentence-Final Particle de in Mandarin as an Informativity Maximizer
In this study, we provide a new empirical generalization of the meaning contribution of the Mandarin sentence-final particle de from an information...
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Silence, Dissent, and Common Ground
In a certain picture of cooperative conversation, ‘silence gives assent’. However, in adversarial contexts, structured by power dynamics, silence may...
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Formalizing Henkin-Style Completeness of an Axiomatic System for Propositional Logic
I formalize a Henkin-style completeness proof for an axiomatic system for propositional logic in the proof assistant Isabelle/HOL. The formalization...
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Neural Implicit Functions for 3D Shape Reconstruction from Standard Cardiovascular Magnetic Resonance Views
In cardiovascular magnetic resonance (CMR), typical acquisitions often involve a limited number of short and long axis slices. However,...
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Deep Learning-Based Pulmonary Artery Surface Mesh Generation
Properties of the pulmonary artery play an essential role in the diagnosis and treatment planning of diseases such as pulmonary hypertension....
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A Benchmarking Study of Deep Learning Approaches for Bi-Atrial Segmentation on Late Gadolinium-Enhanced MRIs
Atrial segmentation from late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) provides essential information for patient stratification and...
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Temporal Super-Resolution for Fast T1 Map**
Cardiac T1 map** can provide important biomarkers for many cardiovascular diseases. However, the acquisition time of the T1 map** sequence is...
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The Horizon for AI in Our Society
In this section, I will check some of the current trends in technology and estimate how they can possibly impact society.
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Impacts on Specific Industries
In this section, I analyze some of the industries potentially impacted by AI/ML.
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The Impact on People
Like most high-impact technologies, AI has the potential to create new jobs. They can fall into two categories. One directly related to the...
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Neural Networks to Infer Traditional Chinese Medicine Prescriptions from Indications
Ith increasing digitization of Chinese medicine-related books and extraction and analysis of the ingredients in herbs, it now becomes feasible to use...
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Factor Analyses on Positive and Negative Evaluations of Games against Go Programs
Analyzing users’ preferences is important for many platforms to further improve users’ satisfaction or make recommendations. This is the same for...