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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... -
Retrieval Augmented Modeling
Till this point in our book, we have discussed the fundamental principles of information retrieval, exploring its key elements, and various... -
Outlook
While multimodal information retrieval has several exciting applications and a high potential for impact on important problems, there are several... -
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... -
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... -
Introduction
In this book, our emphasis is on multimodal information retrieval, specifically concentrating on text and image data. The traditional unimodal... -
VizChat: Enhancing Learning Analytics Dashboards with Contextualised Explanations Using Multimodal Generative AI Chatbots
Learning analytics dashboards (LADs) serve as pivotal tools in transforming complex learner data into actionable insights for educational... -
Assessing Distance Measures for Change Point Detection in Continual Learning Scenarios
Detecting relevant change points in time-series data is a necessary task in various applications. Change point detection methods are effective... -
Learning Typicality Inclusions in a Probabilistic Description Logic for Concept Combination
Our paper introduces an innovative automated system designed to extract logical rules using the... -
CSEPrompts: A Benchmark of Introductory Computer Science Prompts
Recent advances in AI, machine learning, and NLP have led to the development of a new generation of Large Language Models (LLMs) that are trained on... -
\(\text {SPL}^{{index}}\) : A Spatial Polygon Learned Index
Effective indexing is crucial for any AI and big data analysis task involving huge datasets. Recently, machine-learned models for indexing have... -
Token Pruning by Dimensionality Reduction Methods on TCT-ColBERT for Reranking
High-dimensional embeddings from dense retrieval models pose challenges in information retrieval and reranking because they need a lot of resources... -
A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery
Process discovery algorithms discover process models from event logs recorded from the real-life processes. Traditional process discovery algorithms... -
ScoredKNN: An Efficient KNN Recommender Based on Dimensionality Reduction for Big Data
E-commerce companies have an inevitable need in employing recommender systems in order to enhance the user experience, increase customer... -
Research on Application of Deep Learning in Esophageal Cancer Pathological Detection
As the “gold standard” of tumor diagnosis, pathological diagnosis is more reliable than the analytical diagnosis, ultrasound, CT, nuclear magnetic... -
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... -
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... -
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... -
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... -
Visualization Techniques for Analyzing Learning Effects – Taking Python as an Example
With the advent of the information age, data visualization technology has gradually shown its unique features in various information fields, and its...