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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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Surrogate Constraints for Synchronized Energy Production/Consumption
We deal here with job scheduling under encapsulated renewable and non-renewable resource constraints, while relying on a case study related to energy...
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Neuron Pairs in Binarized Neural Networks Robustness Verification via Integer Linear Programming
In the context of classification, robustness verification of a neural network is the problem which consists in determining if small changes of inputs...
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Optimal Charging Station Location in a Linear Cycle Path with Deviations
Bicycle tourism is on the rise thanks to assisted-pedaling bikes, also known as e-bikes. While pedalling is still required on these bikes, they allow...
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On a Geometric Graph-Covering Problem Related to Optimal Safety-Landing-Site Location
We develop a set-cover based integer-programming approach to an optimal safety-landing-site location arising in the design of urban...
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A Bigraphs Paper of Sorts
Bigraphs are an expressive graphical modelling formalism to represent systems with a mix of both spatial and non-local connectivity. Currently it is...
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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...
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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...
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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...
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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...
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\(\text {SPL}^{{index}}\) : 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...
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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...
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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...
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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...
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UCB Strategies in a Gaussian Two-Armed Bandit Problem
We consider the two-armed bandit problem in the application to batch data processing if there are two alternative processing methods with different a...