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Article
Open AccessTacticAI: an AI assistant for football tactics
Identifying key patterns of tactics implemented by rival teams, and develo** effective responses, lies at the heart of modern football. However, doing so algorithmically remains an open research challenge. T...
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Article
Open AccessAdvancing mathematics by guiding human intuition with AI
The practice of mathematics involves discovering patterns and using these to formulate and prove conjectures, resulting in theorems. Since the 1960s, mathematicians have used computers to assist in the discove...
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Article
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records
Early prediction of patient outcomes is important for targeting preventive care. This protocol describes a practical workflow for develo** deep-learning risk models that can predict various clinical and oper...
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Article
Open AccessAI for social good: unlocking the opportunity for positive impact
Advances in machine learning (ML) and artificial intelligence (AI) present an opportunity to build better tools and solutions to help address some of the world’s most pressing challenges, and deliver positive ...
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Article
A clinically applicable approach to continuous prediction of future acute kidney injury
The early prediction of deterioration could have an important role in supporting healthcare professionals, as an estimated 11% of deaths in hospital follow a failure to promptly recognize and treat deteriorati...
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Article
Extracting the patterns of truthfulness from political information systems in Serbia
In modern information societies, there are information systems that track and log parts of the ongoing political discourse. Due to the sheer volume of the accumulated data, automated tools are required in orde...
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Chapter
Clustering Evaluation in High-Dimensional Data
Clustering evaluation plays an important role in unsupervised learning systems, as it is often necessary to automatically quantify the quality of generated cluster configurations. This is especially useful for...
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Article
Image hub explorer: evaluating representations and metrics for content-based image retrieval and object recognition
We present a novel tool for image data visualization and analysis, Image Hub Explorer. It is aimed at developers and researchers alike and it allows the users to examine various aspects of content-based image ...
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Chapter
Hubness-Aware Classification, Instance Selection and Feature Construction: Survey and Extensions to Time-Series
Time-series classification is the common denominator in many real-world pattern recognition tasks. In the last decade, the simple nearest neighbor classifier, in combination with dynamic time war** (DTW) as ...
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Chapter
Hubness-Based Clustering of High-Dimensional Data
Hubness has recently been established as a significant property of k-nearest neighbor (k-NN) graphs obtained from high-dimensional data using a distance measure, with traits and effects relevant to the cluster st...
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Article
Hubness-based fuzzy measures for high-dimensional k-nearest neighbor classification
Most data of interest today in data-mining applications is complex and is usually represented by many different features. Such high-dimensional data is by its very nature often quite difficult to handle by con...
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Article
Hubness-aware shared neighbor distances for high-dimensional \(k\) -nearest neighbor classification
Learning from high-dimensional data is usually quite challenging, as captured by the well-known phrase curse of dimensionality. Data analysis often involves measuring the similarity between different examples. Th...
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Chapter and Conference Paper
A Case for Hubness Removal in High–Dimensional Multimedia Retrieval
This work investigates the negative effects of hubness on multimedia retrieval systems. Because of a problem of measuring distances in high-dimensional spaces, hub objects are close to an exceptionally large p...
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Chapter and Conference Paper
Image Hub Explorer: Evaluating Representations and Metrics for Content-Based Image Retrieval and Object Recognition
Large quantities of image data are generated daily and visualizing large image datasets is an important task. We present a novel tool for image data visualization and analysis, Image Hub Explorer. The integrat...
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Chapter and Conference Paper
Hub Co-occurrence Modeling for Robust High-Dimensional kNN Classification
The emergence of hubs in k-nearest neighbor (kNN) topologies of intrinsically high dimensional data has recently been shown to be quite detrimental to many standard machine learning tasks, including classificatio...
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Chapter and Conference Paper
The Role of Hubs in Cross-Lingual Supervised Document Retrieval
Information retrieval in multi-lingual document repositories is of high importance in modern text mining applications. Analyzing textual data is, however, not without associated difficulties. Regardless of the...
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Chapter and Conference Paper
Hubness-Aware Shared Neighbor Distances for High-Dimensional k-Nearest Neighbor Classification
Learning from high-dimensional data is usually quite a challenging task, as captured by the well known phrase curse of dimensionality. Most distance-based methods become impaired due to the distance concentration...
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Chapter and Conference Paper
The Role of Hubness in Clustering High-Dimensional Data
High-dimensional data arise naturally in many domains, and have regularly presented a great challenge for traditional data-mining techniques, both in terms of effectiveness and efficiency. Clustering becomes d...
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Chapter and Conference Paper
Hubness-Based Fuzzy Measures for High-Dimensional k-Nearest Neighbor Classification
High-dimensional data are by their very nature often difficult to handle by conventional machine-learning algorithms, which is usually characterized as an aspect of the curse of dimensionality. However, it was sh...
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Chapter and Conference Paper
Automatic Categorization of Human-Coded and Evolved CoreWar Warriors
CoreWar is a computer simulation devised in the 1980s where programs loaded into a virtual memory array compete for control over the virtual machine. These programs are written in a special-purpose assembly la...
