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Representational Rényi heterogeneity
A discrete system's heterogeneity is measured by the Rényi heterogeneity...
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Visual Feature Fusion and its Application to Support Unsupervised Clustering Tasks
On visual analytics applications, the concept of putting the user on the...
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Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation
Research into automated systems for detecting and classifying marine mam...
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Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning
The global expansion of maritime activities and the development of the A...
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A Novel Model for Arbitration between Planning and Habitual Control Systems
It is well established that humans decision making and instrumental cont...
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TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks
Understanding and discovering knowledge from GPS (Global Positioning Sys...
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Reflexive Regular Equivalence for Bipartite Data
Bipartite data is common in data engineering and brings unique challenge...
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Statistical Learning for OCR Text Correction
The accuracy of Optical Character Recognition (OCR) is crucial to the su...
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Avoiding Confusion between Predictors and Inhibitors in Value Function Approximation
In reinforcement learning, the goal is to seek rewards and avoid punishm...
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A Characterization of the Combined Effects of Overlap and Imbalance on the SVM Classifier
In this paper we demonstrate that two common problems in Machine Learnin...
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Using a Dynamic Neural Field Model to Explore a Direct Collicular Inhibition Account of Inhibition of Return
When the interval between a transient ash of light (a "cue") and a secon...
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Vector Embedding of Wikipedia Concepts and Entities
Using deep learning for different machine learning tasks such as image c...
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Interpretable Deep Convolutional Neural Networks via Meta-learning
Model interpretability is a requirement in many applications in which cr...
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One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data
Due to recent technical and scientific advances, we have a wealth of inf...
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The Importance of Constraint Smoothness for Parameter Estimation in Computational Cognitive Modeling
Psychiatric neuroscience is increasingly aware of the need to define psy...
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On the Importance of Attention in Meta-Learning for Few-Shot Text Classification
Current deep learning based text classification methods are limited by t...
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Dependently Typed Folds for Nested Data Types
We present an approach to develop folds for nested data types using depe...
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On feature selection and evaluation of transportation mode prediction strategies
Transportation modes prediction is a fundamental task for decision makin...
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Recovery guarantees for polynomial approximation from dependent data with outliers
Learning non-linear systems from noisy, limited, and/or dependent data i...
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Improving the Interpretability of Deep Neural Networks with Knowledge Distillation
Deep Neural Networks have achieved huge success at a wide spectrum of ap...
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2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements
In the advent of big data era, interactive visualization of large data s...
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EL Embeddings: Geometric construction of models for the Description Logic EL ++
An embedding is a function that maps entities from one algebraic structu...
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The conditionally autoregressive hidden Markov model (CarHMM): Inferring behavioural states from animal tracking data exhibiting conditional autocorrelation
One of the central interests of animal movement ecology is relating move...
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Efficient Neural Task Adaptation by Maximum Entropy Initialization
Transferring knowledge from one neural network to another has been shown...
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(A) Data in the Life: Authorship Attribution of Lennon-McCartney Songs
The songwriting duo of John Lennon and Paul McCartney, the two founding ...
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Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls
Performance RNN is a machine-learning system designed primarily for the ...
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Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring
The worldwide growth of maritime traffic and the development of the Auto...
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Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples
Key features of mental illnesses are reflected in speech. Our research f...
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Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
Time series forecasting is one of the most active research topics. Machi...
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Path and Ancestor Queries on Trees with Multidimensional Weight Vectors
We consider an ordinal tree T on n nodes, with each node assigned a d-...
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Vector Autoregressive Models with Spatially Structured Coefficients for Time Series on a Spatial Grid
We propose a parsimonious spatiotemporal model for time series data on a...
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Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls
Passive acoustics provides a powerful tool for monitoring the endangered...
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Black Box Explanation by Learning Image Exemplars in the Latent Feature Space
We present an approach to explain the decisions of black box models for ...
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Sampling in Software Engineering Research: A Critical Review and Guidelines
Representative sampling appears rare in software engineering research. N...
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On the Multiplicative Decomposition of Heterogeneity in Continuous Assemblages
A system's heterogeneity (equivalently, diversity) amounts to the effect...
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Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
Internet forums and public social media, such as online healthcare forum...
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Pandemic Programming: How COVID-19 affects software developers and how their organizations can help
Context. As a novel coronavirus swept the world in early 2020, thousands...
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Explainable Matrix – Visualization for Global and Local Interpretability of Random Forest Classification Ensembles
Over the past decades, classification models have proven to be one of th...
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A tutorial introduction to quantum circuit programming in dependently typed Proto-Quipper
We introduce dependently typed Proto-Quipper, or Proto-Quipper-D for sho...
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Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction
Finding the factors contributing to criminal activities and their conseq...
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Simultaneous Moves with Cops and an Insightful Robber
The 'Cheating Robot' is a simultaneous play, yet deterministic, version ...
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Improving Event Detection using Contextual Word and Sentence Embeddings
The task of Event Detection (ED) is a subfield of Information Extraction...
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Establishing Secrecy Region for Directional Modulation Scheme with Random Frequency Diverse Array
Random frequency diverse array (RFDA) based directional modulation (DM) ...
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SemEval-2020 Task 5: Counterfactual Recognition
We present a counterfactual recognition (CR) task, the shared Task 5 of ...
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Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation
Taking advantage of social media platforms, such as Twitter, this paper ...
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Impartial games with entailing moves
Combinatorial Game Theory has also been called `additive game theory', w...
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