Dalhousie University

research

∙ 12/10/2019

Representational Rényi heterogeneity

A discrete system's heterogeneity is measured by the Rényi heterogeneity...

Abraham Nunes, et al. ∙

research

∙ 10/13/2021

Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning

Probabilistic estimation of cardiac electrophysiological model parameter...

Md Shakil Zaman, et al. ∙

research

∙ 01/16/2019

Visual Feature Fusion and its Application to Support Unsupervised Clustering Tasks

On visual analytics applications, the concept of putting the user on the...

Gladys Hilasaca, et al. ∙

research

∙ 09/16/2021

Beyond Average Performance – exploring regions of deviating performance for black box classification models

Machine learning models are becoming increasingly popular in different t...

Luis Torgo, et al. ∙

research

∙ 07/30/2019

Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation

Research into automated systems for detecting and classifying marine mam...

Mark Thomas, et al. ∙

research

∙ 06/14/2021

HUMAP: Hierarchical Uniform Manifold Approximation and Projection

Dimensionality reduction (DR) techniques help analysts to understand pat...

Wilson E. Marcílio-Jr, et al. ∙

research

∙ 04/07/2020

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...

Lucas May Petry, et al. ∙

research

∙ 12/06/2017

A Novel Model for Arbitration between Planning and Habitual Control Systems

It is well established that humans decision making and instrumental cont...

Farzaneh S. Fard, et al. ∙

research

∙ 05/07/2017

TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks

Understanding and discovering knowledge from GPS (Global Positioning Sys...

Xiang Jiang, et al. ∙

research

∙ 02/16/2017

Reflexive Regular Equivalence for Bipartite Data

Bipartite data is common in data engineering and brings unique challenge...

Aaron Gerow, et al. ∙

research

∙ 11/21/2016

Statistical Learning for OCR Text Correction

The accuracy of Optical Character Recognition (OCR) is crucial to the su...

Jie Mei, et al. ∙

research

∙ 12/19/2013

Avoiding Confusion between Predictors and Inhibitors in Value Function Approximation

In reinforcement learning, the goal is to seek rewards and avoid punishm...

Patrick C. Connor, et al. ∙

research

∙ 09/16/2011

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...

Misha Denil, et al. ∙

research

∙ 07/22/2013

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...

Jason Satel, et al. ∙

research

∙ 02/12/2017

Vector Embedding of Wikipedia Concepts and Entities

Using deep learning for different machine learning tasks such as image c...

Ehsan Sherkat, et al. ∙

research

∙ 02/02/2018

Interpretable Deep Convolutional Neural Networks via Meta-learning

Model interpretability is a requirement in many applications in which cr...

Xuan Liu, et al. ∙

research

∙ 02/25/2018

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...

Ahmad Pesaranghader, et al. ∙

research

∙ 03/24/2018

The Importance of Constraint Smoothness for Parameter Estimation in Computational Cognitive Modeling

Psychiatric neuroscience is increasingly aware of the need to define psy...

Abraham Nunes, et al. ∙

research

∙ 06/03/2018

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification

Current deep learning based text classification methods are limited by t...

Xiang Jiang, et al. ∙

research

∙ 06/13/2018

Dependently Typed Folds for Nested Data Types

We present an approach to develop folds for nested data types using depe...

Peng Fu, et al. ∙

research

∙ 08/09/2018

On feature selection and evaluation of transportation mode prediction strategies

Transportation modes prediction is a fundamental task for decision makin...

Mohammad Etemad, et al. ∙

research

∙ 11/25/2018

Recovery guarantees for polynomial approximation from dependent data with outliers

Learning non-linear systems from noisy, limited, and/or dependent data i...

Lam Si Tung Ho, et al. ∙

research

∙ 12/28/2018

Improving the Interpretability of Deep Neural Networks with Knowledge Distillation

Deep Neural Networks have achieved huge success at a wide spectrum of ap...

Xuan Liu, et al. ∙

research

∙ 02/04/2019

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...

Witold Dzwinel, et al. ∙

research

∙ 02/27/2019

EL Embeddings: Geometric construction of models for the Description Logic EL ++

An embedding is a function that maps entities from one algebraic structu...

Maxat Kulmanov, et al. ∙

research

∙ 03/12/2019

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...

Ethan Lawler, et al. ∙

research

∙ 05/25/2019

Efficient Neural Task Adaptation by Maximum Entropy Initialization

Transferring knowledge from one neural network to another has been shown...

Farshid Varno, et al. ∙

research

∙ 06/12/2019

(A) Data in the Life: Authorship Attribution of Lennon-McCartney Songs

The songwriting duo of John Lennon and Paul McCartney, the two founding ...

Mark E. Glickman, et al. ∙

research

∙ 07/09/2019

Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls

Performance RNN is a machine-learning system designed primarily for the ...

Nicholas Meade, et al. ∙

research

∙ 08/14/2019

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring

The worldwide growth of maritime traffic and the development of the Auto...

Lucas May Petry, et al. ∙

research

∙ 09/03/2019

Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples

Key features of mental illnesses are reflected in speech. Our research f...

Habibeh Naderi, et al. ∙

research

∙ 09/29/2019

Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters

Time series forecasting is one of the most active research topics. Machi...

Vítor Cerqueira, et al. ∙

research

∙ 10/02/2019

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-...

Meng He, et al. ∙

research

∙ 01/07/2020

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...

Yuan Yan, et al. ∙

research

∙ 01/24/2020

Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls

Passive acoustics provides a powerful tool for monitoring the endangered...

Oliver S. Kirsebom, et al. ∙

research

∙ 01/27/2020

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 ...

Riccardo Guidotti, et al. ∙

research

∙ 02/18/2020

Sampling in Software Engineering Research: A Critical Review and Guidelines

Representative sampling appears rare in software engineering research. N...

Sebastian Baltes, et al. ∙

research

∙ 02/22/2020

On the Multiplicative Decomposition of Heterogeneity in Continuous Assemblages

A system's heterogeneity (equivalently, diversity) amounts to the effect...

Abraham Nunes, et al. ∙

research

∙ 04/24/2020

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...

Hamed Jelodar, et al. ∙

research

∙ 05/03/2020

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...

Paul Ralph, et al. ∙

research

∙ 05/08/2020

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...

Mário Popolin Neto, et al. ∙

research

∙ 05/17/2020

A tutorial introduction to quantum circuit programming in dependently typed Proto-Quipper

We introduce dependently typed Proto-Quipper, or Proto-Quipper-D for sho...

Peng Fu, et al. ∙

research

∙ 06/13/2020

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...

Fateha Khanam Bappee, et al. ∙

research

∙ 06/27/2020

Simultaneous Moves with Cops and an Insightful Robber

The 'Cheating Robot' is a simultaneous play, yet deterministic, version ...

Melissa A. Huggan, et al. ∙

research

∙ 07/02/2020

Improving Event Detection using Contextual Word and Sentence Embeddings

The task of Event Detection (ED) is a subfield of Information Extraction...

Mariano Maisonnave, et al. ∙

research

∙ 07/09/2020

Establishing Secrecy Region for Directional Modulation Scheme with Random Frequency Diverse Array

Random frequency diverse array (RFDA) based directional modulation (DM) ...

Shengping Lv, et al. ∙

research

∙ 08/02/2020

SemEval-2020 Task 5: Counterfactual Recognition

We present a counterfactual recognition (CR) task, the shared Task 5 of ...

Xiaoyu Yang, et al. ∙

research

∙ 01/16/2021

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 ...

Hamed Jelodar, et al. ∙

research

∙ 01/27/2021

Impartial games with entailing moves

Combinatorial Game Theory has also been called `additive game theory', w...

Urban Larsson, et al. ∙

research

∙ 03/17/2021

A Survey on Spatio-temporal Data Analytics Systems

Due to the surge of spatio-temporal data volume, the popularity of locat...

Md Mahbub Alam, et al. ∙

Dalhousie University

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