b'Stan Matwin'

research

∙ 07/22/2023

Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation

Soccer, also known as football in some parts of the world, involves two ...

0 Nader Zare, et al. ∙

research

∙ 05/27/2023

Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023

The RoboCup competitions hold various leagues, and the Soccer Simulation...

0 Aref Sayareh, et al. ∙

research

∙ 03/02/2023

Evolutionary Augmentation Policy Optimization for Self-supervised Learning

Self-supervised learning (SSL) is a Machine Learning algorithm for pretr...

0 Noah Barrett, et al. ∙

research

∙ 11/15/2022

Cyrus2D base: Source Code Base for RoboCup 2D Soccer Simulation League

Soccer Simulation 2D League is one of the major leagues of RoboCup compe...

0 Nader Zare, et al. ∙

research

∙ 07/12/2022

A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages

Automatic Identification System (AIS) messages are useful for tracking v...

1 Martha Dais Ferreira, et al. ∙

research

∙ 06/06/2022

CYRUS Soccer Simulation 2D Team Description Paper 2021

In this report, we briefly present the technical procedure and simulatio...

0 Nader Zare, et al. ∙

research

∙ 05/22/2022

CYRUS Soccer Simulation 2D Team Description Paper 2022

Soccer Simulation 2D League is one of the major leagues of RoboCup compe...

0 Nader Zare, et al. ∙

research

∙ 04/27/2022

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation

In Federated Learning (FL), a number of clients or devices collaborate t...

15 Farshid Varno, et al. ∙

research

∙ 02/24/2022

Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks

This paper aims to model the Automatic Identification System (AIS) messa...

0 Gabriel Spadon, et al. ∙

research

∙ 12/13/2021

Survey of Generative Methods for Social Media Analysis

This survey draws a broad-stroke, panoramic picture of the State of the ...

0 Stan Matwin, et al. ∙

research

∙ 06/27/2021

Continuous Control with Deep Reinforcement Learning for Autonomous Vessels

Maritime autonomous transportation has played a crucial role in the glob...

10 Nader Zare, 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 ...

0 Hamed Jelodar, et al. ∙

research

∙ 08/28/2020

Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning

Time-series forecasting is one of the most active research topics in pre...

54 Gabriel Spadon, et al. ∙

research

∙ 08/23/2020

COVID-19 Pandemic: Identifying Key Issues using Social Media and Natural Language Processing

The COVID-19 pandemic has affected people's lives in many ways. Social m...

0 Oladapo Oyebode, et al. ∙

research

∙ 08/02/2020

SemEval-2020 Task 5: Counterfactual Recognition

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

0 Xiaoyu Yang, et al. ∙

research

∙ 07/02/2020

Learn Faster and Forget Slower via Fast and Stable Task Adaptation

Training Deep Neural Networks (DNNs) is still highly time-consuming and ...

0 Farshid Varno, 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...

0 Fateha Khanam Bappee, et al. ∙

research

∙ 06/09/2020

Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation

We present an approach for unsupervised domain adaptation—with a strong ...

1 Xiang Jiang, 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...

1 Lucas May Petry, et al. ∙

research

∙ 03/23/2020

Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments

Unmanned Surface Vehicles technology (USVs) is an exciting topic that es...

0 Mohammad Etemad, et al. ∙

research

∙ 03/23/2020

Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation

Large amounts of mobility data are being generated from many different s...

0 Mohammad Etemad, 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 ...

0 Riccardo Guidotti, 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...

0 Oliver S. Kirsebom, 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...

0 Habibeh Naderi, 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...

0 Lucas May Petry, 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...

2 Mark Thomas, 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...

0 Farshid Varno, et al. ∙

research

∙ 02/27/2019

When a Tweet is Actually Sexist. A more Comprehensive Classification of Different Online Harassment Categories and The Challenges in NLP

Sexism is very common in social media and makes the boundaries of freedo...

0 Sima Sharifirad, et al. ∙

research

∙ 02/13/2019

Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection

In this paper, we adapt Recurrent Neural Networks with Stochastic Layers...

0 Duong Nguyen, 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...

0 Witold Dzwinel, et al. ∙

research

∙ 01/28/2019

How is Your Mood When Writing Sexist tweets? Detecting the Emotion Type and Intensity of Emotion Using Natural Language Processing Techniques

Online social platforms have been the battlefield of users with differen...

0 Sima Sharifirad, 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...

0 Xuan Liu, 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...

0 Mohammad Etemad, 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...

0 Xiang Jiang, et al. ∙

research

∙ 03/12/2018

Predicting Crime Using Spatial Features

Our study aims to build a machine learning model for crime prediction us...

0 Fateha Khanam Bappee, et al. ∙

research

∙ 02/27/2018

Predicting Transportation Modes of GPS Trajectories using Feature Engineering and Noise Removal

Understanding transportation mode from GPS (Global Positioning System) t...

0 Mohammad Etemad, 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...

0 Ahmad Pesaranghader, 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...

0 Xuan Liu, 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...

0 Xiang Jiang, et al. ∙

research

∙ 02/24/2017

Studying Positive Speech on Twitter

We present results of empirical studies on positive speech on Twitter. B...

0 Marina Sokolova, et al. ∙

research

∙ 02/16/2017

Reflexive Regular Equivalence for Bipartite Data

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

0 Aaron Gerow, et al. ∙

research

∙ 08/08/2016

Topic Modelling and Event Identification from Twitter Textual Data

The tremendous growth of social media content on the Internet has inspir...

0 Marina Sokolova, et al. ∙

Stan Matwin

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