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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 ...
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05/27/2023
Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023
The RoboCup competitions hold various leagues, and the Soccer Simulation...
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03/02/2023
Evolutionary Augmentation Policy Optimization for Self-supervised Learning
Self-supervised learning (SSL) is a Machine Learning algorithm for pretr...
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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...
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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...
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06/06/2022
CYRUS Soccer Simulation 2D Team Description Paper 2021
In this report, we briefly present the technical procedure and simulatio...
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05/22/2022
CYRUS Soccer Simulation 2D Team Description Paper 2022
Soccer Simulation 2D League is one of the major leagues of RoboCup compe...
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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...
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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...
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12/13/2021
Survey of Generative Methods for Social Media Analysis
This survey draws a broad-stroke, panoramic picture of the State of the ...
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06/27/2021
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels
Maritime autonomous transportation has played a crucial role in the glob...
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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 ...
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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...
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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...
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08/02/2020
SemEval-2020 Task 5: Counterfactual Recognition
We present a counterfactual recognition (CR) task, the shared Task 5 of ...
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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 ...
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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...
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06/09/2020
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
We present an approach for unsupervised domain adaptation—with a strong ...
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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...
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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...
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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...
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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 ...
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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...
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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...
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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...
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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...
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05/25/2019
Efficient Neural Task Adaptation by Maximum Entropy Initialization
Transferring knowledge from one neural network to another has been shown...
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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...
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02/13/2019
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection
In this paper, we adapt Recurrent Neural Networks with Stochastic Layers...
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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...
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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...
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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...
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08/09/2018
On feature selection and evaluation of transportation mode prediction strategies
Transportation modes prediction is a fundamental task for decision makin...
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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...
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03/12/2018
Predicting Crime Using Spatial Features
Our study aims to build a machine learning model for crime prediction us...
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02/27/2018
Predicting Transportation Modes of GPS Trajectories using Feature Engineering and Noise Removal
Understanding transportation mode from GPS (Global Positioning System) t...
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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...
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02/02/2018
Interpretable Deep Convolutional Neural Networks via Meta-learning
Model interpretability is a requirement in many applications in which cr...
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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...
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02/24/2017
Studying Positive Speech on Twitter
We present results of empirical studies on positive speech on Twitter. B...
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02/16/2017
Reflexive Regular Equivalence for Bipartite Data
Bipartite data is common in data engineering and brings unique challenge...
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08/08/2016