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Now showing items 11-20 of 22
Helping Biologists Find Whales: AI-in-the-Loop Support for Environmental Dataset Creation
(2021-12-13)
We develop a computer vision system to help biologists detect endangered whales. Given access to a limited dataset of aerial imagery (1544 images of mainly water), we implemented object detection and semantic segmentation ...
COMMUNICATION CHANNEL FAILURE PREDICTION IN 5G NETWORKS
(2022-03-25)
5G networks enable emerging latency and bandwidth critical applications like industrial IoT, AR/VR, or autonomous vehicles in addition to supporting traditional voice
and data communications. In the 5G infrastructure, ...
Music Composer Recognition from MIDI Representation using Deep Learning and N-gram Based Methods
(2022-10-07)
In order to answer conceptually basic queries like “Who created this piece?” the
discipline of computational musicology frequently requires the analysis of detailed
characteristics. Melodic lines, rhythmic patterns, ...
Human-in-the-loop Classification for Multi-page Administrative Documents
(2022-12-14)
Real estate administrative documents present a unique challenge where each condo corporation's documents come from multiple sources and in varying formats. Moreover, each record has varying sizes, making it very time-consuming ...
PERSONALIZED TOPIC MODELLING OF DOMAIN-SPECIFIC DOCUMENT COLLECTIONS
(2023-04-10)
Topic modelling refers to the discovery of abstract topics in a document collection. The abstract topics are often described by a statistical model that models the probabilistic relationship between topics, documents and ...
Common N-Gram Method: A Promising Approach to Detecting Mental Health Disorders on Social Media
(2023-04-13)
This paper addresses the mental health challenges posed by the COVID-19 pandemic and the lack of reliable and accessible diagnostic tools for mental health conditions. The dataset used in this research consists of over 2 ...
Structural Embedding of Constituency Trees in the Attention-based Model for Machine Comprehension
(2023-08-18)
Incorporating hierarchical structures for various Natural Language Processing (NLP)
tasks, which involves training the model with syntactic information of constituency
trees, has been shown to be very effective. Constituency ...
A TRANSFORMER-BASED GRAPH NEURAL NETWORK AGGREGATION FRAMEWORK FOR 5G RADIO LINK FAILURE PREDICTION
(2023-08-31)
The prediction of Radio Link Failures (RLF) in Radio Access Networks (RANs) is crucial to ensure smooth communication and meet the demanding requirements of high data rates, low latency, and improved performance in 5G ...
Techniques to Overcome Data Scarcity in Deep Learning for Passive Acoustic Monitoring of Marine Mammals
(2023-10-20)
Passive Acoustic Monitoring (PAM) is a useful technique for monitoring marine mammals. However, the large volume of data collected through PAM systems make automated algorithms for detecting and classifying sounds essential. ...
CONTEXT-AWARE SEMANTIC TEXT MINING AND REPRESENTATION LEARNING FOR TEXT DISAMBIGUATION AND ONLINE HARASSMENT CLASSIFICATION
(2023-12-15)
This dissertation presents a new method for text representation learning and applies it to two Natural Language Processing (NLP) problems, namely, word sense disambiguation and text classification. Word Sense Disambiguation ...