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An AI Robot-Analyst System for Investment Analysis
(2022-12-20)
Financial analysts have long been performing stock price forecasts. These
analysts, being human, are limited by heuristics and biases which impact their forecast
accuracy. Recent advances in machine learning research ...
Issue2vec: Legal Issue Embeddings Using Citegrams
(2022-01-20)
Most case law decisions are divided into discrete sections that address specific legal issues. But even though those sections are generally independent from one another, unrefined machine learning and natural language ...
Understanding Decisions and Tradeoffs of Neural Style Transfer
(2021-05-21)
A Neural Algorithm of Artistic Style introduced an artificial system to create artistic images. It does so by generating a set of feature maps from a content image and a style image. These feature maps are used to generate ...
Towards Interactive Design of Graph Data Structures
(2021-08-18)
Graph Frameworks and Databases are critical components of modern software. The need to analyze massive graph datasets have spurred the development of Graph Systems. Graph Frameworks and Libraries with tuned Graph data ...
IndoLib: A Natural Language Processing Toolkit for Low-Resource South Asian Languages
(2022-10-11)
Out of 7,151 living languages, 665 languages (9.299%) are spoken by nearly 2 billion people across Southern Asia. Of these, 37.74% (251 languages) are endangered, while the vast majority remain underrepresented in language ...
Simple Score Follower: A Contextual Switching Approach to Polyphonic Score Following on the Web using Deep-Learning Pitch Detection
(2022-01-20)
In this thesis we propose a contextual switching approach that combines modern deep-learning-based pitch detection technology with chroma-based chord recognition methods for the purpose of real-time, polyphonic score ...
Tumor Profiling from Pathology Images using Deep Learning
(2021-11-23)
Pathologists diagnose tumor biopsies under the microscope, navigating different levels of magnification to survey cellular composition, local glands, and global tissue landscapes across a slide. Recently, digital whole ...
Natural Language Processing for Health System Messages: Deep Transfer Learning Approach to Aspect-Based Sentiment Analysis of COVID-19 Content
(2022-02-07)
Recent efforts in clinical natural language processing research have focused on mining social media data and other user-generated data relevant to COVID-19. An increasing number of machine learning tools have been developed ...
AI for Dementia Detection: Open AI Health Diagnostic (OAHD)
(2023-05-02)
Alzheimer’s Disease (AD) delivers a heavy burden to many patients and caregivers. This weight is widespread and its toll, carried by many, adds financial and emotional distress to the list of its effects. Diagnosis typically ...
Sports Analytics with Natural Language Processing: Using Crowd Sentiment to Help Pick Winners in Fantasy Football
(2022-05-12)
We develop a method for maximizing potential in the sports analytics picking winners problem. We do so by: i) leveraging BERT-based, large-scale sentiment anal- ysis of tweets about players. ii) statistical modeling ...