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Bucknell AI & Cognitive Science
Creating artificial minds @ Bucknell University
BACS Lab Research
BACS Lab Teaching
CSCI 379
CSCI 357
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Katherine Lordi
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Bucknell AI & CogSci
Nov 7, 2019
AI & Pitch Statistics: Learning from Decision Trees and Neural Networks
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John Angileri
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Bucknell AI & CogSci
Dec 4, 2018
Phase 3: Appearance Based Bias in Artificially Intelligent Systems
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Mateen Qureshi
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Bucknell AI & CogSci
Nov 5, 2018
Modelling Emergent Behavior in Financial Agents with Q-Learning: Phase 1
Background
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Matt Brown
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Bucknell AI & CogSci
Dec 22, 2019
Arrhythmia Categorization Using Convolutional Neural Networks
By Matt Brown, Katherine Lordi, Vince…
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Hung Giang
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Bucknell AI & CogSci
Nov 7, 2019
AIArt: A Neural Network Perspective into artstyle
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4
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Bhagawat Acharya
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Bucknell AI & CogSci
Dec 22, 2019
AITutor: Intelligent Tutoring System
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Hanzheng Wang
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Bucknell AI & CogSci
May 15, 2021
Predict the Trend of Stocks’ Prices By AI
Introduction
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David Schwartz
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Bucknell AI & CogSci
Dec 9, 2018
Towards a Physio-cognitive Model of the Exploration Exploitation Trade-off
Developing a Model
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Melanie Cheng
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Bucknell AI & CogSci
Nov 1, 2018
Image Classification With Convolutional Neural Networks: What do they do? How do they do it? Let’s find out!
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Matt Brown
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Bucknell AI & CogSci
Nov 11, 2019
Spitting Fire with AI
By: Matt Brown, Margaret Knoblock, and George Mazzeo
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Bucknell AI & CogSci
Research, Teaching, and any other cool things related to AI and Cognitive Science @ Bucknell
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