Resources

Geometric Optimisation on Manifolds with Applications to Deep Learning 2022/03/10 - 5:33pm Academic Paper Machine Learning, Geometric Optimisation, Deep Learning, Neural Network Architectures
DISCO: Comprehensive and Explainable Disinformation Detection 2022/03/10 - 5:29pm Academic Paper Machine Learning, Disinformation Detection, Explanation, Information Modeling
2 Years On - In conversation, Professor Jay Bhattacharya and Professor John Ioannidis 2022/03/09 - 5:42pm Video COVID19, Public Policy, Health Policy
Intracellular Reverse Transcription of Pfizer BioNTech COVID-19 mRNA Vaccine BNT162b2 In Vitro in Human Liver Cell Line 2022/02/25 - 10:11pm Academic Paper COVID19, Public Policy, Health Policy, mRNA Vaccines, Vaccines
The Unreasonable Effectiveness of Data 2022/02/22 - 2:18pm External Course Data Analysis
Ten Simple Rules for Initial Data Analysis 2022/02/22 - 1:35am External Course Data Analysis
MSH3 Homology and Potential Recombination Link to SARS-CoV-2 Furin Cleavage Site 2022/02/21 - 10:00pm Academic Paper COVID19, Public Policy, Health Policy, SARS-CoV-2 Spike, Furin Cleavage Site, MSH3 Gene, Sequence Homology, Recombinability
Bayesian Uncertainty Estimation for Gaussian Graphical Models and Centrality Indices 2022/02/19 - 1:18am Academic Paper Graphical Models, LASSO, GLASSO, Bayesian Uncertainty Estimation, Gaussian Graphical Models, Centrality Indices
Surrogate Gradients for Analog Neuromorphic Computing 2022/02/18 - 11:11pm Academic Paper Artificial Intelligence, Machine Learning, On-chip Learning Algorithms, Neuromorphic Technologies, Neuromorphic Hardware, Resource Allocation Strategy, Analog Neuromorphic Computing, Neuromorphic Computing
Energy and Policy Considerations for Deep Learning in NLP 2022/02/18 - 11:06pm Academic Paper Artificial Intelligence, Machine Learning, Energy, Resource Allocation Strategy
The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression 2022/02/18 - 5:46pm Academic Paper Prediction Models, Class Imbalance Corrections, Logistic Regression, Monte Carlo Simulations, Synthetic Minority Oversampling Technique, SMOTE
Fraud Detection in Real-Time with Graphs 2022/02/17 - 10:39am External Course Fraud Detection, Real-Time, Graphs
Predicting on the Edge: Identifying Where a Larger Model Does Better 2022/02/16 - 8:24pm Academic Paper Artificial Intelligence, Machine Learning
Conformal Prediction Sets with Limited False Positives 2022/02/16 - 8:19pm Academic Paper Artificial Intelligence, Machine Learning
Deep Convolutional Autoencoder for Assessment of Anomalies in Multi-stream Sensor Data 2022/02/16 - 8:07pm Academic Paper Artificial Intelligence, Machine Learning, Multi-stream Sensor Data, Neural and Evolutionary Computing
Forecasting Global Weather with Graph Neural Networks 2022/02/16 - 8:01pm Academic Paper Artificial Intelligence, Machine Learning, Forecasting, Weather, Graph Neural Networks, Atmospheric and Oceanic Physics
Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation 2022/02/16 - 7:43pm Academic Paper Artificial Intelligence, Machine Learning, Question Answering Systems, Computation and Language
The self-fulfilling prophecy of post-hoc power calculations 2022/02/07 - 6:31pm Academic Paper Power Calculations, Applied Probability, Post-hoc Power Calculations
Pre-Trained Language Models for Interactive Decision-Making 2022/02/03 - 11:20pm Academic Paper Artificial Intelligence, Machine Learning, Pre-trained Language Models, Interactive Decision-Making, Computation and Language, Language Model, Language Model Pre-training
On Monte Carlo Tree Search for Weighted Vertex Coloring 2022/02/03 - 11:15pm Academic Paper Artificial Intelligence, Machine Learnng, Monte Carlo Tree Search, Local Search, Graph Coloring, Weighted Vertex Coloring
Review of automated time series forecasting pipelines 2022/02/03 - 11:11pm Academic Paper Artificial Intelligence, Automated Machine Learning, Time Series Forecasting, AutoML, Feature Engineering, Hyperparameter Optimization, Forecasting Method Selection, Ensemble, Machine Learning
MV-Datalog+-: Effective Rule-based Reasoning with Uncertain Observations 2022/02/03 - 11:07pm Academic Paper Artificial Intelligence, Machine Learning, MV-Datalog, Rule-based Reasoning, Datalog, Fuzzy Logic, Uncertainty
The Unintended Consequences of COVID-19 Vaccine Policy: Why Mandates, Passports, and Segregated Lockdowns May Cause more Harm than Good 2022/02/03 - 6:42pm Academic Paper COVID19, Public Policy, Health Policy, Lockdowns, Vaccines
A LITERATURE REVIEW AND META-ANALYSIS OF THE EFFECTS OF LOCKDOWNS ON COVID-19 MORTALITY 2022/02/03 - 2:52pm Academic Paper COVID19, Public Policy, Health Policy, Lockdowns, Non-pharmaceutical Interventions
Pfizer Adverse Events Report 2022/02/02 - 12:29pm External Course COVID19, Public Policy, Health Policy, mRNA Vaccines, Vaccines, Clinical Trial Design, Evidence Hierarchy
The Pfizer Inoculations Do More Harm Than Good 2022/02/02 - 12:21am External Course COVID19, Public Policy, Health Policy, mRNA Vaccines, Vaccines, Clinical Trial Design, Evidence Hierarchy
The Cost-Benefit Fallacy: Why Cost-Benefit Analysis Is Broken and How to Fix It 2022/02/01 - 4:57pm External Course Cost Benefit Analysis, Cost Benefit Fallacy, Forecasting, Resource Allocation, Behavioral Sciences
A/B Testing for Marketing Optimization 2022/02/01 - 2:49pm External Course A/B Testing, Marketing Optimization, Marketing
A/B Testing Guide 2022/02/01 - 2:47pm External Course A/B Testing
Secure the Data, Not the Device: How Decentralized File Storage Creates Resilience Against the Risk of Ransomware Attacks 2022/02/01 - 12:22pm External Course Data Security, Data Engineering, Cyber Security
Bayesian Optimization: From A/B to A-Z Testing 2022/02/01 - 10:57am External Course A/B Testing, Bayesian Optimization
Life Expectancy: A Counterfactual Example 2022/01/31 - 12:47pm Video Counterfactual Causal Inference, COVID19, Public Policy, Health Policy
SARS2 Pandemic: Will Truth Prevail? 2022/01/30 - 11:53am Video COVID19, Public Policy, Health Policy
Foundations of Data Science - Textbook 2022/01/28 - 11:32pm External Course Data Science, Textbook
Understanding Machine Learning - From Theory to Algorithms - Textbook 2022/01/28 - 10:54pm External Course Machine Learning, Shai Shalev-Shwartz, Shai Ben-David
Survey of Monte Carlo Tree Search Methods 2022/01/28 - 8:27pm External Course Monte Carlo Tree Search, Markov Chain Monte Carlo, Guided Monte Carlo Tree Search, Monte Carlo Simulations, Bandit-based Methods, Artificial Intelligence
Introduction to Probabilities, Graphs, and Causal Models 2022/01/28 - 7:46pm External Course Applied Probability, Causal Data Science, Causal Graphical Models
Introduction to Graphical Models and Bayesian Networks 2022/01/28 - 4:13pm External Course Graphical Models, Bayesian Networks, Applied Probability, Probabilistic Causation, Causal Inference
Introduction to Probability 2022/01/28 - 8:18am External Course Probability Theory, Applied Probability, Probabilistic Causation, Causal Inference
Planet Lockdown: A Documentary 2022/01/27 - 9:45pm Video COVID19, Public Policy, Health Policy, Lockdowns, Non-pharmaceutical Interventions, mRNA Vaccines, Vaccines
Human Augmentation – The Dawn of a New Paradigm 2022/01/26 - 3:03pm External Course Artificial Intelligence, Human Brain, Biodigital Convergence, Human Augmentation
Exploring Biodigital Convergence 2022/01/26 - 2:59pm External Course Artificial Intelligence, Human Brain, Biodigital Convergence, Human Augmentation
The Security of Deep Learning Defences for Medical Imaging 2022/01/24 - 1:52pm Academic Paper Medical Imaging, Healthcare, Machine Learning, Cryptography and Security, Image and Video Processing
Random Noise vs State-of-the-Art Probabilistic Forecasting Methods: A Case Study on CRPS-Sum Discrimination Ability 2022/01/24 - 1:49pm Academic Paper Artificial Intelligence, Machine Learning, Probabilistic Forecasting, CRPS-Sum Discrimination Ability
Personality Type Based on Myers-Briggs Type Indicator with Text Posting Style by using Traditional and Deep Learning 2022/01/24 - 1:15pm Academic Paper Machine Learning, Naive Bayes, Support Vector Machines, Recurrent Neural Networks, Myers-Briggs Type Indicator, Personality Prediction, CRoss Industry Standard Process for Data Mining, CRISP-DM, Agile Methodology
AiTLAS: Artificial Intelligence Toolbox for Earth Observation 2022/01/24 - 1:11pm Academic Paper Machine Learning, Artificial Intelligence, Earth Observation, AiTLAS, Computer Vision and Pattern Recognition
Deconfounding to Explanation Evaluation in Graph Neural Networks 2022/01/24 - 1:06pm Academic Paper Machine Learning, Graph Neural Networks, Causal Graph Discovery, Deconfounded Subgraph Evaluation
Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies 2022/01/24 - 1:02pm Academic Paper Artificial Intelligence, Machine Learning, Computer Vision and Pattern Recognition, Active Predictive Coding Networks, Learning Reference Frames, Part-whole Hierarchies
Marginal Effects for Non-Linear Prediction Functions 2022/01/24 - 12:59pm Academic Paper Machine Learning, Non-Linear Prediction Functions
Testimony of Dr. Mike Yeadon: January 7, 2022 2022/01/08 - 12:34pm Video COVID19, Public Policy, Health Policy, mRNA Vaccines, Vaccines, Dr. Mike Yeadon

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