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Introduction to MAchine Learning & Knowledge Extraction (MAKE)

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Explaining code for publication
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ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases
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Patterns of Influence in a Recommendation Network
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Mathematical Tools for Data Mining
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Sequential Monte Carlo Methods in Practice
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An Introduction to Sequential Monte Carlo Methods
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Solving Large Scale Learning Tasks. Challenges and Algorithms
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Knowledge Discovery from Complex High Dimensional Data
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The Right to Be Forgotten: Towards Machine Learning on Perturbed Knowledge Bases
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Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach
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Machine Learning for Health Informatics State-of-the-Art and Future Challenges
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Machine Learning for Health Informatics
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Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning
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Introduction to Statistical Learning Theory
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Ontology – Supported Machine Learning and Decision Support in Biomedicine
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Human-Computer Interaction and Knowledge Discovery (HCI-KDD): What Is the Benefit of Bringing Those Two Fields to Work Together?
inferredcites →https://doi.org/10.1007/978-3-662-12405-5openalex-snapshot
Machine Learning
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Knowledge Discovery and Data Mining in Biomedical Informatics: The Future Is in Integrative, Interactive Machine Learning Solutions
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Advanced Lectures on Machine Learning
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Introduction to the special issue on normative multiagent systems
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Autonomous Agents and Ethical Decision-Making
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Interactive machine learning for health informatics: when do we need the human-in-the-loop?
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BAYESIAN INFERENCE
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Clustering and visualization approaches for human cell cycle gene expression data analysis
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Deep learning in neural networks: An overview
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Probabilistic models of cognition: Conceptual foundations
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Pragmatic Language Interpretation as Probabilistic Inference
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The Bayesian brain: the role of uncertainty in neural coding and computation
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Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
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Probability Theory
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Causality
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The Role of Occam's Razor in Knowledge Discovery
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Machine ethics: The robot’s dilemma
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Connectomic reconstruction of the inner plexiform layer in the mouse retina
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Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1038/nature14541openalex-snapshot
Probabilistic machine learning and artificial intelligence
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Mastering the game of Go with deep neural networks and tree search
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Machine learning phases of matter
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Overcoming catastrophic forgetting in neural networks
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Reaching a Consensus
inferredcites →https://doi.org/10.1089/cmb.1998.5.423openalex-snapshot
On the Complexity of Protein Folding
inferredcites →https://doi.org/10.1093/bioinformatics/btk026openalex-snapshot
A multi-step approach to time series analysis and gene expression clustering
inferredcites →https://doi.org/10.1093/bioinformatics/btu277openalex-snapshot
Deep learning of the tissue-regulated splicing code
inferredcites →https://doi.org/10.1098/rsta.2011.0553openalex-snapshot
Bayesian non-parametrics and the probabilistic approach to modelling
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LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, F. R. S. communicated by Mr. Price, in a letter to John Canton, A. M. F. R. S
inferredcites →https://doi.org/10.1109/21.156582openalex-snapshot
Consensus theoretic classification methods
inferredcites →https://doi.org/10.1109/5254.708428openalex-snapshot
Support vector machines
inferredcites →https://doi.org/10.1109/asru.2011.6163930openalex-snapshot
Strategies for training large scale neural network language models
inferredcites →https://doi.org/10.1109/jproc.2006.887293openalex-snapshot
Consensus and Cooperation in Networked Multi-Agent Systems
inferredcites →https://doi.org/10.1109/jproc.2015.2494218openalex-snapshot
Taking the Human Out of the Loop: A Review of Bayesian Optimization
inferredcites →https://doi.org/10.1109/mc.2013.31openalex-snapshot
The Future of Human-in-the-Loop Cyber-Physical Systems
inferredcites →https://doi.org/10.1109/msp.2010.938752openalex-snapshot
Adaptive Learning in a World of Projections
inferredcites →https://doi.org/10.1109/msp.2012.2205597openalex-snapshot
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
inferredcites →https://doi.org/10.1109/msp.2015.2481559openalex-snapshot
Bayesian Machine Learning: EEG\/MEG signal processing measurements
inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot
A Survey on Transfer Learning
inferredcites →https://doi.org/10.1109/tkde.2016.2606428openalex-snapshot
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
inferredcites →https://doi.org/10.1109/tmi.2016.2535302openalex-snapshot
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1111/j.1467-9280.2009.02335.xopenalex-snapshot
Using Speakers' Referential Intentions to Model Early Cross-Situational Word Learning
inferredcites →https://doi.org/10.1117/12.2083124openalex-snapshot
Deep learning with non-medical training used for chest pathology identification
inferredcites →https://doi.org/10.1126/science.1170411openalex-snapshot
Beyond the Data Deluge
inferredcites →https://doi.org/10.1126/science.1192788openalex-snapshot
How to Grow a Mind: Statistics, Structure, and Abstraction
inferredcites →https://doi.org/10.1126/science.aaa8415openalex-snapshot
Machine learning: Trends, perspectives, and prospects
inferredcites →https://doi.org/10.1137/1116025openalex-snapshot
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
inferredcites →https://doi.org/10.1145/1014052.1014067openalex-snapshot
Regularized multi--task learning
inferredcites →https://doi.org/10.1145/1143844.1143967openalex-snapshot
Topic modeling
inferredcites →https://doi.org/10.1145/1553374.1553516openalex-snapshot
Feature hashing for large scale multitask learning
inferredcites →https://doi.org/10.1145/1968.1972openalex-snapshot
A theory of the learnable
inferredcites →https://doi.org/10.1145/2593882.2593900openalex-snapshot
Probabilistic programming
inferredcites →https://doi.org/10.1145/2898361openalex-snapshot
SNAP
inferredcites →https://doi.org/10.1145/3052935openalex-snapshot
Making money using math
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1146/annurev-psych-120709-145346openalex-snapshot
Heuristic Decision Making
inferredcites →https://doi.org/10.1147/rd.33.0210openalex-snapshot
Some Studies in Machine Learning Using the Game of Checkers
inferredcites →https://doi.org/10.1162/neco.2006.18.7.1527openalex-snapshot
A Fast Learning Algorithm for Deep Belief Nets
inferredcites →https://doi.org/10.1177/0272989x9701700108openalex-snapshot
Assessing Rater Performance without a "Gold Standard" Using Consensus Theory
inferredcites →https://doi.org/10.1184/r1/6605432openalex-snapshot
Exploiting Ontology Structures and Unlabeled Data for Learning
inferredcites →https://doi.org/10.1186/1471-2105-15-s6-i1openalex-snapshot
Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions
inferredcites →https://doi.org/10.1186/1471-2105-9-435openalex-snapshot
Multi-agent systems in epidemiology: a first step for computational biology in the study of vector-borne disease transmission
inferredcites →https://doi.org/10.1214/009053607000000677openalex-snapshot
Kernel methods in machine learning
inferredcites →https://doi.org/10.14288/1.0044249openalex-snapshot
A new approach to probabilistic programming inference
inferredcites →https://doi.org/10.1609/aaai.v31i1.10904openalex-snapshot
Transfer Learning for Deep Learning on Graph-Structured Data
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A Model of Inductive Bias Learning
inferredcites →https://doi.org/10.31887/dcns.2012.14.1/jmarewskiopenalex-snapshot
Heuristic decision making in medicine
inferredcites →https://doi.org/10.3758/bf03213088openalex-snapshot
Human performance on the traveling salesman problem
inferredcites →https://doi.org/10.48550/arxiv.1602.05629openalex-snapshot
Communication-Efficient Learning of Deep Networks from Decentralized Data
inferredcites →https://doi.org/10.5555/1248547.1248612openalex-snapshot
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
inferredcites →https://doi.org/10.5555/1577069.1577078openalex-snapshot
Distance Metric Learning for Large Margin Nearest Neighbor Classification
inferredcites →https://doi.org/10.5555/1577069.1577113openalex-snapshot
Robust Process Discovery with Artificial Negative Events
inferredcites →https://doi.org/10.5555/1577069.1755839openalex-snapshot
Transfer Learning for Reinforcement Learning Domains: A Survey
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Kronecker Graphs: An Approach to Modeling Networks
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An introduction to variable and feature selection
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Bayesian Brain
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Probabilistic programming in Python using PyMC3

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