Intelligent Data Analysis 2020 Video Submissions

Intelligent Data Analysis 2020 Video Submissions

43 Lectures · Apr 9, 2020

About

Advancing Intelligent Data Analysis 2020 requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation. Therefore IDA accepts all inspiring papers for both presentation and publication. In order to create an open atmosphere that encourages discussion, IDA symposia are intentionally small-scale and single-track.

Banner image: University of Konstanz

Related categories

Uploaded videos:

Classification and regression

video-img
07:21

68 - LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-...

Apr 23, 2020

 · 

50 Views

Lecture
video-img
09:11

103 - Reconciling predictions in the regression setting: an application to bus t...

Apr 23, 2020

 · 

33 Views

Lecture
video-img
10:58

100 - Discriminative Bias for Learning Probabilistic Sentential Decision Diagram...

Apr 21, 2020

 · 

28 Views

Lecture
video-img
08:55

77 - Improving Prediction with Casual Probabilistic Variables

Apr 20, 2020

 · 

34 Views

Lecture
video-img
09:46

91 - Transfer Learning by Learning Projections from Target to Source

Apr 21, 2020

 · 

28 Views

Lecture
video-img
12:24

15 - Efficient Batch-Increamental Classification for Evolving Data Streams

Apr 23, 2020

 · 

20 Views

Lecture

Clustering

video-img
10:28

64 - Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to ...

Apr 21, 2020

 · 

18 Views

Lecture
video-img
06:48

22 - Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source C...

Apr 21, 2020

 · 

21 Views

Lecture
video-img
10:32

83 - A consensus approach to improve NMF document clustering

Apr 21, 2020

 · 

11 Views

Lecture
video-img
47:28

82 - Even Faster Exact k-Means Clustering (Part 1 - Short Version, Part 2 - Full...

Apr 20, 2020

 · 

28 Views

Lecture
video-img
05:08

79 - Ising-based Consensus Clustering on Specialized Hardware

Apr 21, 2020

 · 

12 Views

Lecture
video-img
10:00

55 - Overlapping Hierarchical Clustering (OHC)

Apr 21, 2020

 · 

48 Views

Lecture

Deep learning

video-img
09:22

43 - Estimating uncertainty in deep learning for reporting confidence: An applic...

Apr 20, 2020

 · 

49 Views

Lecture
video-img
07:22

54 - Dual Sequential Variational Autoencoders For Fraud Detection

Apr 20, 2020

 · 

28 Views

Lecture
video-img
06:43

63 - Do-U-Net for Segmentation and Counting

Apr 20, 2020

 · 

148 Views

Lecture
video-img
10:40

107 - Event Recognition Based On Classification Of Generazed Image Captions

Apr 20, 2020

 · 

20 Views

Lecture
video-img
10:22

71 - Multivariate Time Series as Images: Imputation using Convolutional Denoisin...

Apr 21, 2020

 · 

51 Views

Lecture
video-img
22:03

113 - Evaluation of CNN performance in semantically relevant latent spaces

Apr 21, 2020

 · 

33 Views

Lecture

General themes and applications

video-img
12:49

88 - AVATAR- Machine Learning Pipeline Evaluation Using Surrogate Model

Apr 21, 2020

 · 

31 Views

Lecture
video-img
02:24

6 - Adversarial attacks hidden in plain sight

Apr 21, 2020

 · 

30 Views

Lecture
video-img
10:11

114 - Aleatoric and Epistemic Uncertainty with Random Forests

Apr 21, 2020

 · 

42 Views

Lecture
video-img
07:32

87 - Angle-based Crowding Degree Estimation for Many-Objective Optimization

Apr 20, 2020

 · 

34 Views

Lecture
video-img
08:35

111 - Combining Machine Learning and Simulation to a Hybrid Modelling Approach

Apr 21, 2020

 · 

47 Views

Lecture
video-img
09:31

18 - Digital footporints of international migration on Twitter

Apr 20, 2020

 · 

40 Views

Lecture
video-img
09:59

34 - Master Your Metrics With Calibration

Apr 21, 2020

 · 

33 Views

Lecture

Graphs and networks

video-img
06:56

62 - A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neura...

Apr 20, 2020

 · 

20 Views

Lecture
video-img
10:27

28 - A Late-fusion Approach to Community Detection in Attributed Networks

Apr 20, 2020

 · 

23 Views

Lecture
video-img
09:44

20 - Addressing the Resolution Limit and the Filed of View Limit in Community Mi...

Apr 20, 2020

 · 

16 Views

Lecture
video-img
04:54

31 - Comparing the preservation of network properties by graph embeddings

Apr 20, 2020

 · 

26 Views

Lecture
video-img
09:17

27 - Orometric Methods in Bounded Metric Data

Apr 20, 2020

 · 

10 Views

Lecture
video-img
10:13

10 - Percolation-Based Detection of Anomalous Subgraphs in Complex Networks

Apr 21, 2020

 · 

17 Views

Lecture
video-img
06:40

23 - Interpretable Neuron Structuring with Graph Spectral Regularization

Apr 23, 2020

 · 

18 Views

Lecture

Learning theory

video-img
12:20

92 - A Distribution Dependent and Independent Complexity Analysis of Manifold Re...

Apr 21, 2020

 · 

63 Views

Lecture
video-img
06:53

25 - Detection of Derivative Discontinuizies in Observational Data

Apr 21, 2020

 · 

21 Views

Lecture
video-img
11:10

90 - Making Learners (More) Monotone

Apr 21, 2020

 · 

59 Views

Lecture

Natural language processing

video-img
15:01

86 - Enhanced Word Embeddings For Anorexia Nervosa Detection on Social Media

Apr 21, 2020

 · 

24 Views

Lecture
video-img
04:10

67 - Supervised Phrase-boundary Embeddings

Apr 20, 2020

 · 

14 Views

Lecture
video-img
09:45

30 - Towards Content Sensitivity Analysis

Apr 21, 2020

 · 

22 Views

Lecture

Pattern discovery

video-img
09:51

58 - Actionable Subgroup Discovery and Urban Farm Optimization

Apr 20, 2020

 · 

104 Views

Lecture
video-img
10:22

60 - Gibbs sampling subjectively interesting tiles

Apr 20, 2020

 · 

30 Views

Lecture
video-img
09:59

73 - GraphMDL: Graph Pattern Selection based on Minimum Description Length

Apr 21, 2020

 · 

37 Views

Lecture
video-img
09:00

57 - VOUW: Geometric Pattern Mining using the MDL Principle

Apr 21, 2020

 · 

28 Views

Lecture
video-img
09:15

26 - Widening for MDL-based Retail Signature Discovery

Apr 21, 2020

 · 

22 Views

Lecture