Visual uide to AI and ML Research at Lund University...
Transcript of Visual uide to AI and ML Research at Lund University...
Visual Guide to AI and ML Research at Lund University through Statistics and Machine Learning
Cluster id
Search terms used to identify 1.345 AI and ML related publications in LUCRIS Lund University research information system. Each dot in the illustration to the right represents one of these publications. In the illustration the publications are
clustered based on relative similarity of the content of their abstracts.
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Cluster map of abstracts
cluster-id
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80 60 40 20 0 20 40 60
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Cluster map of abstracts
cluster-id
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Search terms
Cluster share
Year
Nou
n ph
rase
s
Cluster 5 (9.96%)
Cluster 16 (8.85%)
Cluster 2 (8.40%)
Cluster 0 (7.81%)
Cluster 3 (6.99%)
Cluster 7 (6.62%)
Cluster 8 (5.58%)
Cluster 11 (5.50%)
Cluster 9 (5.28%)
Cluster 15 (4.98%)
Cluster 6 (4.83%)
Cluster 13 (4.83%)
Cluster 12 (4.68%)
Cluster 4 (4.61%)
Cluster 1 (4.61%)
Cluster 10 (3.79%)
Cluster 14 (2.68%)
Cluster share
0 20 40 60 80 100 120 140Count
1977197919811982198319841986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019
Year
Publications per year
Cluster similarity matrix
Cluster id
Clu
ster
id
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16Cluster ID
01
23
45
67
89
1011
1213
1415
16Cluster ID
1.00 0.74 0.64 0.57 0.74 0.87 0.74 0.92 0.70 0.64 0.52 0.71 0.67 0.82 0.66 0.85 0.75
0.74 1.00 0.65 0.66 0.81 0.71 0.74 0.80 0.76 0.66 0.57 0.63 0.77 0.70 0.74 0.81 0.75
0.64 0.65 1.00 0.63 0.64 0.66 0.84 0.70 0.67 0.67 0.84 0.65 0.68 0.74 0.64 0.72 0.80
0.57 0.66 0.63 1.00 0.77 0.61 0.68 0.65 0.72 0.67 0.49 0.88 0.75 0.68 0.70 0.75 0.82
0.74 0.81 0.64 0.77 1.00 0.72 0.77 0.85 0.75 0.77 0.58 0.79 0.86 0.74 0.72 0.85 0.72
0.87 0.71 0.66 0.61 0.72 1.00 0.72 0.87 0.74 0.68 0.51 0.75 0.74 0.85 0.63 0.78 0.85
0.74 0.74 0.84 0.68 0.77 0.72 1.00 0.81 0.76 0.75 0.85 0.71 0.73 0.80 0.66 0.80 0.79
0.92 0.80 0.70 0.65 0.85 0.87 0.81 1.00 0.79 0.72 0.59 0.75 0.82 0.84 0.73 0.85 0.79
0.70 0.76 0.67 0.72 0.75 0.74 0.76 0.79 1.00 0.63 0.64 0.69 0.76 0.73 0.82 0.82 0.81
0.64 0.66 0.67 0.67 0.77 0.68 0.75 0.72 0.63 1.00 0.60 0.76 0.82 0.79 0.64 0.78 0.70
0.52 0.57 0.84 0.49 0.58 0.51 0.85 0.59 0.64 0.60 1.00 0.53 0.56 0.63 0.52 0.61 0.66
0.71 0.63 0.65 0.88 0.79 0.75 0.71 0.75 0.69 0.76 0.53 1.00 0.75 0.84 0.62 0.79 0.82
0.67 0.77 0.68 0.75 0.86 0.74 0.73 0.82 0.76 0.82 0.56 0.75 1.00 0.78 0.75 0.78 0.76
0.82 0.70 0.74 0.68 0.74 0.85 0.80 0.84 0.73 0.79 0.63 0.84 0.78 1.00 0.63 0.83 0.84
0.66 0.74 0.64 0.70 0.72 0.63 0.66 0.73 0.82 0.64 0.52 0.62 0.75 0.63 1.00 0.82 0.73
0.85 0.81 0.72 0.75 0.85 0.78 0.80 0.85 0.82 0.78 0.61 0.79 0.78 0.83 0.82 1.00 0.82
0.75 0.75 0.80 0.82 0.72 0.85 0.79 0.79 0.81 0.70 0.66 0.82 0.76 0.84 0.73 0.82 1.00
Cluster similarity matrix
0.5
0.6
0.7
0.8
0.9
1.0
(“artificial intelligence” OR “machine learning” OR “deep learning” OR “autonomous systems” OR “pattern recognition” OR “image recognition” OR “natural language processing” OR “robotics” OR “image analytics” OR “big data” OR “data mining” OR “computer vision” OR “predictive analytics”)
Publications per yearn=1.699
Weighted publication title noun phrases
0 5 10 15Weight
applicationmotioncontrol
computer visionartificial neural network
robotdevelopment
structureheart transplantation
analysisdesign
classificationrobotic
effectsegmentation
comparisonreconstruction
anticipationmodelingdetection
evaluationexperiment
outcomemultiple view geometry
diagnosismachine learning
patientsystem
minimal problemsmean
attentionline
gynecological diseasemodel
challengesimulation
industrial robotbig datum
methodintegration
deep learningshape
computational modelperformance
pattern recognitionassociative self-organizing map
experiencedatum
interactionresponse
actionview
clinical and ultrasound characteristicconcept
motion estimationknowledge
validationinternal simulation
pointsurveyautism
learningapplications
robotsbox jellyfish
imagesadaptive control
contextarchitecture
unknown focal lengthpredictioncognition
pose estimationtoll-like receptorteachable agent
strategyuse
proceedingtext
relative poseautomate subject classification
approachtracking
revieweuclidean reconstructiondiscrete-event simulationcomputational methods
peoplehand-eye calibration
planar motionmind
extensionradial distortion
haptic perceptionrole
3d reconstructionoptimization
eyegeneralized roof dualitysemantic segmentation
Noun phrase
Weighted publication title noun phrases
Count
Aut
hor
0 25 50 75 100 125Count
Kalle Åström
Christian Balkenius
Rolf Johansson
Anders Heyden
Anders Robertsson
Pierre Nugues
Carl Olsson
Magnus Oskarsson
Birger Johansson
Mattias Ohlsson
Klas Nilsson
Peter Gärdenfors
Jacek Malec
Johan Nilsson
Lil Valentin
Bodil Andersson
Niels Christian Overgaard
Peter Höglund
Håkan Ardö
Mathias Haage
Elin Anna Topp
Mikael Nilsson
Agneta Gulz
Volker Krueger
Cristian Sminchisescu
Gunnar Sparr
Rasmus Bååth
Håkan Eftring
Magnus Haake
Carita Paradis
Mauno Vihinen
Fredrik Bagge Carlson
Stefan Larsson
Erik Bylow
Dennis Medved
Karl Johan Åström
Carsten Peterson
Britt Östlund
Martin Karlsson
Giorgos Nikoleris
Lars Hall
Germund Hesslow
Marcus Klang
Anasua Sarkar
Heiko Herwald
Eric Warrant
Henrik Jörntell
Anna Balkenius
Petter Johansson
Marcus Carlsson
Author
Publications with LU author
Lund University authors
Count
n=1.699
Weight
Cluster map of abstracts combined with word clouds of these abstracts
n=1.699
http://aiml.lu.se/visual-guide
Concept & Technical Design: Marcus Klang and Jonas Wisbrant