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1Chen-Cai-OSU/awesome-equivariant-network: Paper list for equivariant neural network
https://github.com/Chen-Cai-OSU/awesome-equivariant-network
a year ago by @becker
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1Gopher and RETRO Prove Lean Language Models Can Push Boundaries
https://www.deeplearning.ai/the-batch/large-language-models-shrink/?utm_campaign=The%20Batch&utm_medium=email&_hsmi=240401361&_hsenc=p2ANqtz-8xSUusSBIkSJlMHiucL2H3K9ukcSqlS-6aE-4TxPD5Bh1ElshDiBx1Vs-ROguVWC1JTS-wlfpgjJtgeuN18dgvmvEbtA&utm_content=240401361&utm_source=hs_email
a year ago by @becker
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shrink
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1(3) Straßensport | Facebook
https://www.facebook.com/Strassensport/
a year ago by @becker
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rostockstrassensportcalisthenics
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1Was Gendern bringt – und was nicht - quarks.de
https://www.quarks.de/gesellschaft/psychologie/was-gendern-bringt-und-was-nicht/
a year ago by @becker
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1Jupyter Notebooks: Sharing your Work - ReviewNB Blog
https://blog.reviewnb.com/jupyter-sharing/
a year ago by @becker
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1JupyterLite — JupyterLite 0.1.0-beta.16 documentation
https://jupyterlite.readthedocs.io/en/latest/index.html#
a year ago by @becker
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1nbdev – Create delightful software with Jupyter Notebooks
https://nbdev.fast.ai/
a year ago by @becker
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1Docker vs Singularity vs Shifter vs UGE Container Edition
https://tin6150.github.io/psg/blogger_container_hpc.html
a year ago by @becker
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1(59) 5 Unity Assets for VR You Need to Know - YouTube
https://www.youtube.com/watch?v=1paWt-YgJSI
a year ago by @becker
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1(59) Valem Tutorials - YouTube
https://www.youtube.com/@ValemTutorials/videos
a year ago by @becker
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1melodi-lab/gmtk: gmtk - the graphical models toolkit
https://github.com/melodi-lab/gmtk
a year ago by @becker
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1Bayesian Linear Regression
https://gregorygundersen.com/blog/2020/02/04/bayesian-linear-regression/
a year ago by @becker
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1msword - How to convert a scientific manuscript from LaTeX to Word using Pandoc? - TeX - LaTeX Stack Exchange
https://tex.stackexchange.com/questions/111886/how-to-convert-a-scientific-manuscript-from-latex-to-word-using-pandoc/263017#263017
a year ago by @becker
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1(56) Deep Learning — Andreas Geiger - YouTube
https://www.youtube.com/playlist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD
a year ago by @becker
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1michaellee1/CellSeg
https://github.com/michaellee1/CellSeg
a year ago by @becker
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1Comment
https://www.bibsonomy.org/user/becker/m:id:immermind:node+m:id:immermind:node:1669980988140
a year ago by @becker
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m:node:commentm:id:immermind:nodem:nodem:id:immermind:coordinate:x:-189.42809867858887m:m:id:immermind:coordinate:y:-98.41795349121094
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1Network Thinking and Mindmapping for Ideation and Brainstorming | Nodus Labs
https://noduslabs.com/featured/network-thinking-and-mindmapping-for-ideation-and-brainstorming/
a year ago by @becker
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software
immermind
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1MobileFirstLLC/extension-cli: Command line tool for building extensions/add-ons for chromium based browsers.
https://github.com/MobileFirstLLC/extension-cli
a year ago by @becker
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extension
chrome
js
npm
cli
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extensionchromejsnpmclijavascript
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1Titanic Model with 90% accuracy | Kaggle
https://www.kaggle.com/code/vinothan/titanic-model-with-90-accuracy
a year ago by @becker
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science
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data
sciencekaggletitanicdata
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1kaggle-titanic/titanic-solution.ipynb at master · minsuk-heo/kaggle-titanic
https://github.com/minsuk-heo/kaggle-titanic/blob/master/titanic-solution.ipynb
a year ago by @becker
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titanic
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publications (hide)5480
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3Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale
M. Seufert, K. Dietz, N. Wehner, S. Geißler, J. Schüler, M. Wolz, A. Hotho, P. Casas, T. Hoßfeld, and A. Feldmann. IEEE Transactions on Network and Service Management, (2024)
17 days ago by @hotho
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myown
monitoring
machine
2024
learning
network
traffic
myownmonitoringmachine2024learningnetworktraffic
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1Computational Approaches for Connecting Maternal Stress to Preterm Birth
A. Mirzaei, B. Hiller, I. Stelzer, K. Thiele, Y. Tan, and M. Becker. Clinics in Perinatology, (2024)
a month ago by @becker
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myown
stress
pregnancy
machine
learning
computational
myownstresspregnancymachinelearningcomputational
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9Representation Learning: A Review and New Perspectives
Y. Bengio, A. Courville, and P. Vincent. IEEE Trans. Pattern Anal. Mach. Intell., 35 (8): 1798-1828 (2013)
2 months ago by @hotho
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toread
perspectives
review
learning
representation
toreadperspectivesreviewlearningrepresentation
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3The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
T. Saito, and M. Rehmsmeier. PloS one, 10 (3): e0118432 (2015)
2 months ago by @becker
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class,imbalance,imbalanced,evaluation,ml,machine,learning,auc,roc,precision,recall,curve
citedby:scholar:count:3373
citedby:scholar:timestamp:2024-2-20
class,imbalance,imbalanced,evaluation,ml,machine,learning,auc,roc,precision,recall,curvecitedby:scholar:count:3373citedby:scholar:timestamp:2024-2-20
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1Unifying Large Language Models and Knowledge Graphs: A Roadmap
S. Pan, L. Luo, Y. Wang, C. Chen, J. Wang, and X. Wu. (2024)
2 months ago by @hotho
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models
large
language
KG
knowledge
modelslargelanguageKGknowledge
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4Denoising Diffusion Probabilistic Models
J. Ho, A. Jain, and P. Abbeel. arXiv preprint arxiv:2006.11239, (2020)
2 months ago by @daschloer
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diffusion
diffusion
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1Feature-weighted elastic net: using "features of features" for better prediction
J. Tay, N. Aghaeepour, T. Hastie, and R. Tibshirani. Statistica Sinica, 33 (1): 259--279 (January 2023)
2 months ago by @becker
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ien
linear
background
machine
regression
learning
knowledge
bki
ml
informed
integration
ienlinearbackgroundmachineregressionlearningknowledgebkimlinformedintegration
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2Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer
H. Chereda, A. Bleckmann, F. Kramer, A. Leha, and T. Beissbarth. Studies in health technology and informatics, (September 2019)
2 months ago by @becker
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neural
background
gnn
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learning
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networks
graph
bki
ml
informed
integration
neuralbackgroundgnnmachinelearningknowledgenetworksgraphbkimlinformedintegration
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1Multimodal machine learning for modeling infant head circumference, mothers' milk composition, and their shared environment
M. Becker, K. Fehr, S. Goguen, K. Miliku, C. Field, B. Robertson, C. Yonemitsu, L. Bode, E. Simons, J. Marshall and 8 other author(s). Scientific Reports, 14 (1): 2977 (Feb 5, 2024)
2 months ago by @becker
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mother
myown
environment
circumference
multiomics
milk
multimodal
head
mothermyownenvironmentcircumferencemultiomicsmilkmultimodalhead
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4CompTrails: comparing hypotheses across behavioral networks
T. Koopmann, M. Becker, F. Lemmerich, and A. Hotho. Data Mining and Knowledge Discovery, (Jan 3, 2024)
3 months ago by @hotho
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hydras
myown
behavioral
2024
comptrails
comparing
networks
hypotheses
hydrasmyownbehavioral2024comptrailscomparingnetworkshypotheses
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6Enhancing Sequential Next-Item Prediction through Modelling Non-Item Pages
E. Fischer, D. Schlör, A. Zehe, and A. Hotho. (2023)
3 months ago by @hotho
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myown
sequential
2023
prediction
ranking
modelling
recommender
myownsequential2023predictionrankingmodellingrecommender
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4Optimizing Medical Service Request Processes through Language Modeling and Semantic Search
D. Schlör, J. Pfister, and A. Hotho. 2023 the 7th International Conference on Medical and Health Informatics (ICMHI), page 136–141. New York, NY, USA, Association for Computing Machinery, (2023)
3 months ago by @hotho
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myown
medical
2023
learning
application
representation
llm
myownmedical2023learningapplicationrepresentationllm
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4CompTrails: comparing hypotheses across behavioral networks
T. Koopmann, M. Becker, F. Lemmerich, and A. Hotho. Data Mining and Knowledge Discovery, (2024)
4 months ago by @becker
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hyptrails
myown
graphs
comparing
hypothesis
networks
hypotheses
hyptrailsmyowngraphscomparinghypothesisnetworkshypotheses
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1Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations
D. Degen, D. Caviedes Voullième, S. Buiter, H. Hendricks Franssen, H. Vereecken, A. González-Nicolás, and F. Wellmann. Geoscientific Model Development, 16 (24): 7375--7409 (2023)
4 months ago by @becker
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m:id:ai4simulation:node
m:
m:id:ai4simulation:nodem:
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6Towards Responsible Medical Diagnostics Recommendation Systems
D. Schlör, and A. Hotho. CoRR, (2022)
4 months ago by @daschloer
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myown
med
reco
myownmedreco
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5Occupational Fraud Detection through Agent-based Data Generation
J. Tritscher, A. Roos, D. Schlör, A. Hotho, and A. Krause. The 8th Workshop on MIning DAta for financial applicationS MIDAS 2023 - to appear, (2023)
4 months ago by @daschloer
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myown
mas
myownmas
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6CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion
J. Omeliyanenko, A. Zehe, A. Hotho, and D. Schlör. International Semantic Web Conference ISWC 2023, to appear, (2023)
4 months ago by @daschloer
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myown
kg
myownkg
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6Evaluating feature relevance XAI in network intrusion detection
J. Tritscher, M. Wolf, A. Hotho, and D. Schlör. The World Conference on eXplainable Artificial Intelligence (xAI 2023) - to appear, (2023)
4 months ago by @daschloer
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sec
myown
xai
secmyownxai
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5Liquor-HGNN: A heterogeneous graph neural network for leakage detection in water distribution networks
M. Schaller, M. Steininger, A. Dulny, D. Schlör, and A. Hotho. LWDA'23: Lernen, Wissen, Daten, Analysen. October 09--11, 2023, Marburg, Germany, (Oktober 2023)
4 months ago by @daschloer
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myown
cps
myowncps
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4Optimizing Medical Service Request Processes through Language Modeling and Semantic Search
D. Schlör, J. Pfister, and A. Hotho. 2023 the 7th International Conference on Medical and Health Informatics (ICMHI), page 136–141. New York, NY, USA, Association for Computing Machinery, (2023)
4 months ago by @daschloer
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myown
medical
myownmedical
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