RT @marlon_dumas: Are your predictions stable? Paper on temporal stability in predictive process monitoring accepted in the #ECMLPKDD 2018…
RT @marlon_dumas: Are your predictions stable? Paper on temporal stability in predictive process monitoring accepted in the #ECMLPKDD 2018…
RT @marlon_dumas: Are your predictions stable? Paper on temporal stability in predictive process monitoring accepted in the #ECMLPKDD 2018…
Are your predictions stable? Paper on temporal stability in predictive process monitoring accepted in the #ECMLPKDD 2018 special issue of Data Mining and Knowledge Discovery https://t.co/xw1n2bJhOF w/ Irene Teinemaa, Anna Leontjeva, Fabrizio Maggi @UniTar
RT @marlon_dumas: LSTM vs. XGBoost vs. Random Forests: How can I predict the outcome of ongoing cases of a business process accurately and…
RT @marlon_dumas: LSTM vs. XGBoost vs. Random Forests: How can I predict the outcome of ongoing cases of a business process accurately and…
LSTM vs. XGBoost vs. Random Forests: How can I predict the outcome of ongoing cases of a business process accurately and stably? https://t.co/2Vgm5bm6h5 #predictivemonitoring #processmining
"Temporal Stability in Predictive Process Monitoring", Irene Teinemaa, Marlon Dumas, Anna Leontjeva, Fabrizio Maria… https://t.co/biTRJdZSIc
RT @StatsPapers: Temporal Stability in Predictive Process Monitoring. https://t.co/MYFGP1od20
Temporal Stability in Predictive Process Monitoring. https://t.co/MYFGP1od20
Temporal Stability in Predictive Process Monitoring. (arXiv:1712.04165v1 [cs.LG]) https://t.co/nOId9SiAht
#arXiv #stat_ML "Temporal Stability in Predictive Process Monitoring. (arXiv:1712.04165v1 [cs.LG])" https://t.co/PaVF93qTfA