Results 71 to 80 of about 5,397,718 (323)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman +17 more
wiley +1 more source
Frouros: An open-source Python library for drift detection in machine learning systems
SoftwareXFrouros is an open-source Python library capable of detecting drift in machine learning systems. It provides a combination of classical and more recent algorithms for drift detection, covering both concept and data drift.
Jaime Céspedes Sisniega +1 more
doaj +1 more source
Accurate detecting concept drift in evolving data streams
ICT Express, 2020 Predictive models operating on the evolving data streams are dynamic. The performance of a model will deteriorate eventually when it suffers the effect of concept drift.
Myuu Myuu Wai Yan
doaj +1 more source
The Mean Drift: Tailoring the Mean Field Theory of Markov Processes for Real-World Applications
, 2017 The statement of the mean field approximation theorem in the mean field theory of Markov processes particularly targets the behaviour of population processes with an unbounded number of agents.
A Pourranjbar +14 more
core +1 more source
A benchmark and survey of fully unsupervised concept drift detectors on real-world data streams
International Journal of Data Science and AnalysisConcept drift detection techniques can be used to discover substantial changes of the patterns encoded in data streams in real-time. If left unaddressed, these changes can render deployed machine learning models unreliable because their training data no ...
Daniel Lukats +3 more
semanticscholar +1 more source
Handling Concept Drift in Process Mining [PDF]
, 2011 Operational processes need to change to adapt to changing circumstances, e.g., new legislation, extreme variations in supply and demand, seasonal effects, etc. While the topic of flexibility is well-researched in the BPM domain, contemporary process mining approaches assume the process to be in steady state.
Jagadeesh Chandra Bose, R.P. +3 more
openaire +1 more source
Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy +5 more
wiley +1 more source
An Experimental Analysis of Drift Detection Methods on Multi-Class Imbalanced Data Streams
Applied Sciences, 2022 The performance of machine learning models diminishes while predicting the Remaining Useful Life (RUL) of the equipment or fault prediction due to the issue of concept drift.
Abdul Sattar Palli +4 more
doaj +1 more source
, 2017 Language in social media is extremely dynamic: new words emerge, trend and disappear, while the meaning of existing words can fluctuate over time. Such dynamics are especially notable during a period of crisis. This work addresses several important tasks
Arendt, Dustin +3 more
core +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Parents of children treated for acute lymphoblastic leukemia (ALL) often experience significant caregiver burden and disruption to their well‐being. While parent quality of life (QoL) during treatment is well characterized, little is known about outcomes during early survivorship.
Sara Dal Pra +3 more
wiley +1 more source