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6 papers · 1 filter
Binary Decision Diagrams for Bin Packing with Minimum Color Fragmentation
David Bergman, Carlos Cardonha, Saharnaz Mehrani
Bin Packing with Minimum Color Fragmentation (BPMCF) is an extension of the Bin Packing Problem in which each item has a size and a color and the goal is to minimize the sum of the…
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos +30
Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is highly subjective an…
Using link and content over time for embedding generation in Dynamic Attributed Networks
Ana Paula Appel, Renato L. F. Cunha, Charu C. Aggarwal +1
In this work, we consider the problem of combining link, content and temporal analysis for community detection and prediction in evolving networks. Such temporal and content-rich n…
JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications
Bruno Silva, Marco A. S. Netto, Renato L. F. Cunha
High Performance Computing (HPC) applications are essential for scientists and engineers to create and understand models and their properties. These professionals depend on the exe…
Room-Temperature Quantum-Confined Stark Effect in Atomically Thin Semiconductor
Michael Engel, Mathias Steiner
Electric field-controlled, two-dimensional (2D) exciton dynamics in transition metal dichalcogenide monolayers is a current research focus in condensed matter physics. We have expe…
Using Meta-heuristics and Machine Learning for Software Optimization of Parallel Computing Systems: A Systematic Literature Review
Suejb Memeti, Sabri Pllana, Alecio Binotto +2
While modern parallel computing systems offer high performance, utilizing these powerful computing resources to the highest possible extent demands advanced knowledge of various ha…