HeMIS: Hetero-Modal Image Segmentation
We introduce a deep learning image segmentation framework that is extremely robust to missing imaging modalities. Instead of attempting to impute or synthesize missing data, the proposed approach learns, for each modality, an embedding of the input image
B Menze +10 more
core +1 more source
Exploiting Deep Semantics and Compositionality of Natural Language for Human-Robot-Interaction
We develop a natural language interface for human robot interaction that implements reasoning about deep semantics in natural language. To realize the required deep analysis, we employ methods from cognitive linguistics, namely the modular and ...
Eppe, Manfred +2 more
core +1 more source
Few-Shot Bayesian Imitation Learning with Logical Program Policies
Humans can learn many novel tasks from a very small number (1--5) of demonstrations, in stark contrast to the data requirements of nearly tabula rasa deep learning methods.
Allen, Kelsey R. +4 more
core +1 more source
Revisiting the Edge of Chaos: Evolving Cellular Automata to Perform Computations [PDF]
We present results from an experiment similar to one performed by Packard (1988), in which a genetic algorithm is used to evolve cellular automata (CA) to perform a particular computational task.
Crutchfield, James P. +2 more
core +4 more sources
Decision-making and problem-solving methods in automation technology [PDF]
The state of the art in the automation of decision making and problem solving is reviewed. The information upon which the report is based was derived from literature searches, visits to university and government laboratories performing basic research in ...
Barker, L. K. +2 more
core +1 more source
Tumor Microenvironment-Responsive Nanomedicine: Monitoring and Modulating the Tumor Microenvironment for Precision Cancer Therapy. [PDF]
He J, Xue W, Li Y.
europepmc +1 more source
Agile human activity recognition for wearable devices based on online incremental learning. [PDF]
Fan L +6 more
europepmc +1 more source
Deciphering the linguistic blueprint of DNA: context-sensitive structures, statistical patterns, and regulatory implications. [PDF]
Akhmetov I, Saparov T, Duran V, Pak A.
europepmc +1 more source
A visual question answering method based on task decomposition. [PDF]
Cong Y, Mo H.
europepmc +1 more source
Quantum annealing feature selection on light-weight medical image datasets. [PDF]
Nau MA +4 more
europepmc +1 more source

