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Automated Large-scale Class Scheduling in MiniZinc
Md.MushfiqurRahman, SabahBinteNoor, FazlulHasanSiddiqui....
Published date-11/15/2020
Class Scheduling is a highly constrained task. Educational institutes spend a lot of resources, in the form of time and manual computation, to find a satisficing schedule that fulfills all …
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures
ShuoZhang, YangLiu, LeiXie....
Published date-11/15/2020
DrugDiscovery, FormationEnergy
The prediction of physicochemical properties from molecular structures is a crucial task for artificial intelligence aided molecular design. A growing number of Graph Neural Networks (GNNs) have been proposed to …
Unsupervised Contrastive Learning of Sound Event Representations
EduardoFonseca, DiegoOrtego, KevinMcGuinness....
Published date-11/15/2020
ContrastiveLearning, RepresentationLearning
Self-supervised representation learning can mitigate the limitations in recognition tasks with few manually labeled data but abundant unlabeled data---a common scenario in sound event research. In this work, we explore …
Direction-of-Voice (DoV) Estimation for Intuitive Speech Interaction with Smart Devices Ecosystems
KaranAhuja, AndyKong, MayankGoel....
Published date-11/15/2020
SpeakerOrientation
Future homes and offices will feature increasingly dense ecosystems of IoT devices, such as smart lighting, speakers, and domestic appliances. Voice input is a natural candidate for interacting with out-of-reach …
TenFor: A Tensor-Based Tool to Extract Interesting Events from Security Forums
RisulIslam, MdOmarFarukRokon, EvangelosE.Papalexakis....
Published date-11/14/2020
Clustering
How can we get a security forum to "tell" us its activities and events of interest? We take a unique angle: we want to identify these activities without any a …
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
ChenchengXu, QiaoLiu, MinlieHuang....
Published date-11/14/2020
GraphGeneration, MolecularGraphGeneration
A major challenge in the pharmaceutical industry is to design novel molecules with specific desired properties, especially when the property evaluation is costly. Here, we propose MNCE-RL, a graph convolutional …