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02/08/2020
SUOD: Toward Scalable Unsupervised Outlier Detection
Outlier detection is a key field of machine learning for identifying abn...
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12/12/2019
Extracting clinical concepts from user queries
Clinical concept extraction often begins with clinical Named Entity Reco...
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12/01/2019
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
A new semi-supervised ensemble algorithm called XGBOD (Extreme Gradient ...
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11/29/2019
On the Equilibria and Efficiency of Electricity Markets with Renewable Power Producers and Congestion Constraints
With increasing renewable penetration in power systems, a prominent chal...
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11/23/2019
DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles
Selecting and combining the outlier scores of different base detectors u...
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11/11/2019
RNN-Test: Adversarial Testing Framework for Recurrent Neural Network Systems
While huge efforts have been investigated in the adversarial testing of ...
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09/21/2019
Combining Machine Learning Models using combo Library
Model combination, often regarded as a key sub-field of ensemble learnin...
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04/16/2019
SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula
Synthetic population generation is the process of combining multiple soc...
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01/14/2019
Music Artist Classification with Convolutional Recurrent Neural Networks
Previous attempts at music artist classification use frame-level audio f...
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01/06/2019
PyOD: A Python Toolbox for Scalable Outlier Detection
PyOD is an open-source Python toolbox for performing scalable outlier de...
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12/26/2018
Practical Adversarial Attack Against Object Detector
In this paper, we proposed the first practical adversarial attacks again...
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12/04/2018
LSCP: Locally Selective Combination in Parallel Outlier Ensembles
In unsupervised outlier ensembles, the absence of ground truth makes the...
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10/06/2018
Indirect Mechanism Design for Efficient and Stable Renewable Energy Aggregation
Mechanism design is studied for aggregating renewable power producers (R...
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08/28/2018
DLFuzz: Differential Fuzzing Testing of Deep Learning Systems
Deep learning (DL) systems are increasingly applied to safety-critical d...
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06/02/2018
Federated Learning with Non-IID Data
Federated learning enables resource-constrained edge compute devices, su...
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04/17/2018
PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities
Data of different modalities generally convey complimentary but heteroge...
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01/24/2018
CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition
ASR (automatic speech recognition) systems like Siri, Alexa, Google Voic...
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10/21/2017
A Learning-to-Infer Method for Real-Time Power Grid Topology Identification
Identifying arbitrary topologies of power networks in real time is a com...
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10/12/2017
An empirical study of touch-based authentication methods on smartwatches
The emergence of smartwatches poses new challenges to information securi...
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10/10/2017
An Extension of Deep Pathway Analysis: A Pathway Route Analysis Framework Incorporating Multi-dimensional Cancer Genomics Data
Recent breakthroughs in cancer research have come via the up-and-coming ...
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03/08/2017
A Pursuit of Temporal Accuracy in General Activity Detection
Detecting activities in untrimmed videos is an important but challenging...
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08/05/2015
3D Automatic Segmentation Method for Retinal Optical Coherence Tomography Volume Data Using Boundary Surface Enhancement
With the introduction of spectral-domain optical coherence tomography (S...
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05/28/2013