Year  Title  Author 
2017

Probabilistic Modeling and Visualization for Bankruptcy Prediction 
F Antunes, B Ribeiro, F Pereira

2017

Probabilistic Graphical Models & Deep Learning 
IR Jainaga

2017

Integrating EndtoEnd Learned Steering into Probabilistic Autonomous Driving 
C Hubschneider, A Bauer, J Doll, M Weber, S Klemm

2017

Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network 
H Wang, H Yi, J Peng, G Wang, Y Liu, H Jiang, W Liu

2017

A Probabilistic Signal Representation for Detecting Faults in Highly Fragmented and DownSampled Vibration Signals 
D Lee, V Siu, R Cruz, G Tolentino, C Yetman, P Thoi

2017

RDBN: A Resistive Deep Belief Network Architecture Leveraging the Intrinsic Behavior of Probabilistic Devices 
R Zand, KY Camsari, I Ahmed, SD Pyle, CH Kim

2017

A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks 
Q Su, X Liao, L Carin

2017

Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network 
GG Slabaugh, K Knapp, SM Al

2017

Probabilistic lower bounds for approximation by shallow perceptron networks 
V Kůrková, M Sanguineti

2017

TensorLog: Deep Learning Meets Probabilistic DBs 
WW Cohen, F Yang, KR Mazaitis

2017

Comprehensive identification of multiple harmonic sources using fuzzy logic and adjusted probabilistic neural network 
A Moradifar, AA Foroud, KG Firouzjah

2017

Intrusion Detection Using Deep Belief Network and Probabilistic Neural Network 
G Zhao, C Zhang, L Zheng

2017

Efficient learning and inference for probabilistic graphical models 
S Nie

2017

Probabilistic Image Colorization 
A Royer, A Kolesnikov, CH Lampert

2017

Probabilistic forecasting of symbol sequences with deep neural networks 
M Hauser, Y Fu, Y Li, S Phoha, A Ray

2017

Probabilistic Generative Adversarial Networks 
H Eghbal

2017

Confidence Values and Compact Rule Extraction From Probabilistic Neural Networks 
S Odense, AA Garcez

2017

Learning Probabilistic Programs Using Backpropagation 
A Pfeffer

2016

How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks 
CK Sønderby, T Raiko, L Maaløe, SK Sønderby

2016

Learning relational probabilistic action models for online planning with decision forests 
L Belzner, A Neitz

2016

Using Machine Learning and Probabilistic Frameworks to Enhance Incident and Problem Management: Automated Ticket Classification and Structuring 
A Sailer, R Mahindru, Y Song, X Wei

2016

Acquisition of Visual Features Through Probabilistic SpikeTimingDependent Plasticity 
A Tavanaei, T Masquelier, AS Maida

2016

Deep belief network based deterministic and probabilistic wind speed forecasting approach 
HZ Wang, GB Wang, GQ Li, JC Peng, YT Liu

2016

Probabilistic visual search for masses within mammography images using deep learning 
MG Ertosun, DL Rubin

2016

Probabilistic Reasoning via Deep Learning: Neural Association Models 
Q Liu, H Jiang, ZH Ling, S Wei, Y Hu

2016

Learning probabilistic inference through STDP 
D Pecevski, W Maass

2016

The Emergence of Selective Attention through Probabilistic Associations between Stimuli and Actions 
L Simione, S Nolfi

2016

Deep learning based ensemble approach for probabilistic wind power forecasting 
H Wang, G Li, G Wang, J Peng, H Jiang, Y Liu

2016

Deep vessel tracking: A generalized probabilistic approach via deep learning 
A Wu, Z Xu, M Gao, M Buty, DJ Mollura

2016

Probabilistic Feature Learning Using Gaussian Process AutoEncoders 
S Olofsson

2016

A Probabilistic Framework for Deep Learning 
AB Patel, MT Nguyen, R Baraniuk

2016

Probabilistic Modeling of Future Frames from a Single Image 
T Xue, J Wu, K Bouman, B Freeman

2016

A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding 
R Zhang, J Wu, C Zhang, WT Freeman, JB Tenenbaum

2016

Learning to Discover Probabilistic Graphical Model Structures 
E Belilovsky, K Kastner, G Varoquaux, M Blaschko

2016

SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder 
NA Moubayed, T Breckon, P Matthews, AS McGough

2016

Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks 
T Xue, J Wu, KL Bouman, WT Freeman

2016

Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction 
A Sengupta, M Parsa, B Han, K Roy

2016

Neural Probabilistic Models for Melody Prediction, Sequence Labelling and Classification 
S Cherla

2016

Probabilistic and Deep Learning Algorithms for the Analysis of Imagery Data 
S Basu

2015

Joint probabilistic approach for realtime face recognition with transfer learning 
NTN Wi, J Botzheim, N Kubota

2015

Deep Transform: Error Correction via Probabilistic ReSynthesis 
AJR Simpson

2015

Kinematicbased Markerless Human Tracking in 3D Probabilistic Occupancy Grids 
R Andrade de Bem

2015

Probabilistic combination of classification rules and its application to medical diagnosis 
JM Tomczak, M Zięba

2015

A Probabilistic Theory of Deep Learning 
AB Patel, T Nguyen, RG Baraniuk

2015

Probabilistic BinaryMask CocktailParty Source Separation in a Convolutional Deep Neural Network 
AJR Simpson

2015

Probabilistic slow feature analysis‐based representation learning from massive process data for soft sensor modeling 
C Shang, B Huang, F Yang, D Huang

2015

A Probabilistic Interpretation for Artificial Neural Networkbased Voice Conversion 
HT Hwang, Y Tsao, HM Wang, YR Wang, SH Chen

2015

A Probabilistic Multiple Criteria Sorting Approach Based On Distance Functions 
BÇ Aydın, E Karasakal, C İyigün

2015

Learning to Estimate Dynamical State with Probabilistic Population Codes 
JG Makin, BK Dichter, PN Sabes

2015

Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets 
S Basu, M Karki, S Ganguly, R DiBiano

2015

Probabilistic machine learning and artificial intelligence 
Z Ghahramani

2015

Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines 
CEC Chacón

2015

Locating Facial Landmarks Using Probabilistic Random Forest 
C Luo, Z Wang, S Wang, J Zhang, J Yu

2015

Humanlevel concept learning through probabilistic program induction 
BM Lake, R Salakhutdinov, JB Tenenbaum

2015

Humans predict liquid dynamics using probabilistic simulation 
CJ Bates, I Yildirim, JB Tenenbaum, PW Battaglia

2015

Neural SimpletronsMinimalistic Probabilistic Networks for Learning With Few Labels 
D Forster, AS Sheikh, J Lücke

2015

Neural Implementation of Probabilistic Models of Cognition 
M Kharratzadeh, TR Shultz

2015

Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation 
TD Bui, JM Hernández

2015

MultiObject Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models 
T Nimmagadda, A Anandkumar

2015

Deep Transform: Cocktail Party Source Separation via Probabilistic ReSynthesis 
AJR Simpson

2015

Deep Transform: TimeDomain Audio Error Correction via Probabilistic ReSynthesis 
AJR Simpson

2015

Realtime recognition of piecewiseregular objects with the homogeneitytesting probabilistic neural network and the directed enumeration method 
A Savchenko

2015

A scalable and adaptable probabilistic model embedded in an electronic nose for intelligent sensor fusion 
CT Tang, CM Huang, KT Tang, H Chen

2014

SoF: SoftCluster Matrix Factorization for Probabilistic Clustering 
H Zhao, P Poupart, Y Zhang, M Lysy
