Classification and Bayesian learning
Conditional BRUNO: a neural process for exchangeable labelled data
I. Korshunova, Y. Gal, A. Gretton, J. Dambre
Interpretable dynamics models for data-efficient reinforcement learning
M. Kaiser, C. Otte, T. Runkler, C. H. Ek
PAC-Bayes and Fairness: Risk and Fairness Bounds on Distribution Dependent
Fair Priors
L. Oneto, M. Donini, M. Pontil
DropConnect for Evaluation of Classification Stability in Learning Vector
Quantization
J. Ravichandran, S. Saralajew, T. Villmann
Pixel-wise Conditioning of Generative Adversarial Networks
C. Ruffino, R. Hérault, E. Laloy, G. Gasso
Committees as Artificial Organisms - Evolution and Adaptation
R. Alamino
Towards a device-free passive presence detection system with Bluetooth Low
Energy beacons
M. Münch, K. Huffstadt, F.-M. Schleif
Defending against poisoning attacks in online learning settings
G. Collinge, E. C. Lupu, L. Muñoz-González
Hybrid vibration signal monitoring approach for rolling element bearings
J. Kansanaho, T. Kärkkäinen
Modal sense classification with task-specific context embeddings
B. Li, M. Dehouck, P. Denis
Adversarial robustness of linear models: regularization and dimensionality
I. Megyeri, I. Hegedus, M. Jelasity
A Simple and Effective Scheme for Data Pre-processing in Extreme
Classification
S. Khandagale, R. Babbar
MAP best performances prediction for endurance runners
D. de Smet d'Olbecke, M. Francaux, L. Baijot, M. Verleysen
TrIK-SVM : an alternative decomposition for kernel methods in Krein spaces
G. Loosli
Embeddings and Representation Learning for Structured Data
Embeddings and Representation Learning for Structured Data
B. Paaßen, C. Gallicchio, A. Micheli, A. Sperduti
Graph generation by sequential edge prediction
D. Bacciu, A. Micheli, P. Marco
On the definition of complex structured feature spaces
N. Navarin, D. V. Tran, A. Sperduti
Deep Weisfeiler-Lehman assignment kernels via multiple kernel learning
N. M. Kriege
Predicting vehicle behaviour using LSTMs and a vector power representation
for spatial positions
F. Mirus, P. Blouw, S. Terrence, J. Conradt
Efficient learning of email similarities for customer support
J. Bakker, K. Bunte
Nonnegative matrix factorization with polynomial signals via hierarchical
alternating least squares
C. Hautecoeur, F. Glineur
Deep learning and CNN
Deep Embedded SOM: joint representation learning and self-organization
F. Forest, L. Mustapha, A. Hanane, J. Lacaille
Deep convolutional neural network for survival estimation of Amyotrophic
Lateral Sclerosis patients
E. Grisan, A. Zandonà, B. Di Camillo
Detecting adversarial examples with inductive Venn-ABERS predictors
J. Peck, B. Goossens, Y. Saeys
Learning Rich Event Representations and Interactions for Temporal Relation
Classification
O. Pandit, P. Denis, L. Ralaivola
L1-norm double backpropagation adversarial defense
I. Seck, G. Loosli, S. Canu
Application of deep neural networks for automatic planning in radiation
oncology treatments
A. Barragan Montero, D. Nguyen, W. Lu, M.-H. Lin, X. Geets, E. Sterpin,
S. Jiang
Conditional WGAN for grasp generation
F. Patzelt, R. Haschke, H. Ritter
Multilingual short text categorization using convolutional neural network
L. Enamoto, L. Weigang
Fast and reliable architecture selection for convolutional neural networks
L. Hahn, L. Roese-Koerner, K. Friedrichs, A. Kummert
On the Speedup of Deep Reinforcement Learning Deep Q-Networks (RL-DQNs)
A. Albaghajati, L. Ghouti
Deep Autoencoder Feature Extraction for Fault Detection of Elevator Systems
K. M. Mishra, T. Krogerus, K. Huhtala
Detecting Ghostwriters in High Schools
M. Stavngaard, A. Sørensen, S. Lorenzen, N. Hjuler, S. Alstrup
Design of Power-Efficient FPGA Convolutional Cores with Approximate Log
Multiplier
L. Tavares Oliveira, M. S. Kim, A. Del Barrio García, N. Bagherzadeh,
R. Menotti
Improving Pedestrian Recognition using Incremental Cross Modality Deep
Learning
D. O. Pop, A. Rogozan, F. Nashashibi, A. Bensrhair
Machine learning in research and development of new vaccines products:
opportunities and challenges
P. Smyth, G. De Lannoy, M. Von Stosch, A. Pysik, A. Khan
Real-time Convolutional Neural Networks for emotion and gender
classification
M. Valdenegro-Toro, O. Arriaga, P. Plöger
Learning methods and optimization
Experimental study of the neuron-level mechanisms emerging from
backpropagation
S. Carbonnelle, C. De Vleeschouwer
Learning multimodal fixed-point weights using gradient descent
L. Enderich, F. Timm, L. Rosenbaum, W. Burgard
Preconditioned conjugate gradient algorithms for graph regularized matrix
completion
S. Dong, P.-A. Absil, K. Gallivan
Direct calculation of out-of-sample predictions in multi-class kernel FDA
T. Matthias
Complex Valued Gated Auto-encoder for Video Frame Prediction
N. Azizi, N. Wandel, S. Behnke
On overfitting of multilayer perceptrons for classification
J. Rynkiewicz
Very Simple Classifier: a concept binary classifier to investigate features
based on subsampling and locality
M. Luca, B. Enrico
Sparse minimal learning machine using a diversity measure minimization
M. Dias, L. Sousa, A. Rocha Neto, C. Mattos, J. Gomes, T. Kärkkäinen
Minimax center to extract a common subspace from multiple datasets
E. Renard, P.-A. Absil, K. Gallivan
Interpolation on the manifold of fixed-rank positive-semidefinite matrices for
parametric model order reduction: preliminary results
E. Massart, P.-Y. Gousenbourger, T. S. Nguyen, T. Stykel, P.-A. Absil
Progress Towards Graph Optimization: Efficient Learning of Vector to Graph
Space Mappings
S. Mautner, R. Backofen, F. Costa
60 Years of Weightless Neural Systems
Systems with 'subjective feelings' - the perspective from weightless automata
I. Aleksander, H. Morton
Prediction of palm oil production with an enhanced n-Tuple Regression
Network
L. Lusquino Filho, L. Oliveira, A. Lima Filho, G. Guarisa,
P. Machado Vieira Lima, F. Maia Galvão França
Memory Efficient Weightless Neural Network using Bloom Filter
L. Santiago de Araújo, L. Dias Verona, F. Medeiros Rangel,
F. Firmino de Faria, D. Sadoc Menasche, W. Caarls, M. Breternitz,
S. Kundu, P. Machado Vieira Lima, F. Maia Galvão França
A WNN model based on Probabilistic Quantum Memories
P.G.M. dos Santos, R. S. Sousa, A. J. da Silva
Weightless neural systems for deforestation surveillance and image-based
navigation of UAVs in the Amazon forest
E. Ribeiro, V. Torres, B. James, M. Braga, E. Shiguemori, H. Velho,
L. Torres, A. Braga
An evolutionary approach for optimizing weightless neural networks
M. Giordano, M. De Gregorio
Modeling Sparse Data as Input for Weightless Neural Network
L. Kopp, J. B. Filho, P. Machado Vieira Lima, C. de Farias
Domain adaptation and learning
Multi-target feature selection through output space clustering
K. Sechidis, E. Spyromitros-Xioufis, I. Vlahavas
Feature relevance bounds for ordinal regression
L. Pfannschmidt, J. Jakob, M. Biehl, P. Tino, B. Hammer
User-steering interpretable visualization with probabilistic principal
components analysis
V. M. Vu, B. Frénay
Metric learning with submodular functions
J. Pan, H. Le Capitaine
Fusing Features based on Signal Properties and TimeNet for Time Series
Classification
A. Ukil, P. Malhotra, S. Bandyopadhyay, T. Bose, I. Sahu, A. Mukherjee,
L. Vig, A. Pal, G. Shroff
Metric learning with relational data
J. Pan, H. Le Capitaine and Algorithm Selection for Capacitated Vehicle Routing Problems
J. Rasku, N. Musliu, T. Kärkkäinen
Topic-based historical information selection for personalized sentiment
analysis
S. Guo, S. Höhn, C. Schommer
Bridging face and sound modalities through domain adaptation metric learning
C. Athanasiadis, E. Hortal, S. Asteriadis
Model selection for Extreme Minimal Learning Machine using sampling
T. Kärkkäinen
Knowledge Discovery in Quarterly Financial Data of Stocks Based on the
Prime Standard using a Hybrid of a Swarm with SOM
M. Thrun
Dimensionality reduction in a hydraulic valve positioning application
T. Wiens
Class-aware t-SNE: cat-SNE
C. De Bodt, D. Mulders, D. Lopez-Sanchez, M. Verleysen, J. Lee
Variational auto-encoders with Student's t-prior
N. Abiri, M. Ohlsson
Streaming data analysis, concept drift and analysis of dynamic data
sets
Recent trends in streaming data analysis, concept drift and analysis of dynamic
data sets
A. Bifet, B. Hammer, F.-M. Schleif
Online Bayesian Shrinkage Regression
W. Jamil, A. Bouchachia
Reactive Soft Prototype Computing for frequent reoccurring Concept Drift
C. Raab, M. Heusinger, F.-M. Schleif
Beta Distribution Drift Detection for Adaptive Classifiers
L. Fleckenstein, S. Kauschke, J. Fürnkranz
Importance of user inputs while using incremental learning to personalize
human activity recognition models
P. Siirtola, H. Koskimäki, J. Röning
Societal Issues in Machine Learning: When Learning from Data is
Not Enough
Societal Issues in Machine Learning: When Learning from Data is Not Enough
D. Bacciu, B. Biggio, P. Lisboa, J. D. Martìn, L. Oneto, A. Vellido
Privacy Preserving Synthetic Health Data
A. Yale, S. Dash, R. Dutta, I. Guyon, A. Pavao, K. Bennett
Fairness and Accountability of Machine Learning Models in Railway Market:
are Applicable Railway Laws Up to Regulate Them?
C. Ducuing, L. Oneto, C. Renzo
Dynamic fairness - Breaking vicious cycles in automatic decision making
B. Paaßen, A. Bunge, C. Hainke, L. Sindelar, M. Vogelsang
Detecting Black-box Adversarial Examples through Nonlinear Dimensionality
Reduction
F. Crecchi, D. Bacciu, B. Biggio
Deep RL for autonomous robots: limitations and safety challenges
O. Andersson, P. Doherty
Explaining classification systems using sparse dictionaries
A. Apicella, F. Isgro, R. Prevete, A. Sorrentino, G. Tamburrini
Statistical physics of learning and inference
M. Biehl, N. Caticha, M. Opper, T. Villmann
Trust, law and ideology in a NN agent model of the US Appellate Courts
N. Caticha, F. Alves
On-line learning dynamics of ReLU neural networks using statistical physics
techniques
M. Straat, M. Biehl
Noise helps optimization escape from saddle points in the neural dynamics
F. Ying, Y. Zhaofei, C. Feng
Image processing and transfer learning
Deep hybrid approach for 3D plane segmentation
F. Gomez Marulanda, P. Libin, T. Verstraeten, A. Nowe
Visualizing image classification in fourier domain
F. Franzen, C. Yuan
Blind-spot network for image anomaly detection: A new approach to diabetic
retinopathy screening
S. Sutradhar, J. Rouco, M. Ortega
A document detection technique using convolutional neural networks for
optical character recognition systems
L. Dobai, M. Teletin
Learning super-resolution 3D segmentation of plant root MRI images from
few examples
A. O. Uzman, J. Horn, S. Behnke
Analyzing spatial dissimilarities in high-resolution geo-data : a case study of
four European cities
J. Randon-Furling, W. Clark, M. Olteanu
Computerized tool for identification and enhanced visualization of Macular
Edema regions using OCT scans
I. Otero Coto, P. F. Lizancos Vidal, J. de Moura, J. Novo, M. Ortega
A best-first branch-and-bound search for solving the transductive inference
problem using support vector machines
H. Xavier Araújo, R. Fonseca Neto, S. Moraes Villela
LEAP nets for power grid perturbations
B. Donnot, B. Donon, I. Guyon, L. Zhengying, A. Marot, P. Panciatici,
M. Schoenauer
Active one-shot learning with Prototypical Networks
R. Boney, A. Ilin .
Transfer Learning for transferring machine-learning based models
among hyperspectral sensors
P. Menz, A. Backhaus, U. Seiffert
Time series and signal processing
Multiple-Kernel dictionary learning for reconstruction and clustering of
unseen multivariate time-series
B. Hosseini, B. Hammer
Tensor factorization to extract patterns in multimodal EEG data
D. Mulders, C. De Bodt, N. Lejeune, J. Lee, A. Mouraux, M. Verleysen
Beyond Pham's algorithm for joint diagonalization
P. Ablin, J.-F. Cardoso, A. Gramfort
Frequency Domain Transformer Networks for Video Prediction
H. Farazi, S. Behnke
Comparison between DeepESNs and gated RNNs on multivariate time-series
prediction
C. Gallicchio, A. Micheli, L. Pedrelli
Autoregressive Convolutional Recurrent Neural Network for Univariate
and Multivariate Time Series Prediction
M. Maggiolo, G. Spanakis
Using Deep Learning and Evolutionary Algorithms for Time Series
Forecasting
R. Thomazi Gonzalez, D. Augusto Couto Barone
Lightweight autonomous bayesian optimization of Echo-State Networks
C. Luca, G. Franco, M. D. Santambrogio
Time series modelling of market price in real-time bidding
M. Du, C. Hammerschmidt, G. Varisteas, R. State, M. Brorsson, Z. Zhang
Dynamical systems and reinforcement learning
Short-term trajectory planning using reinforcement learning within a
neuromorphic control architecture
F. Mirus, B. Zorn, J. Conradt
Training networks separately on static and dynamic obstacles improves
collision avoidance during indoor robot navigation
V. Schmuck, D. Meredith
Human feedback in continuous actor-critic reinforcement learning
C. Millán, B. Fernandes, F. Cruz
Chasing the Echo State Property
C. Gallicchio
Author index
Committees