Deep learning and image processing
A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial
Expression Recognition
H. Siqueira, P. Barros, S. Magg, C. Weber, S. Wermter
Interpretation of convolutional neural networks for speech regression from
electrocorticography
M. Angrick, C. Herff, G. Johnson, J. Shih, D. Krusienski, T. Schultz
Transferring style in motion capture sequences with adversarial learning
Q. Wang, M. Chen, T. Artières, L. Denoyer
Properties of adv-1 – Adversarials of Adversarials
N. Worzyk, O. Kramer
An analysis of subtask-dependency in robot command interpretation with
dilated CNNs
M. Eppe, T. Alpay, F. Abawi, S. Wermter
Image retrieval and ranking through Deep Comparative Neural Networks
A. Cherif, S. Jouili
Incremental learning with deep neural networks using a test-time oracle
A. Gepperth, S. Abdullah Gondal
Image-to-Text Transduction with Spatial Self-Attention
S. Springenberg, E. Lakomkin, C. Weber, S. Wermter
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets
J. Wagner, V. Fischer, M. Herman, S. Behnke
Towards cognitive automotive environment modelling: reasoning based on
vector representations
F. Mirus, T. C. Stewart, J. Conradt
Inferencing based on unsupervised learning of disentangled representations
T. Hinz, S. Wermter
Dynamic autonomous image segmentation based on Grow Cut
A.-I. Marinescu, Z. Bálint, L. Dioşan, A. Andreica
P. Springstübe, S. Heinrich, S. Wermter
Active Learning based on Transfer Learning Techniques for Image
Classification
D. Onita, A. Birlutiu
Near-optimal facial emotion classification using a WiSARD-based weightless
system
L. Lusquino Filho, F. França, P. Lima
Spatial pooling as feature selection method for object recognition
M. Kirtay, L. Vannucci, U. Albanese, A. Ambrosano, E. Falotico, C. Laschi
Interaction and User Integration in Machine Learning for
Information Visualisation
Information visualisation and machine learning: latest trends towards
convergence
B. Frenay, B. Dumas, J. A. Lee
VisCoDeR: A tool for visually comparing dimensionality reduction algorithms
R. Cutura, S. Holzer, M. Aupetit, M. Sedlmair
G-Rap: interactive text synthesis using recurrent neural network suggestions
U. Schlegel, E. Cakmak, J. Buchmüller, D. Keim
Interactive dimensionality reduction of large datasets using interpolation
I. Diaz-Blanco, D. Perez, A. A. Cuadrado, D. Garcia-Perez, D. Manuel
Nonlinear dimensionality reduction
Perplexity-free t-SNE and twice Student tt-SNE
C. de Bodt, D. Mulders, M. Verleysen, J. A. Lee
Generative Kernel PCA
J. Schreurs, J. Suykens
Extensive assessment of Barnes-Hut t-SNE
C. de Bodt, D. Mulders, M. Verleysen, J. A. Lee
Understanding wafer patterns in semiconductor production with variational
auto-encoders
T. Santos, R. Kern
Feature noise tuning for resource efficient Bayesian Network Classifiers
L. I. Galindez Olascoaga, J. Vlasselaer, W. Meert, M. Verhelst
Reliable Patient Classification in Case of Uncertain Class Labels Using a
Cross-Entropy Approach
A. Villmann, M. Kaden, S. Saralajew, W. Hermann, T. Villmann
Behaviour-based working memory capacity classification using recurrent
neural networks
M. Salous, F. Putze
Structuring and Solving Multi-Criteria Decision Making Problems using
Artificial Neural Networks: a smartphone recommendation case
V. Amaral De Sousa, A. Simonofski, M. Snoeck, I. Jureta
Efficient accuracy estimation for instance-based incremental active learning
C. Limberg, H. Wersing, H. Ritter
Boolean kernels for interpretable kernel machines
M. Polato, F. Aiolli
The minimum effort maximum output principle applied to Multiple Kernel
Learning
I. Lauriola, M. Polato, F. Aiolli
One-class Autoencoder approach to classify Raman spectra outliers
K. Hofer-Schmitz, P.-H. Nguyen, K. Berwanger
Radar Based Pedestrian Detection using Support Vector Machine and the
Micro Doppler Effect
J. V. Bruneti Severino, A. Zimmer, L. dos Santos Coelho, R. Zanetti Freire
Opposite neighborhood: a new method to select reference points of minimal
learning machines
M. Dias, L. Sousa, A. Rocha Neto, A. Souza Júnior
A neural network cost function for highly class-imbalanced data sets
D. Twomey, D. Gorse
Self-learning assembly systems during ramp-up
R. Schönherr, M. Knaller, M. Philipp
Feasibility based Large Margin Nearest Neighbor metric learning
B. Hosseini, B. Hammer
Combining latent tree modeling with a random forest-based approach, for
genetic association studies
C. Sinoquet, K. Mekhnacha
Graph based neural networks for automatic classification of multiple sclerosis
clinical courses
F. Calimeri, A. Marzullo, C. Stamile, G. Terracina
Regression and recommendation systems
Extreme Minimal Learning Machine
T. Kärkkäinen
Learning with a Fisher surrogate loss in a small data regime
M. Djerrab, A. Garcia, F. D'Alché-Buc
Fast Power system security analysis with Guided Dropout
B. Donnot, I. Guyon, A. Marot, M. Schoenauer, P. Panciatici
Neural Networks for Implicit Feedback Datasets
J. Feigl, M. Bogdan
Regularize and explicit collaborative filtering with textual attention
C.-E. Dias, V. Guigue, P. Gallinari
Adaptive random forests for data stream regression
H. M. Gomes, J. P. Barddal, L. E. Boiko, A. Bifet
Cache-efficient Gradient Descent Algorithm
I. Chakroun, T. Vander Aa, T. Ashby
Sensitivity analysis for predictive uncertainty
S. Depeweg, J. M. Hernández-Lobato, S. Udluft, T. Runkler
Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization
Path
A. Catalina, C. M. Alaíz, J. R. Dorronsoro
Shallow and Deep models for transfer learning and domain
adaptation
Shallow and Deep Models for Domain Adaptation problems
S. Mehrkanoon, M. Blaschko, J. Suykens
Unsupervised domain adaptation of deep object detectors
D. Majumdar, V. Namboodiri
Machine Learning and Data Analysis in Astroinformatics
Machine learning and data analysis in astroinformatics
M. Biehl, K. Bunte, G. Longo, P. Tino
Anomaly detection in star light curves using hierarchical Gaussian processes
H. Chen, T. Diethe, N. Twomey, P. Flach
Latent representations of transient candidates from an astronomical image
difference pipeline using Variational Autoencoders
P. Huijse, N. Astorga, P. Estevez, G. Pignata
Globular Cluster Detection in the Gaia Survey
M. Mohammadi, R. Peletier, F.-M. Schleif, N. Petkov, K. Bunte
Stellar formation rates in galaxies using machine learning models
M. Delli Veneri, S. Cavuoti, M. Brescia, G. Riccio, G. Longo
Prototype-based analysis of GAMA galaxy catalogue data
A. Nolte, L. Wang, M. Biehl
Deep Learning in Bioinformatics and Medicine
Bioinformatics and medicine in the era of deep learning
D. Bacciu, P. Lisboa, J. D. Martin, R. Stoean, A. Vellido
Controlling biological neural networks with deep reinforcement learning
J. Wülfing, S. Saseendran Kumar, J. Boedecker, M. Riedmiller, U. Egert
Learning compressed representations of blood samples time series with
missing data
F. M. Bianchi, K. Ø. Mikalsen, R. Jenssen
Sleep staging with deep learning: a convolutional model
I. Fernández-Varela, D. Athanasakis, S. Parsons, E. Hernández-Pereira,
V. Moret-Bonillo
Interpreting deep learning models for ordinal problems
J. P. Amorim, I. Domingues, P. H. Abreu, J. Santos
Non-negative Matrix Factorization for Medical Imaging
M. Atencia, R. Stoean
Multi-omics data integration using cross-modal neural networks
I. Bica, P. Velickovic, H. Xiao, P. Lio'
DEEP: decomposition feature enhancement procedure for graphs
V. D. Tran, N. Navarin, A. Sperduti
Deep Echo State Networks for Diagnosis of Parkinson's Disease
C. Gallicchio, A. Micheli, L. Pedrelli
Capturing variabilities from Computed Tomography images with Generative
Adversarial Networks (GANs)
U. Javaid, J. A. Lee
Pollen grain recognition using convolutional neural network
N. Khanzhina, E. Putin, A. Filchenkov, E. Zamyatina
Randomized Neural Networks
Randomized Recurrent Neural Networks
C. Gallicchio, A. Micheli, P. Tino
Bidirectional deep-readout echo state networks
F. M. Bianchi, S. Scardapane, S. Løkse, R. Jenssen
Forecasting Business Failure in Highly Imbalanced Distribution based on
Delay Line Reservoir
A. Rodan, P. A. Castillo, H. Faris, A. M. Al-Zoubi, A.M. Mora, H. Jawazneh
Estimation of the Human Concentration using Echo State Networks
H. Dashdamirov, S. Basterrech
Quantifying the Reservoir Quality using Dimensionality Reduction Techniques
T. Burianek, S. Basterrech
Clustering and feature selection
Scalable robust clustering method for large and sparse data
J. Hämäläinen, T. Kärkkäinen, T. Rossi
Clustering with decision trees: divisive and agglomerative approach
L. Castin, B. Frenay
Comparison of cluster validation indices with missing data
M. Niemelä, S. Äyrämö, T. Kärkkäinen
Efficient approximate representations for computationally expensive features
R. Santos-Rodriguez, N. Twomey
Regularised maximum-likelihood inference of mixture of experts for regression
and clustering
B. T. Huynh, F. Chamroukhi
Feature selection for label ranking
N. Sánchez-Maroño, B. Pérez-Sánchez
A novel filter algorithm for unsupervised feature selection based on a space
filling measure
M. Laib, M. Kanevski
Mathematical aspects of learning, and reinforcement learning
Asymptotic statistics for multilayer perceptron with ReLu hidden units
J. Rynkiewicz
Local Rademacher Complexity Machine
L. Oneto, S. Ridella, D. Anguita
A sharper bound on the Rademacher complexity of margin multi-category
classifiers
K. Musayeva, F. Lauer, Y. Guermeur
Slowness-based neural visuomotor control with an Intrinsically motivated
Continuous Actor-Critic
M. B. Hafez, M. Kerzel, C. Weber, S. Wermter
A variable projection method for block term decomposition of higher-order
tensors
G. Olikier, P.-A. Absil, L. De Lathauwer
Reinforcement Learning for High-Frequency Market Making
Y.-S. Lim, D. Gorse
Emerging trends in machine learning: beyond conventional
methods and data
Emerging trends in machine learning: beyond conventional methods and data
L. Oneto, N. Navarin, M. Donini, D. Anguita
Finding the most interpretable MDS rotation for sparse linear models based on
external features
A. Bibal, R. Marion, B. Frenay
Mixture of Hidden Markov Model as Tree Encoder
D. Bacciu, D. Castellana
Set point thresholds from topological data analysis and an outlier detector
A. Carrega
Differential private relevance learning
J. Brinkrolf, K. Berger, B. Hammer
On aggregation in ranking median regression
S. Clémençon, A. Korba
Temporal transfer learning for drift adaptation
D. Won, P. Jansen, J. Carbonell
LANN-DSVD: A privacy-preserving distributed algorithm for machine
learning
O. Fontenla-Romero, B. Guijarro-Berdiñas, B. Pérez-Sánchez,
M. Gómez-Casal
Vector Field Based Neural Networks
D. Vieira, F. Rangel, F. Firmino, J. Paixao
Temporal data, sequences and incremental learning
Non-Negative Tensor Dictionary Learning
A. Traoré, M. Berar, A. Rakotomamonjy
An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series
M. A. Alves, P. Cândido de Lima e Silva, C. A. Severiano Junior,
G. Linhares Vieira, F. Gadelha Guimarães, H. Javedani Sadaei
Surprisal-based activation in recurrent neural networks
T. Alpay, F. Abawi, S. Wermter
K-spectral centroid: extension and optimizations
B. Conan-Guez, A. Gély, L. Boudjeloud-Assala, A. Blansché
Temporal modeling of ALS using longitudinal data and long-short term
memory-based algorithm
A. Nahon, B. Lerner
Meerkats-inspired Algorithm for Global Optimization Problems
C. E. Klein, L. dos Santos Coelho
Cheetah Based Optimization Algorithm: A Novel Swarm Intelligence
Paradigm
C. E. Klein, V. Cocco Mariani, L. dos Santos Coelho
Evolutionary Composition of Customized Fault Localization Heuristics
D. de-Freitas, L.-J. Plinio, C. Camilo-Junior, R. Harrison
Order Crossover for the Inventory Routing Problem
M. S. Amri Sakhri, M. Tlili, H. Allaoui, O. Korbaa
Person Identification and Discovery With Wrist Worn Accelerometer Data
R. McConville, R. Santos-Rodriguez, N. Twomey
CDTW-based classification for Parkinson's Disease diagnosis
N. Khoury, F. Attal, Y. Amirat, A. Chibani, S. Mohammed
Personalizing human activity recognition models using incremental learning
P. Siirtola, H. Koskimäki, J. Röning
Short-term Memory of Deep RNN
C. Gallicchio
Effect of context in swipe gesture-based continuous authentication on
smartphones
P. Siirtola, J. Komulainen, V. Kellokumpu
Impact of Biases in Big Data
Impact of Biases in Big Data
P. Glauner, P. Valtchev, R. State
Analysis of imputation bias for feature selection with missing data
B. Seijo-Pardo, A. Alonso-Betanzos, K. Bennett, V. Bolon-Canedo, I. Guyon,
J. Josse, M. Saeed
Systematics aware learning : a case study in high energy physics
V. Estrade, C. Germain, I. Guyon, D. Rousseau
Optimization and metaheuristics
Evolutionary RL for Container Loading
S. Saikia, R. Verma, P. Agarwal, G. Shroff, L. Vig, A. Srinivasan
Enhancement of a stochastic Markov-blanket framework with ant colony
optimization, to uncover epistasis in genetic association studies
C. Sinoquet, C. Niel
Meerkats-inspired Algorithm for Global Optimization Problems
C. E. Klein, L. dos Santos Coelho
Cheetah Based Optimization Algorithm: A Novel Swarm Intelligence
Paradigm
C. E. Klein, V. Cocco Mariani, L. dos Santos Coelho
Evolutionary Composition of Customized Fault Localization Heuristics
D. de-Freitas, L.-J. Plinio, C. Camilo-Junior, R. Harrison
Order Crossover for the Inventory Routing Problem
M. S. Amri Sakhri, M. Tlili, H. Allaoui, O. Korbaa