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ID Poster ID Author Title 433 26-1 Koh Takeuchi Higher Order Fused Regularization for Supervised Learning with Grouped Parameters 141 26-2 Hideko Kawakubo Coping with Class Balance Change in Classification: Class-Prior Estimation with Energy Distance 14 26-3 Yaser Souri Bird Part Localization with Random Forest on Deep Features for Fine-grained Classification 17 26-4 Florian Gesser Investigating the schizophrenic brain: Automated classification of biomarkers 279 26-5 Rel Guzman Apaza Exploratory Data Analysis for Predicting Reaction and Reception to Textual Content 28 26-6 Aizhan Ibraimova Automatic Library Classification for Scientific Articles 416 26-7 Atsushi Shibagaki Approximately optimal selection of regularization parameters for L2 regularized convex loss minimization problems for supervised classifications 284 26-9 Naoya Takeishi Modeling Spacecraft Telemetry Data using Dynamic Mixture Models 303 26-10 Syed Ali Asad Rizvi Can we beat the market more safely using Machine Learning? 49 26-11 Nauman Shahid Robust Principal Component Analysis On Graphs 60 26-12 Emanuele Frandi Frank-Wolfe Algorithms in Machine Learning: SVM Training, Lasso Regression and Other Applications 61 26-13 Hongzhou Lin spotlightProximal incremental majorization-minimization optimization method193 26-14 Christoph Manss Dictionary Learning for Sparsity Driven Exploration 322 26-15 Kevin Bello Medina Reconceptualizing the classification of specialization programs offered by Peruvian universities using Topic Modeling 195 26-16 Takagi Yu spotlightNeural link between Obsessive-compulsive disorder and delay discounting454 26-17 nazanin ZOUNEMAT KERMANI Comparative study of automated feature selection and classification techniques for detection of histological features by mass spectrometry imaging 327 26-18 Akira Tanimoto Operational Quality Management of Massive Predictive Models 72 26-19 Marine LE MORVAN spotlightCancer stratification from mutation profiles using gene networks83 26-20 Samuele Fiorini Detection of disease course in Multiple Sclerosis: a Machine Learning approach 469 26-21 yuki hagimoto Reasoning of Effective Attack Patterns Using the ILP in RoboCup Soccer Simulation 2D 94 26-22 Viktoria Rojkova Random matrices in unsupervised framework 226 26-23 Denis Ergashbaev Machine Learning Approximation Techniques Using Dual Trees 99 26-24 Woosang Lim spotlightTwo-step Nystrom Method: An Efficient and Accurate Kernel Matrix Approximation for Large-Scale Data Sets232 26-25 Nikola Mitrovic Low-dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data 444 26-26 Filipe Veiga Stabilizing Novel Objects by Learning to Predict Tactile Slip 108 26-27 Levent Sagun spotlightHigh Dimensional Surfaces and Optimization494 26-28 Rudolf Lioutikov Simultaneous Learning of Segmentations and Skill Libraries 189 26-29 Erina Ishikawa Using Designers' Perspective to Understand Content-Browsing Behavior 498 26-30 Werner Creixell Prediction of nutritional deficiencies in maize plants from optical properties using spectral signature 243 26-31 Thong Pham Digging up the past: A Bayesian Analysis of Complex Networks With Missing Timelines 376 26-32 Ronald Ahmed Cardenas Acosta Reconceptualizing the classification of specialization programs offered by Peruvian universities using Topic Modeling 378 26-33 Vincent Roulet Diversity learning through clustered penalties 252 26-34 Luca Ambrogioni Modelling spatiotemporal cortical dynamics using additive Gaussian processes. 255 26-35 Sho Sonoda Ridgelet Analysis of Recent Neural Networks -
ID Poster ID Author Title 513 27-1 Yigal Weinberger Mamography computer aided detection using hidden markov model algorithm 258 27-2 Kacper Chwialkowski Fast Two Sample Tests using Smooth Random Features 5 27-3 Robin Swezey spotlightRecommending Short-Lived Dynamic Packages for Golf Booking Services278 27-4 Vikram Kamath Exploring Architectures for the Iterative Neural Autoregressive Distribution Estimator (NADE-k) 135 27-5 Aubin Samacoits Developing statistical method and machine learning algorithm to study mRNA localization in human cells 265 27-6 Akshat Srivastava Robustness of LASSO 394 27-7 Miriam Srokova Machine Learning Based Air Traffic Flow 11 27-8 Mijung Park K2-ABC: Approximate Bayesian Computation with Infinite Dimensional Summary Statistics via Kernel Embeddings 534 27-10 Ilaria Giulini spotlightA PAC-Bayesian approach to principal component analysis in high dimension153 27-11 Tomoya Sakai Image registration based on squared-loss mutual information 160 27-12 Inbal Horev Intrinsic Principal Component Analysis for Symmetric Positive Definite Matrices 432 27-13 Jessa Bekker Learning Markov Networks with Sentential Decision Diagrams 419 27-14 Toshiyuki Takada Privacy preserving logistic regression by using piecewise-linear approximation 241 27-16 Seyedeh Mohadeseh Ghasempour Ganji Generalized Modularity for community detection 93 27-17 Louisa Kessi Automatic Modeling and Recognition of Heterogeneous Logical Structures from Digitized Business Documents 48 27-18 Ikko Yamane Regularized multi-task learning for multi-dimensional log-density gradient estimation 318 27-19 Mariano Gabitto Bayesian Inference of Spinal Interneurons Classes Reveals Diverse and Spatially Clustered Cell Types 452 27-20 Jean-Baptiste Alayrac Structured learning from video and natural language 330 27-21 Ayaka Sakata spotlightReplica Symmetric Bound for Restricted Isometry Constant461 27-22 Shunya Ueta Semi-supervised learning using a contour integral-based eigensolver in computer vision. 79 27-23 Shanshan (Sherry) Ruan Representation Discovery for MDPs Using Bisimulation Metrics 339 27-24 Ryosuke Kojima Multimodal scene understanding using CNN and hierarchical HMM for a cooking support robot 472 27-25 Tyler Garvin Ginkgo: interactive analysis and quality assessment of single-cell copy number variation 477 27-26 Duy Khuong Nguyen Fast Anti-lopsided Algorithm for Nonnegative Matrix Factorization in High Dimensional Space 481 27-27 Gudmundur Einarsson Motion Analysis from Scene Flow 234 27-28 Gilad Amar Deep Learning in Radio Astronomy 236 27-29 Kelvin Xu Show Attend and Tell: Neural Image Caption Generation with Visual Attention 110 27-30 Alexander Schmitz Tactile Object Recognition and In-Hand Manipulation with the TWENDY-ONE hand 113 27-31 Nare Karapetyan Car Parking System 467 27-32 Hiroaki Sasaki Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation 254 27-33 Takanori Sugiyama Review of Quantum Machine Learning 121 27-34 Yongxin Yang A Unified Perspective on Multi-Domain and Multi-Task Learning 510 27-35 Jiawen Lin Recommendation in IOT: A Context-aware Recommender System Based on Indoor Positioning and Tracking -
ID Poster ID Author Title 389 28-1 Adrien Martel EEG-based Neurofeedback for sustained attention enhancement 557 28-2 Dorota Blaszczuk Machine Learning application in insurance - telematics data sets 6 28-3 Masayuki Ohzeki spotlightStatistical-mechanical analysis of pre-training and fine tuning in deep learning402 28-4 Paavo Parmas Inverted Pendulum Using Machine Learning and Computer Vision 408 28-5 Satoshi Takabe Typical behavior of the linear programming method for combinatorial optimization problems 156 28-6 Keisuke Yano Bayesian Multi-step Ahead Prediction and Model Selection 33 28-7 Seirana Hashemi Ranjbar Incorporating protein domain for sparse classifiers in cancer associations 423 28-8 Olga Zhukova Algorithm selection for examination timetabling using machine learning techniques 427 28-9 Hiroyuki Hanada Enumerating Eulerian Trails Based on Line Graph Conversion 173 28-10 Yifan Wu On identifying good options under combinatorially structured feedback in finite noisy environments 438 28-11 Bruno Lourenco Squared slack variables in nonlinear semidefinite programming 55 28-12 Zoltan Adam Milacski Robust Segmentation Based Anomaly Detection 190 28-13 Stefano Marano A STATE-SPACE APPROACH FOR THE ANALYSIS OF WAVE AND DIFFUSION FIELDS 65 28-14 Tony TUNG spotlightLearning the Human Body Shape70 28-15 Natalia Efremova Neurophysiologically plausible model of human mirror neuron system 200 28-16 Alberto Viseras Ruiz Efficient Exploration of Complex, Unknown Environments with Safety Constraints 463 28-17 JeongHun Baek Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network 80 28-18 Shi Zhao Towards understanding web queries with knowledge-graph enriched intent topic representations 338 28-19 Sifan Chen A batch face recognition system 483 28-20 hosnieh sattar Prediction of Search Targets From Fixations in Open-World Settings 342 28-21 Cedric Malherbe Global Optimization with Active Learning 346 28-22 Jorge Copete Multimodal Integration Using Deep Autoencoder: Visuomotor Correspondence Learning in Human-Robot Interaction. 219 28-23 Ryo Karakida spotlightIdentifying Feature Components Extracted by Contrastive Divergence Learning in Gaussian RBMs479 28-24 Christian Hammerschmidt Learning Timed Probabilistic Automatons in Streams under Adversarial Influence for Applications in Authentication 464 28-25 Takafumi YANO MEG Inverse Problem and Information Criterion 227 28-26 Christophe DUPUY Review Prediction Using Topic Models 360 28-28 Gregor Gebhardt Embedding Kalman Filters into Reproducing Kernel Hilbert Spaces 365 28-29 Ricardo Fonseca Prediction of nutritional deficiencies in maize plants from optical properties using spectral signature 238 28-30 Dmitrii Ostrovskii Near-optimal signal recovery by convex optimization 370 28-31 Sandhya Tripathi Some equilibrium prediction problems in M/M/1 queues. 117 28-32 Thomas Brouwer spotlightLatent variable model with Bayesian learning for drug repositioning375 28-33 Igor dos Santos Montagner Learning image transformations to process music scores 251 28-34 Yutaro Shigeto Analyzing the Hubness Phenomenon in Zero-shot learning -
ID Poster ID Author Title 257 1-1 Akifumi Okuno Robust cross-domain matching: Analyzing multi-domain data vectors under mismatched associations 133 1-2 Thomas Moreau spotlightConvolutional Dictionary Learning with Temporal Regularization51 1-3 Ghazal Ghazaei Artificial Vision for Artificial Hands (AVAH) 8 1-4 Junpei Komiyama spotlightAn Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays148 1-5 Abdullah Khamis Gene Expression Data Analysis Using Machine Learning Techniques 24 1-6 Vikrant Yadav Automatic Generation of Wikipedia Articles 25 1-7 Marthinus Christoffel (Christo) du Plessis Learning from Positive and Unlabeled Data 538 1-8 Hsin-Yuan Huang spotlightAutomatic Machine Learning by Linear and Kernel Classifiers52 1-9 Weihua Hu Academic Information Retrieval 29 1-10 Elena Shirokova Automatic Library Classification for Scientific Articles 543 1-11 Mu-Chu Lee A note on choosing optimization methods for linear SVMs under distributed environment 34 1-12 Felipe Yanez Primal-Dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence 421 1-13 Masaru Ito Optimal subgradient-based methods for convex optimization problems with special structure 422 1-14 Kazuya Nakagawa Efficient combinatorial interaction detection by using safe screening approaches 46 1-15 Cem Orhan Active Learning by Statistical Leverage Sampling (Cem Orhan and Oznur Tastan) 434 1-16 Yukihiro Togari spotlightA proximal gradient method with componentwise lazy evaluation for online optimization435 1-17 Takeru Miyato Which to use dropout or dropconnect in Multi-label Learning? 436 1-18 Peter Udo Diehl Fast-Classifying, High-Accuracy Spiking Deep Networks Through Weight and Threshold Balancing 308 1-19 Maksym Andriushchenko Data analysis in social games 519 1-20 Sotetsu Koyamada Principal Sensitivity Analysis 415 1-21 Shinya Suzumura An exact post selection inference for combinatorial genomic interactions 458 1-22 Christopher Schymura Binaural Sound Source Localisation using a Bayesian-network-based Blackboard System and Hypothesis-driven Feedback 205 1-23 David Heryanto Incremental learning of neural network with knowledge distillation 466 1-24 Nir Rosenfeld Discriminative Learning of Infection Models 468 1-25 Moritz Gerlach spotlightSpectral Convergence of Empirical Graph Laplacians57 1-26 Zipei Fan A Spectral Approach to Human Mobility Modeling 476 1-27 Takoua Jendoubi Bayesian Nonparametric method for metabolomics data fusion 351 1-28 Daniele Calandriello Large scale Semi-Supervised Learning with On-Line Graph Sparsification (tentative) 484 1-29 Richard Lewis Quantitative Structure-Activity Prediction (QSAR): Predicting the anticancer activity of compound given only its structure 508 1-30 Mohamed Abdalmoaty Model selection in system identification 366 1-31 Kenshi Uchihashi machine learning approach: connectomics 500 1-32 Dan Assouline Machine Learning for Large Scale Rooftop Photovoltaic Potential - Swiss case. 119 1-33 Haotian Zhang A Comaprision of Different Face Recognition Algorithms 124 1-34 Hiroshi Kajino Active Learning for Multi-relational Data Construction 382 1-35 Joe Suzuki A Bayesian Mutual Information Estimator and its Application to Independence Testing -
ID Poster ID Author Title 128 3-1 Jawad Tayyub Qualitative and Quantitative Spatio-Temporal Relations in Daily Living Activity Recognition 261 3-2 Mario Michael Krell Generalizing, Decoding, and Optimizing Support Vector Machine Classification 134 3-3 Amit Moscovich-Eiger spotlightFast calculation of boundary crossing probabilities for Poisson processes172 3-4 Voot Tangkaratt Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Dimension Reduction 522 3-5 Bartosz Krawczyk Mining Massive and Streaming Multi-Class Data with Ensembles of One-Class Classifiers 395 3-6 Kodai Ueyoshi FPGA-oriented massively parallel, scalable, and reconfigurable architectures for Restricted Boltzmann Machines towards deep learning systems 270 3-7 Kota Itoda Causality Analysis of Group Behavior in Goal-type Ball Game 401 3-8 Riki Eto Causal Piecewise Sparse Linear Models 533 3-9 Zenna Tavares Abstract Metropolized Independent Sampling in Highly Constrained Probabilistic Programs 535 3-10 Anthony DeCostanzo Random projections applied to modeling of neuronal turnover in the brain 152 3-11 Brian Cheung Exploring Deep Space: Discovering Factors of Variation Learned in Deep Networks 537 3-12 Volodymyr Kuleshov Statistical methods in genome phasing 411 3-13 Yung-Kyun Noh Nearest Neighbor Methods with Generative Metric 290 3-14 Aqsa Shabbir Machine learning in probability spaces for control and optimization in nuclear fusion plasmas 295 3-15 Stefano Martiniani A new method for computing the volume of high dimensional manifolds: application to the basins of attraction of jammed soft spheres packings 44 3-16 Luca Celotti Herranz why to active sense, and how 175 3-17 Jiuding Duan learning features for material informatics 305 3-18 Ehsan Imani Multi-Modal Distance Metric learning Based on Stacked Auto-Encoders 306 3-19 Ashish Arora ReCAPTCHA assisted OCR for Devanagari Texts 58 3-20 Reza Babanezhad Harikandeh Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields 450 3-21 Ryo Iwaki Minimizing the Variance of Actor's Update Rule by Using Eligibility Trace in Critic's Learning 325 3-22 Song Liu Learning Structure of Partial Markov Random Field via Partitioned Ratio 198 3-23 Matthew Graham Sub-space Hamiltonian Monte Carlo with a unimodal Boltzmann machine relaxation 77 3-24 Caner Hazirbas Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation 335 3-25 Meriem El Azami spotlightDetection of epilepsy lesions as an outlier detection problem212 3-26 Akshay Srinivasan spotlightGraphical Newton220 3-27 Marcello Rambaldi spotlightModelling market activity around macroeconomic news: a Hawkes-process approach221 3-28 Esther Alberts A Nonparametric Model for Estimating Tumor Growth in Longitudinal Image Sequences 357 3-29 Fajwel Fogel SerialRank: spectral ranking using seriation 106 3-30 Yasmin Fathy Large-Scale Discovery and Ranking for the Internet of Things (IoT) Data and Services 492 3-31 Sergey Paramonov Logic Programming for Data Mining 367 3-32 Nicolas Flammarion From Averaging to Acceleration, There is Only a Step-size 112 3-33 Joao Martins Augmented Human Assistance 118 3-34 Simon Manschitz Probabilistic Progress Prediction and Sequencing of Concurrent Movement Primitives 362 3-35 Massimo Silvetti Reward value and prediction error in human medial frontal cortex: a model-based fMRI study
