MLSS 2015 Kyoto
  • 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
    spotlight
    Proximal incremental majorization-minimization optimization method
    193 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
    spotlight
    Neural link between Obsessive-compulsive disorder and delay discounting
    454 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
    spotlight
    Cancer stratification from mutation profiles using gene networks
    83 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
    spotlight
    Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets
    232 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
    spotlight
    High Dimensional Surfaces and Optimization
    494 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
    411 27-1 Yung-Kyun Noh Nearest Neighbor Methods with Generative Metric
    258 27-2 Kacper Chwialkowski Fast Two Sample Tests using Smooth Random Features
    5 27-3 Robin Swezey
    spotlight
    Recommending Short-Lived Dynamic Packages for Golf Booking Services
    278 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
    281 27-9 Irina Korotkova Mirror neuron model for gesture recognition
    534 27-10 Ilaria Giulini
    spotlight
    A PAC-Bayesian approach to principal component analysis in high dimension
    153 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
    spotlight
    Replica Symmetric Bound for Restricted Isometry Constant
    461 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
    spotlight
    Statistical-mechanical analysis of pre-training and fine tuning in deep learning
    402 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
    spotlight
    Learning the Human Body Shape
    70 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
    349 28-19 Viktoriia Oliinyk Methods for Link Prediction Adopted from the Social Choice Theory
    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
    spotlight
    Identifying Feature Components Extracted by Contrastive Divergence Learning in Gaussian RBMs
    479 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
    spotlight
    Latent variable model with Bayesian learning for drug repositioning
    375 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
    spotlight
    Convolutional Dictionary Learning with Temporal Regularization
    51 1-3 Ghazal Ghazaei Artificial Vision for Artificial Hands (AVAH)
    8 1-4 Junpei Komiyama
    spotlight
    Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem
    148 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
    spotlight
    Automatic Machine Learning by Linear and Kernel Classifiers
    52 1-9 Weihua Hu Academic Information Retrieval
    29 1-10 Elena Shirokova Automatic Library Classification for Scientific Articles
    543 1-11 Mu-Chu Lee Fast Matrix-vector multiplication for Large-scale Logistic Regression on Shared-memory System
    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
    spotlight
    A proximal gradient method with componentwise lazy evaluation for online optimization
    435 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
    spotlight
    Spectral Convergence of Empirical Graph Laplacians
    57 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
    spotlight
    Fast calculation of boundary crossing probabilities for Poisson processes
    172 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
    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 Automating the Quantum Energy Prediction using Bayesian Optimization
    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 FlowNet: Learning Optical Flow with Convolutional Networks
    335 3-25 Meriem El Azami
    spotlight
    Detection of epilepsy lesions as an outlier detection problem
    212 3-26 Akshay Srinivasan
    spotlight
    Graphical Newton
    220 3-27 Marcello Rambaldi
    spotlight
    Modelling market activity around macroeconomic news: a Hawkes-process approach
    221 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
8/26
  • 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,(spotlight),Proximal incremental majorization-minimization optimization method
  • 193,26-14,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,(spotlight),Neural link between Obsessive-compulsive disorder and delay discounting
  • 454,26-17,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,(spotlight),Cancer stratification from mutation profiles using gene networks
  • 83,26-20,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,(spotlight),Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets
  • 232,26-25,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,(spotlight),High Dimensional Surfaces and Optimization
  • 494,26-28,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
8/27
  • 411,27-1,Yung-Kyun Noh, Nearest Neighbor Methods with Generative Metric
  • 258,27-2,Kacper Chwialkowski,Fast Two Sample Tests using Smooth Random Features
  • 5,27-3,Robin Swezey,(spotlight),Recommending Short-Lived Dynamic Packages for Golf Booking Services
  • 278,27-4,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
  • 281,27-9,Irina Korotkova,Mirror neuron model for gesture recognition
  • 534,27-10,Ilaria Giulini,(spotlight),A PAC-Bayesian approach to principal component analysis in high dimension
  • 153,27-11,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,(spotlight),Replica Symmetric Bound for Restricted Isometry Constant
  • 461,27-22,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
8/28
  • 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,(spotlight),Statistical-mechanical analysis of pre-training and fine tuning in deep learning
  • 402,28-4,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,(spotlight),Learning the Human Body Shape
  • 70,28-15,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
  • 349,28-19,Viktoriia Oliinyk,Methods for Link Prediction Adopted from the Social Choice Theory
  • 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,(spotlight),Identifying Feature Components Extracted by Contrastive Divergence Learning in Gaussian RBMs
  • 479,28-24,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,(spotlight),Latent variable model with Bayesian learning for drug repositioning
  • 375,28-33,Igor dos Santos Montagner,Learning image transformations to process music scores
  • 251,28-34,Yutaro Shigeto,Analyzing the Hubness Phenomenon in Zero-shot learning
9/1
  • 257,1-1,Akifumi Okuno,Robust cross-domain matching: Analyzing multi-domain data vectors under mismatched associations
  • 133,1-2,Thomas Moreau,(spotlight),Convolutional Dictionary Learning with Temporal Regularization
  • 51,1-3,Ghazal Ghazaei,Artificial Vision for Artificial Hands (AVAH)
  • 8,1-4,Junpei Komiyama,(spotlight),Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem
  • 148,1-5,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,(spotlight),Automatic Machine Learning by Linear and Kernel Classifiers
  • 52,1-9,Weihua Hu,Academic Information Retrieval
  • 29,1-10,Elena Shirokova,Automatic Library Classification for Scientific Articles
  • 543,1-11,Mu-Chu Lee,Fast Matrix-vector multiplication for Large-scale Logistic Regression on Shared-memory System
  • 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,(spotlight),A proximal gradient method with componentwise lazy evaluation for online optimization
  • 435,1-17,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,(spotlight),Spectral Convergence of Empirical Graph Laplacians
  • 57,1-26,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
9/3
  • 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,(spotlight),Fast calculation of boundary crossing probabilities for Poisson processes
  • 172,3-4,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
  • 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,Automating the Quantum Energy Prediction using Bayesian Optimization
  • 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,FlowNet: Learning Optical Flow with Convolutional Networks
  • 335,3-25,Meriem El Azami,(spotlight),Detection of epilepsy lesions as an outlier detection problem
  • 212,3-26,Akshay Srinivasan,(spotlight),Graphical Newton
  • 220,3-27,Marcello Rambaldi,(spotlight),Modelling market activity around macroeconomic news: a Hawkes-process approach
  • 221,3-28,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