[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group ANR 124
May 7, 2019

Paper Group ANR 124

Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets. What to do about non-standard (or non-canonical) language in NLP. Churn analysis using deep convolutional neural networks and autoencoders. Prediction of Seasonal Temperature Using Soft Computing Techniques: Application in Benevento (Southern Italy) Area. lpopt: A …

Paper Group ANR 125

Paper Group ANR 125

May 7, 2019

Blind Deconvolution of PET Images using Anatomical Priors. Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing. Robust nonparametric nearest neighbor random process clustering. Similarity Learning for Time Series Classification. PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning. Multiple Instanc …
Paper Group ANR 126

Paper Group ANR 126

May 7, 2019

ARTiS: Appearance-based Action Recognition in Task Space for Real-Time Human-Robot Collaboration. Graded Entailment for Compositional Distributional Semantics. Learning Crosslingual Word Embeddings without Bilingual Corpora. Generating machine-executable plans from end-user’s natural-language instructions. A Nonparametric Bayesian Approach for Spok …
Paper Group ANR 127

Paper Group ANR 127

May 7, 2019

Fuzzy Statistical Matrices for Cell Classification. Scene Labeling using Gated Recurrent Units with Explicit Long Range Conditioning. Leveraging Unstructured Data to Detect Emerging Reliability Issues. Scalable Approximations for Generalized Linear Problems. Bibliographic Analysis with the Citation Network Topic Model. Towards Neural Knowledge DNA. …
Paper Group ANR 128

Paper Group ANR 128

May 7, 2019

A new cut-based genetic algorithm for graph partitioning applied to cell formation. JU_KS_Group@FIRE 2016: Consumer Health Information Search. Joint Hand Detection and Rotation Estimation by Using CNN. Reconstructing undirected graphs from eigenspaces. Multimodal Affect Recognition using Kinect. Recursive Decomposition for Nonconvex Optimization. H …
Paper Group ANR 129

Paper Group ANR 129

May 7, 2019

Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion. A PAC RL Algorithm for Episodic POMDPs. Geometric Hypergraph Learning for Visual Tracking. A Universal Update-pacing Framework For Visual Tracking. Forward Stagewise Additive Model for Collaborative Multiview Boosting. PAC-Bayesian Analysis for a two-step …
Paper Group ANR 13

Paper Group ANR 13

May 7, 2019

Decentralized Clustering and Linking by Networked Agents. A Locally Adaptive Normal Distribution. On the prediction loss of the lasso in the partially labeled setting. Determining Health Utilities through Data Mining of Social Media. On the exact learnability of graph parameters: The case of partition functions. A Binary Convolutional Encoder-decod …
Paper Group ANR 130

Paper Group ANR 130

May 7, 2019

Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases. Very Simple Classifier: a Concept Binary Classifier toInvestigate Features Based on Subsampling and Localility. Scale Normalization. Stride Length Estimation with Deep Learning. B-spline Shape from Motion & Shading: An Automatic Free-form Surface Modeling f …
Paper Group ANR 131

Paper Group ANR 131

May 7, 2019

Hierarchical Memory Networks. Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. Ask the GRU: Multi-Task Learning for Deep Text Recommendations. A Machine Learning Nowcasting Method based on Real-time Reanalysis Data. Environmental Noise Embeddings for Robust Speech Recognition. DeepSoft: A vision for a deep model of softwa …
Paper Group ANR 132

Paper Group ANR 132

May 7, 2019

Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding. Visible Light-Based Human Visual System Conceptual Model. Image-based Vehicle Analysis using Deep Neural Network: A Systematic Study. Non-Parametric Cluster Significance Testing with Reference to a Unimodal Null Distribution. Convolutional Neural Fabrics. Mapping c …
Paper Group ANR 133

Paper Group ANR 133

May 7, 2019

Beyond Spatial Auto-Regressive Models: Predicting Housing Prices with Satellite Imagery. Self-Wiring Question Answering Systems. Flexible constrained sampling with guarantees for pattern mining. Hierarchy of Groups Evaluation Using Different F-score Variants. Low-Rank Representation over the Manifold of Curves. A Discriminative Framework for Anomal …
Paper Group ANR 134

Paper Group ANR 134

May 7, 2019

Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking. Efficient forward propagation of time-sequences in convolutional neural networks using Deep Shifting. Flow of Information in Feed-Forward Deep Neural Networks. A Unified View of Localized Kernel Learning. A Novel Fault Classification Scheme Based …
Paper Group ANR 135

Paper Group ANR 135

May 7, 2019

The “Horse’’ Inside: Seeking Causes Behind the Behaviours of Music Content Analysis Systems. Development of a Fuzzy Expert System based Liveliness Detection Scheme for Biometric Authentication. Stacking for machine learning redshifts applied to SDSS galaxies. Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. …
Paper Group ANR 136

Paper Group ANR 136

May 7, 2019

Bounded Optimal Exploration in MDP. Improved Multi-Class Cost-Sensitive Boosting via Estimation of the Minimum-Risk Class. Improved Particle Filters for Vehicle Localisation. Using Machine Learning to Decide When to Precondition Cylindrical Algebraic Decomposition With Groebner Bases. Loss Bounds and Time Complexity for Speed Priors. New Liftable C …
Paper Group ANR 137

Paper Group ANR 137

May 7, 2019

POMDP-lite for Robust Robot Planning under Uncertainty. Deepr: A Convolutional Net for Medical Records. Extending Weakly-Sticky Datalog+/-: Query-Answering Tractability and Optimizations. Exact Structure Learning of Bayesian Networks by Optimal Path Extension. Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach. …
Paper Group ANR 138

Paper Group ANR 138

May 7, 2019

Neural networks for the prediction organic chemistry reactions. And the Winner is …: Bayesian Twitter-based Prediction on 2016 U.S. Presidential Election. Detecting Breast Cancer using a Compressive Sensing Unmixing Algorithm. Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks. Lensless Imaging with Compressive Ultrafa …
Paper Group ANR 139

Paper Group ANR 139

May 7, 2019

WASSUP? LOL : Characterizing Out-of-Vocabulary Words in Twitter. Image Classification of Grapevine Buds using Scale-Invariant Features Transform, Bag of Features and Support Vector Machines. Information Theoretically Aided Reinforcement Learning for Embodied Agents. A Probabilistic Machine Learning Approach to Detect Industrial Plant Faults. Study …
Paper Group ANR 14

Paper Group ANR 14

May 7, 2019

Preference at First Sight. Fast model selection by limiting SVM training times. Bayesian generalized fused lasso modeling via NEG distribution. Deformably Registering and Annotating Whole CLARITY Brains to an Atlas via Masked LDDMM. Linguistically Regularized LSTMs for Sentiment Classification. Sequential Person Recognition in Photo Albums with a R …
Paper Group ANR 140

Paper Group ANR 140

May 7, 2019

Optimized Kernel Entropy Components. An extended MABAC for multi-attribute decision making using trapezoidal interval type-2 fuzzy numbers. Gaussian Attention Model and Its Application to Knowledge Base Embedding and Question Answering. Is a good offensive always the best defense?. Good Practice in CNN Feature Transfer. A Hierarchical Emotion Regul …
Paper Group ANR 141

Paper Group ANR 141

May 7, 2019

A Large Scale Corpus of Gulf Arabic. A survey of sparse representation: algorithms and applications. Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks. metricDTW: local distance metric learning in Dynamic Time Warping. The high-conductance state enables neural sampling in networks of LIF neuron …
Paper Group ANR 142

Paper Group ANR 142

May 7, 2019

Semi-supervised Kernel Metric Learning Using Relative Comparisons. A MIP Backend for the IDP System. A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information. Small coherence implies the weak Null Space Property. Anytime Inference in Valuation Algebras. Stochastic Averaging for Constrained Optimization wit …
Paper Group ANR 143

Paper Group ANR 143

May 7, 2019

The Complexity of Bayesian Networks Specified by Propositional and Relational Languages. Engineering Safety in Machine Learning. Accelerated Gradient Temporal Difference Learning. Poisson Random Fields for Dynamic Feature Models. Hitting times of local and global optima in genetic algorithms with very high selection pressure. Recovering Multiple No …
Paper Group ANR 144

Paper Group ANR 144

May 7, 2019

Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification. Learning Shapes by Convex Composition. An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning. On-line Bayesian System Identification. A metric for sets of trajectories that is practical and mathematically consistent. No …
Paper Group ANR 145

Paper Group ANR 145

May 7, 2019

DESPOT: Online POMDP Planning with Regularization. Rough Set Based Color Channel Selection. A penalized likelihood method for classification with matrix-valued predictors. Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration. Collaborative prediction with expert advice. Quantifier Scope in Categorical Compositional …
Paper Group ANR 146

Paper Group ANR 146

May 7, 2019

A strengthening of rational closure in DLs: reasoning about multiple aspects. Generative Adversarial Nets from a Density Ratio Estimation Perspective. Parametric Exponential Linear Unit for Deep Convolutional Neural Networks. Deeply Aggregated Alternating Minimization for Image Restoration. Pose from Action: Unsupervised Learning of Pose Features b …
Paper Group ANR 147

Paper Group ANR 147

May 7, 2019

Summarizing Situational and Topical Information During Crises. Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions. Finding Optimal Combination of Kernels using Genetic Programming. Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. Introducing a Calculus of Effects and Handlers for Natur …
Paper Group ANR 148

Paper Group ANR 148

May 7, 2019

Extrapolation and learning equations. Creativity in Machine Learning. Ways of Conditioning Generative Adversarial Networks. A knowledge representation meta-model for rule-based modelling of signalling networks. Continuously Learning Neural Dialogue Management. Testing Quantum Models of Conjunction Fallacy on the World Wide Web. Large Scale Behavior …
Paper Group ANR 149

Paper Group ANR 149

May 7, 2019

Using Neural Generative Models to Release Synthetic Twitter Corpora with Reduced Stylometric Identifiability of Users. Hierarchical Boundary-Aware Neural Encoder for Video Captioning. Spectral Convolution Networks. Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Ta …