Papers

600 records — page 3 of 3

• A Wavelet Tour of Signal Processing
• A Tutorial on Support Vector Machines for Pattern Recognition
• A Fast Learning Algorithm for Deep Belief Nets
• Bagging predictors
• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• Advances in Neural Information Processing Systems 19
• A new optimizer using particle swarm theory
• Advances in Neural Information Processing Systems 28
• Advances in neural information processing systems 7
• Learning the parts of objects by non-negative matrix factorization
• Distilling the Knowledge in a Neural Network
• Approximation by superpositions of a sigmoidal function
• Advances in Neural Information Processing Systems 29
• Extreme learning machine: Theory and applications
• A tutorial on support vector regression
• Representation Learning: A Review and New Perspectives
• Elements of Information Theory
• The Elements of Statistical Learning: Data Mining, Inference, and Prediction
• Understanding the difficulty of training deep feedforward neural networks
• Squeeze-and-Excitation Networks
• Neural Networks for Pattern Recognition
• Backpropagation Applied to Handwritten Zip Code Recognition
• The perceptron: A probabilistic model for information storage and organization in the brain.
• A training algorithm for optimal margin classifiers
• Fundamentals of Statistical Signal Processing: Estimation Theory
• Introduction to Statistical Pattern Recognition
• Automatic differentiation in PyTorch
• SExtractor: Software for source extraction
• Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
• The Nature of Statistical Learning Theory
• UCI Repository of machine learning databases
• Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
• Gaussian Processes for Machine Learning
• Self-Organizing Maps
• Bidirectional recurrent neural networks
• Pattern Recognition and Machine Learning
• Learning with Kernels
• Self-organized formation of topologically correct feature maps
• The Graph Neural Network Model
• Least Squares Support Vector Machine Classifiers
• Multilayer feedforward networks are universal approximators
• An Information-Maximization Approach to Blind Separation and Blind Deconvolution
• Advances in Neural Information Processing Systems 14
• Deep Learning
• Extremely randomized trees
• Independent component analysis: algorithms and applications
• Reinforcement Learning: An Introduction
• Learning long-term dependencies with gradient descent is difficult
• Pattern Recognition and Machine Learning
• Pattern Recognition and Machine Learning (Information Science and Statistics)
• Generalized Additive Models.
• Probability, Random Variables, and Stochastic Processes
• Independent component analysis, A new concept?
• The self-organizing map
• Multivariate Adaptive Regression Splines
• Independent Component Analysis
• Identification and control of dynamical systems using neural networks
• Ensemble Methods in Machine Learning
• Fundamentals of statistical signal processing: Estimation theory
• An introduction to computing with neural nets
• An introduction to variable and feature selection
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Training feedforward networks with the Marquardt algorithm
• Generalized Additive Models.
• Stacked generalization
• Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis
• Overcoming catastrophic forgetting in neural networks
• Neural networks: A comprehensive foundation
• Digital image processing using MATLAB
• Fundamentals of digital image processing
• Neurons with graded response have collective computational properties like those of two-state neurons.
• Computation and interpretation of biological statistics of fish populations
• Feature Selection with the<b>Boruta</b>Package
• A General Coefficient of Similarity and Some of Its Properties
• Dimensionality Reduction by Learning an Invariant Mapping
• Efficient Behavior of Small-World Networks
• Neural network design
• A survey on feature selection methods
• Cluster Analysis for Applications
• Convolutional Neural Networks On Graphs With Fast Localized Spectral Filtering (Nips'16 Poster)
• A Practical Guide to Support Vector Classication
• Adaptive Mixtures of Local Experts
• Information Theory, Inference, and Learning Algorithms
• Curriculum learning
• Training Products of Experts by Minimizing Contrastive Divergence
• Independent Component Analysis
• Artificial neural networks: a tutorial
• Backpropagation through time: what it does and how to do it
• Discrete-time Signal Processing
• Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
• Spectral Analysis and Time Series
• A theory of cortical responses
• Extrapolation, Interpolation, and Smoothing of Stationary Time Series
• Investigating Causal Relations by Econometric Models and Cross-Spectral Methods
• Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering
• Random variables and stochastic processes
• Pattern Recognition and Machine Learning
• Probability, random variables and stochastic processes
• Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
• Proceedings of the 21st International Conference on Neural Information Processing Systems
• A general regression neural network
• A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
• Bayesian Learning for Neural Networks
• Time series forecasting using a hybrid ARIMA and neural network model
• Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
• Introduction to Statistical Time Series
• Completely Derandomized Self-Adaptation in Evolution Strategies
• Neural network ensembles
• On the approximate realization of continuous mappings by neural networks
• Model Selection and Inference: A Practical Information-Theoretic Approach
• Fast Learning in Networks of Locally-Tuned Processing Units
• Support Vector Regression Machines
• Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
• Estimating mutual information
• Extreme learning machine: a new learning scheme of feedforward neural networks
• Time Series: Theory and Methods
• <i>Probability, Random Variables, and Stochastic Processes</i>
• Universal Approximation Using Radial-Basis-Function Networks
• A scaled conjugate gradient algorithm for fast supervised learning
• Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
• Understanding of a convolutional neural network
• Locality Preserving Projections
• The unscented Kalman filter for nonlinear estimation
• An overview of statistical learning theory
• A genetic algorithm tutorial
• Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection
• PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
• Immune Checkpoint Blockade in Cancer Therapy
• Nivolumab versus Docetaxel in Advanced Squamous-Cell Non–Small-Cell Lung Cancer
• Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma
• Safety and Activity of Anti–PD-L1 Antibody in Patients with Advanced Cancer
• Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
• Understanding the tumor immune microenvironment (TIME) for effective therapy
• Improved Survival with Vemurafenib in Melanoma with BRAF V600E Mutation
• Recombinant genomes which express chloramphenicol acetyltransferase in mammalian cells.
• Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade
• Pembrolizumab plus Chemotherapy in Metastatic Non–Small-Cell Lung Cancer
• Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome
• Pembrolizumab for the Treatment of Non–Small-Cell Lung Cancer
• Site-directed mutagenesis by overlap extension using the polymerase chain reaction
• The Immune Landscape of Cancer
• A revised European-American classification of lymphoid neoplasms: a proposal from the International Lymphoma Study Group [see comments]
• Safety, Activity, and Immune Correlates of Anti–PD-1 Antibody in Cancer
• Overall Survival with Combined Nivolumab and Ipilimumab in Advanced Melanoma
• Spatiotemporal Dynamics of Intratumoral Immune Cells Reveal the Immune Landscape in Human Cancer
• Molecular and Genetic Properties of Tumors Associated with Local Immune Cytolytic Activity
• Gut microbiome modulates response to anti–PD-1 immunotherapy in melanoma patients
• Ipilimumab plus Dacarbazine for Previously Untreated Metastatic Melanoma
• Tumor mutational load predicts survival after immunotherapy across multiple cancer types
• Pembrolizumab versus Ipilimumab in Advanced Melanoma
• Genetic Basis for Clinical Response to CTLA-4 Blockade in Melanoma
• Nivolumab plus Ipilimumab in Advanced Melanoma
• Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression
• Enhancement of Antitumor Immunity by CTLA-4 Blockade
• IFN-γ–related mRNA profile predicts clinical response to PD-1 blockade
• Atezolizumab for First-Line Treatment of Metastatic Nonsquamous NSCLC
• Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial
• Safety and Tumor Responses with Lambrolizumab (Anti–PD-1) in Melanoma
• Mutations Associated with Acquired Resistance to PD-1 Blockade in Melanoma
• Nivolumab plus Ipilimumab in Lung Cancer with a High Tumor Mutational Burden
• Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade
• The Three Es of Cancer Immunoediting
• Cancer immunoediting: from immunosurveillance to tumor escape
• Phase I Study of Single-Agent Anti–Programmed Death-1 (MDX-1106) in Refractory Solid Tumors: Safety, Clinical Activity, Pharmacodynamics, and Immunologic Correlates
• CD8+ T cells regulate tumour ferroptosis during cancer immunotherapy
• Nivolumab plus Ipilimumab in Advanced Non–Small-Cell Lung Cancer
• Overall Survival with Durvalumab after Chemoradiotherapy in Stage III NSCLC
• The immune contexture in human tumours: impact on clinical outcome
• Establishment in culture of pluripotential cells from mouse embryos
• B cells and tertiary lymphoid structures promote immunotherapy response
• Durvalumab after Chemoradiotherapy in Stage III Non–Small-Cell Lung Cancer
• Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab
• First-Line Nivolumab in Stage IV or Recurrent Non–Small-Cell Lung Cancer
• iRECIST: guidelines for response criteria for use in trials testing immunotherapeutics
• MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens
• Rapid and efficient site-specific mutagenesis without phenotypic selection.
• Fulminant Myocarditis with Combination Immune Checkpoint Blockade
• Survival, Durable Tumor Remission, and Long-Term Safety in Patients With Advanced Melanoma Receiving Nivolumab
• Survival in BRAF V600–Mutant Advanced Melanoma Treated with Vemurafenib
• Neoadjuvant PD-1 Blockade in Resectable Lung Cancer
• Mechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy
• Pembrolizumab alone or with chemotherapy versus cetuximab with chemotherapy for recurrent or metastatic squamous cell carcinoma of the head and neck (KEYNOTE-048): a randomised, open-label, phase 3 study
• Pembrolizumab versus Chemotherapy for PD-L1–Positive Non–Small-Cell Lung Cancer
• A Broad Host Range Mobilization System for In Vivo Genetic Engineering: Transposon Mutagenesis in Gram Negative Bacteria
• PD-1 blockade induces responses by inhibiting adaptive immune resistance
• Nivolumab in Previously Untreated Melanoma without <i>BRAF</i> Mutation
• Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
• Non–Small Cell Lung Cancer: Epidemiology, Screening, Diagnosis, and Treatment
• PD-L1 (B7-H1) and PD-1 pathway blockade for cancer therapy: Mechanisms, response biomarkers, and combinations
• Intraepithelial CD8 ⁺ tumor-infiltrating lymphocytes and a high CD8 ⁺ /regulatory T cell ratio are associated with favorable prognosis in ovarian cancer
• Nonlinear Dynamics and Chaos
• MicroRNAs: small RNAs with a big role in gene regulation
• ggplot2
• A random forest guided tour
• A direct adaptive method for faster backpropagation learning: the RPROP algorithm
• Stable Non-Gaussian Random Processes
• Variation of peak temperature with heating rate in differential thermal analysis
• Comprehensive analyses of tumor immunity: implications for cancer immunotherapy
• Regulation and Function of the PD-L1 Checkpoint
• Pooled Analysis of Long-Term Survival Data From Phase II and Phase III Trials of Ipilimumab in Unresectable or Metastatic Melanoma