Computer science and artificial intelligence

Software engineering and algorithms in intelligent systems : proceedings of 7th computer science on-line conference 2018

Artificial Intelligence Trends in Intelligent Systems Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Vol 1

Transactions on Engineering Technologies World Congress on Engineering and Computer Science 2015

Software Engineering Trends and Techniques in Intelligent Systems Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Vol 3

Cybernetics and Mathematics Applications in Intelligent Systems Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Vol 2

Advances in Intelligent Systems and Computing Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6-10 Lviv, Ukraine

Conceptual information processing

Problem solving : methods, programming, and future concepts

An artificial intelligence approach to VLSI design

Artificial intelligence approaches, tools and applications

Symbolic logic and mechanical theorem proving

Machine Learning Based User Modeling for Enterprise Security and Privacy Risk Mitigation

Complexity in Coevolution and Deep Learning

Real-Time Image Editing and iOS Application with Convolutional Networks

Learning Perceptual Similarity from Crowds and Machines

Provable and Practical Algorithms for Non-Convex Problems in Machine Learning

Toward Automated Sketching Collaborators: An Analogical Route

Discovering and Exploiting Structure for Gaussian Processes

Joint-Stochastic Spectral Inference for Robust Co-Occurrence Modeling and Latent Topic Analysis

Capabilities of Robotics Applications in Clinical Rehabilitation and Behavioral Control

Contributions to Machine Learning in Biomedical Informatics

System for Serving Deep Neural Networks Efficiently

Domain Invariant and Semantic Aware Visual Servoing

Deep Learning Methods for Mining Genomic Sequence Patterns

Learning to Navigate in Visual Environments

Online MindReader Game Utilizing Weighted Hedging Trees

Causal Reasoning and Machine Learning Models for Cellular Regulatory Mechanisms

Semi-Supervised Machine Learning for Network Intrusion Detection

A Study of Ensemble Learning with AdaBoost and NEAT

Real Time Zika Virus Detection System with Unknown Symptoms and Visualization

Automatic Selection of MapReduce Machine Learning Algorithms: A Model Building Approach

Adaptation and Augmentation: Towards Better Rescoring Strategies for Automatic Speech Recognition and Spoken Term Detection

Enhancement of Deep Neural Networks and Their Application to Text Mining

Domain-Specific Knowledge Exploration with Ontology Hierarchical Re-ranking and Adaptive Learning and Extension

Compressed Deep Supervision and Residual Learning Network for Scene Recognition

Orchestrating Dynamic Deep Learning for Skin Cancer Classification on Mobile Systems

Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment

Fine Tuning Image Input Sets for Deep Neural Networks Using Hallucinations

Design and Implementation of a Domain Specific Language for Deep Learning

From Motor Control to Scene Perception: Using Machine Learning to Model Human Behavior and Cognition

Comprehensive Always-on Sensing (CAS) Platform for Mobile Contextual Awareness

Bounty Hunting: A Dynamic Multiagent Task Allocation Mechanism

Application of Machine Learning: An Analysis of Asian Options Pricing Using Neural Network

Automated Runtime Data Analysis for System Reliability Management

Learning Hierarchical Abstractions from Human Demonstrations for Application-Scale Domains

Communicating Plans in Ad Hoc Multiagent Teams

Learning to Generate Individual Sequence Data from Population Statistics Using Dynamic Bayesian Networks

Collaborative Context-Aware Visual Question Answering

Trajectory-based Human Action Recognition

Using High-Order Prior Belief Predictions in Hierarchical Temporal Memory for Streaming Anomaly Detection

Acquiring Diverse Robot Skills via Maximum Entropy Deep Reinforcement Learning

A Study of Interpretability Mechanisms for Deep Networks

Augmented Translation Models for Sequential Recommendation

Learning to Measure: Distance Metric Learning with Structured Sparsity

In-material Processing of High Bandwidth Sensor Measurements using Modular Neural Networks

Modeling User Behavior on Smartphones

Anytime Approximate Inference in Graphical Models

Attentional ShapeContextNet for Point Cloud Recognition

An Ontological Approach and a Meta-Algorithm for Data and Machine Learning Algorithms Analysis and Classification with Application in the Medical Domain

Towards Prediction of Emerging Technologies

Deep Learning and Localized Features Fusion for Medical Image Classification

Behavioral Health Stigma: Breaking the Code with Stigma Index

An Evaluation of Unsupervised Machine Learning Algorithms for Detecting Fraud and Abuse in the U.S. Medicare Insurance Program

Multi-Objective Pathfinding in Dynamic Environments

Finding the Components of the Primary Language Focusing on the Algorithm of Discovery

Discovering and Harnessing Structures in Solving Application Satisfiability Instances

Exploit Grammar Induction on Pattern and Structure Discovery

Combining Machine Learning with Computer Vision for Precision Agriculture Applications

A Fall Prevention System for the Elderly and Visually Impaired

fastText quick start guide : get started with Facebook's library for text representation and classification

Artificial Intelligence and Soft Computing : 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part I

Applying Machine Learning Methods to Electronic Health Records: Studies in Risk-Stratification of Chronic Kidney Disease and Hypertrophic Cardiomyopathy

An Investigation into the Use of Esperanto as an Intermediate Language in a Machine Translation Project

Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing

Thinking computers and virtual persons : essays on the intentionality of machines

Affective Intelligence in Built Environments

Reverse Engineering the Mind Consciously Acting Machines and Accelerated Evolution

Higher-order Random Walk Methods for Data Analysis

Fog Computing Based IoT Applications and Their Performance

Novelty Detection of Machinery Using a Non-parametric Machine Learning Approach

Advances in Knowledge Discovery and Management Volume 6

Monitoring and Information Alignment in Pursuit of an IoT-Enabled Self-Sustainable Interoperability

Modelling naturalistic decision making using neural networks

Inspecting and Directing Neural Language Models

An Integrated Framework for Modeling and Predicting Spatiotemporal Phenomena in Urban Environments

Computational architectures integrating neural and symbolic processes

Cognitive computing and big data analytics

Focus on artificial neural networks

Brain-mind machinery brain-inspired computing and mind opening

Smart environments technologies, protocols, and applications

Knowledge representation, reasoning, and declarative problem solving

Statistical mechanics of learning

Smart machines : IBM's Watson and the era of cognitive computing

A class of algorithms for distributed constraint optimization

TREAT : a new and efficient match algorithm for AI production systems

Deep Learning and Structured Data

Natural and artificial intelligence : misconceptions about brains and neural networks

Computer Vision and Deep Learning with Applications to Object Detection, Segmentation, and Document Analysis

Deep learning in natural language processing

Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling

Finite-state methods and natural language processing post-proceedings of the 7th International Workshop FSMNLP ; edited by Jakub Piskorski, Bruce Watson and Anssi Yli-Jyrä.