%{search_type} search results

• Title page; Preface; Contents; Introduction: Aspects of Artificial General Intelligence; A Collection of Definitions of Intelligence; Four Contemporary AGI Designs: A Comparative Treatment; A Foundational Architecture for Artificial General Intelligence; A Working Hypothesis for General Intelligence; From NARS to a Thinking Machine; Adaptive Algorithmic Hybrids for Human-Level Artificial Intelligence; Cognitive Map Dimensions of the Human Value System Extracted from Natural Language; Program Evolution for General Intelligence.

Examines the creation of software programs displaying broad, deep, human-style general intelligence. This work features papers presented at the 2006 AGIRI (Artificial General Intelligence Research Institute) workshop, which illustrates that it is a fit and proper subject for serious science and engineering exploration.

• Knowledge Engineering.- Knowledge Representation and Reasoning under Uncertainty.- Multiagent Systems.- Game Theory and Economic Paradigms.- Game Playing and Interactive Entertainment.- Ambient Intelligence.- Machine Learning Applications.- Machine Learning Methods, Cognitive Modeling.- Cognitive Systems.- Planning and Scheduling.- Robotics.- Vision.- Natural Language Processing.- Human-Computer Interaction, AI in Education.- NLP and Knowledge Representation.- NLP and Machine Learning.- NLP and Text Mining.- Humans and AI.- Human-Aware AI.- General AI, Knowledge Engineering.- AI and the Web Applications.- Computational Sustainability and AI.- Heuristic Search and Optimization.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 16th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2018, held in Trujillo, Peru, in November 2018. The 41 papers presented were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections: Knowledge Engineering, Knowledge Representation and Reasoning under Uncertainty., Multiagent Systems., Game Theory and Economic Paradigms, Game Playing and Interactive Entertainment, Ambient Intelligence, Machine Learning Methods, Cognitive Modeling, General AI, Knowledge Engineering, Computational Sustainability and AI, Heuristic Search and Optimization and much more.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015, held in Albacete, Spain, in November 2015. The 31 revised full papers presented were carefully selected from 175 submissions. The papers are organized in topical sections on Bayesian networks and uncertainty modeling; fuzzy logic and soft computing; knowledge representation, reasoning, and logic; intelligent systems and environment; intelligent Web and recommender systems; machine learning and data mining; metaheuristics and evolutionary computation; and social robotics.

• Image and video
• Classification
• Clustering
• Multiagent Systems
• Machine Learning
• Applications
• Evolutionary and Genetic Algorithms
• Metaheuristics
• Optimization
• Fuzzy Logic: Foundations and applications.

This book constitutes the refereed proceedings of the 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, held in Salamanca, Spain, in September 2016. The 47 revised full papers presented were carefully selected from 166 submissions. Apart from the presentation of technical full papers, the scientific program of CAEPIA 2016 included an App contest, a Doctoral Consortium and, as a follow-up to the success achieved in previously CAEPIA editions, a special session on outstanding recent papers (Key Works) already published in renowned journals or forums.

• Artificial Intelligence.- Fuzzy Sets and Systems.- Evolutionary Algorithms.- Data Mining.- Applications.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, held in Granada, Spain, in October 2018. The 36 full papers presented were carefully selected from 240 submissions. The Conference of the Spanish Association of Artificial Intelligence (CAEPIA) is a biennial forum open to researchers from all over the world to present and discuss their latest scientific and technological advances in Antificial Intelligence (AI). Authors are kindly requested to submit unpublished original papers describing relevant research on AI issues from all points of view: formal, methodological, technical or applied.
(source: Nielsen Book Data)

• Session
• 1. Agents.- Modeling Role-Based Agent Team.- Distributed Collaborative Filtering for Robust Recommendations Against Shilling Attacks.- Competition and Coordination in Stochastic Games.- Multiagent-Based Dynamic Deployment Planning in RTLS-Enabled Automotive Shipment Yard.- R-FRTDP: A Real-Time DP Algorithm with Tight Bounds for a Stochastic Resource Allocation Problem.- A Reorganization Strategy to Build Fault-Tolerant Multi-Agent Systems.- Session
• 2. Bioinformatics.- A Multi-site Subcellular Localizer for Fungal Proteins.- Selecting Genotyping Oligo Probes Via Logical Analysis of Data.- Session
• 3. Classification.- Learning the Semantic Meaning of a Concept from the Web.- On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition.- A Novel Approach for Automatic Palmprint Recognition.- ICS: An Interactive Classification System.- Fast Most Similar Neighbor Classifier for Mixed Data.- Performance Measures in Classification of Human Communications.- Cost-Sensitive Decision Trees with Pre-pruning.- Probability Based Metrics for Locally Weighted Naive Bayes.- Recurrent Boosting for Classification of Natural and Synthetic Time-Series Data.- Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach.- Session
• 4. Constraint Satisfaction.- Managing Conditional and Composite CSPs.- Multiagent Constraint Satisfaction with Multiply Sectioned Constraint Networks.- Session
• 5. Data Mining.- A Clustering Algorithm Based on Adaptive Subcluster Merging.- Efficient Algorithms for Video Association Mining.- Distributed Data Mining in a Ubiquitous Healthcare Framework.- Constructing a User Preference Ontology for Anti-spam Mail Systems.- Question Answering Summarization of Multiple Biomedical Documents.- A Profit-Based Business Model for Evaluating Rule Interestingness.- Session
• 6. Knowledge Representation and Reasoning.- Reasoning About Operations on Sets.- Analytic Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation.- Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks.- Adding Local Constraints to Bayesian Networks.- On the Use of Possibilistic Bases for Local Computations in Product-Based Possibilistic Networks.- Reasoning with Conditional Preferences Across Attributes.- Path Propagation for Inference in Bayesian Networks.- Problem-Solving Knowledge Mining from Users' Actions in an Intelligent Tutoring System.- Incremental Neighborhood Graphs Construction for Multidimensional Databases Indexing.- Session
• 7. Learning.- Learning Network Topology from Simple Sensor Data.- Reinforcement Learning in Nonstationary Environment Navigation Tasks.- On the Stability and Bias-Variance Analysis of Kernel Matrix Learning.- Session
• 8. Natural Language.- Query-Based Summarization of Customer Reviews.- Multi-state Directed Acyclic Graphs.- Fuzzy Clustering for Topic Analysis and Summarization of Document Collections.- Creating a Fuzzy Believer to Model Human Newspaper Readers.- Rethinking the Semantics of Complex Nominals.- A Hybrid Approach to Improving Automatic Speech Recognition Via NLP.- Session
• 9. Planning.- Planning in Multiagent Expedition with Collaborative Design Networks.- Hierarchical Shortest Pathfinding Applied to Route-Planning for Wheelchair Users.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, held in Montreal, Canada, in May 2007. The 46 revised full papers cover agents, bioinformatics, classification, constraint satisfaction, data mining, knowledge representation and reasoning, learning, natural language, and planning.
(source: Nielsen Book Data)

• Actions and Behaviours
• Audio and Visual Recognition
• Natural Language Processing
• Reasoning and Learning
• Streams and Distributed Computing.

This book constitutes the refereed proceedings of the 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, held in Victoria, BC, Canada, in May/June 2016. The 12 full papers and 27 short papers presented were carefully reviewed and selected from 97 submissions. The focus of the conference was on the following subjects: actions and behaviours, audio and visual recognition, natural language processing, reasoning and learning, streams and distributed computing.

• Data Mining and Machine Learning.- Planning and Combinatorial Optimization.- AI Applications.- Natural Language Processing.- Uncertainty and Preference Reasoning.- Agent Systems.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 30th Canadian Conference on Artificial Intelligence, Canadian AI 2017, held in Edmonton, AB, Canada, in May 2017. The 19 regular papers and 24 short papers presented together with 6 Graduate Student Symposium papers were carefully reviewed and selected from 62 submissions. The focus of the conference was on the following subjects: Data Mining and Machine Learning; Planning and Combinatorial Optimization; AI Applications; Natural Language Processing; Uncertainty and Preference Reasoning; and Agent Systems.
(source: Nielsen Book Data)

• Compressing Bayesian Networks: Swarm-Based Descent, Efficiency, and Posterior Accuracy.- De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency.- A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits.- Synthesizing Controllers: On the Correspondence Between LTL Synthesis and Non-Deterministic Planning.- Logic-Based Benders Decomposition for Two-Stage Flexible Flow Shop Scheduling with Unrelated Parallel Machines.- Advice-Based Exploration in Model-Based Reinforcement Learning.- Deep Super Learner: A Deep Ensemble for Classification Problem.- One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data.- MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning.- Re-ranking Candidate Lists for Improved Lexical Induction.- Analysis of Social Media Posts for Early Detection of Mental Health Conditions.- Motor Bearing Fault diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal.- Mobile App for Detection of Counterfeit Banknotes.- A Multi-agent Framework for Understanding Addiction.- Infusing Domain Knowledge to Improve the Detection of Alzheimer's Disease from Everyday Motion Behavior.- An Incremental Machine Learning Algorithm for Nuclear Forensics.- MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models.- Constrained Bayesian Optimization for Problems with Piece-wise Smooth Constraints.- Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding.- Accelerated Gradient and Block-wise Gradient Methods for Big Data Factorization.- Learning Belief Revision Operators.- Solving Constraint Satisfaction Problems Using Firey Algorithms.- An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem.- Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal.- Prediction of Container Damage Insurance Claims for Optimized Maritime Port Operations.- Drug-Target Interaction Network Predictions for Drug Repurposing Using LASSO-based Regularized Linear Classification Model.- Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming.- Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings.- Text-based Detection of Unauthorized Users of Social Media Accounts.- N-gram Based Approach for Automatic Prediction of Essay Rubric Marks.- Matching Resumes to Job Descriptions with Stacked Models.- Towards a Comprehensive Evaluation of Recommenders: A Cognition-based Approach.- A Sentence-level Sparse Gamma Topic Model for Sentiment Analysis.- Topic Detection and document Similarity on Financial News.- Software Defect Prediction from Code Quality Measurements via Machine Learning.- Automated Scheduling: Reinforcement Learning Approach to Algorithm Policy Learning.- Estimating Vineyard Grape Yield from Images.- Real-time Deep Learning Pedestrians Classification on a Micro-controller.- A Unified Evaluation Framework for Recommender Systems.- Early Detection of Alzheimer's Disease Using Deep Learning.- Learning with Prior Domain Knowledge and Insufficient Annotated Data.- Predicting Crime Using Spatial Features.- A Tool for Defining and Simulating Storage Strategies on the Smart Grid.- Decision Assist for Self-Driving Cars.- Rule Mining and Prediction Using the Flek Machine
• A New Machine Learning Engine.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 31th Canadian Conference on Artificial Intelligence, Canadian AI 2018, held in Toronto, ON, Canada, in May 2018. The 16 regular papers and 18 short papers presented together with 7 Graduate Student Symposium papers and 4 Industry Track papers were carefully reviewed and selected from 72 submissions. The focus of the conference was on artificial intelligence research and advanced information and communications technology.
(source: Nielsen Book Data)

• Intro; Preface; Conference Organization; Contents
• Part II; Contents
• Part I; Invited Papers; Measuring Non-compositionality of Verb-Noun Collocations Using Lexical Functions and WordNet Hypernyms; Abstract; 1 Introduction; 2 Related Work on Non-compositionality of Collocations; 3 Lexical Functions as a Concept of the Meaning-Text Theory; 3.1 Meaning-Text Theory (MTT); 3.2 Lexical Function; 3.3 Lexical Functions in Verb-Noun Collocations; 4 Non-compositionality in Terms of Lexical Function Detection Using WordNet Hypernyms; 5 Experiments; 6 Results and Discussion

• 7 Conclusions and Future WorkAcknowledgements; References; Fuzzy-Probabilistic Estimation of the Electric Vehicles Energy Consumption; Abstract; 1 Introduction; 2 Methodology; 2.1 Framework; 2.2 Fuzzy-Probabilistic Methodology; 3 Numerical Example; 4 Conclusions; References; Natural Language Processing Applications; Data-Driven Unsupervised Evaluation of Automatic Text Summarization Systems; Abstract; 1 Introduction; 2 Related Work; 3 Our Approach; 4 Data; 5 Experiments. Results. Discussion; 5.1 Experiment with Informants; 5.2 Preliminary Evaluation of the Summaries

• 5.3 Automatic Keywords Extraction5.4 Comparison of Keywords Given by Different Groups of Informants; 6 Conclusion and Future Work; Acknowledgements; References; Extractive Single-Document Summarization Based on Global-Best Harmony Search and a Greedy Local Optimizer; Abstract; 1 Introduction; 2 Problem Statement and Its Mathematical Formulation; 3 The Proposed Memetic Algorithm; 3.1 Greedy Local Optimizer; 4 Experiment and Evaluation; 4.1 Parameter Tuning; 4.2 Results; 5 Conclusions and Future Work; Acknowledgments; References; SVD-LDA: Topic Modeling for Full-Text Recommender Systems

• 1 Introduction2 LDA and sLDA; 2.1 Latent Dirichlet Allocation; 2.2 Supervised LDA; 3 SVD in Recommender Systems; 3.1 Basic SVD Model in Collaborative Filtering; 3.2 Cold Start, Additional Information, and Content; 4 SVD-LDA; 4.1 SVD-LDA: Exact Sampling; 4.2 SVD-LDA: First Order Approximation; 4.3 Variations of SVD-LDA; 5 Evaluation; 5.1 Dataset; 5.2 RMSE Improves with LDA Training; 5.3 SVD-LDA Recommends Better Than SVD; 5.4 Predictors for Demographic Clusters; 6 Conclusion; References; Movies Recommendation Based on Opinion Mining in Twitter; 1 Introduction

• 2 Classification Models for Opinion Mining2.1 Tokenization; 2.2 Pre-processing; 2.3 Classification Models; 3 Experimental Results; 3.1 Data Collection; 3.2 Tokenization Strategies; 3.3 Pre-processing Strategies; 3.4 Movies Recommendation; 4 Related Work; 5 Conclusions and Future Work; References; Inferring Sentiment-Based Priors in Topic Models; 1 Introduction; 2 Latent Dirichlet Allocation; 2.1 Notation and the Basic LDA Model; 2.2 LDA Extensions; 2.3 Topic Models for Sentiment Analysis; 3 Learning Sentiment Priors with the EM Algorithm; 4 Experimental Results; 5 Conclusion; References

The two volume set LNAI 9413 + 9414 constitutes the proceedings of the 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca, . Morelos, Mexico, in October 2015. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 297 submissions. They were organized in topical sections named: natural language processing; logic and multi-agent systems; bioinspired algorithms; neural networks; evolutionary algorithms; fuzzy logic; machine learning and data mining; natural language processing applications; educational applications; biomedical applications; image processing and computer vision; search and optimization; forecasting; and intelligent applications.
(source: Nielsen Book Data)

• An intelligent image-based computer-aided education system: the prototype BIRDS / A.A. David, O. Thiery & M. Crehange
• PLAYMAKER: a knowledge-based approach to characterizing hydrocarbon plays / G. Biswas [and others]
• An expert system for interpreting mesoscale features in oceanographic satellite images / N. Krishnakumar [and others]
• An expert system for tuning particle beam accelerators / D.L. Lager, H.R. Brand & W.J. Maurer
• Expert system approach to assessments of bleeding predispositions in tonsillectomy/adenoidectomy patients / N.J. Pizzi & J.M. Gerrard
• Expert system approach using graph representation and analysis for variable-stroke internal-combustion engine design / S.N.T. Shen, M.S. Chew & G.F. Issa
• A comparison of two new techniques for conceptual clustering / S.L. Crawford & S.K. Souders
• Querying an object-oriented database using free language / P. Trigano [and others]
• Adaptive planning for air combat maneuvering / I.C. Hayslip, J.P. Rosenking & J. Filbert
• AM/AG model: a hierarchical social system metaphor for distributed problem solving / D.G. Shin & J. Leone
• CAUSA
• A tool for model-based knowledge acquisition / W. Dilger & J. Moller
• PRIOPS: a real-time production system architecture for programming and learning in embedded systems / D.E. Parson & G.D. Blank.

This volume contains a well-balanced set of applications and theory papers in artificial intelligence advances. The applications papers each discuss a system that is (or is close to being) a fielded system that solves real problems using one or more AI techniques. They cover areas such as education, physics, energy, control, medicine and mechanical engineering.The theory papers, representing recent advances in various theoretical aspects of AI technology, concern themselves with "building block" issues, i.e. theories, algorithms, architectures, and software tools that can or will be used for modules within future systems. The topics covered are: clustering, natural language, adaptive algorithms, distributed processing, knowledge acquisition, and systems programming.
(source: Nielsen Book Data)

• Constraints, planning, and optimization.- Data mining and machine learning.- Sensors, signal processing, and data fusion.- Recommender systems.- Decision support systems.- Knowledge representation and reasoning.- Navigation, control, and autonome agents.- Sentiment analysis and social media.- Games, computer vision, and animation.- Uncertainty management.- Graphical models: from theory to applications.- Anomaly detection.- Agronomy and artificial intelligence.- Applications of argumentation.- Intelligent systems in healthcare and mhealth for health outcomes.- Innovative applications of textual analysis based on AI.
• (source: Nielsen Book Data)

The two-volume set LNCS 10350 and 10351 constitutes the thoroughly refereed proceedings of the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, France, in June 2017. The 70 revised full papers presented together with 45 short papers and 3 invited talks were carefully reviewed and selected from 180 submissions. They are organized in topical sections: constraints, planning, and optimization; data mining and machine learning; sensors, signal processing, and data fusion; recommender systems; decision support systems; knowledge representation and reasoning; navigation, control, and autonome agents; sentiment analysis and social media; games, computer vision; and animation; uncertainty management; graphical models: from theory to applications; anomaly detection; agronomy and artificial intelligence; applications of argumentation; intelligent systems in healthcare and mhealth for health outcomes; and innovative applications of textual analysis based on AI.
(source: Nielsen Book Data)

• Constraints, planning, and optimization.- Data mining and machine learning.- Sensors, signal processing, and data fusion.- Recommender systems.- Decision support systems.- Knowledge representation and reasoning.- Navigation, control, and autonome agents.- Sentiment analysis and social media.- Games, computer vision, and animation.- Uncertainty management.- Graphical models: from theory to applications.- Anomaly detection.- Agronomy and artificial intelligence.- Applications of argumentation.- Intelligent systems in healthcare and mhealth for health outcomes.- Innovative applications of textual analysis based on AI.
• (source: Nielsen Book Data)

The two-volume set LNCS 10350 and 10351 constitutes the thoroughly refereed proceedings of the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, France, in June 2017. The 70 revised full papers presented together with 45 short papers and 3 invited talks were carefully reviewed and selected from 180 submissions. They are organized in topical sections: constraints, planning, and optimization; data mining and machine learning; sensors, signal processing, and data fusion; recommender systems; decision support systems; knowledge representation and reasoning; navigation, control, and autonome agents; sentiment analysis and social media; games, computer vision; and animation; uncertainty management; graphical models: from theory to applications; anomaly detection; agronomy and artificial intelligence; applications of argumentation; intelligent systems in healthcare and mhealth for health outcomes; and innovative applications of textual analysis based on AI.
(source: Nielsen Book Data)

• Part I. Artificial Intelligence and Machine Learning
• Part II. Artificial Intelligence User Research
• Part III. Artificial Intelligence Applications
• Part IV. Applications in Software and Systems Engineering
• Part V. Applications in Supply Chain Management and Business
• Part VI. Cognitive Computing and Internet of Things
• Part VII. Human Factors in Energy: Oil, Gas, Nuclear and Electric Power Industries.

This book addresses emerging issues concerning the integration of artificial intelligence systems in our daily lives. It focuses on the cognitive, visual, social and analytical aspects of computing and intelligent technologies, and highlights ways to improve the acceptance, effectiveness, and efficiency of said technologies. Topics such as responsibility, integration and training are discussed throughout. The book also reports on the latest advances in systems engineering, with a focus on societal challenges and next-generation systems and applications for meeting them. Based on the AHFE 2020 Virtual Conference on Software and Systems Engineering, and the AHFE 2020 Virtual Conference on Artificial Intelligence and Social Computing, held on July 16-20, 2020, it provides readers with extensive information on current research and future challenges in these fields, together with practical insights into the development of innovative services for various purposes.
(source: Nielsen Book Data)

• Evolutionary computation
• Bioinspired algorithms
• Genetic algorithms, bioinformatics and computational biology
• Modeling and simulation of artificial and biological systems
• Complex systems, synthetic and systems biology
• Systems chemistry.

This book constitutes the revised selected papers of the 10th Italian Workshop on Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, WIVACE 2015, held at Bari, Italy, in September 2015. The 18 papers presented have been thoroughly reviewed and selected from 45 submissions. They cover the following topics: evolutionary computation, bioinspired algorithms, genetic algorithms, bioinformatics and computational biology, modeling and simulation of artificial and biological systems, complex systems, synthetic and systems biology, systems chemistry.

This book discusses the latest advances in the development of artificial intelligence systems and their applications in various fields, from medicine and technology to education. It comprises papers presented at the Third International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2019), held at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia, on 1-3 October 2019. Covering topics such as mathematics and biomathematics; medical approaches; and technological and educational approaches, it is intended for the growing number of specialists and students in this field, as well as other readers interested in discovering where artificial intelligence systems can be applied in the future.

• Sorting -Permutations by -Operations.- Super Short Reversals on Both Gene Order and Intergenic Sizes.- Identifying Maximal Perfect Haplotype Blocks.- Sorting by Weighted Reversals and Transpositions.- Graph databases in Molecular Biology.- ViMT - Development of a Web-based Vivarium Management Tool.- An argumentation theory-based multiagent model to annotate proteins.- AutoModel: a client-server tool for intuitive and interactive homology modeling of protein-ligand complexes.- Detecting Acute Lymphoblastic Leukemia in Down Syndrome Patients using Convolutional Neural Networks on Preprocessed Mutated Datasets.- S2FS: Single score feature selection applied to the problem of distinguishing long non-coding RNAs from protein coding transcripts.- A Genetic Algorithm for Character State Live Phylogeny.- A workflow for predicting microRNAs targets via accessibility in Flavivirus genomes.- Parallel solution based on collective communication operations for phylogenetic bootstrapping in PhyML 3.0.
• (source: Nielsen Book Data)

• Sorting λ-Permutations by λ-Operations.- Super Short Reversals on Both Gene Order and Intergenic Sizes.- Identifying Maximal Perfect Haplotype Blocks.- Sorting by Weighted Reversals and Transpositions.- Graph databases in Molecular Biology.- ViMT
• Development of a Web-based Vivarium Management Tool.- An argumentation theory-based multiagent model to annotate proteins.- AutoModel: a client-server tool for intuitive and interactive homology modeling of protein-ligand complexes.- Detecting Acute Lymphoblastic Leukemia in Down Syndrome Patients using Convolutional Neural Networks on Preprocessed Mutated Datasets.- S2FS: Single score feature selection applied to the problem of distinguishing long non-coding RNAs from protein coding transcripts.- A Genetic Algorithm for Character State Live Phylogeny.- A workflow for predicting microRNAs targets via accessibility in Flavivirus genomes.- Parallel solution based on collective communication operations for phylogenetic bootstrapping in PhyML 3.0.

This book constitutes the refereed proceedings of the 11th Brazilian Symposium on Bioinformatics, BSB 2018, held in Rio de Janeiro, Brazil, in October/November 2018. The 13 revised full papers presented were carefully reviewed and selected from 26 submissions. The papers cover all aspects of bioinformatics and computational biology.
(source: Nielsen Book Data)

• Brain inspired cognitive systems.-Biologically inspired systems.-Cognitive neuroscience.- Models consciousness.- Neural computation.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 8th International Conference on Brain Inspired Cognitive Systems, BICS 2016, held in Beijing, China, in November 2016. The 32 full papers presented were carefully reviewed and selected from 43 submissions. They discuss the emerging areas and challenges, present the state of the art of brain-inspired cognitive systems research and applications in diverse fields by covering many topics in brain inspired cognitive systems related research including biologically inspired systems, cognitive neuroscience, models consciousness, and neural computation.
(source: Nielsen Book Data)

• Neural Computation.- Style Neutralization Generative Adversarial Classifier.- How Good a Shadow Neural Network is for Solving Non-linear Decision Making Problems.- Predicting Seminal Quality using Back-Propagation Neural Networks with Optimal Feature Subsets.- Deep Learning based Recommendation Algorithm in Online Medical Platform.- The Prediction Model of Saccade Target Based on LSTM-CRF for Chinese Reading.- Visual Cognition Inspired Vehicle Re-identification via Correlative Sparse Ranking with Multi-view Deep Features.- Fully Automatic Synaptic Cleft Detection and Segmentation From EM Images based on Deep Learning.- Deep Background Subtraction of Thermal and Visible Imagery for Pedestrian Detection in Videos.- Recent Advances in Deep Learning for Single Image Super-Resolution.- Using GAN to augment the synthesizing images from 3D models.- Deep Learning Based Single Image Super-resolution: A Survey.- DAU-GAN: Unsupervised object transfiguration via Deep Attention Unit.- Gravitational Search Optimized Hyperspectral Image Classification with Multilayer Perceptron.- 3-D Gabor Convolutional Neural Network for Damage Mapping from Post-earthquake High Resolution Images.- Biologically Inspired Systems.- A study of the role of attention in classifying covert and overt motor activities.- Attend to Knowledge: Memory-enhanced Attention Network for Image Captioning.- Direction Guided Cooperative Coevolutionary Differential Evolution Algorithm for Cognitive Modelling of Ray Tracing in Separable High Dimensional Space.- P300 brain waves instigated semi supervised video surveillance for inclusive security systems.- Motor Imagery EEG Recognition Based on FBCSP and PCA.- A Hybrid Brain-Computer Interface System Based on Motor Imageries and Eye-blinking.- Goal-directed behavior control based on the mechanism of neuromodulation.- Automated analysis of chest radiographs for cystic fibrosis scoring.- Mismatching Elimination Algorithm in SIFT Based on Function Fitting.- Novel Group Variable Selection for Salient Skull Region Selection and Sex Determination.- AFSnet: Fixation Prediction in Movie Scenes with Auxiliary Facial Saliency.- A Visual Attention Model based on Human Visual Cognition.- An Extended Common Spatial Pattern Framework for EEG-Based Emotion Classification.- CSA-DE/EDA: A Clonal Selection Algorithm Using Differential Evolution and Estimation of Distribution Algorithm.- Early Identification of Alzheimer's Disease Using An Ensemble of 3D Convolutional Neural Networks and Magnetic Resonance Imaging.- Image Recognition: Detection, Tracking and Classification.- A Novel Semi-Supervised Classification Method Based on Class Certainty of Samples.- Texture Profiles and Composite Kernel Frame for Hyperspectral Image Classification.- High-resolution Image Classification using the Dynamic Differential Evolutionary Algorithm Optimized Multi-Scale Kernel Support Vector Machine Method.- Eigenface Algorithm-Based Facial Expression Recognition in Conversations - An Experimental Study.- Unsupervised Hyperspectral Band Selection Based on maximum Information Entropy and Determinantal Point Process.- Dense Pyramid Network for Semantic Segmentation of High Resolution Aerial Imagery.- Gaussian-Staple for Robust Visual Object Real-Time Tracking.- Saliency-Weighted Global-Local Fusion for Person Re-identification.- Spectral and Spatial Kernel Extreme Learning Machine for Hyperspectral Image Classification.- Local-Global Extraction Unit for Person Re-Identification.- Robust image corner detection based on maximum point-to-chord distance.- Fabric Defect Detection based on Sparse Representation Image Decomposition.- Salient Superpixel Visual Tracking with Coarse-to-Fine Segmentation and Manifold Ranking.- A Regenerated Feature Extraction Method for Cross-modal Image Registration.- Bottom-up Saliency Prediction by Simulating End-stopping with Log-Gabor.- Learning Collaborative Sparse Correlation Filter for Real-time Multispectral Object Tracking.- Saliency Detection via Multi-view Synchronized Manifold Ranking.- Robust Visual Tracking via Sparse Feature Selection and Weight Dictionary Update.- Saliency Detection via Bidirectional Absorbing Markov Chain.- Pedestrian Detection Based on HOG, LBP Features and Visual Saliency.- Data Analysis and Natural Language Processing.- Hadoop Massive Small File Merging Technology Based on Visiting Hot-spot and Associated File Optimization.- A Reversible Data Hiding Scheme Using Compressive Sensing and Random Embedding.- An Abnormal Behavior Clustering Algorithm Based on K-means.- Manifold-regularized Adaptive Lasso.- SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis.- Self-Validated Story Segmentation of Chinese Broadcast News.- Improved Big Data Analytics Solution Using Deep Learning Model and Real-Time Sentiment Data Analysis Approach.- A Semi-Supervised Corpus Annotation for Saudi Sentiment Analysis using Twitter.- Exploiting Deep Learning for Persian Sentiment Analysis.- Big Data Analytics and Mining for Crime Data Analysis, Visualization and Prediction.- Comparison of Sentiment analysis approaches using modern Arabic and Sudanese Dialect.- An Intelligent Question Answering System for University Courses Based on BiLSTM and Keywords Similarity.- A Method for Calculating Patent Similarity Using Patent Model Tree Based on Neural Network.- An Optimal Solution of Storing and Processing Small Image Files on Hadoop.- A Big Data Analytics Platform for Information Sharing in the Connection between Administrative Law and Criminal Justice.- Applications.- RST I Invariant W Watermarking S Scheme Using Genetic Algorithm and DWT-SVD.- Application of VPN Based on L2TP and User's Access Rights in Campus Network.- Improved reversible data hiding in JPEG images based on interval correlation.- Representing RCPBAC(Role-Involved Conditional Purpose-based Access Control) in Ontology and SWRL.- Real-time Image Deformation Using Locally-weighted Moving Least Squares.- Machine-learning-based Malware Detection for Virtual Machine by Analyzing Opcode Sequence.- A Trusted Connection Authentication Reinforced By Bayes Algorithm.- A Proactive Caching Strategy Based on Deep Learning in EPC of 5G.- Dynamic Hybrid Approaching for Robust Hand-Eye Calibration.- Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection.- Comparing Event Related Arousal-Valence and Focus among Different Viewing Perspectives in VR gaming.- A Novel Loop Subdivision for Continuity Surface.- Making Industrial Robots Smarter with Adaptive Reasoning and Autonomous Thinking for Real-Time Tasks in Dynamic Environments: A Case Study.- Shading Structure-Guided Depth Image Restoration.- Machine Learning for Muon Imaging.- Night View Road Scene Enhancement based on Mixed Multi-Scale Retinex and Fractional differentiation.- Traffic Image defogging based on Bit-plane Decomposition.- The Simulation of Non-Gaussian Scattering on Rough Sea Surface.- Distributed Multi-node of Fuzzy Control Considering Adjacent Node Effect for Temperature Control.- An Improved Tentative Q learning Algorithm for Robot Learning.
• .
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 9th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2018, held in Xi'an, China, in July 2018. The 83 papers presented in this volume were carefully reviewed and selected from 137 submissions. The papers were organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; data analysis and natural language processing; and applications.
(source: Nielsen Book Data)

• Advances in Business ICT: New Ideas from Ongoing Research.- Verification of Temporal Knowledge Bases as an Important Aspect of Knowledge Management Processes in Organization.- The role of simulation performance in software-in-the-loop simulations.- Cognitum Ontorion: Knowledge Representation and Reasoning System.- Overview of Selected Business Process Semantization Techniques.- Selected Approaches Towards Taxonomy of Business Process Anomalies.- Hybrid framework for investment project portfolio selection.- Towards Predicting Stock Price Moves with Aid of Sentiment Analysis of Twitter Social Network Data and Big Data Processing Environment.- On a Property of Phase Correlation and Possibilities to Reduce the Walsh Function System.
• (source: Nielsen Book Data)

This book discusses the effective use of modern ICT solutions for business needs, including the efficient use of IT resources, decision support systems, business intelligence, data mining and advanced data processing algorithms, as well as the processing of large datasets (inter alia social networking such as Twitter and Facebook, etc.). The ability to generate, record and process qualitative and quantitative data, including in the area of big data, the Internet of Things (IoT) and cloud computing offers a real prospect of significant improvements for business, as well as the operation of a company within Industry 4.0. The book presents new ideas, approaches, solutions and algorithms in the area of knowledge representation, management and processing, quantitative and qualitative data processing (including sentiment analysis), problems of simulation performance, and the use of advanced signal processing to increase the speed of computation. The solutions presented are also aimed at the effective use of business process modeling and notation (BPMN), business process semantization and investment project portfolio selection. It is a valuable resource for researchers, data analysts, entrepreneurs and IT professionals alike, and the research findings presented make it possible to reduce costs, increase the accuracy of investment, optimize resources and streamline operations and marketing.
(source: Nielsen Book Data)