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1. |
Record Nr. |
UNINA9910746092903321 |
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Titolo |
Brain Informatics : 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1–3, 2023, Proceedings / / edited by Feng Liu, Yu Zhang, Hongzhi Kuai, Emily P. Stephen, Hongjun Wang |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (484 pages) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13974 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Social sciences - Data processing |
Education - Data processing |
Computer engineering |
Computer networks |
Artificial Intelligence |
Computer Application in Social and Behavioral Sciences |
Computers and Education |
Computer Engineering and Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cognitive and Computational Foundations of Brain Science: Fusing Structural and Functional Connectivity using Disentangled VAE for Detecting MCI -- Modulation of Beta Power as a Function of Attachment Style and Feedback Valence -- Harnessing the Potential of EEG in Neuromarketing with Deep Learning and Riemannian Geometry -- A Model of the Contribution of Interneuron Diversity to Recurrent Network Oscillation Generation and Information Coding -- Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex -- Fusing Simultaneously Acquired EEG and fMRI via Hierarchical Deep Transcoding -- Investigations of Human Information Processing Systems: Decoding Emotion Dimensions Arousal and Valence Elicited on EEG Responses to Videos and Images: A Comparative Evaluation -- Stabilize Sequential Data Representation via Attractor Module -- Investigating the |
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Generative Dynamics of Energy-Based Neural Networks -- Exploring Deep Transfer Learning Ensemble for Improved Diagnosis and Classification of Alzheimer’s Disease -- Brain Big Data Analytics, Curation and Management: Effects of EEG Electrode Numbers on Deep Learning-Based Source Imaging -- Graph Diffusion Reconstruction Model for Addictive Brain-Network Computing -- MR Image Super-Resolution using Wavelet Diffusion for Predicting Alzheimer’s Disease -- Classification of Event-Related Potential Signals with a Variant of UNet Algorithm using a Large P300 Dataset -- Dyslexia Data Consortium Repository: A Data Sharing and Delivery Platform for Research -- Conversion from Mild Cognitive Impairment to Alzheimer’s Disease: A Comparison of Tree-based Machine Learning Algorithms for Survival Analysis -- Predicting Individual Differences from Brain Responses to Music: A Comparison of Functional Connectivity Measure -- Multiplex Temporal Networks for Rapid Mental Workload Classification -- Super-Resolution MRH Reconstruction for Mouse Models -- Bayesian Time Series Classifier for Decoding Simple Visual Stimuli from Intracranial Activity -- Variability of Non-parametric HRF in Interconnectedness and its Association in Deriving Resting State Network -- BrainSegNeT: A Lightweight Brain Tumor Segmentation Model based on U-Net and Progressive Neuron Expansion -- Improving Prediction Quality of Face Image Preference using Combinatorial Fusion Algorithm -- MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging -- Rejuvenating Classical Source Localization Methods with Spatial Graph Filters -- Prediction of Cannabis Addictive Patients with Graph Neural Networks -- Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks -- Latent Neural Source Recovery via Transcoding of Simultaneous EEG-fMRI -- Informatics Paradigms for Brain and Mental Health Research: Increasing the Power of Two-Sample T-Tests in Health Psychology using a Compositional Data Approach -- Estimating Dynamic Posttraumatic Stress Symptom Trajectories with Functional Data Analysis -- Comparison Between Explainable AI Algorithms for Alzheimer’s Disease Prediction Using EfficientNet Models -- Social and Non-social Reward Learning Contexts for Detection of Major Depressive Disorder using EEG: A Machine Learning Approach -- Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer’s Disease Detection from MRI Images -- Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript -- Brain-Machine Intelligence and Brain-Inspired Computing -- Exploiting Approximate Joint Diagonalization for Covariance Estimation in Imagined Speech Decoding -- Automatic Sleep-Wake Scoring with Optimally Selected EEG Channels from High-Density EEG -- EEG Source Imaging of Hand Movement-Related Areas: An Evaluation of the Reconstruction Accuracy with Optimized Channels -- Bagging the Best: A Hybrid SVM-KNN Ensemble for Accurate and Early Detection of Alzheimer's and Parkinson's Diseases -- Roe: A Computational-Efficient Anti-Hallucination Fine-Tuning Technology for Large Language Model Inspired by Human Learning Process -- The 5th International Workshop on Cognitive Neuroscience of Thinking and Reasoning: Brain Intervention Therapy Dilemma: Functional Recovery versus Identity. |
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Sommario/riassunto |
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This book constitutes the proceedings of the 16th International Conference on Brain Informatics, BI 2023, which was held in Hoboken, NJ, USA, during August 1–3, 2023. The 40 full papers presented in this book were carefully reviewed and selected from 101 submissions. The papers are divided into the following topical sections: cognitive and computational foundations of brain science; investigations of human |
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Information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; brain-machine intelligence and brain-inspired computing; and the 5th international workshop on cognitive neuroscience of thinking and reasoning. |
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2. |
Record Nr. |
UNINA9910484539303321 |
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Titolo |
Advances in Information Retrieval : 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014, Proceedings / / edited by Maarten de Rijke, Tom Kenter, Arjen P. de Vries, ChengXiang Zhai, Franciska de Jong, Kira Radinsky, Katja Hofmann |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (XXX, 830 p. 169 illus.) |
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Collana |
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Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 8416 |
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Disciplina |
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Soggetti |
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Information storage and retrieval systems |
Database management |
Data mining |
Multimedia systems |
Application software |
User interfaces (Computer systems) |
Human-computer interaction |
Information Storage and Retrieval |
Database Management |
Data Mining and Knowledge Discovery |
Multimedia Information Systems |
Computer and Information Systems Applications |
User Interfaces and Human Computer Interaction |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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Reducing Reliance on Relevance Judgments for System Comparison by Using Expectation-Maximization.- Best and Fairest: An Empirical Analysis of Retrieval System Bias -- Tackling Biased Baselines in the Risk-Sensitive Evaluation of Retrieval Systems.- Content + Attributes: A Latent Factor Model for Recommending Scientific Papers in Heterogeneous Academic Networks.- Real-Time News Recommendation Using Context-Aware Ensembles.- A Personalised Recommendation System for Context-Aware Suggestions -- Optimizing Base Rankers Using Clicks: A Case Study Using BM25.- Predicting Search Task Difficulty.- Crawling Policies Based on Web Page Popularity Prediction.- Measuring the Effectiveness of Gamesourcing Expert Oil Painting Annotations.- Relevance-Ranked Domain-Specific Synonym Discovery -- Towards Generating Text Summaries for Entity Chains.- Tolerance of Effectiveness Measures to Relevance Judging Errors.- Evaluation of IR Applications with Constrained Real Estate.- Dissimilarity Based Query Selection for Efficient Preference Based IR Evaluation.- Blending Vertical and Web Results: A Case Study Using Video Intent.- Personalizing Aggregated Search.- HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks.- Leveraging Dynamic Query Subtopics for Time-Aware Search Result Diversification.- A Study of Query Term Deletion Using Large-Scale E-commerce Search Logs.- Detecting Missing Content Queries in an SMS-Based HIV/AIDS FAQ Retrieval System.- Cross-Language Pseudo-Relevance Feedback Techniques for Informal Text -- Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining.- Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams -- Thumbnail Summarization Techniques for Web Archives -- CiteSeerx: A Scholarly Big Dataset -- User Reviews in the Search Index? That’ll Never Work.- A Scalable Gibbs Sampler for Probabilistic Entity Linking.- Effective Kernelized OnlineLearning in Language Processing Tasks -- On Inverted Index Compression for Search Engine Efficiency.- Exploring the Space of IR Functions.- Metric Spaces for Temporal Information Retrieval.- Local Linear Matrix Factorization for Document Modeling.- Video Clip Retrieval by Graph Matching.- EDIUM: Improving Entity Disambiguation via User Modeling.- A Comparison of Approaches for Measuring Cross-Lingual Similarity of Wikipedia Articles.- Challenges on Combining Open Web and Dataset Evaluation Results: The Case of the Contextual Suggestion Track.- Integrating Multiple Resources for Diversified Query Expansion.- Facet-Based User Modeling in Social Media for Personalized Ranking.- Spot the Ball: Detecting Sports Events on Twitter.- Exploiting Result Diversification Methods for Feature Selection in Learning to Rank.- Boilerplate Detection and Recoding.- A Two-level Approach for Subtitle Alignment -- Analyzing Discussions on Twitter: Case Study on HPV Vaccinations.- Automatically Retrieving Explanatory Analogies from Webpages.- Geo-spatial Domain Expertise in Microblogs -- The Impact of Semantic Document Expansion on Cluster-Based Fusion for Microblog Search.- Towards a Classifier for Digital Sensitivity Review.- Unsupervised Approach for Identifying Users’ Political Orientations.- User Perception of Information Credibility of News on Twitter.- Sentiment Analysis and the Impact of Employee Satisfaction on Firm Earnings.- Entity Tracking in Real-Time Using Sub-topic Detection on Twitter -- Time-Aware Focused Web Crawling.- Temporal Expertise Profiling.- Assessing Quality of Unsupervised Topics in Song Lyrics.- An Information Retrieval-Based Approach to |
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Determining Contextual Opinion Polarity of Words.- Query Term Suggestion in Academic Search.- The Impact of Future Term Statistics in Real-Time Tweet Search.- Exploring Adaptive Window Sizes for Entity Retrieval.- Score Normalization Using Logistic Regression with Expected Parameters.- MoreInformative Open Information Extraction via Simple Inference.- Learning a Theory of Marriage (and Other Relations) from a Web Corpus.- Learning from User Interactions for Recommending Content in Social Media -- Towards an Entity–Based Automatic Event Validation.- Query Expansion with Temporal Segmented Texts.- On Clustering and Polyrepresentation.- Effects of Position Bias on Click-Based Recommender Evaluation.- Bringing Information Retrieval into Crowdsourcing: A Case Study.- Quality-Based Automatic Classification for Presentation Slides.- Context of Seasonality in Web Search.- On the Effect of Locality in Compressing Social Networks.- Cross-Domain Collaborative Filtering with Factorization Machines.- Improvements to Suffix Tree Clustering -- Deep Learning for Character-Based Information Extraction.- Text-Image Topic Discovery for Web News Data.- Detecting Event Visits in Urban Areas via Smartphone GPS Data.- A Case for Hubness Removal in High–Dimensional Multimedia Retrieval -- Multi-evidence User Group Discovery in Professional Image Search.- Analyzing Tweets to Aid Situational Awareness.- Query-Dependent Contextualization of Streaming Data.- An Exploration of Tie-Breaking for Microblog Retrieval.- Efficiently Estimating Retrievability Bias.- A Language Modeling Approach to Personalized Search Based on Users’ Microblog Behavior.- Using Hand Gestures for Specifying Motion Queries in Sketch-Based Video Retrieval.- Page Retrievability Calculator.- ORMA: A Semi-automatic Tool for Online Reputation Monitoring in Twitter.- My First Search User Interface -- Needle Custom Search: Recall-Oriented Search on the Web Using Semantic Annotations -- Khresmoi Professional: Multilingual, Multimodal Professional Medical Search.- DAIKnow: A Gamified Enterprise Bookmarking System.- Search Maps: Enhancing Traceability and Overview in Collaborative Information Seeking.- Visual Interactive Environment for Making Sense of Experimental Data -- TripBuilder: ATool for Recommending Sightseeing Tours.- GTE-Cluster: A Temporal Search Interface for Implicit Temporal Queries.- SQX-Lib: Developing a Semantic Query Expansion System in a Media Group.- EntEXPO: An Interactive Search System for Entity-Bearing Queries.- Column Stores as an IR Prototyping Tool.- CroSeR: Cross-language Semantic Retrieval of Open Government Data.- Bibliometric-Enhanced Information Retrieval.- 4th Workshop on Context-Awareness in Retrieval and Recommendation.- Workshop on Gamification for Information Retrieval (GamifIR’14).- Information Access in Smart Cities (i-ASC).- Designing Search Usability.- Text Quantification.- The Cluster Hypothesis in Information Retrieval. |
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Sommario/riassunto |
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This book constitutes the proceedings of the 36th European Conference on IR Research, ECIR 2014, held in Amsterdam, The Netherlands, in April 2014. The 33 full papers, 50 poster papers and 15 demonstrations presented in this volume were carefully reviewed and selected from 288 submissions. The papers are organized in the following topical sections: evaluation, recommendation, optimization, semantics, aggregation, queries, mining social media, digital libraries, efficiency, and information retrieval theory. Also included are 3 tutorial and 4 workshop presentations. |
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