yusuke1997/dblp-id-title huggingface dataset:
LDC-1: A Transportable, Knowledge-Based Natural Language Processor for Office Environments
Consistency, Standards, and Formal Approaches to Interface Development and Evaluation: A Note on Wiecha, Bennett, Boies, Gould, and Greene
Understanding the Purpose of Permission Use in Mobile Apps
Including Co-Relation via Concatenate Operator for Static and Temporal Knowledge Graph Embedding
Interaction-aware Drug Package Recommendation via Policy Gradient
Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation
Explainable CNN for brain tumor detection and classification through XAI based key features identification
An adaptive annotation approach for biomedical entity and relation recognition
Toward the holistic, reference, and extendable atlas of the human brain, head, and neck
A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's Disease
Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders
An event based topic learning pipeline for neuroimaging literature mining
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions
Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment
Analysis of alcoholic EEG signals based on horizontal visibility graph entropy
Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals
Machine and cognitive intelligence for human health: systematic review
Global analysis of gene expression and projection target correlations in the mouse brain
SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals
Effective relax acquisition: a novel approach to classify relaxed state in alpha band EEG-based transformation
Personalized rTMS treatment recommendation with retrieval-augmented LLM reasoning
Convolutional neural network optimizes the application of diffusion kurtosis imaging in Parkinson's disease
Localization of epileptic foci from intracranial EEG using the GRU-GC algorithm
A tamper-proof audit and control system for the doctor in the loop
Detecting depression using an ensemble classifier based on Quality of Life scales
Quantitative evaluation of robust skull stripping and tumor detection applied to axial MR images
Stroke recovery phenotyping through network trajectory approaches and graph neural networks
The independent prognostic value of brain diffusion tensor imaging in comatose patients after cardiac arrest
Automated epileptic seizures detection using multi-features and multilayer perceptron neural network
Bioplausible multiscale filtering in retino-cortical processing as a mechanism in perceptual grouping
Assisted neuroscience knowledge extraction via machine learning applied to neural reconstruction metadata on NeuroMorpho.Org
The effect of anger expression style on cardiovascular responses to lateralized cognitive stressors
Advancing Alzheimer's disease detection: a novel convolutional neural network based framework leveraging EEG data and segment length analysis
The onset of motor learning impairments in Parkinson's disease: a computational investigation
Local dimension-reduced dynamical spatio-temporal models for resting state network estimation
Gamma entrainment frequency affects mood, memory and cognition: an exploratory pilot study
Measuring cognitive load of digital interface combining event-related potential and BubbleView
SmaRT2P: a software for generating and processing smart line recording trajectories for population two-photon calcium imaging
Classifying the tracing difficulty of 3D neuron image blocks based on deep learning
Machine-learning models for Alzheimer's disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation
Enhancing neural signal quality: a spike-denoising model with BiLSTM and attention mechanism
Spreading activation in emotional memory networks and the cumulative effects of somatic markers
A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research
Hemodynamic functional connectivity optimization of frequency EEG microstates enables attention LSTM framework to classify distinct temporal cortical communications of different cognitive tasks
Detection of event-related potentials in individual subjects using support vector machines
Frontal lobe regulation of blood glucose levels: support for the limited capacity model in hostile violence-prone men
A single-snapshot inverse solver for two-species graph model of tau pathology spreading in human Alzheimer's disease
Fast assembling of neuron fragments in serial 3D sections
A temporal-spectral graph convolutional neural network model for EEG emotion recognition within and across subjects
Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation
Individual differences in skill acquisition and transfer assessed by dual task training performance and brain activity
SmartTracing: self-learning-based Neuron reconstruction
On the statistical performance of Granger-causal connectivity estimators
ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates
A EEG-based emotion recognition model with rhythm and time characteristics
DeepNeuron : an open deep learning toolbox for neuron tracing
Identifying HIV-induced subgraph patterns in brain networks with side information
Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer's disease
Efficient emotion recognition using hyperdimensional computing with combinatorial channel encoding and cellular automata
Pattern recognition of spectral entropy features for detection of alcoholic and control visual ERP's in multichannel EEGs
Distraction descriptor for brainprint authentication modelling using probability-based Incremental Fuzzy-Rough Nearest Neighbour
Hierarchical intrinsically motivated agent planning behavior with dreaming in grid environments
Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI)
An integrated feature ranking and selection framework for ADHD characterization
Explainability of random survival forests in predicting conversion risk from mild cognitive impairment to Alzheimer's disease
Review of EEG-based pattern classification frameworks for dyslexia
Removal of muscular artifacts in EEG signals: a comparison of linear decomposition methods
EEG source imaging of hand movement-related areas: an evaluation of the reconstruction and classification accuracy with optimized channels
Behavioural relevance of redundant and synergistic stimulus information between functionally connected neurons in mouse auditory cortex
Side-channel attacks against the human brain: the PIN code case study (extended version)
Biotuner: A python toolbox integrating music theory and signal processing for harmonic analysis of physiological and natural time series
Visual analytics for concept exploration in subspaces of patient groups
An efficient scheme for mental task classification utilizing reflection coefficients obtained from autocorrelation function of EEG signal
A gender-aware saliency prediction system for web interfaces using deep learning and eye-tracking data
Assessing consciousness in patients with disorders of consciousness using soft-clustering
Automatic identification of scientific publications describing digital reconstructions of neural morphology
Exploring highly reliable substructures in auto-reconstructions of a neuron
Motor imagery decoding network with multisubject dynamic transfer
Robust estimation of sulcal morphology
A global framework for a systemic view of brain modeling
Classifying oscillatory brain activity associated with Indian Rasas using network metrics
Technological advancements and opportunities in Neuromarketing: a systematic review
The role of artificial intelligence and machine learning in harmonization of high-resolution post-mortem MRI (virtopsy) with respect to brain microstructure
A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging
Error-related brain state analysis using electroencephalography in conjunction with functional near-infrared spectroscopy during a complex surgical motor task
Towards virtual training of emotion regulation
Exploring multi-granularity balance strategy for class incremental learning via three-way granular computing
Granular computing with multiple granular layers for brain big data processing
Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer's disease, Parkinson's disease and schizophrenia
Seizure classification with selected frequency bands and EEG montages: a Natural Language Processing approach
Healing the next generation: an adaptive agent model for the effects of parental narcissism
Enhanced brain parcellation via abnormality inpainting for neuroimage-based consciousness evaluation of hydrocephalus patients by lumbar drainage
EEG-based human emotion recognition using entropy as a feature extraction measure
Correction to: Two-step verification of brain tumor segmentation using watershed-matching algorithm
A novel spectral entropy-based index for assessing the depth of anaesthesia
AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts
Neuropsychopharmacological effects of midazolam on the human brain
On the combination of two visual cognition systems using combinatorial fusion
Test-retest reliability of brain morphology estimates
Fuzzy clustering-based feature extraction method for mental task classification
Domain Adaptation-enhanced searchlight: enabling classification of brain states from visual perception to mental imagery
An automated extraction of spectral-temporal and spatial-temporal features of EEG for emotion detection
EEG-based classification of epilepsy and PNES: EEG microstate and functional brain network features
Epileptic seizure detection from EEG signals using logistic model trees
Ictal-onset localization through effective connectivity analysis based on RNN-GC with intracranial EEG signals in patients with epilepsy
A serious-gamification blueprint towards a normalized attention
Examining the reliability of brain age algorithms under varying degrees of participant motion
Recurrence eigenvalues of movements from brain signals
Classification of epileptic EEG signals based on simple random sampling and sequential feature selection
Statistical independence for the evaluation of classifier-based diagnosis
A 3D stereotactic atlas of the adult human skull base
Interactive machine learning for health informatics: when do we need the human-in-the-loop?
Predicting the course of Alzheimer's progression
Connecto-informatics at the mesoscale: current advances in image processing and analysis for mapping the brain connectivity
Channel-independent recreation of artefactual signals in chronically recorded local field potentials using machine learning
Quantitative electroencephalographic and neuropsychological investigation of an alternative measure of frontal lobe executive functions: the Figure Trail Making Test
Improved shuffled frog leaping algorithm on system reliability analysis
Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning
Towards automatic text-based estimation of depression through symptom prediction
A deep convolutional visual encoding model of neuronal responses in the LGN
Semantic representation of neural circuit knowledge in Caenorhabditis elegans
A review of epileptic seizure detection using machine learning classifiers
An evaluation of transfer learning models in EEG-based authentication
The structure function as new integral measure of spatial and temporal properties of multichannel EEG
Blockchain-enabled digital twin system for brain stroke prediction
Preoperative prediction of language function by diffusion tensor imaging
A review of heterogeneous data mining for brain disorder identification
Detecting label noise in longitudinal Alzheimer's data with explainable artificial intelligence
Enhancing neural rehabilitation insights: on the path of bridging artificial and biological neural networks
Epilepsy seizure prediction with few-shot learning method
Single classifier vs. ensemble machine learning approaches for mental health prediction
A review of structural and functional brain networks: small world and atlas
Two-dimensional enrichment analysis for mining high-level imaging genetic associations
Advancing EEG prediction with deep learning and uncertainty estimation
Effect of data harmonization of multicentric dataset in ASD/TD classification
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients
GAN-based synthetic brain PET image generation
An open-source framework for neuroscience metadata management applied to digital reconstructions of neuronal morphology
Machine learning-XGBoost analysis of language networks to classify patients with epilepsy
A dynamic directed transfer function for brain functional network-based feature extraction
Retrieving similar substructures on 3D neuron reconstructions
A hybrid neuromarketing approach exploiting EEG graph signal processing and gaze dynamic patterning
CalciumZero: a toolbox for fluorescence calcium imaging on iPSC derived brain organoids
Regulation of tau protein by circCwc27: shared pathogenic mechanisms in type 2 diabetes mellitus and Alzheimer's disease
Automated seizure diagnosis system based on feature extraction and channel selection using EEG signals
Deterioration from healthy to mild cognitive impairment and Alzheimer's disease mirrored in corresponding loss of centrality in directed brain networks
Localization of epileptic seizure focus by computerized analysis of fMRI recordings
Integrated space-frequency-time domain feature extraction for MEG-based Alzheimer's disease classification
Can heart rate sequences from wearable devices predict day-long mental states in higher education students: a signal processing and machine learning case study at a UK university
The diversity rank-score function for combining human visual perception systems
Brain-imager: a multimodal framework for image reconstruction and captioning from human brain activity
Person authentication based on eye-closed and visual stimulation using EEG signals
Machine learning determination of applied behavioral analysis treatment plan type
A deep learning based cognitive model to probe the relation between psychophysics and electrophysiology of flicker stimulus
Classification of age groups and task conditions provides additional evidence for differences in electrophysiological correlates of inhibitory control across the lifespan
Exploring stability-based voxel selection methods in MVPA using cognitive neuroimaging data: a comprehensive study
Addictive brain-network identification by spatial attention recurrent network with feature selection
Inferring the temporal evolution of synaptic weights from dynamic functional connectivity
Correction: Semantic representation of neural circuit knowledge in Caenorhabditis elegans
Harnessing the potential of machine learning and artificial intelligence for dementia research
Optshrink LR + S: accelerated fMRI reconstruction using non-convex optimal singular value shrinkage
Brain explorer for connectomic analysis
Modeling and predicting individual tacit coordination ability
An automatic method using MFCC features for sleep stage classification
HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI)
Age-dependent vestibular cingulate-cerebral network underlying gravitational perception: a cross-sectional multimodal study
Workload regulation by Sudarshan Kriya: an EEG and ECG perspective
Near-channel classifier: symbiotic communication and classification in high-dimensional space
Name-calling in the hippocampus (and beyond): coming to terms with neuron types and properties
Multimodal neuroimaging computing: the workflows, methods, and platforms
Computational cognitive modelling of action awareness: prior and retrospective
Wavelet-based study of valence-arousal model of emotions on EEG signals with LabVIEW
Learning image derived PDE-phenotypes from fMRI data
3D convolutional neural networks-based multiclass classification of Alzheimer's and Parkinson's diseases using PET and SPECT neuroimaging modalities
R NeuMark: A Riemannian EEG Analysis Framework for Neuromarketing
Exploring the bidirectional relationships between MRI resting-state functional connectivity networks and cardiovascular diseases: a Mendelian randomization study
Early detection of Alzheimer's disease using neuropsychological tests: a predict-diagnose approach using neural networks
Multi-view graph-based interview representation to improve depression level estimation
Two-step verification of brain tumor segmentation using watershed-matching algorithm
Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics
Synergistic medical genetic evolutionary optimization and deep convolutional generative augmentation with SHAP-driven interpretability for precise Alzheimer's disease severity grading
Improved fruit fly algorithm on structural optimization
Common spatial pattern for classification of loving kindness meditation EEG for single and multiple sessions
A machine learning approach to predict perceptual decisions: an insight into face pareidolia
Spike pattern recognition by supervised classification in low dimensional embedding space
Time-frequency texture descriptors of EEG signals for efficient detection of epileptic seizure
Diagonal queue medical image steganography with Rabin cryptosystem
Modeling biological memory network by an autonomous and adaptive multi-agent system
Quantitative investigation of memory recall performance of a computational microcircuit model of the hippocampus
Predicting object properties based on movement kinematics
Two-stepped majority voting for efficient EEG-based emotion classification
Electrical analysis of logical complexity: an exploratory eeg study of logically valid/invalid deducive inference
Age-informed, attention-based weakly supervised learning for neuropathological image assessment
Enhancing cerebral infarct classification by automatically extracting relevant fMRI features
Breakdown of the compositional data approach in psychometric Likert scale big data analysis: about the loss of statistical power of two-sample t-tests applied to heavy-tailed big data
Improving Likert scale big data analysis in psychometric health economics: reliability of the new compositional data approach
Evaluating deep learning EEG-based mental stress classification in adolescents with autism for breathing entrainment BCI
Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features
Automated identification of dementia using medical imaging: a survey from a pattern classification perspective
Spreading activation in nonverbal memory networks
Addiction-related brain networks identification via Graph Diffusion Reconstruction Network
Cerebrovascular disease case identification in inpatient electronic medical record data using natural language processing
Brain age gap estimation using attention-based ResNet method for Alzheimer's disease detection
Smart imaging to empower brain-wide neuroscience at single-cell levels
Cross subject emotion identification from multichannel EEG sub-bands using Tsallis entropy feature and KNN classifier
Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline
A structural equation model for imaging genetics using spatial transcriptomics
Investigating the mental health of university students during the COVID-19 pandemic in a UK university: a machine learning approach using feature permutation importance
A multi-expert ensemble system for predicting Alzheimer transition using clinical features
Methods for inferring neural circuit interactions and neuromodulation from local field potential and electroencephalogram measures
A semi-automated workflow solution for multimodal neuroimaging: application to patients with traumatic brain injury
Optimized statistical parametric mapping procedure for NIRS data contaminated by motion artifacts
The intrinsic geometry of the human brain connectome
Thought Chart: tracking the thought with manifold learning during emotion regulation
Quantifying numerical and spatial reliability of hippocampal and amygdala subdivisions in FreeSurfer
Machine learning methods for the study of cybersickness: a systematic review
Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database
Prior context influences motor brain areas in an auditory oddball task and prefrontal cortex multitasking modelling
Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines
Various epileptic seizure detection techniques using biomedical signals: a review
3D convolutional neural networks uncover modality-specific brain-imaging predictors for Alzheimer's disease sub-scores
HoRNS-CNN model: an energy-efficient fully homomorphic residue number system convolutional neural network model for privacy-preserving classification of dyslexia neural-biomarkers
Robust unified Granger causality analysis: a normalized maximum likelihood form
WaaS architecture-driven depressive mood status quantitative analysis based on forehead EEG and self-rating tool
Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders
Improved diagonal queue medical image steganography using Chaos theory, LFSR, and Rabin cryptosystem
Ensemble of vision transformer architectures for efficient Alzheimer's Disease classification
Predicting cognitive dysfunction and regional hubs using Braak staging amyloid-beta biomarkers and machine learning
High-throughput mesoscopic optical imaging data processing and parsing using differential-guided filtered neural networks
Identification and classification of brain tumor MRI images with feature extraction using DWT and probabilistic neural network
Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task
Treatment journey clustering with a novel kernel k-means machine learning algorithm: a retrospective analysis of insurance claims in bipolar I disorder
Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairment
Review of computational neuroaesthetics: bridging the gap between neuroaesthetics and computer science
Brain-computer interface: trend, challenges, and threats
Reconstructing the brain: from image stacks to neuron synthesis
Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model
A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease
Local regression transfer learning with applications to users' psychological characteristics prediction
A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques
The effects of emotional states and traits on time perception
A comparison of several computational auditory scene analysis (CASA) techniques for monaural speech segregation
Linear Dynamic Sparse Modelling for functional MR imaging
Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing
Cortical dynamics of perception as trains of coherent gamma oscillations, with the pulvinar as central coordinator
MCGNet + : an improved motor imagery classification based on cosine similarity