yusuke1997/dblp-id-title huggingface dataset:
A Benchmark Study Of Backdoor Data Poisoning Defenses For Deep Neural Network Classifiers And A Novel Defense
Optimal cost function and magnitude power for NMF-based speech separation and music interpolation
A robust maximum correntropy criterion for dictionary learning
A cloud computing service for fast audio source signal separation
Efficient cyclic Learning rate Schedules and their Evaluations for Neural Network Ensemble
Self-Attention Neural Bag-of-Features
Deep Bayesian Unsupervised Source Separation Based On A Complex Gaussian Mixture Model
Efficient temporal decomposition of local field potentials
Robust online estimation of the vanishing point for vehicle mounted cameras
A Unified PAC-Bayesian Framework for Machine Unlearning via Information Risk Minimization
Efficient Pre-Designed Convolutional Front-End for Deep Learning
Detecting trends in twitter time series
Speaker recognition with rival penalized EM training
An Ensemble Learning Method for Volunteer Retention Prediction
Neonatal seizure detection using convolutional neural networks
Sparse coding with anomaly detection
Microvascular blood flow estimation in sublingual microcirculation videos based on a principal curve tracing algorithm
Hierarchical sparse brain network estimation
Towards Ethical Content-Based Detection Of Online Influence Campaigns
A Lifted Bregman Strategy for Training Unfolded Proximal Neural Network Gaussian Denoisers
A Size-Generalizable Graph Neural Network for Learning Multi-User Multi-Stream MIMO Precoding
Cognitive-Driven Convolutional Beamforming Using EEG-Based Auditory Attention Decoding
Robot Motion Prediction by Channel State Information
Audio-visual speaker localization via weighted clustering
About the Equivalence Between Complex-Valued and Real-Valued Fully Connected Neural Networks - Application to Polinsar Images
Epileptic focus localization using EEG based on discrete wavelet transform through full-level decomposition
Sparse spectral analysis of atrial fibrillation electrograms
Tendencies regarding the effect of emotional intensity in inter corpus phoneme-level speech emotion modelling
Modeling Phone Call Durations via Switching Poisson Processes with Applications in Mental Health
Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training
Information Entropy-Based Scheduling for Communication-Efficient Decentralized Learning
Stochastic quantum Information Processing, with Applications to blind quantum System identification and Source separation
Noise RETF Estimation and Removal for Low SNR Speech Enhancement
Heterogeneous mixture models using sparse representation features for applause and laugh detection
Probabilistic interpolative decomposition
Utilizing Dynamic Sparsity on Pretrained DETR
A Neural Beamforming Network for B-Format 3D Speech Enhancement and Recognition
CNN-Based Energy Learning for MPP Object Detection in Satellite Images
End-to-End Learning for Retrospective Change-Point Estimation
Irregular Tree-Structured Bayesian Network for image segmentation
QISTA-Net: DNN Architecture to Solve $\ell_{Q}$-Norm Minimization Problem
Distributed variational sparse Bayesian learning for sensor networks
Visible Light-Based Robust Positioning Under Detector Orientation Uncertainty: A Gabor Convolutional Network-Based Approach Extracting Stable Texture Features
Optimizing Time Domain Fully Convolutional Networks for 3D Speech Enhancement in a Reverberant Environment Using Perceptual Losses
Network Reconstruction From Time-Course Perturbation Data Using Multivariate Gaussian Processes
An accelerated newton's method for projections onto the ℓ1-ball
EMORF-II: Adaptive Em-Based Outlier-Robust Filtering with Correlated Measurement Noise
Acoustic surveillance based on Higher-order Local Auto-Correlation
Dfa-Con: A Contrastive Learning Approach for Detecting Copyright Infringement in Deepfake Art
Missing component restoration for masked speech signals based on time-domain spectrogram factorization
Simultaneous and proportional control of 2D wrist movements with myoelectric signals
Distributionally Robust Domain Adaptation via Optimal Transport
Authnet: Biometric Authentication Through Adversarial Learning
On the performance of histogram-based entropy estimators
Adaptable Non-Parametric Approach for Speech-Based Symptom Assessment: Isolating Private Medical Data in a Retrieval Datastore
Disentangled Speech Representation Learning Based on Factorized Hierarchical Variational Autoencoder with Self-Supervised Objective
Estimation of periodicity in non-uniformly sampled astronomical data using a 2D kernel in correntropy
The discounted cumulative margin penalty: Rank-learning with a list-wise loss and pair-wise margins
The effect of missing data on robust Bayesian spectral analysis
Multi-resolution inversion algorithm for the attenuated radon transform
On the generalization ability of distributed online learners
Online Anomaly Detection in Multivariate Settings
Haussdorff and hellinger for colorimetric sensor array classification
Partitioning in signal processing using the object migration automaton and the pursuit paradigm
Intra-cluster training strategy for deep learning with applications to language identification
Early Fusion Graph Convolutional Network for Skeleton-Based Action Recognition
Bandit-Based Relay Selection in Cooperative Networks Over Unknown Stationary Channels
Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images
Hand Tremor Recognition Based on RFID Doppler Frequency Shift Signal
Deep Learning with Spatial and Channel Attention for Epileptic Seizure Type Classification Using Frequency Characterization
Learning Graph Signal Representations with Narrowband Spectral Kernels
Compression Beyond Pixels: Semantic Compression with Multimodal Foundation Models
Multimodal Generative Semantic Communication Based on Latent Diffusion Model
Approximate method of variational Bayesian matrix factorization with sparse prior
Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method
Coherent time modeling of Semi-Markov models with application to real-time audio-to-score alignment
Low-Dimensional Decomposition of Manifolds in Presence of Outliers
Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidance
Unsupervised Anomalous Sound Detection Using Loss-Weighted Clustered Federated Pre-Training
Unsupervised multiview learning with partial distribution information
Collaborative Learning for Incremental Classification of EMG Signals
Incremental Label Propagation on Facial Images
Direct Localization in Underwater Acoustics Via Convolutional Neural Networks: A Data-Driven Approach
Mixing model in slitless spectroscopy and resulting blind methods for separating galaxy spectra
Anomaly Detection of Attacks (Ada) on DNN Classifiers at Test Time
Kernel covariance series smoothing
Self-Trained Video Anomaly Detection Based on Teacher-Student Model
Adapted Geometric Semantic Genetic programming for diabetes and breast cancer classification
IRM-Net: An Enhanced Attention Networks for Indoor Radio Map Estimation
Mean Shift Spectral Clustering using Kernel Entropy Component Analysis
Distributed Dictionary Learning Over Heterogeneous Clients Using Local Adaptive Dictionaries
OCT A-Scan based lung tumor tissue classification with Bidirectional Long Short Term Memory networks
Differential edit distance as a countermeasure to video scene ambiguity
Active one-class learning by kernel density estimation
Large scale collaboration with autonomy: Decentralized data ICA
Robust mixture models for anomaly detection
Non-negative Tensor Factorization with missing data for the modeling of gene expressions in the Human Brain
Online variational Message Passing in the Hierarchical Gaussian filter
Preferential Batch Bayesian Optimization
Deep learning for epileptic intracranial EEG data
On Convergence Rate of Adaptive Multiscale Value Function Approximation for Reinforcement Learning
Contrastive Disentanglement Learning for Empathetic Generation
F0 Estimation Using Blind Source Separation for Analyzing Noh Singing
U-Net Based Indoor Radio Map Prediction Under Sparse Sampling
A Discriminative Approach To Unsupervised Domain Adaptation in Coarse-To-Fine Classifiers
Gaussian processes for music audio modelling and content analysis
Information theoretic feature projection for single-trial brain-computer interfaces
On Neural Collapse in Contrastive Learning with Imbalanced Datasets
Convnext-PCA: A Parameter-Efficient Model for Accurate Kidney Abnormality Classification
Time series forecasting via noisy channel reversal
Text-informed audio source separation using nonnegative matrix partial co-factorization
Image restoration with locally selected class-adapted models
Quality Preserving Face de-identification against Deep CNNs
A Copula-Driven Unsupervised Learning Framework for Anomaly Detection with Multivariate Heterogeneous Data
K-SVD with a Real ℓ0 Optimization: Application to Image Denoising
Robust and Efficient Kernel-Based Digital Self-Interference Cancellation Using a Priori Knowledge in Full-Duplex Transceivers
Diffusion LMS for multitask problems with overlapping hypothesis subspaces
Globally Optimal Robust Matrix Completion Based on M-Estimation
Dynamic Graph Convolutional Network: A Topology Optimization Perspective
IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2012, Santander, Spain, September 23-26, 2012
A block-based approach to adaptively bias the weights of adaptive filters
Enhancing Image Privacy in Semantic Communication over Wiretap Channels Leveraging Differential Privacy
Neural correlates of visual perception in rapid serial visual presentation paradigms
Model-free optimal de-drifting and enhanced detection in fMRI data
Securing virtual execution environments through machine learning-based intrusion detection
A novel adaptive Nyström approximation
HESS-MC 2 : Sequential Monte Carlo Squared Using Hessian Information and Second Order Proposals
Parallelizable sparse inverse formulation Gaussian processes (SpInGP)
Model Selection of Kernel Ridge Regression for Extrapolation
APE: Archetypal-Prototypal Embeddings for Audio Classification
Episodic Fine-Tuning Prototypical Networks for Optimization-Based Few-Shot Learning: Application to Audio Classification
Context Dependent Spectral Unmixing
A consensus-based decentralized emforamixture of factor analyzers
TNSPC: Learning from Partially Observed Data Using Tensor Network Structured Probabilistic Circuits
Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization
Online regularized discriminant analysis
Bayesian Deep Learning Detection of Anomalies and Failure: Application To Medical Images
A Kullback-Leibler divergence approach for wavelet-based blind image deconvolution
Inference and Denoise: Causal Inference-Based Neural Speech Enhancement
Mini-batch stochastic approaches for accelerated multiplicative updates in nonnegative matrix factorisation with beta-divergence
Enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation
Learning sparsity and structure of matrices with multiscale graph basis dictionaries
Data privacy protection by kernel subspace projection and generalized eigenvalue decomposition
Deep Learning for Fine-Grained Classification of Montelupo Majolica: Benchmarking and Explainability
Deep Learning For Mri Reconstruction Using A Novel Projection Based Cascaded Network
Cover tree compressed sensing for fast mr fingerprint recovery
Large scale graph mining for web reputation inference
Multi-View Self-Supervised Learning For Multivariate Variable-Channel Time Series
Joint time-frequency scattering for audio classification
An Algorithm Based on Topological Data Analysis for Solving Unsupervised Machine Learning Problems
The widely linear block quaternion least mean square algorithm for fast computation in 3D audio systems
ITEM2VEC: Neural item embedding for collaborative filtering
Electrical Impedance Tomography, Enclosure Method and Machine Learning
Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems
Enhanced SMART framework for gene clustering using successive processing
Un outil de visualisation de classifications et d'intégration de données phénotypiques et génétiques pour faciliter le codage des maladies rares
Utilisation des techniques de modélisation des connaissances pour la comparaison de recommandations de pratique clinique: application à la prise en charge de l'hypertension
Intégration des données de prescription dans un entrepôt de données biomédicales
Transition vers la mobilité dans le monde médical : n'oubliez pas l'utilisabilité
Usage secondaire du dossier médical informatisé à des fins épidémiologiques et d'évaluation de la qualité des soins : le projet SYNODOS
Les technologies de l'information et de la communication (TIC) et la promotion de la santé sexuelle auprès des adolescents et jeunes adultes : au-delà de l'efficacité
Recommandations de pratique clinique sous la forme d'un document textuel et d'un système d'aide à la décision : une expérience de production et diffusion simultanées des deux types de format pour la prise en charge du diabète de type 2
Protection des données de santé lors de leur réutilisation à des fins de recherche au sein des entrepôts de données biomédicaux (EDBM)
La satisfaction des utilisateurs des Systèmes d'Information Clinique du Groupe Hospitalier Paris Ouest (HUPO)
Moteur de recherche sémantique au sein du dossier du patient informatisé : langage de requêtes spécifique
Enrichissement sémantique associé à la détection de la négation et des antécédents familiaux dans un entrepôt de données hospitalier
Indicateurs en biologie et en imagerie au sein des systèmes d'information de santé
Actes des / Proceedings of 15es Journées francophones d'informatique médicale co-organisées avec / co-located with 2e Congrès National d'Informatique Médicale (CNIM 2014), Fes, Morocco, June 12th-13th, 2014
Importance de la caractérisation des situations de travail dans l'évaluation de l'impact des Systèmes d'Information en Santé
Avantages, effets et préoccupations reliés au dossier de santé personnel électronique (DSPé) : Une mise à jour de la littérature
Terminologies et référentiels d'interopérabilité sémantique en Santé
Place de la technologie Smartphone en santé mentale
Mondialisation de la Télémédecine: utopie ou instrument d'équité ?
Mapping de terminologies diagnostiques en cancérologie par l'intermédiaire du NCI Metathesaurus
La participation des usagers aux processus de mise en œuvre des programmes de télésanté pour favoriser l'adoption et l'utilisation des services : Une revue de littérature
Proceedings of 2010 ICSE Workshop on Search-driven Development: Users, Infrastructure, Tools and Evaluation, SUITE '10, Cape Town, South Africa, May 1, 2010
Towards integrating e-mail communication in the IDE
Facilitating the comparison of software retrieval systems through a reference reuse collection
Searching across paths
Enhancing static source code search with dynamic data
Searching API usage examples in code repositories with sourcerer API search
Behavior model based component search: an initial assessment
Fostering synergies: how semantic web technology could influence software repositories
Searching and using external types in an extensible software development environment
More archetypal usage scenarios for software search engines
A trustability metric for code search based on developer karma
Immediate search in the IDE as an example of socio-technical congruence in search-driven development
Towards query formulation and visualization of structural search results
Using gamification to incentivize sustainable urban mobility
Evaluating the resilience of the bottom-up method used to detect and benchmark the smartness of university campuses
Improving the Physical Layer Security of the Internet of Things (IoT)
Administrative burdens evaluation: A smart perspective in the Province of Trento
Energy storage system for grid connection and island operation
Congestion Potential - A New Way to Analyze Public Transportation based on Complex Networks
Coupling building thermal network and control system, the first step to smart buildings
Analyzing Criminal Macrocauses on Intentional Lethal Violent Crimes: An Unsupervised Learning Approach for Smart City Initiatives
A Typical Buildings Approach to Modelling Urban Energy Systems
Next generation zero-power RFID-tag for UWB pervasive identification
Enhancing Trust-based Data Analytics for Forecasting Social Harm
BIT: A Blockchain Integrated Time Banking System for Community Exchange Economy
HERMES: GS1-based Smart City Service Intercommunity
The Claimed Functions of A Thyristor Voltage and Power Regulator Research
Direct Against Indirect Short-Term Net Load Forecasting Using Machine Learning Principles for Renewable Microgrids
Fire Detection Automation in Search Drones Using a Modified DeepLabv3+ Approach
Using Smart Meter Data to Estimate Demand Reductions from Residential Direct Load Control Programs
Optimal Regulation of Prosumers and Consumers in Smart Energy Communities
Digital Twin application on next-generation Building Energy Performance Certification scheme
Block-based realtime big-data processing for smart cities
Preserving prosumer privacy in a district level smart grid
Toward Semi-Automated Role Mapping for IoT Systems in Smart Cities
A privacy preserving approach to energy theft detection in smart grids
Effect of car driving on quality of life for aged people
Orthus: A Blockchain Platform for Smart Cities
Epsilon Futuristic Virtual User Environment
Towards a Refined Conceptual Framework Model for a Smart and Sustainable City Assessment
Predictive GPU-based ADAS Management in Energy-Conscious Smart Cities
On Performance Analysis of IEEE 802.22 PHY for Cognitive Radio based Smart Grid Communications
Ubiquitous monitoring of human sunlight exposure in cities
Methodology for the development of a scalable module based on a Smart Campus approach to transform a traditional library into a smart library through Indicators and planning of projects
Chemical Analysis Tools for Rapid Determination of Postmortem Interval On-Site: Application of Smart City Principles to Forensic Science
Understanding the reliability of localized near future weather data for building performance prediction in the UK
A big data analytics system to analyze citizens' perception of security
An Overview of the Learning Capability and Adaptability of a Digital Consulting Assistant in WordPress CMS for the Smart City Domain
Optimisation of geofencing for mobility solutions in smart cities
Vulnerability Analysis of the Urban Transport System in the Context of Smart Cities
Embracing Artificial Intelligence in Higher Education: Opportunities and Challenges for a South African University of Technology
A framework for multi-stage ML-based electricity demand forecasting
Cost Efficient Application Placement for Smart Public Transportation
A Secure OTA Approach For Flexible Operation of Emergency Detection Units in Smart Cities
FindMySpace: A Cost Effective Carbon Reduction Solution for Parking
Flexible Boundary Design for a Chattanooga Microgrid Powered by Landfill Solar Photovoltaic and Battery Storage
When Circular Economy Meets the Smart City Ecosystem: Defining the Smart and Circular City
Simulation of Gamification Elements to Promote Carpooling in a Closed Community
Design and Implementation of a Solar Off-Grid Container Home
DVB-S Based Passive Radar as Single Node of Low-Cost Sensor Network for Smart City Protection
A Predictive Service for Highway Hotspot Policing
Modeling the Impact of Pedestrianization on Urban Air Quality
IoT-Based Dynamic Map Attributes for Connected and Autonomous Vehicles
Application platforms for smart cities
Capturing the Behaviour of Volunteer Pedestrians in a Newly-Developed University Campus Using a Distributed Array of Bluetooth Low Energy Devices
Auction model for mass customization of logistics
Agent-Based Decentralized Energy Management of EV Charging Station with Solar Photovoltaics via Multi-Agent Reinforcement Learning
Short-Term PV Output Forecasts with Support Vector Regression Optimized by Cuckoo Search and Differential Evolution Algorithms
Parallel Operation of an Active Rectifier and a DC/DC Converter
Opportunities and Challenges in Landfill Mining Business in Thailand in the Government Agencies' View Point
Towards enabling privacy preserving smart city apps
Micro-interventions in urban transportation from pattern discovery on the flow of passengers and on the bus network
Exploring the Attack Surfaces in Blockchain Enabled Smart Cities
An Adaptive Momentum Driven Variable Step-Size Filtered-X Weight Accumulated LMS for Improved HNANC
Government Approaches to Requirements Gathering in Smart Cities: Lessons Learned for Southeast Asia
Proposal of a Methodology for Urban Continual Improvement with Smart Cities Integrated Solutions & Technologies
An ontological framework to support evidence-based policy making using global city indicators
Efficient and Secure Communications in Smart Cities using Edge, Caching, and Blockchain
Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments
Using Accelerometers in Mobile Phones to Estimate Blood Alcohol Levels
Evolution of autograph signature to advanced electronic signature in smart cities environment
A Comprehensive Review of Battery Energy Storage Systems for Grid Stability and Renewable Integration: A Focus on Lithium-Ion's Grid Batteries in Thailand
Enhancing Soft Target Protection in Smart Cities: Comparing Stakeholder and Citizen Perspectives
Bringing human perception to validate weather measurements in Smart City: Human-Techno Centric Approach
Integrated Energy Management System and Optimization in Smart Grids: Case of Smart Campus in Thailand
Improving Nursing Educational Practices and Professional Development through Smart Education in Smart Cities: A Systematic Literature Review
GAQ-EBkSP: A DRL-based Urban Traffic Dynamic Rerouting Framework using Fog-Cloud Architecture
Effects of Body Occlusion on Bluetooth Low Energy RSSI in Identifying Close Proximity of Pedestrians in Outdoor Environments
Impact of Distributed Routing of Intelligent Vehicles on Urban Traffic
Understanding Twitter Telehealth Communication during the COVID-19 Pandemic using Hetero-Functional Graph Theory
Developing Smart City in the New Capital of Indonesia
An Effective Dynamic Spectrum Access based Network Architecture for Smart Cities
A blockchain framework for smart mobility
City4Age: Smart cities for health prevention
Progressive energy retrofit for the educational building stock in a smart city
Digital Twin of Road and Bridge Construction Monitoring and Maintenance
Development of Hybrid Photovoltaic-based Nanogrids for the Energy Rehabilitation of Public Buildings: The BERLIN Project
Redesigning Patient Flow in Paediatric Eye Clinic For Pandemic Using Simulation
Smart City as a Place to Pray
Facial Emotion Recognition in Smart Education Systems: A Review
Drone Pollution Tracking in Cities Using Recurrent Proximal Policy Optimization Learning
Using augmented reality in urban context: Georeferenced system for business localization using Google Glass
Towards a Methodology for the Characterization of IoT Data Sets of the Smart Building Sector
A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings
Sub-Gigahertz Inter-Technology Interference. How Harmful is it for LoRa?
From cloud computing to fog computing: two technologies to serve iot-a review-
Visualization of Real-Time Heterogeneous Smart City Data Using Virtual Reality
Enhanced Communication Support for Aphasia Using Gesture Recognition: The Bedroom Scenario
Modeling Threat of Leaking Private Keys from Air-Gapped Blockchain Wallets
Smart City Governance and the challenge of digital platforms within the public sector
Walkshops for Citizen Involvement: Walk the Talk with Smart City Citizens