yusuke1997/dblp-id-title huggingface dataset:
Image restoration from a sequence of random masks
Denoising, deblurring, and superresoluton in mobile phones
Image denoising via fundamental anisotropic diffusion and wavelet shrinkage: a comparative study
Top Down Approach to Height Histogram Estimation of Biomass Sorghum in the Field
Square Coded Aperture: A Large Aperture With Extended Depth Of Field
Automatic image assessment from facial attributes
A hybrid approach to imaging and anomaly characterization from dual energy CT data
Image reconstruction using projections from a few views by discrete steering combined with DART
An expectation maximization solution for fusing 2D and 3D ladar data
Computational Imaging XIII, part of the IS&T-SPIE Electronic Imaging Symposium, San Francisco, California, USA, February 10-11, 2015, Proceedings
Empirical evaluation of dissimilarity measures for use in urban structural damage detection
Graph-based 3D object classification
Gradient Enhanced Image Pyramid for Improved Nonlinear Image Registration
An information theoretic trackability measure
A super-resolution algorithm for enhancement of FLASH LIDAR data
Randomized group testing for acoustic source localization
Computational Imaging, Santa Clara, CA, USA, January 20, 2003
Model-Based Bayesian Deep Learning Architecture for Linear Inverse Problems in Computational Imaging
Adaptation of fast marching methods to intracellular signaling
New methods for fMRI data processing based on locally linear embeddings
Regularized image registration with line search optimization
Results in non-iterative MAP reconstruction for optical tomography
An improved raw image enhancement algorithm using a statistical model for pixel value error
Image interpolation using multiscale geometric representations
Resolution and interpolation of multichannel long wave infrared camera data
Several approaches to solve the rotation illusion with wheel effect
Edge-preserving total variation regularization for dual-energy CT images
Optical touch sensing: practical bounds for design and performance
A super-resolution algorithm for enhancement of flash lidar data: flight test results
Automatic loop closure detection using multiple cameras for 3D indoor localization
Efficient occlusion reasoning for articulated tracking in monocular views
Regularization model of human binocular vision
Development of screening echocardiogram for detection of asymptomatic left ventricular dysfunction
Autocorrelation-based, passive, non-contact, photoplethysmography: Computationally-efficient, noise-tolerant, extraction of heart rates from video
FiveNet: Joint image demosaicing, denoising, deblurring, super-resolution, and clarity enhancement
Front Matter: Volume 9020
Elastic surface registration by parameterization optimization in spectral space
Dantzig selector homotopy with dynamic measurements
Transfer learning for no-reference image quality metrics using large temporary image sets
Bayesian edge-preserving color image reconstruction from color filter array data
Ultrasound elasticity reconstruction with inaccurate forward model using integrated data-driven correction of data-fidelity gradient
Superresolution with the focused plenoptic camera
Non-homogeneous updates for the iterative coordinate descent algorithm
Model selection in cognitive science as an inverse problem
Fast joint estimation of local magnitude, decay, and frequency from single-shot MRI
Enhancing Nuclear Resonance Fluorescence with Coded Aperture for Security Based Imaging
Mobile image based color correction using deblurring
Blind deconvolution of depth-of-field limited full-field lidar data by determination of focal parameters
Accurate measurement of charge density in nanoscale particles using an aperture optimization of Fourier based phase reconstruction
Illumination modelling and optimization for indoor video surveillance
Real-time computational camera system for high-sensitivity imaging by using combined long/short exposure
Band reduction for hyperspectral imagery processing
An image decomposition model using the total variation and the infinity Laplacian
Study of recognizing human motion observed from an arbitrary viewpoint based on decomposition of a tensor containing multiple view motions
Computer simulation of light scattering and propagation in the imaging process of biological confocal microscopy
Passive imaging with cross correlations in a discrete random medium
A Dataset for Deep Image Deblurring Aided by Inertial Sensor Data
Computational 3D reconstructions by optimization for cryo-electron microscopy
Numerical observer for cardiac motion assessment
Scale-invariant representation of light field images for object recognition and tracking
Color correction with edge preserving and minimal SNR decrease using multi-layer decomposition
Advanced prior modeling for 3D bright field electron tomography
Improving Video-Based Heart Rate Estimation
Reconstruction of compressively sampled ray space by using DCT basis and statistically weighted L1 norm optimization
Sparsity regularization for image reconstruction with Poisson data
Webcam classification using simple features
Nonlinear image restoration methods for marker extraction in 3D fluorescent microscopy
Through the windshield driver recognition
High-resolution image reconstruction for PET using estimated detector response functions
3D quantitative microwave imaging from sparsely measured data with Huber regularization
Color feature and density-based image mosaicing using repeated application of the ICP algorithm
Computational Imaging X, part of the IS&T-SPIE Electronic Imaging Symposium, Burlingame, California, USA, January 23-24, 2012, Proceedings
Ray casting approach for boundary extraction and Fourier shape descriptor characterization
Sky Segmentation for Enhanced Depth Reconstruction and Bokeh Rendering with Efficient Architectures
A viewing direction control camera without mechanical motion based on computational imaging
LCAV-31: a dataset for light field object recognition
Analysis of the practical coverage of uniform motions to approximate real camera shakes
The human sclera and pupil as the calibration targets
Petapixel photography and the limits of camera information capacity
Efficient volumetric estimation from plenoptic data
Sparse Data 3-D X-ray reconstructions on GPU processors
Mixing geometric and radiometric features for change classification
Demosaicing for RGBZ sensor
Contour-based image mosaicking in the presence of moving objects
Use of secondary equivalent sources for solving electrical resistance inverse problems
Ethical by Design: Ethics Best Practices for Natural Language Processing
On the Utility of Lay Summaries and AI Safety Disclosures: Toward Robust, Open Research Oversight
A Quantitative Study of Data in the NLP community
Gender as a Variable in Natural-Language Processing: Ethical Considerations
These are not the Stereotypes You are Looking For: Bias and Fairness in Authorial Gender Attribution
Building Better Open-Source Tools to Support Fairness in Automated Scoring
Ethical Considerations in NLP Shared Tasks
Goal-Oriented Design for Ethical Machine Learning and NLP
Social Bias in Elicited Natural Language Inferences
Proceedings of the Second ACL Workshop on Ethics in Natural Language Processing, EthNLP@NAACL-HLT 2018, New Orleans, Louisiana, USA, June 5, 2018
Say the Right Thing Right: Ethics Issues in Natural Language Generation Systems
A Short Review of Ethical Challenges in Clinical Natural Language Processing
Ethical Research Protocols for Social Media Health Research
Proceedings of the First ACL Workshop on Ethics in Natural Language Processing, EthNLP@EACL, Valencia, Spain, April 4, 2017
#MeToo Alexa: How Conversational Systems Respond to Sexual Harassment
Gender and Dialect Bias in YouTube's Automatic Captions
Integrating the Management of Personal Data Protection and Open Science with Research Ethics
Relatively free relation algebras
Continuations of logic programs
Dynamic algebras as a well-behaved fragment of relation algebras
The resolution rule: an algebraic perspective
The abstract Galois theory: a survey
Other logics for (equational) theories
Incremental models of updating data bases
All recursive types defined using products and sums can be implemented using pointers
On cylindric algebraic model theory
On the "lambda"-definable tree operations
Noncommutative cylindric algebras and relativizations of cylindric algebras
The value of free algebras
Algebraic Logic and Universal Algebra in Computer Science, Conference, Ames, Iowa, USA, June 1-4, 1988, Proceedings
The implications in conditional logic
Optimal semantics of data type extensions
Beth's and Craig's properties via epimorphisms and amalgamation in algebraic logic
Mal'cev algebras for universal algebra terms
Synthetic Data in AI Development: Ensuring Data Protection and Ethics
A Novel Assurance Procedure for Fair Data Augmentation in Machine Learning
Proceedings of the First Workshop on Implementing AI Ethics through a Behavioural Lens (AIEB 2024) co-located with 26th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 19, 2024
ReSGrAL: Fairness-Sensitive Active Learning
Closing the Gaps: Proposals for Enhancing the EU Artificial Intelligence Act
Ethical AI Governance: Methods for Evaluating Trustworthiness
Framework for Developing and Evaluating Ethical Collaboration Between Expert and Machine
Explaining Learned Reward Functions with Counterfactual Trajectories
Neural Inverse Optimal Control Applied to Quadrotor UAV
A methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery
Application of PSO-based clustering algorithms on educational databases
Boolean Binary Grey Wolf Optimizer
Language-focused Deepfake Detection Using Phonemes, Mouth Movements, and Video Features
Method of pruning the hidden layer of the extreme learning machine based on correlation coefficient
Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series
Energy management within a non-autonomous microgrid through a tertiary controller
Does Kaizen Programming need a physic-informed mechanism to improve the search?
Human action recognition with 3D convolutional neural network
An Approach for Analysing Law Processes based on Hierarchical Activities and Clustering
Detection of Cavities in Radiographs Using Machine Learning: Approaches for Limited Data
Safety first: Toward safe action selection with contextual affordances
Improving the estimation of parameters in induction motors using an evolutionary computation algorithm
Automatic flow signal analysis for airway secretion detection in ventilator-dependent patients with artificial immunological systems
Automatic classification of categories for Great Hobbies Inc. based on Vendor Information
Self-explanatory error checking capability for classifier-based Decision Support Systems
Non-rigid 3D shape classification based on convolutional neural networks
Extended abstract: Formal description of a pattern for a recursive process of recognition
DRQN to optimize viewpoint planning in underwater environments
An Agent-Based Model of Urban Pigeon Swarm Optimisation
Sleep-Wake Classification using Recurrence Plots from Smartwatch Accelerometer Data
Comparative Analysis of Statistical and Recurrent Neural Network Models for Short-Term River Level Forecasting in the Paraguay River
Measuring the Resilience of the Transport Infrastructure in Big Cities
Essence-Based Clustering: A multi-strategic and highly-customizable clustering approach
IVF/NSGAII: In vitro fertilization method coupled to NSGAII
Towards the Identification of Money Laundering in Bank Transactions using Recurrent Neural Networks
Evolutionary Artificial Neural Network for success forecast in Software Process Improvement
Evolutionary latent space search for driving human portrait generation
Graph Learning-based Regional Heavy Rainfall Prediction Using Low-Cost Rain Gauges
Guiding under uniformity measure in the decision space
Evaluating the Inclusion of Images with Artifacts in Medical Image Databases of Mammography for Machine Learning
A technology system for monitoring and predicting climate variables in an experimental greenhouse using IoT and Machine Learning
High-dimensional Multivariate Time Series Forecasting in IoT Applications using Embedding Non-stationary Fuzzy Time Series
Supervised learning algorithms for indoor localization fingerprinting using BLE4.0 beacons
Deep neural network for EMG signal classification of wrist position: Preliminary results
Application of machine learning models for predicting variables of industrial processes: A case study in a petrochemical industry
Better exploration-exploitation pace, better swarm: Examining the social interactions
Deep Learning on Automatic Fall Detection
RemissIA: a remission identification approach in cancer patients using machine learning ensembles
Indirect training of Gray-Box Models using LS-SVM and genetic algorithms
Synchronization of complex networks with nonidentical nodes via discrete-time neural inverse optimal pinning control
Development of a computer platform for the enrichment of cultural environments using VR and AR
Asymptotic Identification of Bifurcation Parameters in a Three-Dimensional Discrete System with Chaotic Behavior
Construction and Evaluation of a Dynamic Sign Dataset for the Colombian Sign Language
Clustering techniques applied to detection of inefficiency in electrical submersible pumps startup
Clustering of regional HDI data using Self-Organizing Maps
People Identification through Facial Recognition using Deep Learning
On the multi-stage influence maximization problem
A hybrid sequential system for inflation forecasting
A Bayesian Risk Classification System Based on Two-Stage Clustering For Flashover Occurrence In High Voltage Insulator String
Comparison of Feature Extraction Methods for Brazilian Legal Documents Clustering
Teaching agents with corrective human feedback for challenging problems
Enhancing Electronic Component Classification with Supervised Contrastive Learning: A Comparative Evaluation
Acute Respiratory Infection Time Series Forecasting Based On Natural Language Processing Models
IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024, Bogota D.C., Colombia, November 13-15, 2024
Automatic Routing of Printed Circuit Board Traces Using Ant Colony Optimization Algorithm
Foot Plant Deformation Classification System by Image Processing and Fuzzy Logic
Robotic device for mobility assistance to elderly people in urban environments
Feature Selection methods applied to Motor Imagery task classification
Comparative analysis of bioinspired algorithms for tuning a flatness-based controller: A ball and beam case study
2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), Montevideo, Uruguay, November 23-25, 2022
Autoencoder performance analysis with adaptive and trainable activation function to compress images
IEEE Latin American Conference on Computational Intelligence, LA-CCI 2021, Temuco, Chile, November 2-4, 2021
Software time estimation using regression methods
Advanced fuzzy time series applied to short term load forecasting
Shoot-Out: Exploring HyperNEAT for an optimal Final-Third Approach in Robocup-2D Soccer
Remaining Useful Life Prediction of Turbofan Engines with Fuzzy Systems
Textual Mining using Deep Learning in official journals
Extract-Transform-Load Process Leveraging Computer Vision to Enable Computer Modelling of Smart Grids
A novel feature extraction approach for skin cancer screening using active thermography
Hand Gesture Classifier Using Edge Artificial Intelligence
SPEA - MA: A social evolutionary algorithm for managing multiple transmissions
Evaluating Multi-Level Clustering Approaches to Route Sales Agents
Artificial Intelligence in Education 5.0: a methodology for three-dimensional geometric shape classification for an educational tool
ProximityRank: Who are the nearest influencers?
A Robust Approach to Detect Occlusions During Camera-Based Document Scanning
Exploring the non-linear relationship between various categories of Crimes and GDP: A case study using Generalized Additive Models
Traffic Engineering in SDN with Cultural Algorithms
Thermal comfort estimation using a neurocomputational model
Documents Retrieval for Qualitative Research: Gender Discrimination Analysis
Fault Tolerance Tool for Human and Machine Interaction & Application to Civilian Aircraft
A PSO-SVR Based Resource Allocation Approach for Network Function Virtualization
Comparison of Hand Gesture Recognition Models Combining Supervised Learning and Reinforcement Learning
Machine Learning Approach for Trend Prediction to Improve Returns on Brazilian Energy Market
Progressive Hierarchical Models for Multi-Category Image Classification
Short-Term Hand Gesture Recognition using Electromyography in the Transient State, Support Vector Machines, and Discrete Wavelet Transform
Semantic expansion to improve diversity in query formulation
Comparison of LLM Models and Strategies for Structured Query Construction from Natural Language Queries
Ensemble Learning Models Applied in Energy Time Series of a University Building
Towards a Multi-Output Kaizen Programming Algorithm
Measuring the gender discrimination: A machine learning approach
A Semi-Supervised Approach for Microseisms Classification from Cotopaxi Volcano
Comparison of PSO variants applied to large scale optimization problems
EOG Signal Analysis Based on Multi-Label Classification by Neural Network Backpropagation
Reinforcement Learning applied to the Routing and Spectrum Assignment in Elastic Optical Networks
Automatic Feature Engineering Using Self-Organizing Maps
A hybrid method using Exponential Smoothing and Gradient Boosting for electrical short-term load forecasting
A Product Recommendation System for e-Shopping
Investment Portfolio Trading based on Markov Chain and Fuzzy Logic
Leveraging Semantic Parsing using Text Embeddings and Reinforcement Learning
Early prediction of generalized infection in intensive care units from clinical data: a committee-based machine learning approach
A novel imputation method for missing values in air pollutant time series data
A methodology for enhancing data quality for classification purposes using attribute-based decision graphs
DenseNet model combined with Haralick's handcrafted features for texture classification
Evaluating PID Controller Tuning via Metaheuristics: A Comparative Case Study
A Digital Pathology application for whole-slide histopathology image analysis based on genetic algorithm and Convolutional Networks
Modelling the Social Interactions in Grey Wolf Optimizer
Towards explainable artificial intelligence for the leukemia subtype recognition
The true destination of EGO is multi-local optimization
A comparative between Mel Frequency Cepstral Coefficients (MFCC) and Inverse Mel Frequency Cepstral Coefficients (IMFCC) features for an Automatic Bird Species Recognition System
Modified bat algorithm with cauchy mutation and elite opposition-based learning
Prediction model designing of traffic accidents in Honduras using LSTM neural network : "Road safety is everyone's job."
Improvements to Dual Annealing in SciPy
Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles
Fuzzy QCA applicability for a refined selection of drivers affecting IS adoption: The case for Ecuador
Latent semantic indexing and convolutional neural network for multi-label and multi-class text classification
Time-series prediction with BEMCA approach: Application to short rainfall series
Exploring Lip Segmentation Techniques in Computer Vision: A Comparative Analysis
Improving volcanic event recognition through new seismic signals representation
Neural Sliding Mode Block Control of Single-Phase Induction Motors
Re-purposing Machine Learning Models: A Human Action Recognition Model Turned Violence Detector
Virtual Network Allocation (SDN) in Cloud Computing Using Evolutionary Algorithm
Characterization of climatological time series using autoencoders
A Model for Selecting Relevant Topics in Documents Aimed at Compliance Processes
A clustering-based deep autoencoder for one-class image classification
Real-Time Hand Gesture Recognition Using the Leap Motion Controller and Machine Learning
Table Detection for Improving Accessibility of Digital Documents using a Deep Learning Approach
Fully convolutional networks for segmenting images from an embedded camera
Bayesian autoregressive spectral estimation
Impact Assessment of Memetic Operators on Communication Topologies for the PSO
Classification of Respiration Sounds Using Deep Pre-trained Audio Embeddings
Novel Image Dataset and Proposal of Framework for Visual Semantic Analysis Applied on Object Dangerousness Prediction
The Inverse Kinematics solutions for Robot Manipulators based on Firefly Algorithm
Enabling Efficient Royal Quinoa Quality Inspection via Mobile-based Foreign Body Detection
Classification of cardiovascular signals
Integrating an Educational Data Mining Framework Avatar into Moodle to Improve Student Outcome
Optimization of Deep Neural Networks for Vehicle Classification
Assessing the Effect of Urban Expansion and Deforestation on Temperature Rise in Cajazeiras, Brazil: A Data-Driven Approach
Probabilistic Multistep Time Series Forecasting Using Conditional Generative Adversarial Networks
An Unsupervised Analysis of an Alzheimer's Disease Patient Population Using Subspace Search and Hierarchical Density-Based Clustering
A Machine Learning-Based algorithm for the assessment of clinical metabolomic fingerprints in Zika virus disease
Remote sensing imagery segmentation based on multi-objective optimization algorithms
Rapid Prototyping of Neuro-Fuzzy Inverse Optimal Control as Applied to T1DM Patients
Fruit and Vegetable Information System Using Embedded Convolutional Neural Networks
An Autonomous Mobile Robot Path Planner using Spline Curves and Differential Evolution
Unorganized machines to predict hospital admissions for respiratory diseases
Artificial Vision System for Digital Inspection of Dimensional and Geometric Measurements in Closed-Loop Manufacturing Architecture
Performing Deep Recurrent Double Q-Learning for Atari Games
Analyzing Patterns of Violence Against Women in Pernambuco Using Self-Organizing Maps and Apriori Algorithm
A Comparison of Convolutional Neural Networks for RR Lyrae Light Curve Classification
EEG graph analysis for identification of ex-combatants: A machine learning approach
Fuzzy Logic for Assessing the Health of a Corn Crop within Family Farming
A comparison of Generative Adversarial Networks for image super-resolution
Optimized Fuzzy Logic Controller for a Bipedal Walking Robot
Analysis of different machine learning approaches in the context of urban mobility: a systematic review
Projecting IEEE 802.11n WLAN Networks with Cultural Algorithms for VoIP Implementation
Subset Feature Selection with Structural Variables
Sub-optimal Perceptron Controller Using WOA Algorithm for Farming Watering Mobile Robot
Identifying Process Graphs Properties with Network Science Metrics
Comparison between unipolar and bipolar electrograms for detecting rotor tip from 2D fibrillation model using image fusion. A simulation study
Improving the Binary Fish School Search Algorithm for feature selection
LSTM network for the detection of P and S waves in seismic signals from the Nevados de Chillán volcano (Chile)
Hybrid architectures based on Deep-wavelet networks for emotion recognition as a tool to support personalized therapies
Anomaly Detection in Conveyor Belt Using a Deep Learning Model
Chatbot use for pre-triage procedures: a case study at a free-service university dental clinic
Hybrid Model and Ensemble for Inflation Forecasting: A Machine Learning Approach
CNN classification subject to practical aspects of Search and Rescue UAV missions
IEEE Latin American Conference on Computational Intelligence, LA-CCI 2023, Recife, PE, Brazil, October 29 - November 1, 2023
Pedestrian detection in digital videos using committee of motion feature extractors
Learning database queries via intelligent semiotic machines
Evaluation of Multi-objective Evolutionary Algorithms for the Design of Resilient OTN over DWDM Networks