yusuke1997/dblp-id-title huggingface dataset:
Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach
A hierarchical deep learning approach for segmentation of glioblastoma tumor niches on digital histopathology
An ensemble approach for histopathological classification of vulvar cancer
Hyperspectral imaging for intraoperative diagnosis of colon cancer metastasis in a liver
Quantitative analysis of stain variability in histology slides and an algorithm for standardization
Deep positive-unlabeled learning for region of interest localization in breast tissue images
Towards automatic patient selection for chemotherapy in colorectal cancer trials
Automated glioma multiclass tumor classification
A video transformer network for thyroid cancer detection on hyperspectral histologic images
Deep learning-based automated hot-spot detection and tumor grading in human gastrointestinal neuroendocrine tumor
Joint region and nucleus segmentation for characterization of tumor infiltrating lymphocytes in breast cancer
A model of tumor architecture and spatial interactions with tumor microenvironment in breast carcinoma
Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach
Identification and characterization of neutrophil extracellular trap shapes in flow cytometry
Mitotic cells detection for HEp-2 specimen images using threshold-based evaluation scheme
Conditional generative adversarial network (cGAN) for synthesis of digital histologic images from hyperspectral images
Medical Imaging 2017: Digital Pathology, Orlando, Florida, United States, 11-16 February 2017
Cloud-based platform for human-in-the-loop re-annotation of whole slide imaging: large scale semantic pathology segmentation
A comparison of histopathology imaging comprehension algorithms based on multiple instance learning
Deep learning for tissue microarray image-based outcome prediction in patients with colorectal cancer
Toward improved quantification of disease progression and treatment monitoring using dynamic or static steady-state tumor-model parameters
Integrating image analysis with single cell RNA-seq data to study podocyte-specific changes in diabetic kidney disease
Comparison study of five different display modalities for whole slide images in surgical pathology and cytopathology in Europe
Identifying lung imaging biomarkers of BCG vaccination after infection with Mycobacterium tuberculosis
A circumscribing active contour model for delineation of nuclei and membranes of megakaryocytes in bone marrow trephine biopsy images
Space-filling curves for modeling spatial context in transformer-based whole slide image classification
Panning artifacts in digital pathology images
Deep neural network for cell type differentiation in myelodysplastic syndrome diagnosis performs similarly when trained on compensated or uncompensated data
Automated detection and quantification of Wilms' Tumor 1-positive cells in murine diabetic kidney disease
PColorNet: investigating the impact of different color spaces for pathological image classification
Self-supervised learning with large-scale web image mining for characterizing glomerular lesions
Classification of breast cancer stroma as a tool for prognosis
A generic nuclei detection method for histopathological breast images
Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology
Graph convolutional networks for region of interest classification in breast histopathology
Uncertainty in the assessment of immunohistochemical staining with optical and digital microscopy: lessons from a reader study
Tumor proliferation assessment of whole slide images
Automatic evaluation of skin histopathological images for melanocytic features
An accelerated pipeline for multi-label renal pathology image segmentation at the whole slide image level
Perceptual uniformity of commonly used color spaces
Single-cell gene expression prediction using H&E images based on spatial transcriptomics
Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining
Prediction of tumour mutational burden of squamous cell carcinoma using histopathology images of surgical specimens
Automatic cell detection and segmentation from H and E stained pathology slides using colorspace decorrelation stretching
Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens
3D prostate histology reconstruction: an evaluation of image-based and fiducial-based algorithms
Offset-sparsity decomposition for enhancement of color microscopic image of stained specimen in histopathology: further results
An adaptive algorithm for detection of multiple-type, positively stained nuclei in IHC images with minimal prior information: application to OLIG2 staining gliomas
Ki67 proliferation index quantification using silver standard masks
Content-based white blood cell retrieval on bright-field pathology images
A fast method for approximate registration of whole-slide images of serial sections using local curvature
Marked point processes with simple and complex shape objects for cell nuclei extraction from breast cancer H&E images
Adaptive whole slide tissue segmentation to handle inter-slide tissue variability
Type II fuzzy systems for amyloid plaque segmentation in transgenic mouse brains for Alzheimer's disease quantification
Preserving dense features for Ki67 nuclei detection
Registration accuracy between whole slide images and glass slides in eeDAP workflow
Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images
Data-efficient and multimodal computational pathology
Approximate explicit feature map for computational augmentation of RGB images of hematoxylin and eosin stained histopathological specimens
Medical Imaging 2015: Digital Pathology, Orlando, Florida, United States, 21-26 February 2015
Automated wholeslide analysis of multiplex-brightfield IHC images for cancer cells and carcinoma-associated fibroblasts
An accurate method of extracting fat droplets in liver images for quantitative evaluation
A multi-scale conditional deep model for tumor cell ratio counting
Applications of QCL mid-IR imaging to the advancement of pathology
A four class model for digital breast histopathology using high-definition Fourier transform infrared (FT-IR) spectroscopic imaging
A transformer-based computational approach for H&E to multiplexed immunohistochemistry stain translation
Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and deep learning
High-definition Fourier transform infrared spectroscopic imaging of breast tissue
A computational study on convolutional feature combination strategies for grade classification in colon cancer using fluorescence microscopy data
A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy
Lymphoma diagnosis in histopathology using a multi-stage visual learning approach
Reproducibility in deep learning algorithms for digital pathology applications: a case study using the CAMELYON16 datasets
Dynamically constrained pipeline for tracking neural progenitor cells
Biopsy and surgical specimen specific deep learning models for prostate cancer detection on digitized pathology images
Role of training data variability on classifier performance and generalizability
Front Matter: Volume 9041
Discovering correspondences between molecular profiles and morphological features via deep learning (Conference Presentation)
Persistent homology for the automatic classification of prostate cancer aggressiveness in histopathology images
Automated detection of prostate cancer in digitized whole-slide images of H and E-stained biopsy specimens
Automated epidermis segmentation in histopathological images of human skin stained with hematoxylin and eosin
Domain-adversarial neural network for improved generalization performance of Gleason grade classification
Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging
Predicting MYC translocation in HE specimens of diffuse large B-cell lymphoma through deep learning
Automated robust registration of grossly misregistered whole-slide images with varying stains
Detection of high-grade atypia nuclei in breast cancer imaging
Feature-enhancing zoom to facilitate Ki-67 hot spot detection
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning
Simple patch-wise transformations serve as a mechanism for slide-level augmentation for multiple instance learning applications
Detection of lung cancer metastases in lymph nodes using a multiple instance learning approach
Toward digital staining using stimulated Raman scattering and statistical machine learning
Generalization of tumor identification algorithms
Self-supervised deep learning to predict molecular markers from routine histopathology slides for high-grade glioma tumors
Hotspot detection in pancreatic neuroendocrine images using local depth
Probabilistic modelling of diabetic nephropathy progression
Searching patterns in glands for predicting gastric cancer survival
Generating simulated fluorescence images for enhancing proteins from optical microscopy images of cells using massive-training artificial neural networks
Bladder cancer organoid image analysis: textured-based grading
Color model comparative analysis for breast cancer diagnosis using H and E stained images
A pathomic study for risk stratification and unraveling molecular associations of different histologic subtypes of papillary thyroid cancer
Novel chromatin texture features for the classification of pap smears
Deep learning-enabled classification of gastric ulcers from wireless capsule endoscopic images
Hierarchical patch-based co-registration of differently stained histopathology slides
Breast histopathology using random decision forests-based classification of infrared spectroscopic imaging data
Category feature reconstruction for pathological image segmentation
Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images
Preliminary evaluation of a fully automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysis
Automated cancer stem cell recognition in H and E stained tissue using convolutional neural networks and color deconvolution
Multifocal optical metasurfaces for cellular-resolution optical coherence tomography for rapid slide-free histology of human brain and skin samples
Digital pathology whole slide image compression with vector quantized variational autoencoders
Accurate pathological patch classification with regression
Analysis of the spatial distribution of prostate cancer obtained from histopathological images
Leveraging unsupervised training sets for multi-scale compartmentalization in renal pathology
Classification of glioblastoma and metastasis for neuropathology intraoperative diagnosis: a multi-resolution textural approach to model the background
Spatial connectivity of tumor and associated cells (SpaCell): a novel computational pathology biomarker
Automated reference kidney histomorphometry using a panoptic segmentation neural network correlates to patient demographics and creatinine
Computer extracted features of tumor-infiltrating lymphocytes (TILs) architecture are prognostic of progression-free survival in stage III colon cancer
Leveraging Instrumental Variables in Online Advertising Auctions : Robust Click-Through-Rate Prediction
Pay-per-action model for online advertising
Extracting opinion topics for Chinese opinions using dependence grammar
From TV to online advertising: recent experience from the Spanish media
Staging E-Commerce Products for Online Advertising using Retrieval Assisted Image Generation
Online effects of offline ads
RankTower: A Synergistic Framework for Enhancing Two-Tower Pre-Ranking Model
Scaling Generative Pre-training for User Ad Activity Sequences
Sensitive webpage classification for content advertising
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2024) co-located with the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Barcelona, Spain, August 25, 2024
Sponsored ad-based similarity: an approach to mining collective advertiser intelligence
A noisy-channel approach to contextual advertising
Sentiment classification with interpolated information diffusion kernels
Practical Budget Pacing Algorithms and Simulation Test Bed for eBay Marketplace Sponsored Search
An empirical analysis of return on investment maximization in sponsored search auctions
Multi-objective optimization for sponsored search
Proceedings of the Seventh International Workshop on Data Mining for Online Advertising, ADKDD '13, Chicago, Illinois, USA, August 11, 2013
CTR prediction for contextual advertising: learning-to-rank approach
TSum: fast, principled table summarization
Discovering information diffusion paths from blogosphere for online advertising
Dynamic ad layout revenue optimization for display advertising
Optimizing Hierarchical Queries for the Attribution Reporting API
Audience segment expansion using distributed in-database k-means clustering
AFA: Auto-tuning Filters for Ads
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2023) co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, August 7, 2023
Using boosted trees for click-through rate prediction for sponsored search
Real time bid optimization with smooth budget delivery in online advertising
Marketing campaign evaluation in targeted display advertising
Training Differentially Private Ad Prediction Models With Semi-Sensitive Features
Causally motivated attribution for online advertising
More bang for their bucks: assessing new features for online advertisers
Discovering patterns of advertisement propagation in Sina-Microblog
Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking
A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second
An algorithm for analyzing personalized online commercial intention
Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising, ADKDD '07, San Jose, California, USA, August 12, 2007
The economics of attention: maximizing user value in information-rich environments
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction
Real-time bidding for online advertising: measurement and analysis
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter
Proceedings of the 2nd International Workshop on Data Mining and Audience Intelligence for Advertising, ADKDD '08, Las Vegas, Nevada, USA, August 24, 2008
Augmented Two-Stage Bandit Framework: Practical Approaches for Improved Online Ad Selection
Consistent phrase relevance measures
Finding keyword from online broadcasting content for targeted advertising
Variable selection for ad prediction
SERP Interference Network and Its Applications in Search Advertising
Have your cake and eat it too!: preserving privacy while achieving high behavioral targeting performance
Social TV: real-time social media response to TV advertising
Measuring dynamic effects of display advertising in the absence of user tracking information
Comparing performance metrics in organic search with sponsored search advertising
Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy, AdKDD '12, Beijing, China, August 12-16, 2012
Using Social Group Trajectories for Potential Impersonation Detection on Smart Buildings Access Control
Aroeira: A Curated Corpus for the Portuguese Language with a Large Number of Tokens
A Dynamic Gesture Recognition System to Translate between Sign Languages in Complex Backgrounds
Heuristic Solutions for the 2D Bin-Packing Problem with Varied Size
An Ontological Approach to the Three-Phase Method of Imposing Penalties in the Brazilian Criminal Code
Particle Swarm Intelligence as Feature Selector in Ensemble Systems
The BinOvNMTF Algorithm: Overlapping Columns Co-clustering Based on Non-negative Matrix Tri-factorization
Towards Practical Argumentation in Multi-agent Systems
Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes
A Co-occurrence Based Approach for Mining Overlapped Co-clusters in Binary Data
Time Series Forecasting of COVID-19 Cases in Brazil with GNN and Mobility Networks
Interpreting Convolutional Neural Networks for Brain Tumor Classification: An Explainable Artificial Intelligence Approach
Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning
A Comparison of Crossover Operators Applied to the Vehicle Routing Problem with Time Window
Investigating the Impact of Similarity Metrics in an Unsupervised-Based Feature Selection Method
Authorship Attribution via Network Motifs Identification
Co-MLM: A SSL Algorithm Based on the Minimal Learning Machine
Artificial Intelligence, Algorithmic Transparency and Public Policies: The Case of Facial Recognition Technologies in the Public Transportation System of Large Brazilian Municipalities
Intelligent Systems - 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 - December 3, 2021, Proceedings, Part II
Bidirectional Mean Distance Estimation: A New Gap filling Method
A Case Study on Water Demand Forecasting in a Coastal Tourist City
Fusion Approaches of Feature Selection Algorithms for Classification Problems
Explicit Representation of Planning Autonomy in MOISE Organizational Model
Experimental Evaluation of Crowdsourcing on the Characterization of Data Visualization Techniques
When External Knowledge Does Not Aggregate in Named Entity Recognition
A Random Keys Genetic Algorithm Approach for Reconfiguration Problem in Distribution Power Networks
A Comparative Study of Group Profiling Techniques in Co-authorship Networks
Desire: A Dynamic Approach for Exploratory Search Results Recommendation
HEACT: Hybrid Evolutionary Algorithm for the Multi-region Multi-objective Cloud Task Scheduling Problem. A Study of Workflow Scheduling in AWS EC2
Open Information Extraction Based on Lexical-Syntactic Patterns
Risk Sensitive Stochastic Shortest Path and LogSumExp: From Theory to Practice
A Novel Genetic Algorithm Approach for Discriminative Subspace Optimization
The Multi-attribute Fairer Cover Problem
Tuning Hypothesis Creation: Combining Discrete and Continuous Spaces for Zero-Shot Hate Speech Detection
Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets
An Empirical Evaluation of Two Novel Linkage Criteria for Hierarchical Agglomerative Clustering
Scalable Fast Evolutionary k-Means Clustering
Crop Row Line Detection with Auxiliary Segmentation Task
Fusion of Local Descriptors for Multi-view Facial Expression Recognition
How Difficult is the Adaptation of POS Taggers?
Machine Learning and Time Series Analysis to Forecast Hotel Room Prices
A Novel Procedure for Classification of Early Human Actions from EEG Signals
Comparing Contextual Embeddings for Semantic Textual Similarity in Portuguese
An Accurate Gaussian Process-Based Early Warning System for Dengue Fever
An Enhanced TSP-Based Approach for Active Debris Removal Mission Planning
Anomalies Diagnostic in Endoscopic Images Using Deep Learning Ensemble Models
Solving Sokoban Optimally with Domain-Dependent Move Pruning
Pre-trained Data Augmentation for Text Classification
A Hybrid Binary Multi-objective Particle Swarm Optimization with Local Search for Test Case Selection
Improved Multilevel Algorithm to Detect Communities in Flight Networks
Detecting Fake Suppliers using Deep Image Features
A Study of Biclustering Coherence Measures for Gene Expression Data
Intelligent Systems - 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024, Proceedings, Part III
Evolutionary Algorithms with Constraint Handling for the Hydroelectric Dispatch Planning
Building Ensembles with Classifier Selection Using Self-Organizing Maps
Clinical Oncology Textual Notes Analysis Using Machine Learning and Deep Learning
A Strategy to Solve MaOPs with Multiple Swarms Based on Broadcast Communication
Deployment of IBM Federated Learning Platform and Aggregation Algorithm Comparison: A Case Study Using the MNIST Dataset
Predicting the Evolution of COVID-19 Cases and Deaths Through a Correlations-Based Temporal Network
A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads
Evaluating Topic Models in Portuguese Political Comments About Bills from Brazil's Chamber of Deputies
Online Local Boosting: Improving Performance in Online Decision Trees
Exploring Resources for Sentiment Analysis in Portuguese Language
Exploring Climatic Shifts in Brazilian Climates: Insights from ARMAX, Decision Trees, and Artificial Neural Networks
Hybrid Multilevel Explanation: A New Approach for Explaining Regression Models
Analyzing Limited Size Archivers of Multi-objective Optimizers
An Unsupervised Particle Swarm Optimization Approach for Opinion Clustering
Intelligent Systems - 12th Brazilian Conference, BRACIS 2023, Belo Horizonte, Brazil, September 25-29, 2023, Proceedings, Part III
Ensemble of CNNs for Enhanced Leukocyte Classification in Acute Myeloid Leukemia Diagnosis
A Comparative Study on Automatic Model and Hyper-Parameter Selection in Classifier Ensembles
An Improved Logic-Based Implementation to Ontology Assessment
Evaluating a Multi-objective Hyper-Heuristic for the Integration and Test Order Problem
A GPU-Based Hybrid jDE Algorithm Applied to the 2D-AB Protein Structure Prediction Problem
Fault Detection in Hard Disk Drives Based on Mixture of Gaussians
Impact of Pre-training Datasets on Human Activity Recognition with Contrastive Predictive Coding
Label Expansion for Multi-label Classification
Human Identification Based on Gait and Soft Biometrics
The Future of AI: Neat or Scruffy?
A Method to Detect Boats in Images of the Amazonian Rivers
A Proposal for Tuning the Alpha Parameter in a Copula Function Applied in Fuzzy Rule-Based Classification Systems
Cross-validation Strategies for Balanced and Imbalanced Datasets
A Comparative Study on Concept Drift Detectors for Regression
SAT and MaxSAT Encodings for Trees Applied to the Steiner Tree Problem
Meta-Data Construction for Selection of Breast Tissue Biopsy Slides Image Classifier to Identify Ductal Carcinoma
Explainable Machine Learning for Breast Cancer Diagnosis
Evaluating Contextualized Embeddings for Topic Modeling in Public Bidding Domain
Evaluating One-Class Classifiers for Fault Detection in Hard Disk Drives
An Urban Pigeon-Inspired Optimiser for Unconstrained Continuous Domains
Proactive Security: Embedded AI Solution for Violent and Abusive Speech Recognition
A Heterogeneous Distributed Approach for Many-Objective Optimization
Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback
Pill Image Classification using Machine Learning
Neural Networks for Hierarchical Classification of G-Protein Coupled Receptors
Transfer Learning for Bayesian Networks with Application on Hard Disk Drives Failure Prediction
A Novel Continuous-Valued Quaternionic Hopfield Neural Network
The Influence of Sampling on Imbalanced Data Classification
Enhancing Graph Data Quality by Leveraging Heterogeneous Node Features and Embeddings
Process Mining Discovery Techniques in a Low-Structured Process Works?
The Impact of Double Transfer Learning in VGG Architectures for Metastasis Breast Cancer Detection
Controlling Gene Regulatory Networks with FQI-SARSA
Multiobjective Evolutionary Algorithms Applied to the Optimization of Expanded Genetic Codes
Occluded Face In-painting Using Generative Adversarial Networks - A Review
Physicochemical Properties for Promoter Classification
ASPIC ? and the Postulates of Non-interference and Crash-Resistance