yusuke1997/dblp-id-title huggingface dataset:
FramedTruth: A Frame-Based Model Utilising Large Language Models for Misinformation Detection
SMAC - Dataflow and Storage Modeling for Remote Personnel Identification in Restricted Areas
Mining for Mining - Application of Data Mining Tools for Coal Postprocessing Modelling
Identifying User Intents in Vietnamese Spoken Language Commands and Its Application in Smart Mobile Voice Interaction
Controllability and Minimum Energy Control Problem of Infinite Dimensional Fractional Discrete-Time Systems with Delays
The Vector Space Models for Finding Co-occurrence Names as Aliases in Thai Sports News
Intelligent Information and Database Systems, Second International Conference, ACIIDS, Hue City, Vietnam, March 24-26, 2010. Proceedings, Part I
A Case Study on Trust-Based Automated Blog Recommendation Making
MobiCough: Real-Time Cough Detection and Monitoring Using Low-Cost Mobile Devices
Empirical Analysis of the Relationship Between Trust and Ratings in Recommender Systems
Actual Situation and Development in Online Shopping in the Czech Republic, Visegrad Group and EU-28
A Support Vector Machine Approach to Detect Financial Statement Fraud in South Africa: A First Look
Smart Lighting Control Architecture and Benefits
A New Data Transformation and Resampling Approach for Prediction of Yield Strength of High-Entropy Alloys
Physics-Informed Discovery of State Variables in Second-Order and Hamiltonian Systems
Graph-Based Semi-supervised Learning for Cross-Lingual Sentiment Classification
The Achilles Heel of Artificial Intelligence
The Impact of Constant Field of Attention on Properties of Contextual Neural Networks
To Solve the TDVRPTW via Hadoop MapReduce Parallel Computing
Novel Approach to Gentle AdaBoost Algorithm with Linear Weak Classifiers
Construction of Virtual Metrology Cloud Platform with Machine Learning Tools for Providing Factory-Wide Manufacturing Service
Adoption of Cloud Business Intelligence in Indonesia's Financial Services Sector
Remaining Useful Life Estimation-A Case Study on Soil Moisture Sensors
Intelligence Trading System for Thai Stock Index
Machine Learning Models for Real Estate Appraisal Constructed Using Spline Trend Functions
Comparison of Stability Models in Incremental Development
Spatial Planning as a Hexomino Puzzle
An Intelligently Remote Infant Monitoring System Based on RFID
An Adversarial Learning and Canonical Correlation Analysis Based Cross-Modal Retrieval Model
An Approach of Finding Maximal Submeshes for Task Allocation Algorithms in Mesh Structures
A Method for User Profile Learning in Document Retrieval System Using Bayesian Network
Event Detection in Twitter: Methodological Evaluation and Structural Analysis of the Bibliometric Data
RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique
Continuous-Time Approach to Discrete-Time PID Control for UPS Inverters - A Case Study
Complexity of Transforming Decision Rule Systems into Decision Trees and Acyclic Decision Graphs
Content-Based Motorcycle Counting for Traffic Management by Image Recognition
Design Pattern Ranking Based on the Design Pattern Intent Ontology
Multi-pass, Non-recursive Acoustic Echo Cancellation Sequential and Parallel Algorithms
Quantitative Measurement for Pathological Change of Pulley Tissue from Microscopic Images via Color-Based Segmentation
Content-Aware Image Resizing Based on Aesthetic
Forecasting Stock Market Based on Price Trend and Variation Pattern
Efficient Data Update for Location-Based Recommendation Systems
Self-Organizing Reinforcement Learning Model
Achieving high memory performance from heterogeneous architectures with the SARC programming model
Proceedings of the 2004 workshop on MEmory performance - DEaling with Applications , systems and architecture, MEDEA '04, Antibes Juan-les-Pins, France, September 29 - October 3, 2004
Speculative execution for hiding memory latency
The impact of traffic aggregation on the memory performance of networking applications
Performance balancing: software-based on-chip memory management for effective CMP executions
Parallelization schemes for memory optimization on the cell processor: a case study of image processing algorithm
Energy aware memory architecture configuration
Improving data cache performance with integrated use of split caches, victim cache and stream buffers
Data prefetching in a cache hierarchy with high bandwidth and capacity
PFetch: software prefetching exploiting temporal predictability of memory access streams
DRACO: optimized CC-NUMA system with novel dual-link interconnections to reduce the memory latency
Performance tuning and analysis of future vector processors based on the roofline model
Reducing leakage in power-saving capable caches for embedded systems by using a filter cache
SH-X: an embedded processor core for consumer appliances
Evaluation of memory performance on the cell BE with the SARC programming model
Investigating cache energy and latency break-even points in high performance processors
Locality analysis to control dynamically way-adaptable caches
Version management alternatives for hardware transactional memory
Modeling of cache access behavior based on Zipf's law
A shared cache for a chip multi vector processor
Building a large instruction window through ROB compression
Memory management thread for heap allocation intensive sequential applications
Zero loads: canceling load requests by tracking zero values
An on-chip cache design for vector processors
Evaluating instruction cache vulnerability to transient errors
Guests editor's introduction
A power-aware shared cache mechanism based on locality assessment of memory reference for CMPs
Analysis of static and dynamic energy consumption in NUCA caches: initial results
Exploiting multithreaded architectures to improve the hash join operation
Multithreaded software transactional memory and OpenMP
Improving the accuracy of snoop filtering using stream registers
Characterization of Apache web server with Specweb2005
A leakage-aware cache sharing technique for low-power chip multi-processors (CMPs) with private L2 caches
Proceedings of the 2007 workshop on MEmory performance - DEaling with Applications, systems and architecture, MEDEA '07, Brasov, Romania, September 16, 2007
WormBench: a configurable workload for evaluating transactional memory systems
Proceedings of the 10th workshop on MEmory performance - DEaling with Applications, systems and architecture, MEDEA '09, Raleigh, North Carolina, USA, September 13, 2009
Temperature reduction analysis in Sentry Tag cache systems
Proceedings of the 2006 workshop on MEmory performance - DEaling with Applications, systems and architectures, MEDEA '06, Seattle, Washington, USA, September 16-20, 2006
Broadcast filtering-aware task assignment techniques for low-power MPSoCs
A simple speculative load control mechanism for energy saving
Proceedings of the 9th workshop on MEmory performance - DEaling with Applications, systems and architecture, MEDEA '08, Toronto, Canada, October 26, 2008
The STAPL pArray
Data prefetching and address pre-calculation through instruction pre-execution with two-step physical register deallocation
Analyzing block locality in Morton-order and Morton-hybrid matrices
Improving disk bandwidth-bound applications through main memory compression
Predictable dynamic instruction scratchpad for simultaneous multithreaded processors
Accurate system-level performance modeling and workload characterization for mobile internet devices
Load squared: adding logic close to memory to reduce the latency of indirect loads with high miss ratios
PSMalloc: content based memory management for MPI applications
Code-size conscious pipelining of imperfectly nested loops
An LRU-based replacement algorithm augmented with frequency of access in shared chip-multiprocessor caches
A 3D Reconstruction System for Human Body Modeling
Motion Capture Data Manipulation and Reuse via B-splines
VideoVR: A Real-Time System for Automatically Constructing Panoramic Images from Video Clips
Real-Time Hand and Head Tracking for Virtual Environments Using Infrared Beacons
The Video Yardstick
Facial Animation by Synthesis of Captured and Artificial Data
A Graphics Compiler for a 3-Dimensional Captured Image Database and Captured Image Reusability
Real-Time Requirements for the Implementation of Speech-Controlled Artificial Actors
Motion Analysis in Clinical Practice Using Ambulatory Accelerometry
A Robust Human-Silhouette Extraction Technique for Interactive Virtual Environments
Bézier Volume Deformation Model for Facial Animation and Video Tracking
3D Modeling from Captured Images Using Bi-directional Ray Traversal Method
Motion Abstraction and Mapping with Spatial Constraints
Modelling and Motion Capture Techniques for Virtual Environments, International Workshop, CAPTECH'98, Geneva, Switzerland
Real-Time Inverse Kinematics through Constrained Dynamics
Synthesis of Human Motion Using Kalman Filter
Goal-Directed Navigation for Animated Characters Using Real-Time Path Planning and Control
Local and Global Skeleton Fitting Techniques for Optical Motion Capture
Artificial Neural Networks for Motion Emulation in Virtual Environments
3D Part Recognition Method for Human Motion Analysis
Head Modeling from Pictures and Morphing in 3D with Image Metamorphosis Based on Triangulation
Face Models from Uncalibrated Video Sequences
Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior
Representing Robot-Environment Interactions by Dynamical Features of Neur-controllers
Anticipation Driven Artificial Personality: Building on Lewin and Loehlin
Sensory Anticipation for Autonomous Selection of Robot Landmarks
Internal Models and Anticipations in Adaptive Learning Systems
Mathematical Foundations of Discrete and Functional Systems with Strong and Weak Anticipations
A Framework for Preventive State Anticipation
Generalized State Values in an Anticipatory Learning Classifier System
Anticipatory Behavioral Control
Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment
Exploring the Value of Prediction in an Artificial Stock Market
Anticipatory Guidance of Plot
Whose Anticipations?
Not Everything We Know We Learned
Anticipatory Behavior in Adaptive Learning Systems, Foundations, Theories, and Systems
Forward and Bidirectional Planning Based on Reinforcement Learning and Neural Networks in a Simulated Robot
Towards a Four Factor Theory of Anticipatory Learning
Towards certification of TLA+ proof obligations with SMT solvers
Walking through the Forest: Fast EUF Proof-Checking Algorithms
Designing Proof Formats: A User's Perspective
Proofs and Proof Certification in the TLA + Proof System
Escape to ATP for Mizar
Combining Proofs to form Different Proofs
System Feature Description: Importing Refutations into the GAPT Framework
LFSC for SMT Proofs: Work in Progress
PxTP 2011: First International Workshop on Proof eXchange for Theorem Proving, Wrocław, Poland, August 1, 2011
Quantifier Inference Rules for SMT proofs
A Nelson-Oppen based Proof System using Theory Specific Proof Systems
CoqInE: Translating the Calculus of Inductive Constructions into the λΠ-calculus Modulo
A Flexible Proof Format for SMT: a Proposal
The λΠ-calculus Modulo as a Universal Proof Language
Certifying CNF Encodings of Pseudo-Boolean Constraints (abstract)
Proceedings of the Second International Workshop on Proof Exchange for Theorem Proving, PxTP 2012, Manchester, UK, June 30, 2012
Quantifying cell-type interactions and their spatial patterns as prognostic biomarkers in follicular lymphoma
Integrating color deconvolution thresholding and weakly supervised learning for automated segmentation of neurofibrillary tangle and neuropil threads
Characterizing primary refractory neuroblastoma: prediction of outcome by microscopic image analysis
Segmentation of black ink and melanin in skin histopathological images
Deep-supervised adversarial learning-based classification for digital histologic images
Content-based histopathological image retrieval for whole slide image database using binary codes
An adaptive image representation learned from data for cervix cancer tumor detection
Few-shot weakly supervised detection and retrieval in histopathology whole-slide images
3D reconstruction of digitized histological sections for vasculature quantification in the mouse hind limb
User friendly, cloud based, whole slide image segmentation
Optimized color decomposition of localized whole slide images and convolutional neural network for intermediate prostate cancer classification
Heterogeneity characterization of immunohistochemistry stained tissue using convolutional autoencoder
A deep learning framework for context-aware mitotic activity estimation in whole slide images
Anonymising pathology data using generative adversarial networks
Enhanced pooling-convolution for pathological image multi-class segmentation
Can ImageNet feature maps be applied to small histopathological datasets for the classification of breast cancer metastatic tissue in whole slide images?
Front Matter: Volume 10140
Eye tracking in digital pathology: identifying expert and novice patterns in visual search behaviour
An unsupervised network for fast microscopic image registration
Medical image fusion based on spiking cortical model
Color deconvolution method with DAB scatter correction for bright field image analysis
Accuracy and variability of tumor burden measurement on multi-parametric MRI
Ink removal in whole slide images using hallucinated data
Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples: texture-based classification of tissue morphologies
Cell2Voxel: a novel, cell-based 3D tissue model from 2D multiplex tissue scans
Automated multi-class ground-truth labeling of H&E images for deep learning using multiplexed fluorescence microscopy
A level-set method for pathology segmentation in fluorescein angiograms and en face retinal images of patients with age-related macular degeneration
Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease
Fast detection and localization of mitosis using a semi-supervised deep representation
A Bayesian framework for cell-level protein network analysis for multivariate proteomics image data
Improved instance segmentation of immune cells in human lupus nephritis biopsies with Mask R-CNN
Automated gastric cancer diagnosis on H&E-stained sections; ltraining a classifier on a large scale with multiple instance machine learning
Automated tubular morphometric visualization for whole kidney biopsy
Colorimetrical evaluation of color normalization methods for H&E-stained images
Performance assessment of automated tissue characterization for prostate H and E stained histopathology
Semantic segmentation for prostate cancer grading by convolutional neural networks
Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks
Automated segmentation of epithelial tissue in prostatectomy slides using deep learning
Inpainting missing tissue in multiplexed immunofluorescence imaging
Histological grading of the prostate carcinoma using deep learning: an unsupervised approach
Detection of acini in histopathology slides: towards automated prediction of breast cancer risk
Extraction of glomeruli in whole slide imaging of kidney biopsy specimens
Translating computational innovations into reality: focus on the users!
Automated high-throughput assessment of prostate biopsy tissue using infrared spectroscopic chemical imaging
Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach
Generation of RGB EVG stained image from hyperspectral H&E stained image using generative adversarial network (GAN)
Non-uniform object counting method in large-format pyramid images applied to CD31 vessel counting in whole-mount digital pathology sections
Simple non-iterative clustering and CNNs for coarse segmentation of breast cancer whole-slide images
MIMO U-Net: efficient cell segmentation and counting in microscopy image sequences
Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction
Mixture of learners for cancer stem cell detection using CD13 and H and E stained images
Hot spot detection for breast cancer in Ki-67 stained slides: image dependent filtering approach
A hybrid computational pathology method for the detection of perineural invasion junctions
Group affinity weakly supervised segmentation from prior selected tissue in colorectal histopathology images
Success of digitizing the dept. of pathology: is it just to change the technical platform and go with the slide scanners or do we need a paradigm when it comes to informatics and workflow?
Medical Imaging 2022: Digital and Computational Pathology, San Diego, CA, USA, February 20-24, 2022
Conditional generative adversarial networks for H&E to IF domain transfer: experiments with breast and prostate cancer
Integrated image-processing and transcriptomic analysis of cancer-associated fibroblasts (CAFs) in breast cancer subtypes
DUET dual-mode scanning of H&E slides reveals novel contrast
Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning
Automatic glomerulus detection in renal histological images
Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021
A novel H&E color augmentation for domain invariance classification of unannotated histopathology prostate cancer images
Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images
Inter-observer variability in the classification of ovarian cancer cell type using microscopy: a pilot study
Front Matter: Volume 9420
Automated detection of retinal cell nuclei in 3D micro-CT images of zebrafish using support vector machine classification
Requirements, desired characteristics and architectural proposal for a visualization framework for digital pathology
Deep learning to predict the proportion of positive cells in CMYC-stained tissue microarrays of diffuse large B-cell lymphoma
Using deep learning to predict tumor mutational burden in lung squamous cell carcinoma from 20 centers
Whole slide semantic segmentation: large scale active learning for digital pathology
Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancer
Reconstruction of vessel structures from serial whole slide sections of murine liver samples
Classification of lung cancer histology images using patch-level summary statistics
Simultaneous segmentation and classification of multichannel immuno-fluorescently labeled confocal microscopy images using deep convolutional neural networks
A meta-graph approach for analyzing whole slide histopathological images of human brain tissue with Alzheimer's disease biomarkers
Front Matter: Volume 12471
Model coupling for predicting a developmental patterning process
Muti-stage attention-based network for brain tumor subtype classification
Examining structural changes in diabetic nephropathy using inter-nuclear distances in glomeruli: a comparison of variously automated methods
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning
Deep learning approaches for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from phase-contrast images of unstained specimens
A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images
Generative modeling of histology tissue reduces human annotation effort for segmentation model development
Grading vascularity from histopathological images based on traveling salesman distance and vessel size
Confocal fluorescence microscopy for detection of cervical preneoplastic lesions
Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images
Deep detection and classification of mitotic figures
Generalizing convolution neural networks on stain color heterogeneous data for computational pathology
Quintet margin loss for an improved knowledge distillation in histopathology image analysis
Frequency analysis of gaze points with CT colonography interpretation using eye gaze tracking system
Minimum slice spacing required to reconstruct 3D shape for serial sections of breast tissue for comparison with medical imaging
A computational prediction method based on modified U-Net for cell distribution in tumor microenvironment
Computer assisted detection and analysis of tall cell variant papillary thyroid carcinoma in histological images
Quantitative evaluation of color difference between actual specimens and whole-slide imaging-scanned images calibrated with commercial color charts
Automatic choroid cells segmentation and counting based on approximate convexity and concavity of chain code in fluorescence microscopic image
Computational Pathology: What is the way forward?
Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks
Novel computer-aided diagnosis of mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens
Dense multi-object 3D glomerular reconstruction and quantification on 2D serial section whole slide images
Effect of formalin fixing on chromophore saliency maps derived from multi-spectral macropathology skin images
Hotspot detection in pancreatic neuroendocrine tumors: density approximation by α-shape maps
Cell nuclei segmentation in divergent images using deep learning and stochastic processing
A statistical deformation model (SDM) based regularizer for non-rigid image registration: application to registration of multimodal prostate MRI and histology
A multiview boosting approach to tissue segmentation
Detection of felt tip markers on microscope slides
Computational integration of renal histology and urinary proteomics using neural networks
A cloud-based tool for federated segmentation of whole slide images
A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification
Grading and localization of histological features for bioengineered kidney constructs
Improved segmentation of abnormal cervical nuclei using a graph-search based approach
Classification of human carcinoma cells using multispectral imagery
Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy
Automatic segmentation of hepatocellular structure from HE-stained liver tissue
Context-sensitive patch histograms for detecting rare events in histopathological data
Eosinophilic esophagitis multi-label feature recognition on whole slide imaging using transfer learning
Toward consistent cell segmentation: quality assessment of cell segments via appearance and geometry features
Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer
Interpretable graph convolutional network enables triple negative breast cancer detection in imaging mass cytometry
CrowdDeep: deep-learning from the crowd for nuclei segmentation
From patch-level to ROI-level deep feature representations for breast histopathology classification
Medical Imaging 2013: Digital Pathology, Lake Buena Vista (Orlando Area), Florida, United States, 9-14 February 2013
Deep learning combined with ball scale transform for circulating tumor cell enumeration in digital pathology
FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage
Deep learning-based rapid macrophage cell detection and localization in high-content microscopy screening
Multi-scale contrastive learning with attention for histopathology image classification
Computer aided antibody screening for IHC assay development
Deciphering protein signatures using color, morphological, and topological analysis of immunohistochemically stained human tissues