yusuke1997/dblp-id-title huggingface dataset:
Pseudo-Feature Generation for Imbalanced Data Analysis in Deep Learning
Efficient LLM Training and Serving with Heterogeneous Context Sharding among Attention Heads
Differentiable Meta-learning Model for Few-shot Semantic Segmentation
Privacy-Preserving Distributed Online Mirror Descent for Nonconvex Optimization
Graph Colouring Problem Based on Discrete Imperialist Competitive Algorithm
Complexity Results on DPLL and Resolution
Implicit Time-Marching for Lagrange Multiplier Formulation for Couple Stress Elastodynamics
Conscious Machines and Consciousness Oriented Programming
Linear ADRC is equivalent to PID with set-point weighting and measurement filter
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning
OLG++: A Semantic Extension of Obligation Logic Graph
BARD: budget-aware reasoning distillation
Unsupervised Despeckling
UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale
A New Self-Stabilizing Minimum Spanning Tree Construction with Loop-free Property
A study of uncertainty quantification in overparametrized high-dimensional models
Sim4IA-Bench: A User Simulation Benchmark Suite for Next Query and Utterance Prediction
On model architecture for a children's speech recognition interactive dialog system
Iterative Ensemble Kalman Methods: A Unified Perspective with Some New Variants
Smart Weather Forecasting Using Machine Learning: A Case Study in Tennessee
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems
Maximal regularity of multistep fully discrete finite element methods for parabolic equations
Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery
Efficient Standardization of Clinical Notes using Large Language Models
Evaluating and Mitigating Bias in AI-Based Medical Text Generation
Achieving Competitiveness in Online Problems
Probabilistic analysis of arithmetic coding showing its robustness
Gene tree reconciliation including transfers with replacement is hard and FPT
Auto-outlier Fusion Technique for Chest X-ray classification with Multi-head Attention Mechanism
Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection
Exploratory Study into Relations between Cognitive Distortions and Emotional Appraisals
Braid is undecidable
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems
Latency-Energy Tradeoff based on Channel Scheduling and Repetitions in NB-IoT Systems
Rock Texture Classification Using Spectral Analysis And Genetically Optimized Texture Features
Towards a better compressed sensing
Real or Virtual? Using Brain Activity Patterns to differentiate Attended Targets during Augmented Reality Scenarios
Coupled and decoupled impedance models compared in power electronics systems
A discontinuous Galerkin method for cohesive zone modelling
RFFNet: Scalable and interpretable kernel methods via Random Fourier Features
Statistical Mechanical Approach to Lossy Data Compression:Theory and Practice
Does Output Quantization Really Cause a Loss of 2dB?
Virtual reality: A human centered tool for improving Manufacturing
RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
Improved statistical benchmarking of digital pathology models using pairwise frames evaluation
Entropy Rate Bounds via Second-Order Statistics
Neural Inverse Source Problems
Toward Reliable Contention-aware Data Dissemination in Multi-hop Cognitive Radio Ad Hoc Networks
Integration in Social Networks
ReHub. Extending Hub Labels for Reverse k-Nearest Neighbor Queries on Large-Scale networks
Perturbation theory of transfer function matrices
Effects of time window size and placement on the structure of aggregated networks
A Novel Pre-processing Scheme to Improve the Prediction of Sand Fraction from Seismic Attributes using Neural Networks
Realizing XR Applications Using 5G-Based 3D Holographic Communication and Mobile Edge Computing
Distributed Function Computation Under Privacy Constraints
Parallelized Interactive Machine Learning on Autonomous Vehicles
PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization
MosaicDoc: A Large-Scale Bilingual Benchmark for Visually Rich Document Understanding
Compressive Signal Processing with Circulant Sensing Matrices
Forecasting Hand and Object Locations in Future Frames
Go-CaRD - Generic, Optical Car Part Recognition and Detection: Collection, Insights, and Applications
Age of Information in Federated Learning over Wireless Networks
Development of A Platform for Large-scale Reservoir Simulations on Parallel computers
History-sensitive versus future-sensitive approaches to security in distributed systems
OmniBooth: Learning Latent Control for Image Synthesis with Multi-modal Instruction
Segmenting speech without a lexicon: The roles of phonotactics and speech source
Low regularity integrators via decorated trees
EMA Without the Lag: Bias-Corrected Iterate Averaging Schemes
GearV: A Two-Gear Hypervisor for Mixed-Criticality IoT Systems
A simple GPU implementation of spectral-element methods for solving 3D Poisson type equations on cartesian meshes
On List Coloring with Separation of the Complete Graph and Set System Intersections
AI labeling reduces the perceived accuracy of online content but has limited broader effects
IRS Configuration Techniques for Ultra Wideband Signals and THz Communications
Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning
DeHiDe: Deep Learning-based Hybrid Model to Detect Fake News using Blockchain
Visuotactile-Based Learning for Insertion with Compliant Hands
Federated Hierarchical Hybrid Networks for Clickbait Detection
Measuring Human-perceived Similarity in Heterogeneous Collections
Trojan Detection Through Pattern Recognition for Large Language Models
Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning
A quantum-classical cloud platform optimized for variational hybrid algorithms
GTS Forecaster: a novel deep learning based geodetic time series forecasting toolbox with python
Surface-biased Multi-Level Context 3D Object Detection
Contextual Font Recommendations based on User Intent
Can Moran Eigenvectors Improve Machine Learning of Spatial Data? Insights from Synthetic Data Validation
Recent Colorings And Labelings In Topological Coding
Anytime Neural Networks via Joint Optimization of Auxiliary Losses
On the Use of Smart Ants for Efficient Routing in Wireless Mesh Networks
Technical Report: Anti-unification of Unordered Goals
Gramian-Based Adaptive Combination Policies for Diffusion Learning over Networks
Schwarz Methods for Nonlocal Problems
Developing for personalised learning: the long road from educational objectives to development and feedback
Detecting speculative data flow vulnerabilities using weakest precondition reasoning
Bayes Meets Entailment and Prediction: Commonsense Reasoning with Non-monotonicity, Paraconsistency and Predictive Accuracy
Learning from Emotions, Demographic Information and Implicit User Feedback in Task-Oriented Document-Grounded Dialogues
Maximal and maximum transitive relation contained in a given binary relation
Athena 2.0: Discourse and User Modeling in Open Domain Dialogue
A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement
Data-Driven Analysis of Text-Conditioned AI-Generated Music: A Case Study with Suno and Udio
Semantic Search as Extractive Paraphrase Span Detection
Show Me Your Cookie And I Will Tell You Who You Are
Dynamic State Estimation-Based Protection for Induction Motor Loads
Accuracy of Difference Schemes in Electromagnetic Applications: a Trefftz Analysis
Manycore processing of repeated range queries over massive moving objects observations
Behaviorally Grounded Model-Based and Model Free Cost Reduction in a Simulated Multi-Echelon Supply Chain
Boosting Liver and Lesion Segmentation from CT Scans By Mask Mining
Rethinking Large Language Model Distillation: A Constrained Markov Decision Process Perspective
Adaptive Isogeometric Topology Optimization of Shell Structures based on PHT-splines
SafeEvalAgent: Toward Agentic and Self-Evolving Safety Evaluation of LLMs
Sharp Ascent-Descent Spectral Stability under Strong Resolvent Convergence
Interpreting and Improving Adversarial Robustness with Neuron Sensitivity
Building Trust Profiles in Conditionally Automated Driving
Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
On Balanced k-coverage in Visual Sensor Network
GoldenFuzz: Generative Golden Reference Hardware Fuzzing
Decentralized Protection Strategies against SIS Epidemics in Networks
Additive Schwarz Methods for Convex Optimization with Backtracking
Technical Report for Egocentric Mistake Detection for the HoloAssist Challenge
Android Security Framework: Enabling Generic and Extensible Access Control on Android
Learning with Differentially Private (Sliced) Wasserstein Gradients
ABCD: Trust enhanced Attention based Convolutional Autoencoder for Risk Assessment
Passive Vibration Control of a 3-D Printer Gantry
Machine Learning of Linear Differential Equations using Gaussian Processes
Toxicity Inspector: A Framework to Evaluate Ground Truth in Toxicity Detection Through Feedback
Simultaneous Embeddings with Vertices Mapping to Pre-Specified Points
Continuous Speech Separation Using Speaker Inventory for Long Multi-talker Recording
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Single Event Upsets characterization of 65 nm CMOS 6T and 8T SRAM cells for ground level environment
Language Supervised Training for Skeleton-based Action Recognition
On Recovery of Sparse Signals via ℓ 1 Minimization
Assumption Commitment Types for Resource Management in Virtually Timed Ambients
Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset
The B-Skip-List: A Simpler Uniquely Represented Alternative to B-Trees
Circle Formation by Asynchronous Opaque Fat Robots on an Infinite Grid
On Leakage in Machine Learning Pipelines
Understanding population fluctuations through volunteered geographic information and novel indicators: The experience of Rakiura, Stewart Island, New Zealand
Numerical dispersion effects on the energy cascade in large-eddy simulation
Status Updating under Partial Battery Knowledge in Energy Harvesting IoT Networks
Smart sensors network for accurate indirect heat accounting in apartment buildings
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images
Improving Wi-Fi Network Performance Prediction with Deep Learning Models
Pointwise order of generalized Hofstadter functions G, H and beyond
A Data-Driven Prescribed-Time Control Framework via Koopman Operator and Adaptive Backstepping
A new algorithm for constraint satisfaction problems with Maltsev templates
A qualitative and quantitative citation analysis toward retracted articles: a case of study
Developing a Comprehensive Measurement Tool for Assessing the Rate of BIM Adoption in the Construction Industry
Substructured Two-level and Multilevel Domain Decomposition Methods
How Good are Commercial Large Language Models on African Languages?
Triple-Poles Complementary Split Ring Resonator for Sensing Diabetics Glucose Levels at cm-Band
Query processing in distributed, taxonomy-based information sources
Revealing AI Reasoning Increases Trust but Crowds Out Unique Human Knowledge
Multiple Transversals Greedily
Generality Is Not Enough: Zero-Label Cross-System Log-Based Anomaly Detection via Knowledge-Level Collaboration
PERSA+: A Deep Learning Front-End for Context-Agnostic Audio Classification
Control-Oriented, Data-Driven Models of Thermal Dynamics
Defensive forecasting for optimal prediction with expert advice
One Embedding To Do Them All
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
Density Ratio Hidden Markov Models
Reading Between the Demographic Lines: Resolving Sources of Bias in Toxicity Classifiers
Drawing early-bird tickets: Towards more efficient training of deep networks
Model-Free Risk-Sensitive Reinforcement Learning
Emotions make cities live. Towards mapping emotions of older adults on urban space
GRADE: Generating Realistic Animated Dynamic Environments for Robotics Research
Learning LWF Chain Graphs: an Order Independent Algorithm
Oscillator Formulations of Many NP Problems
Negative Results of Fusing Code and Documentation for Learning to Accurately Identify Sensitive Source and Sink Methods An Application to the Android Framework for Data Leak Detection
Synthetic User Behavior Sequence Generation with Large Language Models for Smart Homes
A multi-centre, multi-device benchmark dataset for landmark-based comprehensive fetal biometry
Software refactoring and rewriting: from the perspective of code transformations
A note on Edge Isoperimetric Numbers and Regular Graphs
Lon-ea at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction
Sorted Pooling in Convolutional Networks for One-shot Learning
Benchmarking GPT-5 for Zero-Shot Multimodal Medical Reasoning in Radiology and Radiation Oncology
Robust and Efficient Aggregation for Distributed Learning
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
An Insight to Covert Channels
A data-centric weak supervised learning for highway traffic incident detection
The Barbados 2018 List of Open Issues in Continual Learning
Towards Large-Scale Scalable MAV Swarms with ROS2 and UWB-based Situated Communication
On the uniqueness and computation of commuting extensions
Carbon Footprints on Inter-Domain Paths: Uncovering CO2 Tracks on Global Networks
Thévenin Equivalent Parameters Identification Based on Statistical Characteristics of System Ambient Data
Non-asymptotic error bounds for scaled underdamped Langevin MCMC
Degrees-of-Freedom Region of MISO-OFDMA Broadcast Channel with Imperfect CSIT
In Silico Fatigue Optimization of TAVR Stent Designs with Physiological Motion in a Beating Heart Model
Unified Deep Learning Platform for Dust and Fault Diagnosis in Solar Panels Using Thermal and Visual Imaging
Lightweight Image Codec via Multi-Grid Multi-Block-Size Vector Quantization (MGBVQ)
Lower bounds for distributed markov chain problems
Disentangled Representation Learning and Generation with Manifold Optimization
Extending the Numerical Flow Iteration to the multi-species Vlasov-Maxwell system through Hamiltonian Splitting
A Picard Newton method to solve non linear airflow networks
Uniformity of point samples in metric spaces using gap ratio
Data-driven simulator of multi-animal behavior with unknown dynamics via offline and online reinforcement learning
Scaling laws and fluctuations in the statistics of word frequencies
Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization
From Kicking to Causality: Simulating Infant Agency Detection with a Robust Intrinsic Reward
Opening Scholarly Communication in Social Sciences: Supporting Open Peer Review with Fidus Writer
Residual Bootstrap Exploration for Bandit Algorithms
Statistical Distance Based Deterministic Offspring Selection in SMC Methods
BERT memorisation and pitfalls in low-resource scenarios
Hand-tremor frequency estimation in videos
Weighted Point Cloud Augmentation for Neural Network Training Data Class-Imbalance
Llama 3 Meets MoE: Efficient Upcycling
Foot anthropometry device and single object image thresholding
Understanding the Feedforward Artificial Neural Network Model From the Perspective of Network Flow
Neutrosophic Overset, Neutrosophic Underset, and Neutrosophic Offset. Similarly for Neutrosophic Over-/Under-/Off- Logic, Probability, and Statistics
Multi-step Estimation for Gradient-based Meta-learning
Fast Switching Serial and Parallel Paradigms of SNN Inference on Multi-core Heterogeneous Neuromorphic Platform SpiNNaker2
3D Anatomical Structure-guided Deep Learning for Accurate Diffusion Microstructure Imaging
GWPT: A Green Word-Embedding-based POS Tagger
qrpca: A Package for Fast Principal Component Analysis with GPU Acceleration
Federated Learning with Non-IID Data
Skeptik: A Hybrid Framework for Combating Potential Misinformation in Journalism
Exponential Convergence of Deep Composite Polynomial Approximation for Cusp-Type Functions
Enhancing Stratified Graph Sampling Algorithms based on Approximate Degree Distribution
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations
Effective resistance on graphs and the Epidemic quasimetric
Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd Navigation
StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision
Generative Linguistics, Large Language Models, and the Social Nature of Scientific Success
MetaSD: A Unified Framework for Scalable Downscaling of Meteorological Variables in Diverse Situations
MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries
Representational Alignment Supports Effective Machine Teaching
Performance Improvement of Heterogeneous Wireless Networks using Modified Newton Method
FineMolTex: Towards Fine-grained Molecular Graph-Text Pre-training
Influencia de fatores organizacionais e sociais na etapa de levantamento de requisitos
Recovery of Block-Sparse Representations from Noisy Observations via Orthogonal Matching Pursuit
Defending Against Adversarial Attacks by Leveraging an Entire GAN
On Multisequences and their extensions
Algorithmic collusion in a two-sided market: A rideshare example
Scalability Evaluation of Iterative Algorithms Used for Supercomputer Simulation of Physical processes
Social Network Analysis Taxonomy Based on Graph Representation
Parallel Architecture and Hyperparameter Search via Successive Halving and Classification
Automatic String Data Validation with Pattern Discovery
The Human Factor in Detecting Errors of Large Language Models: A Systematic Literature Review and Future Research Directions
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels
Primitive Recursive Bars Are Inductive
Theoretical and Experimental Perspectives of Quantum Verification
Linear Mode Connectivity under Data Shifts for Deep Ensembles of Image Classifiers
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts
Topological data analysis of human vowels: Persistent homologies across representation spaces
Enhancing Transformer-Based Segmentation for Breast Cancer Diagnosis using Auto-Augmentation and Search Optimisation Techniques
Uncertainty Quantification in Alzheimer's Disease Progression Modeling
Neglected Hessian component explains mysteries in Sharpness regularization
Short-range forecasts of global precipitation using deep learning-augmented numerical weather prediction
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models
FW-VTON: Flattening-and-Warping for Person-to-Person Virtual Try-on
GA based robust blind digital watermarking
An AI-Enabled Side Channel Power Analysis Based Hardware Trojan Detection Method for Securing the Integrated Circuits in Cyber-Physical Systems
Online Decision Making with History-Average Dependent Costs (Extended)
Dirichlet Active Learning
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration
From Flat to Round: Redefining Brain Decoding with Surface-Based fMRI and Cortex Structure
MNIST-MIX: A Multi-language Handwritten Digit Recognition Dataset
Deepfakes and the 2020 US elections: what (did not) happen
Towards Machine Translation for the Kurdish Language
A Compositional Query Algebra for Second-Order Logic and Uncertain Databases
Data-dependent Generalization Bounds via Variable-Size Compressibility
Revealing the structure-property relationships of copper alloys with FAGC
Solving Truly Massive Budgeted Monotonic POMDPs with Oracle-Guided Meta-Reinforcement Learning
C2P: Featuring Large Language Models with Causal Reasoning
Online Influence Campaigns: Strategies and Vulnerabilities
Conversational Intent-Driven GraphRAG: Enhancing Multi-Turn Dialogue Systems through Adaptive Dual-Retrieval of Flow Patterns and Context Semantics
Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation
Pointed subspace approach to incomplete data
Web(er) of Hate: A Survey on How Hate Speech Is Typed
How to cut a discrete cake fairly
Serving the Grid: an Experimental Study of Server Clusters as Real-Time Demand Response Resources
Datasets for Portuguese Legal Semantic Textual Similarity: Comparing weak supervision and an annotation process approaches
A branch-and-price approach with MILP formulation to modularity density maximization on graphs
Batching and Optimal Multi-stage Bipartite Allocations
On the spatiotemporal behavior in biology-mimicking computing systems
Implicit Regularization of Sub-Gradient Method in Robust Matrix Recovery: Don't be Afraid of Outliers
Toward Co-adapting Machine Learning Job Shape and Cluster Topology
New Bounds For Frameproof Codes
Modified CycleGAN for the synthesization of samples for wheat head segmentation
Analytical Reconstruction of Periodically Deformed Objects in Time-resolved CT
DNFS-VNE: Deep Neuro-Fuzzy System-Driven Virtual Network Embedding Algorithm
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization
An Efficient Algorithm for Detection of Selfish Packet Dropping Nodes in Wireless Mesh Networks
Type-Preserving Compilation of Class-Based Languages
Quantifying and Minimizing Perception Gap in Social Networks
A characterization of abelian group codes in terms of their parameters
App Developer Centric Trusted Execution Environment
Diversifying Database Activity Monitoring with Bandits
On the applicability of distributed ledger architectures to peer-to-peer energy trading framework
Accelerating Search on Binary Codes in Weighted Hamming Space
Quantum Gate Decomposition: A Study of Compilation Time vs. Execution Time Trade-offs
Detecting Wildfires on UAVs with Real-time Segmentation Trained by Larger Teacher Models
DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy
Point degree spectra of represented spaces
Sequential Estimation of Gaussian Process-based Deep State-Space Models
Resource-Based Time and Cost Prediction in Project Networks: From Statistical Modeling to Graph Neural Networks
Learning with Combinatorial Optimization Layers: a Probabilistic Approach
Co-evolution and morphogenetic systems
Multi-Modal Retrieval using Graph Neural Networks
Extreme Image Compression using Fine-tuned VQGAN Models
RowDetr: End-to-End Row Detection Using Polynomials
Statistical Model Checking Beyond Means: Quantiles, CVaR, and the DKW Inequality (extended version)
Brain Ageing Prediction using Isolation Forest Technique and Residual Neural Network (ResNet)
Efficient Modelling Across Time of Human Actions and Interactions
One-bit compressed sensing by linear programming
Structured Token Retention and Computational Memory Paths in Large Language Models
A multivariate interlace polynomial
Generalizable Visual Reinforcement Learning with Segment Anything Model
Approximate Regularization Paths for Nuclear Norm Minimization Using Singular Value Bounds - With Implementation and Extended Appendix
Adaptive Molecule Transmission Rate for Diffusion Based Molecular Communication
FUSE-Traffic: Fusion of Unstructured and Structured Data for Event-aware Traffic Forecasting
Adaptive Temporal Compressive Sensing for Video
TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning
Formation-of-Arrays Antenna Technology for High-Throughput Mobile Non-Terrestrial Networks
Fusion-S2iGan: An Efficient and Effective Single-Stage Framework for Speech-to-Image Generation