yusuke1997/dblp-id-title huggingface dataset:
PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization
Optimal Operation of HVDC Interconnector: Irish Case
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs
Exploiting Image-Related Inductive Biases in Single-Branch Visual Tracking
About Digital Communication Methods for Visible Light Communication
Overcoming Language Dichotomies: Toward Effective Program Comprehension for Mobile App Development
GAttANet: Global attention agreement for convolutional neural networks
Pan-artifact Removing with Deep Learning, on ISEs
Synergistic Benefits in IRS- and RS-enabled C-RAN with Energy-Efficient Clustering
Catching Polygons
Mesh-SORT: Simple and effective of location-wise tracker
Human-like fleeting memory improves language learning but impairs reading time prediction in transformer language models
Modeling and numerical simulation of fully Eulerian fluid-structure interaction using cut finite elements
Understanding NFT Price Moves through Social Media Keywords Analysis
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus
A Differentiable Solver Approach to Operator Inference
Slow Passage through a Saddle-Node Bifurcation in Discrete Dynamical Systems
Predictability Analysis of Regression Problems via Conditional Entropy Estimations
The use of multi-agent systems for modeling technological processes
Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
Numerical conservative solutions of the Hunter-Saxton equation
A Fast Algorithm for the Discrete Core/Periphery Bipartitioning Problem
Asynchronous Execution of the Fast Multipole Method Using Charm++
Adaptive GPU Resource Allocation for Multi-Agent Collaborative Reasoning in Serverless Environments
PathoSyn: Imaging-Pathology MRI Synthesis via Disentangled Deviation Diffusion
Mesh Refinement for Anisotropic Diffusion in Magnetized Plasmas
Derivation Lengths Classification of Gödel's T Extending Howard's Assignment
Graph-Based Encoders and their Performance for Finite-State Channels with Feedback
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning
Thematic Analysis with Large Language Models: does it work with languages other than English? A targeted test in Italian
Improving Deep Attractor Network by BGRU and GMM for Speech Separation
Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning
3D-ADAM: A Dataset for 3D Anomaly Detection in Advanced Manufacturing
Instance Based Methods --- A Brief Overview
Towards an Interpretable Latent Space in Structured Models for Video Prediction
On the discriminative power of Hyper-parameters in Cross-Validation and how to choose them
HALT-RAG: A Task-Adaptable Framework for Hallucination Detection with Calibrated NLI Ensembles and Abstention
TVRecap: A Dataset for Generating Stories with Character Descriptions
Predicting link directions via a recursive subgraph-based ranking
Future-Proofing Class Incremental Learning
What Makes a Good Paraphrase: Do Automated Evaluations Work?
ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Model
Conditions for Regional Frequency Stability in Power Systems - Part I: Theory
MillStone: How Open-Minded Are LLMs?
Causal Analysis Framework for Recommendation
SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge
Full Frequency Reuse Multibeam SatComs: Frame Based Precoding and User Scheduling
Transforming Calabi-Yau Constructions: Generating New Calabi-Yau Manifolds with Transformers
CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models
Knowing Whether
From Dialogue to Diagram: Task and Relationship Extraction from Natural Language for Accelerated Business Process Prototyping
Improving DPLL Solver Performance with Domain-Specific Heuristics: the ASP Case
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks
RT-GuIDE: Real-Time Gaussian splatting for Information-Driven Exploration
A structure-preserving scheme for computing effective diffusivity and anomalous diffusion phenomena of random flows
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction
Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval
AutoSynch: An Automatic-Signal Monitor Based on Predicate Tagging
Towards Providing Low-Risk and Economically Feasible Network Data Transfer Services
Optimal Gathering over Meeting Nodes in Infinite Grid
A Framework for Constrained and Adaptive Behavior-Based Agents
Automatic Map Generation for Autonomous Driving System Testing
SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval
Enhancing Train Transportation in Sri Lanka: A Smart IOT based Multi-Subsystem Approach using MQTT
L-systems for Measuring Repetitiveness
New Evolutionary Computation Models and their Applications to Machine Learning
Probabilistic Prediction of Coalescence Flutter Using Measurements: Application to the Flutter Margin Method
The Apps You Use Bring The Blogs to Follow
A comprehensive study of clustering a class of 2D shapes
Reliability-Aware Overlay Architectures for FPGAs: Features and Design Challenges
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime
CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis
Stacey: Promoting Stochastic Steepest Descent via Accelerated ℓ p -Smooth Nonconvex Optimization
Computing ϕ for an RSA module with a single quantum query
An Approximate Inner Bound to the QoS Aware Throughput Region of a Tree Network under IEEE 802.15.4 CSMA/CA and Application to Wireless Sensor Network Design
Token Adaptation via Side Graph Convolution for Efficient Fine-tuning of 3D Point Cloud Transformers
Transformer Based Linear Attention with Optimized GPU Kernel Implementation
Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the U.S
SeMv-3D: Towards Semantic and Mutil-view Consistency simultaneously for General Text-to-3D Generation with Triplane Priors
Measuring Large Language Models Capacity to Annotate Journalistic Sourcing
Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models
Transformer++
When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI
Stochastic Convergence Results for Regularized Actor-Critic Methods
A dual characterisation of simple and subdirectly-irreducible temporal Heyting algebras
Machine Learning-based Test Selection for Simulation-based Testing of Self-driving Cars Software
An ICTM-RMSAV Framework for Bias-Field Aware Image Segmentation under Poisson and Multiplicative Noise
Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness
How Different Text-preprocessing Techniques Using The BERT Model Affect The Gender Profiling of Authors
MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusion
Applications of Inequalities to Optimization in Communication Networking: Novel Decoupling Techniques and Bounds for Multiplicative Terms Through Successive Convex Approximation
Deep Autoencoder for Combined Human Pose Estimation and body Model Upscaling
Maximum margin learning of t-SPNs for cell classification with filtered input
Collision Diversity SCRAM: Beyond the Sphere-Packing Bound
Adaptive Subcarrier and Bit Allocation for Downlink OFDMA System with Proportional Fairness
Constrained Credit Networks
Learning Nonlinear Responses in PET Bottle Buckling with a Hybrid DeepONet-Transolver Framework
Deep Speaker: an End-to-End Neural Speaker Embedding System
Polynomial Distributions and Transformations
TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models
Regular Partitions and Their Use in Structural Pattern Recognition
The Role of Commutativity in Constraint Propagation Algorithms
A Multiscale Fracture Model using Peridynamic Enrichment of Finite Elements within an Adaptive Partition of Unity: Experimental Validation
A Review of Challenges in Speech-based Conversational AI for Elderly Care
BiLL-VTG: Bridging Large Language Models and Lightweight Visual Tools for Video-based Texts Generation
Toward Discretization-Consistent Closure Schemes for Large Eddy Simulation Using Reinforcement Learning
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos
Out Performance Of Cuckoo Search Algorithm Among Nature Inspired Algorithms in Planar Antenna Arrays
Using a CNN Model to Assess Visual Artwork's Creativity
Effect of eHMI on pedestrian road crossing behavior in shared space with Automated Vehicles-A Virtual Reality study
Supernova: Achieving More with Less in Transformer Architectures
Teaching Introductory Electrical Engineering Course to CS Students in a Russian University
WHAT-IF: Exploring Branching Narratives by Meta-Prompting Large Language Models
Verification of recursive parallel systems
Optimal Scalar Quantization for Parameter Estimation
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning
LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network
Application Modernization with LLMs: Addressing Core Challenges in Reliability, Security, and Quality
Knowledge engineering for open science: Building and deploying knowledge bases for metadata standards
Hybrid Spatial Representations for Species Distribution Modeling
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression
Structural Multi-type Sequent Calculus for Inquisitive Logic
The VOROS: Lifting ROC curves to 3D
ExGRPO: Learning to Reason from Experience
Global convergence and optimality of the heavy ball method for non-convex optimization
L 0 -Sampler: An L 0 Model Guided Volume Sampling for NeRF
Detecting Road Surface Wetness from Audio: A Deep Learning Approach
KeyXtract Twitter Model - An Essential Keywords Extraction Model for Twitter Designed using NLP Tools
Preference Fine-Tuning for Factuality in Chest X-Ray Interpretation Models Without Human Feedback
Quaternion Nuclear Norm minus Frobenius Norm Minimization for color image reconstruction
Evaluating Transferable Emotion Expressions for Zoomorphic Social Robots using VR Prototyping
VectorFit : Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning
PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model
Uni-X: Mitigating Modality Conflict with a Two-End-Separated Architecture for Unified Multimodal Models
Larger Is Not Always Better: Leveraging Structured Code Diffs for Comment Inconsistency Detection
Proceedings of the 3rd Italian Conference on Big Data and Data Science (ITADATA2024)
Multi-Label Learning with Provable Guarantee
LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data
An Integrated Optimization Framework for Multi-Component Predictive Analytics in Wind Farm Operations & Maintenance
MambaMIL+: Modeling Long-Term Contextual Patterns for Gigapixel Whole Slide Image
Online inductive learning from answer sets for efficient reinforcement learning exploration
A Universal Adversarial Policy for Text Classifiers
Learning Hierarchical Feature Space Using CLAss-specific Subspace Multiple Kernel - Metric Learning for Classification
Image-Based Feature Representation for Insider Threat Classification
ArXiving Before Submission Helps Everyone
Real-time Mixed-Integer Quadratic Programming for Vehicle Decision Making and Motion Planning
Distributed Model Predictive Control for Asynchronous Multi-agent Systems with Self-Triggered Coordinator
PyTSK: A Python Toolbox for TSK Fuzzy Systems
General Upper Bounds for Gate Complexity and Depth of Reversible Circuits Consisting of NOT, CNOT and 2-CNOT Gates
Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings
Real-Time Quadrotor Trajectory Optimization with Time-Triggered Corridor Constraints
Graph Convolutional Long Short-Term Memory Attention Network for Post-Stroke Compensatory Movement Detection Based on Skeleton Data
Rethinking Machine Unlearning for Large Language Models
Representation Theory of the Symmetric Group in Voting Theory and Game Theory
Quantifying distribution system resilience from utility data: large event risk and benefits of investments
Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization
Causal Discovery using Bayesian Model Selection
Finding Facial Forgery Artifacts with Parts-Based Detectors
Commutativity and spectral properties for a general class of Szasz-Mirakjan-Durrmeyer operators
The Post correspondence problem in groups
Move from Perturbed scheme to exponential weighting average
Uncertain Time Series Classification With Shapelet Transform
Micro Congestion Control: Every Flow Deserves a Second Chance
Network Design through Graph Neural Networks: Identifying Challenges and Improving Performance
Efficient Transformer Encoders for Mask2Former-style models
Efficient Training in Multi-Agent Reinforcement Learning: A Communication-Free Framework for the Box-Pushing Problem
Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets
Principal ideal languages and synchronizing automata
Equivariant Conditional Neural Processes
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning
An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion
Persis: A Persian Font Recognition Pipeline Using Convolutional Neural Networks
BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios
Deep learning research landscape & roadmap in a nutshell: past, present and future - Towards deep cortical learning
Low-cost Augmented Reality prototype for controlling network devices
D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data Generation
Multi-Level Sensor Fusion with Deep Learning
Safepaths: Vaccine Diary Protocol and Decentralized Vaccine Coordination System using a Privacy Preserving User Centric Experience
GeNeRT: A Physics-Informed Approach to Intelligent Wireless Channel Modeling via Generalizable Neural Ray Tracing
PRE-Share Data: Assistance Tool for Resource-aware Designing of Data-sharing Pipelines
The word problem of the Brin-Thompson groups is coNP-complete
Optimization and Scalability of Collaborative Filtering Algorithms in Large Language Models
RIS-assisted Physical Layer Security
Framing Human-Robot Task Communication as a POMDP
The similarity index of mathematical and other scientific publications with equations and formulas and the problem of self-plagiarism identification
Distributed-memory Hierarchical Interpolative Factorization
OmniEvent: Unified Event Representation Learning
Non-Stationary Dynamic Pricing Via Actor-Critic Information-Directed Pricing
Blocking without Breaking: Identification and Mitigation of Non-Essential IoT Traffic
Towards Structure-aware Model for Multi-modal Knowledge Graph Completion
Fast Merge Tree Computation via SYCL
MRASfM: Multi-Camera Reconstruction and Aggregation through Structure-from-Motion in Driving Scenes
The in-town monitoring system for ambulance dispatch centre
Tuning-Free Structured Sparse Recovery of Multiple Measurement Vectors using Implicit Regularization
Source-Channel Diversity for Parallel Channels
Generalized Interlinked Cycle Cover for Index Coding
Amplifying Aspect-Sentence Awareness: A Novel Approach for Aspect-Based Sentiment Analysis
Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm
Suppressing the endemic equilibrium in SIS epidemics: A state dependent approach
Mean Absolute Directional Loss as a New Loss Function for Machine Learning Problems in Algorithmic Investment Strategies
Optimizing DF Cognitive Radio Networks with Full-Duplex-Enabled Energy Access Points
Network Analysis of Uniswap: Centralization and Fragility in the Decentralized Exchange Market
Perceiving Physical Equation by Observing Visual Scenarios
A Linear Time Algorithm for Solving #2SAT on Cactus Formulas
VecCity: A Taxonomy-guided Library for Map Entity Representation Learning
Devito: an embedded domain-specific language for finite differences and geophysical exploration
Meet Your New Client: Writing Reports for AI - Benchmarking Information Loss in Market Research Deliverables
A numerical solution to the minimum-time control problem for linear discrete-time systems
Motif Caller: Sequence Reconstruction for Motif-Based DNA Storage
Activation Functions Considered Harmful: Recovering Neural Network Weights through Controlled Channels
A Unified Model for Zero-shot Music Source Separation, Transcription and Synthesis
Feature Toggle Driven Development: Practices usedby Practitioners
Network reconstruction from infection cascades
PDEformer-2: A Versatile Foundation Model for Two-Dimensional Partial Differential Equations
PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction
Fairness in Rating Prediction by Awareness of Verbal and Gesture Quality of Public Speeches
Optimizing Quality of Experience of Dynamic Video Streaming over Fading Wireless Networks
Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study
Turing, Randomness and Economics
Physical Activation Functions (PAFs): An Approach for More Efficient Induction of Physics into Physics-Informed Neural Networks (PINNs)
Video Coding Using Learned Latent GAN Compression
A Profit Sharing Mechanism for Coordinated Power Traffic System
How powerful are integer-valued martingales?
How Different Is It Between Machine-Generated and Developer-Provided Patches? An Empirical Study on The Correct Patches Generated by Automated Program Repair Techniques
Renyi generalizations of the conditional quantum mutual information
ALPHAGMUT: A Rationale-Guided Alpha Shape Graph Neural Network to Evaluate Mutation Effects
Maneuver-based Anchor Trajectory Hypotheses at Roundabouts
Unmasking Airborne Threats: Guided-Transformers for Portable Aerosol Mass Spectrometry
Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images
Data-Centric Visual Development for Self-Driving Labs
CHiQPM: Calibrated Hierarchical Interpretable Image Classification
Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language
User Association and Resource Allocation in Unified Non-Orthogonal Multiple Access Enabled Heterogeneous Ultra Dense Networks
An Investigation into Mini-Batch Rule Learning
Explainable Link Prediction for Privacy-Preserving Contact Tracing
Ocean Eddy Identification and Tracking using Neural Networks
An Artificial Intelligence Browser Architecture (AIBA) For Our Kind and Others: A Voice Name System Speech implementation with two warrants, Wake Neutrality and Value Preservation of Personally Identifiable Information
Optimal transport for automatic alignment of untargeted metabolomic data
Stabilizing a spherical pendulum on a quadrotor
Quantum probability and quantum decision making
Learning to Code with Context: A Study-Based Approach
Multivariate Super-Resolution without Separation
Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers
Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion
Never-Ending Embodied Robot Learning
Pretraining Transformer-Based Models on Diffusion-Generated Synthetic Graphs for Alzheimer's Disease Prediction
What we learn from learning - Understanding capabilities and limitations of machine learning in botnet attacks
Searching for low weight pseudo-codewords
On The Marriage of SPARQL and Keywords
BEDTime: A Unified Benchmark for Automatically Describing Time Series
Themed Challenges to Solve Data Scarcity in Africa: A Proposition for Increasing Local Data Collection and Integration
Path Integral Optimiser: Global Optimisation via Neural Schrödinger-Föllmer Diffusion
Efficiency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems
High Reliability and Low Latency for Vehicular Networks: Challenges and Solutions
Pelvis Surface Estimation From Partial CT for Computer-Aided Pelvic Osteotomies
CarbonKit: a technological platform for personal carbon tracking
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding
Paraconsistent Foundations for Quantum Probability
Identifiability in Causal Abstractions: A Hierarchy of Criteria
Optimizing Touchscreen Keyboard Layouts to Minimize Swipe Input Errors
Matching Image Sets via Adaptive Multi Convex Hull
Hard Samples Rectification for Unsupervised Cross-domain Person Re-identification
Adhesion-induced Discontinuous Transitions and Classifying Social Networks
Relationships between the Phase Retrieval Problem and Permutation Invariant Embeddings
Rumour detection using graph neural network and oversampling in benchmark Twitter dataset
NP-Completeness of Neighborhood Balanced Colorings
FakeSafe: Human Level Data Protection by Disinformation Mapping using Cycle-consistent Adversarial Network
Integrated Design for Wave Energy Converter Farms: Assessing Plant, Control, Layout, and Site Selection Coupling in the Presence of Irregular Waves
QUEST: Queue Simulation for Content Moderation at Scale
Poison Attacks and Adversarial Prompts Against an Informed University Virtual Assistant
Automatic differentiation approach for reconstructing spectral functions with neural networks
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex
A Multi-Agent Rollout Approach for Highway Bottleneck Decongenston in Mixed Autonomy
Towards Safe and Honest AI Agents with Neural Self-Other Overlap
C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope
Toward a Mathematical Vulnerability Propagation and Defense Model in Smart Grid Networks
Deep sequential models for sampling-based planning
Differentially Private Federated Learning for Cancer Prediction
A 65 nm Bayesian Neural Network Accelerator with 360 fJ/Sample In-Word GRNG for AI Uncertainty Estimation
Machine Learning Operations: A Survey on MLOps Tool Support
Rozwój bibliotek cyfrowych i repozytoriów elektronicznych na Dolnym Slasku w latach 2004-2008 / Development of Digital Libraries and Electronic Repositories in Lower Silesia in Years 2004-2008
OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos
Event-driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
Cyclic Proofs in Hoare Logic and its Reverse
A Sensor Fusion-based Cutting Device Attitude Control to Improve the Accuracy of Korean Cabbage Harvesting
Web Infrastructure to Support e-Journal Preservation (and More)
CNA-TTA: Clean and Noisy Region Aware Feature Learning within Clusters for Online-Offline Test-Time Adaptation
Predicting a User's Next Cell With Supervised Learning Based on Channel States
GVT2RPM: An Empirical Study for General Video Transformer Adaptation to Remote Physiological Measurement
Information Retrieval in Friction Stir Welding of Aluminum Alloys by using Natural Language Processing based Algorithms
Impact of Integrated Circuit Packaging on Synaptic Dynamics of Memristive Devices
Coding theory package for Macaulay2
IFNet: Deep Imaging and Focusing for Handheld SAR with Millimeter-wave Signals
Zonotope-based Set-membership Parameter Identification of Linear Systems with Additive and Multiplicative Uncertainties and Its Application to Engine Condition Monitoring
No-dimensional Tverberg Theorems and Algorithms
What Happened in Social Media during the 2020 BLM Movement? An Analysis of Deleted and Suspended Users in Twitter
Movie Gen: A Cast of Media Foundation Models