yusuke1997/dblp-id-title huggingface dataset:
Deep Cytometry
A Short Overview of Multi-Modal Wi-Fi Sensing
Witness (Delaunay) Graphs
RulePilot: An LLM-Powered Agent for Security Rule Generation
Universal kernels via harmonic analysis on Riemannian symmetric spaces
Stochastic Matching with Few Queries: (1-ε) Approximation
VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation
Reflection and Hyper-Programming in Persistent Programming Systems
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion
On the Computational Complexity of Stackelberg Planning and Meta-Operator Verification: Technical Report
Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data
An AI-Powered Framework for Analyzing Collective Idea Evolution in Deliberative Assemblies
Competitive Equilibria in Matching Markets with Budgets
Recurrent Transformer for Dynamic Graph Representation Learning with Edge Temporal States
Ihara Zeta Entropy
DeepMutants: Training neural bug detectors with contextual mutations
Adaptive beamforming for optical wireless communication via fiber modal control
Real-Time Procedural Learning From Experience for AI Agents
Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets
From eye to AI: studying rodent social behavior in the era of machine Learning
Unit circle rectification of the MVDR beamformer
A Topology-Aware Localized Update Strategy for Graph-Based ANN Index
An unsupervised learning approach to evaluate questionnaire data - what one can learn from violations of measurement invariance
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
CryoFastAR: Fast Cryo-EM Ab Initio Reconstruction Made Easy
Climate Policy Elites' Twitter Interactions across Nine Countries
The Open Vault Challenge - Learning how to build calibration-free interactive systems by cracking the code of a vault
(In)Stability for the Blockchain: Deleveraging Spirals and Stablecoin Attacks
Are Large Language Models Robust Zero-shot Coreference Resolvers?
PSA-MF: Personality-Sentiment Aligned Multi-Level Fusion for Multimodal Sentiment Analysis
Fairness Perceptions in Regression-based Predictive Models
A Model-Driven Approach to Reengineering Processes in Cloud Computing
Beyond One-Size-Fits-All: Neural Networks for Differentially Private Tabular Data Synthesis
Logical Characterization of Trace Metrics
A predictor-corrector method for the training of deep neural networks
Bipolar Almost Equiangular Tight Frames for NOMA Systems
Best-in-class and Strategic Benchmarking of Scientific Subject Categories of Web of Science in 2010
Non-orthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks
Evaluation of Local Model-Agnostic Explanations Using Ground Truth
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Barwise Compression Schemes for Audio-Based Music Structure Analysis
Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition
Estimating the potential for shared autonomous scooters
Beyond Participation: A Review of Co-Creation in Computing
Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education
Root structures of polynomials with sparse exponents
Workflows to driving high-performance interactive supercomputing for urgent decision making
Securing Cloud - The Quantum Way
An Adaptive Secret Key-directed Cryptographic Scheme for Secure Transmission in Wireless Sensor Networks
Deep Muscle EMG construction using A Physics-Integrated Deep Learning approach
Smooth Adversarial Training
Assessing Attendance by Peer Information
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
Deeply Cascaded U-Net for Multi-Task Image Processing
Chain Rules for Hessian and Higher Derivatives Made Easy by Tensor Calculus
A Systematic Analysis of Higher Education on Software Engineering in the Netherlands
Adaptive Variance-Penalized Continual Learning with Fisher Regularization
Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection
Proceedings 10th Interaction and Concurrency Experience, ICE@DisCoTec 2017, Neuchâtel, Switzerland, 21-22nd June 2017
Improving Gaze-based Selection using Variable Dwell Time
HiPerformer: A High-Performance Global-Local Segmentation Model with Modular Hierarchical Fusion Strategy
Feedforward-Feedback wake redirection for wind farm control
gafro: Geometric Algebra for Robotics
A Decomposition of the Max-min Fair Curriculum-based Course Timetabling Problem
Blockchain mining in pools: Analyzing the trade-off between profitability and ruin
Training Multilayer Spiking Neural Networks using NormAD based Spatio-Temporal Error Backpropagation
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks
Blockchain-based Result Verification for Computation Offloading
Simulation of Conventional Droop Controller for Islanding DGs
High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims
Spectral and Energy Efficiency of Cell-Free Massive MIMO Systems with Hardware Impairments
Self-supervised Knowledge Triplet Learning for Zero-shot Question Answering
The Explicit Corridor Map: A Medial Axis-Based Navigation Mesh for Multi-Layered Environments
Information Subtraction: Learning Representations for Conditional Entropy
Computing the Depth of a Flat
An innovative solution for breast cancer textual big data analysis
Decentralized Coordination Between Economic Dispatch and Demand Response in Multi-Energy Systems
Computational simulation and the search for a quantitative description of simple reinforcement schedules
IBN: An Interpretable Bidirectional-Modeling Network for Multivariate Time Series Forecasting with Variable Missing
Dynamic Channel Access Scheme for Interference Mitigation in Relay-assisted Intra-WBANs
FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity prediction
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning
A Mobile Food Recommendation System Based on The Traffic Light Diet
Correlation Clustering Reconstruction in Semi-Adversarial Models
Learning Representations of Bi-Level Knowledge Graphs for Reasoning beyond Link Prediction
Early Detection of Sepsis using Ensemblers
PiGW: A Plug-in Generative Watermarking Framework
Device-Independent Relativistic Quantum Bit Commitment
Implementation of an Optimal First-Order Method for Strongly Convex Total Variation Regularization
C2TE: Coordinated Constrained Task Execution Design for Ordering-Flexible Multi-Vehicle Platoon Merging
Improved 3-Dimensional Security in Cloud Computing
RunBugRun - An Executable Dataset for Automated Program Repair
Understanding and Estimating the Execution Time of Quantum Programs
Reflective Linguistic Programming (RLP): A Stepping Stone in Socially-Aware AGI (SocialAGI)
Using voice note-taking to promote learners' conceptual understanding
Approximation Schemes for Minimizing the Maximum Lateness on a Single Machine with Release Times under Non-Availability or Deadline Constraints
Intelligent Advisory System for Supporting University Managers in Law
Unlocking Hardware Security Assurance: The Potential of LLMs
Universal Codes as a Basis for Time Series Testing
Locally recoverable codes from the matrix-product construction
A Survey on Sensor-based Threats to Internet-of-Things (IoT) Devices and Applications
Physics-Informed Extreme Learning Machine (PIELM): Opportunities and Challenges
Generative Spoken Language Modeling from Raw Audio
Constraint Selection in Metric Learning
Reinforcement Learning for Maneuver Design in UAV-Enabled NOMA System with Segmented Channel
On the Connection between Optimal Constant-Rank Codes and Optimal Constant-Dimension Codes
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge
A Novel Study on Intelligent Methods and Explainable AI for Dynamic Malware Analysis
Incremental Adversarial Domain Adaptation
An Empirical Study on Display Ad Impression Viewability Measurements
Cascaded Feature Warping Network for Unsupervised Medical Image Registration
Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture
Molecular-driven Foundation Model for Oncologic Pathology
TCP SIAD: Congestion Control supporting High Speed and Low Latency
Dynamic Locomotion For Passive-Ankle Biped Robots And Humanoids Using Whole-Body Locomotion Control
Certifying controls and systems software
Approximation Algorithms for Correlated Knapsacks and Non-Martingale Bandits
FRIDA: FRI-Based DOA Estimation for Arbitrary Array Layouts
ARK-V1: An LLM-Agent for Knowledge Graph Question Answering Requiring Commonsense Reasoning
Relative Learning from Web Images for Content-adaptive Enhancement
Improving vulnerability type prediction and line-level detection via adversarial training-based data augmentation and multi-task learning
Dependable Neural Networks for Safety Critical Tasks
Sampling-rate-aware noise generation
Kruskal-Katona for convex sets, with applications
AMECOS: A Modular Event-based Framework for Concurrent Object Specification
Ant routing algorithm for the Lightning Network
Single-shot fringe projection profilometry based on Deep Learning and Computer Graphics
A Nonlocal Model for Dislocations with Embedded Discontinuity Peridynamics
Mismatched Multi-letter Successive Decoding for the Multiple-Access Channel
Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval
Prestigious but less interdisciplinary: a network analysis on top-rated journals in medicine
Deepfake Detection: A Comprehensive Study from the Reliability Perspective
From Recall to Reasoning: Automated Question Generation for Deeper Math Learning through Large Language Models
Advancing Cognitive Science with LLMs
On the Convergence of AdaGrad with Momentum for Training Deep Neural Networks
Emotion Detection Using Noninvasive Low Cost Sensors
Modeling Ranking Properties with In-Context Learning
Fast Detection of Outliers in Data Streams with the Q n Estimator
Performance analysis of Electrical Machines based on Electromagnetic System Characterization using Deep Learning
Long Duration Battery Sizing, Siting, and Operation Under Wildfire Risk Using Progressive Hedging
Super-resolution imaging using super-oscillatory diffractive neural networks
We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space
SharkGraph: A Time Series Distributed Graph System
Specifying and Implementing Security Policies Using LaSCO, the Language for Security Constraints on Objects
Exposing Citation Vulnerabilities in Generative Engines
AI Agent as Urban Planner: Steering Stakeholder Dynamics in Urban Planning via Consensus-based Multi-Agent Reinforcement Learning
Cyberbullying Detection in Social Networks Using Deep Learning Based Models; A Reproducibility Study
VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer
Classification of human activity recognition using smartphones
Minimax rates in permutation estimation for feature matching
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals
RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model
PREMIER: Personalized REcommendation for Medical prescrIptions from Electronic Records
Deep Neural Aggregation for Recommending Items to Group of Users
FLARE v2: A Recursive Framework for Program Comprehension Across Common Teaching Languages and Levels of Abstraction
Properties on n-dimensional convolution for image deconvolution
High-Performance Privacy-Preserving Matrix Completion for Trajectory Recovery
Don't Let Your Robot be Harmful: Responsible Robotic Manipulation
Application Layer Intrusion Detection with Combination of Explicit-Rule- Based and Machine Learning Algorithms and Deployment in Cyber- Defence Program
Beyond Riding: Passenger Engagement with Driver Labor through Gamified Interactions
Computational-Statistical Gaps in Gaussian Single-Index Models
Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection
A Two-stage Personalized Virtual Try-on Framework with Shape Control and Texture Guidance
A machine learning approach to predict near-optimal meshes for turbulent compressible flow simulations
VORD: Visual Ordinal Calibration for Mitigating Object Hallucinations in Large Vision-Language Models
Policy-Aware Model Learning for Policy Gradient Methods
A Predictor-Corrector Type Algorithm for the Pseudospectral Abscissa Computation of Time-Delay Systems
Optimistic Distributionally Robust Policy Optimization
Text classification problems via BERT embedding method and graph convolutional neural network
PolyKAN: Efficient Fused GPU Operators for Polynomial Kolmogorov-Arnold Network Variants
DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference
Product Lines for Service Oriented Applications - PL for SOA
Stability of 0-dimensional persistent homology in enriched and sparsified point clouds
Heisenberg uncertainty relation and statistical measures in the square well
Strong Low Degree Hardness for the Number Partitioning Problem
RealFM: A Realistic Mechanism to Incentivize Data Contribution and Device Participation
From Profiling to Optimization: Unveiling the Profile Guided Optimization
Voices in a Crowd: Searching for Clusters of Unique Perspectives
e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional Approach
Head-up Displays (HUD) in driving
Class Unbiasing for Generalization in Medical Diagnosis
Speech Emotion Recognition with Global-Aware Fusion on Multi-scale Feature Representation
A Design Science Blueprint for an Orchestrated AI Assistant in Doctoral Supervision
TEEMATE: Fast and Efficient Confidential Container using Shared Enclave
Bio-Inspired Mamba: Temporal Locality and Bioplausible Learning in Selective State Space Models
Human-Robot Team Coordination with Dynamic and Latent Human Task Proficiencies: Scheduling with Learning Curves
MedCoAct: Confidence-Aware Multi-Agent Collaboration for Complete Clinical Decision
TAB: Transformer Attention Bottlenecks enable User Intervention and Debugging in Vision-Language Models
Quantifying Context Bias in Domain Adaptation for Object Detection
Counterfactual Explanation Policies in RL
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling
Network Intrusion Detection Using Wrapper-based Decision Tree for Feature Selection
Strategic Jenga Play via Graph Based Dynamics Modeling
A Novel Indoor Positioning System for unprepared firefighting scenarios
An Approach for Computing Dynamic Slice of Concurrent Aspect-Oriented Programs
Ongoing Tracking of Engagement in Motor Learning
Understanding the Social Factors Affecting the Cryptocurrency Market
Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems
Adjusting Queries to Statistical Procedures Under Differential Privacy
Does Overnight News Explain Overnight Returns?
An enhanced method of initial cluster center selection for K-means algorithm
Poivre: Self-Refining Visual Pointing with Reinforcement Learning
Enhancing Optimization Through Innovation: The Multi-Strategy Improved Black Widow Optimization Algorithm (MSBWOA)
Joint Text Embedding for Personalized Content-based Recommendation
Tract-RLFormer: A Tract-Specific RL policy based Decoder-only Transformer Network
Counting independent sets and colorings on random regular bipartite graphs
Anomaly Detection in Global Financial Markets with Graph Neural Networks and Nonextensive Entropy
One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud
A generalized non-hourglass updated Lagrangian formulation for SPH solid dynamics
Tri-Level Model for Hybrid Renewable Energy Systems
On multiple connectedness of regions visible due to multiple diffuse reflections
Convolutional Neural Networks for Video Quality Assessment
Distinctive-attribute Extraction for Image Captioning
Design Support for Multitape Turing Machines
Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Mathematical Reasoning and Modular Arithmetic
Jailbreaker: Automated Jailbreak Across Multiple Large Language Model Chatbots
Optimality of Huffman Code in the Class of 1-bit Delay Decodable Codes
Deep neural networks-based denoising models for CT imaging and their efficacy
CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models
How role-play shapes relevance judgment in zero-shot LLM rankers
Are Neuro-Inspired Multi-Modal Vision-Language Models Resilient to Membership Inference Privacy Leakage?
Graph-based Simulation Framework for Power Resilience Estimation and Enhancement
Transformed Diffusion-Wave fPINNs: Enhancing Computing Efficiency for PINNs Solving Time-Fractional Diffusion-Wave Equations
A Machine Learning Model for Stock Market Prediction
Hierarchical Multi-timescale Framework For Operation of Dynamic Community Microgrid
AI-Driven Risk-Aware Scheduling for Active Debris Removal Missions
Arbitrary-arity Tree Automata and QCTL
Realized collaboration across borders - Linux and the bioinformatic part
Heatwave-driven air conditioning adoption could increase German electricity demand by 14 GW in the near future
End-to-end Training for Recommendation with Language-based User Profiles
A Simulation System for Energy Harvesting Networked Tags (EnHANTs)
Guided Table Structure Recognition through Anchor Optimization
DNNs, Dataset Statistics, and Correlation Functions
Integration of Clinical Criteria into the Training of Deep Models: Application to Glucose Prediction for Diabetic People
Deep Author Name Disambiguation using DBLP Data
Analysis and approximation of mixed-dimensional PDEs on 3D-1D domains coupled with Lagrange multipliers
Tighter bounds on transient moments of stochastic chemical systems
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs
Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions
On the Potential of Digital Twins for Distribution System State Estimation with Randomly Missing Data in Heterogeneous Measurements
Validation of an Artificial Intelligence Tool for the Detection of Sperm DNA Fragmentation Using the TUNEL In Situ Hybridization Assay
Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models
Design aesthetics recommender system based on customer profile and wanted affect
Predicting Accurate Hot Spots in a More Than Ten-Thousand-Core GPU with a Million-Time Speedup over FEM Enabled by a Physics-based Learning Algorithm
Collaborative Evolution of Intelligent Agents in Large-Scale Microservice Systems
The Joint Gromov Wasserstein Objective for Multiple Object Matching
Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software
Going Beneath the Surface: Evaluating Image Captioning for Grammaticality, Truthfulness and Diversity
CDPAM: Contrastive learning for perceptual audio similarity
MP-CodeCheck: Evolving Logical Expression Code Anomaly Learning with Iterative Self-Supervision
Minimal Solutions for Relative Pose with a Single Affine Correspondence
How good are LLMs at Retrieving Documents in a Specific Domain?
A Novel Image Segmentation Enhancement Technique based on Active Contour and Topological Alignments
Users Issues in using the Internet of Things Systems
Computational complexity of solving polynomial differential equations over unbounded domains with non-rational coefficients
Automatic Extraction of Relevant Road Infrastructure using Connected vehicle data and Deep Learning Model
Characterizing the Usage and Impact of Java Annotations Over 1000+ Projects
A Unified Model for Cardinality Estimation by Learning from Data and Queries via Sum-Product Networks
Understanding the Impact of Graph Reduction on Adversarial Robustness in Graph Neural Networks
Optimal Data Splitting in Distributed Optimization for Machine Learning
An Architecture for Privacy-Preserving Telemetry Scheme
Non-Archimedean Welch Bounds and Non-Archimedean Zauner Conjecture
Numerical analysis of shell-based geometric image inpainting algorithms and their semi-implicit extension
Declaratively solving Google Code Jam problems with Picat
OneTrack-M: A multitask approach to transformer-based MOT models
Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective
Information-Theoretic Secure and Private Voting System
Understanding Decision-Time vs. Background Planning in Model-Based Reinforcement Learning
Language-Guided Generation of Physically Realistic Robot Motion and Control
Modularity Optimization as a Training Criterion for Graph Neural Networks
A Simple Solution to the Level-Ancestor Problem
Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages
Coarse Correspondence Elicit 3D Spacetime Understanding in Multimodal Language Model
Flexible Counterfactual Explanations with Generative Models
Clustering and Alignment: Understanding the Training Dynamics in Modular Addition
Generating Searchable Public-Key Ciphertexts with Hidden Structures for Fast Keyword Search
Forget-me-block: Exploring digital preservation strategies using Distributed Ledger Technology in the context of personal information management
A Multilevel Approach to Topology-Aware Collective Operations in Computational Grids
Using Company Specific Headlines and Convolutional Neural Networks to Predict Stock Fluctuations
Using Formal Verification to Evaluate Single Event Upsets in a RISC-V Core
GeneSUM: Large Language Model-based Gene Summary Extraction
Direct closed-loop identification of continuous-time systems using fixed-pole observer model
Toward computing sensitivities of average quantities in turbulent flows
Explaining Graph Neural Networks for Node Similarity on Graphs
A flexible, extensible software framework for model compression based on the LC algorithm
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption
Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging
RBF Solver for Quaternions Interpolation
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things
A three-step machine learning approach to predict market bubbles with financial news
Virtual information system on working area
Advanced Deep Learning Architectures for Accurate Detection of Subsurface Tile Drainage Pipes from Remote Sensing Images
Smarter Cities with Parked Cars as Roadside Units
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier
Task-Aware Multi-Expert Architecture For Lifelong Deep Learning
A Reinforcement Learning Environment For Job-Shop Scheduling
Generalized Proportional Allocation Mechanism Design for Multi-rate Multicast Service on the Internet
XplainAct: Visualization for Personalized Intervention Insights
A Hybrid Systems-based Hierarchical Control Architecture for Heterogeneous Field Robot Teams
Generative Adversarial Reviews: When LLMs Become the Critic
The generalized trifference problem
Automating Gamification Personalization: To the User and Beyond
Opinion: Towards Unified Expressive Policy Optimization for Robust Robot Learning
Antitrust, Amazon, and Algorithmic Auditing