yusuke1997/dblp-id-title huggingface dataset:
Identification and Measurement of Technical Debt Requirements in Software Development: a Systematic Literature Review
Analysis of Kinetic Models for Label Switching and Stochastic Gradient Descent
Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction
The Global R-linear Convergence of Nesterov's Accelerated Gradient Method with Unknown Strongly Convex Parameter
Cloud Computing: Exploring the scope
A second-order dynamical low-rank mass-lumped finite element method for the Allen-Cahn equation
Fully Analyzing an Algebraic Polya Urn Model
Fairer citation-based metrics
Identity-Aware Large Language Models require Cultural Reasoning
DL 3 M: A Vision-to-Language Framework for Expert-Level Medical Reasoning through Deep Learning and Large Language Models
Non-linear Control of the Power Injected Into a Weak Grid by a Self-Synchronized Inverter
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression
Multisymplectic Formulation of Deep Learning Using Mean-Field Type Control and Nonlinear Stability of Training Algorithm
Multivariate Diffusion Transformer with Decoupled Attention for High-Fidelity Mask-Text Collaborative Facial Generation
Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems
Deep-OFDM: Neural Modulation for High Mobility
Some Problems of Deployment and Navigation of Civilian Aerial Drones
Conditional Uncorrelation and Efficient Non-approximate Subset Selection in Sparse Regression
Relative Depth Order Estimation Using Multi-scale Densely Connected Convolutional Networks
Adaptive fractional order graph neural network
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning
q-ary Propelinear Perfect Codes from the Regular Subgroups of the GA(r, q) and Their Ranks
Deep Convolutional Networks on Graph-Structured Data
D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing
Interplay of Probabilistic Shaping and the Blind Phase Search Algorithm
Differentiable Microscopy Designs an All Optical Quantitative Phase Microscope
OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal Inpainting
Quantum Computing, NP-complete Problems and Chaotic Dynamics
Product distribution learning with imperfect advice
Emotion Knowledge Enhancement for Vision Large Language Models: A Self-Verification Approach for High-Quality Emotion Instruction Data Generation
EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex Structures
Predicting Chroma from Luma with Frequency Domain Intra Prediction
Improved YOLOv12 with LLM-Generated Synthetic Data for Enhanced Apple Detection and Benchmarking Against YOLOv11 and YOLOv10
Wikipedia in academia as a teaching tool: from averse to proactive faculty profiles
Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models
Caformer: Rethinking Time Series Analysis from Causal Perspective
On the Theory of Continual Learning with Gradient Descent for Neural Networks
Reduced-rank Adaptive Constrained Constant Modulus Beamforming Algorithms based on Joint Iterative Optimization of Filters
Deterministic Inference of Neural Stochastic Differential Equations
Model Imitation for Model-Based Reinforcement Learning
Incorporating Supervised Domain Generalization into Data Augmentation
Neural 360° Structured Light with Learned Metasurfaces
Constella: Supporting Storywriters' Interconnected Character Creation through LLM-based Multi-Agents
Dynamic Double Directional Propagation Channel Measurements at 28 GHz
Big Macs and Eigenfactor Scores: Don't Let Correlation Coefficients Fool You
Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation
Even Heads Fix Odd Errors: Mechanistic Discovery and Surgical Repair in Transformer Attention
Finding overlapping communities in networks by label propagation
Efficient and Sharp Off-Policy Learning under Unobserved Confounding
SciBlog : A Tool for Scientific Collaboration
Monitoring Hyperproperties With Prefix Transducers
A Comprehensive Review of Deep Learning-based Single Image Super-resolution
A conservative multiscale method for stochastic highly heterogeneous flow
Least Squares Maximum and Weighted Generalization-Memorization Machines
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT
Rare Galaxy Classes Identified In Foundation Model Representations
Stampede Alert Clustering Algorithmic System Based on Tiny-Scale Strengthened DETR
PIWD: A Plugin-based Framework for Well-Designed SPARQL
SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions
Prompting Vision Language Model with Knowledge from Large Language Model for Knowledge-Based VQA
OVNS: Opportunistic Variable Neighborhood Search for Heaviest Subgraph Problem in Social Networks
Segment-based fusion of multi-sensor multi-scale satellite soil moisture retrievals
Zero shot framework for satellite image restoration
Eradicating Computer Viruses on Networks
COLD: Towards the Next Generation of Pre-Ranking System
Stencil: Subject-Driven Generation with Context Guidance
Skellam Rank: Fair Learning to Rank Algorithm Based on Poisson Process and Skellam Distribution for Recommender Systems
Deep Multi-Task Learning for Malware Image Classification
Los fact-checkers iberoamericanos frente a la COVID-19. Análisis de actividad en Facebook / The Ibero-American fact-checkers facing the COVID-19. Analysis of activity on Facebook
The Impact of Memory Models on Software Reliability in Multiprocessors
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks
On computing tree and path decompositions with metric constraints on the bags
Congruence permutability is prime
Agent READMEs: An Empirical Study of Context Files for Agentic Coding
SQL Query Completion for Data Exploration
Teaching a Language Model to Speak the Language of Tools
Meaningful Context, a Red Flag, or Both? Users' Preferences for Enhanced Misinformation Warnings on Twitter
Two Particle-in-Grid Realisations on Spacetrees
Collaborative Song Dataset (CoSoD): An annotated dataset of multi-artist collaborations in popular music
Ultra-Efficient Contracts: Breaking the Substitutes Barrier in Combinatorial Contracts
A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems
Seemo: A new tool for early design window view satisfaction evaluation in residential buildings
Technological evaluation of two AFIS systems
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis
DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections
Controlled Update of Software Components using Concurrent Exection of Patched and Unpatched Versions
Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems
Dynamic Prompting: A Unified Framework for Prompt Tuning
Maximal Covering Location Problem: A Set Coverage Approach Using Dynamic Programming
Motion Control of Two Mobile Robots under Allowable Collisions
Accelerating GNN Training through Locality-aware Dropout and Merge
Recent results on searches with boosted Higgs bosons at CMS
LLM-PySC2: Starcraft II learning environment for Large Language Models
Adaptive Network Selection for Latency-Aware V2X Systems under Varying Network and Vehicle Densities
Bayesian Joint Additive Factor Models for Multiview Learning
Vulnerability Detection in Open Source Software: An Introduction
Magic Sets for Disjunctive Datalog Programs
Graph Learning with 1D Convolutions on Random Walks
DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation
Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks
A Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions
Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective
Is Your Load Generator Launching Web Requests in Bunches?
A Multivariate Biomarker for Parkinson's Disease
Selecting Critical Scenarios of DER Adoption in Distribution Grids Using Bayesian Optimization
Some Ideas for Program Verifier Tactics
TransGPT: Multi-modal Generative Pre-trained Transformer for Transportation
Designing an Android Application for Bills Segregation
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models
ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges
Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture
Optimal Online Two-way Trading with Bounded Number of Transactions
Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair
Living in Living Cities
Black-Box Edge AI Model Selection with Conformal Latency and Accuracy Guarantees
A Transformer-Conditioned Neural Fields Pipeline with Polar Coordinate Representation for Astronomical Radio Interferometric Data Reconstruction
Towards Predicting the Impact of Software Changes on Building Activities
A numerical algorithm with linear complexity for Multi-marginal Optimal Transport with L 1 Cost
Development of a hardware-In-the-Loop (HIL) testbed for cyber-physical security in smart buildings
Heterogeneous Multi-core Array-based DNN Accelerator
Atomic-Scale Insights into the Switching Mechanisms of RRAM Devices
A Vision for Flexibile GLSP-based Web Modeling Tools
Generalizable Graph Neural Networks for Robust Power Grid Topology Control
A Customized Lattice Reduction Multiprocessor for MIMO Detection
In Search of a Key Value Store with High Performance and High Availability
Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Study
Revisiting Multivariate Time Series Forecasting with Missing Values
Common Conversational Community Prototype: Scholarly Conversational Assistant
Minimax Capacity Loss under Sub-Nyquist Universal Sampling
Multiplicative Latent Force Models
DL-PIM: Improving Data Locality in Processing-in-Memory Systems
A Note on Local Convergence of Iterative Processes for Pipe Network Analysis
On the space complexity of one-pass compression
Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting
Compressed Sensing on the Image of Bilinear Maps
Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation
A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks
Deep Learning for Automatic Stereotypical Motor Movement Detection using Wearable Sensors in Autism Spectrum Disorders
Region of Interest Identification for Brain Tumors in Magnetic Resonance Images
Adaptive Submodular Optimization under Matroid Constraints
Neural Scaling Laws on Graphs
Modeling the Construction of a Literary Archetype: The Case of the Detective Figure in French Literature
AdamMC: A Model Checker for Petri Nets with Transits against Flow-LTL (Full Version)
BoFire: Bayesian Optimization Framework Intended for Real Experiments
Improving a sequence-to-sequence nlp model using a reinforcement learning policy algorithm
Predicting Efficiency in master-slave grid computing systems
On the Orbits of Similarity Classes of Tetrahedra Generated by the Longest-Edge Bisection Algorithm
Living Off the LLM: How LLMs Will Change Adversary Tactics
On Optimizing Human-Machine Task Assignments
AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
Time-varying Signals Recovery via Graph Neural Networks
Artificial and beneficial - Exploiting artificial images for aerial vehicle detection
Cascaded deep monocular 3D human pose estimation with evolutionary training data
Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies
Introduction to Redberry: the computer algebra system designed for tensor manipulation
Deep learning for in vitro prediction of pharmaceutical formulations
Understanding the QuickXPlain Algorithm: Simple Explanation and Formal Proof
An algorithm for reconstruction of triangle-free linear dynamic networks with verification of correctness
MixedGrad: An O(1/T) Convergence Rate Algorithm for Stochastic Smooth Optimization
Efficient Implicit Neural Compression of Point Clouds via Learnable Activation in Latent Space
Name: A Naming Mechanism for Delay/Disruption-Tolerant Network
Implementing the fanout operation with simple pairwise interactions
A Two-Step Darwin Model Time Domain Formulation for Quasistatic Electromagnetic Field Calculations
The Average Patient Fallacy
Assessing the Robustness of Retrieval-Augmented Generation Systems in K-12 Educational Question Answering with Knowledge Discrepancies
Space-Efficient Bimachine Construction Based on the Equalizer Accumulation Principle
Learn to Guide Your Diffusion Model
Free energy computation of particles with membrane-mediated interactions via Langevin dynamics
CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning
Simultaneous independent image display technique on multiple 3D objects
Managing large-scale scientific hypotheses as uncertain and probabilistic data
An Introduction to Matrix factorization and Factorization Machines in Recommendation System, and Beyond
Components of Machine Learning: Binding Bits and FLOPS
Curiosity-driven reinforcement learning with homeostatic regulation
Modeling Implicit Communities using Spatio-Temporal Point Processes from Geo-tagged Event Traces
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT
$(1, j)$-set problem in graphs
Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks
Robust Binary Hypothesis Testing Under Contaminated Likelihoods
Flexoskeleton printing for versatile insect-inspired robots
Data-Driven Knowledge Transfer in Batch Q * Learning
Usage Bibliometrics as a Tool to Measure Research Activity
Oranits: Mission Assignment and Task Offloading in Open RAN-based ITS using Metaheuristic and Deep Reinforcement Learning
Automated Audio Captioning with Recurrent Neural Networks
Multi-agent based modeling for investigating excess heat utilization from electrolyzer production to district heating network
The Kuenneth formula for graphs
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding
An Efficient Index for Contact Tracing Query in a Large Spatio-Temporal Database
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Scale-free weak output synchronization of multi-agent systems with adaptive protocols
A Novel Differentiable Loss Function for Unsupervised Graph Neural Networks in Graph Partitioning
Yedrouj-Net: An efficient CNN for spatial steganalysis
Disentangling semantic features of macromolecules in Cryo-Electron Tomography
Private Variable-Length Coding with Non-zero Leakage
Impact of Motor Stator Winding Faults on Common-Mode Current
SPLF-SAM: Self-Prompting Segment Anything Model for Light Field Salient Object Detection
Agent-Based Modelling of Older Adult Needs for Autonomous Mobility-on-Demand: A Case Study in Winnipeg, Canada
Secure and Efficiently Searchable IoT Communication Data Management Model: Using Blockchain as a new tool
Topological Features of Online Social Networks
Generating Semantically Valid Adversarial Questions for TableQA
Clustering Learning for Robotic Vision
Energy optimization for Full-Duplex Wireless-Powered IoT Networks using Rotary-Wing UAV with Multiple Antennas
Automatic Generation of Programming Exercises
ManiPose: A Comprehensive Benchmark for Pose-aware Object Manipulation in Robotics
On Evaluating the Quality of Rule-Based Classification Systems
Supporting Context Monotonicity Abstractions in Neural NLI Models
GraphFuzz: Automated Testing of Graph Algorithm Implementations with Differential Fuzzing and Lightweight Feedback
Critical Analysis: Bat Algorithm based Investigation and Application on Several Domains
How to Prove the Optimized Values of Hyperparameters for Particle Swarm Optimization?
Benchmarking zero-shot and few-shot approaches for tokenization, tagging, and dependency parsing of Tagalog text
Avalanche Prediction and Dynamics using Temperature Variance , Grain Size Variance and Flow Regimes
Good, Better, Best: Textual Distractors Generation for Multi-Choice VQA via Policy Gradient
Adjacent-level Feature Cross-Fusion with 3D CNN for Remote Sensing Image Change Detection
An Intelligent Network Selection Strategy Based on MADM Methods in Heterogeneous Networks
A Review on Feature-Mapping Methods for Structural Optimization
NumPSLA - An experimental research tool for pseudoline arrangements and order types
Control Flow-Augmented Decompiler based on Large Language Model
Sequence-to-sequence Singing Synthesis Using the Feed-forward Transformer
Construct accurate multi-continuum micromorphic homogenisations in multi-D space-time with computer algebra
Team RUC_AIM3 Technical Report at ActivityNet 2021: Entities Object Localization
Device-to-Device Communications in the Millimeter Wave Band: A Novel Distributed Mechanism
Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking
A variational autoencoder approach for choice set generation and implicit perception of alternatives in choice modeling
Squared Metric Facility Location Problem
Melanoma Recognition with an Ensemble of Techniques for Segmentation and a Structural Analysis for Classification
Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Review of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems
MV-GMN: State Space Model for Multi-View Action Recognition
On the Introduction of Guarded Lists in Bach: Expressiveness, Correctness, and Efficiency Issues
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting
DPPIN: A Biological Dataset of Dynamic Protein-Protein Interaction Networks
Building an Effective Automated Assessment System for C/C++ Introductory Programming Courses in ODL Environment
Estimating the sensitivity of centrality measures w.r.t. measurement errors
CE-FPN: Enhancing Channel Information for Object Detection
The Impact of CSI and Power Allocation on Relay Channel Capacity and Cooperation Strategies
Performance evaluations on the parallel CHAracteristic-Spectral-Mixed (CHASM) scheme
Analysis, Control, and State Estimation for the Networked Competitive Multi-Virus SIR Model
Factorized Adversarial Networks for Unsupervised Domain Adaptation
Enterprise AI Canvas - Integrating Artificial Intelligence into Business
Correlated Node Behavior Model based on Semi Markov Process for MANETS
GeoFlink: A Framework for the Real-time Processing of Spatial Streams
Where Is the Normative Proof? Assumptions and Contradictions in ML Fairness Research
Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering
User Factor Adaptation for User Embedding via Multitask Learning
Fundus2Angio: A Novel Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography
Real-time Driver Monitoring Systems on Edge AI Device
Execution Time of lambda-Terms via Denotational Semantics and Intersection Types
Does your data spark joy? Performance gains from domain upsampling at the end of training
Adaptive Smooth Non-Stationary Bandits
Random Conical Tilt Reconstruction without Particle Picking in Cryo-electron Microscopy
Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features
Pursuit on an Organized Crime Network
Hunt Protagonist of Sentiment: Sentiment Analysis via Capsule Network with Sentiment-Aspect Reconstruction
Multi-Label Classification Methods for Multi-Target Regression
Truthful Aggregation of LLMs with an Application to Online Advertising
Phase recovery from a Bayesian point of view: the variational approach
Arbitrary Reduction of MRI Slice Spacing Based on Local-Aware Implicit Representation
Convergence of a stochastic collocation finite volume method for the compressible Navier-Stokes system
IoTDevID: A Behaviour-Based Fingerprinting Method for Device Identification in the IoT
Language models can learn implicit multi-hop reasoning, but only if they have lots of training data
Visual Representation Learning Guided By Multi-modal Prior Knowledge
Accelerating the Adoption of Disruptive Technologies: The Impact of COVID-19 on Intention to Use Self-Driving Vehicles
Automorphism groups of Gabidulin-like codes
First-Order Bilevel Topology Optimization for Fast Mechanical Design
Adapt CLIP as Aggregation Instructor for Image Dehazing
Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation
Occam factors and model-independent Bayesian learning of continuous distributions
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks
Adaptive event-triggered robust tracking control of soft robots
A Simple Approach to Multilingual Polarity Classification in Twitter
Clipped DeepControl: deep neural network two-dimensional pulse design with an amplitude constraint layer
Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets
Manticore: A 4096-core RISC-V Chiplet Architecture for Ultra-efficient Floating-point Computing
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A Correction-Based Dynamic Enhancement Framework towards Underwater Detection
Mapping and Scheduling Spiking Neural Networks On Segmented Ladder Bus Architectures
Paired Wasserstein Autoencoders for Conditional Sampling
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
Learning Short Codes for Fading Channels with No or Receiver-Only Channel State Information
AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
Ultra-sensitive Flexible Sponge-Sensor Array for Muscle Activities Detection and Human Limb Motion Recognition
Avoiding an AI-imposed Taylor's Version of all music history
SmoothSinger: A Conditional Diffusion Model for Singing Voice Synthesis with Multi-Resolution Architecture
NewtonGen: Physics-Consistent and Controllable Text-to-Video Generation via Neural Newtonian Dynamics
Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future Directions
Inference and FDR Control for Simulated Ising Models in High-dimension
Parallelizing the XSTAR Photoionization Code
Frontend Diffusion: Exploring Intent-Based User Interfaces through Abstract-to-Detailed Task Transitions
New classes of degree sequences with fast mixing swap Markov chain sampling
Decoding Latent Attack Surfaces in LLMs: Prompt Injection via HTML in Web Summarization
A multi-scale framework for neural network enhanced methods to the solution of partial differential equations
Classical Model Predictive Control of a Permanent Magnet Synchronous Motor
Enhancing semantic expressivity in the cultural heritage domain: exposing the Zeri Photo Archive as Linked Open Data
From task structures to world models: What do LLMs know?
Computational speedups using small quantum devices
Graph and Election Problems Parameterized by Feedback Set Numbers
Multi-Horizon Planning of Multi-Energy Systems
MagMax: Leveraging Model Merging for Seamless Continual Learning
A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-based Semantic Scene Understanding
Neural Fidelity Calibration for Informative Sim-to-Real Adaptation
Two Heads Better than One: Dual Degradation Representation for Blind Super-Resolution
ASR-free CNN-DTW keyword spotting using multilingual bottleneck features for almost zero-resource languages
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Two Methods for Iso-Surface Extraction from Volumetric Data and Their Comparison
GraphCombEx: A Software Tool for Exploration of Combinatorial Optimisation Properties of Large Graphs