yusuke1997/dblp-id-title huggingface dataset:
Capacity and Algorithms for a Cognitive Network with Primary-Secondary User Cooperation
DepViT-CAD: Deployable Vision Transformer-Based Cancer Diagnosis in Histopathology
Self-evolving expertise in complex non-verifiable subject domains: dialogue as implicit meta-RL
Assortativity and leadership emergence from anti-preferential attachment in heterogeneous networks
Visually Similar Products Retrieval for Shopsy
Complex Neural Spatial Filter: Enhancing Multi-channel Target Speech Separation in Complex Domain
SSNeRF: Sparse View Semi-supervised Neural Radiance Fields with Augmentation
UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations
A new weakly supervised approach for ALS point cloud semantic segmentation
Answering real-world clinical questions using large language model based systems
EKPC: Elastic Knowledge Preservation and Compensation for Class-Incremental Learning
Multihop RIS-Assisted FSO-RF System Over Double Generalized Gamma Fading
Multimodal Zero-Shot Learning for Tactile Texture Recognition
Mixing Metaphors
Near Field Communications for DMA-NOMA Networks
Computational Complexity of Restricted Diffusion Limited Aggregation
On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency
Multiobjective Logistics Optimization for Automated ATM Cash Replenishment Process
MGP: Un algorithme de planification temps réel prenant en compte l'évolution dynamique du but
Map-Reduce for Multiprocessing Large Data and Multi-threading for Data Scraping
Why robots should be technical: Correcting mental models through technical architecture concepts
DR-Unet104 for Multimodal MRI brain tumor segmentation
Lost in Disclosure: On The Inference of Password Composition Policies
Relevant information in TDD experiment reporting
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead
Decentralized Healthcare Systems with Federated Learning and Blockchain
Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge
Totally Corrective Boosting for Regularized Risk Minimization
Optimal minimal-perturbation university timetabling with faculty preferences
AI-Powered Learning: Making Education Accessible, Affordable, and Achievable
Autonomous Orbital Correction for Nano Satellites Using J2 Perturbation and LSTM Networks
Investigations of c-Differential Uniformity of Permutations with Carlitz Rank 3
Soft Skills and Software Development: A Reflection from the Software Industry
How to solve Quantum Optimal Control Problems using Projection Operator-based Newton Steps
Digital Twin-based Control Co-Design of Full Vehicle Active Suspensions via Deep Reinforcement Learning
Through-Wall Tracking Using Variance-Based Radio Tomography Networks
ViSTA: Visual Storytelling using Multi-modal Adapters for Text-to-Image Diffusion Models
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience
Heuristics for Routing and Spiral Run-time Task Mapping in NoC-based Heterogeneous MPSOCs
Design and Optimization of Big Data and Machine Learning-Based Risk Monitoring System in Financial Markets
Reduced Graphene Oxide Tattoo as Wearable Proximity Sensor
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Finding tensor decompositions with sparse optimization
A time-varying study of Chinese investor sentiment, stock market liquidity and volatility: Based on deep learning BERT model and TVP-VAR model
Anime Popularity Prediction Before Huge Investments: a Multimodal Approach Using Deep Learning
Deserialization Gadget Chains are not a Pathological Problem in Android:an In-Depth Study of Java Gadget Chains in AOSP
Effective Data Aggregation using a Hierarchical Multi-layered Scheme for Large-scale Sensor Networks
UltraPINK - New possibilities to explore Self-Organizing Kohonen Maps
Optimized Distributed Inter-cell Interference Coordination (ICIC) Scheme using Projected Subgradient and Network Flow Optimization
Reducing the cost of posterior sampling in linear inverse problems via task-dependent score learning
More chemical detection through less sampling: amplifying chemical signals in hyperspectral data cubes through compressive sensing
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
A joint communication and application simulator for NoC-based SoCs
Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Building High-accuracy Multilingual ASR with Gated Language Experts and Curriculum Training
Efficient Two-Step Adversarial Defense for Deep Neural Networks
Inclusion within Continuous Belief Functions
An Intelligent Fire Alert System using Wireless Mobile Communication
A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks
EuroLLM-9B: Technical Report
Turning Privacy Constraints into Syslog Analysis Advantage
FN-Net: Remove the Outliers by Filtering the Noise
UniCoR: Modality Collaboration for Robust Cross-Language Hybrid Code Retrieval
SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence
Modularity and Openness in Modeling Multi-Agent Systems
INSET: Sentence Infilling with Inter-sentential Generative Pre-training
Generalizable Humanoid Manipulation with Improved 3D Diffusion Policies
Constrained Shape Analysis with Applications to RNA Structure
ICT in Local Self Governance: A Study of Rural India
PopAlign: Population-Level Alignment for Fair Text-to-Image Generation
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
Visual Evaluation of Generative Adversarial Networks for Time Series Data
Cooperative Cognitive Radio Network with Energy Harvesting: Stability Analysis
Improving snore detection under limited dataset through harmonic/percussive source separation and convolutional neural networks
Decentralized Policy Gradient for Nash Equilibria Learning of General-sum Stochastic Games
Smile and Laugh Expressions Detection Based on Local Minimum Key Points
The K-User Interference Channel: Strong Interference Regime
Superposition in Graph Neural Networks
Self-organisation of common good usage and an application to Internet services
Optimal Power Allocation for Outage Minimization in Fading Channels with Energy Harvesting Constraints
Power Control and Coding Formulation for State Estimation with Wireless Sensors
Platform for generating medical datasets for machine learning in public health
Synthesizing High-Quality Programming Tasks with LLM-based Expert and Student Agents
The Chef's Hat Simulation Environment for Reinforcement-Learning-Based Agents
Detectability thresholds of general modular graphs
SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity
Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time
BAT.jl - A Julia-based tool for Bayesian inference
Computational Complexity of Model-Checking Quantum Pushdown Systems
Optimal parallel quantum query algorithms
SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models
In Praise of Impredicativity: A Contribution to the Formalisation of Meta-Programming
Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis
Manifold learning and optimization using tangent space proxies
Measuring the Stability of EHR- and EKG-based Predictive Models
On Lattice Constructions D and D' from q-ary Linear Codes
Retrieval Replace Reduction: An effective visual token reduction method via semantic match
The impact of the following vehicles behaviors on the car following behaviors of the ego-vehicle
Instance-optimality in optimal value estimation: Adaptivity via variance-reduced Q-learning
The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs
Creating quantum-resistant classical-classical OWFs from quantum-classical OWFs
Bauer's Spectral Factorization Method for Low Order Multiwavelet Filter Design
Simultaneous Improvement of ML Model Fairness and Performance by Identifying Bias in Data
The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy
Multimodal Analysis of memes for sentiment extraction
Overview of Visualization Tools for Web Browser History Data
B-spline freeform surface tailoring for prescribed irradiance based on differentiable ray-tracing
Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
R-Block: Regularized Block of Dropout for convolutional networks
(m,k)-firm constraints and DBP: counter-intuitive phenomena and exact feasibility test
Class-conditional embeddings for music source separation
DeepSatData: Building large scale datasets of satellite images for training machine learning models
Boson-Sampling in the light of sample complexity
Deflating the Chinese Balloon: Types of Twitter Bots in US-China balloon incident
The Use Of The Cloud-based Learning Component With The MAXIMA System For Teaching Operations Research
Explicit stabilized multirate method for stiff stochastic differential equations
Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers
Optimizing Throughput Fairness of Cluster-based Cooperation in Underlay Cognitive WPCNs
MIORe & VAR-MIORe: Benchmarks to Push the Boundaries of Restoration
Evaluating the Self-Optimization Process of the Adaptive Memory Management Architecture Self-aware Memory
Using Optimal Ratio Mask as Training Target for Supervised Speech Separation
[1, 2]-sets and [1, 2]-total Sets in Trees with Algorithms
From FPT Decision to FPT Enumeration
MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers
Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models
CopyLens: Dynamically Flagging Copyrighted Sub-Dataset Contributions to LLM Outputs
The Light of Existence
An open-source framework for ExpFinder integrating N-gram Vector Space Model and μCO-HITS
Entropic Associative Memory for Manuscript Symbols
Energy Efficient Symbol-Level Precoding in Multiuser MISO Channels
Graph Transformers: A Survey
Patterns of Creativity: How User Input Shapes AI-Generated Visual Diversity
Engineering Artificial Intelligence: Framework, Challenges, and Future Direction
Energy-based Assessment and Driving Behavior of ACC Systems and Humans Inside Platoons
How circular economy and industrial ecology concepts are intertwined? A bibliometric and text mining analysis
Full-Duplex Amplify-and-Forward MIMO Relaying: Impairments Aware Design and Performance Analysis
An Algorithmic Approach to Line Construction in Existing Transit Networks
Modeling adult skeletal stem cell response to laser-machined topographies through deep learning
Dictionary-Learning-Based Data Pruning for System Identification
Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms
Formalising the Bruhat-Tits Tree
Evaluating the Retrieval Robustness of Large Language Models
A Coded Bit-Loading Linear Precoded Discrete Multitone Solution for Power Line Communication
Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer
Phylogenetic mixtures: Concentration of measure in the large-tree limit
Efficient Behavior-consistent Calibration for Multi-agent Market Simulation
A Deep Neuro-Fuzzy Network for Image Classification
This looks like what? Challenges and Future Research Directions for Part-Prototype Models
ICM-SR: Image-Conditioned Manifold Regularization for Image Super-Resoultion
Self-organization in social tagging systems
Unshredding of Shredded Documents: Computational Framework and Implementation
MolMix: A Simple Yet Effective Baseline for Multimodal Molecular Representation Learning
Accounting for Secondary Uncertainty: Efficient Computation of Portfolio Risk Measures on Multi and Many Core Architectures
Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy
A Contemporary Overview: Trends and Applications of Large Language Models on Mobile Devices
WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data
Infinitary Queries in Spatial Databases
Adaptive Direction-Guided Structure Tensor Total Variation
Time-Inconsistent Planning: A Computational Problem in Behavioral Economics
Twin-Load: Building a Scalable Memory System over the Non-Scalable Interface
Cluster Before You Hallucinate: Approximating Node-Capacitated Network Design and Energy Efficient Routing
Statistical learning of structure-property relationships for transport in porous media, using hybrid AI modeling
SCOPE: Sequential Causal Optimization of Process Interventions
Encapsulation Structure and Dynamics in Hypergraphs
Electric Motor Design Optimization: A Convex Surrogate Modeling Approach
Sharpened PCG Iteration Bound for High-Contrast Heterogeneous Scalar Elliptic PDEs
Layer Pruning with Consensus: A Triple-Win Solution
Differential uniformity and costacyclic code from some power mapping
Ferrohydrodynamic Microfluidics for Bioparticle Separation and Single-Cell Phenotyping: Principles, Applications, and Emerging Directions
Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network
Attention-Driven Hierarchical Reinforcement Learning with Particle Filtering for Source Localization in Dynamic Fields
Deep Learning of Radiative Atmospheric Transfer with an Autoencoder
Towards Privacy-Preserving Speech Representation for Client-Side Data Sharing
Segmentation Beyond Defaults: Asymmetrical Byte Pair Encoding for Optimal Machine Translation Performance
Dynamic Task Adaptation for Multi-Robot Manufacturing Systems with Large Language Models
Towards Learning Causal Representations from Multi-Instance Bags
Mathematics and implementation details of a block MINRES algorithm
Optimizing Surveillance Satellites for the Synthetic Theater Operations Research Model
Checkpointing strategies with prediction windows
Comparing Learning Paradigms for Egocentric Video Summarization
Communication Cost of Transforming a Nearest Plane Partition to the Voronoi Partition
Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making
Physics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controls
MOPAR: A Model Partitioning Framework for Deep Learning Inference Services on Serverless Platforms
How many vertex locations can be arbitrarily chosen when drawing planar graphs?
Preserving Peer Replicas By Rate-Limited Sampled Voting in LOCKSS
SALR: Sharpness-aware Learning Rates for Improved Generalization
Deepfake Representation with Multilinear Regression
How to estimate epidemic risk from incomplete contact diaries data?
Forecasting Patient Demand at Urgent Care Clinics using Machine Learning
An Annotated Corpus of Relational Strategies in Customer Service
Automated Triaging and Transfer Learning of Incident Learning Safety Reports Using Large Language Representational Models
FaaSched: A Jitter-Aware Serverless Scheduler
Securing Instrumented Environments over Content-Centric Networking: the Case of Lighting Control
Scale-Preserving Automatic Concept Extraction (SPACE)
Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study
The Specification of Sugarscape
Extended Object Tracking and Classification based on Linear Splines
Second-order robust parallel integrators for dynamical low-rank approximation
Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning Course
Active Cooling Device: A Flexible, Lab-Scale Experimental Unit to Develop Spatio-Temporal Temperature Control Strategies
Quantum Hoare Type Theory
Sentiment Analysis of Persian Language: Review of Algorithms, Approaches and Datasets
Adapting Auxiliary Losses Using Gradient Similarity
Qualitative and numerical aspects of a motion of a family of interacting curves in space
Quantum Lambda Calculi with Classical Control: Syntax and Expressive Power
Raspberry Pi Based Intelligent Robot that Recognizes and Places Puzzle Objects
Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation
Why Don't Developers Detect Improper Input Validation?'; DROP TABLE Papers; -
Resource-Aware Arabic LLM Creation: Model Adaptation, Integration, and Multi-Domain Testing
Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers
Termination Analysis for the π-Calculus by Reduction to Sequential Program Termination
(Almost) Affine Higher-Order Tree Transducers
Gradient-only line searches: An Alternative to Probabilistic Line Searches
A Spatio-Temporal Graph Neural Networks Approach for Predicting Silent Data Corruption inducing Circuit-Level Faults
Can LLMs be Good Graph Judger for Knowledge Graph Construction?
Evolution of a Subsumption Architecture Neurocontroller
Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding Metropolises
Efficient Single Image Super Resolution using Enhanced Learned Group Convolutions
Quantum-Resistant Networks Using Post-Quantum Cryptography
Bounds on the Achievable Rate of Noisy feedback Gaussian Channels under Linear Feedback Coding Scheme
PGCLODA: Prompt-Guided Graph Contrastive Learning for Oligopeptide-Infectious Disease Association Prediction
Quasi-Mandelbrot sets for perturbed complex analytic maps: visual patterns
Reconstructing physiological signals from fMRI across the adult lifespan
Like, Comment, Repin: User Interaction on Pinterest
AI For Global Climate Cooperation 2023 Competition Proceedings
Description of the Training Process of Neural Networks via Ergodic Theorem : Ghost nodes
Owlgorithm: Supporting Self-Regulated Learning in Competitive Programming through LLM-Driven Reflection
AI-Driven Feedback Loops in Digital Technologies: Psychological Impacts on User Behaviour and Well-Being
Parallel implematation of flow and matching algorithms
On The Optimality of The Whittle's Index Policy For Minimizing The Age of Information
Dynamics and Allocation of Transaction Cost in Multiagent Industrial Symbiosis
ASR Context-Sensitive Error Correction Based on Microsoft N-Gram Dataset
Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification
Prover Agent: An Agent-based Framework for Formal Mathematical Proofs
Correctly Communicating Software: Distributed, Asynchronous, and Beyond (extended version)
Filling Factors of Sunspots in SODISM Images
A portable coding strategy to exploit vectorization on combustion simulations
Auctioning based Coordinated TV White Space Spectrum Sharing for Home Networks
From Hand-Crafted Metrics to Evolved Training-Free Performance Predictors for Neural Architecture Search via Genetic Programming
Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias
Collision-free Operation in High Density WLAN Deployments
2D Matryoshka Sentence Embeddings
A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction
Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning
Adversarially Robust Detection of Harmful Online Content: A Computational Design Science Approach
An Ultra Fast Low Power Convolutional Neural Network Image Sensor with Pixel-level Computing
Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC
An extended Fourier pseudospectral method for the Gross-Pitaevskii equation with low regularity potential
The Impact of Student Writing Assessment Literacy on Psychological Factors: An Ordinal Logistic Regression Analysis
A Memetic Algorithm Based on Breakout Local Search for the Generalized Travelling Salesman Problem
ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments
Safe Interaction via Monte Carlo Linear-Quadratic Games
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks
Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network
Data-driven quantitative analysis of an integrated open digital ecosystems platform for user-centric energy retrofits: A case study in Northern Sweden
Efficient Encoding of Graphics Primitives with Simplex-based Structures
REM: Evaluating LLM Embodied Spatial Reasoning through Multi-Frame Trajectories
X-Talk: On the Underestimated Potential of Modular Speech-to-Speech Dialogue System
Kernelized offset-free data-driven predictive control for nonlinear systems
Computationally Efficient Implementation of a Hamming Code Decoder using a Graphics Processing Unit
Submanifold Sparse Convolutional Networks for Automated 3D Segmentation of Kidneys and Kidney Tumours in Computed Tomography
Games Where You Can Play Optimally with Finite Memory
Supervised Hashing based on Energy Minimization
Structure-Preserving Transformers for Learning Parametrized Hamiltonian Systems
Automated Testing with Temporal Logic Specifications for Robotic Controllers using Adaptive Experiment Design
Adversarial Representation Sharing: A Quantitative and Secure Collaborative Learning Framework
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework
MENTOR: A Reinforcement Learning Framework for Enabling Tool Use in Small Models via Teacher-Optimized Rewards
Regexes are Hard: Decision-making, Difficulties, and Risks in Programming Regular Expressions
A PMU-based Multivariate Model for Classifying Power System Events
Design and Implementation of Domain based Semantic Hidden Web Crawler
Multimodal Fact Checking with Unified Visual, Textual, and Contextual Representations
Analog Versus Hybrid Precoding for Multiuser Massive MIMO with Quantized CSI Feedback
Monocular Visual Odometry with a Rolling Shutter Camera
Challenging Machine Learning-based Clone Detectors via Semantic-preserving Code Transformations
Transfer Language Selection for Zero-Shot Cross-Lingual Abusive Language Detection
Discovering novel systemic biomarkers in photos of the external eye
A Preliminary Add-on Differential Drive System for MRI-Compatible Prostate Robotic System
Robustcaps: a transformation-robust capsule network for image classification
When Lighting Deceives: Exposing Vision-Language Models' Illumination Vulnerability Through Illumination Transformation Attack
A journey in modal proof theory: From minimal normal modal logic to discrete linear temporal logic
Is modern science evolving in the wrong direction?
Executable Refinement Types
Developing Vision-Language-Action Model from Egocentric Videos
Server Structure Proposal and Automatic Verification Technology on IaaS Cloud of Plural Type Servers
Digit Recognition in Handwritten Weather Records
Deep Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition
Pilot-Free Unsourced Random Access Via Dictionary Learning and Error-Correcting Codes
Scheduling Distributed Flexible Assembly Lines using Safe Reinforcement Learning with Soft Shielding
A Parallel Hierarchical Approach for Community Detection on Large-scale Dynamic Networks
Learning for Cross-Layer Resource Allocation in MEC-Aided Cell-Free Networks
On Embedding De Bruijn Sequences by Increasing the Alphabet Size
An Anytime Algorithm for Task and Motion MDPs
Parallel Protein Community Detection in Large-scale PPI Networks Based on Multi-source Learning
Operational Advice for Dense and Sparse Retrievers: HNSW, Flat, or Inverted Indexes?
P2P-Loc: Point to Point Tiny Person Localization
On the Multiplexing Gain of K-user Partially Connected Interference Channel
The pdf-mpc Package: A Free-Matlab-Coder package for Real-Time Nonlinear Model Predictive Control
Age of Estimates: When to Submit Jobs to a Markov Machine to Maximize Revenue
Kaleidoscopic Teaming in Multi Agent Simulations
HACCLE: An Ecosystem for Building Secure Multi-Party Computations
Pred&Guide: Labeled Target Class Prediction for Guiding Semi-Supervised Domain Adaptation
Toward Autonomous Reconfigurable Intelligent Surfaces Through Wireless Energy Harvesting