yusuke1997/dblp-id-title huggingface dataset:
Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction
Unsupervised machine learning for physical concepts
Discrete Restricted Boltzmann Machines
SpeedMachines: Anytime Structured Prediction
Mobility can drastically improve the heavy traffic performance from 1/(1-rho) to -log(1-rho)
Physics-Aware Heterogeneous GNN Architecture for Real-Time BESS Optimization in Unbalanced Distribution Systems
InputDSA: Demixing then Comparing Recurrent and Externally Driven Dynamics
C 0 -hybrid high-order methods for biharmonic problems
Multi-user Wireless Image Semantic Transmission over MIMO Multiple Access Channels
On the Impact of Output Perturbation on Fairness in Binary Linear Classification
Scalable Architecture for Personalized Healthcare Service Recommendation using Big Data Lake
TERIME: An improved RIME algorithm with enhanced exploration and exploitation for robust parameter extraction of photovoltaic models
EconEvals: Benchmarks and Litmus Tests for LLM Agents in Unknown Environments
Low Complexity V-BLAST MIMO-OFDM Detector by Successive Iterations Reduction
Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity Principles
Intermittent Control in Man and Machine
Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model
C-PASS: Center-Fed Pinching Antenna System
Discriminate natural versus loudspeaker emitted speech
A mortar-type finite element approach for embedding 1D beams into 3D solid volumes
ReLU and Addition-based Gated RNN
Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have to Act Randomly and Society Seems to Accept This
Cyber-Physical Security of Vehicles: Zero Dynamics Attacks Against Vehicle's Lateral Dynamics
On Kinds of Indiscernibility in Logic and Metaphysics
Zak-OTFS with Interleaved Pilots to Extend the Region of Predictable Operation
On the performance of downlink NOMA in underlay spectrum sharing
IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
Duals of Orphan-Free Anisotropic Voronoi Diagrams are Triangulations
Gray Image extraction using Fuzzy Logic
From Verification to Causality-based Explications
A Fast Anti-Jamming Cognitive Radar Deployment Algorithm Based on Reinforcement Learning
When is an SHM problem a Multi-Task-Learning problem?
Towards A Tri-View Diffusion Framework for Recommendation
Neural Diarization with Non-autoregressive Intermediate Attractors
High Speed CAN Transmission Scheme Supporting Data Rate of over 100 Mbps
Towards Automation of Human Stage of Decay Identification: An Artificial Intelligence Approach
Leyenda: An Adaptive, Hybrid Sorting Algorithm for Large Scale Data with Limited Memory
Think First, Assign Next (ThiFAN-VQA): A Two-stage Chain-of-Thought Framework for Post-Disaster Damage Assessment
Representable Markov Categories and Comparison of Statistical Experiments in Categorical Probability
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Overall Macromolecular Signal
ME R-CNN: Multi-Expert Region-based CNN for Object Detection
CASCADE: Cumulative Agentic Skill Creation through Autonomous Development and Evolution
Textual Entailment and Token Probability as Bias Evaluation Metrics
Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks
Accurate and Scalable Multimodal Pathology Retrieval via Attentive Vision-Language Alignment
Grounding the Experience of a Visual Field through Sensorimotor Contingencies
Duality of Session Types: The Final Cut
Geometric Algebra Model of Distributed Representations
A Comparative Study of Audio Compression Based on Compressed Sensing and Sparse Fast Fourier Transform (SFFT): Performance and Challenges
Developing a Scenario-Based Video Game Generation Framework: Preliminary Results
Should I visit this place? Inclusion and Exclusion Phrase Mining from Reviews
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation
The Solution for the 5th GCAIAC Zero-shot Referring Expression Comprehension Challenge
Cascades on clique-based graphs
Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs
The average singular value of a complex random matrix decreases with dimension
AdaMemento: Adaptive Memory-Assisted Policy Optimization for Reinforcement Learning
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning
Improving Predictions on Highly Unbalanced Data Using Open Source Synthetic Data Upsampling
RPoA: Redefined Proof of Activity
Transparent Networks for Multivariate Time Series
Designing Spontaneous Speech Search Interface for Historical Archives
Human Mimetic Forearm Design with Radioulnar Joint using Miniature Bone-Muscle Modules and Its Applications
Efficient Training of Transfer Mapping in Physics-Infused Machine Learning Models of UAV Acoustic Field
The Flux Operator
AdVAR-DNN: Adversarial Misclassification Attack on Collaborative DNN Inference
Coverage-Driven Verification - An approach to verify code for robots that directly interact with humans
Cooperative searching for stochastic targets
Explanation in Artificial Intelligence: Insights from the Social Sciences
Slicing functional aspects out of legacy applications
Learning to Optimize via Wasserstein Deep Inverse Optimal Control
Better and Simpler Reducibility Bounds over the Integers
Developable Quad Meshes
Peer Ratings in Massive Online Social Networks
SigCLR: Sigmoid Contrastive Learning of Visual Representations
A CMOS Tailed Tent Map for the Generation of Uniformly Distributed Chaotic Sequences
Competitive Information Spread with Confirmation Bias in Cyber-Social Networks
Testing display suitability for presenting mean-modulated flicker in clinical assessment and experimental studies of visual systems
Design, Analysis and Application of A Volumetric Convolutional Neural Network
CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks
Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising
A Multi-Agent Framework with Automated Decision Rule Optimization for Cross-Domain Misinformation Detection
Unsupervised detection of diachronic word sense evolution
Exploring the Relationship Between Feature Attribution Methods and Model Performance
Online SLAM with Any-time Self-calibration and Automatic Change Detection
Economical-Epidemiological Analysis of the Coffee Trees Rust Pandemic
Comunication-Efficient Algorithms for Statistical Optimization
Inducing Predictive Uncertainty Estimation for Face Recognition
Facial Emotion Characterization and Detection using Fourier Transform and Machine Learning
Impact of RF I/Q Imbalance on Interference-Limited Mixed RF/FSO TWR Systems with Non-Zero Boresight Error
Linear Binary Codes Correcting One or More Errors
Structure preserving numerical methods for the ideal compressible MHD system
A study of tree-based methods and their combination
Mensen aanwijzen maar niet bij naam noemen: behavioural targeting, persoonsgegevens, en de nieuwe Privacyverordening
Performance Improvements of Probabilistic Transcript-adapted ASR with Recurrent Neural Network and Language-specific Constraints
Learning monocular depth estimation infusing traditional stereo knowledge
Counterfactual Distribution Regression for Structured Inference
Learning to Prune Deep Neural Networks via Reinforcement Learning
Single Image Iterative Subject-driven Generation and Editing
Benchpress: a scalable and platform-independent workflow for benchmarking structure learning algorithms for graphical models
Efficient Multi-Object Pose Estimation using Multi-Resolution Deformable Attention and Query Aggregation
Improving QA Efficiency with DistilBERT: Fine-Tuning and Inference on mobile Intel CPUs
Improving Data Quality through Deep Learning and Statistical Models
ChatGPT (Feb 13 Version) is a Chinese Room
Impact of Facebook Usage on Undergraduate Students Performance in Irbid National University: Case Study
Overcoming Data Availability Attacks in Blockchain Systems: LDPC Code Design for Coded Merkle Tree
Differentially Private Empirical Cumulative Distribution Functions
Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss
MindSpeed RL: Distributed Dataflow for Scalable and Efficient RL Training on Ascend NPU Cluster
AAA-Gaussians: Anti-Aliased and Artifact-Free 3D Gaussian Rendering
Benchmarking OpenCL, OpenACC, OpenMP, and CUDA: programming productivity, performance, and energy consumption
Uplink Precoding Design for Cell-Free Massive MIMO with Iteratively Weighted MMSE
Prediction of the Most Fire-Sensitive Point in Building Structures with Differentiable Agents for Thermal Simulators
Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation
Enterprise Data Science Platform: A Unified Architecture for Federated Data Access
Stochastic Finite Volume Method for Uncertainty Quantification of Transient Flow in Gas Pipeline Networks
Interpolation for Robust Learning: Data Augmentation on Geodesics
Exploring Teacher-Student Learning Approach for Multi-lingual Speech-to-Intent Classification
Creating Geospatial Trajectories from Human Trafficking Text Corpora
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers
VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors
Dynamic Bilevel Learning with Inexact Line Search
MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data
Fulcrum Network Codes: A Code for Fluid Allocation of Complexity
Accurate Deep Direct Geo-Localization from Ground Imagery and Phone-Grade GPS
A Bayesian neural network predicts the dissolution of compact planetary systems
Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms
Algorithm-Hardware Co-Optimization of the Memristor-Based Framework for Solving SOCP and Homogeneous QCQP Problems
Multi-source Deep Gaussian Process Kernel Learning
Deep interpretability for GWAS
Matrix Product Codes over Finite Commutative Frobenius Rings
On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization
A Study on Overfitting in Deep Reinforcement Learning
Algebraic Decoding for Doubly Cyclic Convolutional Codes
Using Mobile Data and Deep Models to Assess Auditory Verbal Hallucinations
One- and Multi-Pass Long-Hop Routing for Wireless Network
Role of Digital Platforms in Entrepreneurial Processes: A Resource Enabling Perspective of Startups in Pakistan
Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning
Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings
Spatial Modelling Techniques in Microsoft Excel
A3CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification
A Gating Model for Bias Calibration in Generalized Zero-shot Learning
Unleash Graph Neural Networks from Heavy Tuning
Controller Synthesis for Safety and Reachability via Approximate Bisimulation
When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems
Enhancing Quranic Learning: A Multimodal Deep Learning Approach for Arabic Phoneme Recognition
A Modified UDP for Federated Learning Packet Transmissions
Robustness of networks against propagating attacks under vaccination strategies
Training the Convolutional Neural Network with Statistical Dependence of the Response on the Input Data Distortion
Graph Random Neural Network
Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?
Semantically-consistent Landsat 8 image to Sentinel-2 image translation for alpine areas
Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact
FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame Selector
A Survey of Techniques for Dynamic Branch Prediction
Maximizing Use-Case Specificity through Precision Model Tuning
Reinforcement Learning for Resource Provisioning in Vehicular Cloud
Distributed physics informed neural network for data-efficient solution to partial differential equations
Software Development Vehicles to enable extended and early co-design: a RISC-V and HPC case of study
Deflation and Certified Isolation of Singular Zeros of Polynomial Systems
XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare
A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach
Effect of Computational Power of Sensors on Event-Triggered Control Mechanisms over a Shared Contention-Based Network
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting
Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when Evaluating Machine Translation for Gisting
Structural Autoencoders Improve Representations for Generation and Transfer
On the Security of Fully Homomorphic Encryption and Encrypted Computing: Is Division safe?
Feature Weight Tuning for Recursive Neural Networks
Self-Dual Codes better than the Gilbert-Varshamov bound
Evaluating Gender Bias in Hindi-English Machine Translation
3D exploration-based search for multiple targets using a UAV
Prediction of next career moves from scientific profiles
Towards understanding the nature of direct functional connectivity in visual brain network
4Doodle: Two-handed Gestures for Immersive Sketching of Architectural Models
Directed Width Parameters and Circumference of Digraphs
Upper-Body Pose-based Gaze Estimation for Privacy-Preserving 3D Gaze Target Detection
Optimizing Near Field Computation in the MLFMA Algorithm with Data Redundancy and Performance Modeling on a Single GPU
Dynamic DAG Discovery for Interpretable Imitation Learning
Proposal of an Automatic Verification Method for Network Configuration Model by Static Analysis
Identity Crisis: Memorization and Generalization under Extreme Overparameterization
Ensemble WSINDy for Data Driven Discovery of Governing Equations from Laser-based Full-field Measurements
Improved bounds on maximum sets of letters in sequences with forbidden alternations
SemPool: Simple, robust, and interpretable KG pooling for enhancing language models
Breaking the Midas Spell:Understanding Progressive Novice-AI Collaboration in Spatial Design
Generative Adversarial Network for Radar Signal Generation
On The Universality of Diagrams for Causal Inference and The Causal Reproducing Property
CounterExample Guided Neural Synthesis
Improving Metric Dimensionality Reduction with Distributed Topology
Duawlfin: A Drone with Unified Actuation for Wheeled Locomotion and Flight Operation
Egocentric Basketball Motion Planning from a Single First-Person Image
BumpNet: A Sparse Neural Network Framework for Learning PDE Solutions
Neural Stochastic Differential Equations on Compact State-Spaces
Multimodal Lead-Specific Modeling of ECG for Low-Cost Pulmonary Hypertension Assessment
Finding popular branchings in vertex-weighted digraphs
Caching Contents with Varying Popularity using Restless Bandits
Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe
Weather event severity prediction using buoy data and machine learning
TinyML NLP Approach for Semantic Wireless Sentiment Classification
From Learning to Unlearning: Biomedical Security Protection in Multimodal Large Language Models
ACT: Automated Constraint Targeting for Multi-Objective Recommender Systems
InDeed: Interpretable image deep decomposition with guaranteed generalizability
How Far Can Cantonese NLP Go? Benchmarking Cantonese Capabilities of Large Language Models
Comparison of Proposed Data Dissemination Protocols for Sensor Networks Using J-Sim
A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations
Agentic Policy Optimization via Instruction-Policy Co-Evolution
Some numerical aspects of the conservative PSM scheme in a 4D drift-kinetic code
Sharing Begins at Home
Data Source Selection for Information Integration in Big Data Era
Beyond Words: Enhancing Desire, Emotion, and Sentiment Recognition with Non-Verbal Cues
Semantic Autoencoder and Its Potential Usage for Adversarial Attack
Optimal Sum-Rate of the Vector Gaussian CEO Problem
AFAFed - Protocol analysis
MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models
Minimum Pseudo-Weight and Minimum Pseudo-Codewords of LDPC Codes
Intelligent Canvas: Enabling Design-Like Exploratory Visual Data Analysis with Generative AI through Rapid Prototyping, Iteration and Curation
The Power of External Memory in Increasing Predictive Model Capacity
Counting Cells in Time-Lapse Microscopy using Deep Neural Networks
Recommendations Beyond Catalogs: Diffusion Models for Personalized Generation
Random Surfers on a Web Encyclopedia
Election Bias: Comparing Polls and Twitter in the 2016 U.S. Election
Taxonomy of Power Converter Control Schemes based on the Complex Frequency Concept
Data-driven architecture to encode information in the kinematics of robots and artificial avatars
Modelling serendipity in a computational context
Extension property for partial automorphisms of the n-partite and semigeneric tournaments
Learning Rank Functionals: An Empirical Study
Enzymatic cycle-based receivers with high input impedance for approximate maximum a posteriori demodulation of concentration modulated signals
COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings
Home Spaces and Invariants to Analyze Parameterized Petri Nets
Automatic Differentiation using Constraint Handling Rules in Prolog
Clustering-Based Validation Splits for Domain Generalisation
Data-Driven Model Reduction using WeldNet: Windowed Encoders for Learning Dynamics
A Mixture Gaussian Process Conditional Heteroscedasticity Model with Power-Law Nature
Data-Aided Secure Massive MIMO Transmission under the Pilot Contamination Attack
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning
Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval
Diagnosis driven Anomaly Detection for CPS
(Newtonian) Space-Time Algebra
Sequence Models for Drone vs Bird Classification
Families of traveling impulses and fronts in some models with cross-diffusion
Generalised Random Forest Space Overview
A new bound for parsimonious edge-colouring of graphs with maximum degree three
A Type System to Ensure Non-Interference in ReScript
Early Detection of At-Risk Students Using Machine Learning
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge Gaps
Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization
Exploring More When It Needs in Deep Reinforcement Learning
Towards Federated Multi-Armed Bandit Learning for Content Dissemination using Swarm of UAVs
A new class of high-order energy-preserving schemes for the Korteweg-de Vries equation based on the quadratic auxiliary variable (QAV) approach
Cauchy-Schwarz Fairness Regularizer
Random Matrix Theory for Stochastic Gradient Descent
MMCR: Benchmarking Cross-Source Reasoning in Scientific Papers
COVID-19 Activity Risk Calculator as a Gamified Public Health Intervention Tool
Fast Collection Operations from Indexed Stream Fusion
SLA-Driven Load Scheduling in Multi-Tier Cloud Computing: Financial Impact Considerations
High Resolution Surface Reconstruction of Cultural Heritage Objects Using Shape from Polarization Method
On the Computation of the Logarithm of the Modified Bessel Function of the Second Kind
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation
Local Graph Embeddings Based on Neighbors Degree Frequency of Nodes
Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning
A Wavelet Based Algorithm for the Identification of Oscillatory Event-Related Potential Components
Multi-Robot Task Planning for Multi-Object Retrieval Tasks with Distributed On-Site Knowledge via Large Language Models
Weakly monotone averaging functions
Sleep Staging Based on Serialized Dual Attention Network
Werewolf: A Straightforward Game Framework with TTS for Improved User Engagement
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
Impact of weather factors on migration intention using machine learning algorithms
Convolutional Xformers for Vision
Self-Stabilizing Snapshot Objects for Asynchronous Fail-Prone Network Systems
Symbol Elimination for Parametric Second-Order Entailment Problems (with Applications to Problems in Wireless Network Theory)
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering
Neural approaches to spoken content embedding
A time-distance trade-off for GDD with preprocessing - Instantiating the DLW heuristic
FEAR: A Simple Lightweight Method to Rank Architectures
ProvFL: Client-Driven Interpretability of Global Model Predictions in Federated Learning
Spectral-inspired Neural Operator for Data-efficient PDE Simulation in Physics-agnostic Regimes
Learning Diverse Natural Behaviors for Enhancing the Agility of Quadrupedal Robots
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
Multispectral Pan-sharpening via Dual-Channel Convolutional Network with Convolutional LSTM Based Hierarchical Spatial-Spectral Feature Fusion
Analysis of Requirements for the Design of a Detector Control System in a High Energy Physics (HEP) Experiment
R-KV: Redundancy-aware KV Cache Compression for Training-Free Reasoning Models Acceleration
Towards xAI: Configuring RNN Weights using Domain Knowledge for MIMO Receive Processing
Variation Aware Training of Hybrid Precision Neural Networks with 28nm HKMG FeFET Based Synaptic Core
Convolutional Model Trees
GraphRunner: A Multi-Stage Framework for Efficient and Accurate Graph-Based Retrieval
Disentangling a Deep Learned Volume Formula
Learnable Similarity and Dissimilarity Guided Symmetric Non-Negative Matrix Factorization
An aerial color image anomaly dataset for search missions in complex forested terrain
Multi-Level Association Rule Mining for Wireless Network Time Series Data
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
Resampling Benchmark for Efficient Comprehensive Evaluation of Large Vision-Language Models
A Novel Implementation of QuickHull Algorithm on the GPU
Scalar Quantization for Audio Data Coding
Fast Adaptive Test-Time Defense with Robust Features
Unsupervised Videographic Analysis of Rodent Behaviour
gym-gazebo2, a toolkit for reinforcement learning using ROS 2 and Gazebo
Training-free Ultra Small Model for Universal Sparse Reconstruction in Compressed Sensing
Sparse Partially Linear Additive Models
Performance of P2P Networks with Spatial Interactions of Peers
Target Wake Time Scheduling for Time-sensitive and Energy-efficient Wi-Fi Networks
What Do We Want From Explainable Artificial Intelligence (XAI)? - A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research
Learning Collective Action under Risk Diversity
Tree embedding based mapping system for low-latency mobile applications in multi-access networks
HeartBees: Visualizing Crowd Affects
Achievable Rate Regions for Dirty Tape Channels and "Joint Writing on Dirty Paper and Dirty Tape"
Human Machine Co-Creation. A Complementary Cognitive Approach to Creative Character Design Process Using GANs
Estimating an Executive Summary of a Time Series: The Tendency
Unit commitment with analytical underfrequency load-shedding constraints for island power systems
EVC-Net: Multi-scale V-Net with Conditional Random Fields for Brain Extraction
Flexible Cross-Modal Steganography via Implicit Representations
Reinforcement Learning and Video Games