:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shende, Mayur Kishor, Salih, Sinan, Bokde, Neeraj Dhanraj, Scholz, Miklas, Oudah, Atheer, Yaseen, Zaher Mundher
Format:	Recurso digital
Language:
Published:	Zenodo 2022
Online Access:	https://doi.org/10.5281/zenodo.16842801
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Jaya R Package -- A Parameter-Free Solution for Advanced Single and Multi-Objective Optimization
by: Bokde, Neeraj Dhanraj
Published: (2024)

Symmetry-Constrained Forecasting of Periodically Correlated Energy Processes
by: Voyant, Cyril, et al.
Published: (2026)

Spatial Functional Deep Neural Network Model: A New Prediction Algorithm
by: Basaran, Merve, et al.
Published: (2025)

Streamflow Intervals Prediction Using Coupled Autoregressive Conditionally Heteroscedastic With Bootstrap Model
by: Bugrayhan Bickici, et al.
Published: (2025)

Predicting Potential Salinity in River Water for Irrigation Water Purposes Using Integrative Machine Learning Models
by: Ali Omran Al‐Sulttani, et al.
Published: (2025)

Cost and CO2 emissions co-optimisation of green hydrogen production in a grid-connected renewable energy system
by: Farah, Sleiman, et al.
Published: (2024)

On the Monotone Variational Inclusion Problems: A New Algorithm‐Based Modified Splitting Approach
by: Uzoamaka A. Ezeafulukwe, et al.
Published: (2025)

FastOmniTMAE: Parallel Clause Learning for Scalable and Hardware-Efficient Tsetlin Embeddings
by: Kadhim, Ahmed K., et al.
Published: (2026)

A Methodology for Transparent Logic-Based Classification Using a Multi-Task Convolutional Tsetlin Machine
by: Shende, Mayur Kishor, et al.
Published: (2025)

infomeasure: A Comprehensive Python Package for Information Theory Measures and Estimators
by: Büth, Carlson Moses, et al.
Published: (2025)

ms-Mamba: Multi-scale Mamba for Time-Series Forecasting
by: Karadag, Yusuf Meric, et al.
Published: (2025)

Pattern Matching for Multivariate Time Series Forecasting
by: Noé Lebreton, et al.
Published: (2026)

Tsururu: A Python-based Time Series Forecasting Strategies Library
by: Kostromina, Alina, et al.
Published: (2025)

Borophene Oxide and Graphene Oxide for Renewable Energy: A Comparative Study on their Catalytic Performance in Sodium Borohydride Hydrolysis for Hydrogen Generation
by: Yen Yiin Lee, et al.
Published: (2025)

Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences
by: Chen, Xiwen, et al.
Published: (2025)

Probabilistic Forecasting of Irregular Time Series via Conditional Flows
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)

HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python
by: Olivares, Kin G., et al.
Published: (2022)

The plastisphere as a nexus for antimicrobial resistance: micro(nano)plastics in pathogen colonization, gene transfer, and global health risks
by: Syed Shabi Ul Hassan Kazmi, et al.
Published: (2026)

PPGF: Probability Pattern-Guided Time Series Forecasting
by: Sun, Yanru, et al.
Published: (2025)

Long Input Sequence Network for Long Time Series Forecasting
by: Ma, Chao, et al.
Published: (2024)

Benchmarks and Custom Package for Energy Forecasting
by: Wang, Zhixian, et al.
Published: (2023)

The Effects of the COVID‐19 Pandemic on Internal Migration Trends in Türkiye and Medium‐Term Forecasts for the Future
by: Salih Birinci, et al.
Published: (2026)

tab2seq: A Python Package for Table-to-Sequence Conversion
by: Savcisens, Germans
Published: (2026)

tab2seq: A Python Package for Table-to-Sequence Conversion
by: Savcisens, Germans
Published: (2026)

tab2seq: A Python Package for Table-to-Sequence Conversion
by: Savcisens, Germans
Published: (2026)

Uncertainty Quantification in the Tsetlin Machine
by: Helin, Runar, et al.
Published: (2025)

DarsakX: A Python Package for Designing and Analyzing Imaging Performance of X-ray Telescopes
by: Tiwari, Neeraj K., et al.
Published: (2024)

XForecast: Evaluating Natural Language Explanations for Time Series Forecasting
by: Aksu, Taha, et al.
Published: (2024)

Travel Time and Weather-Aware Traffic Forecasting in a Conformal Graph Neural Network Framework
by: Patil, Mayur, et al.
Published: (2025)

Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
by: Dong, Zheng, et al.
Published: (2024)

PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
by: Wang, Yanlong, et al.
Published: (2024)

Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting
by: Medeiros, Heitor R., et al.
Published: (2025)

Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
by: Zhong, Siru, et al.
Published: (2026)

A novel early‐warning standardized indicator for drought preparedness and management under multiple climate model projections
by: Sadia Qamar, et al.
Published: (2025)

Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System
by: Zyarah, Abdullah M., et al.
Published: (2024)

LETS Forecast: Learning Embedology for Time Series Forecasting
by: Majeedi, Abrar, et al.
Published: (2025)

Urban Traffic Forecasting with Integrated Travel Time and Data Availability in a Conformal Graph Neural Network Framework
by: Patil, Mayur, et al.
Published: (2024)

Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
by: Lyu, Sisuo, et al.
Published: (2025)

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting
by: Pan, Licheng, et al.
Published: (2025)