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45 papers in the last four weeks, up 137% on the four weeks before. 0.4% of all new papers.

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Right Choice of Classification Algorithms Based on Reinforcement Learning for Prediction of Non-Alcoholic Fatty Liver
Sep 24, 2026Hasan Samadbin, Arman DaliriAlgorithm Selection Reinforcement Learning
Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
UO-FIE: Combining Exact-Label Supervision with Graded Utility for Factivity Inference
Sep 23, 2026Xinchen XiaoOrdinal Regression Classification
Xinjiang University
AraGenre 2026: A Hierarchical Definition-Guided Arabic Genre Classification Shared Task
Sep 23, 2026Mo El-Haj, Saad Ezzini, Shadi Abudalfa +3Arabic NLP Zero-Shot Text Classification
VinUniversity, Vietnam · Lancaster University, UK · King Fahd University of Petroleum and Minerals, Saudi Arabia +3
How to Estimate Whether You Have Found Several Needles in a Haystack: Measuring Calibration in Multi-Label Text Classification
Sep 22, 2026Sophie Henning, Georg Hofmann, Alexander Schulte +2Multi-Label Classification Language Model Calibration
TU Munich · Munich Center for Machine Learning (MCML) · LMU Munich +3
An Exact Junction-Tree Extended Formulation for Optimal Classification Trees
Sep 21, 2026Jiancheng TU, WenqiFanDecision Tree Learning Classification
Department of Computing, The Hong Kong Polytechnic University · Department of Management and Marketing, The Hong Kong Polytechnic University
Evaluating Decision Models for Text Annotation in Computational Social Science
Sep 21, 2026Hazem Ibrahim, Yasir ZakiLLM Evaluation LLM-Assisted Annotation
Computer Science, New York University Abu Dhabi, Abu Dhabi, UAE
Density-Ratio Rescoring for Imbalanced Classification Using Raking Duals and Classifier Scores
Sep 20, 2026Dongha Kim, Seunghwan ParkClass-Imbalanced Learning Density Ratio Estimation
School of Mathematics, Statistics and Data Science, Sungshin Women’s University, 2, Bomun-ro 34da-gil, Seongbuk-gu, Seoul, 02844, Republic of Korea · Department of Information Statistics, Kangwon National University, 1, Kangwondaehak-gil, Chuncheon-si, Gangwon-do, 24341, Republic of Korea
Alliance Beats Isolation: Unifying Heterogeneous Allied Datasets Improves Classifier Performance
Sep 17, 2026Girish Keshav PalshikarCross-Domain Transfer Learning Classification
Decodable but Misrouted: Sparse Features Uncover a Readout Gap in Vision-Language Models for Harmful Meme Detection
Sep 16, 2026Girish A. Koushik, Diptesh Kanojia, Helen TreharneVLM Evaluation VLM Robustness
Nature-Inspired Computing & Engineering Department of Computer Science University of Surrey Guildford, United Kingdom · Surrey Centre for Cyber Security Department of Computer Science University of Surrey Guildford, United Kingdom
Fallacy Benchmarks Measure Scheme Recognition, Not Fallacy Detection
Sep 16, 2026Navyansh Singh, Animesh Pathak, Aarav SinghArgument Mining Computational Argumentation
IIIT Naya Raipur
How Many Labels Does Model Choice Need? Certificates and Budgets for Selective Prediction
Sep 16, 2026Tetsuji KuboyamaModel Selection Selective Prediction
Computer Centre, Gakushuin University
Learned Look-Ahead Splitting Rule for CART
Sep 14, 2026Andrew Gao, Tianlin Liu, Ruichen Han +1Decision Tree Learning Classification
Thomas Jefferson High School for Science and Technology, Alexandria, VA 22312, USA · Lynbrook High School, San Jose, CA 95129, USA · Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
HemaHier: Chain-Conditioned Ordinal Hierarchies for Lineage-Aware Bone-Marrow Cytology
Sep 14, 2026Afshin Bozorgpour, Peter Schüffler, Edgar Jost +1Computational Pathology Hierarchical Classification
Faculty of Informatics and Data Science, University of Regensburg, Germany · Institute of Pathology, TUM School of Medicine and Health, Technical University of Munich, Germany · Munich Center for Machine Learning, Germany +4
Learning Sign Language Recognition under Label Noise: A Study of Noise-Robust Losses for Isolated and Continuous Settings
Sep 14, 2026Akihisa Shitara, Yoichi OchiaiNoisy-Label Learning Robust Loss Functions
R&D Center for Digital Nature, University of Tsukuba · Faculty of Library, Information and Media Science, University of Tsukuba · Pixie Dust Technologies, Inc.
Adaptive Margin Ordinal Loss: Penalizing Center-Class Hedging in Ordinal Classification
Sep 12, 2026Manisha KandelOrdinal Regression Adaptive Loss Weighting
Data Science Institute & Department of Civil, Construction & Environmental Engineering University of Delaware Newark, DE, USA
Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables
Sep 12, 2026Yasin Ibrahim, Hermione Warr, Robin J. Evans +1Counterfactual Evaluation Classification
Department of Engineering Science, University of Oxford, Oxford, UK · Department of Statistics, University of Oxford, Oxford, UK
Relatively Smart II: Tractable or Semi-Supervised Instance-Optimal Learning
Sep 11, 2026Shaddin Dughmi, Alireza F. PourClassification Semi-Supervised Learning
University of Southern California · University of Waterloo
CoGe-GCD: Reframing Generalized Category Discovery with Compositional Generalization
Sep 9, 2026Luyao Tang, Jiewei Zheng, Kunze Huang +3Geometric Representation Learning Classification
The University of Hong Kong, Hong Kong SAR, China · Xiamen University, Xiamen, China · Shenzhen University, Shenzhen, China.
ProbPlug: A Plugin Uncertainty Network for Reliable Confidence in LLM Binary Classification
Sep 9, 2026Jianzong Wang, Chuhang Liu, Botao Zhao +6Confidence Estimation in Language Models Language Model Calibration
Ping An Technology (Shenzhen) Co., Ltd., Shenzhen, China · Tsinghua Shenzhen International Graduate School, Shenzhen, China · Hubei University of Technology, Hubei, China
Positional task conditioning for scalable defect detection across product families in large product catalogs
Sep 9, 2026Soham Satyadharma, Gabriel Roccabruna, Suleiman A. KhanLanguage Model Distillation Classification
Amazon Catalog AI
Vision-language models know more about agriculture than they show and rubric-grounded verifications close the gap
Sep 8, 2026Earl Ranario, Jared Smith, Lars Lundqvist +2Agricultural Image Analysis Plant Disease Classification
University of California, Davis
Certified Topological Interaction in Neural Representations: Class Disentanglement Is Mostly Pairwise
Sep 8, 2026Sushovan MajhiDisentangled Representation Learning Neural Representation Geometry
Data Science Program, George Washington University, Washington, D.C., USA.
A Fundamental Limit in Decentralized Decision-Making
Sep 7, 2026Marco Carpentiero, Felice Scala, Vincenzo Matta +1Classification Distributed Inference
Department of Information and Electrical Engineering and Applied Mathematics (DIEM), University of Salerno, I-84084 Fisciano (SA), Italy · Institute of Electrical and Micro Engineering, EPFL, CH-1015 Lausanne, Switzerland
Learning Kernels by Alignment for Multiclass Bayes Classification
Sep 6, 2026Hollan Haule, Javier EscuderoBayesian Inference Metric Learning
Chiaroscuro for Emotions: A Contrastive Emotion Benchmark Grounded in Appraisal Theory
Sep 3, 2026Divyesh Bommana, Mohammad Saim, Tianyu JiangLLM Evaluation Classification
University of Cincinnati
From Confusion to Clarity: Confusion-Aware Retrieval and Knowledge Injection for Text Classification
Sep 1, 2026Manish Gupta, Chaitanya Giri, Jayasimha TalurZero-Shot Text Classification Retrieval-Augmented Classification
Amazon
One-Layer Transformer Provably Learns Multiclass One-Nearest Neighbor in Context
Sep 1, 2026Skanda Athreya, Yutong WangTransformer In-Context Learning
James B. Conant High School · Hoffman Estates, IL · Illinois Institute of Technology +1
Few-Shot Out of Domain Intent Detection with Covariance Corrected Mahalanobis Distance
Sep 1, 2026Jayasimha Talur, Oleg Smirnov, Paul MissaultMahalanobis Distance Intent Classification
Amazon
Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models
Sep 1, 2026Jinran Wu, You-Gan Wang, Geoffrey J. McLachlanLearning with Missing Data Binary Classification
The University of Queensland, Australia
Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk
Aug 31, 2026Fariborz Setoudehtazang, Geoffrey J. McLachlanInformation Geometry Learning with Missing Data
Dipartimento di Scienze Statistiche, Universit`a di Padova, Padova, Italy · School of Mathematics and Physics, The University of Queensland, Australia

Sep 24, 2026, cs.AIJ/K move · Enter open · S save

Right Choice of Classification Algorithms Based on Reinforcement Learning for Prediction of Non-Alcoholic Fatty Liver

Hasan Samadbin, Arman Daliri

Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran

Algorithm Selection Reinforcement Learning Classification Automated Machine Learning

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There are many complex issues in the world of artificial intelligence. Some of these problems are solved using other artificial intelligence methods, which are called artificial intelligence for artificial intelligence. Finding an appropriate classifier algorithm is a time-consuming task. For this reason, an algorithm that can automatically learn the choice of classification algorithms is very important. Classification algorithms are useful in predicting various diseases. Also, Primary Biliary Cirrhosis is one of the most well-known diseases that have been predicted by classification algorithms. This research's most significant achievement and novelty is the automatic increase in learning through a scoring method of reinforcement learning is called square learning (SL). In this research, an algorithm is presented that learns to automatically select the appropriate classification algorithm to predict Primary Biliary Cirrhosis. In this article, with inspiration from four evaluation metrics in classification algorithms, a new reinforcement learning method by the name of Fourth Degree Learning has been presented. In this research, we increased the performance of the classification algorithms used in this method from 63% of accuracy and achieved 98% accuracy.

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Latest papers 258