5th International Conference on Machine Learning, NLP and Data Mining (MLDA 2026)

Memo

5th International Conference on Machine Learning, NLP and Data Mining (MLDA 2026) July 29 ~ 30, 2026, Virtual Conference https://mlda2026.org/index Scope  5th International Conference on Machine Learning, NLP and Data Mining (MLDA 2026) provides a premier international forum for researchers, practitioners and industry experts to share their latest findings, methodologies and innovations in Machine Learning, Natural Language Processing and Data Mining. As these fields continue to evolve rapidly and shape the future of intelligent systems, MLDA 2026 aims to bring together diverse perspectives that advance both theoretical foundations and real world applications. Topics of interest include, but are not limited to, the followin Machine learning theory, optimization and probabilistic modeling Bayesian learning, causal inference and causal representation learning Semi supervised, weakly supervised and self supervised learning Continual, lifelong, transfer, meta learning and few shot learning NeuroAI and neuroscience inspired machine learning Deep neural architectures and efficient deep learning (pruning, quantization, distillation) Multimodal representation learning across text, vision, audio and sensor data Graph neural networks, graph transformers and temporal graph learning Large scale, distributed and parallel training of ML models Pretraining, fine tuning and adaptation of large language models (LLMs) Retrieval augmented generation (RAG), memory augmented models and long context modeling LLM agents, tool using models, multi step reasoning and autonomous language agents Hallucination mitigation, LLM evaluation, safety, alignment and responsible LLMs Information extraction, information retrieval and retrieval enhanced NLP Text mining, text classification, topic modeling and semantic parsing Argumentation mining, opinion mining and sentiment analysis Corpus linguistics, multilingual NLP and cross lingual modeling Dialogue systems, conversational agents, question answering andchatbots Speech recognition, speech synthesis and affective speech technologies Data mining foundations, pattern mining, sequence mining and knowledge discovery Data centric AI, dataset auditing, bias detection and data governance Synthetic data generation, fidelity evaluation and data augmentation pipelines Big data analytics, scalable data processing and distributed data systems Knowledge graphs, semantic reasoning and linked data technologies   Predictive learning, forecasting and advanced time series machine learning Time series modeling for irregular, multivariate and high frequency data Recommendation systems, personalization and user modeling Machine learning for business intelligence, decision support and knowledge intensive systems Image and video understanding, scene analysis and object recognition Vision language models, multimodal fusion and embodied perception Deep reinforcement learning, multi agent RL, offline RL and imitation learning RL for NLP, dialogue systems, planning and sequential decision making Explainable AI, interpretability, fairness, accountability and transparency Robustness, adversarial machine learning and secure model training Privacy preserving ML, federated learning and differential privacy ML pipelines, automation, deployment, monitoring and optimization MLOps, scalable ML systems, distributed computing and infrastructure for LLMs Model integrity, watermarking, secure inference and model protection ML and NLP for IoT, edge computing, TinyML and ubiquitous intelligence Semantic web technologies, ontologies, conceptual modeling and knowledge integration Code generation, program synthesis, automated debugging and software engineering ML ML for healthcare, bioinformatics, computational biology and medical applications ML for finance, economics, business analytics and risk modeling ML for education, learning analytics and personalized learning systems ML for environmental modeling, sustainability and climate related applications ML for engineering, scientific discovery and simulation driven research Social network analysis, web mining and web intelligence Human AI collaboration, human in the loop learning and interactive ML Affective computing, emotion aware systems and user centric AI design Paper Submission Authors are invited to submit papers through the conference Submission System by May 30, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by International Journal on Cybernetics & Informatics (IJCI) (Confirmed).   Selected papers from MLDA 2026, after further revisions, will be published in the special issue of the following journal. International Journal on Natural Language Computing(IJNLC) • International Journal of Web & Semantic Technology (IJWesT) – IS Indexed International Journal of Ubiquitous Computing (IJU) International Journal of Data Mining & Knowledge Management Process ( IJDKP ) The International Journal of Ambient Systems and Applications (IJASA) International Journal of Grid Computing & Applications (IJGCA) Machine Learning and Applications: An International Journal (MLAIJ) International Journal on Computational Science & Applications (IJCSA) Advances in Vision Computing: An International Journal (AVC) Important Dates Submission Deadline : May 30, 2026 Authors Notification : June 20, 2026 Registration & camera – Ready Paper Due :June 27, 2026 Contact UsHere’s where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. (or) This email address is being protected from spambots. You need JavaScript enabled to view it.