Publications

Peer-reviewed research on AI for patent intelligence

12 publications across ACM, Elsevier, IEEE, and SIGIR venues, spanning information retrieval, explainable AI, and large language model evaluation for patent search.

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2025

Patent Retrieval with Few-Shot Fine-Tuning and Quantized Embeddings

Renukswamy Chikkamath, Linda Andersson, Markus Endres

ICAAI, ACM, Manchester, UK

Rethinking Patent Retrieval with Language Models: Toward Scalable and Efficient Search

Renukswamy Chikkamath, Linda Andersson, Markus Endres

World Patent Information, Elsevier

Enhancing Patent Retrieval Using Automated Patent Summarization

Eleni Kamateri, Michail Salampasis, Renukswamy Chikkamath, Linda Andersson, Markus Endres

PatentSemTech, SIGIR, Italy

2024

ChatGPT vs. Google Gemini: Assessing AI Frontiers for Patent Prior Art Search Using European Search Reports

Renukswamy Chikkamath, Ankit Sharma, Christoph Hewel, Markus Endres

SemTech4STLD, ESWC, Hersonissos, Greece

Decoding Health Informatics Patents: Investigating Topic Models for Patent Information Retrieval

Renukswamy Chikkamath, Zahra Esmaeili, Markus Endres

HINT24, Springer LNNS, India

2023

Explainable Artificial Intelligence for Highlighting and Searching in Patent Text

Renukswamy Chikkamath, Rana Fassahat Ali, Christoph Hewel, Markus Endres

PatentSemTech, SIGIR, Taipei, Taiwan

Is Your Search Query Well-Formed? A Natural Query Understanding for Patent Prior Art Search

Renukswamy Chikkamath, Deepak Rastogi, Mahesh Maan, Markus Endres

World Patent Information, Elsevier

2022

Patent Classification Using BERT-for-Patents on USPTO

Renukswamy Chikkamath, Vishvapalsinhji Ramsinh Parmar, Yusuke Otiefy, Markus Endres

MLNLP, ACM, Sanya, China

PaSA: A Dataset for Patent Sentiment Analysis to Highlight Patent Paragraphs

Renukswamy Chikkamath, Vishvapalsinhji Ramsinh Parmar, Christoph Hewel, Markus Endres

ICAIL, WASET, ACM, Singapore

2021

A Survey on Deep Learning for Patent Analysis

Ralf Krestel, Renukswamy Chikkamath, Christoph Hewel, Julian Risch

World Patent Information, Elsevier

2020

An Empirical Study on Patent Novelty Detection: A Novel Approach Using Machine Learning and Natural Language Processing

Renukswamy Chikkamath, Markus Endres, Lavanya Bayyapu, Christoph Hewel

ANLP 2020, IEEE Digital Library

2016

Concept Detection and Cluster Analysis from Newsfeed: A Singular Value Decomposition Based Approach

Renukswamy Chikkamath, B. Sathish Babu

2nd International Conference on Computational Intelligence and Networks (CINE), IEEE Digital Library