Partha Basuchowdhuri

42 papers A 3B 1Misc 2Journal 21Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Beyond Correlations: A Downstream Evaluation Framework for Query Performance Prediction. ECIR (2) Payel Santra, Partha Basuchowdhuri, Debasis Ganguly
2026	J	`jnl`	Beyond Correlations: A Downstream Evaluation Framework for Query Performance Prediction. CoRR Payel Santra, Partha Basuchowdhuri, Debasis Ganguly
2026	—	`conf`	Breaking Flat: A Generalised Query Performance Prediction Evaluation Framework. ECIR (2) Payel Santra, Partha Basuchowdhuri, Debasis Ganguly
2026	J	`jnl`	Breaking Flat: A Generalised Query Performance Prediction Evaluation Framework. CoRR Payel Santra, Partha Basuchowdhuri, Debasis Ganguly
2025	J	`jnl`	Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions. CoRR Samiran Dey, Christopher R. S. Banerji, Partha Basuchowdhuri, Sanjoy Kumar Saha, Deepak Parashar, Tapabrata Chakraborti
2025	A	`conf`	HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers. CIKM Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar
2025	J	`jnl`	HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers. CoRR Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar
2025	—	`conf`	RExAS: Relation Extraction Using Adaptive Self-attention. ICAA Madhusudan Ghosh, Partha Basuchowdhuri, Sudip Kumar Naskar
2025	J	`jnl`	The "Curious Case of Contexts" in Retrieval-Augmented Generation With a Combination of Labeled and Unlabeled Data. WIREs Data. Mining. Knowl. Discov. Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar
2025	J	`jnl`	Uncertainty estimation using boundary prediction for medical image super-resolution. Comput. Vis. Image Underst. Samiran Dey, Partha Basuchowdhuri, Debasis Mitra, Robin Augustine, Sanjoy Kumar Saha, Tapabrata Chakraborti
2025	J	`jnl`	Unified Graph Networks (UGN): A Deep Neural Framework for Solving Graph Problems. CoRR Rudrajit Dawn, Madhusudan Ghosh, Partha Basuchowdhuri, Sudip Kumar Naskar
2024	B	`conf`	"The Absence of Evidence is Not the Evidence of Absence": Fact Verification via Information Retrieval-Based In-Context Learning. DaWaK Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar
2024	—	`conf`	A Fast Domain-Inspired Unsupervised Method to Compute COVID-19 Severity Scores from Lung CT. ICPR (12) Samiran Dey, Bijon Kundu, Partha Basuchowdhuri, Sanjoy Kumar Saha, Tapabrata Chakraborti
2024	J	`jnl`	AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs. CoRR Madhusudan Ghosh, Shrimon Mukherjee, Asmit Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar, Debasis Ganguly
2024	J	`jnl`	An Algorithm for the Decomposition of Complete Graph into Minimum Number of Edge-disjoint Trees. CoRR Antika Sinha, Sanjoy Kumar Saha, Partha Basuchowdhuri
2024	—	`conf`	BLINKtextsubscriptLSTM: BioLinkBERT and LSTM based approach for extraction of PICO frame from Clinical Trial Text. COMAD/CODS Madhusudan Ghosh, Shrimon Mukherjee, Payel Santra, Girish Na, Partha Basuchowdhuri
2024	—	`conf`	Chronological Evaluation of Novel Methodology Extraction from AI Literature. JCDL Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar
2024	—	`conf`	CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction. LoG Shrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri
2024	J	`jnl`	CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction. CoRR Shrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri
2024	J	`jnl`	G4-Attention: Deep Learning Model with Attention for predicting DNA G-Quadruplexes. CoRR Shrimon Mukherjee, Pulakesh Pramanik, Partha Basuchowdhuri, Santanu Bhattacharya
2023	—	`conf`	BliMSR: Blind Degradation Modelling for Generating High-Resolution Medical Images. MIUA Samiran Dey, Partha Basuchowdhuri, Debasis Mitra, Robin Augustine, Sanjoy Kumar Saha, Tapabrata Chakraborti
2023	J	`jnl`	Enhancing AI Research Paper Analysis: Methodology Component Extraction using Factored Transformer-based Sequence Modeling Approach. CoRR Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar
2023	A	`conf`	Extracting Methodology Components from AI Research Papers: A Data-driven Factored Sequence Labeling Approach. CIKM Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar
2023	—	`conf`	MLlab4CS at SemEval-2023 Task 2: Named Entity Recognition in Low-resource Language Bangla Using Multilingual Language Models. SemEval@ACL Shrimon Mukherjee, Madhusudan Ghosh, Girish, Partha Basuchowdhuri
2023	—	`conf`	MoMSGAN: Mode Collapse based Degradation Agnostic Multi-Scale Super-Resolution of Medical Images. ICVGIP Samiran Dey, Tapabrata Chakraborti, Partha Basuchowdhuri, Debasis Mitra, Robin Augustine, Sanjoy Kumar Saha
2023	—	`conf`	Unleashing the Power of Large Language Models: A Hands-On Tutorial. FIRE Payel Santra, Madhusudan Ghosh, Shrimon Mukherjee, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar
2022	J	`jnl`	Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity. CoRR Shrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri
2022	A	`conf`	DeepGLSTM: Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity. SDM Shrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri
2019	J	`jnl`	Fast detection of community structures using graph traversal in social networks. Knowl. Inf. Syst. Partha Basuchowdhuri, Satyaki Sikdar, Varsha Nagarajan, Khusbu Mishra, Surabhi Gupta, Subhashis Majumder
2017	J	`jnl`	Fast Detection of Community Structures using Graph Traversal in Social Networks. CoRR Partha Basuchowdhuri, Varsha Nagarajan, Khusbu Mishra, Satyaki Sikdar, Surabhi Gupta, Subhashis Majumder
2017	J	`jnl`	The Habits of Highly Effective Researchers: An Empirical Study. IEEE Trans. Big Data Subhajit Datta, Partha Basuchowdhuri, Surajit Acharya, Subhashis Majumder
2016	—	`conf`	Detecting Community Structures in Social Networks by Graph Sparsification. CODS Partha Basuchowdhuri, Satyaki Sikdar, Sonu Shreshtha, Subhashis Majumder
2016	J	`jnl`	Recommendation system based on product purchase analysis. Innov. Syst. Softw. Eng. Angan Mitra, Sohom Ghosh, Partha Basuchowdhuri, Manoj Kumar Shekhawat, Sanjoy Kumar Saha
2015	J	`jnl`	Spanning tree-based fast community detection methods in social networks. Innov. Syst. Softw. Eng. Partha Basuchowdhuri, Riya Roy, Siddhartha Anand, Diksha Roy Srivastava, Subhashis Majumder, Sanjoy Kumar Saha
2015	J	`jnl`	Unified scheme for finding disjoint and overlapping communities in social networks using strength of ties. Int. J. Soc. Netw. Min. Partha Basuchowdhuri, V. K. Lakshan Prabhu, Mithun Roy, Subhashis Majumder, Sanjoy Kumar Saha
2014	—	`conf`	Finding Influential Nodes in Social Networks Using Minimum k-Hop Dominating Set. ICAA Partha Basuchowdhuri, Subhashis Majumder
2012	—	`conf`	Spread of Information in a Social Network Using Influential Nodes. PAKDD (2) Arpan Chaudhury, Partha Basuchowdhuri, Subhashis Majumder
2010	—	`ch.`	Churn in Social Networks. Handbook of Social Network Technologies Marcel Karnstedt, Tara Hennessy, Jeffrey Chan, Partha Basuchowdhuri, Conor Hayes, Thorsten Strufe
2010	Misc	`conf`	Detecting Communities Using Social Ties. GrC Partha Basuchowdhuri, Jianhua Chen
2009	Misc	`conf`	Degree-based Approximate Sub-graph Matching for Social Network Analysis in Terrorist Detection. IC-AI Partha Basuchowdhuri, Jianhua Chen, Peter P. Chen
2007	J	`jnl`	Comparing BB84 and Authentication-Aided Kak's Three-Stage Quantum Protocol CoRR Partha Basuchowdhuri
2006	J	`jnl`	Classical Authentication Aided Three-Stage Quantum Protocol CoRR Partha Basuchowdhuri

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.