Rajdeep Sarkar

20 papers A* 2A 1B 3Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning. CoRR Gaurav Negi, Rajdeep Sarkar, Omnia Zayed, Paul Buitelaar
2024	—	`conf`	A Hybrid Approach to Aspect Based Sentiment Analysis Using Transfer Learning. LREC/COLING Gaurav Negi, Rajdeep Sarkar, Omnia Zayed, Paul Buitelaar
2024	A	`conf`	BRECS: Enhanced Binary Representation of Word Embeddings via Cosine Similarity. ECAI Rajdeep Sarkar, Sourav Dutta, John P. McCrae
2023	—	`conf`	PICKD: In-Situ Prompt Tuning for Knowledge-Grounded Dialogue Generation. PAKDD (4) Rajdeep Sarkar, Koustava Goswami, Mihael Arcan, John P. McCrae
2022	J	`jnl`	Characterization of Microstructure of Crept Nb and Ta-Rich γ-TiAl Alloys by Automated Crystal Orientation Mapping and Electron Back Scatter Diffraction. Symmetry Vajinder Singh, Chandan Mondal, Rajdeep Sarkar, Satabdi Roy, Chiptalluri Mohan Omprakash, Partha Ghosal
2022	—	`conf`	KG-CRuSE: Recurrent Walks over Knowledge Graph for Explainable Conversation Reasoning using Semantic Embeddings. ConvAI@ACL Rajdeep Sarkar, Mihael Arcan, John P. McCrae
2022	A*	`conf`	Semantic Aware Answer Sentence Selection Using Self-Learning Based Domain Adaptation. KDD Rajdeep Sarkar, Sourav Dutta, Haytham Assem, Mihael Arcan, John P. McCrae
2021	J	`jnl`	Conversation Concepts: Understanding Topics and Building Taxonomies for Financial Services. Inf. John P. McCrae, Pranab Mohanty, Siddharth Narayanan, Bianca Pereira, Paul Buitelaar, Saurav Karmakar, Rajdeep Sarkar
2021	—	`conf`	Few-shot and Zero-shot Approaches to Legal Text Classification: A Case Study in the Financial Sector. NLLP@EMNLP Rajdeep Sarkar, Atul Kr. Ojha, Jay Megaro, John Mariano, Vall Herard, John P. McCrae
2021	—	`conf`	Qasar: Self-Supervised Learning Framework for Extractive Question Answering. IEEE BigData Haytham Assem, Rajdeep Sarkar, Sourav Dutta
2020	B	`conf`	Suggest me a movie for tonight: Leveraging Knowledge Graphs for Conversational Recommendation. COLING Rajdeep Sarkar, Koustava Goswami, Mihael Arcan, John P. McCrae
2020	B	`conf`	Unsupervised Deep Language and Dialect Identification for Short Texts. COLING Koustava Goswami, Rajdeep Sarkar, Bharathi Raja Chakravarthi, Theodorus Fransen, John P. McCrae
2019	—	`conf`	Automated Early Leaderboard Generation from Comparative Tables. ECIR (1) Mayank Singh, Rajdeep Sarkar, Atharva Vyas, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti
2018	B	`conf`	A supervised approach to taxonomy extraction using word embeddings. LREC Rajdeep Sarkar, John Philip McCrae, Paul Buitelaar
2018	J	`jnl`	Ranking State-of-the-art Papers via Incomplete Tournaments Induced by Citations from Performance Tables. CoRR Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti
2017	A*	`conf`	Relay-Linking Models for Prominence and Obsolescence in Evolving Networks. KDD Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti
2017	J	`jnl`	Tabloids in the Era of Social Media? Understanding the Production and Consumption of Clickbaits in Twitter. CoRR Abhijnan Chakraborty, Rajdeep Sarkar, Ayushi Mrigen, Niloy Ganguly
2017	J	`jnl`	Tabloids in the Era of Social Media?: Understanding the Production and Consumption of Clickbaits in Twitter. Proc. ACM Hum. Comput. Interact. Abhijnan Chakraborty, Rajdeep Sarkar, Ayushi Mrigen, Niloy Ganguly
2016	J	`jnl`	Relay-Linking Models for Prominence and Obsolescence in Evolving Networks. CoRR Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti
2015	J	`jnl`	Sic Transit Gloria Manuscriptum: Two Views of the Aggregate Fate of Ancient Papers. CoRR Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti

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.