Tanmoy Mukherjee

21 papers A* 3A 1Misc 1Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Credal Concept Bottleneck Models: Structural Separation of Epistemic and Aleatoric Uncertainty. CoRR Tanmoy Mukherjee, Marius Kloft, Pierre Marquis, Zied Bouraoui
2025	J	`jnl`	Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT. BMC Medical Informatics Decis. Mak. Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke
2025	J	`jnl`	MODE: Multi-Objective Adaptive Coreset Selection. CoRR Tanmoy Mukherjee, Pierre Marquis, Zied Bouraoui
2024	J	`jnl`	Semi-supervised medical image classification via distance correlation minimization and graph attention regularization. Medical Image Anal. Abel Díaz Berenguer, Maryna Kvasnytsia, Matías Nicolás Bossa, Tanmoy Mukherjee, Nikos Deligiannis, Hichem Sahli
2024	J	`jnl`	The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel
2023	J	`jnl`	The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois
2022	A*	`conf`	NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks. CVPR Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis
2022	J	`jnl`	NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks. CoRR Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis
2022	Misc	`conf`	Novel Class Discovery: A Dependency Approach. ICASSP Tanmoy Mukherjee, Nikos Deligiannis
2022	J	`jnl`	Representation Learning with Information Theory for COVID-19 Detection. CoRR Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli
2022	—	`conf`	Representation Learning with Information Theory to Detect COVID-19 and Its Severity. ECCV Workshops (7) Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli
2021	A	`conf`	Generalization error bounds for deep unfolding RNNs. UAI Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis
2021	—	`—`	Multiview learning with sparse and unannotated data. Tanmoy Mukherjee
2020	J	`jnl`	A Conceptual Framework Towards Implementing a Cloud-Based Dynamic Load Balancer Using a Weighted Round-Robin Algorithm. Int. J. Cloud Appl. Comput. Sudipta Sahana, Tanmoy Mukherjee, Debabrata Sarddar
2019	—	`conf`	An Efficient Algorithm for Parking Lot Allocation. ICCCNT Souvik Paul, Tanmoy Mukherjee, Varsha Roy, Anchala Das, Priya Roy, Kamalesh Karmakar
2018	—	`conf`	Go-Park: A Parking Lot Allocation System in Smart Cities. ICACDS (2) Tanmoy Mukherjee, Shayon Gupta, Poulomi Sen, Vijay Pandey, Kamalesh Karmakar
2018	A*	`conf`	Learning Unsupervised Word Translations Without Adversaries. EMNLP Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales
2017	J	`jnl`	Deep Matching Autoencoders. CoRR Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales
2016	A*	`conf`	Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition. EMNLP Tanmoy Mukherjee, Timothy M. Hospedales
2013	—	`conf`	Domain Specific Facts Extraction Using Weakly Supervised Active Learning Approach. Web Intelligence Vinay Pande, Tanmoy Mukherjee, Vasudeva Varma
2013	—	`conf`	Summarizing Answers for Community Question Answer Services. GSCL Vinay Pande, Tanmoy Mukherjee, Vasudeva Varma

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.