Gathika Ratnayaka

22 papers A* 1A 1C 2Journal 11Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Learning Partial Graph Matching via Optimal Partial Transport. ICLR Gathika Ratnayaka, James Nichols, Qing Wang
2025	—	`conf`	Solving Partial Graph Matching as a Stable Matching Problem. AI (1) Gathika Ratnayaka, Yang Li, James A. Nichols, Qing Wang
2024	J	`jnl`	Optimal Partial Graph Matching. CoRR Gathika Ratnayaka, James Nichols, Qing Wang
2023	A	`conf`	Contrastive learning for supervised graph matching. UAI Gathika Ratnayaka, Qing Wang, Yang Li
2022	J	`jnl`	Context Sensitive Verb Similarity Dataset for Legal Information Extraction. Data Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Gayan Kavirathne, Thirasara Ariyarathna, Anjana Wijesinghe
2022	J	`jnl`	Legal Party Extraction from Legal Opinion Texts Using Recurrent Deep Neural Networks. J. Data Intell. Chamodi Samarawickrama, Melonie de Almeida, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera
2022	J	`jnl`	SigmaLaw PBSA - A Deep Learning Approach For Aspect Based Sentiment Analysis in Legal Opinion Texts. J. Data Intell. Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera
2021	C	`conf`	Identifying Legal Party Members from Legal Opinion Documents using Natural Language Processing. iiWAS Melonie de Almeida, Chamodi Samarawickrama, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera
2021	—	`conf`	Sigmalaw PBSA - A Deep Learning Model for Aspect-Based Sentiment Analysis for the Legal Domain. DEXA (1) Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka
2020	C	`conf`	Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting. PACLIC Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Ramesh Pathirana
2020	J	`jnl`	Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting. CoRR Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Ramesh Pathirana
2020	—	`conf`	Enhancing the Identification of Cyberbullying through Participant Roles. WOAH Gathika Ratnayaka, Thushari Atapattu, Mahen Herath, Georgia Zhang, Katrina Falkner
2020	J	`jnl`	Enhancing the Identification of Cyberbullying through Participant Roles. CoRR Gathika Ratnayaka, Thushari Atapattu, Mahen Herath, Georgia Zhang, Katrina Falkner
2020	—	`conf`	Party Identification of Legal Documents using Co-reference Resolution and Named Entity Recognition. ICIIS Chamodi Samarawickrama, Melonie de Almeida, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera
2020	J	`jnl`	Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts. CoRR Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera
2020	—	`conf`	SigmaLaw-ABSA: Dataset for Aspect-Based Sentiment Analysis in Legal Opinion Texts. ICIIS Chanika Ruchini Mudalige, Dilini Karunarathna, Isanka Rajapaksha, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera, Ramesh Pathirana
2020	J	`jnl`	SigmaLaw-ABSA: Dataset for Aspect-Based Sentiment Analysis in Legal Opinion Texts. CoRR Chanika Ruchini Mudalige, Dilini Karunarathna, Isanka Rajapaksha, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera, Ramesh Pathirana
2019	J	`jnl`	Shift-of-Perspective Identification Within Legal Cases. CoRR Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Viraj Salaka Gamage, Menuka Warushavithana, Amal Shehan Perera
2019	—	`conf`	Shift-of-Perspective Identification within Legal Cases. ASAIL@ICAIL Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Viraj Salaka Gamage, Menuka Warushavithana, Amal Shehan Perera
2018	—	`conf`	Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning. WASSA@EMNLP Viraj Salaka Gamage, Menuka Warushavithana, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka, Thejan Rupasinghe
2018	J	`jnl`	Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning. CoRR Viraj Gamage, Menuka Warushavithana, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka, Thejan Rupasinghe
2018	J	`jnl`	Identifying Relationships Among Sentences in Court Case Transcripts Using Discourse Relations. CoRR Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Menuka Warushavithana, Viraj Gamage, Amal Shehan Perera

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.