Rajalakshmi Sivanaiah

26 papers Journal 5Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multimodal book reader with multilingual support. Multim. Tools Appl. Rajalakshmi Sivanaiah, Nishaanth Ramanathan, Shrijith M. R, Angel Deborah S
2024	J	`jnl`	A novel similarity measure SF-IPF for CBKNN with implicit feedback data. Data Technol. Appl. Rajalakshmi Sivanaiah, Mirnalinee T. T, Sakaya Milton R.
2024	—	`conf`	CLEF 2024 JOKER Task 2: Using BERT and Random Forest Classifier for Humor Classification According to Genre and Technique. CLEF (Working Notes) M. Saipranav, Jaswanth Sridharan, Gautham Narayan G, Angel Deborah S, Rajalakshmi Sivanaiah, Mirnalinee T. T, Samyuktaa Sivakumar
2024	—	`conf`	SSN_ARMM at SemEval-2024 Task 10: Emotion Detection in Multilingual Code-Mixed Conversations using LinearSVC and TF-IDF. SemEval@NAACL Rohith Arumugam S, Angel Deborah S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, Mirnalinee Thankanadar
2024	—	`conf`	Self-harm Detection from Texts: A Comparative Study Utilizing BERT, Machine Learning, and Deep Learning Approaches. ICCIDS (1) Rajalakshmi Sivanaiah, Sushmithaa Pandian, S. Subhankar, Samyuktaa Sivakumar, R. Rohan, Angel Deborah S
2024	—	`conf`	TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations. SemEval@NAACL Ravindran V., Shreejith Babu G, Aashika Jetti, Rajalakshmi Sivanaiah, Angel Deborah S, Mirnalinee Thankanadar, Sakaya Milton R.
2024	—	`conf`	TECHSSN at SemEval-2024 Task 1: Multilingual Analysis for Semantic Textual Relatedness using Boosted Transformer Models. SemEval@NAACL Shreejith Babu G, Ravindran V., Aashika Jetti, Rajalakshmi Sivanaiah, Angel Deborah S
2024	—	`conf`	TECHSSN1 at SemEval-2024 Task 10: Emotion Classification in Hindi-English Code-Mixed Dialogue using Transformer-based Models. SemEval@NAACL Venkatasai Ojus Yenumulapalli, Pooja Premnath, Parthiban Mohankumar, Rajalakshmi Sivanaiah, Angel Deborah S
2023	J	`jnl`	Factoring textual reviews into user preferences in multi-criteria based content boosted hybrid filtering (MCCBHF) recommendation system. AI Commun. Rajalakshmi Sivanaiah, R. Sakaya Milton, T. T. Mirnalinee
2023	—	`conf`	Optimizing Visual Pairings: A CLIP Framework for Precision News Image Rematching. MediaEval Pooja Premnath, Venkatasai Ojus Yenumulapalli, Rajalakshmi Sivanaiah, Angel Deborah Suseelan
2023	—	`conf`	TechSSN at SemEval-2023 Task 12: Monolingual Sentiment Classification in Hausa Tweets. SemEval@ACL Nishaanth Ramanathan, Rajalakshmi Sivanaiah, Angel Deborah S, Mirnalinee Thanka Nadar Thanagathai
2022	J	`jnl`	Contextual emotion detection on text using gaussian process and tree based classifiers. Intell. Data Anal. Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee, Rajalakshmi Sivanaiah
2022	—	`conf`	SSN_ARMM@ LT-EDI -ACL2022: Hope Speech Detection for Equality, Diversity, and Inclusion Using ALBERT model. LT-EDI Praveenkumar Vijayakumar, Prathyush S, Aravind P, Angel Suseelan, Rajalakshmi Sivanaiah, S. Milton Rajendram, T. T. Mirnalinee
2022	—	`conf`	SSN_MLRG1 at SemEval-2022 Task 10: Structured Sentiment Analysis using 2-layer BiLSTM. SemEval@NAACL Karun Anantharaman, Divyasri K, Jayannthan Pt, Angel Deborah S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, T. T. Mirnalinee
2022	—	`conf`	SSN_MLRG1@LT-EDI-ACL2022: Multi-Class Classification using BERT models for Detecting Depression Signs from Social Media Text. LT-EDI Karun Anantharaman, Angel Suseelan, Rajalakshmi Sivanaiah, Saritha Madhavan, Sakaya Milton Rajendram
2022	—	`conf`	SSN_MLRG3 @LT-EDI-ACL2022-Depression Detection System from Social Media Text using Transformer Models. LT-EDI Sarika Esackimuthu, Shruthi Hariprasad, Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee
2022	—	`conf`	TechSSN at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification using Deep Learning Models. SemEval@NAACL Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee
2022	—	`conf`	TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models. SemEval@NAACL Ramdhanush V, Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee
2021	—	`conf`	Internet of Things enabled Smart Dustbins using Capacitated Vehicle Routing. ICCCSP M. S. Pranathy, S. Ranjana, P. S. Reenu Rita, Rajalakshmi Sivanaiah, Angel Deborah S
2021	—	`conf`	TECHSSN at SemEval-2021 Task 7: Humor and Offense detection and classification using ColBERT embeddings. SemEval@ACL/IJCNLP Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee, Abrit Pal Singh, Aviansh Gupta, Ayush Nanda
2020	J	`jnl`	Content boosted hybrid filtering for solving pessimistic user problem in recommendation systems. Intell. Data Anal. Rajalakshmi Sivanaiah, R. Sakaya Milton, T. T. Mirnalinee
2020	—	`conf`	TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings. SemEval@COLING Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee
2019	—	`conf`	SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data. SemEval@NAACL-HLT Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee
2019	—	`conf`	TECHSSN at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Tweets using Deep Neural Networks. SemEval@NAACL-HLT Angel Deborah Suseelan, Rajalakshmi Sivanaiah, Logesh B, Harshini S, Geetika Bandlamudi, Dyaneswaran S, Sakaya Milton Rajendram, T. T. Mirnalinee
2018	—	`conf`	SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection. SemEval@NAACL-HLT Angel Deborah S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, T. T. Mirnalinee
2018	—	`conf`	SSN MLRG1 at SemEval-2018 Task 3: Irony Detection in English Tweets Using MultiLayer Perceptron. SemEval@NAACL-HLT Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee

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.