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ORCIDT. T. Mirnalinee
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- affiliation: SSN College of Engineering Kalavakkam, India
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2020 – today
- 2024
[j17]Shahul Hamead Haja Moinudeen
, Mirnalinee Thanganadar Thangathai, Kavi Priya Dhandapani:
Selective wakeup for parallel forward engines under variable load towards energy conservation in IP routers. Concurr. Comput. Pract. Exp. 36(1) (2024)- [j16]Kavi Priya Dhandapani, Mirnalinee Thanganadar Thangathai, Shahul Hamead Haja Moinudeen:
A novel eviction policy based on shortest remaining time for software defined networking flow tables. Int. J. Netw. Manag. 34(3) (2024) - [j15]Rajalakshmi Sivanaiah, Mirnalinee T. T, Sakaya Milton R.:
A novel similarity measure SF-IPF for CBKNN with implicit feedback data. Data Technol. Appl. 58(5): 742-767 (2024) - [j14]Benisha S., T. T. Mirnalinee:
Smart-ESP System for Emotion Strength Prediction for Static Facial Images. Wirel. Pers. Commun. 134(2): 1059-1074 (2024) - [c38]Bhavana Anand, Themozhi J, Shreyas Sai R, Charumathi P, Mirnalinee T. T.:
SSN-MLRG at Text to Picto 2024 : A BERT-Based Approach for Mapping French Sentences to Pictogram Terms. CLEF (Working Notes) 2024: 1474-1479 - [c37]M. Saipranav, Jaswanth Sridharan, Gautham Narayan G, Angel Deborah S, Rajalakshmi Sivanaiah, Mirnalinee T. T, Samyuktaa Sivakumar:
CLEF 2024 JOKER Task 2: Using BERT and Random Forest Classifier for Humor Classification According to Genre and Technique. CLEF (Working Notes) 2024: 1902-1908 - [c36]Rohith Arumugam S, Angel Deborah S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, Mirnalinee Thankanadar:
SSN_ARMM at SemEval-2024 Task 10: Emotion Detection in Multilingual Code-Mixed Conversations using LinearSVC and TF-IDF. SemEval@NAACL 2024: 730-736 - [c35]Ravindran V, Shreejith Babu G, Aashika Jetti, Rajalakshmi Sivanaiah, Angel Deborah, Mirnalinee Thankanadar, Sakaya Milton R.:
TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations. SemEval@NAACL 2024: 763-769 - 2023
- [j13]Rajalakshmi Sivanaiah, R. Sakaya Milton, T. T. Mirnalinee:
Factoring textual reviews into user preferences in multi-criteria based content boosted hybrid filtering (MCCBHF) recommendation system. AI Commun. 36(3): 175-190 (2023) - [j12]Benisha S., Mirnalinee T. T.:
Human facial emotion recognition using deep neural networks. Int. Arab J. Inf. Technol. 20(3): 303-309 (2023) - [c34]Advaith Nila Narayanan, Shyam Sundar Das, T. T. Mirnalinee:
Prediction of DILI in Humans: Investigating Opportunities in DILIst Data, Chemical Features, Machine Learning and Rule-Based Methods. BIBM 2023: 3103-3110 - [c33]Advaith Nila Narayanan, Shyam Sundar Das, T. T. Mirnalinee:
Evaluation of AutoML Frameworks for Computational ADMET Screening in Drug Discovery & Development. BIBM 2023: 4929-4931 - [c32]Harshida Sujatha Palaniraj, Keerthan Vinod, Mohith Adluru, Bhuvana Jayaraman, Mirnalinee T. T:
MLRG-JBTTM at MEDIQA-Sum 2023: Dialogue2Topic Classification. CLEF (Working Notes) 2023: 1711-1719 - [c31]Bhuvana Jayaraman, Mirnalinee T. T, Harshida Sujatha Palaniraj, Mohith Adluru, Sanjjit Sounderrajan:
Automated Recognition of Sports Scores using PyTessaract OCR and CNN: SportsVideo Task at MediaEval 2023. MediaEval 2023 - [c30]Nishaanth Ramanathan, Rajalakshmi Sivanaiah, Angel Deborah S, Mirnalinee Thanka Nadar Thanagathai:
TechSSN at SemEval-2023 Task 12: Monolingual Sentiment Classification in Hausa Tweets. SemEval@ACL 2023: 1190-1194 - 2022
- [j11]J. Bhuvana, T. T. Mirnalinee, B. Bharathi, Infant Sneha:
Efficient generative transfer learning framework for the detection of COVID-19. Comput. Sci. Inf. Syst. 19(3): 1241-1259 (2022) - [j10]Sujaudeen Nannai John, T. T. Mirnalinee:
TARNN: Task-aware autonomic resource management using neural networks in cloud environment. Concurr. Comput. Pract. Exp. 34(8) (2022) - [j9]Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee, Rajalakshmi Sivanaiah:
Contextual emotion detection on text using gaussian process and tree based classifiers. Intell. Data Anal. 26(1): 119-132 (2022) - [c29]Aarthi Suresh Kumar, Anirudh Anand, Jeet Golecha, Karthik Raja Anandan, Bhuvana Jayaraman, Mirnalinee T. T:
Multi Regressor Based User Rating Predictor for ImageCLEF Aware 2022. CLEF (Working Notes) 2022: 1590-1595 - [c28]Praveenkumar Vijayakumar, Prathyush S, Aravind P, Angel Suseelan, Rajalakshmi Sivanaiah, S. Milton Rajendram, T. T. Mirnalinee:
SSN_ARMM@ LT-EDI -ACL2022: Hope Speech Detection for Equality, Diversity, and Inclusion Using ALBERT model. LT-EDI 2022: 172-176 - [c27]Sarika Esackimuthu, Shruthi Hariprasad, Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN_MLRG3 @LT-EDI-ACL2022-Depression Detection System from Social Media Text using Transformer Models. LT-EDI 2022: 196-199 - [c26]Gokul Prakash R, Bhuvana Jayaraman, Eeswara Anvesh Chodisetty, Arjun Mukesh, Mirnalinee T. T:
Multi-model Estimators and Ensemble-based Regressors for Predicting Video Memorability. MediaEval 2022 - [c25]Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
TechSSN at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification using Deep Learning Models. SemEval@NAACL 2022: 571-574 - [c24]Ramdhanush V, Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models. SemEval@NAACL 2022: 851-855 - [c23]Karun Anantharaman, Divyasri K, Jayannthan Pt, Angel Deborah S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN_MLRG1 at SemEval-2022 Task 10: Structured Sentiment Analysis using 2-layer BiLSTM. SemEval@NAACL 2022: 1324-1328 - 2021
- [j8]Arjun Paramarthalingam, Mirnalinee Thankanadar:
Extraction of compact boundary normalisation based geometric descriptors for affine invariant shape retrieval. IET Image Process. 15(5): 1093-1104 (2021) - [j7]Angel Deborah S, T. T. Mirnalinee, Sakaya Milton Rajendram:
Emotion Analysis on Text Using Multiple Kernel Gaussian... Neural Process. Lett. 53(2): 1187-1203 (2021) - [c22]Anirudh Anand, Karthik Raja Anandan, Bhuvana Jayaraman, Mirnalinee Thanga Nadar Thanga Thai:
Simple Neural Network based TB Classification. CLEF (Working Notes) 2021: 1145-1150 - [c21]Anirudh Anand, Jeet Golecha, Bharathi B, Bhuvana Jayaraman, Mirnalinee T. T:
Machine Learning Based Hate Speech Identification for English and Indo-Aryan Languages. FIRE (Working Notes) 2021: 432-438 - [c20]Bhuvana Jayaraman, Mirnalinee T. T, Karthik Raja Anandan, Aarthi Suresh Kumar, Anirudh Anand:
Offensive Text Prediction using Machine Learning and Deep Learning Approaches. FIRE (Working Notes) 2021: 688-695 - [c19]K. A. Karthikraja, Aarthi Suresh Kumar, B. Bharathi, Jayaraman Bhuvana, T. T. Mirnalinee:
Abusive and Threatening Language Detection in Native Urdu Script Tweets Exploring Four Conventional Machine Learning Techniques and MLP. FIRE (Working Notes) 2021: 806-812 - [c18]Bhuvana J, Mirnalinee T. T, Bharathi B, Jayasooryan S, Lokesh N. N:
YOLOV5 for Stroke Detection and Classification in Table Tennis. MediaEval 2021 - [c17]Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee, Abrit Pal Singh, Aviansh Gupta, Ayush Nanda:
TECHSSN at SemEval-2021 Task 7: Humor and Offense detection and classification using ColBERT embeddings. SemEval@ACL/IJCNLP 2021: 1185-1189 - 2020
- [j6]Shahul Hamead Haja Moinudeen, Mirnalinee Thanganadar Thangathai, Kavi Priya Dhandapani:
Emulation of burst-based adaptive link rates in NetFPGA towards green networking. Turkish J. Electr. Eng. Comput. Sci. 28(3): 1246-1263 (2020) - [j5]Rajalakshmi Sivanaiah, R. Sakaya Milton, T. T. Mirnalinee:
Content boosted hybrid filtering for solving pessimistic user problem in recommendation systems. Intell. Data Anal. 24(6): 1477-1496 (2020) - [j4]Sujaudeen Nannai John, T. T. Mirnalinee:
A novel dynamic data replication strategy to improve access efficiency of cloud storage. Inf. Syst. E Bus. Manag. 18(3): 405-426 (2020) - [c16]Ujjwel Balwal, Srinivasa Arun Yeragudipati, Bhuvana Jayaraman, Mirnalinee Thanga Nadar Thanga Thai:
Deep Learning based TB Severity Prediction. CLEF (Working Notes) 2020 - [c15]Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings. SemEval@COLING 2020: 2190-2196
2010 – 2019
- 2019
- [c14]Hariny Ganapathy, Geetika Bandlamudi, Yamini L, Bhuvana J, T. T. Mirnalinee:
Deep Learning Models for Estimation of Flood Severity Using Multimodal and Satellite Images. MediaEval 2019 - [c13]Siddharth Sriraman, Srinath Srinivasan, Vishnu K. Krishnan, Bhuvana J, T. T. Mirnalinee:
MediaEval 2019: LRCNs for Stroke Detection in Table Tennis. MediaEval 2019 - [c12]Angel Deborah Suseelan, Rajalakshmi Sivanaiah, Logesh B, Harshini S, Geetika Bandlamudi, Dyaneswaran S, Sakaya Milton Rajendram, T. T. Mirnalinee:
TECHSSN at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Tweets using Deep Neural Networks. SemEval@NAACL-HLT 2019: 753-758 - [c11]Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data. SemEval@NAACL-HLT 2019: 1237-1241 - 2018
- [j3]P. Arjun, T. T. Mirnalinee:
An Efficient Image Retrieval System Based on Multi-Scale Shape Features. J. Circuits Syst. Comput. 27(11): 1850174:1-1850174:18 (2018) - [j2]Megha Vora, T. T. Mirnalinee:
Dynamic small world particle swarm optimizer for function optimization. Nat. Comput. 17(4): 901-917 (2018) - [c10]Angel Deborah S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection. SemEval@NAACL-HLT 2018: 324-328 - [c9]Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN MLRG1 at SemEval-2018 Task 3: Irony Detection in English Tweets Using MultiLayer Perceptron. SemEval@NAACL-HLT 2018: 633-637 - 2017
- [c8]Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier. SemEval@ACL 2017: 709-712 - [c7]Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model. SemEval@ACL 2017: 823-826 - 2016
- [c6]N. Sowmiya, H. Shahul Hamead, T. T. Mirnalinee:
Adaptive link rates for burst based transmission towards the prosperity of green networks. ANTS 2016: 1-6 - 2013
- [c5]Megha Vora, T. T. Mirnalinee:
Small World Particle Swarm Optimizer for Global Optimization Problems. PReMI 2013: 575-580 - [c4]P. Sanju, T. T. Mirnalinee:
Construction of Enhanced Sentiment Sensitive Thesaurus for Cross Domain Sentiment Classification Using Wiktionary. SocProS (2) 2013: 195-206 - [c3]Megha Vora, T. T. Mirnalinee:
Small World Particle Swarm Optimizer for Data Clustering. SocProS (2) 2013: 403-410 - 2011
- [j1]Sukhendu Das, T. T. Mirnalinee, Koshy Varghese:
Use of Salient Features for the Design of a Multistage Framework to Extract Roads From High-Resolution Multispectral Satellite Images. IEEE Trans. Geosci. Remote. Sens. 49(10): 3906-3931 (2011)
2000 – 2009
- 2009
- [c2]T. T. Mirnalinee, Sukhendu Das, Koshy Varghese:
Integration of Region and Edge-based information for Efficient Road Extraction from High Resolution Satellite Imagery. ICAPR 2009: 373-376 - 2002
- [c1]K. Dhinesh Kumar, L. Karunamoorthy, Hubert Roth, T. T. Mirnalinee:
Web based real-time mobile access to integrated automation. ICARCV 2002: 258-263
Coauthor Index
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