Conference
-
260. S. Das, B. Mujavarsheik, R E Zera Lyngkhoi, S. Saha and A. Maurya (2025),
"Deciphering the complaint aspects: Towards an aspect-based complaint identification
model with video complaint dataset in finance",
WACV 2025 (IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)), USA.
-
259. P. Sahoo, P. Meharia, A. Ghosh, S. Saha, V. Jain, A. Chadha (2024), “Unveiling Halluci-
nation in Text, Image, Video, and Audio Foundation Models: A Comprehensive Review”,
EMNLP findings 2024, The 2024 Conference on Empirical Methods in Natural Language
Processing, November 12–16, Miami, Florida (Core rank A*).
-
258. A. Ghosh, A. Acharya, S. Saha, G. Pandey, D. Raghu, S. Sinha(2024), “HealthAlign-
Summ: Utilizing Alignment for Multimodal Summarization of Code-Mixed Healthcare
Dialogues”, EMNLP findings 2024, The 2024 Conference on Empirical Methods in Natural Language Processing, November 12–16, Miami, Florida (Core rank A*).
-
257. K. Maity, A.S. Poornash, S. Saha and K. Pasupa (2024),
"ToxVI: a Multimodal LLM-based Framework for Generating Intervention in Toxic Code-Mixed Videos",
33rd ACM International Conference on Information and Knowledge Management (CIKM 2024),
Boise Centre Boise, Idaho, USA from October 21 – 25 2024 (short paper) (Core rank A).
-
256. R. Devanathan, A. Singh, A.S. Poornash, S. Saha (2024),
"Seeing Beyond Words: Multimodal Aspect-Level Complaint Detection in Ecommerce Videos",
ACM Multimedia, Melbourne, Australia, 28th October 1st November 2024 (Core rank A*).
-
255. P. Sahoo, A. Tripathi, S. Saha, and S. Mondal (2024), "FedMRL: Data Heterogeneity
Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging",
27th INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED
INTERVENTION (MICCAI 2024), 6-10 October 2024, MARRAKESH, MOROCCO (core rank A).
-
254. A. Tiwari, Muhammed Sinan C K, K. Roy, A. Sheth, S. Saha,
P. Bhattacharyya (2024), "Hi Model, generating "nice" instead of "good" is not as
bad as generating "rice"! Towards Context and Semantic Infused Dialogue Generation Loss
Function", in European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML-PKDD 2024) going to be held from
September 9-13 in Vilnius (Core rank A).
-
253. P. Jha, R. Jain, K. Mandal, A. Chadha, S. Saha, P. Bhattacharyya (2024),
"MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation
via Meme Intervention", 62nd Annual Meeting of the Association for Computational
Linguistics (ACL 2024), Bangkok, Thailand August 11–16, 2024 (Core rank A*).
-
252. A. Ghosh, M. Singh Tomar, A. Tiwari, S. Saha, J. A. Salve,
S. Sinha (2024), "From Sights to Insights: Towards Summarization of
Multimodal Clinical Documents", 62nd Annual Meeting of the Association
for Computational Linguistics (ACL 2024), Bangkok, Thailand August 11–16, 2024 (Core rank A*).
-
251. K. Maity, A.S. Poornash, S. Saha, P. Bhattacharyya (2024),
"ToxVidLLM: A Multimodal Approach to Detect Toxicity in Code-Mixed Video Content",
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
Findings, Bangkok, Thailand August 11–16, 2024 (Core rank A*).
-
250. P. Sahoo, A. K. Singh, S. Saha, A. Chadha, S. Mondal (2024),
"Enhancing Adverse Drug Event Detection with Multimodal Dataset:
Corpus Creation and Model Development", 62nd Annual Meeting of the
Association for Computational Linguistics (ACL 2024) Findings, Bangkok,
Thailand August 11–16, 2024 (Core rank A*) (Findings).
-
249. R. Kumar, D. Prakash,
S. Saha
, and S. Sharma (2024), “IndicBART alongside Visual
Element: Multimodal Summarization in Diverse Indian Languages”,
ICDAR (Interna-
tional Conference on Document Analysis and Recognition 2024)
, Athens, Greece from 30
August–4 September 2024 (Core rank A).
-
248. D. Sojitra, R. Jain,
S. Saha
, A. Jatowt and M. Gupta (2024), "Timeline Summarization in the Era of LLMs", 47th International
ACM SIGIR Conference on Research and Development in Information Retrieval
(𝐒𝐈𝐆𝐈𝐑 𝟐𝟎𝟐𝟒), July 14-18, 2024 (Washington D.C., USA).
-
247. P. Mondal, S. Singh, Kushum,
S. Saha
, J. P. Singh, B. Singh, PhD, N. Pedanekar (2024), "Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis",
WebConf 2024 (WWW 2024)
, Singapore, May 13-17, 2024 (Core rank A*).
-
246. P. Jha, K. Maity, R. Jain, A. Verma,
S. Saha
, P. Bhattacharyya (2024),"Meme-ingful
Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Ex-
planations", 18th Conference of the
European Chapter of the Association for Computational Linguistics
(EACL 2024), March 17-22, 2024 (Core rank A).
-
245. A. Ghosh, A. Acharya, R. Jain,
S. Saha
, A. Chadha, S. Sinha (2024), "CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare,
AAAI (Association for the Advancement of Artificial Intelligence)
(2024), (Core rank A*), February 20-27, 2024, Canada.
-
244. A. Ghosh, A. Acharya, P. Jha, A. Gaudgaul, R. Majumdar,
S. Saha
, A. Chadha, R. Jain, S. Sinha and S. Agarwal (2024), "MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries",
ECIR (European Conference on Information Retrieval)
2024 (IR for Good), Glasgow, Scotland, 24th-28th March 2024 (Core rank A).
-
243. M. S. Tomar, A. Tiwari, T. Saha, P. Jha,
S. Saha
(2024), "An EcoSage Assistant: Towards Building A Multimodal Plant Care Dialogue Assistant",
ECIR (European Conference on Information Retrieval)
2024, Glasgow, Scotland, 24th-28th March 2024 (Core rank A).
-
242. A. Tiwari, S. Bera,
S. Saha
, P. Bhattacharyya, and S. Ghosh (2024), "Yes, this is what I was looking for! Towards Multi-modal Medical Consultation Concern Summary Generation",
ECIR (European Conference on Information Retrieval)
2024 (IR for Good), Glasgow, Scotland, 24th-28th March 2024 (Core rank A).
-
241. S. Raj, P. Agrawal,
S. Saha
, B. Singh, and N. Pedanekar (2023), "Optimizing Movie Selections: A Multi-Task, Multi-Modal Framework with Strategies for Missing Modality Challenges",
39th ACM/SIGAPP Symposium On Applied Computing
, Avila, Spain, April 8 --April 12, 2024.
-
240. A. Singh, S. Chandrasekar,
S. Saha
, T. Sen (2023), "Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification",
Conference on Empirical Methods in Natural Language Processing 2023 (Core rank A*)
, Singapore.
-
239. A. Tiwari, S. Bera, P. Verma, J. V. Manthena,
S. Saha
, P. Bhattacharyya, M. Dhar and S. Tiwari (2024), "Seeing is believing! Towards Knowledge-Infused Multi-modal Medical Dialogue Generation",
LREC-COLING 2024
,
Lingotto Conference Centre - Torino
(Italia) from 20-25 May 2024.
-
238. M. S. Tomar, T. Saha, A. Tiwari, and
S. Saha
(2024), "Action and Reaction go hand in hand! A Multi-modal Dialogue Act aided Sarcasm Identification",
LREC-COLING 2024
,
Lingotto Conference Centre - Torino
(Italia) from 20-25 May 2024.
-
237. K. Maity, R. Jain, P. Jha,
S. Saha
, P. Bhattacharyya (2023), "GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection",
Conference on Empirical Methods in Natural Language Processing 2023
(Core rank A*)
, Singapore
-
236. A. Raut,
S. Saha
, A. Maitra and R. Ramnani (2023), “Sentiment Aided Graph Attentive
Contextualization for Task-Oriented Negotiation Dialogue Generation”,
IJCNLP-AACL
2023: The 13th International Joint Conference on Natural Language Processing and
the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational
Linguistics,
Bali, Indonesia (November 1–4).
-
235. A. Singh, R. Jain,
S. Saha
(2023), “Reimagining Complaint Analysis: Adopting Seq2Path
for a Generative Text-to-Text Framework”, IJCNLP-AACL 2023:
The 13th Interna-
tional Joint Conference on Natural Language Processing and the 3rd Conference of the
Asia-Pacific Chapter of the Association for Computational Linguistics,
Bali, Indonesia
(November 1–4).
-
234. R. Kumar, R. Chakraborty, A. Tiwari,
S. Saha
and N. Saini (2023), "Diving into a Sea of Opinions: Multi-modal Abstractive Summarization with Comment Sensitivity”,
32nd ACM International Conference on Information and Knowledge Management (CIKM) (Core rank A)
, The University of Birmingham and Eastside Rooms, UK from Saturday 21 - Wednesday 25 October 2023.
-
233. A. Singh, A. Verma, R. Jain, and
S. Saha
(2023), "Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis”,
32nd ACM International Conference on Information and Knowledge Management(CIKM) (Core rank A)
, The University of Birmingham, UK, Saturday
21 - Wednesday 25 October 2023.
-
232. A. Tiwari, A. Saha,
S. Saha
, P. Bhattacharyya and M. Dhar (2023), "Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization”,
32nd ACM International Conference on Information and Knowledge Management(CIKM) (Core rank A)
, The University of Birmingham, UK from Saturday 21 - Wednesday 25 October 2023.
-
231. A. Tiwari, A. Bhansali,
S. Saha
, P. Bhattacharyya, P. Verma, M. Dhar (2023), "Local context is not enough! Towards Query Semantic and Knowledge Guided Multi-Span Medical Question Answering”,
ECAI (European Conference on Artificial Intelligence) 2023 (Core rank A)
.
-
230. R. Jain, T. Saha,
S. Saha
(2023), "T-VAKS: A Tutoring-based Multimodal Dialog System via Knowledge Selection”,
ECAI (European Conference on Artificial Intelligence) 2023 (Core rank A)
.
-
229. M. Singh Tomar, A. Tiwari, T. Saha,
S. Saha
(2023), "Your tone speaks louder than your face! Modality Order Infused Multi-modal Sarcasm Detection”,
ACM Multimedia (Core rank: A*)
.
-
228. R.Jain, A. Singh, V. Gangwar,
S. Saha
(2023), "AbCoRD: Exploiting multimodal generative approach for Aspect-based Complaint and Rationale Detection”,
ACM Multimedia (Core rank: A*)
.
-
227. A. Singh, R. Jain, P. Jha,
S. Saha
(2023), "Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection”,
ACL 2023 (Core rank: A*)
.
-
226. R. Jain, T. Saha, J. Lalwani,
S. Saha
(2023), "Can you Summarize my learnings? Towards Perspective-based Educational Dialogue Summarization",
Conference on Empirical Methods in Natural Language Processing 2023
(Core rank A*)
, Singapore.
-
225. R. Jain, D. Sojitra, A. Acharya,
S. Saha
, A. Jatowt, S. Dandapat (2023), "Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models",
Conference on Empirical Methods in Natural Language Processing 2023
(Core rank A*)
.
-
224. N. Arya, K. Gupta,
S. Saha
(2023), "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework”,
2023 45th Annual International Conference of the IEEE Engineering in Medicine Biology Conference (EMBC)
, Sydney, Australia from 24th-27th July 2023.
-
223. S. Roha, N. Ganapathy, N. Spicher,
S. Saha
, T. Deserno (2023), "Assessment of Driver’s Stress using Multimodal Biosignals and Regularized Deep Kernel Learning”,
2023 45th Annual International Conference of the IEEE Engineering in Medicine Biology Conference (EMBC)
, Sydney, Australia from 24th-27th July 2023.
-
222. K. Maity, P. Jha, R. Jain,
S. Saha
, P. Bhattacharyya (2023), "Explain Thyself Bully: Sentiment Aided Cyberbullying Detection with Explanation”,
International Conference on Document Analysis and Recognition (ICDAR 2023) (Core rank A)
-
221. R. Kumar, R. Sinha,
S. Saha
, A. Jatowt (2023), "Multimodal Rumour Detection: Catching news that never transpired!”,
International Conference on Document Analysis and Recognition (ICDAR 2023) (Core rank A)
.
-
220. S. Das,
S. Saha
, A. Maurya (2023), "Find the Table”: A Contrastive Learning-Based Approach with Faster RCNN for Establishing Tabular Entity Relationships”,
International Joint Conference on Neural Network (IJCNN 2023)
.
-
219. S. Raj, P. Mondal, D. Chakder,
S. Saha
, N. Onoe (2023), "A Multi-Modal Multi-Task
Based Approach for Movie Recommendation”,
International Joint Conference on Neural Network (IJCNN 2023)
, Australia.
-
218. R. Jain, K. Maity, P. Jha,
S. Saha
(2023), "Generative Models Vs Discriminative Models:
Which Performs Better in Detecting Cyberbullying in Memes?”,
International Joint Conference on Neural Network (IJCNN 2023)
, Australia.
-
217. S. Mukherjee, R. Kumar,
S. Saha
, A. Jatowt, A. Jangra (2023), "Can Multimodal Pointer
Generator Transformers Produce Topically Relevant Summaries?”,
International Joint Conference on Neural Network (IJCNN 2023)
, Australia.
-
216. S. Das, A. Singh, R. Jain,
S. Saha
, A. Maurya (2023), "Let the model make financial senses: a Text2Text generative approach for financial complaint identification",
PAKDD 2023 (Core rank A)
, Japan.
-
215. Y. Verma, A. Jangra, R. Verma and
S. Saha
(2023), "Large Scale Multi-Lingual Multi-Modal Summarization Dataset",
EACL 2023 (Core rank A)
.
-
214. A. Singh, V. Gangwar, S. Sharma,
S. Saha
(2023), "Knowing What and How: A Multi-modal Aspect-Based Framework for Complaint Detection",
ECIR 2023 (Core rank A)
, Dublin.
-
213. A. Singh, P. Jha, R. Bhatia,
S. Saha
(2023), "What is your cause for concern? Towards Interpretable Complaint Cause Analysis",
ECIR 2023 (Core rank A)
, Dublin, Ireland.
-
212. V. Singh Roha, N. Saini,
S. Saha
, J. Moreno (2023), "MOO-CMDS+NER: Named Entity Recognition-based Extractive Comment-oriented Multi-document Summarization",
ECIR 2023 (Core rank A)
, Dublin, Ireland.
-
211. P. Mondal, D. Chakder, S. Raj,
S. Saha
and Naoyuki Onoe (2023), "Graph Convolutional Neural Network for Multimodal Movie Recommendation", in
ACM Symposium on Applied Computing
, Tallinn Estonia.
.
-
209. A. Tiwari, M. Manthena,
S. Saha
, P. Bhattacharyya, M. Dhar and S. Tiwari (2022), "Dr. Can See: Towards a Multi-modal Disease Diagnosis Virtual Assistant", in
CIKM 2022, Altanta (core rank A)
.
-
208. T. Saha, A. Prakash Patra,
S. Saha
and P. Bhattacharyya (2022), "Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification", in
AACL-IJCNLP 2022
.
-
207. A. Tiwari,
S. Saha
, S. Sengupta, A. Maitra, R. Ramnani and P. Bhattacharyya (2022), "Persona or Context? Towards Building Context adaptive Personalized Persuasive Virtual Sales Assistant", in
AACL-IJCNLP 2022
.
-
206. S. Mukherjee, A. Jangra,
S. Saha
, and A. Jatowt (2022), "Topic-aware Multimodal Summarization", in
AACL-IJCNLP Findings 2022
.
-
205. P. Sahoo,
S. Saha
, S. Mondal, S. Chowdhury and S. Gowda (2022), "Vision Transformer-based Federated Learning for COVID-19 Detection using Chest X-ray", in
ICONIP 2022
, New-Delhi, India (Core rank B).
-
204. K. Maity, S. Bhattacharya,
S. Saha
, S. Janoai, and K. Pasupa (2022), "FastThaiCaps: A Transformer based Capsule Network for Hate Speech Detection in Thai Language", in
ICONIP 2022
, New-Delhi, India (Core rank B).
-
203. A. Raut, S. Das, A. Tiwari,
S. Saha
, A. Maitra, R. Ramnani and S. Sengupta (2022), "Introducing Multi-modality in Persuasive Task Oriented Virtual Sales Agent", in
ICONIP
-
2022
, New-Delhi, India (Core rank B).
-
202. S. Palmal, N. Arya,
S. Saha
and S. Tripathy (2022), "A Multi-modal Graph Convolutional Network for Predicting Human Breast Cancer Prognosis", in
ICONIP 2022
, New-Delhi, India (Core rank B).
-
201. D. Das, N. Arya and
S. Saha
(2022), "Efficient-Nets and their Fuzzy Ensemble: An Approach for Skin Cancer Classification", in
ICONIP 2022
, New-Delhi, India (Core rank B).
-
200. R. Kumar and
S. Saha
(2022), "Decoding Brain Signals with Meta-Learning", in
ICONIP 2022
, New-Delhi, India (Core rank B).
-
199. C. Suman,
S. Saha
and P. Bhattacharyya (2022), "Emotion-aided Multi-modal Personality Prediction System", in
ICONIP 2022
, New-Delhi, India (Core rank B).
-
198. P. Sahoo,
S. Saha
, S. Mondal, S. Gowda (2022), "Vision Transformer Based COVID-19 Detection Using Chest CT-scan images", in
IEEE International Conference on Biomedical and Health Informatics (BHI-22)
, Ioannina Greece, from 27-30 September 2022.
-
197. S. K. Mishra, S. Sinha,
S. Saha
and P. Bhattacharyya (2022), "A Deep Learning based Framework for Image Paragraph Generation in Hindi", in
PACLIC 36 (2022) (The 36th
Pacific Asia Conference on Language, Information and Computation)
. October 20-22, 2022 (Core rank B)).
-
196. D. Chakder, P. Mondal, S. Raj,
S. Saha
, A. Ghosh, N. Onoe (2022), "Graph Network based Approaches for Multi-modal Movie Recommendation System", in
IEEE SMC 2022
(Core rank B).
-
195. P. Jha, Gael Dias, A. Lechervy, Jose G Moreno, A. Jangra, S. Pais,
S. Saha
(2022), "Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations", in
ACM Multimedia, 10-14 October 2022, Lisbon, Portugal (category A*)
.
-
194. A. K. Trivedi, A. Tiwari,
S. Saha
, A. Maitra, R. Ramnani, S. Sengupta (2022), "Towards Sentiment and Emotion aided Intent Detection", in
26TH International Conference on Pattern Recognition, August 21-25, 2022, Montral, Canada
.
-
193. C. Suman,
S. Saha
, P. Bhattacharyya (2022), "Authorship Attribution of Scientific Abstracts", in
26TH International Conference on Pattern Recognition, August 21-25, 2022, Montral, Canada
.
-
192. K. Maity,
S. Saha
, P. Bhattacharyya (2022), "Cyberbullying Detection in Code-Mixed Languages: Dataset and Techniques", in
26TH International Conference on Pattern Recognition, August 21-25, 2022, Montral, Canada
.
-
191. P. Sahoo,
S. Saha
, S. Mondal, S. Chowdhury, S. Gowda (2022), "Computer-Aided COVID-19 Screening from Chest CT-scan using a Fuzzy Ensemble-based Technique", in
2022 International Joint Conference on Neural Networks (IJCNN 2022)
, July 18-23, 2022, Padova, Italy.
-
190. R. Jain, T. Saha, S. Chakraborty,
S. Saha
(2022), "Domain Infused Conversational Response Generation for Tutoring based Virtual Agent", in
2022 International Joint Conference on Neural Networks (IJCNN 2022)
, July 18-23, 2022, Padova, Italy.
-
189. S. Pingali, P. Mondal, D. Chakder,
S. Saha
, A. Ghosh (2022), "Towards Developing a Multi-Modal Video Recommendation System", in
2022 International Joint Conference on Neural Networks (IJCNN 2022)
, July 18-23, 2022, Padova, Italy.
-
188. C. Suman, A. Singh,
S. Saha
, P. Bhattacharyya (2022), "Development of Multi-task Models for Emotion-Aware Gender Prediction", in
2022 International Joint Conference on Neural Networks (IJCNN 2022)
, July 18-23, 2022, Padova, Italy.
-
187. S. Palmal,
S. Saha
, S. Tripathy (2022), " HIV-1 Protease Cleavage Site Prediction using Staked Autoencoder with Ensemble of Classifier", in
2022 International Joint Conference on Neural Networks (IJCNN 2022)
, July 18-23, 2022, Padova, Italy.
-
186. T. Saha, S. M. Reddy, A. S. Das,
S. Saha
, P. Bhattacharyya (2022), "A Shoulder to Cry on: Towards A Motivational Virtual Assistant for Assuaging Mental Agony ", in
NAACL 2022 (core rank A)
.
-
185. R. Kumar, S. Mathias,
S. Saha
, P. Bhattacharyya (2022), "Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays", in
NAACL 2022 (core rank A)
.
-
184. K. Maity, P. Jha,
S. Saha
, P. Bhattacharyya (2022), "A Multitask Framework for Sentiment, Emotion, and Sarcasm aware Cyberbullying Detection in Multi-modal Code-Mixed Memes", in
SIGIR 2022 (core rank A*)
.
-
183. K. Maity, S. Bhattacharya, S. Phosit, S. Kongsamlit,
S. Saha
, K. Pasupa (2023), "Ex-ThaiHate: A Generative Multitask Framework for Sentiment and Emotion Aware Hate Speech Detection with Explanation in Thai",
ECML-PKDD (Core rank A)
.
-
182. V. Singh Roha, N. Saini,
S. Saha
, Jose G. Moreno Franco (2022), "Unsupervised Comment-based Multi-document Extractive Summarization", in
GECCO 2022 (core rank A)
.
-
181.S. Mishra, H. Kundarapu, S. Mitra,
S. Saha
, P. Bhattacharyya (2022), "Bug Report Summarization using Multi-View Multi-Objective Optimization Framework", in
GECCO 2022 (core rank A)
.
-
180. P. Sahoo,
S. Saha
, S. Mondal, N. Sharma (2022), "COVID-19 Detection from Lung Ultrasound Images using a Fuzzy Ensemble-based Transfer Learning Technique", in
ICPR 2022
.
-
179. B. Shaw,
S. Saha
, S. Mishra, A. Ghosh (2022), "Investigations in Psychological Stress Detection from Social Media Text using Deep Architectures", in
ICPR 2022
.
-
178. A Singh, S. Dey, A. Singha,
S. Saha
(2021), "Sentiment and Emotion-aware Multi-modal Complaint Identification", in
AAAI 2022 (core rank A*)
.
-
177. A. Singh, A. Nazir,
S. Saha
(2021), "Adversarial Multi-task Model for Emotion, Sentiment, and Sarcasm aided Complaint Detection", in
44th European Conference on Information Retrieval (10-14 April 2022), ECIR 2022 (core ranking A)
, Norway.
-
176. R. Jain, V. Mavi, A. Jangra,
S. Saha
(2021), "WIDAR - Weighted Input Document Augmented ROUGE", in
44th European Conference on Information Retrieval (10-14 April 2022), ECIR 2022 (core ranking A)
, April 10-14, 2022, Norway.
-
175. M. Tiwari, R. K. Sanodiya, J. Mathew, and
S. Saha
(2021), "A Particle Swarm Optimization based Feature Selection approach for Multi-source Visual Domain Adaptation", in
28th International Conference on Neural Information Processing (ICONIP-2021)
, December 8 - 12, 2021, BALI, Indonesia.
-
174. N. Priya, A. Tiwari and
S. Saha
(2021), "Context Aware Joint Modeling of Domain Classification, Intent Detection and Slot Filling with Zero-shot Intent Detection Approach", in
28th International Conference on Neural Information Processing (ICONIP-2021),
. December 8 - 12, 2021, BALI, Indonesia
-
173. K. Maity and
S. Saha
(2021), "A Multi-task Model for Sentiment aided Cyberbullying Detection in Code-Mixed Indian Languages", in
28th International Conference on Neural Information Processing (ICONIP-2021)
, December 8 - 12, 2021, BALI, Indonesia.
-
172.A. S. Das and
S. Saha
(2021), "Self-supervised Image-to-Text and Text-to-Image Synthesis", in
28th International Conference on Neural Information Processing (ICONIP-2021)
,December 8 - 12, 2021, BALI, Indonesia.
-
171. R. Kumar and
S. Saha
(2021), "A multi-task learning scheme for Motor Imagery Signal Classification", in
28th International Conference on Neural Information Processing (ICONIP-2021)
, December 8 - 12, 2021, BALI, Indonesia.
-
170. R. Salgotra, S. Singh, U. Singh,
S. Saha
, and A. H Gandomi (2021), "Hybridizing CuckooSearch with Naked Mole-rat Algorithm: Adapting for CEC 2017 and CEC 2021 Test Suites", in
IEEE Symposium Series on Computational Intelligence
, December 4th 7th 2021, Orlando, Florida, USA.
-
169. D. Bansal, R. Grover,
S. Saha
(2021), "A Multi-view Multiobjective Partitioning Technique for Search Results Clustering", in
IEEE International Confere
nce on Systems, Man and Cybernetics 2021
, 17th October - 21st October, 2021.
-
168. P. Dutta, N. Shah,
S. Saha
(2021), "A Multi-Objective Optimization-based Clustering Approach for CORD-19 Scholarly Articles", in
IEEE International Confere
nce on Systems, Man and Cybernetics 2021
, 17th October - 21st October, 2021.
-
167. A. Shastri, N. Saini,
S. Saha
, S. Mishra (2021), "MEABRS: A Multi-objective Evolutionary Framework for Software Bug Report Summarization", in
IEEE International Confere
nce on Systems, Man and Cybernetics 2021
, 17th October - 21st October, 2021.
-
166. S. Mishra, M. Babu Peethala,
S. Saha
, P. Bhattacharyya(2021), "An Information Multiplexed Encoder-Decoder Network for Image Captioning in Hindi", in
IEEE International Conference on Systems, Man and Cybernetics 2021
, 17th October - 21st October, 2021.
-
165. K. Gill,
S. Saha
(2021), "Dense Image Captioning in Hindi", in
IEEE International Conference on Systems, Man and Cybernetics 2021
, 17th October - 21st October, 2021.
-
164. A. Singh, T. Sen,
S. Saha
and M. Hasanuzzaman (2021), "Federated Multi-task Learning for Complaint Identification from Social Media Data", in
ACM Conference on Hypertext and Social Media 2021
, 30 August - 2nd September, 2021.
-
163. S. Pingali, S. Yadav, P. Dutta, and
S. Saha
(2021), "Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction", in
ACL Findings 2021
, August 2-4, 2021
( Category A*)
Codes
.
-
162. A. Singh,
S. Saha
(2021), "Are You Really Complaining? A Multi-task Framework for Complaint Identification, Emotion and Sentiment Classification" in
ICDAR 2021
, 5-10 September 2021
( Category A)
.
-
161. A. Jangra,
S. Saha
, A. Jatowt and M. Hasanuzzaman (2021), "Multi-Modal Supplementary-Complementary Summarization using Multi-Objective Optimization" in
SIGIR 2021
, 11-15 July 2021
( Category A*)
.
-
160. S. C. R. Miriyala, S. Agarwal,
S. Saha
(2021), "Generating Diverse Extended Summaries of Scientific Articles" in
International Joint Conference on Neural Networks (IJCNN) 2021
, 18-22 July 2021
( Category A)
.
-
159. K. Jha,
S. Saha
, S. Saha(2021), "Prediction of Protein-Protein Interactions using Deep Multi-Modal Representations" in
International Joint Conference on Neural Networks (IJCNN) 2021
, 18-22 July 2021
( Category A)
.
-
158. A. Qureshi, G. Dias,
S. Saha
, M. Hasanuzzaman(2021), "Gender-aware Estimation of Depression Severity Level in a Multimodal Setting" in
International Joint Conference on Neural Networks (IJCNN) 2021
, 18-22 July 2021
( Category A)
.
-
157. M. Tiwari, R. K. Sanodiya, J. Mathew and
S. Saha
(2021), "Multi-source based approach for Visual Domain Adaptation" in
International Joint Conference on Neural Networks (IJCNN) 2021
, 18-22 July 2021
( Category A)
.
-
156. C. Suman, R. Chaudhari,
S. Saha
, S. Kumar, and P. Bhattacharyya(2021), "An Emotion-aided Gender Prediction System" in
International Joint Conference on Neural Networks (IJCNN) 2021
, 18-22 July 2021
( Category A)
.
-
155. A. Tiwari, T. Saha,
S. Saha
, S. Sengupta, A. Maitra, R. Ramnani, and P. Bhattacharyya(2021), "Multi-Modal Dialogue Policy Learning for Dynamic and Co-operative Goal Setting" in
International Joint Conference on Neural Networks (IJCNN) 2021
, 18-22 July 2021
( Category A)
.
-
154. T. Saha, N. Priya,
S. Saha
and P. Bhattacharyya (2021), "A Transformer based Multi-task Model for Domain Classification, Intent Detection, and Slot-Filling" in
International Joint Conference on Neural Networks (IJCNN) 2021
, 18-22 July 2021
( Category A)
.
-
153. T. Saha, S. Chopra,
S. Saha
, P. Bhattacharyya and Dr. P. Kumar (2021), "A Large-Scale Dataset for Motivational Dialogue System: An Application of Natural Language Generation to Mental Health", in
International Joint Conference on Neural Networks (IJCNN) 2021
, 18-22 July 2021
( Category A)
.
-
152. C. Kanani,
S. Saha
and P. Bhattacharyya (2021), "Global Object Proposals for Improving Multi-Sentence Video Descriptions", in
International Joint Conference on Neural Networks (IJCNN) 2021
, 18-22 July 2021
( Category A)
.
-
151. N. Prasad,
S. Saha
and P. Bhattacharyya (2021), "A Multimodal Classification of Noisy Hate Speech using Character Level Embedding and Attention", in
International Joint Conference on Neural Networks (IJCNN) 2021
, 18-22 July 2021
( Category A)
.
-
150. T. Saha, A. Upadhyaya,
S. Saha
, P. Bhattacharyya (2021), "Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter", in
NAACL-HLT 2021
,
June 6-11, 2021
( Category A)
.
-
149. K. Maity,
S. Saha
(2021), " BERT-Capsule Model for Cyberbullying Detection in Code-Mixed Indian Languages", in
NLDB 2021
,
June 23-25, 2021.
-
148. C. Suman, R. Kumar,
S. Saha
, P. Bhattacharyya (2021), " Authorship Attribution using Capsule-based Fusion Approach", in
NLDB 2021
,
June 23-25, 2021.
-
147. S. Mishra, N. Saini,
S. Saha
, P. Bhattacharyya (2021), " Let's Summarize Scientific Documents! A Clustering-based Approach via Citation Context", in
NLDB 2021
,
June 23-25, 2021.
-
146. A. Jangra, R. Jain, V. Mavi, S. Saha and P. Bhattacharyya (2020), "Semantic Extractor-Paraphraser based Abstractive Summarization", in
ICON 2020: 17th International Conference on Natural Language Processing
, December 18-21, 2020.
-
145. C. Suman, J. Kumar,
S. Saha
and P. Bhattacharyya (2020), "D-Coref: A Fast and Lightweight Coreference Resolution Model using DistilBERT", in
ICON 2020: 17th International Conference on Natural Language Processing
, December 18-21, 2020.
-
144. C. Suman, A. Gupta,
S. Saha
and P. Bhattacharyya (2020), "A Multi-modal Personality Prediction System", in
ICON 2020: 17th International Conference on Natural Language
Processing,
December 18-21, 2020.
-
143. K. Jha,
S. Saha
, M. Khushi (2020),"Protein-Protein Interactions Prediction based on Bi-directional Gated Recurrent Unit and Multimodal Representation", in
International Conference on Neural Information Processing (ICONIP) 2020
, 18-22 November, 2020 (accepted) (
Category A
).
-
142. T. Saha, S. Chopra,
S. Saha
and P. Bhattacharyya (2020), "Reinforcement learning based personalized neural response generation", in
International Conference on Neural Information Processing (ICONIP) 2020
, 18-22 November, 2020 (accepted) (
Category A
).
-
141. D. Paul,
S. Saha
, J. Mathew (2020), "Online Multi-objective Subspace Clustering for Streaming Data", in
International Conference on Neural Information Processing (ICONIP) 2020
, 18-22 November, 2020 (accepted) (
Category A
).
-
140. N. Saini, S. Mansoori,
S. Saha
, P. Bhattacharyya (2020), "Multi-tweet Summarization using Fusion of Two Neural Networks", in
International Conference on Neural Information Processing (ICONIP) 2020
, 18-22 November, 2020 (accepted) (
Category A
).
-
139. S. Yadav, J. P. Sain, A. Sheth, A. Ekbal,
S. Saha
, P. Bhattacharyya (2021), "Assessing the Severity of Health States based on Social Media Posts", in
IEEE ICPR 2021
, 10-15 January, 2021, Milan, Italy (accepted) (
h5-index: 38
).
-
138. N. Saini, S. Kumar,
S. Saha
, P. Bhattacharyya (2021). "Exploring Graph-based Feature for Scientific Document Summarization using Evolutionary Framework", in
IEEE ICPR 2021
10-15 January, 2021, Milan, Italy (accepted) (
h5-index: 38
).
-
137. S. Mitra, and
S. Saha
(2021), "A Multi-task Multi-view based Multi-objective Clustering Algorithm", in
IEEE ICPR 2021
, 10-15 January, 2021, Milan, Italy (accepted) (
h5-index: 38
).
-
136. A. Jangra,
S. Saha
, A. Jatowt and M. Hasanuzzaman (2020), "Multi-Modal Summary Generation using Multi-objective Optimization", In
SIGIR 2020
, July 25-30, 2020 (Xi'an, China) (accepted)
(Category A*)
-
135. T. Saha, A. Patra,
S. Saha
and P. Bhattacharyya (2020), " Towards Emotion-aided Multi-modal Dialogue Act Classification", In ACL 2020, July 5-10, 2020, Seattle, Washington (accepted)
(Category A*)
.
-
134. P. Dutta and
S. Saha
(2020), "Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification", In ACL 2020, July 5-10, 2020, Seattle, Washington (accepted)
(Category A*)
.
-
133. T. Saha, A. P. Patra,
S. Saha
, and P. Bhattacharyya (2020), "A Transformer based Approach for Identification of Tweet Acts", IJCNN 2020, 19 --24th July, 2020, Glasgow (UK) (accepted)
(Category A)
.
-
132. T. Saha,
S. Saha
and P. Bhattacharyya (2020), " Transfer Learning-based Task-oriented Dialogue Policy for Multiple Domains using Hierarchical Reinforcement Learning", IJCNN 2020, 19 --24th July, 2020, Glasgow (UK) (accepted)
(Category A)
.
-
131. C. S. Kanani,
S. Saha
and P. Bhattacharyya (2020), "Improving Diversity and Reducing Redundancy in Paragraph Captions", IJCNN 2020, 19 --24th July, 2020, Glasgow (UK) (accepted)
(Category A)
.
-
130. S. Sridhar, S. Saha, A. Shaikh, R. Yedida and
S. Saha
(2020), "Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets", IJCNN 2020, 19 --24th July, 2020, Glasgow (UK) (accepted)
(Category A)
.
-
129. N. Saini, S. Kumar,
S. Saha
and P. Bhattacharyya (2020), "Mining Graph-based Features in Multi-objective Framework for Microblog Summarization", IEEE-CEC 2020, 19 --24th July, 2020, Glasgow (UK) (accepted) (h5 index: 66) .
-
128. S. J. Giri and
S. Saha
(2020), "Multi-View Gene Clustering using Gene Ontology and Expression-based Similarities", IEEE-CEC 2020, 19 --24th July, 2020, Glasgow (UK) (accepted) (h5 index: 66) .
-
127. R. Salgotra, U. Singh,
S. Saha
and A. H. Gandomi (2020), "Improving Cuckoo Search: Incorporating Changes for CEC 2017 and CEC 2020 Benchmark Problems", IEEE-CEC 2020, 19 --24th July, 2020, Glasgow (UK) (accepted)
(h5 index: 66)
.
-
126. A. Jangra, A. Jatowt, M. Hasanuzzaman and
S. Saha
(2019): "Text-Image-Video Summary Generation using Joint Integer Linear Programming",
In the proceedings of ECIR 2020
, 2020 (Core ranking:A).
-
125. N. Saini,
S. Saha
, A. Kumar, P. Bhattacharyya (2019): Multi-document summarization
using adaptive composite differential evolution,
In the proceedings of ICONIP 2019
, Sydney, Australia, December 12--December 15, 2019 (Core ranking:A).
-
124. N. Saini, R. Grover,
S. Saha
, P. Bhattacharyy (2019): Scientific document clustering using granular self-organizing map,
In the proceedings of ICONIP 2019
, Sydney, Australia from December 12--December 15, 2019 (Core ranking: A).
-
123. D. Paul, A. Kumar,
S. Saha
, J. Mathew (2019), Evolutionary based subspace clustering in multi-objective optimization framework,
In the proceedings of ICONIP 2019
, Sydney, Australia from December 12-December 15, 2019 (Core ranking: A).
-
122. D. Paul, R. Kumar,
S. Saha
, J. Mathew (2019): Online Feature Selection for Multi-label Classification in Multiobjective Optimization Framework,
IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2019)
, Vancouver, Canada from August 27- August 30, 2019 ( poster paper accepted)
.
-
121. S. Yadav, A. Ekbal,
S. Saha
, P. Bhattacharyya (2019): A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining,
Association for Computational Linguistics (ACL 2019)
, Florence (Italy) at the 'Fortezza da Basso' from July 28th to August 2nd, 2019 (full paper accepted)
(Core ranking: A*).
-
120. T. Ghosal, D. Dey, A. Dutta, A. Ekbal,
S. Saha
and P. Bhattacharyya (2019): A Multiview Clustering Approach To Identify Out-of-Scope Submissions in Peer Review,
ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL) 2019
, Urbana-Champaign, Illinois, June 2-6, 2019 (Poster paper accepted).
(Core ranking: A*).
-
119. T. Ghosal, A. Chakraborty, R. Sonam, A. Ekbal,
S. Saha
and P. Bhattacharyya (2019): Incorporating Full Text and Bibliographic Features to Improve Scholarly Journal Recommendation ,
ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL) 2019
, Urbana-Champaign, Illinois, June 2-6, 2019 (Poster paper accepted).
(Core ranking: A*).
-
118. T. Ghosal, A. Ekbal,
S. Saha
, P. Bhattacharyya and R. Sonam (2019): Is the Paper Within Scope? Are You Fishing in the Right Pond?,
ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL) 2019
, Urbana-Champaign, Illinois, June 2-6, 2019 (Short paper accepted).
(Core ranking: A*).
-
117. T. Ghosal, A. Raj, A. Ekbal,
S. Saha
and P. Bhattacharyya (2019): A Deep Multimodal Investigation To Determine the Appropriateness of a Scholarly Submission,
ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL) 2019
, Urbana-Champaign, Illinois, June 2-6, 2019 (accepted).
(Core ranking: A*).
-
116. T. Saha, S. Srivastava, M. Firdaus,
S. Saha
, A. Ekbal and P. Bhattacharyya (2019): Exploring Machine Learning and Deep Learning Frameworks for Task-Oriented Dialogue Act Classification,
IEEE International Joint Conference on Neural Networks (IJCNN) 2019
, Budapest, Hungary, July 14-19, 2019 (accepted).
(Core ranking: A).
-
115. T. Saha,
S. Saha
and P. Bhattacharyya (2019): Tweet Act Classification : A Deep Learning based Classifier for Recognizing Speech Acts in Twitter,
IEEE International Joint Conference on Neural Networks (IJCNN) 2019
, Budapest, Hungary, July 14-19, 2019 (accepted).
(Core ranking: A).
-
114. R. Salgotra, U. Singh,
S. Saha
and A. Nagar (2019): New Improved SALSHADE-cnEpSin Algorithm with Adaptive Parameters,
In the proceedings of IEEE CEC 2019
, New Zealand, June 10-13, 2019 (accepted).
(h5 index: 66).
-
113. K. Maity, R. Sengupta and
S. Saha
(2019): MM-NAEMO : Multimodal Neighborhood-sensitive Archived Evolutionary Many-objective Optimization Algorithm,
In the proceedings of IEEE CEC 2019
, New Zealand, June 10-13, 2019 (accepted).
(h5 index: 66).
-
112.
S. Saha
, D. Sarkar and S. Kramer (2019): Exploring Multi-Objective Optimization for Multi-Label Classifier Ensembles,
In the proceedings of IEEE CEC 2019
, New Zealand, June 10-13, 2019 (accepted).
(h5 index: 66).
-
111. P. Dutta and
S. Saha
(2019): A Weak Supervision Technique with a Generative Model for Improved Gene Clustering
In the proceedings of IEEE CEC 2019
, New Zealand, June 10-13, 2019 (accepted).
(h5 index: 66) .
-
110. P. Dutta,
S. Saha
, A. B. Chauhan (2018): Predicting Degree of Relevance of Pathway Markers from Gene Expression Data: A PSO Based Approach,
In the proceedings of 25th International Conference on Neural Information Processing (ICONIP2018)
, Siem Reap, Cambodia on December 13-16, 2018 (accepted).
(Core ranking: A).
-
109. R. K. Sanodiya,
S. Saha
, J. Mathew (2018): A Multi-Kernel Semi-Supervised Metric Learning using Multi-objective Optimization Approach,
In the proceedings of 25th International Conference on Neural Information Processing (ICONIP2018)
, Siem Reap, Cambodia on December 13-16, 2018 (accepted).
(Core ranking: A).
-
108. T. Saha, D. Gupta,
S. Saha
, P. Bhattacharyya (2018): Reinforcement Learning based Dialogue Management Strategy,
In the proceedings of 25th International Conference on Neural Information Processing (ICONIP2018)
, Siem Reap, Cambodia on December 13-16, 2018 (accepted).
(Core ranking: A).
-
107. T. Saha,
S. Saha
, P. Bhattacharyya (2018): Exploring Deep Learning Architectures coupled with CRF based Prediction for Slot-Filling,
In the proceedings of 25th International Conference on Neural Information Processing (ICONIP2018)
, Siem Reap, Cambodia on December 13-16, 2018 (accepted).
(Core ranking: A).
-
106. R. K. Sanodiya,
S. Saha
, J. Mathew and P. Bangwal (2018): Semi-Supervised Transfer Metric Learning with Relative Constraints,
In the proceedings of 25th International Conference on Neural Information Processing (ICONIP 2018)
, Siem Reap, Cambodia during December 13--16, 2018 (accepted).
(Core Ranking: A).
-
105. S. Mitra, M. Hasanuzzaman,
S. Saha
(2018): Incorporating Deep Visual Features into Multiobjective based Multi-view Search Result Clustering,
In the proceedings of 27th International Conference on Computational Linguistics (COLING 2018)
Santa Fe, New-Mexico, USA from August 20th--26th 2018 (accepted).
(Core Ranking: A).
-
104. T. Ghosal, R. Sonam,
S. Saha
, A. Ekbal and P. Bhattacharyya (2018) : Investigating Domain Features For Scope Detection and Classification of Scientific Articles,
In the proceedings of 7th International Workshop on Mining Scientific Publications held in conjunction with LREC 2018, Japan (accepted).
-
103. D. Paul,
S. Saha
and J. Mathew (2018): Multiobjective Optimization based Subspace Clustering using Evolvable Genome structure,
In the proceedings of GECCO 2018, Japan
(accepted as poster paper).
(Core ranking: A)
-
102. T. Ghosal, R. Verma, A. Ekbal,
S. Saha
and P. Bhattacharyya (2018): Investigating Impact Features in Editorial Pre-Screening of Research Papers,
In the proceedings of JCDL 2018, Texas
(accepted as poster paper).
(Core ranking: A*)
-
101. R. Salgotra, U. Singh and
S. Saha
(2018): Improved Cuckoo Search With Better Search Capabilities For Solving CEC2017 Benchmark Problems,
In the proceedings of IEEE CEC 2018, Brazil
(accepted).
(Core ranking: B)
-
100. S. Mishra,
S. Saha
, S. Mondal (2018): MBOS: Modified Best Order Sort Algorithm for Performing Non-dominated Sorting,
In the proceedings of IEEE CEC 2018, Brazil
(accepted).
(Core ranking: B)
-
99. N. Saini,
S. Saha
and P. Bhattacharyya (2018):Cascaded SOM: An Improved Technique for Automatic Email Classification,
In the proceedings of IJCNN 2018, Brazil (accepted)
.
(Core Ranking: A).
-
98. S. Yadav, A. Ekbal,
S. Saha
and P. Bhattacharyya (2018): Multi-task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment,
In the proceedings of 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018)
New Orleans, June 1 to June 6, 2018 at the Hyatt Regency New Orleans hotel.
(Core Ranking: A) (h5-index: 47) (accepted) .
-
97. S. Yadav, A. Ekbal,
S. Saha
and P. Bhattacharyya (2018): Medical Sentiment Analysis using Social Media: Towards building a Patient Assisted System,
In the proceedings of 11th International Conference on Language Resources and Evaluation (LREC 2018)
Miyazaki (Japan), 7--12 May 2018.
(Core Ranking: C) (h5-index: 43) (accepted)
-
96. N. Saini, S. Chourasia,
S. Saha
and P. Bhattacharyya (2017): A Self Organizing Map based Multi-objective Framework for Automatic Evolution of Clusters,
In the proceedings of 24th International Conference on Neural Information Processing
Guangzhou, China from November 14--18, 2017.
(Core Ranking: A) (h5-index: 17)
-
95. M. Hasanuzzaman, S. Kamila, M. Kaur,
S. Saha
and A. Ekbal (2017): Temporal Orientation of Tweets for Predicting Income of User,
In the Proceedigs of 55th annual meeting of the Association for Computational Linguistics (ACL)
, Vancouver, Canada during July 30--August 4, 2017 (accepted in short paper category) .
(Core Ranking: A*) (h5-index: 51)
-
94. S. Mishra,
S. Saha
, S. Mondal (2017): Unsupervised Method to Ensemble Results of Multiple Clustering Solutions for Bibliographic Data,
In Proceedings of 2017 IEEE Congress on Evolutionary Computation (IEEE CEC 2017)
, held during June 5-8, 2017 at Spain .
(Core Ranking: A) (h5-index: 51).
-
93. S. Yadav, A. Ekbal,
S. Saha
, P. Bhattacharyya (2017): Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection,
In Proceedings of EACL 2017,
April 3-7, 2017 at Valencia, Spain .
(Core Ranking: A) (h5-index: 26).
-
92. S. Yadav, A. Ekbal,
S. Saha
, P. Bhattacharyya (2016): A Deep Learning Architecture for Protein-Protein Interaction Article Identification.
In Proceedings of 23rd International Conference on Pattern Recognition (ICPR)
, Cancun, Mexico, December 2016 .
(Core Ranking: B) (h5-index: 26).
-
91. P. Sahoo, S. Acharya,
S. Saha
(2016): Automatic Generation of Biclusters from Gene Expression Data Using Multi-objective Simulated Annealing Approach.
In Proceedings of 23rd International Conference on Pattern Recognition (ICPR)
, held at Cancun, Mexico, December 4-8, 2016 .
(Core Ranking: B) (h5-index: 26).
-
90. P. Sahoo, A. Ekbal,
S. Saha
, D. Molla and K. Nandan (2016): Semi-supervised Clustering of Medical Text.
In the Proceedings of Clinical Natural Language Processing Workshop at COLING 2016
held at Osaka, Japan, December 2016, Pages 23--31
Received the best paper award in long paper category
.
-
89. S. Yadav, A. Ekbal,
S. Saha
and P. Bhattacharyya (2016): Deep Learning Architecture for Patient Data De-identification in Clinical Records.
In the Proceedings of Clinical Natural Language Processing Workshop at COLING 2016
held at Osaka, Japan, December 2016.
-
88. S. Yadav, A. Kumar, A. Ekbal,
S. Saha
and P. Bhattacharyya (2016): A Recurrent Neural Network Architecture for De-identifying Clinical Records.
In the Proceedings of Thirteenth International Conference on Natural Language Processing (ICON-2016)
, held at IIT BHU, Varanasi during December 17-20, 2016.
-
87. S. Kumar, A. Sinha Ray, A. Ekbal,
S. Saha
and P. Bhattacharyya (2016): Improving Document Ranking using Query Expansion and Classification Techniques for Mixed Script Information Retrieval.
In the Proceedings of Thirteenth International Conference on Natural Language Processing (ICON-2016)
held at IIT (BHU), Varanasi during December 17-20, 2016
-
86. S. Acharya, A. Ekbal,
S. Saha
, P. Santhanam, J. Moreno, and G. Dias (2016): Multi-Objective Word Sense Induction based on Content and Interlink Connections.
In Proceedings of NLDB 2016 - 21st International Conference on Applications of Natural Language to Information Systems
, 22-24 June 2016, University of Salford, MediaCity UK Campus, LNCS publication, Pages 366--375 .
(Core Ranking: C) (h5-index: 13).
-
85. S. Mishra,
S. Saha
and S. Mondal (2016): An Automatic Framework for Entity Matching in Bibliographic Databases.
In Proceedings of IEEE CEC 2016
, Vancouver, Canada, July 24-29, 2016.
(Core ranking: B, h5-index: 60).
-
84. S. Mishra,
S. Saha
and S. Mondal (2016): Divide and Conquer Based Non-dominated Sorting for Parallel Environment.
In Proceedings of IEEE CEC 2016
, Vancouver, Canada, July 24-29, 2016 .
(Core ranking:B, h5-index: 60).
-
83. S. Mishra, S. Mondal,
S. Saha
(2016): Fast Implementation of Steady State NSGA-II.
In Proceedings of IEEE CEC 2016
, Vancouver, Canada, July 24-29, 2016.
(Core ranking: B, h5-index: 60).
-
82. R. Das and
S. Saha
(2016): Gene Expression Data Classification using Automatic Differential Evolution Based Algorithm.
In Proceedings of IEEE CEC 2016
, Vancouver, Canada, July 24-29, 2016.
(Core ranking: B, h5-index: 60).
-
81. M. Pal,
S. Saha
and S. Bandyopadhyay (2016): Clustering based Online Automatic Objective Reduction to aid Many-Objective Optimization.
In Proceedings of IEEE CEC 2016
, Vancouver, Canada, July 24-29, 2016.
(Core ranking: B, h5-index: 60).
-
80. R. Das,
S. Saha
(2015): Microarray Gene Expression Data classification Using Modified Differential Evolution Based Algorithm.
In Proceedings of IEEE INDICON-2015
, Jamia Millia Islamia, New Delhi, India from 17-20 December 2015
(Best Paper Award)
.
-
79. R. Das,
S. Saha
(2015): Gene expression classification using a fuzzy point symmetry based PSO clustering technique.
2015 2nd Intl. Conference on Soft Computing and Machine Intelligence
, Hong Kong, November 23-24, 2015.
-
78. M. Hasanuzzaman,
S. Saha
, G. Dias, S. Ferrari (2015): Understanding Temporal Query Intent,
The 38th Annual ACM SIGIR Conference
, Santiago, Chile, August 9-13, 2015 .
(Core ranking : A*)
-
77. U. K. Sikdar, A. Ekbal and
S. Saha
(2015):Feature Selection in Anaphora Resolution for Bengali: A Multiobjective Approach,
16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015)
, April 14-20, 2015, Cairo, Egypt, (Computational Linguistics and Intelligent Text Processing Lecture Notes in Computer Science Volume 9041), pp 252-263 .
(Core ranking B) .
-
76. A. Kumar Laha, T. Sen and
S. Saha
(2015): Portfolio Optimization Using Krylov Subspace method MINRES-QLP,
4th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence
, held at IIM Ahmedabad on April 11-12, 2015.
-
75. A. Alok,
S. Saha
, A. Ekbal (2015): MR Brain Image Segmentation Using Muti-objective Semi-supervised Clustering,
IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems 2015, (IEEE SPICES 2015)
, held during 19-21 February 2015 at National Institute of Technology (NIT) Calicut, Kozhikode, Kerala, India.
-
74. A. Alok,
S. Saha
, A. Ekbal, N. Kanekar (2015): Simultaneous Feature Selection and Semi-supervised Clustering for Gene-Expression Data,
IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems 2015, (IEEE SPICES 2015)
, held during 19-21 February 2015 at National Institute of Technology (NIT) Calicut, Kozhikode, Kerala, India.
-
73. S. Mishra, S. Mondal and
S. Saha
(2015): Development and Analysis of Entity Matching Techniques for Bibliographic Database.
Research Colloquium in XRCI Open 2015
.
-
72. T. Sen,
S. Saha
, A. Ekbal and A. Laha (2014): Bi-objective Portfolio Optimization Using Archive Multi-objective Simulated Annealing.
2014 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND APPLICATIONS (ICHPCA)
, Bhubaneswar, India, December 22-24, 2014.
-
71. V. Singh,
S. Saha
(2014): Modified differential evolution based 0/1 clustering for classification of data points (2014).
1st International Conference on Contemporary Computing and Informatics (IC3I)
, Mysore, India, from 27 to 29 November 2014.
-
70. A. Alok,
S. Saha
, A. Ekbal, N. Kanekar (2014): Simultaneous Feature Selection and Unsupervised Clustering for Gene-Expression Data in Multiobjective Optimization Framework.
IEEE International Conference ICIIS-2014
, from Dec 15--17, 2014 at ABVIIITM, Gwalior India.
-
69. A. Alok,
S. Saha
and A. Ekbal (2014): Pixel Classification of Remote Sensing Satellite Image using Semi-supervised Clustering.
IEEE International Conference ICIIS-2014
, Dec 15-17, 2014 at ABVIIITM, Gwalior India
-
68. S. Acharya,
S. Saha
, S. Bandyopadhyay (2014): Development of Some Line Symmetry Based Automatic Clustering Techniques.
2014 International Conference on Information Technology (ICIT 2014)
, Bhubaneswar, India, December, 2014.
-
67. S. Acharya,
S. Saha
(2014): Identifying Co-expressed miRNAs using Multi-objective Optimization.
2014 International Conference on Information Technology (ICIT 2014)
, Bhubaneswar, India, December, 2014.
-
66. A. Alghamdi, F. Bonin, A. Ekbal,
S. Saha
, F. Cavulli, S. Tonelli, and M. Poesio (2014): Active Expert Learning for the Digital Humanities.
Workshop on semantic technologies for research in the humanities and social sciences (STRiX)
, Gothenburg, Sweden, on November 24-25, 2014.
-
65. A. Alok,
S. Saha
, A. Ekbal, R. Spandana (2014): Feature Selection and Semi-supervised Clustering UsingMultiobjective Optimization.
2014 Intl. Conference on Soft Computing Machine Intelligence (ISCMI2014)
, New Delhi, India, September 26-27, 2014.
-
64. S. Acharya,
S. Saha
, S. Bandyopadhyay (2014): Development of Some Line Symmetry Based Cluster Validity Indices.
2014 Intl. Conference on Soft Computing Machine Intelligence (ISCMI2014)
, New Delhi, India, September 26-27, 2014.
-
63. S. Acharya, Y. Thadisina and
S. Saha
(2014): Multi-objective clustering of tissue samples for cancer diagnosis.
International Conference on Advances in Computing, Communications and Informatics (ICACCI- 2014)
, New Delhi, India.
-
62. U. Sikdar, A. Ekbal and
S. Saha
(2014): Differential Evolution based Mul- tiobjective Optimization for Biomedical Entity Extraction.
International Conference on Advances in Computing, Communications and Informatics (ICACCI-2014)
, New Delhi, India.
-
61. A. Alok,
S. Saha
and A. Ekbal (2014): Gene-Expression Data Semi-Supervised Clustering in Multi-Objective Optimization Framework.
International Conference on Advances in Computing, Communications and Informatics (ICACCI-2014)
, New Delhi, India.
-
60. S. Acharya,
S. Saha
, J. G. Moreno and G. Dias (2014): Multi-Objective Search Results Clustering.
COLING 2014, the 25th International Conference on Computational Linguistics
, Dublin, 23-29 August 2014 .
(Core ranking: A).
-
59. S. Mishra,
S. Saha
, S. Mondal (2014): On Validation of Clustering Tech- niques for Bibliographic Databases.
22nd International Conference on Pattern Recognition (ICPR 2014)
, Stockholm, August 2014.
(Core ranking: B).
-
58. U. Kumar Sikdar, A. Ekbal and
S. Saha
(2014): IITP: A Supervised Approach for DisorderMention Detection and Disambiguation.
SemEval-2014 : Semantic Evaluation Exercises International Workshop on Semantic Evaluation (SemEval-2014)
, Dublin, Ireland.
-
57. Md. Hasanuzzaman,
S. Saha
and A. Ekbal (2010): Feature Subset Selection Using Genetic Algorithm for Named Entity Recognition.
In the Proceedings of Pacific Asia Conference on Language, Information and Computation
, Japan, November 4-7, 2010.
-
56. A. Ekbal,
S. Saha
, U. K. Sikdar and Md. Hasanuzzaman (2010): A Genetic Approach for Biomedical Named Entity Recognition.
In the Proceedings of 22th International Conference on Tools with Artificial Intelligence, France
, October 27-29, 2010.
-
55. S. Saha, A. Ekbal,
S. Saha
(2011): A Supervised Approach for Gene Mention Detection.
SEMCCO
(1) 2011: 425-432, LNCS.
-
54.
S. Saha
, A. Ekbal, O. Uryupina, M. Poesio (2011): Single and multi-objective optimization for feature selection in anaphora resolution.
5th International Joint Conference on Natural Language Processing (IJCNLP 2011)
, Thailand, November 8-13, PP. 93-101 .
(Core ranking: B).
-
53.
S. Saha
, Md. Hasanuzzaman, A. Majumder, A. Ekbal (2011): Bio-molecular Event Extraction using Support Vector Machine.
The 3rd International Conference on Advanced Computing (ICoAC 2011)
, December 14-16, 2011.
-
52. A. Ekbal, A. Majumder, Md. Hasanuzzaman,
S. Saha
(2011). Supervised Machine Learning Approach for Bio-molecular Event Extraction.
SEMCCO
(2) 2011: 231-238, LNCS.
51. A. Ekbal,
S. Saha
, O. Uryupina, M. Poesio: Multiobjective Simulated Annealing Based Approach for Feature Selection in Anaphora Resolution.
The 8th Discourse Anaphora and Anaphora Resolution Colloquium (DAARC 2011)
, October 6-7, Portugal, PP: 47-58, LNCS .
(Core ranking:C).
-
50. M. Poesio, E. Barbu, F. Bonin, F. Cavulli, E. W. Stemle, A. Ekbal,
S. Saha
, C. Girardi, F. Nardelli (2011): THE HUMANITIES RESEARCH PORTAL: Human Language Technology Meets Humanities Publication Repositories.
SDH 2011
, Denmark, November 17-18.
(Core ranking: C) .
-
49. O. Uryupina,
S. Saha
, A. Ekbal and M. Poesio (2011): Multi-metric optimization for coreference.
The UniTN / IITP / Essex submission to the 2011 CONLL Shared Task. CoNLL 2003
, Portland, Oregon, USA, June 23-24, 2011.
-
48.
S. Saha
, A. S. Sairam, A. Yadav, and A. Ekbal ( 2012): Genetic algorithm combined with support vector machine for building an intrusion detection system.
In Proceedings of the International Conference on Advances in Computing, Communications and Informatics (ICACCI -12)
. ACM, New York, NY, USA, 566-572.
-
47. A. Ekbal,
S. Saha
, and D. Singh ( 2012): Active machine learning technique for named entity recognition.
In Proceedings of the International Conference on Advances in Computing, Communications and Informatics (ICACCI -12)
. ACM, New York, NY, USA, 180-186.
-
46.
S. Saha
, A. Ekbal, M. Verma, U. Sikdar, and M. Poesio (2012): Active learning technique for biomedical named entity extraction.
In Proceedings of the International Conference on Advances in Computing, Communications and Informatics (ICACCI-12)
. ACM, New York, NY, USA, 835-841.
-
45. A. Ekbal,
S. Saha
, S. Girdhar (2013): Evolutionary Approach for Classifier Ensemble: An Application to Bio-molecular Event Extraction.
In Advances in Intelligent Systems and Computing
, Volume 182, 2013, pp 9-15.
-
44.
S. Saha
, A. Ekbal, S. Sharma, S. Bandyopadhyay, U. Maulik (2013): Protein Secondary Structure Prediction using Machine Learning.
Advances in Intelligent Systems and Computing
, Volume 182, 2013, pp 57-63.
-
43. A. Ekbal,
S. Saha
and K. Ravi (2012): Mention Detection and Classification in Bio-chemical Domain using Conditional Random Field.
2012 Third International Conference on Emerging Applications of Information Technology (EAIT 2012)
, November 30-December 01, 2012, Kolkata.
-
42. A. Ekbal,
S. Saha
and D. Singh (2012): Ensemble based Active Annotation for Named Entity Recognition.
2012 Third International Conference on Emerging Applications of Information Technology (EAIT 2012)
, November 30-December 01, 2012, Kolkata.
-
41.
S. Saha
, A. S. Sairam, A. Ekbal, and S. Zakir Hussain (2012): Dynamic Load Balancing of Network Traffic Using Multiobjective Optimization.
2012 Third International Conference on Emerging Applications of Information Technology (EAIT 2012)
, November 30-December 01, 2012, Kolkata.
-
40. A. Ekbal,
S. Saha
and U. K. Sikdar (2012): Multiobjective Optimization for Biomedical Named Entity Recognition and Classification.
2nd International Conference on Communication, Computing and Security (ICCCS 2012)
, October 6-7, 2012, Rourkela.
-
39. A. Majumder, Md. Hasanuzzaman, A. Ekbal and
S. Saha
(2012): Machine Learning Approach for Argument Extraction of Biomolecular Events.
2012 National Conference on Computing and Communication Systems (NCCCS)
.
-
38. U. K. Sikdar, A. Ekbal and
S. Saha
(2012): Differential Evolutionary Approach for Feature Selection and Classifier Ensemble in Named Entity Recognition.
24th International Conference on Computational Linguistics (COLING 2012 )
, 8-15 December, 2012, IIT Mumbai, pp. 2475-2490
(Core ranking: A)
.
-
37. A. Ekbal,
S. Saha
, G. Choudhary (2012): Plagiarism Detection in Text using Vector Space Model.
12th International Conference on Hybrid Intelligent Systems (HIS 2012)
, Pune, India, December 04-07, 2012.
-
36.
S. Saha
, A. K. Alok, A. Ekbal (2012): Semi-Supervised Clustering Using Multiobjective Optimization.
12th International Conference on Hybrid Intelligent Systems (HIS 2012)
, Pune, India, December 04-07, 2012.
-
35. A. K. Alok,
S. Saha
, A. Ekbal (2012): A min-max Distance Based External Cluster Validity Index: MMI.
12th International Conference on Hybrid Intelligent Systems (HIS 2012)
, Pune, India, December 04-07, 2012.
-
34. M. Verma, U. K. Sikdar,
S. Saha
and A. Ekbal (2013): Ensemble Based Active Annotation for Biomedical Named Entity Recognition.
2nd International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013)
, Mysore, India, August 22-25, 2013.
-
33. A. Ekbal and
S. Saha
(2013): Two Stage Genetic Approach for Bio-chemical Named Entity Recognition.
2nd International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013)
, Mysore, India, August 22-25, 2013.
-
32. U. K. Sikdar, A. Ekbal,
S. Saha
, O. Uryupina, and M. Poesio (2013): Adapting a State-of-the-art Anaphora Resolution System for Resource-poor Language. 6th International Joint Conference on Natural Language Processing, organized by the Asian Federation of Natural Language Processing, held in Nagoya, Japan during the period October 14-18, 2013.
-
31.
S. Saha
, A. Ekbal, S. Syed, U. K. Sikdar (2013): Memory Based Learner Coupled with Differential Evolution for Named Entity Recognition for Bengali Language.
Information Society 2013 multiconference, conference Intelligent Systems 2013
, 7 - 11 October 2013, Joef Stefan Institute, Jamova cesta 39, Ljubljana, Slovenia.
-
30. A. Majumder, A. Ekbal,
S. Saha
and M. Hasanuzzaman (2013): Genetic Algorithm Based Feature Selection for Bio-Molecular Event Extraction.
Information Society 2013 multiconference, conference Intelligent Systems
, 7 - 11 October 2013, Joef Stefan Institute, Jamova cesta 39, Ljubljana, Slovenia.
-
29.
S. Saha
, A. Ekbal, N. Vinayak (2013): Use of point symmetry based distance for gene expression data clustering.
Conference on Data Mining and Data Warehouses (SiKDD 2013)
, October 2013, Ljubljana, Slovenia (To be held at the 16th International Multiconference on Information Society IS-2013)
-
28. S. Mishra, S. Mondal,
S. Saha
(2013): Entity Matching Technique for Bibliographic Database.
Database and Expert Systems Applications Lecture Notes in Computer Science
, Volume 8056, 2013, pp 34-41.
-
27. S. Mishra,
S. Saha
and S. Mondal (2014): Cluster Validation Techniques for Bibliographic Databases.
IEEE Students’ Technology Symposium, IIT Kharagpur
, India, 28th February--2nd March, 2014
-
26. A. Ekbal,
S. Saha
, D. Molla and K Ravikumar (2013): Multi-Objective Optimization for Clustering of Medical Publications.
The Eleventh Annual Workshop of the Australasia Language Technology Association
, 4--6 December 2013, Brisbane, Queensland, Australia
-
25. A. Ekbal and
S. Saha
(2010): Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali,
In the Proceedings of 7th international conference on Language Resources and Evaluation (LREC)
, Malta, May 19--21, 2010 .
(core ranking: C)
-
24. A. Ekbal and
S. Saha
(2010): Weighted Vote Based Classifier Ensemble Selection Using Genetic Algorithm for Named Entity Recognition,
In the Proceedings of 15th International Conference on Applications of Natural Language to Information Systems
, June 23-25, 2010, Cardiff University, Cardiff, Wales, UK, pp. 256-267.
(core ranking: C)
-
23. A. Ekbal,
S. Saha
and C. S. Garbe (2010): Feature Selection Using Multiobjective Optimization for Named Entity Recognition,
In the Proceedings of ICPR 2010
, Turkey .
(core ranking: B)
-
22. A. Ekbal and
S. Saha
(2010): Classifier Ensemble using Multiobjective Optimization for Named Entity Recognition,
In the Proceedings of 19th European Conference on Artificial Intelligence - ECAI 2010
, Portugal, pp. 783--788 .
(core ranking: A)
-
21.
S. Saha
and S. Bandyopadhyay (2009): A Validity Index Based on Connectivity,
In the Proceedings of ICAPR 2009
, Kolkata, pp. 51-54.
-
20.
S. Saha
, S. Bandyopadhyay and C. T. Singh (2008): A New Line Symmetry Distance Based Pattern Classifier,
International Joint Conference on Neural Networks (IJCNN2008) as part of 2008 IEEE World Congress on Computational Intelligence (WCCI2008)
, Hongkong, 2008, pp. 1426-1433 .
(core ranking A)
-
19.
S. Saha
and S. Bandyopadhyay (2008): A New Multiobjective Simulated Annealing Based Clustering Technique Using Stability and Symmetry.
In the Proceedings of ICPR 2008
, Florida .
(core ranking: B)
-
18.
S. Saha
and S. Bandyopadhyay (2008): New Multiobjective Simulated Annealing based Fuzzy Clustering Technique for Pixel Classification in Remote Sensing Imagery.
In the Proceedings of ICPR 2008
, Florida .
(core ranking B)
-
17. S. Bandyopadhyay and
S. Saha
(2008): A New Principal Axis Based Line Symmetry Measurement and its Application to Clustering.
In the Proceedings of ICONIP 2008
, New Zealand, pp. 179-180.
(core ranking A)
-
16.
S. Saha
and S. Bandyopadhyay (2008): Unsupervised Pixel Classification in Satellite Imagery Using a New Multiobjective Symmetry Based Clustering Approach.
In the Proceedings of IEEE TENCON 2008
, Hyderabad .
(core ranking C)
-
15.
S. Saha
and S. Bandyopadhyay (2008): Application of a New Line Symmetry Distance Based Genetic Clustering Technique for Automatic MR Brain Image Segmentation.
In the Proceedings of IEEE TENCON 2008
, Hyderabad .
(core ranking C)
-
14.
S. Saha
and S. Bandyopadhyay (2007): A New Symmetry Based Genetic Clustering Technique for Automatic Evolution of Clusters.
Proceedings of International Conference on Advances in Pattern Recognition-2007 (ICAPR)
, Kolkata, pp. 81-87, 2007
-
13.
S. Saha
and S. Bandyopadhyay (2007): A Fuzzy Genetic Clustering Technique Using A New Symmetry Based Distance for Automatic Evolution of Clusters.
Proceedings of the International Conference on Computing: Theory and Applications ICCTA
, Kolkata, pp. 309-313, 2007
-
12.
S. Saha
and S. Bandyopadhyay (2007): On Some Symmetry Based Validity Indices.
IEEE International Congress on Evolutionary Computation
, Singapore, pp. 697-704, 2007.
(core rank: B)
-
11.
S. Saha
and S. Bandyopadhyay (2007): MRI Brain Image Segmentation by Fuzzy Symmetry Based Genetic Clustering Technique.
IEEE International Congress on Evolutionary Computation
, Singapore, pp. 4417-4424, 2007.
(core ranking B)
-
10.
S. Saha
and S. Bandyopadhyay (2007): A Validity Index Based on Cluster Symmetry.
IEEE International Conference SMC 2007
, Montreal, pp. 462-467, 2007.
(core ranking B)
-
9.
S. Saha
and S. Bandyopadhyay (2007): A Symmetry Based Face Detection Technique:
IEEE WIE National Symposium on Emerging Technologies(WieNSET 2007)
, (CD proceedings), Kolkata, 29-30 June, 2007. (available online:http://ewh.ieee.org/r10/calcutta/WIE/WieNSET07/papers/A1-2.pdf)
-
8.
S. Saha
and S. Bandyopadhyay (2007): Performance Assessment of Some Clustering Algorithms Based on A Fuzzy Granulation-degranulation Criterion:
International Conference on Information Technology, ICIT 2007
, pp. 62-67, Rourkela, DOI 10.1109/ICIT.2007.35 (IEEE CS Press)
-
7.
S. Saha
and S. Bandyopadhyay (2007): A Genetic Clustering Technique Using a New Line Symmetry Based Distance Measure.
15th International Conference on Advanced Computing and Communication (ADCOM 2007)
, Guwahati, 2007, pp. 365-370 (IEEE CS Press)
-
6.
S. Saha
and S. Bandyopadhyay (2007): A New Cluster Validity Index Based on Fuzzy Granulation degranulation Criterion.
15th International Conference on Advanced Computing and Communication (ADCOM 2007)
, Guwahati, 2007, pp. 353-358 (IEEE CS Press)
-
5.
S. Saha
and S. Bandyopadhyay (2006): Application of Multiobective Optimization for Data Clustering.
International Conference on Emerging Applications of IT
, February 10-11, Kolkata, India, pp. 275-278, 2006
-
4.
S. Saha
, S. Bandyopadhyay and U. Maulik (2006): A New Symmetry-Based Genetic Clustering Algorithm.
Proceedings of the Third International Conference on Artificial Intelligence In Engineering and Technology (ICAIET)
, Malaysia, pp. 417-422, 2006
-
3.
S. Saha
, S. Bandyopadhyay and U. Maulik (2006): A New Symmetry Based Cluster Validity Index: Application to Satellite Image Segmentation.
Proceedings of the IEEE 9th International Conference on Information Technology (ICIT)
, Bhubaneswar, pp. 121-124, 2006
-
2.
S. Saha
, S. Sur-Koley, S. Bandyopadhyay and P. Dasgupta (2006): Multiobjective Genetic Algorithm for k-way Equipartitioning of a Point Set with Application to CAD-VLSI.
Proceedings of the IEEE 9th International Conference on Information Technology (ICIT)
, Bhubaneswar, pp. 281-284, 2006
-
1. S. Bandyopadhyay and
S. Saha
(2005): Simultaneous Optimization of Multiple Objectives: New Methods and Applications.
Proceedings of the Eighth International Conference on Human and Computers
, University of Aizu, Japan, pp. 159-165, 2005